I: pbuilder: network access will be disabled during build I: Current time: Tue Sep 2 04:04:11 +14 2025 I: pbuilder-time-stamp: 1756735451 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/forky-reproducible-base.tgz] I: copying local configuration W: --override-config is not set; not updating apt.conf Read the manpage for details. I: mounting /proc filesystem I: mounting /sys filesystem I: creating /{dev,run}/shm I: mounting /dev/pts filesystem I: redirecting /dev/ptmx to /dev/pts/ptmx I: policy-rc.d already exists I: Copying source file I: copying [statsmodels_0.14.5+dfsg-1.dsc] I: copying [./statsmodels_0.14.5+dfsg.orig.tar.xz] I: copying [./statsmodels_0.14.5+dfsg-1.debian.tar.xz] I: Extracting source dpkg-source: warning: cannot verify inline signature for ./statsmodels_0.14.5+dfsg-1.dsc: no acceptable signature found dpkg-source: info: extracting statsmodels in statsmodels-0.14.5+dfsg dpkg-source: info: unpacking statsmodels_0.14.5+dfsg.orig.tar.xz dpkg-source: info: unpacking statsmodels_0.14.5+dfsg-1.debian.tar.xz dpkg-source: info: using patch list from debian/patches/series dpkg-source: info: applying use_cached_datasets.patch dpkg-source: info: applying use_system_inventory.patch dpkg-source: info: applying use_available_data.patch dpkg-source: info: applying i386_loosen_test_tolerances.patch dpkg-source: info: applying python3_shebangs.patch dpkg-source: info: applying use_tmp_path.patch dpkg-source: info: applying no_sphinx_material.patch dpkg-source: info: applying sphinx_reproducibility_and_ignore_errors.patch dpkg-source: info: applying sphinx_local_requirejs.patch dpkg-source: info: applying xfail_no_multiprocessing.patch dpkg-source: info: applying remove_ccbysa_snippet.patch dpkg-source: info: applying 997081_xfail.patch dpkg-source: info: applying xfail_i386_ets.patch dpkg-source: info: applying 1014884_loosen_test_tolerances.patch dpkg-source: info: applying 1020060_loosen_test_tolerance.patch dpkg-source: info: applying mips_ignore_nonwarning.patch dpkg-source: info: applying 1030208_scipy1p10.patch dpkg-source: info: applying mips_armel_ignore_nonconverge.patch dpkg-source: info: applying xfail_out_of_memory.patch dpkg-source: info: applying ignore_armel_nonwarning.patch dpkg-source: info: applying mips_ignore_nan_warnings.patch dpkg-source: info: applying cython3p0_compat.patch dpkg-source: info: applying fix_random_seeds.patch dpkg-source: info: applying xfail_dynamic_factor_news_bigendian.patch dpkg-source: info: applying 1079789_ignore_arm64_nonconvergence.patch I: Not using root during the build. I: Installing the build-deps I: user script /srv/workspace/pbuilder/838649/tmp/hooks/D01_modify_environment starting debug: Running on ionos1-amd64. I: Changing host+domainname to test build reproducibility I: Adding a custom variable just for the fun of it... I: Changing /bin/sh to bash '/bin/sh' -> '/bin/bash' lrwxrwxrwx 1 root root 9 Sep 1 14:15 /bin/sh -> /bin/bash I: Setting pbuilder2's login shell to /bin/bash I: Setting pbuilder2's GECOS to second user,second room,second work-phone,second home-phone,second other I: user script /srv/workspace/pbuilder/838649/tmp/hooks/D01_modify_environment finished I: user script /srv/workspace/pbuilder/838649/tmp/hooks/D02_print_environment starting I: set BASH=/bin/sh BASHOPTS=checkwinsize:cmdhist:complete_fullquote:extquote:force_fignore:globasciiranges:globskipdots:hostcomplete:interactive_comments:patsub_replacement:progcomp:promptvars:sourcepath BASH_ALIASES=() BASH_ARGC=() BASH_ARGV=() BASH_CMDS=() BASH_LINENO=([0]="12" [1]="0") BASH_LOADABLES_PATH=/usr/local/lib/bash:/usr/lib/bash:/opt/local/lib/bash:/usr/pkg/lib/bash:/opt/pkg/lib/bash:. BASH_SOURCE=([0]="/tmp/hooks/D02_print_environment" [1]="/tmp/hooks/D02_print_environment") BASH_VERSINFO=([0]="5" [1]="2" [2]="37" [3]="1" [4]="release" [5]="x86_64-pc-linux-gnu") BASH_VERSION='5.2.37(1)-release' BUILDDIR=/build/reproducible-path BUILDUSERGECOS='second user,second room,second work-phone,second home-phone,second other' BUILDUSERNAME=pbuilder2 BUILD_ARCH=amd64 DEBIAN_FRONTEND=noninteractive DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all parallel=40 ' DIRSTACK=() DISTRIBUTION=forky EUID=0 FUNCNAME=([0]="Echo" [1]="main") GROUPS=() HOME=/root HOSTNAME=i-capture-the-hostname HOSTTYPE=x86_64 HOST_ARCH=amd64 IFS=' ' INVOCATION_ID=ed5268d01430421f859f293f33622283 LANG=C LANGUAGE=et_EE:et LC_ALL=C MACHTYPE=x86_64-pc-linux-gnu MAIL=/var/mail/root OPTERR=1 OPTIND=1 OSTYPE=linux-gnu PATH=/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path PBCURRENTCOMMANDLINEOPERATION=build PBUILDER_OPERATION=build PBUILDER_PKGDATADIR=/usr/share/pbuilder PBUILDER_PKGLIBDIR=/usr/lib/pbuilder PBUILDER_SYSCONFDIR=/etc PIPESTATUS=([0]="0") POSIXLY_CORRECT=y PPID=838649 PS4='+ ' PWD=/ SHELL=/bin/bash SHELLOPTS=braceexpand:errexit:hashall:interactive-comments:posix SHLVL=3 SUDO_COMMAND='/usr/bin/timeout -k 24.1h 24h /usr/bin/ionice -c 3 /usr/bin/nice -n 11 /usr/bin/unshare --uts -- /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/r-b-build.FdA6NT91/pbuilderrc_BAhP --distribution forky --hookdir /etc/pbuilder/rebuild-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/forky-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.FdA6NT91/b2 --logfile b2/build.log statsmodels_0.14.5+dfsg-1.dsc' SUDO_GID=110 SUDO_HOME=/var/lib/jenkins SUDO_UID=105 SUDO_USER=jenkins TERM=unknown TZ=/usr/share/zoneinfo/Etc/GMT-14 UID=0 USER=root _='I: set' http_proxy=http://46.16.76.132:3128 I: uname -a Linux i-capture-the-hostname 6.12.41+deb13-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.12.41-1 (2025-08-12) x86_64 GNU/Linux I: ls -l /bin lrwxrwxrwx 1 root root 7 Aug 10 12:30 /bin -> usr/bin I: user script /srv/workspace/pbuilder/838649/tmp/hooks/D02_print_environment finished -> Attempting to satisfy build-dependencies -> Creating pbuilder-satisfydepends-dummy package Package: pbuilder-satisfydepends-dummy Version: 0.invalid.0 Architecture: amd64 Maintainer: Debian Pbuilder Team Description: Dummy package to satisfy dependencies with aptitude - created by pbuilder This package was created automatically by pbuilder to satisfy the build-dependencies of the package being currently built. Depends: cython3 (>= 3.0.10~), debhelper-compat (= 13), dh-sequence-numpy3, dh-sequence-python3, dh-sequence-sphinxdoc, pybuild-plugin-pyproject, python3-all-dev, python3-colorama, python3-cvxopt, python3-dateutil, python3-jinja2, python3-joblib, python3-matplotlib, python3-numpy (>= 1:2.0.0~), python3-packaging (>= 21.3~), python3-pandas (>= 1.4~), python3-patsy (>= 0.5.6~), python3-pytest, python3-pytest-forked, python3-scipy (>= 1.13~), python3-setuptools (>= 69.0.2~), python3-setuptools-scm (>= 8~), python3-tk, python3-jupyter-client, python3-nbconvert, python3-nbsphinx, python3-notebook, python3-numpydoc, python3-pickleshare, python3-seaborn, python3-simplegeneric, python3-sphinx, python3-yaml, python3-yapf, jdupes, python-matplotlib-doc, python-numpy-doc, python-scipy-doc, python-pandas-doc, python3-doc, r-base-core, python3-rpy2, r-cran-cardata, r-cran-geepack, r-cran-guerry, r-cran-lme4, r-cran-mass, r-cran-robustbase, r-cran-vcd, pandoc dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'. Selecting previously unselected package pbuilder-satisfydepends-dummy. (Reading database ... 19897 files and directories currently installed.) Preparing to unpack .../pbuilder-satisfydepends-dummy.deb ... Unpacking pbuilder-satisfydepends-dummy (0.invalid.0) ... dpkg: pbuilder-satisfydepends-dummy: dependency problems, but configuring anyway as you requested: pbuilder-satisfydepends-dummy depends on cython3 (>= 3.0.10~); however: Package cython3 is not installed. pbuilder-satisfydepends-dummy depends on debhelper-compat (= 13); however: Package debhelper-compat is not installed. pbuilder-satisfydepends-dummy depends on dh-sequence-numpy3; however: Package dh-sequence-numpy3 is not installed. pbuilder-satisfydepends-dummy depends on dh-sequence-python3; however: Package dh-sequence-python3 is not installed. pbuilder-satisfydepends-dummy depends on dh-sequence-sphinxdoc; however: Package dh-sequence-sphinxdoc is not installed. pbuilder-satisfydepends-dummy depends on pybuild-plugin-pyproject; however: Package pybuild-plugin-pyproject is not installed. pbuilder-satisfydepends-dummy depends on python3-all-dev; however: Package python3-all-dev is not installed. pbuilder-satisfydepends-dummy depends on python3-colorama; however: Package python3-colorama is not installed. pbuilder-satisfydepends-dummy depends on python3-cvxopt; however: Package python3-cvxopt is not installed. pbuilder-satisfydepends-dummy depends on python3-dateutil; however: Package python3-dateutil is not installed. pbuilder-satisfydepends-dummy depends on python3-jinja2; however: Package python3-jinja2 is not installed. pbuilder-satisfydepends-dummy depends on python3-joblib; however: Package python3-joblib is not installed. pbuilder-satisfydepends-dummy depends on python3-matplotlib; however: Package python3-matplotlib is not installed. pbuilder-satisfydepends-dummy depends on python3-numpy (>= 1:2.0.0~); however: Package python3-numpy is not installed. pbuilder-satisfydepends-dummy depends on python3-packaging (>= 21.3~); however: Package python3-packaging is not installed. pbuilder-satisfydepends-dummy depends on python3-pandas (>= 1.4~); however: Package python3-pandas is not installed. pbuilder-satisfydepends-dummy depends on python3-patsy (>= 0.5.6~); however: Package python3-patsy is not installed. pbuilder-satisfydepends-dummy depends on python3-pytest; however: Package python3-pytest is not installed. pbuilder-satisfydepends-dummy depends on python3-pytest-forked; however: Package python3-pytest-forked is not installed. pbuilder-satisfydepends-dummy depends on python3-scipy (>= 1.13~); however: Package python3-scipy is not installed. pbuilder-satisfydepends-dummy depends on python3-setuptools (>= 69.0.2~); however: Package python3-setuptools is not installed. pbuilder-satisfydepends-dummy depends on python3-setuptools-scm (>= 8~); however: Package python3-setuptools-scm is not installed. pbuilder-satisfydepends-dummy depends on python3-tk; however: Package python3-tk is not installed. pbuilder-satisfydepends-dummy depends on python3-jupyter-client; however: Package python3-jupyter-client is not installed. pbuilder-satisfydepends-dummy depends on python3-nbconvert; however: Package python3-nbconvert is not installed. pbuilder-satisfydepends-dummy depends on python3-nbsphinx; however: Package python3-nbsphinx is not installed. pbuilder-satisfydepends-dummy depends on python3-notebook; however: Package python3-notebook is not installed. pbuilder-satisfydepends-dummy depends on python3-numpydoc; however: Package python3-numpydoc is not installed. pbuilder-satisfydepends-dummy depends on python3-pickleshare; however: Package python3-pickleshare is not installed. pbuilder-satisfydepends-dummy depends on python3-seaborn; however: Package python3-seaborn is not installed. pbuilder-satisfydepends-dummy depends on python3-simplegeneric; however: Package python3-simplegeneric is not installed. pbuilder-satisfydepends-dummy depends on python3-sphinx; however: Package python3-sphinx is not installed. pbuilder-satisfydepends-dummy depends on python3-yaml; however: Package python3-yaml is not installed. pbuilder-satisfydepends-dummy depends on python3-yapf; however: Package python3-yapf is not installed. pbuilder-satisfydepends-dummy depends on jdupes; however: Package jdupes is not installed. pbuilder-satisfydepends-dummy depends on python-matplotlib-doc; however: Package python-matplotlib-doc is not installed. pbuilder-satisfydepends-dummy depends on python-numpy-doc; however: Package python-numpy-doc is not installed. pbuilder-satisfydepends-dummy depends on python-scipy-doc; however: Package python-scipy-doc is not installed. pbuilder-satisfydepends-dummy depends on python-pandas-doc; however: Package python-pandas-doc is not installed. pbuilder-satisfydepends-dummy depends on python3-doc; however: Package python3-doc is not installed. pbuilder-satisfydepends-dummy depends on r-base-core; however: Package r-base-core is not installed. pbuilder-satisfydepends-dummy depends on python3-rpy2; however: Package python3-rpy2 is not installed. pbuilder-satisfydepends-dummy depends on r-cran-cardata; however: Package r-cran-cardata is not installed. pbuilder-satisfydepends-dummy depends on r-cran-geepack; however: Package r-cran-geepack is not installed. pbuilder-satisfydepends-dummy depends on r-cran-guerry; however: Package r-cran-guerry is not installed. pbuilder-satisfydepends-dummy depends on r-cran-lme4; however: Package r-cran-lme4 is not installed. pbuilder-satisfydepends-dummy depends on r-cran-mass; however: Package r-cran-mass is not installed. pbuilder-satisfydepends-dummy depends on r-cran-robustbase; however: Package r-cran-robustbase is not installed. pbuilder-satisfydepends-dummy depends on r-cran-vcd; however: Package r-cran-vcd is not installed. pbuilder-satisfydepends-dummy depends on pandoc; however: Package pandoc is not installed. Setting up pbuilder-satisfydepends-dummy (0.invalid.0) ... Reading package lists... Building dependency tree... Reading state information... Initializing package states... Writing extended state information... Building tag database... pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) The following NEW packages will be installed: autoconf{a} automake{a} autopoint{a} autotools-dev{a} blt{a} bsdextrautils{a} ca-certificates{a} cython3{a} debhelper{a} dh-autoreconf{a} dh-python{a} dh-strip-nondeterminism{a} docutils-common{a} dwz{a} file{a} fontconfig{a} fontconfig-config{a} fonts-dejavu-core{a} fonts-dejavu-mono{a} fonts-font-awesome{a} fonts-glyphicons-halflings{a} fonts-lyx{a} fonts-mathjax{a} fonts-open-sans{a} gdb{a} gettext{a} gettext-base{a} groff-base{a} intltool-debian{a} jdupes{a} libamd3{a} libarchive-zip-perl{a} libargon2-1{a} libbabeltrace1{a} libblas3{a} libbrotli1{a} libcairo2{a} libcamd3{a} libccolamd3{a} libcholmod5{a} libcolamd3{a} libcom-err2{a} libcurl3t64-gnutls{a} libcurl4t64{a} libdatrie1{a} libdebhelper-perl{a} libdebuginfod-common{a} libdebuginfod1t64{a} libdeflate0{a} libdsdp-5.8t64{a} libdw1t64{a} libelf1t64{a} libexpat1{a} libexpat1-dev{a} libffi8{a} libfftw3-double3{a} libfile-stripnondeterminism-perl{a} libfontconfig1{a} libfreetype6{a} libfribidi0{a} libgcrypt20{a} libgfortran5{a} libglib2.0-0t64{a} libglpk40{a} libgnutls30t64{a} libgpg-error0{a} libgraphite2-3{a} libgsl28{a} libgslcblas0{a} libgssapi-krb5-2{a} libharfbuzz0b{a} libice6{a} libicu76{a} libidn2-0{a} libimagequant0{a} libipt2{a} libjbig0{a} libjodycode3t64{a} libjpeg62-turbo{a} libjs-backbone{a} libjs-bootstrap{a} libjs-bootstrap-tour{a} libjs-codemirror{a} libjs-es6-promise{a} libjs-jed{a} libjs-jquery{a} libjs-jquery-typeahead{a} libjs-jquery-ui{a} libjs-marked{a} libjs-mathjax{a} libjs-moment{a} libjs-requirejs{a} libjs-requirejs-text{a} libjs-sphinxdoc{a} libjs-text-encoding{a} libjs-underscore{a} libjs-xterm{a} libjson-c5{a} libjson-perl{a} libk5crypto3{a} libkeyutils1{a} libkrb5-3{a} libkrb5support0{a} liblapack3{a} liblcms2-2{a} libldap2{a} liblerc4{a} libltdl7{a} liblua5.4-0{a} libmagic-mgc{a} libmagic1t64{a} libnghttp2-14{a} libnghttp3-9{a} libngtcp2-16{a} libngtcp2-crypto-gnutls8{a} libnlopt0{a} libnorm1t64{a} libnuma1{a} libopenjp2-7{a} libp11-kit0{a} libpango-1.0-0{a} libpangocairo-1.0-0{a} libpangoft2-1.0-0{a} libpaper-utils{a} libpaper2{a} libpgm-5.3-0t64{a} libpipeline1{a} libpixman-1-0{a} libpng16-16t64{a} libproc2-0{a} libpsl5t64{a} libpython3-all-dev{a} libpython3-dev{a} libpython3-stdlib{a} libpython3.13{a} libpython3.13-dev{a} libpython3.13-minimal{a} libpython3.13-stdlib{a} libqhull-r8.0{a} libraqm0{a} libreadline8t64{a} librtmp1{a} libsasl2-2{a} libsasl2-modules-db{a} libsharpyuv0{a} libsm6{a} libsodium23{a} libsource-highlight-common{a} libsource-highlight4t64{a} libssh2-1t64{a} libsuitesparseconfig7{a} libtasn1-6{a} libtcl8.6{a} libtext-charwidth-perl{a} libtext-wrapi18n-perl{a} libthai-data{a} libthai0{a} libtiff6{a} libtirpc-common{a} libtirpc3t64{a} libtk8.6{a} libtool{a} libuchardet0{a} libumfpack6{a} libunistring5{a} libwebp7{a} libwebpdemux2{a} libwebpmux3{a} libx11-6{a} libx11-data{a} libxau6{a} libxcb-render0{a} libxcb-shm0{a} libxcb1{a} libxdmcp6{a} libxext6{a} libxft2{a} libxml2-16{a} libxrender1{a} libxslt1.1{a} libxss1{a} libxt6t64{a} libyaml-0-2{a} libzmq5{a} libzopfli1{a} littler{a} m4{a} man-db{a} media-types{a} netbase{a} node-jed{a} openssl{a} pandoc{a} pandoc-data{a} po-debconf{a} procps{a} pybuild-plugin-pyproject{a} python-babel-localedata{a} python-matplotlib-data{a} python-matplotlib-doc{a} python-numpy-doc{a} python-pandas-doc{a} python-scipy-doc{a} python-tinycss2-common{a} python3{a} python3-alabaster{a} python3-all{a} python3-all-dev{a} python3-argon2{a} python3-argon2-cffi-bindings{a} python3-asttokens{a} python3-attr{a} python3-autocommand{a} python3-babel{a} python3-bleach{a} python3-brotli{a} python3-bs4{a} python3-build{a} python3-certifi{a} python3-cffi{a} python3-cffi-backend{a} python3-chardet{a} python3-charset-normalizer{a} python3-colorama{a} python3-comm{a} python3-contourpy{a} python3-coverage{a} python3-cvxopt{a} python3-cycler{a} python3-dateutil{a} python3-debugpy{a} python3-decorator{a} python3-defusedxml{a} python3-dev{a} python3-doc{a} python3-docutils{a} python3-executing{a} python3-fastjsonschema{a} python3-fonttools{a} python3-fs{a} python3-html5lib{a} python3-idna{a} python3-imagesize{a} python3-inflect{a} python3-iniconfig{a} python3-installer{a} python3-ipykernel{a} python3-ipython{a} python3-ipython-genutils{a} python3-jaraco.context{a} python3-jaraco.functools{a} python3-jaraco.text{a} python3-jedi{a} python3-jinja2{a} python3-joblib{a} python3-jsonschema{a} python3-jsonschema-specifications{a} python3-jupyter-client{a} python3-jupyter-core{a} python3-jupyterlab-pygments{a} python3-kiwisolver{a} python3-lxml{a} python3-lz4{a} python3-markupsafe{a} python3-matplotlib{a} python3-matplotlib-inline{a} python3-minimal{a} python3-mistune{a} python3-more-itertools{a} python3-mpmath{a} python3-nbclient{a} python3-nbconvert{a} python3-nbformat{a} python3-nbsphinx{a} python3-nest-asyncio{a} python3-notebook{a} python3-numpy{a} python3-numpy-dev{a} python3-numpydoc{a} python3-packaging{a} python3-pandas{a} python3-pandas-lib{a} python3-pandocfilters{a} python3-parso{a} python3-patsy{a} python3-pexpect{a} python3-pickleshare{a} python3-pil{a} python3-pil.imagetk{a} python3-pkg-resources{a} python3-platformdirs{a} python3-pluggy{a} python3-ply{a} python3-prometheus-client{a} python3-prompt-toolkit{a} python3-psutil{a} python3-ptyprocess{a} python3-pure-eval{a} python3-py{a} python3-pycparser{a} python3-pygments{a} python3-pyparsing{a} python3-pyproject-hooks{a} python3-pytest{a} python3-pytest-forked{a} python3-pytz{a} python3-referencing{a} python3-requests{a} python3-roman{a} python3-roman-numerals{a} python3-rpds-py{a} python3-rpy2{a} python3-scipy{a} python3-seaborn{a} python3-send2trash{a} python3-setuptools{a} python3-setuptools-scm{a} python3-simplegeneric{a} python3-snowballstemmer{a} python3-soupsieve{a} python3-sphinx{a} python3-stack-data{a} python3-sympy{a} python3-terminado{a} python3-tinycss2{a} python3-tk{a} python3-tornado{a} python3-traitlets{a} python3-typeguard{a} python3-typeshed{a} python3-typing-extensions{a} python3-tzlocal{a} python3-ufolib2{a} python3-urllib3{a} python3-wcwidth{a} python3-webencodings{a} python3-wheel{a} python3-yaml{a} python3-yapf{a} python3-zipp{a} python3-zmq{a} python3-zopfli{a} python3.13{a} python3.13-dev{a} python3.13-doc{a} python3.13-minimal{a} python3.13-tk{a} r-base-core{a} r-cran-backports{a} r-cran-boot{a} r-cran-broom{a} r-cran-cardata{a} r-cran-cli{a} r-cran-colorspace{a} r-cran-cpp11{a} r-cran-deoptimr{a} r-cran-dplyr{a} r-cran-fansi{a} r-cran-geepack{a} r-cran-generics{a} r-cran-glue{a} r-cran-guerry{a} r-cran-lattice{a} r-cran-lifecycle{a} r-cran-littler{a} r-cran-lme4{a} r-cran-lmtest{a} r-cran-magrittr{a} r-cran-mass{a} r-cran-matrix{a} r-cran-minqa{a} r-cran-nlme{a} r-cran-nloptr{a} r-cran-pillar{a} r-cran-pkgconfig{a} r-cran-pkgkitten{a} r-cran-purrr{a} r-cran-r6{a} r-cran-rbibutils{a} r-cran-rcpp{a} r-cran-rcppeigen{a} r-cran-rdpack{a} r-cran-reformulas{a} r-cran-rlang{a} r-cran-robustbase{a} r-cran-sp{a} r-cran-statmod{a} r-cran-stringi{a} r-cran-stringr{a} r-cran-tibble{a} r-cran-tidyr{a} r-cran-tidyselect{a} r-cran-utf8{a} r-cran-vcd{a} r-cran-vctrs{a} r-cran-withr{a} r-cran-zoo{a} readline-common{a} sensible-utils{a} sgml-base{a} sphinx-common{a} tk8.6-blt2.5{a} tzdata{a} ucf{a} unicode-data{a} unzip{a} x11-common{a} xdg-utils{a} xml-core{a} zip{a} zlib1g-dev{a} The following packages are RECOMMENDED but will NOT be installed: curl isympy-common javascript-common krb5-locales libarchive-cpio-perl libfile-mimeinfo-perl libglib2.0-data libgpg-error-l10n libjson-xs-perl libldap-common libltdl-dev libmail-sendmail-perl libnet-dbus-perl libsasl2-modules libx11-protocol-perl linux-sysctl-defaults lynx psmisc publicsuffix python3-bottleneck python3-cssselect python3-fqdn python3-gi python3-ipywidgets python3-isoduration python3-json-pointer python3-numba python3-numexpr python3-odf python3-olefile python3-openpyxl python3-pooch python3-rfc3339-validator python3-rfc3986-validator python3-rfc3987 python3-sphinxcontrib.bibtex python3-tables python3-tz python3-uritemplate python3-webcolors r-base-dev r-cran-aer r-cran-bbmle r-cran-bench r-cran-bit64 r-cran-blob r-cran-brio r-cran-callr r-cran-car r-cran-caret r-cran-cluster r-cran-cmprsk r-cran-coda r-cran-coin r-cran-covr r-cran-crayon r-cran-data.table r-cran-dbi r-cran-dbplyr r-cran-decor r-cran-deldir r-cran-desc r-cran-diagrammer r-cran-digest r-cran-e1071 r-cran-emmeans r-cran-epir r-cran-evaluate r-cran-formattable r-cran-fs r-cran-gam r-cran-gbrd r-cran-gee r-cran-ggplot2 r-cran-glmnet r-cran-gmm r-cran-here r-cran-hmisc r-cran-hms r-cran-hsaur3 r-cran-htmltools r-cran-htmlwidgets r-cran-httr r-cran-interp r-cran-irlba r-cran-jpeg r-cran-kernlab r-cran-kernsmooth r-cran-knitr r-cran-ks r-cran-lavaan r-cran-leaps r-cran-lintr r-cran-lobstr r-cran-lsmeans r-cran-lubridate r-cran-maps r-cran-mclust r-cran-metafor r-cran-mgcv r-cran-microbenchmark r-cran-mockery r-cran-modeldata r-cran-multcomp r-cran-mvtnorm r-cran-nanotime r-cran-network r-cran-nnet r-cran-ordinal r-cran-palmerpenguins r-cran-pkgbuild r-cran-pkgdown r-cran-pkgload r-cran-plm r-cran-png r-cran-processx r-cran-progress r-cran-ps r-cran-psych r-cran-quantreg r-cran-raster r-cran-rcolorbrewer r-cran-readr r-cran-rmarkdown r-cran-rmysql r-cran-robust r-cran-rpostgresql r-cran-rprojroot r-cran-rsample r-cran-rsqlite r-cran-rstudioapi r-cran-sandwich r-cran-scales r-cran-sf r-cran-shiny r-cran-shinyjs r-cran-spatialreg r-cran-spdep r-cran-spelling r-cran-survey r-cran-survival r-cran-systemfit r-cran-terra r-cran-testthat r-cran-tidyverse r-cran-tseries r-cran-unitizer r-cran-units r-cran-usethis r-cran-vdiffr r-cran-viridis r-cran-waldo r-cran-whoami r-cran-xml2 r-cran-zeallot r-doc-html r-recommended shared-mime-info wget x11-utils x11-xserver-utils xdg-user-dirs 0 packages upgraded, 411 newly installed, 0 to remove and 0 not upgraded. Need to get 511 MB of archives. After unpacking 1983 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian forky/main amd64 libtext-charwidth-perl amd64 0.04-11+b4 [9476 B] Get: 2 http://deb.debian.org/debian forky/main amd64 libtext-wrapi18n-perl all 0.06-10 [8808 B] Get: 3 http://deb.debian.org/debian forky/main amd64 libproc2-0 amd64 2:4.0.4-9 [65.6 kB] Get: 4 http://deb.debian.org/debian forky/main amd64 procps amd64 2:4.0.4-9 [882 kB] Get: 5 http://deb.debian.org/debian forky/main amd64 sensible-utils all 0.0.26 [27.0 kB] Get: 6 http://deb.debian.org/debian forky/main amd64 ucf all 3.0052 [43.3 kB] Get: 7 http://deb.debian.org/debian forky/main amd64 libdebuginfod-common all 0.192-4 [23.7 kB] Get: 8 http://deb.debian.org/debian forky/main amd64 libexpat1 amd64 2.7.1-2 [108 kB] Get: 9 http://deb.debian.org/debian forky/main amd64 libpython3.13-minimal amd64 3.13.7-1 [864 kB] Get: 10 http://deb.debian.org/debian forky/main amd64 python3.13-minimal amd64 3.13.7-1 [2216 kB] Get: 11 http://deb.debian.org/debian forky/main amd64 python3-minimal amd64 3.13.5-1 [27.2 kB] Get: 12 http://deb.debian.org/debian forky/main amd64 media-types all 13.0.0 [29.3 kB] Get: 13 http://deb.debian.org/debian forky/main amd64 netbase all 6.5 [12.4 kB] Get: 14 http://deb.debian.org/debian forky/main amd64 tzdata all 2025b-5 [260 kB] Get: 15 http://deb.debian.org/debian forky/main amd64 libffi8 amd64 3.4.8-2 [24.1 kB] Get: 16 http://deb.debian.org/debian forky/main amd64 readline-common all 8.2-6 [69.4 kB] Get: 17 http://deb.debian.org/debian forky/main amd64 libreadline8t64 amd64 8.2-6 [169 kB] Get: 18 http://deb.debian.org/debian forky/main amd64 libpython3.13-stdlib amd64 3.13.7-1 [1960 kB] Get: 19 http://deb.debian.org/debian forky/main amd64 python3.13 amd64 3.13.7-1 [761 kB] Get: 20 http://deb.debian.org/debian forky/main amd64 libpython3-stdlib amd64 3.13.5-1 [10.2 kB] Get: 21 http://deb.debian.org/debian forky/main amd64 python3 amd64 3.13.5-1 [28.2 kB] Get: 22 http://deb.debian.org/debian forky/main amd64 python3-numpy-dev amd64 1:2.2.4+ds-1 [139 kB] Get: 23 http://deb.debian.org/debian forky/main amd64 libblas3 amd64 3.12.1-6 [160 kB] Get: 24 http://deb.debian.org/debian forky/main amd64 libgfortran5 amd64 15.2.0-1 [862 kB] Get: 25 http://deb.debian.org/debian forky/main amd64 liblapack3 amd64 3.12.1-6 [2447 kB] Get: 26 http://deb.debian.org/debian forky/main amd64 python3-numpy amd64 1:2.2.4+ds-1 [5096 kB] Get: 27 http://deb.debian.org/debian forky/main amd64 openssl amd64 3.5.2-1 [1493 kB] Get: 28 http://deb.debian.org/debian forky/main amd64 ca-certificates all 20250419 [162 kB] Get: 29 http://deb.debian.org/debian forky/main amd64 libmagic-mgc amd64 1:5.46-5 [338 kB] Get: 30 http://deb.debian.org/debian forky/main amd64 libmagic1t64 amd64 1:5.46-5 [109 kB] Get: 31 http://deb.debian.org/debian forky/main amd64 file amd64 1:5.46-5 [43.6 kB] Get: 32 http://deb.debian.org/debian forky/main amd64 gettext-base amd64 0.23.1-2+b1 [244 kB] Get: 33 http://deb.debian.org/debian forky/main amd64 libuchardet0 amd64 0.0.8-1+b2 [68.9 kB] Get: 34 http://deb.debian.org/debian forky/main amd64 groff-base amd64 1.23.0-9 [1187 kB] Get: 35 http://deb.debian.org/debian forky/main amd64 bsdextrautils amd64 2.41.1-1 [94.7 kB] Get: 36 http://deb.debian.org/debian forky/main amd64 libpipeline1 amd64 1.5.8-1 [42.0 kB] Get: 37 http://deb.debian.org/debian forky/main amd64 man-db amd64 2.13.1-1 [1469 kB] Get: 38 http://deb.debian.org/debian forky/main amd64 m4 amd64 1.4.19-8 [294 kB] Get: 39 http://deb.debian.org/debian forky/main amd64 autoconf all 2.72-3.1 [494 kB] Get: 40 http://deb.debian.org/debian forky/main amd64 autotools-dev all 20240727.1 [60.2 kB] Get: 41 http://deb.debian.org/debian forky/main amd64 automake all 1:1.17-4 [862 kB] Get: 42 http://deb.debian.org/debian forky/main amd64 autopoint all 0.23.1-2 [770 kB] Get: 43 http://deb.debian.org/debian forky/main amd64 libtcl8.6 amd64 8.6.17+dfsg-1 [1041 kB] Get: 44 http://deb.debian.org/debian forky/main amd64 libbrotli1 amd64 1.1.0-2+b7 [307 kB] Get: 45 http://deb.debian.org/debian forky/main amd64 libpng16-16t64 amd64 1.6.50-1 [282 kB] Get: 46 http://deb.debian.org/debian forky/main amd64 libfreetype6 amd64 2.13.3+dfsg-1 [452 kB] Get: 47 http://deb.debian.org/debian forky/main amd64 fonts-dejavu-mono all 2.37-8 [489 kB] Get: 48 http://deb.debian.org/debian forky/main amd64 fonts-dejavu-core all 2.37-8 [840 kB] Get: 49 http://deb.debian.org/debian forky/main amd64 fontconfig-config amd64 2.15.0-2.3 [318 kB] Get: 50 http://deb.debian.org/debian forky/main amd64 libfontconfig1 amd64 2.15.0-2.3 [392 kB] Get: 51 http://deb.debian.org/debian forky/main amd64 libxau6 amd64 1:1.0.11-1 [20.4 kB] Get: 52 http://deb.debian.org/debian forky/main amd64 libxdmcp6 amd64 1:1.1.5-1 [27.8 kB] Get: 53 http://deb.debian.org/debian forky/main amd64 libxcb1 amd64 1.17.0-2+b1 [144 kB] Get: 54 http://deb.debian.org/debian forky/main amd64 libx11-data all 2:1.8.12-1 [343 kB] Get: 55 http://deb.debian.org/debian forky/main amd64 libx11-6 amd64 2:1.8.12-1 [815 kB] Get: 56 http://deb.debian.org/debian forky/main amd64 libxrender1 amd64 1:0.9.12-1 [27.9 kB] Get: 57 http://deb.debian.org/debian forky/main amd64 libxft2 amd64 2.3.6-1+b4 [54.5 kB] Get: 58 http://deb.debian.org/debian forky/main amd64 libxext6 amd64 2:1.3.4-1+b3 [50.4 kB] Get: 59 http://deb.debian.org/debian forky/main amd64 x11-common all 1:7.7+24 [217 kB] Get: 60 http://deb.debian.org/debian forky/main amd64 libxss1 amd64 1:1.2.3-1+b3 [17.0 kB] Get: 61 http://deb.debian.org/debian forky/main amd64 libtk8.6 amd64 8.6.17-1 [794 kB] Get: 62 http://deb.debian.org/debian forky/main amd64 tk8.6-blt2.5 amd64 2.5.3+dfsg-8 [591 kB] Get: 63 http://deb.debian.org/debian forky/main amd64 blt amd64 2.5.3+dfsg-8 [5984 B] Get: 64 http://deb.debian.org/debian forky/main amd64 cython3 amd64 3.0.11+dfsg-2+b1 [2504 kB] Get: 65 http://deb.debian.org/debian forky/main amd64 libdebhelper-perl all 13.26 [91.8 kB] Get: 66 http://deb.debian.org/debian forky/main amd64 libtool all 2.5.4-4 [539 kB] Get: 67 http://deb.debian.org/debian forky/main amd64 dh-autoreconf all 20 [17.1 kB] Get: 68 http://deb.debian.org/debian forky/main amd64 libarchive-zip-perl all 1.68-1 [104 kB] Get: 69 http://deb.debian.org/debian forky/main amd64 libfile-stripnondeterminism-perl all 1.14.2-1 [19.8 kB] Get: 70 http://deb.debian.org/debian forky/main amd64 dh-strip-nondeterminism all 1.14.2-1 [8768 B] Get: 71 http://deb.debian.org/debian forky/main amd64 libelf1t64 amd64 0.192-4 [189 kB] Get: 72 http://deb.debian.org/debian forky/main amd64 dwz amd64 0.15-1+b1 [110 kB] Get: 73 http://deb.debian.org/debian forky/main amd64 libunistring5 amd64 1.3-2 [477 kB] Get: 74 http://deb.debian.org/debian forky/main amd64 libxml2-16 amd64 2.14.5+dfsg-0.2 [638 kB] Get: 75 http://deb.debian.org/debian forky/main amd64 gettext amd64 0.23.1-2+b1 [1680 kB] Get: 76 http://deb.debian.org/debian forky/main amd64 intltool-debian all 0.35.0+20060710.6 [22.9 kB] Get: 77 http://deb.debian.org/debian forky/main amd64 po-debconf all 1.0.21+nmu1 [248 kB] Get: 78 http://deb.debian.org/debian forky/main amd64 debhelper all 13.26 [939 kB] Get: 79 http://deb.debian.org/debian forky/main amd64 dh-python all 6.20250414 [116 kB] Get: 80 http://deb.debian.org/debian forky/main amd64 sgml-base all 1.31+nmu1 [10.9 kB] Get: 81 http://deb.debian.org/debian forky/main amd64 xml-core all 0.19 [20.1 kB] Get: 82 http://deb.debian.org/debian forky/main amd64 docutils-common all 0.21.2+dfsg-2 [128 kB] Get: 83 http://deb.debian.org/debian forky/main amd64 fontconfig amd64 2.15.0-2.3 [463 kB] Get: 84 http://deb.debian.org/debian forky/main amd64 fonts-font-awesome all 5.0.10+really4.7.0~dfsg-4.1 [517 kB] Get: 85 http://deb.debian.org/debian forky/main amd64 fonts-glyphicons-halflings all 1.009~3.4.1+dfsg-6 [163 kB] Get: 86 http://deb.debian.org/debian forky/main amd64 fonts-lyx all 2.4.3-1 [190 kB] Get: 87 http://deb.debian.org/debian forky/main amd64 fonts-mathjax all 2.7.9+dfsg-1 [2210 kB] Get: 88 http://deb.debian.org/debian forky/main amd64 fonts-open-sans all 1.11-2 [574 kB] Get: 89 http://deb.debian.org/debian forky/main amd64 libdw1t64 amd64 0.192-4 [255 kB] Get: 90 http://deb.debian.org/debian forky/main amd64 libglib2.0-0t64 amd64 2.84.4-3 [1518 kB] Get: 91 http://deb.debian.org/debian forky/main amd64 libbabeltrace1 amd64 1.5.11-4+b2 [176 kB] Get: 92 http://deb.debian.org/debian forky/main amd64 libidn2-0 amd64 2.3.8-4 [110 kB] Get: 93 http://deb.debian.org/debian forky/main amd64 libp11-kit0 amd64 0.25.5-3 [425 kB] Get: 94 http://deb.debian.org/debian forky/main amd64 libtasn1-6 amd64 4.20.0-2 [49.9 kB] Get: 95 http://deb.debian.org/debian forky/main amd64 libgnutls30t64 amd64 3.8.9-3 [1465 kB] Get: 96 http://deb.debian.org/debian forky/main amd64 libkrb5support0 amd64 1.21.3-5 [33.0 kB] Get: 97 http://deb.debian.org/debian forky/main amd64 libcom-err2 amd64 1.47.2-3+b3 [25.0 kB] Get: 98 http://deb.debian.org/debian forky/main amd64 libk5crypto3 amd64 1.21.3-5 [81.5 kB] Get: 99 http://deb.debian.org/debian forky/main amd64 libkeyutils1 amd64 1.6.3-6 [9456 B] Get: 100 http://deb.debian.org/debian forky/main amd64 libkrb5-3 amd64 1.21.3-5 [326 kB] Get: 101 http://deb.debian.org/debian forky/main amd64 libgssapi-krb5-2 amd64 1.21.3-5 [138 kB] Get: 102 http://deb.debian.org/debian forky/main amd64 libsasl2-modules-db amd64 2.1.28+dfsg1-9 [19.8 kB] Get: 103 http://deb.debian.org/debian forky/main amd64 libsasl2-2 amd64 2.1.28+dfsg1-9 [57.5 kB] Get: 104 http://deb.debian.org/debian forky/main amd64 libldap2 amd64 2.6.10+dfsg-1 [194 kB] Get: 105 http://deb.debian.org/debian forky/main amd64 libnghttp2-14 amd64 1.64.0-1.1+b1 [76.2 kB] Get: 106 http://deb.debian.org/debian forky/main amd64 libnghttp3-9 amd64 1.8.0-1 [67.7 kB] Get: 107 http://deb.debian.org/debian forky/main amd64 libngtcp2-16 amd64 1.11.0-1 [131 kB] Get: 108 http://deb.debian.org/debian forky/main amd64 libngtcp2-crypto-gnutls8 amd64 1.11.0-1 [29.3 kB] Get: 109 http://deb.debian.org/debian forky/main amd64 libpsl5t64 amd64 0.21.2-1.1+b1 [57.2 kB] Get: 110 http://deb.debian.org/debian forky/main amd64 librtmp1 amd64 2.4+20151223.gitfa8646d.1-3 [58.3 kB] Get: 111 http://deb.debian.org/debian forky/main amd64 libssh2-1t64 amd64 1.11.1-1 [245 kB] Get: 112 http://deb.debian.org/debian forky/main amd64 libcurl3t64-gnutls amd64 8.15.0-1 [385 kB] Get: 113 http://deb.debian.org/debian forky/main amd64 libjson-c5 amd64 0.18+ds-1 [46.0 kB] Get: 114 http://deb.debian.org/debian forky/main amd64 libdebuginfod1t64 amd64 0.192-4 [32.4 kB] Get: 115 http://deb.debian.org/debian forky/main amd64 libipt2 amd64 2.1.2-1 [47.8 kB] Get: 116 http://deb.debian.org/debian forky/main amd64 libpython3.13 amd64 3.13.7-1 [2162 kB] Get: 117 http://deb.debian.org/debian forky/main amd64 libsource-highlight-common all 3.1.9-4.3 [77.5 kB] Get: 118 http://deb.debian.org/debian forky/main amd64 libsource-highlight4t64 amd64 3.1.9-4.3+b1 [335 kB] Get: 119 http://deb.debian.org/debian forky/main amd64 gdb amd64 16.3-4 [3958 kB] Get: 120 http://deb.debian.org/debian forky/main amd64 libjodycode3t64 amd64 3.1.2-1 [18.6 kB] Get: 121 http://deb.debian.org/debian forky/main amd64 jdupes amd64 1.28.0-1 [64.2 kB] Get: 122 http://deb.debian.org/debian forky/main amd64 libsuitesparseconfig7 amd64 1:7.11.0+dfsg-1 [33.0 kB] Get: 123 http://deb.debian.org/debian forky/main amd64 libamd3 amd64 1:7.11.0+dfsg-1 [49.9 kB] Get: 124 http://deb.debian.org/debian forky/main amd64 libargon2-1 amd64 0~20190702+dfsg-5 [21.2 kB] Get: 125 http://deb.debian.org/debian forky/main amd64 libpixman-1-0 amd64 0.44.0-3 [248 kB] Get: 126 http://deb.debian.org/debian forky/main amd64 libxcb-render0 amd64 1.17.0-2+b1 [115 kB] Get: 127 http://deb.debian.org/debian forky/main amd64 libxcb-shm0 amd64 1.17.0-2+b1 [105 kB] Get: 128 http://deb.debian.org/debian forky/main amd64 libcairo2 amd64 1.18.4-1+b1 [538 kB] Get: 129 http://deb.debian.org/debian forky/main amd64 libcamd3 amd64 1:7.11.0+dfsg-1 [46.7 kB] Get: 130 http://deb.debian.org/debian forky/main amd64 libccolamd3 amd64 1:7.11.0+dfsg-1 [48.6 kB] Get: 131 http://deb.debian.org/debian forky/main amd64 libcolamd3 amd64 1:7.11.0+dfsg-1 [41.8 kB] Get: 132 http://deb.debian.org/debian forky/main amd64 libcholmod5 amd64 1:7.11.0+dfsg-1 [647 kB] Get: 133 http://deb.debian.org/debian forky/main amd64 libcurl4t64 amd64 8.15.0-1 [392 kB] Get: 134 http://deb.debian.org/debian forky/main amd64 libdatrie1 amd64 0.2.13-4 [38.0 kB] Get: 135 http://deb.debian.org/debian forky/main amd64 libdeflate0 amd64 1.23-2 [47.3 kB] Get: 136 http://deb.debian.org/debian forky/main amd64 libdsdp-5.8t64 amd64 5.8-10.1 [181 kB] Get: 137 http://deb.debian.org/debian forky/main amd64 libexpat1-dev amd64 2.7.1-2 [161 kB] Get: 138 http://deb.debian.org/debian forky/main amd64 libfftw3-double3 amd64 3.3.10-2+b1 [781 kB] Get: 139 http://deb.debian.org/debian forky/main amd64 libfribidi0 amd64 1.0.16-1 [26.5 kB] Get: 140 http://deb.debian.org/debian forky/main amd64 libgpg-error0 amd64 1.55-2 [88.1 kB] Get: 141 http://deb.debian.org/debian forky/main amd64 libgcrypt20 amd64 1.11.2-2 [865 kB] Get: 142 http://deb.debian.org/debian forky/main amd64 libltdl7 amd64 2.5.4-4 [416 kB] Get: 143 http://deb.debian.org/debian forky/main amd64 libglpk40 amd64 5.0-2 [398 kB] Get: 144 http://deb.debian.org/debian forky/main amd64 libgraphite2-3 amd64 1.3.14-3 [75.1 kB] Get: 145 http://deb.debian.org/debian forky/main amd64 libgslcblas0 amd64 2.8+dfsg-5 [116 kB] Get: 146 http://deb.debian.org/debian forky/main amd64 libgsl28 amd64 2.8+dfsg-5 [994 kB] Get: 147 http://deb.debian.org/debian forky/main amd64 libharfbuzz0b amd64 10.2.0-1+b1 [479 kB] Get: 148 http://deb.debian.org/debian forky/main amd64 libice6 amd64 2:1.1.1-1 [65.4 kB] Get: 149 http://deb.debian.org/debian forky/main amd64 libicu76 amd64 76.1-4 [9722 kB] Get: 150 http://deb.debian.org/debian forky/main amd64 libimagequant0 amd64 4.4.0-3 [251 kB] Get: 151 http://deb.debian.org/debian forky/main amd64 libjbig0 amd64 2.1-6.1+b2 [32.1 kB] Get: 152 http://deb.debian.org/debian forky/main amd64 libjpeg62-turbo amd64 1:2.1.5-4 [168 kB] Get: 153 http://deb.debian.org/debian forky/main amd64 libjs-underscore all 1.13.4~dfsg+~1.11.4-3 [116 kB] Get: 154 http://deb.debian.org/debian forky/main amd64 libjs-backbone all 1.4.1~dfsg+~1.4.15-3 [186 kB] Get: 155 http://deb.debian.org/debian forky/main amd64 libjs-bootstrap all 3.4.1+dfsg-6 [173 kB] Get: 156 http://deb.debian.org/debian forky/main amd64 libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [326 kB] Get: 157 http://deb.debian.org/debian forky/main amd64 libjs-bootstrap-tour all 0.12.0+dfsg-5 [20.9 kB] Get: 158 http://deb.debian.org/debian forky/main amd64 libjs-codemirror all 5.65.20+~cs5.83.25-1 [733 kB] Get: 159 http://deb.debian.org/debian forky/main amd64 libjs-es6-promise all 4.2.8-12 [15.9 kB] Get: 160 http://deb.debian.org/debian forky/main amd64 node-jed all 1.1.1-4 [14.7 kB] Get: 161 http://deb.debian.org/debian forky/main amd64 libjs-jed all 1.1.1-4 [3772 B] Get: 162 http://deb.debian.org/debian forky/main amd64 libjs-jquery-typeahead all 2.11.0+dfsg1-3 [47.7 kB] Get: 163 http://deb.debian.org/debian forky/main amd64 libjs-jquery-ui all 1.13.2+dfsg-1 [250 kB] Get: 164 http://deb.debian.org/debian forky/main amd64 libjs-marked all 4.2.3+ds+~4.0.7-4 [34.7 kB] Get: 165 http://deb.debian.org/debian forky/main amd64 libjs-mathjax all 2.7.9+dfsg-1 [5667 kB] Get: 166 http://deb.debian.org/debian forky/main amd64 libjs-moment all 2.29.4+ds-1 [155 kB] Get: 167 http://deb.debian.org/debian forky/main amd64 libjs-requirejs all 2.3.7+ds+~2.1.37-1 [196 kB] Get: 168 http://deb.debian.org/debian forky/main amd64 libjs-requirejs-text all 2.0.12-1.1 [9016 B] Get: 169 http://deb.debian.org/debian forky/main amd64 libjs-sphinxdoc all 8.2.3-2 [27.3 kB] Get: 170 http://deb.debian.org/debian forky/main amd64 libjs-text-encoding all 0.7.0-5 [104 kB] Get: 171 http://deb.debian.org/debian forky/main amd64 libjs-xterm all 5.3.0-4 [456 kB] Get: 172 http://deb.debian.org/debian forky/main amd64 libjson-perl all 4.10000-1 [87.5 kB] Get: 173 http://deb.debian.org/debian forky/main amd64 liblcms2-2 amd64 2.16-2 [160 kB] Get: 174 http://deb.debian.org/debian forky/main amd64 liblerc4 amd64 4.0.0+ds-5 [183 kB] Get: 175 http://deb.debian.org/debian forky/main amd64 liblua5.4-0 amd64 5.4.8-1 [146 kB] Get: 176 http://deb.debian.org/debian forky/main amd64 libnlopt0 amd64 2.7.1-6+b4 [178 kB] Get: 177 http://deb.debian.org/debian forky/main amd64 libnorm1t64 amd64 1.5.9+dfsg-3.1+b2 [221 kB] Get: 178 http://deb.debian.org/debian forky/main amd64 libnuma1 amd64 2.0.19-1 [22.2 kB] Get: 179 http://deb.debian.org/debian forky/main amd64 libopenjp2-7 amd64 2.5.3-2.1 [204 kB] Get: 180 http://deb.debian.org/debian forky/main amd64 libthai-data all 0.1.29-2 [168 kB] Get: 181 http://deb.debian.org/debian forky/main amd64 libthai0 amd64 0.1.29-2+b1 [49.4 kB] Get: 182 http://deb.debian.org/debian forky/main amd64 libpango-1.0-0 amd64 1.56.3-1 [226 kB] Get: 183 http://deb.debian.org/debian forky/main amd64 libpangoft2-1.0-0 amd64 1.56.3-1 [55.6 kB] Get: 184 http://deb.debian.org/debian forky/main amd64 libpangocairo-1.0-0 amd64 1.56.3-1 [35.7 kB] Get: 185 http://deb.debian.org/debian forky/main amd64 libpaper2 amd64 2.2.5-0.3+b2 [16.7 kB] Get: 186 http://deb.debian.org/debian forky/main amd64 libpaper-utils amd64 2.2.5-0.3+b2 [16.5 kB] Get: 187 http://deb.debian.org/debian forky/main amd64 libpgm-5.3-0t64 amd64 5.3.128~dfsg-2.1+b1 [162 kB] Get: 188 http://deb.debian.org/debian forky/main amd64 zlib1g-dev amd64 1:1.3.dfsg+really1.3.1-1+b1 [920 kB] Get: 189 http://deb.debian.org/debian forky/main amd64 libpython3.13-dev amd64 3.13.7-1 [5279 kB] Get: 190 http://deb.debian.org/debian forky/main amd64 libpython3-dev amd64 3.13.5-1 [10.4 kB] Get: 191 http://deb.debian.org/debian forky/main amd64 libpython3-all-dev amd64 3.13.5-1 [1068 B] Get: 192 http://deb.debian.org/debian forky/main amd64 libqhull-r8.0 amd64 2020.2-6+b2 [248 kB] Get: 193 http://deb.debian.org/debian forky/main amd64 libraqm0 amd64 0.10.3-1 [14.0 kB] Get: 194 http://deb.debian.org/debian forky/main amd64 libsharpyuv0 amd64 1.5.0-0.1 [116 kB] Get: 195 http://deb.debian.org/debian forky/main amd64 libsm6 amd64 2:1.2.6-1 [37.3 kB] Get: 196 http://deb.debian.org/debian forky/main amd64 libsodium23 amd64 1.0.18-1+b2 [165 kB] Get: 197 http://deb.debian.org/debian forky/main amd64 libwebp7 amd64 1.5.0-0.1 [318 kB] Get: 198 http://deb.debian.org/debian forky/main amd64 libtiff6 amd64 4.7.0-4 [346 kB] Get: 199 http://deb.debian.org/debian forky/main amd64 libtirpc-common all 1.3.6+ds-1 [11.0 kB] Get: 200 http://deb.debian.org/debian forky/main amd64 libtirpc3t64 amd64 1.3.6+ds-1 [83.3 kB] Get: 201 http://deb.debian.org/debian forky/main amd64 libumfpack6 amd64 1:7.11.0+dfsg-1 [289 kB] Get: 202 http://deb.debian.org/debian forky/main amd64 libwebpdemux2 amd64 1.5.0-0.1 [113 kB] Get: 203 http://deb.debian.org/debian forky/main amd64 libwebpmux3 amd64 1.5.0-0.1 [126 kB] Get: 204 http://deb.debian.org/debian forky/main amd64 libxslt1.1 amd64 1.1.43-0.2 [155 kB] Get: 205 http://deb.debian.org/debian forky/main amd64 libxt6t64 amd64 1:1.2.1-1.2+b2 [188 kB] Get: 206 http://deb.debian.org/debian forky/main amd64 libyaml-0-2 amd64 0.2.5-2 [52.5 kB] Get: 207 http://deb.debian.org/debian forky/main amd64 libzmq5 amd64 4.3.5-1+b3 [283 kB] Get: 208 http://deb.debian.org/debian forky/main amd64 libzopfli1 amd64 1.0.3-3 [106 kB] Get: 209 http://deb.debian.org/debian forky/main amd64 zip amd64 3.0-15 [235 kB] Get: 210 http://deb.debian.org/debian forky/main amd64 unzip amd64 6.0-29 [173 kB] Get: 211 http://deb.debian.org/debian forky/main amd64 xdg-utils all 1.2.1-2 [75.8 kB] Get: 212 http://deb.debian.org/debian forky/main amd64 r-base-core amd64 4.5.1-1 [28.7 MB] Get: 213 http://deb.debian.org/debian forky/main amd64 r-cran-littler amd64 0.3.21-1 [107 kB] Get: 214 http://deb.debian.org/debian forky/main amd64 littler all 0.3.21-1 [16.9 kB] Get: 215 http://deb.debian.org/debian forky/main amd64 pandoc-data all 3.1.11.1-3 [459 kB] Get: 216 http://deb.debian.org/debian forky/main amd64 pandoc amd64 3.1.11.1+ds-3 [26.4 MB] Get: 217 http://deb.debian.org/debian forky/main amd64 python3-packaging all 25.0-1 [56.6 kB] Get: 218 http://deb.debian.org/debian forky/main amd64 python3-pyproject-hooks all 1.2.0-1 [11.7 kB] Get: 219 http://deb.debian.org/debian forky/main amd64 python3-wheel all 0.46.1-2 [21.7 kB] Get: 220 http://deb.debian.org/debian forky/main amd64 python3-build all 1.2.2-4 [36.2 kB] Get: 221 http://deb.debian.org/debian forky/main amd64 python3-installer all 0.7.0+dfsg1-3 [18.6 kB] Get: 222 http://deb.debian.org/debian forky/main amd64 pybuild-plugin-pyproject all 6.20250414 [11.8 kB] Get: 223 http://deb.debian.org/debian forky/main amd64 python-babel-localedata all 2.17.0-1 [6050 kB] Get: 224 http://deb.debian.org/debian forky/main amd64 python-matplotlib-data all 3.10.1+dfsg1-4 [2737 kB] Get: 225 http://deb.debian.org/debian forky/main amd64 python-matplotlib-doc all 3.10.1+dfsg1-4 [170 MB] Get: 226 http://deb.debian.org/debian forky/main amd64 python-numpy-doc all 1:2.2.4+ds-1 [5814 kB] Get: 227 http://deb.debian.org/debian forky/main amd64 python-pandas-doc all 2.2.3+dfsg-9 [10.8 MB] Get: 228 http://deb.debian.org/debian forky/main amd64 python-scipy-doc all 1.15.3-1 [24.6 MB] Get: 229 http://deb.debian.org/debian forky/main amd64 python-tinycss2-common all 1.4.0-2 [44.7 kB] Get: 230 http://deb.debian.org/debian forky/main amd64 python3-alabaster all 0.7.16-0.1 [27.9 kB] Get: 231 http://deb.debian.org/debian forky/main amd64 python3-all amd64 3.13.5-1 [1048 B] Get: 232 http://deb.debian.org/debian forky/main amd64 python3.13-dev amd64 3.13.7-1 [504 kB] Get: 233 http://deb.debian.org/debian forky/main amd64 python3-dev amd64 3.13.5-1 [26.1 kB] Get: 234 http://deb.debian.org/debian forky/main amd64 python3-all-dev amd64 3.13.5-1 [1068 B] Get: 235 http://deb.debian.org/debian forky/main amd64 python3-cffi-backend amd64 2.0.0~b1-1 [94.4 kB] Get: 236 http://deb.debian.org/debian forky/main amd64 python3-ply all 3.11-9 [62.9 kB] Get: 237 http://deb.debian.org/debian forky/main amd64 python3-pycparser all 2.22-2 [78.0 kB] Get: 238 http://deb.debian.org/debian forky/main amd64 python3-cffi all 2.0.0~b1-1 [90.3 kB] Get: 239 http://deb.debian.org/debian forky/main amd64 python3-argon2-cffi-bindings amd64 25.1.0-2 [15.2 kB] Get: 240 http://deb.debian.org/debian forky/main amd64 python3-argon2 amd64 25.1.0-2 [18.2 kB] Get: 241 http://deb.debian.org/debian forky/main amd64 python3-asttokens all 3.0.0-2 [20.2 kB] Get: 242 http://deb.debian.org/debian forky/main amd64 python3-attr all 25.3.0-1 [69.5 kB] Get: 243 http://deb.debian.org/debian forky/main amd64 python3-autocommand all 2.2.2-3 [13.6 kB] Get: 244 http://deb.debian.org/debian forky/main amd64 python3-babel all 2.17.0-1 [117 kB] Get: 245 http://deb.debian.org/debian forky/main amd64 python3-webencodings all 0.5.1-5 [11.1 kB] Get: 246 http://deb.debian.org/debian forky/main amd64 python3-html5lib all 1.2-2 [92.1 kB] Get: 247 http://deb.debian.org/debian forky/main amd64 python3-bleach all 6.2.0-1 [51.2 kB] Get: 248 http://deb.debian.org/debian forky/main amd64 python3-brotli amd64 1.1.0-2+b7 [320 kB] Get: 249 http://deb.debian.org/debian forky/main amd64 python3-soupsieve all 2.7-2 [39.0 kB] Get: 250 http://deb.debian.org/debian forky/main amd64 python3-typing-extensions all 4.14.1-1 [91.3 kB] Get: 251 http://deb.debian.org/debian forky/main amd64 python3-bs4 all 4.13.4-4 [167 kB] Get: 252 http://deb.debian.org/debian forky/main amd64 python3-certifi all 2025.1.31+ds-1 [9652 B] Get: 253 http://deb.debian.org/debian forky/main amd64 python3-chardet all 5.2.0+dfsg-2 [108 kB] Get: 254 http://deb.debian.org/debian forky/main amd64 python3-charset-normalizer amd64 3.4.3-1 [131 kB] Get: 255 http://deb.debian.org/debian forky/main amd64 python3-colorama all 0.4.6-4 [36.2 kB] Get: 256 http://deb.debian.org/debian forky/main amd64 python3-traitlets all 5.14.3+really5.14.3-1 [70.9 kB] Get: 257 http://deb.debian.org/debian forky/main amd64 python3-comm all 0.2.1-1 [8104 B] Get: 258 http://deb.debian.org/debian forky/main amd64 python3-contourpy amd64 1.3.1-2 [215 kB] Get: 259 http://deb.debian.org/debian forky/main amd64 python3-coverage amd64 7.8.2+dfsg1-1 [182 kB] Get: 260 http://deb.debian.org/debian forky/main amd64 python3-cvxopt amd64 1.3.0+dfsg-1+b9 [265 kB] Get: 261 http://deb.debian.org/debian forky/main amd64 python3-cycler all 0.12.1-2 [9616 B] Get: 262 http://deb.debian.org/debian forky/main amd64 python3-dateutil all 2.9.0-4 [79.4 kB] Get: 263 http://deb.debian.org/debian forky/main amd64 python3-debugpy amd64 1.8.12+ds-1 [751 kB] Get: 264 http://deb.debian.org/debian forky/main amd64 python3-decorator all 5.2.1-2 [33.0 kB] Get: 265 http://deb.debian.org/debian forky/main amd64 python3-defusedxml all 0.7.1-3 [43.4 kB] Get: 266 http://deb.debian.org/debian forky/main amd64 python3.13-doc all 3.13.7-1 [15.5 MB] Get: 267 http://deb.debian.org/debian forky/main amd64 python3-doc all 3.13.5-1 [10.4 kB] Get: 268 http://deb.debian.org/debian forky/main amd64 python3-roman all 5.1-1 [11.0 kB] Get: 269 http://deb.debian.org/debian forky/main amd64 python3-docutils all 0.21.2+dfsg-2 [403 kB] Get: 270 http://deb.debian.org/debian forky/main amd64 python3-executing all 2.2.0-0.3 [24.6 kB] Get: 271 http://deb.debian.org/debian forky/main amd64 python3-fastjsonschema all 2.21.1-1 [22.4 kB] Get: 272 http://deb.debian.org/debian forky/main amd64 python3-platformdirs all 4.3.7-1 [16.6 kB] Get: 273 http://deb.debian.org/debian forky/main amd64 python3-fs all 2.4.16-7 [95.2 kB] Get: 274 http://deb.debian.org/debian forky/main amd64 python3-lxml amd64 5.4.0-1+b1 [1297 kB] Get: 275 http://deb.debian.org/debian forky/main amd64 python3-lz4 amd64 4.4.4+dfsg-1 [25.4 kB] Get: 276 http://deb.debian.org/debian forky/main amd64 python3-scipy amd64 1.15.3-1 [16.3 MB] Get: 277 http://deb.debian.org/debian forky/main amd64 python3-mpmath all 1.3.0-1 [419 kB] Get: 278 http://deb.debian.org/debian forky/main amd64 python3-sympy all 1.14.0-2 [4228 kB] Get: 279 http://deb.debian.org/debian forky/main amd64 python3-ufolib2 all 0.17.1+dfsg1-1 [33.0 kB] Get: 280 http://deb.debian.org/debian forky/main amd64 python3-zopfli amd64 0.2.3.post1-1+b1 [10.5 kB] Get: 281 http://deb.debian.org/debian forky/main amd64 unicode-data all 15.1.0-1 [8547 kB] Get: 282 http://deb.debian.org/debian forky/main amd64 python3-fonttools amd64 4.57.0-1 [1438 kB] Get: 283 http://deb.debian.org/debian forky/main amd64 python3-idna all 3.10-1 [42.0 kB] Get: 284 http://deb.debian.org/debian forky/main amd64 python3-imagesize all 1.4.1-1 [6688 B] Get: 285 http://deb.debian.org/debian forky/main amd64 python3-more-itertools all 10.7.0-1 [67.4 kB] Get: 286 http://deb.debian.org/debian forky/main amd64 python3-typeguard all 4.4.4-1 [37.1 kB] Get: 287 http://deb.debian.org/debian forky/main amd64 python3-inflect all 7.3.1-2 [32.4 kB] Get: 288 http://deb.debian.org/debian forky/main amd64 python3-iniconfig all 1.1.1-2 [6396 B] Get: 289 http://deb.debian.org/debian forky/main amd64 python3-parso all 0.8.4-1 [67.8 kB] Get: 290 http://deb.debian.org/debian forky/main amd64 python3-typeshed all 0.0~git20241223.ea91db2-3 [1531 kB] Get: 291 http://deb.debian.org/debian forky/main amd64 python3-jedi all 0.19.1+ds1-1 [691 kB] Get: 292 http://deb.debian.org/debian forky/main amd64 python3-matplotlib-inline all 0.1.7-1 [9032 B] Get: 293 http://deb.debian.org/debian forky/main amd64 python3-wcwidth all 0.2.13+dfsg1-1 [24.9 kB] Get: 294 http://deb.debian.org/debian forky/main amd64 python3-prompt-toolkit all 3.0.51-4 [278 kB] Get: 295 http://deb.debian.org/debian forky/main amd64 python3-pygments all 2.18.0+dfsg-2 [836 kB] Get: 296 http://deb.debian.org/debian forky/main amd64 python3-pure-eval all 0.2.3-1 [11.2 kB] Get: 297 http://deb.debian.org/debian forky/main amd64 python3-stack-data all 0.6.3-1 [21.6 kB] Get: 298 http://deb.debian.org/debian forky/main amd64 python3-ptyprocess all 0.7.0-6 [14.5 kB] Get: 299 http://deb.debian.org/debian forky/main amd64 python3-pexpect all 4.9-3 [55.6 kB] Get: 300 http://deb.debian.org/debian forky/main amd64 python3-jaraco.context all 6.0.1-1 [8276 B] Get: 301 http://deb.debian.org/debian forky/main amd64 python3-jaraco.functools all 4.1.0-1 [12.0 kB] Get: 302 http://deb.debian.org/debian forky/main amd64 python3-pkg-resources all 78.1.1-0.1 [224 kB] Get: 303 http://deb.debian.org/debian forky/main amd64 python3-jaraco.text all 4.0.0-1 [11.4 kB] Get: 304 http://deb.debian.org/debian forky/main amd64 python3-zipp all 3.21.0-1 [10.6 kB] Get: 305 http://deb.debian.org/debian forky/main amd64 python3-setuptools all 78.1.1-0.1 [738 kB] Get: 306 http://deb.debian.org/debian forky/main amd64 python3-ipython all 8.35.0-1 [576 kB] Get: 307 http://deb.debian.org/debian forky/main amd64 python3-jupyter-core all 5.7.2-5 [35.3 kB] Get: 308 http://deb.debian.org/debian forky/main amd64 python3-psutil amd64 7.0.0-2 [220 kB] Get: 309 http://deb.debian.org/debian forky/main amd64 python3-tornado amd64 6.4.2-3 [349 kB] Get: 310 http://deb.debian.org/debian forky/main amd64 python3-zmq amd64 26.4.0-1 [178 kB] Get: 311 http://deb.debian.org/debian forky/main amd64 python3-jupyter-client all 8.6.3-2 [92.4 kB] Get: 312 http://deb.debian.org/debian forky/main amd64 python3-nest-asyncio all 1.5.4-1 [6248 B] Get: 313 http://deb.debian.org/debian forky/main amd64 python3-ipykernel all 6.30.1-1 [104 kB] Get: 314 http://deb.debian.org/debian forky/main amd64 python3-ipython-genutils all 0.2.0-7 [21.6 kB] Get: 315 http://deb.debian.org/debian forky/main amd64 python3-markupsafe amd64 2.1.5-1+b3 [14.0 kB] Get: 316 http://deb.debian.org/debian forky/main amd64 python3-jinja2 all 3.1.6-1 [107 kB] Get: 317 http://deb.debian.org/debian forky/main amd64 python3-joblib all 1.4.2-5 [216 kB] Get: 318 http://deb.debian.org/debian forky/main amd64 python3-rpds-py amd64 0.21.0-2+b1 [257 kB] Get: 319 http://deb.debian.org/debian forky/main amd64 python3-referencing all 0.36.2-1 [23.7 kB] Get: 320 http://deb.debian.org/debian forky/main amd64 python3-jsonschema-specifications all 2023.12.1-2 [9020 B] Get: 321 http://deb.debian.org/debian forky/main amd64 python3-jsonschema all 4.19.2-6 [71.4 kB] Get: 322 http://deb.debian.org/debian forky/main amd64 python3-jupyterlab-pygments all 0.2.2-3 [6096 B] Get: 323 http://deb.debian.org/debian forky/main amd64 python3-kiwisolver amd64 1.4.7-3+b1 [62.0 kB] Get: 324 http://deb.debian.org/debian forky/main amd64 python3-pil amd64 11.1.0-5+b1 [513 kB] Get: 325 http://deb.debian.org/debian forky/main amd64 python3.13-tk amd64 3.13.7-1 [108 kB] Get: 326 http://deb.debian.org/debian forky/main amd64 python3-tk amd64 3.13.5-1 [9604 B] Get: 327 http://deb.debian.org/debian forky/main amd64 python3-pil.imagetk amd64 11.1.0-5+b1 [81.6 kB] Get: 328 http://deb.debian.org/debian forky/main amd64 python3-pyparsing all 3.1.2-1 [146 kB] Get: 329 http://deb.debian.org/debian forky/main amd64 python3-matplotlib amd64 3.10.1+dfsg1-4 [23.8 MB] Get: 330 http://deb.debian.org/debian forky/main amd64 python3-mistune all 3.1.3-1 [35.5 kB] Get: 331 http://deb.debian.org/debian forky/main amd64 python3-nbformat all 5.9.1-1 [45.1 kB] Get: 332 http://deb.debian.org/debian forky/main amd64 python3-nbclient all 0.8.0-3 [62.3 kB] Get: 333 http://deb.debian.org/debian forky/main amd64 python3-tinycss2 all 1.4.0-2 [25.0 kB] Get: 334 http://deb.debian.org/debian forky/main amd64 python3-pandocfilters all 1.5.1-1 [23.7 kB] Get: 335 http://deb.debian.org/debian forky/main amd64 python3-nbconvert all 7.16.6-1 [160 kB] Get: 336 http://deb.debian.org/debian forky/main amd64 sphinx-common all 8.2.3-2 [618 kB] Get: 337 http://deb.debian.org/debian forky/main amd64 python3-urllib3 all 2.5.0-1 [116 kB] Get: 338 http://deb.debian.org/debian forky/main amd64 python3-requests all 2.32.4+dfsg-1 [72.4 kB] Get: 339 http://deb.debian.org/debian forky/main amd64 python3-roman-numerals all 3.1.0-2 [8740 B] Get: 340 http://deb.debian.org/debian forky/main amd64 python3-snowballstemmer all 3.0.1-1 [63.5 kB] Get: 341 http://deb.debian.org/debian forky/main amd64 python3-sphinx all 8.2.3-2 [477 kB] Get: 342 http://deb.debian.org/debian forky/main amd64 python3-nbsphinx all 0.9.5+ds-1 [39.9 kB] Get: 343 http://deb.debian.org/debian forky/main amd64 python3-terminado all 0.18.1-1 [17.3 kB] Get: 344 http://deb.debian.org/debian forky/main amd64 python3-prometheus-client all 0.21.1+ds1-1 [44.9 kB] Get: 345 http://deb.debian.org/debian forky/main amd64 python3-send2trash all 1.8.3-1 [15.8 kB] Get: 346 http://deb.debian.org/debian forky/main amd64 python3-notebook all 6.4.13-5 [1537 kB] Get: 347 http://deb.debian.org/debian forky/main amd64 python3-numpydoc all 1.9.0-1 [52.3 kB] Get: 348 http://deb.debian.org/debian forky/main amd64 python3-pytz all 2025.2-3 [152 kB] Get: 349 http://deb.debian.org/debian forky/main amd64 python3-pandas-lib amd64 2.2.3+dfsg-9 [4595 kB] Get: 350 http://deb.debian.org/debian forky/main amd64 python3-pandas all 2.2.3+dfsg-9 [3097 kB] Get: 351 http://deb.debian.org/debian forky/main amd64 python3-patsy all 1.0.1-1 [172 kB] Get: 352 http://deb.debian.org/debian forky/main amd64 python3-pickleshare all 0.7.5-5 [7600 B] Get: 353 http://deb.debian.org/debian forky/main amd64 python3-pluggy all 1.6.0-1 [27.1 kB] Get: 354 http://deb.debian.org/debian forky/main amd64 python3-py all 1.11.0-5 [88.9 kB] Get: 355 http://deb.debian.org/debian forky/main amd64 python3-pytest all 8.3.5-2 [250 kB] Get: 356 http://deb.debian.org/debian forky/main amd64 python3-pytest-forked all 1.6.0-3 [7896 B] Get: 357 http://deb.debian.org/debian forky/main amd64 python3-tzlocal all 5.3.1-1 [24.2 kB] Get: 358 http://deb.debian.org/debian forky/main amd64 python3-rpy2 amd64 3.5.17-2 [213 kB] Get: 359 http://deb.debian.org/debian forky/main amd64 python3-seaborn all 0.13.2-5 [215 kB] Get: 360 http://deb.debian.org/debian forky/main amd64 python3-setuptools-scm all 8.2.1-2 [41.3 kB] Get: 361 http://deb.debian.org/debian forky/main amd64 python3-simplegeneric all 0.8.1-5 [10.9 kB] Get: 362 http://deb.debian.org/debian forky/main amd64 python3-yaml amd64 6.0.2-2 [137 kB] Get: 363 http://deb.debian.org/debian forky/main amd64 python3-yapf all 0.43.0-1 [178 kB] Get: 364 http://deb.debian.org/debian forky/main amd64 r-cran-backports amd64 1.5.0-2 [121 kB] Get: 365 http://deb.debian.org/debian forky/main amd64 r-cran-boot all 1.3-31-1 [639 kB] Get: 366 http://deb.debian.org/debian forky/main amd64 r-cran-cli amd64 3.6.4-1 [1370 kB] Get: 367 http://deb.debian.org/debian forky/main amd64 r-cran-generics all 0.1.3-1 [81.4 kB] Get: 368 http://deb.debian.org/debian forky/main amd64 r-cran-glue amd64 1.8.0-1 [165 kB] Get: 369 http://deb.debian.org/debian forky/main amd64 r-cran-rlang amd64 1.1.5-3 [1709 kB] Get: 370 http://deb.debian.org/debian forky/main amd64 r-cran-lifecycle all 1.0.4+dfsg-1 [110 kB] Get: 371 http://deb.debian.org/debian forky/main amd64 r-cran-magrittr amd64 2.0.3-1 [201 kB] Get: 372 http://deb.debian.org/debian forky/main amd64 r-cran-utf8 amd64 1.2.4-1 [133 kB] Get: 373 http://deb.debian.org/debian forky/main amd64 r-cran-vctrs amd64 0.6.5-1 [1375 kB] Get: 374 http://deb.debian.org/debian forky/main amd64 r-cran-pillar all 1.10.1+dfsg-1 [453 kB] Get: 375 http://deb.debian.org/debian forky/main amd64 r-cran-r6 all 2.6.1-1 [106 kB] Get: 376 http://deb.debian.org/debian forky/main amd64 r-cran-fansi amd64 1.0.6-2 [629 kB] Get: 377 http://deb.debian.org/debian forky/main amd64 r-cran-pkgconfig all 2.0.3-2 [19.6 kB] Get: 378 http://deb.debian.org/debian forky/main amd64 r-cran-tibble amd64 3.2.1+dfsg-3 [425 kB] Get: 379 http://deb.debian.org/debian forky/main amd64 r-cran-withr all 3.0.2+dfsg-1 [226 kB] Get: 380 http://deb.debian.org/debian forky/main amd64 r-cran-tidyselect amd64 1.2.1+dfsg-1 [223 kB] Get: 381 http://deb.debian.org/debian forky/main amd64 r-cran-dplyr amd64 1.1.4-4 [1543 kB] Get: 382 http://deb.debian.org/debian forky/main amd64 r-cran-purrr amd64 1.0.4-1 [556 kB] Get: 383 http://deb.debian.org/debian forky/main amd64 r-cran-stringi amd64 1.8.4-1+b1 [896 kB] Get: 384 http://deb.debian.org/debian forky/main amd64 r-cran-stringr all 1.5.1-1 [296 kB] Get: 385 http://deb.debian.org/debian forky/main amd64 r-cran-cpp11 all 0.5.2-1 [226 kB] Get: 386 http://deb.debian.org/debian forky/main amd64 r-cran-tidyr amd64 1.3.1-1 [1163 kB] Get: 387 http://deb.debian.org/debian forky/main amd64 r-cran-broom all 1.0.7+dfsg-1 [1846 kB] Get: 388 http://deb.debian.org/debian forky/main amd64 r-cran-cardata all 3.0.5-1 [1797 kB] Get: 389 http://deb.debian.org/debian forky/main amd64 r-cran-colorspace amd64 2.1-1+dfsg-1 [1716 kB] Get: 390 http://deb.debian.org/debian forky/main amd64 r-cran-deoptimr all 1.1-4-1 [76.8 kB] Get: 391 http://deb.debian.org/debian forky/main amd64 r-cran-mass amd64 7.3-65-1 [1113 kB] Get: 392 http://deb.debian.org/debian forky/main amd64 r-cran-geepack amd64 1.3.12-1 [387 kB] Get: 393 http://deb.debian.org/debian forky/main amd64 r-cran-lattice amd64 0.22-7-1 [1418 kB] Get: 394 http://deb.debian.org/debian forky/main amd64 r-cran-sp amd64 1:2.2-0+dfsg-1 [1445 kB] Get: 395 http://deb.debian.org/debian forky/main amd64 r-cran-guerry all 1.8.3-1 [1289 kB] Get: 396 http://deb.debian.org/debian forky/main amd64 r-cran-matrix amd64 1.7-3-1 [4048 kB] Get: 397 http://deb.debian.org/debian forky/main amd64 r-cran-nlme amd64 3.1.168-1 [2329 kB] Get: 398 http://deb.debian.org/debian forky/main amd64 r-cran-pkgkitten all 0.2.4-1 [29.1 kB] Get: 399 http://deb.debian.org/debian forky/main amd64 r-cran-rcpp amd64 1.1.0-1 [2114 kB] Get: 400 http://deb.debian.org/debian forky/main amd64 r-cran-minqa amd64 1.2.8-1 [118 kB] Get: 401 http://deb.debian.org/debian forky/main amd64 r-cran-nloptr amd64 2.2.1-2 [254 kB] Get: 402 http://deb.debian.org/debian forky/main amd64 r-cran-rbibutils amd64 2.3-1 [948 kB] Get: 403 http://deb.debian.org/debian forky/main amd64 r-cran-rdpack all 2.6.3-1 [638 kB] Get: 404 http://deb.debian.org/debian forky/main amd64 r-cran-reformulas all 0.4.1-1 [127 kB] Get: 405 http://deb.debian.org/debian forky/main amd64 r-cran-rcppeigen amd64 0.3.4.0.2-1 [1411 kB] Get: 406 http://deb.debian.org/debian forky/main amd64 r-cran-statmod amd64 1.5.0-1 [295 kB] Get: 407 http://deb.debian.org/debian forky/main amd64 r-cran-lme4 amd64 1.1-37-1 [4123 kB] Get: 408 http://deb.debian.org/debian forky/main amd64 r-cran-zoo amd64 1.8-14-1 [1001 kB] Get: 409 http://deb.debian.org/debian forky/main amd64 r-cran-lmtest amd64 0.9.40-1 [399 kB] Get: 410 http://deb.debian.org/debian forky/main amd64 r-cran-robustbase amd64 0.99-4-1-1 [3050 kB] Get: 411 http://deb.debian.org/debian forky/main amd64 r-cran-vcd all 1:1.4-13-1 [1287 kB] Fetched 511 MB in 32s (16.1 MB/s) Preconfiguring packages ... Selecting previously unselected package libtext-charwidth-perl:amd64. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 19897 files and directories currently installed.) Preparing to unpack .../0-libtext-charwidth-perl_0.04-11+b4_amd64.deb ... Unpacking libtext-charwidth-perl:amd64 (0.04-11+b4) ... Selecting previously unselected package libtext-wrapi18n-perl. Preparing to unpack .../1-libtext-wrapi18n-perl_0.06-10_all.deb ... Unpacking libtext-wrapi18n-perl (0.06-10) ... Selecting previously unselected package libproc2-0:amd64. Preparing to unpack .../2-libproc2-0_2%3a4.0.4-9_amd64.deb ... Unpacking libproc2-0:amd64 (2:4.0.4-9) ... Selecting previously unselected package procps. Preparing to unpack .../3-procps_2%3a4.0.4-9_amd64.deb ... Unpacking procps (2:4.0.4-9) ... Selecting previously unselected package sensible-utils. Preparing to unpack .../4-sensible-utils_0.0.26_all.deb ... Unpacking sensible-utils (0.0.26) ... Selecting previously unselected package ucf. Preparing to unpack .../5-ucf_3.0052_all.deb ... Moving old data out of the way Unpacking ucf (3.0052) ... Selecting previously unselected package libdebuginfod-common. Preparing to unpack .../6-libdebuginfod-common_0.192-4_all.deb ... Unpacking libdebuginfod-common (0.192-4) ... Selecting previously unselected package libexpat1:amd64. Preparing to unpack .../7-libexpat1_2.7.1-2_amd64.deb ... Unpacking libexpat1:amd64 (2.7.1-2) ... Selecting previously unselected package libpython3.13-minimal:amd64. Preparing to unpack .../8-libpython3.13-minimal_3.13.7-1_amd64.deb ... Unpacking libpython3.13-minimal:amd64 (3.13.7-1) ... Selecting previously unselected package python3.13-minimal. Preparing to unpack .../9-python3.13-minimal_3.13.7-1_amd64.deb ... Unpacking python3.13-minimal (3.13.7-1) ... Setting up libpython3.13-minimal:amd64 (3.13.7-1) ... Setting up libexpat1:amd64 (2.7.1-2) ... Setting up python3.13-minimal (3.13.7-1) ... Selecting previously unselected package python3-minimal. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 20504 files and directories currently installed.) Preparing to unpack .../0-python3-minimal_3.13.5-1_amd64.deb ... Unpacking python3-minimal (3.13.5-1) ... Selecting previously unselected package media-types. Preparing to unpack .../1-media-types_13.0.0_all.deb ... Unpacking media-types (13.0.0) ... Selecting previously unselected package netbase. Preparing to unpack .../2-netbase_6.5_all.deb ... Unpacking netbase (6.5) ... Selecting previously unselected package tzdata. Preparing to unpack .../3-tzdata_2025b-5_all.deb ... Unpacking tzdata (2025b-5) ... Selecting previously unselected package libffi8:amd64. Preparing to unpack .../4-libffi8_3.4.8-2_amd64.deb ... Unpacking libffi8:amd64 (3.4.8-2) ... Selecting previously unselected package readline-common. Preparing to unpack .../5-readline-common_8.2-6_all.deb ... Unpacking readline-common (8.2-6) ... Selecting previously unselected package libreadline8t64:amd64. Preparing to unpack .../6-libreadline8t64_8.2-6_amd64.deb ... Adding 'diversion of /lib/x86_64-linux-gnu/libhistory.so.8 to /lib/x86_64-linux-gnu/libhistory.so.8.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/x86_64-linux-gnu/libhistory.so.8.2 to /lib/x86_64-linux-gnu/libhistory.so.8.2.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/x86_64-linux-gnu/libreadline.so.8 to /lib/x86_64-linux-gnu/libreadline.so.8.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/x86_64-linux-gnu/libreadline.so.8.2 to /lib/x86_64-linux-gnu/libreadline.so.8.2.usr-is-merged by libreadline8t64' Unpacking libreadline8t64:amd64 (8.2-6) ... Selecting previously unselected package libpython3.13-stdlib:amd64. Preparing to unpack .../7-libpython3.13-stdlib_3.13.7-1_amd64.deb ... Unpacking libpython3.13-stdlib:amd64 (3.13.7-1) ... Selecting previously unselected package python3.13. Preparing to unpack .../8-python3.13_3.13.7-1_amd64.deb ... Unpacking python3.13 (3.13.7-1) ... Selecting previously unselected package libpython3-stdlib:amd64. Preparing to unpack .../9-libpython3-stdlib_3.13.5-1_amd64.deb ... Unpacking libpython3-stdlib:amd64 (3.13.5-1) ... Setting up python3-minimal (3.13.5-1) ... Selecting previously unselected package python3. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 21519 files and directories currently installed.) Preparing to unpack .../000-python3_3.13.5-1_amd64.deb ... Unpacking python3 (3.13.5-1) ... Selecting previously unselected package python3-numpy-dev:amd64. Preparing to unpack .../001-python3-numpy-dev_1%3a2.2.4+ds-1_amd64.deb ... Unpacking python3-numpy-dev:amd64 (1:2.2.4+ds-1) ... Selecting previously unselected package libblas3:amd64. Preparing to unpack .../002-libblas3_3.12.1-6_amd64.deb ... Unpacking libblas3:amd64 (3.12.1-6) ... Selecting previously unselected package libgfortran5:amd64. Preparing to unpack .../003-libgfortran5_15.2.0-1_amd64.deb ... Unpacking libgfortran5:amd64 (15.2.0-1) ... Selecting previously unselected package liblapack3:amd64. Preparing to unpack .../004-liblapack3_3.12.1-6_amd64.deb ... Unpacking liblapack3:amd64 (3.12.1-6) ... Selecting previously unselected package python3-numpy. Preparing to unpack .../005-python3-numpy_1%3a2.2.4+ds-1_amd64.deb ... Unpacking python3-numpy (1:2.2.4+ds-1) ... Selecting previously unselected package openssl. Preparing to unpack .../006-openssl_3.5.2-1_amd64.deb ... Unpacking openssl (3.5.2-1) ... Selecting previously unselected package ca-certificates. Preparing to unpack .../007-ca-certificates_20250419_all.deb ... Unpacking ca-certificates (20250419) ... Selecting previously unselected package libmagic-mgc. Preparing to unpack .../008-libmagic-mgc_1%3a5.46-5_amd64.deb ... Unpacking libmagic-mgc (1:5.46-5) ... Selecting previously unselected package libmagic1t64:amd64. Preparing to unpack .../009-libmagic1t64_1%3a5.46-5_amd64.deb ... Unpacking libmagic1t64:amd64 (1:5.46-5) ... Selecting previously unselected package file. Preparing to unpack .../010-file_1%3a5.46-5_amd64.deb ... Unpacking file (1:5.46-5) ... Selecting previously unselected package gettext-base. Preparing to unpack .../011-gettext-base_0.23.1-2+b1_amd64.deb ... Unpacking gettext-base (0.23.1-2+b1) ... Selecting previously unselected package libuchardet0:amd64. Preparing to unpack .../012-libuchardet0_0.0.8-1+b2_amd64.deb ... Unpacking libuchardet0:amd64 (0.0.8-1+b2) ... Selecting previously unselected package groff-base. Preparing to unpack .../013-groff-base_1.23.0-9_amd64.deb ... Unpacking groff-base (1.23.0-9) ... Selecting previously unselected package bsdextrautils. Preparing to unpack .../014-bsdextrautils_2.41.1-1_amd64.deb ... Unpacking bsdextrautils (2.41.1-1) ... Selecting previously unselected package libpipeline1:amd64. Preparing to unpack .../015-libpipeline1_1.5.8-1_amd64.deb ... Unpacking libpipeline1:amd64 (1.5.8-1) ... Selecting previously unselected package man-db. Preparing to unpack .../016-man-db_2.13.1-1_amd64.deb ... Unpacking man-db (2.13.1-1) ... Selecting previously unselected package m4. Preparing to unpack .../017-m4_1.4.19-8_amd64.deb ... Unpacking m4 (1.4.19-8) ... Selecting previously unselected package autoconf. Preparing to unpack .../018-autoconf_2.72-3.1_all.deb ... Unpacking autoconf (2.72-3.1) ... Selecting previously unselected package autotools-dev. Preparing to unpack .../019-autotools-dev_20240727.1_all.deb ... Unpacking autotools-dev (20240727.1) ... Selecting previously unselected package automake. Preparing to unpack .../020-automake_1%3a1.17-4_all.deb ... Unpacking automake (1:1.17-4) ... Selecting previously unselected package autopoint. Preparing to unpack .../021-autopoint_0.23.1-2_all.deb ... Unpacking autopoint (0.23.1-2) ... Selecting previously unselected package libtcl8.6:amd64. Preparing to unpack .../022-libtcl8.6_8.6.17+dfsg-1_amd64.deb ... Unpacking libtcl8.6:amd64 (8.6.17+dfsg-1) ... Selecting previously unselected package libbrotli1:amd64. Preparing to unpack .../023-libbrotli1_1.1.0-2+b7_amd64.deb ... Unpacking libbrotli1:amd64 (1.1.0-2+b7) ... Selecting previously unselected package libpng16-16t64:amd64. Preparing to unpack .../024-libpng16-16t64_1.6.50-1_amd64.deb ... Unpacking libpng16-16t64:amd64 (1.6.50-1) ... Selecting previously unselected package libfreetype6:amd64. Preparing to unpack .../025-libfreetype6_2.13.3+dfsg-1_amd64.deb ... Unpacking libfreetype6:amd64 (2.13.3+dfsg-1) ... Selecting previously unselected package fonts-dejavu-mono. Preparing to unpack .../026-fonts-dejavu-mono_2.37-8_all.deb ... Unpacking fonts-dejavu-mono (2.37-8) ... Selecting previously unselected package fonts-dejavu-core. Preparing to unpack .../027-fonts-dejavu-core_2.37-8_all.deb ... Unpacking fonts-dejavu-core (2.37-8) ... Selecting previously unselected package fontconfig-config. Preparing to unpack .../028-fontconfig-config_2.15.0-2.3_amd64.deb ... Unpacking fontconfig-config (2.15.0-2.3) ... Selecting previously unselected package libfontconfig1:amd64. Preparing to unpack .../029-libfontconfig1_2.15.0-2.3_amd64.deb ... Unpacking libfontconfig1:amd64 (2.15.0-2.3) ... Selecting previously unselected package libxau6:amd64. Preparing to unpack .../030-libxau6_1%3a1.0.11-1_amd64.deb ... Unpacking libxau6:amd64 (1:1.0.11-1) ... Selecting previously unselected package libxdmcp6:amd64. Preparing to unpack .../031-libxdmcp6_1%3a1.1.5-1_amd64.deb ... Unpacking libxdmcp6:amd64 (1:1.1.5-1) ... Selecting previously unselected package libxcb1:amd64. Preparing to unpack .../032-libxcb1_1.17.0-2+b1_amd64.deb ... Unpacking libxcb1:amd64 (1.17.0-2+b1) ... Selecting previously unselected package libx11-data. Preparing to unpack .../033-libx11-data_2%3a1.8.12-1_all.deb ... Unpacking libx11-data (2:1.8.12-1) ... Selecting previously unselected package libx11-6:amd64. Preparing to unpack .../034-libx11-6_2%3a1.8.12-1_amd64.deb ... Unpacking libx11-6:amd64 (2:1.8.12-1) ... Selecting previously unselected package libxrender1:amd64. Preparing to unpack .../035-libxrender1_1%3a0.9.12-1_amd64.deb ... Unpacking libxrender1:amd64 (1:0.9.12-1) ... Selecting previously unselected package libxft2:amd64. Preparing to unpack .../036-libxft2_2.3.6-1+b4_amd64.deb ... Unpacking libxft2:amd64 (2.3.6-1+b4) ... Selecting previously unselected package libxext6:amd64. Preparing to unpack .../037-libxext6_2%3a1.3.4-1+b3_amd64.deb ... Unpacking libxext6:amd64 (2:1.3.4-1+b3) ... Selecting previously unselected package x11-common. Preparing to unpack .../038-x11-common_1%3a7.7+24_all.deb ... Unpacking x11-common (1:7.7+24) ... Selecting previously unselected package libxss1:amd64. Preparing to unpack .../039-libxss1_1%3a1.2.3-1+b3_amd64.deb ... Unpacking libxss1:amd64 (1:1.2.3-1+b3) ... Selecting previously unselected package libtk8.6:amd64. Preparing to unpack .../040-libtk8.6_8.6.17-1_amd64.deb ... Unpacking libtk8.6:amd64 (8.6.17-1) ... Selecting previously unselected package tk8.6-blt2.5. Preparing to unpack .../041-tk8.6-blt2.5_2.5.3+dfsg-8_amd64.deb ... Unpacking tk8.6-blt2.5 (2.5.3+dfsg-8) ... Selecting previously unselected package blt. Preparing to unpack .../042-blt_2.5.3+dfsg-8_amd64.deb ... Unpacking blt (2.5.3+dfsg-8) ... Selecting previously unselected package cython3. Preparing to unpack .../043-cython3_3.0.11+dfsg-2+b1_amd64.deb ... Unpacking cython3 (3.0.11+dfsg-2+b1) ... Selecting previously unselected package libdebhelper-perl. Preparing to unpack .../044-libdebhelper-perl_13.26_all.deb ... Unpacking libdebhelper-perl (13.26) ... Selecting previously unselected package libtool. Preparing to unpack .../045-libtool_2.5.4-4_all.deb ... Unpacking libtool (2.5.4-4) ... Selecting previously unselected package dh-autoreconf. Preparing to unpack .../046-dh-autoreconf_20_all.deb ... Unpacking dh-autoreconf (20) ... Selecting previously unselected package libarchive-zip-perl. Preparing to unpack .../047-libarchive-zip-perl_1.68-1_all.deb ... Unpacking libarchive-zip-perl (1.68-1) ... Selecting previously unselected package libfile-stripnondeterminism-perl. Preparing to unpack .../048-libfile-stripnondeterminism-perl_1.14.2-1_all.deb ... Unpacking libfile-stripnondeterminism-perl (1.14.2-1) ... Selecting previously unselected package dh-strip-nondeterminism. Preparing to unpack .../049-dh-strip-nondeterminism_1.14.2-1_all.deb ... Unpacking dh-strip-nondeterminism (1.14.2-1) ... Selecting previously unselected package libelf1t64:amd64. Preparing to unpack .../050-libelf1t64_0.192-4_amd64.deb ... Unpacking libelf1t64:amd64 (0.192-4) ... Selecting previously unselected package dwz. Preparing to unpack .../051-dwz_0.15-1+b1_amd64.deb ... Unpacking dwz (0.15-1+b1) ... Selecting previously unselected package libunistring5:amd64. Preparing to unpack .../052-libunistring5_1.3-2_amd64.deb ... Unpacking libunistring5:amd64 (1.3-2) ... Selecting previously unselected package libxml2-16:amd64. Preparing to unpack .../053-libxml2-16_2.14.5+dfsg-0.2_amd64.deb ... Unpacking libxml2-16:amd64 (2.14.5+dfsg-0.2) ... Selecting previously unselected package gettext. Preparing to unpack .../054-gettext_0.23.1-2+b1_amd64.deb ... Unpacking gettext (0.23.1-2+b1) ... Selecting previously unselected package intltool-debian. Preparing to unpack .../055-intltool-debian_0.35.0+20060710.6_all.deb ... Unpacking intltool-debian (0.35.0+20060710.6) ... Selecting previously unselected package po-debconf. Preparing to unpack .../056-po-debconf_1.0.21+nmu1_all.deb ... Unpacking po-debconf (1.0.21+nmu1) ... Selecting previously unselected package debhelper. Preparing to unpack .../057-debhelper_13.26_all.deb ... Unpacking debhelper (13.26) ... Selecting previously unselected package dh-python. Preparing to unpack .../058-dh-python_6.20250414_all.deb ... Unpacking dh-python (6.20250414) ... Selecting previously unselected package sgml-base. Preparing to unpack .../059-sgml-base_1.31+nmu1_all.deb ... Unpacking sgml-base (1.31+nmu1) ... Selecting previously unselected package xml-core. Preparing to unpack .../060-xml-core_0.19_all.deb ... Unpacking xml-core (0.19) ... Selecting previously unselected package docutils-common. Preparing to unpack .../061-docutils-common_0.21.2+dfsg-2_all.deb ... Unpacking docutils-common (0.21.2+dfsg-2) ... Selecting previously unselected package fontconfig. Preparing to unpack .../062-fontconfig_2.15.0-2.3_amd64.deb ... Unpacking fontconfig (2.15.0-2.3) ... Selecting previously unselected package fonts-font-awesome. Preparing to unpack .../063-fonts-font-awesome_5.0.10+really4.7.0~dfsg-4.1_all.deb ... Unpacking fonts-font-awesome (5.0.10+really4.7.0~dfsg-4.1) ... Selecting previously unselected package fonts-glyphicons-halflings. Preparing to unpack .../064-fonts-glyphicons-halflings_1.009~3.4.1+dfsg-6_all.deb ... Unpacking fonts-glyphicons-halflings (1.009~3.4.1+dfsg-6) ... Selecting previously unselected package fonts-lyx. Preparing to unpack .../065-fonts-lyx_2.4.3-1_all.deb ... Unpacking fonts-lyx (2.4.3-1) ... Selecting previously unselected package fonts-mathjax. Preparing to unpack .../066-fonts-mathjax_2.7.9+dfsg-1_all.deb ... Unpacking fonts-mathjax (2.7.9+dfsg-1) ... Selecting previously unselected package fonts-open-sans. Preparing to unpack .../067-fonts-open-sans_1.11-2_all.deb ... Unpacking fonts-open-sans (1.11-2) ... Selecting previously unselected package libdw1t64:amd64. Preparing to unpack .../068-libdw1t64_0.192-4_amd64.deb ... Unpacking libdw1t64:amd64 (0.192-4) ... Selecting previously unselected package libglib2.0-0t64:amd64. Preparing to unpack .../069-libglib2.0-0t64_2.84.4-3_amd64.deb ... Unpacking libglib2.0-0t64:amd64 (2.84.4-3) ... Selecting previously unselected package libbabeltrace1:amd64. Preparing to unpack .../070-libbabeltrace1_1.5.11-4+b2_amd64.deb ... Unpacking libbabeltrace1:amd64 (1.5.11-4+b2) ... Selecting previously unselected package libidn2-0:amd64. Preparing to unpack .../071-libidn2-0_2.3.8-4_amd64.deb ... Unpacking libidn2-0:amd64 (2.3.8-4) ... Selecting previously unselected package libp11-kit0:amd64. Preparing to unpack .../072-libp11-kit0_0.25.5-3_amd64.deb ... Unpacking libp11-kit0:amd64 (0.25.5-3) ... Selecting previously unselected package libtasn1-6:amd64. Preparing to unpack .../073-libtasn1-6_4.20.0-2_amd64.deb ... Unpacking libtasn1-6:amd64 (4.20.0-2) ... Selecting previously unselected package libgnutls30t64:amd64. Preparing to unpack .../074-libgnutls30t64_3.8.9-3_amd64.deb ... Unpacking libgnutls30t64:amd64 (3.8.9-3) ... Selecting previously unselected package libkrb5support0:amd64. Preparing to unpack .../075-libkrb5support0_1.21.3-5_amd64.deb ... Unpacking libkrb5support0:amd64 (1.21.3-5) ... Selecting previously unselected package libcom-err2:amd64. Preparing to unpack .../076-libcom-err2_1.47.2-3+b3_amd64.deb ... Unpacking libcom-err2:amd64 (1.47.2-3+b3) ... Selecting previously unselected package libk5crypto3:amd64. Preparing to unpack .../077-libk5crypto3_1.21.3-5_amd64.deb ... Unpacking libk5crypto3:amd64 (1.21.3-5) ... Selecting previously unselected package libkeyutils1:amd64. Preparing to unpack .../078-libkeyutils1_1.6.3-6_amd64.deb ... Unpacking libkeyutils1:amd64 (1.6.3-6) ... Selecting previously unselected package libkrb5-3:amd64. Preparing to unpack .../079-libkrb5-3_1.21.3-5_amd64.deb ... Unpacking libkrb5-3:amd64 (1.21.3-5) ... Selecting previously unselected package libgssapi-krb5-2:amd64. Preparing to unpack .../080-libgssapi-krb5-2_1.21.3-5_amd64.deb ... Unpacking libgssapi-krb5-2:amd64 (1.21.3-5) ... Selecting previously unselected package libsasl2-modules-db:amd64. Preparing to unpack .../081-libsasl2-modules-db_2.1.28+dfsg1-9_amd64.deb ... Unpacking libsasl2-modules-db:amd64 (2.1.28+dfsg1-9) ... Selecting previously unselected package libsasl2-2:amd64. Preparing to unpack .../082-libsasl2-2_2.1.28+dfsg1-9_amd64.deb ... Unpacking libsasl2-2:amd64 (2.1.28+dfsg1-9) ... Selecting previously unselected package libldap2:amd64. Preparing to unpack .../083-libldap2_2.6.10+dfsg-1_amd64.deb ... Unpacking libldap2:amd64 (2.6.10+dfsg-1) ... Selecting previously unselected package libnghttp2-14:amd64. Preparing to unpack .../084-libnghttp2-14_1.64.0-1.1+b1_amd64.deb ... Unpacking libnghttp2-14:amd64 (1.64.0-1.1+b1) ... Selecting previously unselected package libnghttp3-9:amd64. Preparing to unpack .../085-libnghttp3-9_1.8.0-1_amd64.deb ... Unpacking libnghttp3-9:amd64 (1.8.0-1) ... Selecting previously unselected package libngtcp2-16:amd64. Preparing to unpack .../086-libngtcp2-16_1.11.0-1_amd64.deb ... Unpacking libngtcp2-16:amd64 (1.11.0-1) ... Selecting previously unselected package libngtcp2-crypto-gnutls8:amd64. Preparing to unpack .../087-libngtcp2-crypto-gnutls8_1.11.0-1_amd64.deb ... Unpacking libngtcp2-crypto-gnutls8:amd64 (1.11.0-1) ... Selecting previously unselected package libpsl5t64:amd64. Preparing to unpack .../088-libpsl5t64_0.21.2-1.1+b1_amd64.deb ... Unpacking libpsl5t64:amd64 (0.21.2-1.1+b1) ... Selecting previously unselected package librtmp1:amd64. Preparing to unpack .../089-librtmp1_2.4+20151223.gitfa8646d.1-3_amd64.deb ... Unpacking librtmp1:amd64 (2.4+20151223.gitfa8646d.1-3) ... Selecting previously unselected package libssh2-1t64:amd64. Preparing to unpack .../090-libssh2-1t64_1.11.1-1_amd64.deb ... Unpacking libssh2-1t64:amd64 (1.11.1-1) ... Selecting previously unselected package libcurl3t64-gnutls:amd64. Preparing to unpack .../091-libcurl3t64-gnutls_8.15.0-1_amd64.deb ... Unpacking libcurl3t64-gnutls:amd64 (8.15.0-1) ... Selecting previously unselected package libjson-c5:amd64. Preparing to unpack .../092-libjson-c5_0.18+ds-1_amd64.deb ... Unpacking libjson-c5:amd64 (0.18+ds-1) ... Selecting previously unselected package libdebuginfod1t64:amd64. Preparing to unpack .../093-libdebuginfod1t64_0.192-4_amd64.deb ... Unpacking libdebuginfod1t64:amd64 (0.192-4) ... Selecting previously unselected package libipt2. Preparing to unpack .../094-libipt2_2.1.2-1_amd64.deb ... Unpacking libipt2 (2.1.2-1) ... Selecting previously unselected package libpython3.13:amd64. Preparing to unpack .../095-libpython3.13_3.13.7-1_amd64.deb ... Unpacking libpython3.13:amd64 (3.13.7-1) ... Selecting previously unselected package libsource-highlight-common. Preparing to unpack .../096-libsource-highlight-common_3.1.9-4.3_all.deb ... Unpacking libsource-highlight-common (3.1.9-4.3) ... Selecting previously unselected package libsource-highlight4t64:amd64. Preparing to unpack .../097-libsource-highlight4t64_3.1.9-4.3+b1_amd64.deb ... Unpacking libsource-highlight4t64:amd64 (3.1.9-4.3+b1) ... Selecting previously unselected package gdb. Preparing to unpack .../098-gdb_16.3-4_amd64.deb ... Unpacking gdb (16.3-4) ... Selecting previously unselected package libjodycode3t64:amd64. Preparing to unpack .../099-libjodycode3t64_3.1.2-1_amd64.deb ... Unpacking libjodycode3t64:amd64 (3.1.2-1) ... Selecting previously unselected package jdupes. Preparing to unpack .../100-jdupes_1.28.0-1_amd64.deb ... Unpacking jdupes (1.28.0-1) ... Selecting previously unselected package libsuitesparseconfig7:amd64. Preparing to unpack .../101-libsuitesparseconfig7_1%3a7.11.0+dfsg-1_amd64.deb ... Unpacking libsuitesparseconfig7:amd64 (1:7.11.0+dfsg-1) ... Selecting previously unselected package libamd3:amd64. Preparing to unpack .../102-libamd3_1%3a7.11.0+dfsg-1_amd64.deb ... Unpacking libamd3:amd64 (1:7.11.0+dfsg-1) ... Selecting previously unselected package libargon2-1:amd64. Preparing to unpack .../103-libargon2-1_0~20190702+dfsg-5_amd64.deb ... Unpacking libargon2-1:amd64 (0~20190702+dfsg-5) ... Selecting previously unselected package libpixman-1-0:amd64. Preparing to unpack .../104-libpixman-1-0_0.44.0-3_amd64.deb ... Unpacking libpixman-1-0:amd64 (0.44.0-3) ... Selecting previously unselected package libxcb-render0:amd64. Preparing to unpack .../105-libxcb-render0_1.17.0-2+b1_amd64.deb ... Unpacking libxcb-render0:amd64 (1.17.0-2+b1) ... Selecting previously unselected package libxcb-shm0:amd64. Preparing to unpack .../106-libxcb-shm0_1.17.0-2+b1_amd64.deb ... Unpacking libxcb-shm0:amd64 (1.17.0-2+b1) ... Selecting previously unselected package libcairo2:amd64. Preparing to unpack .../107-libcairo2_1.18.4-1+b1_amd64.deb ... Unpacking libcairo2:amd64 (1.18.4-1+b1) ... Selecting previously unselected package libcamd3:amd64. Preparing to unpack .../108-libcamd3_1%3a7.11.0+dfsg-1_amd64.deb ... Unpacking libcamd3:amd64 (1:7.11.0+dfsg-1) ... Selecting previously unselected package libccolamd3:amd64. Preparing to unpack .../109-libccolamd3_1%3a7.11.0+dfsg-1_amd64.deb ... Unpacking libccolamd3:amd64 (1:7.11.0+dfsg-1) ... Selecting previously unselected package libcolamd3:amd64. Preparing to unpack .../110-libcolamd3_1%3a7.11.0+dfsg-1_amd64.deb ... Unpacking libcolamd3:amd64 (1:7.11.0+dfsg-1) ... Selecting previously unselected package libcholmod5:amd64. Preparing to unpack .../111-libcholmod5_1%3a7.11.0+dfsg-1_amd64.deb ... Unpacking libcholmod5:amd64 (1:7.11.0+dfsg-1) ... Selecting previously unselected package libcurl4t64:amd64. Preparing to unpack .../112-libcurl4t64_8.15.0-1_amd64.deb ... Unpacking libcurl4t64:amd64 (8.15.0-1) ... Selecting previously unselected package libdatrie1:amd64. Preparing to unpack .../113-libdatrie1_0.2.13-4_amd64.deb ... Unpacking libdatrie1:amd64 (0.2.13-4) ... Selecting previously unselected package libdeflate0:amd64. Preparing to unpack .../114-libdeflate0_1.23-2_amd64.deb ... Unpacking libdeflate0:amd64 (1.23-2) ... Selecting previously unselected package libdsdp-5.8t64. Preparing to unpack .../115-libdsdp-5.8t64_5.8-10.1_amd64.deb ... Unpacking libdsdp-5.8t64 (5.8-10.1) ... Selecting previously unselected package libexpat1-dev:amd64. Preparing to unpack .../116-libexpat1-dev_2.7.1-2_amd64.deb ... Unpacking libexpat1-dev:amd64 (2.7.1-2) ... Selecting previously unselected package libfftw3-double3:amd64. Preparing to unpack .../117-libfftw3-double3_3.3.10-2+b1_amd64.deb ... Unpacking libfftw3-double3:amd64 (3.3.10-2+b1) ... Selecting previously unselected package libfribidi0:amd64. Preparing to unpack .../118-libfribidi0_1.0.16-1_amd64.deb ... Unpacking libfribidi0:amd64 (1.0.16-1) ... Selecting previously unselected package libgpg-error0:amd64. Preparing to unpack .../119-libgpg-error0_1.55-2_amd64.deb ... Unpacking libgpg-error0:amd64 (1.55-2) ... Selecting previously unselected package libgcrypt20:amd64. Preparing to unpack .../120-libgcrypt20_1.11.2-2_amd64.deb ... Unpacking libgcrypt20:amd64 (1.11.2-2) ... Selecting previously unselected package libltdl7:amd64. Preparing to unpack .../121-libltdl7_2.5.4-4_amd64.deb ... Unpacking libltdl7:amd64 (2.5.4-4) ... Selecting previously unselected package libglpk40:amd64. Preparing to unpack .../122-libglpk40_5.0-2_amd64.deb ... Unpacking libglpk40:amd64 (5.0-2) ... Selecting previously unselected package libgraphite2-3:amd64. Preparing to unpack .../123-libgraphite2-3_1.3.14-3_amd64.deb ... Unpacking libgraphite2-3:amd64 (1.3.14-3) ... Selecting previously unselected package libgslcblas0:amd64. Preparing to unpack .../124-libgslcblas0_2.8+dfsg-5_amd64.deb ... Unpacking libgslcblas0:amd64 (2.8+dfsg-5) ... Selecting previously unselected package libgsl28:amd64. Preparing to unpack .../125-libgsl28_2.8+dfsg-5_amd64.deb ... Unpacking libgsl28:amd64 (2.8+dfsg-5) ... Selecting previously unselected package libharfbuzz0b:amd64. Preparing to unpack .../126-libharfbuzz0b_10.2.0-1+b1_amd64.deb ... Unpacking libharfbuzz0b:amd64 (10.2.0-1+b1) ... Selecting previously unselected package libice6:amd64. Preparing to unpack .../127-libice6_2%3a1.1.1-1_amd64.deb ... Unpacking libice6:amd64 (2:1.1.1-1) ... Selecting previously unselected package libicu76:amd64. Preparing to unpack .../128-libicu76_76.1-4_amd64.deb ... Unpacking libicu76:amd64 (76.1-4) ... Selecting previously unselected package libimagequant0:amd64. Preparing to unpack .../129-libimagequant0_4.4.0-3_amd64.deb ... Unpacking libimagequant0:amd64 (4.4.0-3) ... Selecting previously unselected package libjbig0:amd64. Preparing to unpack .../130-libjbig0_2.1-6.1+b2_amd64.deb ... Unpacking libjbig0:amd64 (2.1-6.1+b2) ... Selecting previously unselected package libjpeg62-turbo:amd64. Preparing to unpack .../131-libjpeg62-turbo_1%3a2.1.5-4_amd64.deb ... Unpacking libjpeg62-turbo:amd64 (1:2.1.5-4) ... Selecting previously unselected package libjs-underscore. Preparing to unpack .../132-libjs-underscore_1.13.4~dfsg+~1.11.4-3_all.deb ... Unpacking libjs-underscore (1.13.4~dfsg+~1.11.4-3) ... Selecting previously unselected package libjs-backbone. Preparing to unpack .../133-libjs-backbone_1.4.1~dfsg+~1.4.15-3_all.deb ... Unpacking libjs-backbone (1.4.1~dfsg+~1.4.15-3) ... Selecting previously unselected package libjs-bootstrap. Preparing to unpack .../134-libjs-bootstrap_3.4.1+dfsg-6_all.deb ... Unpacking libjs-bootstrap (3.4.1+dfsg-6) ... Selecting previously unselected package libjs-jquery. Preparing to unpack .../135-libjs-jquery_3.6.1+dfsg+~3.5.14-1_all.deb ... Unpacking libjs-jquery (3.6.1+dfsg+~3.5.14-1) ... Selecting previously unselected package libjs-bootstrap-tour. Preparing to unpack .../136-libjs-bootstrap-tour_0.12.0+dfsg-5_all.deb ... Unpacking libjs-bootstrap-tour (0.12.0+dfsg-5) ... Selecting previously unselected package libjs-codemirror. Preparing to unpack .../137-libjs-codemirror_5.65.20+~cs5.83.25-1_all.deb ... Unpacking libjs-codemirror (5.65.20+~cs5.83.25-1) ... Selecting previously unselected package libjs-es6-promise. Preparing to unpack .../138-libjs-es6-promise_4.2.8-12_all.deb ... Unpacking libjs-es6-promise (4.2.8-12) ... Selecting previously unselected package node-jed. Preparing to unpack .../139-node-jed_1.1.1-4_all.deb ... Unpacking node-jed (1.1.1-4) ... Selecting previously unselected package libjs-jed. Preparing to unpack .../140-libjs-jed_1.1.1-4_all.deb ... Unpacking libjs-jed (1.1.1-4) ... Selecting previously unselected package libjs-jquery-typeahead. Preparing to unpack .../141-libjs-jquery-typeahead_2.11.0+dfsg1-3_all.deb ... Unpacking libjs-jquery-typeahead (2.11.0+dfsg1-3) ... Selecting previously unselected package libjs-jquery-ui. Preparing to unpack .../142-libjs-jquery-ui_1.13.2+dfsg-1_all.deb ... Unpacking libjs-jquery-ui (1.13.2+dfsg-1) ... Selecting previously unselected package libjs-marked. Preparing to unpack .../143-libjs-marked_4.2.3+ds+~4.0.7-4_all.deb ... Unpacking libjs-marked (4.2.3+ds+~4.0.7-4) ... Selecting previously unselected package libjs-mathjax. Preparing to unpack .../144-libjs-mathjax_2.7.9+dfsg-1_all.deb ... Unpacking libjs-mathjax (2.7.9+dfsg-1) ... Selecting previously unselected package libjs-moment. Preparing to unpack .../145-libjs-moment_2.29.4+ds-1_all.deb ... Unpacking libjs-moment (2.29.4+ds-1) ... Selecting previously unselected package libjs-requirejs. Preparing to unpack .../146-libjs-requirejs_2.3.7+ds+~2.1.37-1_all.deb ... Unpacking libjs-requirejs (2.3.7+ds+~2.1.37-1) ... Selecting previously unselected package libjs-requirejs-text. Preparing to unpack .../147-libjs-requirejs-text_2.0.12-1.1_all.deb ... Unpacking libjs-requirejs-text (2.0.12-1.1) ... Selecting previously unselected package libjs-sphinxdoc. Preparing to unpack .../148-libjs-sphinxdoc_8.2.3-2_all.deb ... Unpacking libjs-sphinxdoc (8.2.3-2) ... Selecting previously unselected package libjs-text-encoding. Preparing to unpack .../149-libjs-text-encoding_0.7.0-5_all.deb ... Unpacking libjs-text-encoding (0.7.0-5) ... Selecting previously unselected package libjs-xterm. Preparing to unpack .../150-libjs-xterm_5.3.0-4_all.deb ... Unpacking libjs-xterm (5.3.0-4) ... Selecting previously unselected package libjson-perl. Preparing to unpack .../151-libjson-perl_4.10000-1_all.deb ... Unpacking libjson-perl (4.10000-1) ... Selecting previously unselected package liblcms2-2:amd64. Preparing to unpack .../152-liblcms2-2_2.16-2_amd64.deb ... Unpacking liblcms2-2:amd64 (2.16-2) ... Selecting previously unselected package liblerc4:amd64. Preparing to unpack .../153-liblerc4_4.0.0+ds-5_amd64.deb ... Unpacking liblerc4:amd64 (4.0.0+ds-5) ... Selecting previously unselected package liblua5.4-0:amd64. Preparing to unpack .../154-liblua5.4-0_5.4.8-1_amd64.deb ... Unpacking liblua5.4-0:amd64 (5.4.8-1) ... Selecting previously unselected package libnlopt0:amd64. Preparing to unpack .../155-libnlopt0_2.7.1-6+b4_amd64.deb ... Unpacking libnlopt0:amd64 (2.7.1-6+b4) ... Selecting previously unselected package libnorm1t64:amd64. Preparing to unpack .../156-libnorm1t64_1.5.9+dfsg-3.1+b2_amd64.deb ... Unpacking libnorm1t64:amd64 (1.5.9+dfsg-3.1+b2) ... Selecting previously unselected package libnuma1:amd64. Preparing to unpack .../157-libnuma1_2.0.19-1_amd64.deb ... Unpacking libnuma1:amd64 (2.0.19-1) ... Selecting previously unselected package libopenjp2-7:amd64. Preparing to unpack .../158-libopenjp2-7_2.5.3-2.1_amd64.deb ... Unpacking libopenjp2-7:amd64 (2.5.3-2.1) ... Selecting previously unselected package libthai-data. Preparing to unpack .../159-libthai-data_0.1.29-2_all.deb ... Unpacking libthai-data (0.1.29-2) ... Selecting previously unselected package libthai0:amd64. Preparing to unpack .../160-libthai0_0.1.29-2+b1_amd64.deb ... Unpacking libthai0:amd64 (0.1.29-2+b1) ... Selecting previously unselected package libpango-1.0-0:amd64. Preparing to unpack .../161-libpango-1.0-0_1.56.3-1_amd64.deb ... Unpacking libpango-1.0-0:amd64 (1.56.3-1) ... Selecting previously unselected package libpangoft2-1.0-0:amd64. Preparing to unpack .../162-libpangoft2-1.0-0_1.56.3-1_amd64.deb ... Unpacking libpangoft2-1.0-0:amd64 (1.56.3-1) ... Selecting previously unselected package libpangocairo-1.0-0:amd64. Preparing to unpack .../163-libpangocairo-1.0-0_1.56.3-1_amd64.deb ... Unpacking libpangocairo-1.0-0:amd64 (1.56.3-1) ... Selecting previously unselected package libpaper2:amd64. Preparing to unpack .../164-libpaper2_2.2.5-0.3+b2_amd64.deb ... Unpacking libpaper2:amd64 (2.2.5-0.3+b2) ... Selecting previously unselected package libpaper-utils. Preparing to unpack .../165-libpaper-utils_2.2.5-0.3+b2_amd64.deb ... Unpacking libpaper-utils (2.2.5-0.3+b2) ... Selecting previously unselected package libpgm-5.3-0t64:amd64. Preparing to unpack .../166-libpgm-5.3-0t64_5.3.128~dfsg-2.1+b1_amd64.deb ... Unpacking libpgm-5.3-0t64:amd64 (5.3.128~dfsg-2.1+b1) ... Selecting previously unselected package zlib1g-dev:amd64. Preparing to unpack .../167-zlib1g-dev_1%3a1.3.dfsg+really1.3.1-1+b1_amd64.deb ... Unpacking zlib1g-dev:amd64 (1:1.3.dfsg+really1.3.1-1+b1) ... Selecting previously unselected package libpython3.13-dev:amd64. Preparing to unpack .../168-libpython3.13-dev_3.13.7-1_amd64.deb ... Unpacking libpython3.13-dev:amd64 (3.13.7-1) ... Selecting previously unselected package libpython3-dev:amd64. Preparing to unpack .../169-libpython3-dev_3.13.5-1_amd64.deb ... Unpacking libpython3-dev:amd64 (3.13.5-1) ... Selecting previously unselected package libpython3-all-dev:amd64. Preparing to unpack .../170-libpython3-all-dev_3.13.5-1_amd64.deb ... Unpacking libpython3-all-dev:amd64 (3.13.5-1) ... Selecting previously unselected package libqhull-r8.0:amd64. Preparing to unpack .../171-libqhull-r8.0_2020.2-6+b2_amd64.deb ... Unpacking libqhull-r8.0:amd64 (2020.2-6+b2) ... Selecting previously unselected package libraqm0:amd64. Preparing to unpack .../172-libraqm0_0.10.3-1_amd64.deb ... Unpacking libraqm0:amd64 (0.10.3-1) ... Selecting previously unselected package libsharpyuv0:amd64. Preparing to unpack .../173-libsharpyuv0_1.5.0-0.1_amd64.deb ... Unpacking libsharpyuv0:amd64 (1.5.0-0.1) ... Selecting previously unselected package libsm6:amd64. Preparing to unpack .../174-libsm6_2%3a1.2.6-1_amd64.deb ... Unpacking libsm6:amd64 (2:1.2.6-1) ... Selecting previously unselected package libsodium23:amd64. Preparing to unpack .../175-libsodium23_1.0.18-1+b2_amd64.deb ... Unpacking libsodium23:amd64 (1.0.18-1+b2) ... Selecting previously unselected package libwebp7:amd64. Preparing to unpack .../176-libwebp7_1.5.0-0.1_amd64.deb ... Unpacking libwebp7:amd64 (1.5.0-0.1) ... Selecting previously unselected package libtiff6:amd64. Preparing to unpack .../177-libtiff6_4.7.0-4_amd64.deb ... Unpacking libtiff6:amd64 (4.7.0-4) ... Selecting previously unselected package libtirpc-common. Preparing to unpack .../178-libtirpc-common_1.3.6+ds-1_all.deb ... Unpacking libtirpc-common (1.3.6+ds-1) ... Selecting previously unselected package libtirpc3t64:amd64. Preparing to unpack .../179-libtirpc3t64_1.3.6+ds-1_amd64.deb ... Adding 'diversion of /lib/x86_64-linux-gnu/libtirpc.so.3 to /lib/x86_64-linux-gnu/libtirpc.so.3.usr-is-merged by libtirpc3t64' Adding 'diversion of /lib/x86_64-linux-gnu/libtirpc.so.3.0.0 to /lib/x86_64-linux-gnu/libtirpc.so.3.0.0.usr-is-merged by libtirpc3t64' Unpacking libtirpc3t64:amd64 (1.3.6+ds-1) ... Selecting previously unselected package libumfpack6:amd64. Preparing to unpack .../180-libumfpack6_1%3a7.11.0+dfsg-1_amd64.deb ... Unpacking libumfpack6:amd64 (1:7.11.0+dfsg-1) ... Selecting previously unselected package libwebpdemux2:amd64. Preparing to unpack .../181-libwebpdemux2_1.5.0-0.1_amd64.deb ... Unpacking libwebpdemux2:amd64 (1.5.0-0.1) ... Selecting previously unselected package libwebpmux3:amd64. Preparing to unpack .../182-libwebpmux3_1.5.0-0.1_amd64.deb ... Unpacking libwebpmux3:amd64 (1.5.0-0.1) ... Selecting previously unselected package libxslt1.1:amd64. Preparing to unpack .../183-libxslt1.1_1.1.43-0.2_amd64.deb ... Unpacking libxslt1.1:amd64 (1.1.43-0.2) ... Selecting previously unselected package libxt6t64:amd64. Preparing to unpack .../184-libxt6t64_1%3a1.2.1-1.2+b2_amd64.deb ... Unpacking libxt6t64:amd64 (1:1.2.1-1.2+b2) ... Selecting previously unselected package libyaml-0-2:amd64. Preparing to unpack .../185-libyaml-0-2_0.2.5-2_amd64.deb ... Unpacking libyaml-0-2:amd64 (0.2.5-2) ... Selecting previously unselected package libzmq5:amd64. Preparing to unpack .../186-libzmq5_4.3.5-1+b3_amd64.deb ... Unpacking libzmq5:amd64 (4.3.5-1+b3) ... Selecting previously unselected package libzopfli1. Preparing to unpack .../187-libzopfli1_1.0.3-3_amd64.deb ... Unpacking libzopfli1 (1.0.3-3) ... Selecting previously unselected package zip. Preparing to unpack .../188-zip_3.0-15_amd64.deb ... Unpacking zip (3.0-15) ... Selecting previously unselected package unzip. Preparing to unpack .../189-unzip_6.0-29_amd64.deb ... Unpacking unzip (6.0-29) ... Selecting previously unselected package xdg-utils. Preparing to unpack .../190-xdg-utils_1.2.1-2_all.deb ... Unpacking xdg-utils (1.2.1-2) ... Selecting previously unselected package r-base-core. Preparing to unpack .../191-r-base-core_4.5.1-1_amd64.deb ... Unpacking r-base-core (4.5.1-1) ... Selecting previously unselected package r-cran-littler. Preparing to unpack .../192-r-cran-littler_0.3.21-1_amd64.deb ... Unpacking r-cran-littler (0.3.21-1) ... Selecting previously unselected package littler. Preparing to unpack .../193-littler_0.3.21-1_all.deb ... Unpacking littler (0.3.21-1) ... Selecting previously unselected package pandoc-data. Preparing to unpack .../194-pandoc-data_3.1.11.1-3_all.deb ... Unpacking pandoc-data (3.1.11.1-3) ... Selecting previously unselected package pandoc. Preparing to unpack .../195-pandoc_3.1.11.1+ds-3_amd64.deb ... Unpacking pandoc (3.1.11.1+ds-3) ... Selecting previously unselected package python3-packaging. Preparing to unpack .../196-python3-packaging_25.0-1_all.deb ... Unpacking python3-packaging (25.0-1) ... Selecting previously unselected package python3-pyproject-hooks. Preparing to unpack .../197-python3-pyproject-hooks_1.2.0-1_all.deb ... Unpacking python3-pyproject-hooks (1.2.0-1) ... Selecting previously unselected package python3-wheel. Preparing to unpack .../198-python3-wheel_0.46.1-2_all.deb ... Unpacking python3-wheel (0.46.1-2) ... Selecting previously unselected package python3-build. Preparing to unpack .../199-python3-build_1.2.2-4_all.deb ... Unpacking python3-build (1.2.2-4) ... Selecting previously unselected package python3-installer. Preparing to unpack .../200-python3-installer_0.7.0+dfsg1-3_all.deb ... Unpacking python3-installer (0.7.0+dfsg1-3) ... Selecting previously unselected package pybuild-plugin-pyproject. Preparing to unpack .../201-pybuild-plugin-pyproject_6.20250414_all.deb ... Unpacking pybuild-plugin-pyproject (6.20250414) ... Selecting previously unselected package python-babel-localedata. Preparing to unpack .../202-python-babel-localedata_2.17.0-1_all.deb ... Unpacking python-babel-localedata (2.17.0-1) ... Selecting previously unselected package python-matplotlib-data. Preparing to unpack .../203-python-matplotlib-data_3.10.1+dfsg1-4_all.deb ... Unpacking python-matplotlib-data (3.10.1+dfsg1-4) ... Selecting previously unselected package python-matplotlib-doc. Preparing to unpack .../204-python-matplotlib-doc_3.10.1+dfsg1-4_all.deb ... Unpacking python-matplotlib-doc (3.10.1+dfsg1-4) ... Selecting previously unselected package python-numpy-doc. Preparing to unpack .../205-python-numpy-doc_1%3a2.2.4+ds-1_all.deb ... Unpacking python-numpy-doc (1:2.2.4+ds-1) ... Selecting previously unselected package python-pandas-doc. Preparing to unpack .../206-python-pandas-doc_2.2.3+dfsg-9_all.deb ... Unpacking python-pandas-doc (2.2.3+dfsg-9) ... Selecting previously unselected package python-scipy-doc. Preparing to unpack .../207-python-scipy-doc_1.15.3-1_all.deb ... Unpacking python-scipy-doc (1.15.3-1) ... Selecting previously unselected package python-tinycss2-common. Preparing to unpack .../208-python-tinycss2-common_1.4.0-2_all.deb ... Unpacking python-tinycss2-common (1.4.0-2) ... Selecting previously unselected package python3-alabaster. Preparing to unpack .../209-python3-alabaster_0.7.16-0.1_all.deb ... Unpacking python3-alabaster (0.7.16-0.1) ... Selecting previously unselected package python3-all. Preparing to unpack .../210-python3-all_3.13.5-1_amd64.deb ... Unpacking python3-all (3.13.5-1) ... Selecting previously unselected package python3.13-dev. Preparing to unpack .../211-python3.13-dev_3.13.7-1_amd64.deb ... Unpacking python3.13-dev (3.13.7-1) ... Selecting previously unselected package python3-dev. Preparing to unpack .../212-python3-dev_3.13.5-1_amd64.deb ... Unpacking python3-dev (3.13.5-1) ... Selecting previously unselected package python3-all-dev. Preparing to unpack .../213-python3-all-dev_3.13.5-1_amd64.deb ... Unpacking python3-all-dev (3.13.5-1) ... Selecting previously unselected package python3-cffi-backend:amd64. Preparing to unpack .../214-python3-cffi-backend_2.0.0~b1-1_amd64.deb ... Unpacking python3-cffi-backend:amd64 (2.0.0~b1-1) ... Selecting previously unselected package python3-ply. Preparing to unpack .../215-python3-ply_3.11-9_all.deb ... Unpacking python3-ply (3.11-9) ... Selecting previously unselected package python3-pycparser. Preparing to unpack .../216-python3-pycparser_2.22-2_all.deb ... Unpacking python3-pycparser (2.22-2) ... Selecting previously unselected package python3-cffi. Preparing to unpack .../217-python3-cffi_2.0.0~b1-1_all.deb ... Unpacking python3-cffi (2.0.0~b1-1) ... Selecting previously unselected package python3-argon2-cffi-bindings. Preparing to unpack .../218-python3-argon2-cffi-bindings_25.1.0-2_amd64.deb ... Unpacking python3-argon2-cffi-bindings (25.1.0-2) ... Selecting previously unselected package python3-argon2. Preparing to unpack .../219-python3-argon2_25.1.0-2_amd64.deb ... Unpacking python3-argon2 (25.1.0-2) ... Selecting previously unselected package python3-asttokens. Preparing to unpack .../220-python3-asttokens_3.0.0-2_all.deb ... Unpacking python3-asttokens (3.0.0-2) ... Selecting previously unselected package python3-attr. Preparing to unpack .../221-python3-attr_25.3.0-1_all.deb ... Unpacking python3-attr (25.3.0-1) ... Selecting previously unselected package python3-autocommand. Preparing to unpack .../222-python3-autocommand_2.2.2-3_all.deb ... Unpacking python3-autocommand (2.2.2-3) ... Selecting previously unselected package python3-babel. Preparing to unpack .../223-python3-babel_2.17.0-1_all.deb ... Unpacking python3-babel (2.17.0-1) ... Selecting previously unselected package python3-webencodings. Preparing to unpack .../224-python3-webencodings_0.5.1-5_all.deb ... Unpacking python3-webencodings (0.5.1-5) ... Selecting previously unselected package python3-html5lib. Preparing to unpack .../225-python3-html5lib_1.2-2_all.deb ... Unpacking python3-html5lib (1.2-2) ... Selecting previously unselected package python3-bleach. Preparing to unpack .../226-python3-bleach_6.2.0-1_all.deb ... Unpacking python3-bleach (6.2.0-1) ... Selecting previously unselected package python3-brotli. Preparing to unpack .../227-python3-brotli_1.1.0-2+b7_amd64.deb ... Unpacking python3-brotli (1.1.0-2+b7) ... Selecting previously unselected package python3-soupsieve. Preparing to unpack .../228-python3-soupsieve_2.7-2_all.deb ... Unpacking python3-soupsieve (2.7-2) ... Selecting previously unselected package python3-typing-extensions. Preparing to unpack .../229-python3-typing-extensions_4.14.1-1_all.deb ... Unpacking python3-typing-extensions (4.14.1-1) ... Selecting previously unselected package python3-bs4. Preparing to unpack .../230-python3-bs4_4.13.4-4_all.deb ... Unpacking python3-bs4 (4.13.4-4) ... Selecting previously unselected package python3-certifi. Preparing to unpack .../231-python3-certifi_2025.1.31+ds-1_all.deb ... Unpacking python3-certifi (2025.1.31+ds-1) ... Selecting previously unselected package python3-chardet. Preparing to unpack .../232-python3-chardet_5.2.0+dfsg-2_all.deb ... Unpacking python3-chardet (5.2.0+dfsg-2) ... Selecting previously unselected package python3-charset-normalizer. Preparing to unpack .../233-python3-charset-normalizer_3.4.3-1_amd64.deb ... Unpacking python3-charset-normalizer (3.4.3-1) ... Selecting previously unselected package python3-colorama. Preparing to unpack .../234-python3-colorama_0.4.6-4_all.deb ... Unpacking python3-colorama (0.4.6-4) ... Selecting previously unselected package python3-traitlets. Preparing to unpack .../235-python3-traitlets_5.14.3+really5.14.3-1_all.deb ... Unpacking python3-traitlets (5.14.3+really5.14.3-1) ... Selecting previously unselected package python3-comm. Preparing to unpack .../236-python3-comm_0.2.1-1_all.deb ... Unpacking python3-comm (0.2.1-1) ... Selecting previously unselected package python3-contourpy. Preparing to unpack .../237-python3-contourpy_1.3.1-2_amd64.deb ... Unpacking python3-contourpy (1.3.1-2) ... Selecting previously unselected package python3-coverage. Preparing to unpack .../238-python3-coverage_7.8.2+dfsg1-1_amd64.deb ... Unpacking python3-coverage (7.8.2+dfsg1-1) ... Selecting previously unselected package python3-cvxopt. Preparing to unpack .../239-python3-cvxopt_1.3.0+dfsg-1+b9_amd64.deb ... Unpacking python3-cvxopt (1.3.0+dfsg-1+b9) ... Selecting previously unselected package python3-cycler. Preparing to unpack .../240-python3-cycler_0.12.1-2_all.deb ... Unpacking python3-cycler (0.12.1-2) ... Selecting previously unselected package python3-dateutil. Preparing to unpack .../241-python3-dateutil_2.9.0-4_all.deb ... Unpacking python3-dateutil (2.9.0-4) ... Selecting previously unselected package python3-debugpy. Preparing to unpack .../242-python3-debugpy_1.8.12+ds-1_amd64.deb ... Unpacking python3-debugpy (1.8.12+ds-1) ... Selecting previously unselected package python3-decorator. Preparing to unpack .../243-python3-decorator_5.2.1-2_all.deb ... Unpacking python3-decorator (5.2.1-2) ... Selecting previously unselected package python3-defusedxml. Preparing to unpack .../244-python3-defusedxml_0.7.1-3_all.deb ... Unpacking python3-defusedxml (0.7.1-3) ... Selecting previously unselected package python3.13-doc. Preparing to unpack .../245-python3.13-doc_3.13.7-1_all.deb ... Unpacking python3.13-doc (3.13.7-1) ... Selecting previously unselected package python3-doc. Preparing to unpack .../246-python3-doc_3.13.5-1_all.deb ... Unpacking python3-doc (3.13.5-1) ... Selecting previously unselected package python3-roman. Preparing to unpack .../247-python3-roman_5.1-1_all.deb ... Unpacking python3-roman (5.1-1) ... Selecting previously unselected package python3-docutils. Preparing to unpack .../248-python3-docutils_0.21.2+dfsg-2_all.deb ... Unpacking python3-docutils (0.21.2+dfsg-2) ... Selecting previously unselected package python3-executing. Preparing to unpack .../249-python3-executing_2.2.0-0.3_all.deb ... Unpacking python3-executing (2.2.0-0.3) ... Selecting previously unselected package python3-fastjsonschema. Preparing to unpack .../250-python3-fastjsonschema_2.21.1-1_all.deb ... Unpacking python3-fastjsonschema (2.21.1-1) ... Selecting previously unselected package python3-platformdirs. Preparing to unpack .../251-python3-platformdirs_4.3.7-1_all.deb ... Unpacking python3-platformdirs (4.3.7-1) ... Selecting previously unselected package python3-fs. Preparing to unpack .../252-python3-fs_2.4.16-7_all.deb ... Unpacking python3-fs (2.4.16-7) ... Selecting previously unselected package python3-lxml:amd64. Preparing to unpack .../253-python3-lxml_5.4.0-1+b1_amd64.deb ... Unpacking python3-lxml:amd64 (5.4.0-1+b1) ... Selecting previously unselected package python3-lz4. Preparing to unpack .../254-python3-lz4_4.4.4+dfsg-1_amd64.deb ... Unpacking python3-lz4 (4.4.4+dfsg-1) ... Selecting previously unselected package python3-scipy. Preparing to unpack .../255-python3-scipy_1.15.3-1_amd64.deb ... Unpacking python3-scipy (1.15.3-1) ... Selecting previously unselected package python3-mpmath. Preparing to unpack .../256-python3-mpmath_1.3.0-1_all.deb ... Unpacking python3-mpmath (1.3.0-1) ... Selecting previously unselected package python3-sympy. Preparing to unpack .../257-python3-sympy_1.14.0-2_all.deb ... Unpacking python3-sympy (1.14.0-2) ... Selecting previously unselected package python3-ufolib2. Preparing to unpack .../258-python3-ufolib2_0.17.1+dfsg1-1_all.deb ... Unpacking python3-ufolib2 (0.17.1+dfsg1-1) ... Selecting previously unselected package python3-zopfli. Preparing to unpack .../259-python3-zopfli_0.2.3.post1-1+b1_amd64.deb ... Unpacking python3-zopfli (0.2.3.post1-1+b1) ... Selecting previously unselected package unicode-data. Preparing to unpack .../260-unicode-data_15.1.0-1_all.deb ... Unpacking unicode-data (15.1.0-1) ... Selecting previously unselected package python3-fonttools. Preparing to unpack .../261-python3-fonttools_4.57.0-1_amd64.deb ... Unpacking python3-fonttools (4.57.0-1) ... Selecting previously unselected package python3-idna. Preparing to unpack .../262-python3-idna_3.10-1_all.deb ... Unpacking python3-idna (3.10-1) ... Selecting previously unselected package python3-imagesize. Preparing to unpack .../263-python3-imagesize_1.4.1-1_all.deb ... Unpacking python3-imagesize (1.4.1-1) ... Selecting previously unselected package python3-more-itertools. Preparing to unpack .../264-python3-more-itertools_10.7.0-1_all.deb ... Unpacking python3-more-itertools (10.7.0-1) ... Selecting previously unselected package python3-typeguard. Preparing to unpack .../265-python3-typeguard_4.4.4-1_all.deb ... Unpacking python3-typeguard (4.4.4-1) ... Selecting previously unselected package python3-inflect. Preparing to unpack .../266-python3-inflect_7.3.1-2_all.deb ... Unpacking python3-inflect (7.3.1-2) ... Selecting previously unselected package python3-iniconfig. Preparing to unpack .../267-python3-iniconfig_1.1.1-2_all.deb ... Unpacking python3-iniconfig (1.1.1-2) ... Selecting previously unselected package python3-parso. Preparing to unpack .../268-python3-parso_0.8.4-1_all.deb ... Unpacking python3-parso (0.8.4-1) ... Selecting previously unselected package python3-typeshed. Preparing to unpack .../269-python3-typeshed_0.0~git20241223.ea91db2-3_all.deb ... Unpacking python3-typeshed (0.0~git20241223.ea91db2-3) ... Selecting previously unselected package python3-jedi. Preparing to unpack .../270-python3-jedi_0.19.1+ds1-1_all.deb ... Unpacking python3-jedi (0.19.1+ds1-1) ... Selecting previously unselected package python3-matplotlib-inline. Preparing to unpack .../271-python3-matplotlib-inline_0.1.7-1_all.deb ... Unpacking python3-matplotlib-inline (0.1.7-1) ... Selecting previously unselected package python3-wcwidth. Preparing to unpack .../272-python3-wcwidth_0.2.13+dfsg1-1_all.deb ... Unpacking python3-wcwidth (0.2.13+dfsg1-1) ... Selecting previously unselected package python3-prompt-toolkit. Preparing to unpack .../273-python3-prompt-toolkit_3.0.51-4_all.deb ... Unpacking python3-prompt-toolkit (3.0.51-4) ... Selecting previously unselected package python3-pygments. Preparing to unpack .../274-python3-pygments_2.18.0+dfsg-2_all.deb ... Unpacking python3-pygments (2.18.0+dfsg-2) ... Selecting previously unselected package python3-pure-eval. Preparing to unpack .../275-python3-pure-eval_0.2.3-1_all.deb ... Unpacking python3-pure-eval (0.2.3-1) ... Selecting previously unselected package python3-stack-data. Preparing to unpack .../276-python3-stack-data_0.6.3-1_all.deb ... Unpacking python3-stack-data (0.6.3-1) ... Selecting previously unselected package python3-ptyprocess. Preparing to unpack .../277-python3-ptyprocess_0.7.0-6_all.deb ... Unpacking python3-ptyprocess (0.7.0-6) ... Selecting previously unselected package python3-pexpect. Preparing to unpack .../278-python3-pexpect_4.9-3_all.deb ... Unpacking python3-pexpect (4.9-3) ... Selecting previously unselected package python3-jaraco.context. Preparing to unpack .../279-python3-jaraco.context_6.0.1-1_all.deb ... Unpacking python3-jaraco.context (6.0.1-1) ... Selecting previously unselected package python3-jaraco.functools. Preparing to unpack .../280-python3-jaraco.functools_4.1.0-1_all.deb ... Unpacking python3-jaraco.functools (4.1.0-1) ... Selecting previously unselected package python3-pkg-resources. Preparing to unpack .../281-python3-pkg-resources_78.1.1-0.1_all.deb ... Unpacking python3-pkg-resources (78.1.1-0.1) ... Selecting previously unselected package python3-jaraco.text. Preparing to unpack .../282-python3-jaraco.text_4.0.0-1_all.deb ... Unpacking python3-jaraco.text (4.0.0-1) ... Selecting previously unselected package python3-zipp. Preparing to unpack .../283-python3-zipp_3.21.0-1_all.deb ... Unpacking python3-zipp (3.21.0-1) ... Selecting previously unselected package python3-setuptools. Preparing to unpack .../284-python3-setuptools_78.1.1-0.1_all.deb ... Unpacking python3-setuptools (78.1.1-0.1) ... Selecting previously unselected package python3-ipython. Preparing to unpack .../285-python3-ipython_8.35.0-1_all.deb ... Unpacking python3-ipython (8.35.0-1) ... Selecting previously unselected package python3-jupyter-core. Preparing to unpack .../286-python3-jupyter-core_5.7.2-5_all.deb ... Unpacking python3-jupyter-core (5.7.2-5) ... Selecting previously unselected package python3-psutil. Preparing to unpack .../287-python3-psutil_7.0.0-2_amd64.deb ... Unpacking python3-psutil (7.0.0-2) ... Selecting previously unselected package python3-tornado. Preparing to unpack .../288-python3-tornado_6.4.2-3_amd64.deb ... Unpacking python3-tornado (6.4.2-3) ... Selecting previously unselected package python3-zmq. Preparing to unpack .../289-python3-zmq_26.4.0-1_amd64.deb ... Unpacking python3-zmq (26.4.0-1) ... Selecting previously unselected package python3-jupyter-client. Preparing to unpack .../290-python3-jupyter-client_8.6.3-2_all.deb ... Unpacking python3-jupyter-client (8.6.3-2) ... Selecting previously unselected package python3-nest-asyncio. Preparing to unpack .../291-python3-nest-asyncio_1.5.4-1_all.deb ... Unpacking python3-nest-asyncio (1.5.4-1) ... Selecting previously unselected package python3-ipykernel. Preparing to unpack .../292-python3-ipykernel_6.30.1-1_all.deb ... Unpacking python3-ipykernel (6.30.1-1) ... Selecting previously unselected package python3-ipython-genutils. Preparing to unpack .../293-python3-ipython-genutils_0.2.0-7_all.deb ... Unpacking python3-ipython-genutils (0.2.0-7) ... Selecting previously unselected package python3-markupsafe. Preparing to unpack .../294-python3-markupsafe_2.1.5-1+b3_amd64.deb ... Unpacking python3-markupsafe (2.1.5-1+b3) ... Selecting previously unselected package python3-jinja2. Preparing to unpack .../295-python3-jinja2_3.1.6-1_all.deb ... Unpacking python3-jinja2 (3.1.6-1) ... Selecting previously unselected package python3-joblib. Preparing to unpack .../296-python3-joblib_1.4.2-5_all.deb ... Unpacking python3-joblib (1.4.2-5) ... Selecting previously unselected package python3-rpds-py. Preparing to unpack .../297-python3-rpds-py_0.21.0-2+b1_amd64.deb ... Unpacking python3-rpds-py (0.21.0-2+b1) ... Selecting previously unselected package python3-referencing. Preparing to unpack .../298-python3-referencing_0.36.2-1_all.deb ... Unpacking python3-referencing (0.36.2-1) ... Selecting previously unselected package python3-jsonschema-specifications. Preparing to unpack .../299-python3-jsonschema-specifications_2023.12.1-2_all.deb ... Unpacking python3-jsonschema-specifications (2023.12.1-2) ... Selecting previously unselected package python3-jsonschema. Preparing to unpack .../300-python3-jsonschema_4.19.2-6_all.deb ... Unpacking python3-jsonschema (4.19.2-6) ... Selecting previously unselected package python3-jupyterlab-pygments. Preparing to unpack .../301-python3-jupyterlab-pygments_0.2.2-3_all.deb ... Unpacking python3-jupyterlab-pygments (0.2.2-3) ... Selecting previously unselected package python3-kiwisolver. Preparing to unpack .../302-python3-kiwisolver_1.4.7-3+b1_amd64.deb ... Unpacking python3-kiwisolver (1.4.7-3+b1) ... Selecting previously unselected package python3-pil:amd64. Preparing to unpack .../303-python3-pil_11.1.0-5+b1_amd64.deb ... Unpacking python3-pil:amd64 (11.1.0-5+b1) ... Selecting previously unselected package python3.13-tk. Preparing to unpack .../304-python3.13-tk_3.13.7-1_amd64.deb ... Unpacking python3.13-tk (3.13.7-1) ... Selecting previously unselected package python3-tk:amd64. Preparing to unpack .../305-python3-tk_3.13.5-1_amd64.deb ... Unpacking python3-tk:amd64 (3.13.5-1) ... Selecting previously unselected package python3-pil.imagetk:amd64. Preparing to unpack .../306-python3-pil.imagetk_11.1.0-5+b1_amd64.deb ... Unpacking python3-pil.imagetk:amd64 (11.1.0-5+b1) ... Selecting previously unselected package python3-pyparsing. Preparing to unpack .../307-python3-pyparsing_3.1.2-1_all.deb ... Unpacking python3-pyparsing (3.1.2-1) ... Selecting previously unselected package python3-matplotlib. Preparing to unpack .../308-python3-matplotlib_3.10.1+dfsg1-4_amd64.deb ... Unpacking python3-matplotlib (3.10.1+dfsg1-4) ... Selecting previously unselected package python3-mistune. Preparing to unpack .../309-python3-mistune_3.1.3-1_all.deb ... Unpacking python3-mistune (3.1.3-1) ... Selecting previously unselected package python3-nbformat. Preparing to unpack .../310-python3-nbformat_5.9.1-1_all.deb ... Unpacking python3-nbformat (5.9.1-1) ... Selecting previously unselected package python3-nbclient. Preparing to unpack .../311-python3-nbclient_0.8.0-3_all.deb ... Unpacking python3-nbclient (0.8.0-3) ... Selecting previously unselected package python3-tinycss2. Preparing to unpack .../312-python3-tinycss2_1.4.0-2_all.deb ... Unpacking python3-tinycss2 (1.4.0-2) ... Selecting previously unselected package python3-pandocfilters. Preparing to unpack .../313-python3-pandocfilters_1.5.1-1_all.deb ... Unpacking python3-pandocfilters (1.5.1-1) ... Selecting previously unselected package python3-nbconvert. Preparing to unpack .../314-python3-nbconvert_7.16.6-1_all.deb ... Unpacking python3-nbconvert (7.16.6-1) ... Selecting previously unselected package sphinx-common. Preparing to unpack .../315-sphinx-common_8.2.3-2_all.deb ... Unpacking sphinx-common (8.2.3-2) ... Selecting previously unselected package python3-urllib3. Preparing to unpack .../316-python3-urllib3_2.5.0-1_all.deb ... Unpacking python3-urllib3 (2.5.0-1) ... Selecting previously unselected package python3-requests. Preparing to unpack .../317-python3-requests_2.32.4+dfsg-1_all.deb ... Unpacking python3-requests (2.32.4+dfsg-1) ... Selecting previously unselected package python3-roman-numerals. Preparing to unpack .../318-python3-roman-numerals_3.1.0-2_all.deb ... Unpacking python3-roman-numerals (3.1.0-2) ... Selecting previously unselected package python3-snowballstemmer. Preparing to unpack .../319-python3-snowballstemmer_3.0.1-1_all.deb ... Unpacking python3-snowballstemmer (3.0.1-1) ... Selecting previously unselected package python3-sphinx. Preparing to unpack .../320-python3-sphinx_8.2.3-2_all.deb ... Unpacking python3-sphinx (8.2.3-2) ... Selecting previously unselected package python3-nbsphinx. Preparing to unpack .../321-python3-nbsphinx_0.9.5+ds-1_all.deb ... Unpacking python3-nbsphinx (0.9.5+ds-1) ... Selecting previously unselected package python3-terminado. Preparing to unpack .../322-python3-terminado_0.18.1-1_all.deb ... Unpacking python3-terminado (0.18.1-1) ... Selecting previously unselected package python3-prometheus-client. Preparing to unpack .../323-python3-prometheus-client_0.21.1+ds1-1_all.deb ... Unpacking python3-prometheus-client (0.21.1+ds1-1) ... Selecting previously unselected package python3-send2trash. Preparing to unpack .../324-python3-send2trash_1.8.3-1_all.deb ... Unpacking python3-send2trash (1.8.3-1) ... Selecting previously unselected package python3-notebook. Preparing to unpack .../325-python3-notebook_6.4.13-5_all.deb ... Unpacking python3-notebook (6.4.13-5) ... Selecting previously unselected package python3-numpydoc. Preparing to unpack .../326-python3-numpydoc_1.9.0-1_all.deb ... Unpacking python3-numpydoc (1.9.0-1) ... Selecting previously unselected package python3-pytz. Preparing to unpack .../327-python3-pytz_2025.2-3_all.deb ... Unpacking python3-pytz (2025.2-3) ... Selecting previously unselected package python3-pandas-lib:amd64. Preparing to unpack .../328-python3-pandas-lib_2.2.3+dfsg-9_amd64.deb ... Unpacking python3-pandas-lib:amd64 (2.2.3+dfsg-9) ... Selecting previously unselected package python3-pandas. Preparing to unpack .../329-python3-pandas_2.2.3+dfsg-9_all.deb ... Unpacking python3-pandas (2.2.3+dfsg-9) ... Selecting previously unselected package python3-patsy. Preparing to unpack .../330-python3-patsy_1.0.1-1_all.deb ... Unpacking python3-patsy (1.0.1-1) ... Selecting previously unselected package python3-pickleshare. Preparing to unpack .../331-python3-pickleshare_0.7.5-5_all.deb ... Unpacking python3-pickleshare (0.7.5-5) ... Selecting previously unselected package python3-pluggy. Preparing to unpack .../332-python3-pluggy_1.6.0-1_all.deb ... Unpacking python3-pluggy (1.6.0-1) ... Selecting previously unselected package python3-py. Preparing to unpack .../333-python3-py_1.11.0-5_all.deb ... Unpacking python3-py (1.11.0-5) ... Selecting previously unselected package python3-pytest. Preparing to unpack .../334-python3-pytest_8.3.5-2_all.deb ... Unpacking python3-pytest (8.3.5-2) ... Selecting previously unselected package python3-pytest-forked. Preparing to unpack .../335-python3-pytest-forked_1.6.0-3_all.deb ... Unpacking python3-pytest-forked (1.6.0-3) ... Selecting previously unselected package python3-tzlocal. Preparing to unpack .../336-python3-tzlocal_5.3.1-1_all.deb ... Unpacking python3-tzlocal (5.3.1-1) ... Selecting previously unselected package python3-rpy2. Preparing to unpack .../337-python3-rpy2_3.5.17-2_amd64.deb ... Unpacking python3-rpy2 (3.5.17-2) ... Selecting previously unselected package python3-seaborn. Preparing to unpack .../338-python3-seaborn_0.13.2-5_all.deb ... Unpacking python3-seaborn (0.13.2-5) ... Selecting previously unselected package python3-setuptools-scm. Preparing to unpack .../339-python3-setuptools-scm_8.2.1-2_all.deb ... Unpacking python3-setuptools-scm (8.2.1-2) ... Selecting previously unselected package python3-simplegeneric. Preparing to unpack .../340-python3-simplegeneric_0.8.1-5_all.deb ... Unpacking python3-simplegeneric (0.8.1-5) ... Selecting previously unselected package python3-yaml. Preparing to unpack .../341-python3-yaml_6.0.2-2_amd64.deb ... Unpacking python3-yaml (6.0.2-2) ... Selecting previously unselected package python3-yapf. Preparing to unpack .../342-python3-yapf_0.43.0-1_all.deb ... Unpacking python3-yapf (0.43.0-1) ... Selecting previously unselected package r-cran-backports. Preparing to unpack .../343-r-cran-backports_1.5.0-2_amd64.deb ... Unpacking r-cran-backports (1.5.0-2) ... Selecting previously unselected package r-cran-boot. Preparing to unpack .../344-r-cran-boot_1.3-31-1_all.deb ... Unpacking r-cran-boot (1.3-31-1) ... Selecting previously unselected package r-cran-cli. Preparing to unpack .../345-r-cran-cli_3.6.4-1_amd64.deb ... Unpacking r-cran-cli (3.6.4-1) ... Selecting previously unselected package r-cran-generics. Preparing to unpack .../346-r-cran-generics_0.1.3-1_all.deb ... Unpacking r-cran-generics (0.1.3-1) ... Selecting previously unselected package r-cran-glue. Preparing to unpack .../347-r-cran-glue_1.8.0-1_amd64.deb ... Unpacking r-cran-glue (1.8.0-1) ... Selecting previously unselected package r-cran-rlang. Preparing to unpack .../348-r-cran-rlang_1.1.5-3_amd64.deb ... Unpacking r-cran-rlang (1.1.5-3) ... Selecting previously unselected package r-cran-lifecycle. Preparing to unpack .../349-r-cran-lifecycle_1.0.4+dfsg-1_all.deb ... Unpacking r-cran-lifecycle (1.0.4+dfsg-1) ... Selecting previously unselected package r-cran-magrittr. Preparing to unpack .../350-r-cran-magrittr_2.0.3-1_amd64.deb ... Unpacking r-cran-magrittr (2.0.3-1) ... Selecting previously unselected package r-cran-utf8. Preparing to unpack .../351-r-cran-utf8_1.2.4-1_amd64.deb ... Unpacking r-cran-utf8 (1.2.4-1) ... Selecting previously unselected package r-cran-vctrs. Preparing to unpack .../352-r-cran-vctrs_0.6.5-1_amd64.deb ... Unpacking r-cran-vctrs (0.6.5-1) ... Selecting previously unselected package r-cran-pillar. Preparing to unpack .../353-r-cran-pillar_1.10.1+dfsg-1_all.deb ... Unpacking r-cran-pillar (1.10.1+dfsg-1) ... Selecting previously unselected package r-cran-r6. Preparing to unpack .../354-r-cran-r6_2.6.1-1_all.deb ... Unpacking r-cran-r6 (2.6.1-1) ... Selecting previously unselected package r-cran-fansi. Preparing to unpack .../355-r-cran-fansi_1.0.6-2_amd64.deb ... Unpacking r-cran-fansi (1.0.6-2) ... Selecting previously unselected package r-cran-pkgconfig. Preparing to unpack .../356-r-cran-pkgconfig_2.0.3-2_all.deb ... Unpacking r-cran-pkgconfig (2.0.3-2) ... Selecting previously unselected package r-cran-tibble. Preparing to unpack .../357-r-cran-tibble_3.2.1+dfsg-3_amd64.deb ... Unpacking r-cran-tibble (3.2.1+dfsg-3) ... Selecting previously unselected package r-cran-withr. Preparing to unpack .../358-r-cran-withr_3.0.2+dfsg-1_all.deb ... Unpacking r-cran-withr (3.0.2+dfsg-1) ... Selecting previously unselected package r-cran-tidyselect. Preparing to unpack .../359-r-cran-tidyselect_1.2.1+dfsg-1_amd64.deb ... Unpacking r-cran-tidyselect (1.2.1+dfsg-1) ... Selecting previously unselected package r-cran-dplyr. Preparing to unpack .../360-r-cran-dplyr_1.1.4-4_amd64.deb ... Unpacking r-cran-dplyr (1.1.4-4) ... Selecting previously unselected package r-cran-purrr. Preparing to unpack .../361-r-cran-purrr_1.0.4-1_amd64.deb ... Unpacking r-cran-purrr (1.0.4-1) ... Selecting previously unselected package r-cran-stringi. Preparing to unpack .../362-r-cran-stringi_1.8.4-1+b1_amd64.deb ... Unpacking r-cran-stringi (1.8.4-1+b1) ... Selecting previously unselected package r-cran-stringr. Preparing to unpack .../363-r-cran-stringr_1.5.1-1_all.deb ... Unpacking r-cran-stringr (1.5.1-1) ... Selecting previously unselected package r-cran-cpp11. Preparing to unpack .../364-r-cran-cpp11_0.5.2-1_all.deb ... Unpacking r-cran-cpp11 (0.5.2-1) ... Selecting previously unselected package r-cran-tidyr. Preparing to unpack .../365-r-cran-tidyr_1.3.1-1_amd64.deb ... Unpacking r-cran-tidyr (1.3.1-1) ... Selecting previously unselected package r-cran-broom. Preparing to unpack .../366-r-cran-broom_1.0.7+dfsg-1_all.deb ... Unpacking r-cran-broom (1.0.7+dfsg-1) ... Selecting previously unselected package r-cran-cardata. Preparing to unpack .../367-r-cran-cardata_3.0.5-1_all.deb ... Unpacking r-cran-cardata (3.0.5-1) ... Selecting previously unselected package r-cran-colorspace. Preparing to unpack .../368-r-cran-colorspace_2.1-1+dfsg-1_amd64.deb ... Unpacking r-cran-colorspace (2.1-1+dfsg-1) ... Selecting previously unselected package r-cran-deoptimr. Preparing to unpack .../369-r-cran-deoptimr_1.1-4-1_all.deb ... Unpacking r-cran-deoptimr (1.1-4-1) ... Selecting previously unselected package r-cran-mass. Preparing to unpack .../370-r-cran-mass_7.3-65-1_amd64.deb ... Unpacking r-cran-mass (7.3-65-1) ... Selecting previously unselected package r-cran-geepack. Preparing to unpack .../371-r-cran-geepack_1.3.12-1_amd64.deb ... Unpacking r-cran-geepack (1.3.12-1) ... Selecting previously unselected package r-cran-lattice. Preparing to unpack .../372-r-cran-lattice_0.22-7-1_amd64.deb ... Unpacking r-cran-lattice (0.22-7-1) ... Selecting previously unselected package r-cran-sp. Preparing to unpack .../373-r-cran-sp_1%3a2.2-0+dfsg-1_amd64.deb ... Unpacking r-cran-sp (1:2.2-0+dfsg-1) ... Selecting previously unselected package r-cran-guerry. Preparing to unpack .../374-r-cran-guerry_1.8.3-1_all.deb ... Unpacking r-cran-guerry (1.8.3-1) ... Selecting previously unselected package r-cran-matrix. Preparing to unpack .../375-r-cran-matrix_1.7-3-1_amd64.deb ... Unpacking r-cran-matrix (1.7-3-1) ... Selecting previously unselected package r-cran-nlme. Preparing to unpack .../376-r-cran-nlme_3.1.168-1_amd64.deb ... Unpacking r-cran-nlme (3.1.168-1) ... Selecting previously unselected package r-cran-pkgkitten. Preparing to unpack .../377-r-cran-pkgkitten_0.2.4-1_all.deb ... Unpacking r-cran-pkgkitten (0.2.4-1) ... Selecting previously unselected package r-cran-rcpp. Preparing to unpack .../378-r-cran-rcpp_1.1.0-1_amd64.deb ... Unpacking r-cran-rcpp (1.1.0-1) ... Selecting previously unselected package r-cran-minqa. Preparing to unpack .../379-r-cran-minqa_1.2.8-1_amd64.deb ... Unpacking r-cran-minqa (1.2.8-1) ... Selecting previously unselected package r-cran-nloptr. Preparing to unpack .../380-r-cran-nloptr_2.2.1-2_amd64.deb ... Unpacking r-cran-nloptr (2.2.1-2) ... Selecting previously unselected package r-cran-rbibutils. Preparing to unpack .../381-r-cran-rbibutils_2.3-1_amd64.deb ... Unpacking r-cran-rbibutils (2.3-1) ... Selecting previously unselected package r-cran-rdpack. Preparing to unpack .../382-r-cran-rdpack_2.6.3-1_all.deb ... Unpacking r-cran-rdpack (2.6.3-1) ... Selecting previously unselected package r-cran-reformulas. Preparing to unpack .../383-r-cran-reformulas_0.4.1-1_all.deb ... Unpacking r-cran-reformulas (0.4.1-1) ... Selecting previously unselected package r-cran-rcppeigen. Preparing to unpack .../384-r-cran-rcppeigen_0.3.4.0.2-1_amd64.deb ... Unpacking r-cran-rcppeigen (0.3.4.0.2-1) ... Selecting previously unselected package r-cran-statmod. Preparing to unpack .../385-r-cran-statmod_1.5.0-1_amd64.deb ... Unpacking r-cran-statmod (1.5.0-1) ... Selecting previously unselected package r-cran-lme4. Preparing to unpack .../386-r-cran-lme4_1.1-37-1_amd64.deb ... Unpacking r-cran-lme4 (1.1-37-1) ... Selecting previously unselected package r-cran-zoo. Preparing to unpack .../387-r-cran-zoo_1.8-14-1_amd64.deb ... Unpacking r-cran-zoo (1.8-14-1) ... Selecting previously unselected package r-cran-lmtest. Preparing to unpack .../388-r-cran-lmtest_0.9.40-1_amd64.deb ... Unpacking r-cran-lmtest (0.9.40-1) ... Selecting previously unselected package r-cran-robustbase. Preparing to unpack .../389-r-cran-robustbase_0.99-4-1-1_amd64.deb ... Unpacking r-cran-robustbase (0.99-4-1-1) ... Selecting previously unselected package r-cran-vcd. Preparing to unpack .../390-r-cran-vcd_1%3a1.4-13-1_all.deb ... Unpacking r-cran-vcd (1:1.4-13-1) ... Setting up media-types (13.0.0) ... Setting up libpipeline1:amd64 (1.5.8-1) ... Setting up libgraphite2-3:amd64 (1.3.14-3) ... Setting up libjs-jquery-typeahead (2.11.0+dfsg1-3) ... Setting up liblcms2-2:amd64 (2.16-2) ... Setting up libpixman-1-0:amd64 (0.44.0-3) ... Setting up libtext-charwidth-perl:amd64 (0.04-11+b4) ... Setting up libnorm1t64:amd64 (1.5.9+dfsg-3.1+b2) ... Setting up libsharpyuv0:amd64 (1.5.0-0.1) ... Setting up libxau6:amd64 (1:1.0.11-1) ... Setting up libxdmcp6:amd64 (1:1.1.5-1) ... Setting up libkeyutils1:amd64 (1.6.3-6) ... Setting up libxcb1:amd64 (1.17.0-2+b1) ... Setting up fonts-mathjax (2.7.9+dfsg-1) ... Setting up libsodium23:amd64 (1.0.18-1+b2) ... Setting up liblerc4:amd64 (4.0.0+ds-5) ... Setting up bsdextrautils (2.41.1-1) ... Setting up libjs-mathjax (2.7.9+dfsg-1) ... Setting up libgpg-error0:amd64 (1.55-2) ... Setting up libdatrie1:amd64 (0.2.13-4) ... Setting up libgslcblas0:amd64 (2.8+dfsg-5) ... Setting up libjs-requirejs-text (2.0.12-1.1) ... Setting up libmagic-mgc (1:5.46-5) ... Setting up libxcb-render0:amd64 (1.17.0-2+b1) ... Setting up libarchive-zip-perl (1.68-1) ... Setting up libyaml-0-2:amd64 (0.2.5-2) ... Setting up fonts-glyphicons-halflings (1.009~3.4.1+dfsg-6) ... Setting up libxml2-16:amd64 (2.14.5+dfsg-0.2) ... Setting up libtirpc-common (1.3.6+ds-1) ... Setting up fonts-lyx (2.4.3-1) ... Setting up libargon2-1:amd64 (0~20190702+dfsg-5) ... Setting up unzip (6.0-29) ... Setting up libdebhelper-perl (13.26) ... Setting up libbrotli1:amd64 (1.1.0-2+b7) ... Setting up libmagic1t64:amd64 (1:5.46-5) ... Setting up x11-common (1:7.7+24) ... invoke-rc.d: could not determine current runlevel Setting up X socket directories... /tmp/.X11-unix /tmp/.ICE-unix. Setting up libnghttp2-14:amd64 (1.64.0-1.1+b1) ... Setting up libdeflate0:amd64 (1.23-2) ... Setting up gettext-base (0.23.1-2+b1) ... Setting up m4 (1.4.19-8) ... Setting up libgcrypt20:amd64 (1.11.2-2) ... Setting up libqhull-r8.0:amd64 (2020.2-6+b2) ... Setting up libnlopt0:amd64 (2.7.1-6+b4) ... Setting up libjs-moment (2.29.4+ds-1) ... Setting up libxcb-shm0:amd64 (1.17.0-2+b1) ... Setting up libcom-err2:amd64 (1.47.2-3+b3) ... Setting up file (1:5.46-5) ... Setting up libjs-requirejs (2.3.7+ds+~2.1.37-1) ... Setting up fonts-open-sans (1.11-2) ... Setting up libjs-es6-promise (4.2.8-12) ... Setting up libjs-text-encoding (0.7.0-5) ... Setting up libtext-wrapi18n-perl (0.06-10) ... Setting up libjbig0:amd64 (2.1-6.1+b2) ... Setting up libsource-highlight-common (3.1.9-4.3) ... Setting up libelf1t64:amd64 (0.192-4) ... Setting up python-babel-localedata (2.17.0-1) ... Setting up libkrb5support0:amd64 (1.21.3-5) ... Setting up libdw1t64:amd64 (0.192-4) ... Setting up libsasl2-modules-db:amd64 (2.1.28+dfsg1-9) ... Setting up tzdata (2025b-5) ... Current default time zone: 'Etc/UTC' Local time is now: Mon Sep 1 14:32:42 UTC 2025. Universal Time is now: Mon Sep 1 14:32:42 UTC 2025. Run 'dpkg-reconfigure tzdata' if you wish to change it. Setting up unicode-data (15.1.0-1) ... Setting up libpgm-5.3-0t64:amd64 (5.3.128~dfsg-2.1+b1) ... Setting up zip (3.0-15) ... Setting up autotools-dev (20240727.1) ... Setting up libblas3:amd64 (3.12.1-6) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so.3 to provide /usr/lib/x86_64-linux-gnu/libblas.so.3 (libblas.so.3-x86_64-linux-gnu) in auto mode Setting up libexpat1-dev:amd64 (2.7.1-2) ... Setting up libjpeg62-turbo:amd64 (1:2.1.5-4) ... Setting up libzopfli1 (1.0.3-3) ... Setting up libx11-data (2:1.8.12-1) ... Setting up node-jed (1.1.1-4) ... Setting up libjs-xterm (5.3.0-4) ... Setting up libjodycode3t64:amd64 (3.1.2-1) ... Setting up libfribidi0:amd64 (1.0.16-1) ... Setting up libimagequant0:amd64 (4.4.0-3) ... Setting up libproc2-0:amd64 (2:4.0.4-9) ... Setting up libunistring5:amd64 (1.3-2) ... Setting up libjs-codemirror (5.65.20+~cs5.83.25-1) ... Setting up fonts-dejavu-mono (2.37-8) ... Setting up libpng16-16t64:amd64 (1.6.50-1) ... Setting up python3-numpy-dev:amd64 (1:2.2.4+ds-1) ... Setting up libtcl8.6:amd64 (8.6.17+dfsg-1) ... Setting up autopoint (0.23.1-2) ... Setting up libjs-jed (1.1.1-4) ... Setting up libipt2 (2.1.2-1) ... Setting up fonts-dejavu-core (2.37-8) ... Setting up libk5crypto3:amd64 (1.21.3-5) ... Setting up libltdl7:amd64 (2.5.4-4) ... Setting up libfftw3-double3:amd64 (3.3.10-2+b1) ... Setting up libsasl2-2:amd64 (2.1.28+dfsg1-9) ... Setting up libgfortran5:amd64 (15.2.0-1) ... Setting up autoconf (2.72-3.1) ... Setting up libnghttp3-9:amd64 (1.8.0-1) ... Setting up libwebp7:amd64 (1.5.0-0.1) ... Setting up zlib1g-dev:amd64 (1:1.3.dfsg+really1.3.1-1+b1) ... Setting up libffi8:amd64 (3.4.8-2) ... Setting up libnuma1:amd64 (2.0.19-1) ... Setting up dwz (0.15-1+b1) ... Setting up sensible-utils (0.0.26) ... Setting up libtiff6:amd64 (4.7.0-4) ... Setting up libuchardet0:amd64 (0.0.8-1+b2) ... Setting up procps (2:4.0.4-9) ... Setting up python-tinycss2-common (1.4.0-2) ... Setting up libjson-perl (4.10000-1) ... Setting up libxslt1.1:amd64 (1.1.43-0.2) ... Setting up libtasn1-6:amd64 (4.20.0-2) ... Setting up libsuitesparseconfig7:amd64 (1:7.11.0+dfsg-1) ... Setting up liblua5.4-0:amd64 (5.4.8-1) ... Setting up libopenjp2-7:amd64 (2.5.3-2.1) ... Setting up libx11-6:amd64 (2:1.8.12-1) ... Setting up libthai-data (0.1.29-2) ... Setting up netbase (6.5) ... Setting up libngtcp2-16:amd64 (1.11.0-1) ... Setting up sgml-base (1.31+nmu1) ... Setting up libkrb5-3:amd64 (1.21.3-5) ... Setting up libicu76:amd64 (76.1-4) ... Setting up libpaper2:amd64 (2.2.5-0.3+b2) ... Setting up libssh2-1t64:amd64 (1.11.1-1) ... Setting up pandoc-data (3.1.11.1-3) ... Setting up libjs-jquery (3.6.1+dfsg+~3.5.14-1) ... Setting up libgsl28:amd64 (2.8+dfsg-5) ... Setting up python-matplotlib-data (3.10.1+dfsg1-4) ... Setting up openssl (3.5.2-1) ... Setting up libwebpmux3:amd64 (1.5.0-0.1) ... Setting up libjson-c5:amd64 (0.18+ds-1) ... Setting up readline-common (8.2-6) ... Setting up fonts-font-awesome (5.0.10+really4.7.0~dfsg-4.1) ... Setting up xdg-utils (1.2.1-2) ... update-alternatives: using /usr/bin/xdg-open to provide /usr/bin/open (open) in auto mode Setting up libldap2:amd64 (2.6.10+dfsg-1) ... Setting up libjs-bootstrap (3.4.1+dfsg-6) ... Setting up libjs-underscore (1.13.4~dfsg+~1.11.4-3) ... Setting up libjs-marked (4.2.3+ds+~4.0.7-4) ... Setting up automake (1:1.17-4) ... update-alternatives: using /usr/bin/automake-1.17 to provide /usr/bin/automake (automake) in auto mode Setting up libfile-stripnondeterminism-perl (1.14.2-1) ... Setting up libice6:amd64 (2:1.1.1-1) ... Setting up liblapack3:amd64 (3.12.1-6) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/x86_64-linux-gnu/liblapack.so.3 (liblapack.so.3-x86_64-linux-gnu) in auto mode Setting up gettext (0.23.1-2+b1) ... Setting up libamd3:amd64 (1:7.11.0+dfsg-1) ... Setting up libxrender1:amd64 (1:0.9.12-1) ... Setting up jdupes (1.28.0-1) ... Setting up libtool (2.5.4-4) ... Setting up libcolamd3:amd64 (1:7.11.0+dfsg-1) ... Setting up fontconfig-config (2.15.0-2.3) ... Setting up libwebpdemux2:amd64 (1.5.0-0.1) ... Setting up libjs-bootstrap-tour (0.12.0+dfsg-5) ... Setting up libxext6:amd64 (2:1.3.4-1+b3) ... Setting up libjs-backbone (1.4.1~dfsg+~1.4.15-3) ... Setting up libidn2-0:amd64 (2.3.8-4) ... Setting up libsource-highlight4t64:amd64 (3.1.9-4.3+b1) ... Setting up libpaper-utils (2.2.5-0.3+b2) ... Setting up libcamd3:amd64 (1:7.11.0+dfsg-1) ... Setting up intltool-debian (0.35.0+20060710.6) ... Setting up dh-autoreconf (20) ... Setting up python3.13-doc (3.13.7-1) ... Setting up libthai0:amd64 (0.1.29-2+b1) ... Setting up ca-certificates (20250419) ... Updating certificates in /etc/ssl/certs... 150 added, 0 removed; done. Setting up libglib2.0-0t64:amd64 (2.84.4-3) ... No schema files found: doing nothing. Setting up libjs-jquery-ui (1.13.2+dfsg-1) ... Setting up pandoc (3.1.11.1+ds-3) ... Setting up libfreetype6:amd64 (2.13.3+dfsg-1) ... Setting up libglpk40:amd64 (5.0-2) ... Setting up libp11-kit0:amd64 (0.25.5-3) ... Setting up libgssapi-krb5-2:amd64 (1.21.3-5) ... Setting up ucf (3.0052) ... Setting up libbabeltrace1:amd64 (1.5.11-4+b2) ... Setting up libjs-sphinxdoc (8.2.3-2) ... Setting up libccolamd3:amd64 (1:7.11.0+dfsg-1) ... Setting up libreadline8t64:amd64 (8.2-6) ... Setting up dh-strip-nondeterminism (1.14.2-1) ... Setting up python-matplotlib-doc (3.10.1+dfsg1-4) ... Setting up groff-base (1.23.0-9) ... Setting up xml-core (0.19) ... Setting up libharfbuzz0b:amd64 (10.2.0-1+b1) ... Setting up libdsdp-5.8t64 (5.8-10.1) ... Setting up libxss1:amd64 (1:1.2.3-1+b3) ... Setting up libfontconfig1:amd64 (2.15.0-2.3) ... Setting up libsm6:amd64 (2:1.2.6-1) ... Setting up libpython3.13-stdlib:amd64 (3.13.7-1) ... Setting up python3-doc (3.13.5-1) ... Setting up libpython3-stdlib:amd64 (3.13.5-1) ... Setting up libpython3.13:amd64 (3.13.7-1) ... Setting up libgnutls30t64:amd64 (3.8.9-3) ... Setting up python-numpy-doc (1:2.2.4+ds-1) ... Setting up fontconfig (2.15.0-2.3) ... Regenerating fonts cache... done. Setting up libcholmod5:amd64 (1:7.11.0+dfsg-1) ... Setting up libxft2:amd64 (2.3.6-1+b4) ... Setting up libzmq5:amd64 (4.3.5-1+b3) ... Setting up libdebuginfod-common (0.192-4) ... Setting up libtirpc3t64:amd64 (1.3.6+ds-1) ... Setting up python-pandas-doc (2.2.3+dfsg-9) ... Setting up python3.13 (3.13.7-1) ... Setting up po-debconf (1.0.21+nmu1) ... Setting up libtk8.6:amd64 (8.6.17-1) ... Setting up libpango-1.0-0:amd64 (1.56.3-1) ... Setting up libpsl5t64:amd64 (0.21.2-1.1+b1) ... Setting up python3 (3.13.5-1) ... Setting up python3-pandocfilters (1.5.1-1) ... Setting up python3-zipp (3.21.0-1) ... Setting up python3-autocommand (2.2.2-3) ... Setting up man-db (2.13.1-1) ... Not building database; man-db/auto-update is not 'true'. Setting up python3-markupsafe (2.1.5-1+b3) ... Setting up python3-webencodings (0.5.1-5) ... Setting up libcairo2:amd64 (1.18.4-1+b1) ... Setting up python3.13-tk (3.13.7-1) ... Setting up python3-platformdirs (4.3.7-1) ... Setting up python3-psutil (7.0.0-2) ... Setting up python3-zopfli (0.2.3.post1-1+b1) ... Setting up python3-fs (2.4.16-7) ... Setting up python3-yapf (0.43.0-1) ... Setting up python3-roman (5.1-1) ... Setting up python3-decorator (5.2.1-2) ... Setting up python3-jinja2 (3.1.6-1) ... Setting up python3-pygments (2.18.0+dfsg-2) ... Setting up python3-packaging (25.0-1) ... Setting up python3-chardet (5.2.0+dfsg-2) ... Setting up python3-wcwidth (0.2.13+dfsg1-1) ... Setting up python3-pyproject-hooks (1.2.0-1) ... Setting up python3-pyparsing (3.1.2-1) ... Setting up python3-certifi (2025.1.31+ds-1) ... Setting up python3-typeshed (0.0~git20241223.ea91db2-3) ... Setting up librtmp1:amd64 (2.4+20151223.gitfa8646d.1-3) ... Setting up python3-snowballstemmer (3.0.1-1) ... Setting up python3-nest-asyncio (1.5.4-1) ... Setting up python3-brotli (1.1.0-2+b7) ... Setting up libraqm0:amd64 (0.10.3-1) ... Setting up libpython3.13-dev:amd64 (3.13.7-1) ... Setting up sphinx-common (8.2.3-2) ... Setting up python-scipy-doc (1.15.3-1) ... Setting up python3-cycler (0.12.1-2) ... Setting up libxt6t64:amd64 (1:1.2.1-1.2+b2) ... Setting up python3-kiwisolver (1.4.7-3+b1) ... Setting up python3-idna (3.10-1) ... Setting up cython3 (3.0.11+dfsg-2+b1) ... Setting up python3-typing-extensions (4.14.1-1) ... Setting up python3-html5lib (1.2-2) ... Setting up python3-numpy (1:2.2.4+ds-1) ... Setting up python3-pickleshare (0.7.5-5) ... Setting up python3-installer (0.7.0+dfsg1-3) ... Setting up python3-urllib3 (2.5.0-1) ... Setting up python3-pluggy (1.6.0-1) ... Setting up python3-rpds-py (0.21.0-2+b1) ... Setting up python3-fastjsonschema (2.21.1-1) ... Setting up libumfpack6:amd64 (1:7.11.0+dfsg-1) ... Setting up python3-lxml:amd64 (5.4.0-1+b1) ... Setting up python3-traitlets (5.14.3+really5.14.3-1) ... Setting up python3-roman-numerals (3.1.0-2) ... Setting up python3-dateutil (2.9.0-4) ... Setting up python3-contourpy (1.3.1-2) ... Setting up libpangoft2-1.0-0:amd64 (1.56.3-1) ... Setting up python3-mpmath (1.3.0-1) ... Setting up python3-tzlocal (5.3.1-1) ... Setting up python3-simplegeneric (0.8.1-5) ... Setting up python3-mistune (3.1.3-1) ... Setting up python3-soupsieve (2.7-2) ... Setting up python3-jupyter-core (5.7.2-5) ... Setting up libngtcp2-crypto-gnutls8:amd64 (1.11.0-1) ... Setting up python3-cffi-backend:amd64 (2.0.0~b1-1) ... Setting up libpangocairo-1.0-0:amd64 (1.56.3-1) ... Setting up python3-imagesize (1.4.1-1) ... Setting up python3-ptyprocess (0.7.0-6) ... Setting up python3-prompt-toolkit (3.0.51-4) ... Setting up dh-python (6.20250414) ... Setting up python3-more-itertools (10.7.0-1) ... Setting up python3-iniconfig (1.1.1-2) ... Setting up python3-sympy (1.14.0-2) ... Setting up python3-attr (25.3.0-1) ... Setting up python3-tornado (6.4.2-3) ... Setting up python3-pure-eval (0.2.3-1) ... Setting up tk8.6-blt2.5 (2.5.3+dfsg-8) ... Setting up python3-send2trash (1.8.3-1) ... Setting up python3-tinycss2 (1.4.0-2) ... Setting up python3-scipy (1.15.3-1) ... Setting up libpython3-dev:amd64 (3.13.5-1) ... Setting up python3-jaraco.functools (4.1.0-1) ... Setting up python3-py (1.11.0-5) ... Setting up python3-jaraco.context (6.0.1-1) ... Setting up libcurl4t64:amd64 (8.15.0-1) ... Setting up python3-joblib (1.4.2-5) ... Setting up python3-parso (0.8.4-1) ... Setting up python3-cvxopt (1.3.0+dfsg-1+b9) ... Setting up python3-babel (2.17.0-1) ... update-alternatives: using /usr/bin/pybabel-python3 to provide /usr/bin/pybabel (pybabel) in auto mode Setting up python3-colorama (0.4.6-4) ... Setting up python3-lz4 (4.4.4+dfsg-1) ... Setting up python3-defusedxml (0.7.1-3) ... Setting up python3-ipython-genutils (0.2.0-7) ... Setting up python3-asttokens (3.0.0-2) ... Setting up python3-charset-normalizer (3.4.3-1) ... Setting up python3.13-dev (3.13.7-1) ... Setting up python3-pytest (8.3.5-2) ... Setting up python3-alabaster (0.7.16-0.1) ... Setting up blt (2.5.3+dfsg-8) ... Setting up python3-pandas-lib:amd64 (2.2.3+dfsg-9) ... Setting up python3-ply (3.11-9) ... Setting up python3-typeguard (4.4.4-1) ... Setting up libcurl3t64-gnutls:amd64 (8.15.0-1) ... Setting up python3-all (3.13.5-1) ... Setting up python3-coverage (7.8.2+dfsg1-1) ... Setting up python3-yaml (6.0.2-2) ... Setting up python3-tk:amd64 (3.13.5-1) ... Setting up debhelper (13.26) ... Setting up python3-pytz (2025.2-3) ... Setting up python3-wheel (0.46.1-2) ... Setting up python3-bs4 (4.13.4-4) ... Setting up python3-pycparser (2.22-2) ... Setting up python3-bleach (6.2.0-1) ... Setting up python3-matplotlib-inline (0.1.7-1) ... Setting up python3-comm (0.2.1-1) ... Setting up python3-jupyterlab-pygments (0.2.2-3) ... Setting up python3-pytest-forked (1.6.0-3) ... Setting up python3-patsy (1.0.1-1) ... Setting up python3-pil:amd64 (11.1.0-5+b1) ... Setting up python3-inflect (7.3.1-2) ... Setting up python3-prometheus-client (0.21.1+ds1-1) ... Setting up python3-pandas (2.2.3+dfsg-9) ... Setting up python3-pil.imagetk:amd64 (11.1.0-5+b1) ... Setting up python3-executing (2.2.0-0.3) ... Setting up libpython3-all-dev:amd64 (3.13.5-1) ... Setting up python3-jaraco.text (4.0.0-1) ... Setting up python3-pexpect (4.9-3) ... Setting up python3-zmq (26.4.0-1) ... Setting up python3-dev (3.13.5-1) ... Setting up python3-requests (2.32.4+dfsg-1) ... Setting up r-base-core (4.5.1-1) ... Creating config file /etc/R/Renviron with new version Setting up r-cran-lattice (0.22-7-1) ... Setting up r-cran-nlme (3.1.168-1) ... Setting up python3-terminado (0.18.1-1) ... Setting up python3-rpy2 (3.5.17-2) ... Setting up r-cran-statmod (1.5.0-1) ... Setting up python3-jupyter-client (8.6.3-2) ... Setting up r-cran-r6 (2.6.1-1) ... Setting up r-cran-pkgkitten (0.2.4-1) ... Setting up python3-build (1.2.2-4) ... Setting up python3-stack-data (0.6.3-1) ... Setting up r-cran-magrittr (2.0.3-1) ... Setting up python3-referencing (0.36.2-1) ... Setting up r-cran-littler (0.3.21-1) ... Setting up python3-pkg-resources (78.1.1-0.1) ... Setting up python3-all-dev (3.13.5-1) ... Setting up r-cran-rcpp (1.1.0-1) ... Setting up r-cran-nloptr (2.2.1-2) ... Setting up r-cran-boot (1.3-31-1) ... Setting up libdebuginfod1t64:amd64 (0.192-4) ... Setting up r-cran-rlang (1.1.5-3) ... Setting up littler (0.3.21-1) ... Setting up python3-setuptools (78.1.1-0.1) ... Setting up python3-jedi (0.19.1+ds1-1) ... Setting up r-cran-deoptimr (1.1-4-1) ... Setting up r-cran-withr (3.0.2+dfsg-1) ... Setting up r-cran-backports (1.5.0-2) ... Setting up pybuild-plugin-pyproject (6.20250414) ... Setting up r-cran-generics (0.1.3-1) ... Setting up python3-cffi (2.0.0~b1-1) ... Setting up r-cran-fansi (1.0.6-2) ... Setting up r-cran-cardata (3.0.5-1) ... Setting up r-cran-mass (7.3-65-1) ... Setting up r-cran-glue (1.8.0-1) ... Setting up r-cran-cli (3.6.4-1) ... Setting up r-cran-rbibutils (2.3-1) ... Setting up r-cran-lifecycle (1.0.4+dfsg-1) ... Setting up python3-setuptools-scm (8.2.1-2) ... Setting up r-cran-pkgconfig (2.0.3-2) ... Setting up r-cran-sp (1:2.2-0+dfsg-1) ... Setting up r-cran-utf8 (1.2.4-1) ... Setting up gdb (16.3-4) ... Setting up r-cran-colorspace (2.1-1+dfsg-1) ... Setting up r-cran-stringi (1.8.4-1+b1) ... Setting up python3-ipython (8.35.0-1) ... Setting up r-cran-cpp11 (0.5.2-1) ... Setting up r-cran-zoo (1.8-14-1) ... Setting up r-cran-guerry (1.8.3-1) ... Setting up r-cran-matrix (1.7-3-1) ... Setting up python3-argon2-cffi-bindings (25.1.0-2) ... Setting up r-cran-robustbase (0.99-4-1-1) ... Setting up r-cran-lmtest (0.9.40-1) ... Setting up python3-argon2 (25.1.0-2) ... Setting up python3-jsonschema-specifications (2023.12.1-2) ... Setting up r-cran-vctrs (0.6.5-1) ... Setting up r-cran-rcppeigen (0.3.4.0.2-1) ... Setting up r-cran-pillar (1.10.1+dfsg-1) ... Setting up r-cran-minqa (1.2.8-1) ... Setting up r-cran-stringr (1.5.1-1) ... Setting up r-cran-tibble (3.2.1+dfsg-3) ... Setting up r-cran-rdpack (2.6.3-1) ... Setting up python3-debugpy (1.8.12+ds-1) ... Setting up r-cran-vcd (1:1.4-13-1) ... Setting up r-cran-tidyselect (1.2.1+dfsg-1) ... Setting up python3-jsonschema (4.19.2-6) ... Setting up python3-ipykernel (6.30.1-1) ... Setting up r-cran-purrr (1.0.4-1) ... Setting up r-cran-dplyr (1.1.4-4) ... Setting up r-cran-reformulas (0.4.1-1) ... Setting up python3-nbformat (5.9.1-1) ... Setting up python3-nbclient (0.8.0-3) ... Setting up r-cran-lme4 (1.1-37-1) ... Setting up r-cran-tidyr (1.3.1-1) ... Setting up python3-nbconvert (7.16.6-1) ... Setting up python3-notebook (6.4.13-5) ... Setting up r-cran-broom (1.0.7+dfsg-1) ... Setting up r-cran-geepack (1.3.12-1) ... Setting up python3-fonttools (4.57.0-1) ... Setting up python3-ufolib2 (0.17.1+dfsg1-1) ... Setting up python3-matplotlib (3.10.1+dfsg1-4) ... Setting up python3-seaborn (0.13.2-5) ... Processing triggers for libc-bin (2.41-12) ... Processing triggers for sgml-base (1.31+nmu1) ... Setting up docutils-common (0.21.2+dfsg-2) ... Processing triggers for sgml-base (1.31+nmu1) ... Setting up python3-docutils (0.21.2+dfsg-2) ... Setting up python3-sphinx (8.2.3-2) ... Setting up python3-nbsphinx (0.9.5+ds-1) ... Setting up python3-numpydoc (1.9.0-1) ... Processing triggers for ca-certificates (20250419) ... Updating certificates in /etc/ssl/certs... 0 added, 0 removed; done. Running hooks in /etc/ca-certificates/update.d... done. Reading package lists... Building dependency tree... Reading state information... Reading extended state information... Initializing package states... Writing extended state information... Building tag database... -> Finished parsing the build-deps I: Building the package I: user script /srv/workspace/pbuilder/838649/tmp/hooks/A99_set_merged_usr starting Not re-configuring usrmerge for forky I: user script /srv/workspace/pbuilder/838649/tmp/hooks/A99_set_merged_usr finished hostname: Name or service not known I: Running cd /build/reproducible-path/statsmodels-0.14.5+dfsg/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-genchanges -S > ../statsmodels_0.14.5+dfsg-1_source.changes dpkg-buildpackage: info: source package statsmodels dpkg-buildpackage: info: source version 0.14.5+dfsg-1 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Rebecca N. Palmer dpkg-source --before-build . dpkg-buildpackage: info: host architecture amd64 debian/rules clean dh clean --buildsystem=pybuild debian/rules override_dh_auto_clean make[1]: Entering directory '/build/reproducible-path/statsmodels-0.14.5+dfsg' # dh_auto_clean would try to run setup.py clean, which fails with a message saying to use git clean instead # we can't do that because the buildds don't get a git repo rm -rf cythonize.dat \ *.egg-info \ *.png \ .pybuild \ .pytest_cache \ build \ docs/build/ \ docs/rehab.table \ docs/salary.table \ docs/source/datasets/generated \ docs/source/examples/notebooks \ docs/source/savefig \ docs/source/dev/generated \ docs/source/datasets/statsmodels.datasets.*.rst \ docs/source/examples/notebooks/generated \ docs/source/examples/index.rst \ examples/executed \ tools/hash_dict.pickle find . -name __pycache__ -print0 | xargs -0 rm -rf find . -name *.pyx -print0 | sed -e "s/\.pyx/.c/g" | xargs -0 rm -f find . -name *.pyx.in -print0 | sed -e "s/\.pyx\.in/.pyx/g" | xargs -0 rm -f : # Remove autogenerated version.py rm -f statsmodels/version.py statsmodels/_version.py docs/source/examples/index.rst make[1]: Leaving directory '/build/reproducible-path/statsmodels-0.14.5+dfsg' dh_autoreconf_clean -O--buildsystem=pybuild dh_clean -O--buildsystem=pybuild debian/rules binary dh binary --buildsystem=pybuild dh_update_autotools_config -O--buildsystem=pybuild dh_autoreconf -O--buildsystem=pybuild dh_auto_configure -O--buildsystem=pybuild debian/rules execute_before_dh_auto_build make[1]: Entering directory '/build/reproducible-path/statsmodels-0.14.5+dfsg' mkdir -p /build/reproducible-path/statsmodels-0.14.5+dfsg/build : # Hardcode backend to Agg to avoid doc build and tests failures echo "backend : Agg" >| /build/reproducible-path/statsmodels-0.14.5+dfsg/build/matplotlibrc make[1]: Leaving directory '/build/reproducible-path/statsmodels-0.14.5+dfsg' dh_auto_build -O--buildsystem=pybuild I: pybuild plugin_pyproject:129: Building wheel for python3.13 with "build" module I: pybuild base:311: python3.13 -m build --skip-dependency-check --no-isolation --wheel --outdir /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels * Building wheel... warning: statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx:558:14: Unreachable code warning: statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx:1136:14: Unreachable code warning: statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx:1714:14: Unreachable code warning: statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx:2292:14: Unreachable code Compiling statsmodels/tsa/stl/_stl.pyx because it changed. Compiling statsmodels/tsa/holtwinters/_exponential_smoothers.pyx because it changed. Compiling statsmodels/tsa/exponential_smoothing/_ets_smooth.pyx because it changed. Compiling statsmodels/tsa/_innovations.pyx because it changed. Compiling statsmodels/tsa/regime_switching/_hamilton_filter.pyx because it changed. Compiling statsmodels/tsa/regime_switching/_kim_smoother.pyx because it changed. Compiling statsmodels/tsa/innovations/_arma_innovations.pyx because it changed. Compiling statsmodels/nonparametric/linbin.pyx because it changed. Compiling statsmodels/robust/_qn.pyx because it changed. Compiling statsmodels/nonparametric/_smoothers_lowess.pyx because it changed. Compiling statsmodels/tsa/statespace/_initialization.pyx because it changed. Compiling statsmodels/tsa/statespace/_representation.pyx because it changed. Compiling statsmodels/tsa/statespace/_kalman_filter.pyx because it changed. Compiling statsmodels/tsa/statespace/_filters/_conventional.pyx because it changed. Compiling statsmodels/tsa/statespace/_filters/_inversions.pyx because it changed. Compiling statsmodels/tsa/statespace/_filters/_univariate.pyx because it changed. Compiling statsmodels/tsa/statespace/_filters/_univariate_diffuse.pyx because it changed. Compiling statsmodels/tsa/statespace/_kalman_smoother.pyx because it changed. Compiling statsmodels/tsa/statespace/_smoothers/_alternative.pyx because it changed. Compiling statsmodels/tsa/statespace/_smoothers/_classical.pyx because it changed. Compiling statsmodels/tsa/statespace/_smoothers/_conventional.pyx because it changed. Compiling statsmodels/tsa/statespace/_smoothers/_univariate.pyx because it changed. Compiling statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx because it changed. Compiling statsmodels/tsa/statespace/_simulation_smoother.pyx because it changed. Compiling statsmodels/tsa/statespace/_cfa_simulation_smoother.pyx because it changed. Compiling statsmodels/tsa/statespace/_tools.pyx because it changed. [ 1/26] Cythonizing statsmodels/nonparametric/_smoothers_lowess.pyx [ 2/26] Cythonizing statsmodels/nonparametric/linbin.pyx [ 3/26] Cythonizing statsmodels/robust/_qn.pyx [ 4/26] Cythonizing statsmodels/tsa/_innovations.pyx [ 5/26] Cythonizing statsmodels/tsa/exponential_smoothing/_ets_smooth.pyx [ 6/26] Cythonizing statsmodels/tsa/holtwinters/_exponential_smoothers.pyx [ 7/26] Cythonizing statsmodels/tsa/innovations/_arma_innovations.pyx [ 8/26] Cythonizing statsmodels/tsa/regime_switching/_hamilton_filter.pyx [ 9/26] Cythonizing statsmodels/tsa/regime_switching/_kim_smoother.pyx [10/26] Cythonizing statsmodels/tsa/statespace/_cfa_simulation_smoother.pyx [11/26] Cythonizing statsmodels/tsa/statespace/_filters/_conventional.pyx [12/26] Cythonizing statsmodels/tsa/statespace/_filters/_inversions.pyx [13/26] Cythonizing statsmodels/tsa/statespace/_filters/_univariate.pyx [14/26] Cythonizing statsmodels/tsa/statespace/_filters/_univariate_diffuse.pyx [15/26] Cythonizing statsmodels/tsa/statespace/_initialization.pyx [16/26] Cythonizing statsmodels/tsa/statespace/_kalman_filter.pyx [17/26] Cythonizing statsmodels/tsa/statespace/_kalman_smoother.pyx [18/26] Cythonizing statsmodels/tsa/statespace/_representation.pyx [19/26] Cythonizing statsmodels/tsa/statespace/_simulation_smoother.pyx [20/26] Cythonizing statsmodels/tsa/statespace/_smoothers/_alternative.pyx [21/26] Cythonizing statsmodels/tsa/statespace/_smoothers/_classical.pyx [22/26] Cythonizing statsmodels/tsa/statespace/_smoothers/_conventional.pyx [23/26] Cythonizing statsmodels/tsa/statespace/_smoothers/_univariate.pyx [24/26] Cythonizing statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx [25/26] Cythonizing statsmodels/tsa/statespace/_tools.pyx [26/26] Cythonizing statsmodels/tsa/stl/_stl.pyx /usr/lib/python3/dist-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. !! ******************************************************************************** Please consider removing the following classifiers in favor of a SPDX license expression: License :: OSI Approved :: BSD License See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. ******************************************************************************** !! self._finalize_license_expression() running bdist_wheel running build running build_py creating build/lib.linux-x86_64-cpython-313/statsmodels copying statsmodels/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels copying statsmodels/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels copying statsmodels/_version.py -> build/lib.linux-x86_64-cpython-313/statsmodels copying statsmodels/conftest.py -> build/lib.linux-x86_64-cpython-313/statsmodels creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets copying statsmodels/datasets/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets copying statsmodels/datasets/utils.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets copying statsmodels/datasets/template_data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets creating build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric copying statsmodels/nonparametric/kde.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric copying statsmodels/nonparametric/bandwidths.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric copying statsmodels/nonparametric/kdetools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric copying statsmodels/nonparametric/_kernel_base.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric copying statsmodels/nonparametric/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric copying statsmodels/nonparametric/kernel_regression.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric copying statsmodels/nonparametric/smoothers_lowess.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric copying statsmodels/nonparametric/kernels_asymmetric.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric copying statsmodels/nonparametric/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric copying statsmodels/nonparametric/smoothers_lowess_old.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric copying statsmodels/nonparametric/kernels.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric copying statsmodels/nonparametric/kernel_density.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox copying statsmodels/sandbox/infotheo.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox copying statsmodels/sandbox/multilinear.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox copying statsmodels/sandbox/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox copying statsmodels/sandbox/gam.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox copying statsmodels/sandbox/mle.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox copying statsmodels/sandbox/bspline.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox copying statsmodels/sandbox/pca.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox copying statsmodels/sandbox/sysreg.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox copying statsmodels/sandbox/predict_functional.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox copying statsmodels/sandbox/descstats.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox copying statsmodels/sandbox/rls.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa copying statsmodels/tsa/adfvalues.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa copying statsmodels/tsa/tsatools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa copying statsmodels/tsa/x13.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa copying statsmodels/tsa/seasonal.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa copying statsmodels/tsa/arima_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa copying statsmodels/tsa/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa copying statsmodels/tsa/mlemodel.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa copying statsmodels/tsa/varma_process.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa copying statsmodels/tsa/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa copying statsmodels/tsa/descriptivestats.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa copying statsmodels/tsa/coint_tables.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa copying statsmodels/tsa/arma_mle.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa copying statsmodels/tsa/arima_process.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa copying statsmodels/tsa/stattools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa copying statsmodels/tsa/ar_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa copying statsmodels/tsa/deterministic.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa copying statsmodels/tsa/_bds.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa creating build/lib.linux-x86_64-cpython-313/statsmodels/distributions copying statsmodels/distributions/mixture_rvs.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions copying statsmodels/distributions/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions copying statsmodels/distributions/edgeworth.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions copying statsmodels/distributions/discrete.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions copying statsmodels/distributions/empirical_distribution.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions copying statsmodels/distributions/bernstein.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions copying statsmodels/distributions/tools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions creating build/lib.linux-x86_64-cpython-313/statsmodels/interface copying statsmodels/interface/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/interface creating build/lib.linux-x86_64-cpython-313/statsmodels/othermod copying statsmodels/othermod/betareg.py -> build/lib.linux-x86_64-cpython-313/statsmodels/othermod copying statsmodels/othermod/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/othermod copying statsmodels/othermod/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/othermod creating build/lib.linux-x86_64-cpython-313/statsmodels/imputation copying statsmodels/imputation/mice.py -> build/lib.linux-x86_64-cpython-313/statsmodels/imputation copying statsmodels/imputation/ros.py -> build/lib.linux-x86_64-cpython-313/statsmodels/imputation copying statsmodels/imputation/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/imputation copying statsmodels/imputation/bayes_mi.py -> build/lib.linux-x86_64-cpython-313/statsmodels/imputation creating build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/sm_exceptions.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/_test_runner.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/rng_qrng.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/grouputils.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/docstring.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/decorators.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/testing.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/numdiff.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/parallel.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/_testing.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/eval_measures.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/linalg.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/print_version.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/catadd.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/typing.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/rootfinding.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/sequences.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/web.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/transform_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools copying statsmodels/tools/tools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools creating build/lib.linux-x86_64-cpython-313/statsmodels/genmod copying statsmodels/genmod/cov_struct.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod copying statsmodels/genmod/bayes_mixed_glm.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod copying statsmodels/genmod/_tweedie_compound_poisson.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod copying statsmodels/genmod/generalized_estimating_equations.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod copying statsmodels/genmod/qif.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod copying statsmodels/genmod/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod copying statsmodels/genmod/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod copying statsmodels/genmod/generalized_linear_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod creating build/lib.linux-x86_64-cpython-313/statsmodels/duration copying statsmodels/duration/hazard_regression.py -> build/lib.linux-x86_64-cpython-313/statsmodels/duration copying statsmodels/duration/_kernel_estimates.py -> build/lib.linux-x86_64-cpython-313/statsmodels/duration copying statsmodels/duration/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/duration copying statsmodels/duration/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/duration copying statsmodels/duration/survfunc.py -> build/lib.linux-x86_64-cpython-313/statsmodels/duration creating build/lib.linux-x86_64-cpython-313/statsmodels/emplike copying statsmodels/emplike/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/emplike copying statsmodels/emplike/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/emplike copying statsmodels/emplike/originregress.py -> build/lib.linux-x86_64-cpython-313/statsmodels/emplike copying statsmodels/emplike/elanova.py -> build/lib.linux-x86_64-cpython-313/statsmodels/emplike copying statsmodels/emplike/descriptive.py -> build/lib.linux-x86_64-cpython-313/statsmodels/emplike copying statsmodels/emplike/aft_el.py -> build/lib.linux-x86_64-cpython-313/statsmodels/emplike copying statsmodels/emplike/elregress.py -> build/lib.linux-x86_64-cpython-313/statsmodels/emplike creating build/lib.linux-x86_64-cpython-313/statsmodels/treatment copying statsmodels/treatment/treatment_effects.py -> build/lib.linux-x86_64-cpython-313/statsmodels/treatment copying statsmodels/treatment/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/treatment creating build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/_constraints.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/covtype.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/optimizer.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/_prediction_inference.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/transform.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/elastic_net.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/distributed_estimation.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/l1_cvxopt.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/wrapper.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/_parameter_inference.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/_screening.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/_penalized.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/l1_solvers_common.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/_penalties.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base copying statsmodels/base/l1_slsqp.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base creating build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/weightstats.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/meta_analysis.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/_lilliefors_critical_values.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/base.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/contrast.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/robust_compare.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/multitest.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/multicomp.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/correlation_tools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/inter_rater.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/tabledist.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/power.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/dist_dependence_measures.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/_lilliefors.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/oaxaca.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/mediation.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/diagnostic.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/moment_helpers.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/contingency_tables.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/_adnorm.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/descriptivestats.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/multivariate_tools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/anova.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/multivariate.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/oneway.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/regularized_covariance.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/stattools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/knockoff_regeffects.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/proportion.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/nonparametric.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/rates.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/gof.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/_inference_tools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/_knockoff.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/effect_size.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/_delta_method.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/diagnostic_gen.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/sandwich_covariance.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/_diagnostic_other.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats copying statsmodels/stats/outliers_influence.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats creating build/lib.linux-x86_64-cpython-313/statsmodels/tests copying statsmodels/tests/test_x13.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tests copying statsmodels/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tests copying statsmodels/tests/test_package.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/compat copying statsmodels/compat/platform.py -> build/lib.linux-x86_64-cpython-313/statsmodels/compat copying statsmodels/compat/_scipy_multivariate_t.py -> build/lib.linux-x86_64-cpython-313/statsmodels/compat copying statsmodels/compat/patsy.py -> build/lib.linux-x86_64-cpython-313/statsmodels/compat copying statsmodels/compat/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/compat copying statsmodels/compat/pandas.py -> build/lib.linux-x86_64-cpython-313/statsmodels/compat copying statsmodels/compat/python.py -> build/lib.linux-x86_64-cpython-313/statsmodels/compat copying statsmodels/compat/scipy.py -> build/lib.linux-x86_64-cpython-313/statsmodels/compat copying statsmodels/compat/numpy.py -> build/lib.linux-x86_64-cpython-313/statsmodels/compat copying statsmodels/compat/pytest.py -> build/lib.linux-x86_64-cpython-313/statsmodels/compat creating build/lib.linux-x86_64-cpython-313/statsmodels/multivariate copying statsmodels/multivariate/factor.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate copying statsmodels/multivariate/multivariate_ols.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate copying statsmodels/multivariate/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate copying statsmodels/multivariate/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate copying statsmodels/multivariate/manova.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate copying statsmodels/multivariate/pca.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate copying statsmodels/multivariate/cancorr.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate copying statsmodels/multivariate/plots.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate creating build/lib.linux-x86_64-cpython-313/statsmodels/gam copying statsmodels/gam/generalized_additive_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/gam copying statsmodels/gam/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/gam copying statsmodels/gam/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/gam copying statsmodels/gam/gam_penalties.py -> build/lib.linux-x86_64-cpython-313/statsmodels/gam copying statsmodels/gam/smooth_basis.py -> build/lib.linux-x86_64-cpython-313/statsmodels/gam creating build/lib.linux-x86_64-cpython-313/statsmodels/formula copying statsmodels/formula/formulatools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/formula copying statsmodels/formula/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/formula copying statsmodels/formula/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/formula creating build/lib.linux-x86_64-cpython-313/statsmodels/graphics copying statsmodels/graphics/_regressionplots_doc.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics copying statsmodels/graphics/plottools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics copying statsmodels/graphics/gofplots.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics copying statsmodels/graphics/functional.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics copying statsmodels/graphics/dotplots.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics copying statsmodels/graphics/tsaplots.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics copying statsmodels/graphics/factorplots.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics copying statsmodels/graphics/plot_grids.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics copying statsmodels/graphics/tukeyplot.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics copying statsmodels/graphics/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics copying statsmodels/graphics/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics copying statsmodels/graphics/mosaicplot.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics copying statsmodels/graphics/correlation.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics copying statsmodels/graphics/boxplots.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics copying statsmodels/graphics/agreement.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics copying statsmodels/graphics/utils.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics copying statsmodels/graphics/regressionplots.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics creating build/lib.linux-x86_64-cpython-313/statsmodels/regression copying statsmodels/regression/dimred.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression copying statsmodels/regression/recursive_ls.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression copying statsmodels/regression/_prediction.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression copying statsmodels/regression/rolling.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression copying statsmodels/regression/mixed_linear_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression copying statsmodels/regression/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression copying statsmodels/regression/feasible_gls.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression copying statsmodels/regression/linear_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression copying statsmodels/regression/process_regression.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression copying statsmodels/regression/quantile_regression.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression copying statsmodels/regression/_tools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression creating build/lib.linux-x86_64-cpython-313/statsmodels/iolib copying statsmodels/iolib/stata_summary_examples.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib copying statsmodels/iolib/foreign.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib copying statsmodels/iolib/table.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib copying statsmodels/iolib/summary2.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib copying statsmodels/iolib/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib copying statsmodels/iolib/smpickle.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib copying statsmodels/iolib/tableformatting.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib copying statsmodels/iolib/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib copying statsmodels/iolib/summary.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib copying statsmodels/iolib/openfile.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib creating build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels copying statsmodels/miscmodels/count.py -> build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels copying statsmodels/miscmodels/ordinal_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels copying statsmodels/miscmodels/try_mlecov.py -> build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels copying statsmodels/miscmodels/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels copying statsmodels/miscmodels/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels copying statsmodels/miscmodels/tmodel.py -> build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels copying statsmodels/miscmodels/nonlinls.py -> build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels creating build/lib.linux-x86_64-cpython-313/statsmodels/src copying statsmodels/src/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/src creating build/lib.linux-x86_64-cpython-313/statsmodels/robust copying statsmodels/robust/norms.py -> build/lib.linux-x86_64-cpython-313/statsmodels/robust copying statsmodels/robust/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/robust copying statsmodels/robust/robust_linear_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/robust copying statsmodels/robust/scale.py -> build/lib.linux-x86_64-cpython-313/statsmodels/robust creating build/lib.linux-x86_64-cpython-313/statsmodels/discrete copying statsmodels/discrete/_diagnostics_count.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete copying statsmodels/discrete/conditional_models.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete copying statsmodels/discrete/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete copying statsmodels/discrete/diagnostic.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete copying statsmodels/discrete/truncated_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete copying statsmodels/discrete/discrete_margins.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete copying statsmodels/discrete/discrete_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete copying statsmodels/discrete/count_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/randhie copying statsmodels/datasets/randhie/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/randhie copying statsmodels/datasets/randhie/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/randhie creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/anes96 copying statsmodels/datasets/anes96/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/anes96 copying statsmodels/datasets/anes96/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/anes96 creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/committee copying statsmodels/datasets/committee/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/committee copying statsmodels/datasets/committee/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/committee creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/fair copying statsmodels/datasets/fair/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/fair copying statsmodels/datasets/fair/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/fair creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/cpunish copying statsmodels/datasets/cpunish/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/cpunish copying statsmodels/datasets/cpunish/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/cpunish creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/elec_equip copying statsmodels/datasets/elec_equip/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/elec_equip copying statsmodels/datasets/elec_equip/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/elec_equip creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/copper copying statsmodels/datasets/copper/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/copper copying statsmodels/datasets/copper/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/copper creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/ccard copying statsmodels/datasets/ccard/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/ccard copying statsmodels/datasets/ccard/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/ccard creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/engel copying statsmodels/datasets/engel/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/engel copying statsmodels/datasets/engel/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/engel creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/statecrime copying statsmodels/datasets/statecrime/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/statecrime copying statsmodels/datasets/statecrime/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/statecrime creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/strikes copying statsmodels/datasets/strikes/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/strikes copying statsmodels/datasets/strikes/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/strikes creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/interest_inflation copying statsmodels/datasets/interest_inflation/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/interest_inflation copying statsmodels/datasets/interest_inflation/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/interest_inflation creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/star98 copying statsmodels/datasets/star98/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/star98 copying statsmodels/datasets/star98/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/star98 creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/heart copying statsmodels/datasets/heart/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/heart copying statsmodels/datasets/heart/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/heart creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/co2 copying statsmodels/datasets/co2/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/co2 copying statsmodels/datasets/co2/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/co2 creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/tests copying statsmodels/datasets/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/tests copying statsmodels/datasets/tests/test_data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/tests copying statsmodels/datasets/tests/test_utils.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/stackloss copying statsmodels/datasets/stackloss/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/stackloss copying statsmodels/datasets/stackloss/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/stackloss creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/fertility copying statsmodels/datasets/fertility/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/fertility copying statsmodels/datasets/fertility/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/fertility creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/spector copying statsmodels/datasets/spector/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/spector copying statsmodels/datasets/spector/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/spector creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/modechoice copying statsmodels/datasets/modechoice/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/modechoice copying statsmodels/datasets/modechoice/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/modechoice creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/elnino copying statsmodels/datasets/elnino/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/elnino copying statsmodels/datasets/elnino/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/elnino creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/danish_data copying statsmodels/datasets/danish_data/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/danish_data copying statsmodels/datasets/danish_data/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/danish_data creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/cancer copying statsmodels/datasets/cancer/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/cancer copying statsmodels/datasets/cancer/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/cancer creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/grunfeld copying statsmodels/datasets/grunfeld/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/grunfeld copying statsmodels/datasets/grunfeld/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/grunfeld creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/scotland copying statsmodels/datasets/scotland/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/scotland copying statsmodels/datasets/scotland/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/scotland creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/longley copying statsmodels/datasets/longley/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/longley copying statsmodels/datasets/longley/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/longley creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/china_smoking copying statsmodels/datasets/china_smoking/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/china_smoking copying statsmodels/datasets/china_smoking/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/china_smoking creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/sunspots copying statsmodels/datasets/sunspots/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/sunspots copying statsmodels/datasets/sunspots/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/sunspots creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/nile copying statsmodels/datasets/nile/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/nile copying statsmodels/datasets/nile/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/nile creating build/lib.linux-x86_64-cpython-313/statsmodels/datasets/macrodata copying statsmodels/datasets/macrodata/data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/macrodata copying statsmodels/datasets/macrodata/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/macrodata creating build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/test_lowess.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/test_kernel_density.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/test_asymmetric.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/test_kde.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/test_bandwidths.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/test_kernel_regression.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests copying statsmodels/nonparametric/tests/test_kernels.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/densityorthopoly.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/smoothers.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/kernel_extras.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/kdecovclass.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/kernels.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/dgp_examples.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/kde2.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric copying statsmodels/sandbox/nonparametric/testdata.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/try_var_convolve.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/try_arma_more.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/diffusion2.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/try_fi.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/fftarma.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/movstat.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/example_arma.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/varma.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa copying statsmodels/sandbox/tsa/diffusion.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/quantize.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/sppatch.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/try_pot.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/mv_normal.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/estimators.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/try_max.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/extras.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/otherdist.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/transform_functions.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/gof_new.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/multivariate.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/transformed.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/genpareto.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions copying statsmodels/sandbox/distributions/mv_measures.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/panelmod.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/mixed.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/panel_short.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/sandwich_covariance_generic.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/correlation_structures.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel copying statsmodels/sandbox/panel/random_panel.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tools copying statsmodels/sandbox/tools/cross_val.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tools copying statsmodels/sandbox/tools/try_mctools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tools copying statsmodels/sandbox/tools/mctools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tools copying statsmodels/sandbox/tools/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tools copying statsmodels/sandbox/tools/tools_pca.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tools creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/datarich copying statsmodels/sandbox/datarich/factormodels.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/datarich copying statsmodels/sandbox/datarich/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/datarich creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/mcevaluate copying statsmodels/sandbox/mcevaluate/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/mcevaluate copying statsmodels/sandbox/mcevaluate/arma.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/mcevaluate creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/multicomp.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/ex_newtests.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/stats_mstats_short.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/diagnostic.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/stats_dhuard.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/contrast_tools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats copying statsmodels/sandbox/stats/runs.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/maketests_mlabwrap.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/savervs.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/test_pca.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/test_predict_functional.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tests copying statsmodels/sandbox/tests/test_gam.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/archive copying statsmodels/sandbox/archive/linalg_covmat.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/archive copying statsmodels/sandbox/archive/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/archive copying statsmodels/sandbox/archive/linalg_decomp_1.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/archive copying statsmodels/sandbox/archive/tsa.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/archive creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/anova_nistcertified.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/treewalkerclass.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/penalized.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/runmnl.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/try_ols_anova.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/gmm.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/kernridgeregress_class.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/sympy_diff.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/example_kernridge.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/predstd.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/try_catdata.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/onewaygls.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/try_treewalker.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/ar_panel.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/ols_anova_original.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression copying statsmodels/sandbox/regression/tools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/ex_gam_am_new.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/ex_gam_new.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/test_smoothers.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/ex_smoothers.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/tests copying statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/test_transf.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/_est_fit.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/test_gof_new.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/test_norm_expan.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/test_multivariate.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/check_moments.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/distparams.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests copying statsmodels/sandbox/distributions/tests/test_extras.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/ex_transf2.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/matchdist.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/ex_mvelliptical.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/ex_extras.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/ex_fitfr.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/examples copying statsmodels/sandbox/distributions/examples/ex_gof.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/examples creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel/tests copying statsmodels/sandbox/panel/tests/test_random_panel.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel/tests copying statsmodels/sandbox/panel/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats/tests copying statsmodels/sandbox/stats/tests/test_runs.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats/tests copying statsmodels/sandbox/stats/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats/tests copying statsmodels/sandbox/stats/tests/test_multicomp.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests copying statsmodels/sandbox/regression/tests/test_gmm_poisson.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests copying statsmodels/sandbox/regression/tests/results_ivreg2_griliches.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests copying statsmodels/sandbox/regression/tests/results_gmm_griliches_iter.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests copying statsmodels/sandbox/regression/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests copying statsmodels/sandbox/regression/tests/test_gmm.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests copying statsmodels/sandbox/regression/tests/results_gmm_griliches.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests copying statsmodels/sandbox/regression/tests/results_gmm_poisson.py -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters copying statsmodels/tsa/holtwinters/model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters copying statsmodels/tsa/holtwinters/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters copying statsmodels/tsa/holtwinters/results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters copying statsmodels/tsa/holtwinters/_smoothers.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching copying statsmodels/tsa/regime_switching/markov_regression.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching copying statsmodels/tsa/regime_switching/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching copying statsmodels/tsa/regime_switching/markov_switching.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching copying statsmodels/tsa/regime_switching/markov_autoregression.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/exponential_smoothing copying statsmodels/tsa/exponential_smoothing/base.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/exponential_smoothing copying statsmodels/tsa/exponential_smoothing/ets.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/exponential_smoothing copying statsmodels/tsa/exponential_smoothing/initialization.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/exponential_smoothing copying statsmodels/tsa/exponential_smoothing/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/exponential_smoothing creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima copying statsmodels/tsa/arima/model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima copying statsmodels/tsa/arima/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima copying statsmodels/tsa/arima/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima copying statsmodels/tsa/arima/params.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima copying statsmodels/tsa/arima/specification.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima copying statsmodels/tsa/arima/tools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl copying statsmodels/tsa/ardl/pss_critical_values.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl copying statsmodels/tsa/ardl/model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl copying statsmodels/tsa/ardl/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/innovations copying statsmodels/tsa/innovations/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/innovations copying statsmodels/tsa/innovations/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/innovations copying statsmodels/tsa/innovations/arma_innovations.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/innovations creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters copying statsmodels/tsa/filters/filtertools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters copying statsmodels/tsa/filters/bk_filter.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters copying statsmodels/tsa/filters/hp_filter.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters copying statsmodels/tsa/filters/_utils.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters copying statsmodels/tsa/filters/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters copying statsmodels/tsa/filters/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters copying statsmodels/tsa/filters/cf_filter.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl copying statsmodels/tsa/stl/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl copying statsmodels/tsa/stl/mstl.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/representation.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/dynamic_factor.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/kalman_smoother.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/_pykalman_smoother.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/initialization.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/varmax.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/kalman_filter.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/sarimax.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/_quarterly_ar1.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/mlemodel.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/news.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/cfa_simulation_smoother.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/dynamic_factor_mq.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/structural.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/simulation_smoother.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/tools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace copying statsmodels/tsa/statespace/exponential_smoothing.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base copying statsmodels/tsa/base/datetools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base copying statsmodels/tsa/base/tsa_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base copying statsmodels/tsa/base/prediction.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base copying statsmodels/tsa/base/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/vecm.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/irf.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/output.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/var_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/plotting.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/util.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/hypothesis_test_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar copying statsmodels/tsa/vector_ar/svar_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/forecasting copying statsmodels/tsa/forecasting/theta.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/forecasting copying statsmodels/tsa/forecasting/stl.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/forecasting copying statsmodels/tsa/forecasting/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/forecasting creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_adfuller_lag.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_x13.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_exponential_smoothing.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_seasonal.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_bds.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests copying statsmodels/tsa/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_ar.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_tsa_tools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_deterministic.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_arima_process.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests copying statsmodels/tsa/tests/test_stattools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/interp copying statsmodels/tsa/interp/denton.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/interp copying statsmodels/tsa/interp/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/interp creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/tests copying statsmodels/tsa/holtwinters/tests/test_holtwinters.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/tests copying statsmodels/tsa/holtwinters/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/tests/results copying statsmodels/tsa/holtwinters/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests copying statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests copying statsmodels/tsa/regime_switching/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests copying statsmodels/tsa/regime_switching/tests/test_markov_regression.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests copying statsmodels/tsa/regime_switching/tests/test_markov_switching.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests/results copying statsmodels/tsa/regime_switching/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/datasets copying statsmodels/tsa/arima/datasets/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/datasets creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators copying statsmodels/tsa/arima/estimators/burg.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators copying statsmodels/tsa/arima/estimators/yule_walker.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators copying statsmodels/tsa/arima/estimators/statespace.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators copying statsmodels/tsa/arima/estimators/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators copying statsmodels/tsa/arima/estimators/durbin_levinson.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators copying statsmodels/tsa/arima/estimators/gls.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators copying statsmodels/tsa/arima/estimators/hannan_rissanen.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators copying statsmodels/tsa/arima/estimators/innovations.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/tests copying statsmodels/tsa/arima/tests/test_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/tests copying statsmodels/tsa/arima/tests/test_params.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/tests copying statsmodels/tsa/arima/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/tests copying statsmodels/tsa/arima/tests/test_specification.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/tests copying statsmodels/tsa/arima/tests/test_tools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/datasets/brockwell_davis_2002 copying statsmodels/tsa/arima/datasets/brockwell_davis_2002/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/datasets/brockwell_davis_2002 creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data copying statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/oshorts.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data copying statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data copying statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/sbl.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data copying statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/lake.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data copying statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/dowj.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/tests copying statsmodels/tsa/arima/estimators/tests/test_yule_walker.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/tests copying statsmodels/tsa/arima/estimators/tests/test_gls.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/tests copying statsmodels/tsa/arima/estimators/tests/test_statespace.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/tests copying statsmodels/tsa/arima/estimators/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/tests copying statsmodels/tsa/arima/estimators/tests/test_burg.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/tests copying statsmodels/tsa/arima/estimators/tests/test_innovations.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/tests copying statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/tests copying statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl/tests copying statsmodels/tsa/ardl/tests/test_ardl.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl/tests copying statsmodels/tsa/ardl/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl/_pss_critical_values copying statsmodels/tsa/ardl/_pss_critical_values/pss-process.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl/_pss_critical_values copying statsmodels/tsa/ardl/_pss_critical_values/pss.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl/_pss_critical_values copying statsmodels/tsa/ardl/_pss_critical_values/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl/_pss_critical_values creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/innovations/tests copying statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/innovations/tests copying statsmodels/tsa/innovations/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/innovations/tests copying statsmodels/tsa/innovations/tests/test_arma_innovations.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/innovations/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters/tests copying statsmodels/tsa/filters/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters/tests copying statsmodels/tsa/filters/tests/test_filters.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters/tests/results copying statsmodels/tsa/filters/tests/results/filter_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters/tests/results copying statsmodels/tsa/filters/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests copying statsmodels/tsa/stl/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests copying statsmodels/tsa/stl/tests/test_stl.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests copying statsmodels/tsa/stl/tests/test_mstl.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests/results copying statsmodels/tsa/stl/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers copying statsmodels/tsa/statespace/_smoothers/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_simulation_smoothing.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_news.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_univariate.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_options.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_impulse_responses.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_structural.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_weights.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_representation.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_smoothing.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_decompose.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_pickle.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_save.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_sarimax.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_exponential_smoothing.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_varmax.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_cfa_tvpvar.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_chandrasekhar.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_conserve_memory.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_kalman.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_initialization.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_forecasting.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_collapsed.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_var.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_dynamic_factor.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_concentrated.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/kfas_helpers.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_tools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_models.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_simulate.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_mlemodel.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_fixed_params.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests copying statsmodels/tsa/statespace/tests/test_prediction.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters copying statsmodels/tsa/statespace/_filters/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_varmax.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_structural.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_dynamic_factor.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_var_R.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_kalman_filter.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_var_misc.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_sarimax.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base/tests copying statsmodels/tsa/base/tests/test_base.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base/tests copying statsmodels/tsa/base/tests/test_tsa_indexes.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base/tests copying statsmodels/tsa/base/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base/tests copying statsmodels/tsa/base/tests/test_datetools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base/tests copying statsmodels/tsa/base/tests/test_prediction.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests copying statsmodels/tsa/vector_ar/tests/example_svar.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests copying statsmodels/tsa/vector_ar/tests/test_vecm.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests copying statsmodels/tsa/vector_ar/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests copying statsmodels/tsa/vector_ar/tests/test_var.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests copying statsmodels/tsa/vector_ar/tests/test_coint.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests copying statsmodels/tsa/vector_ar/tests/test_svar.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests copying statsmodels/tsa/vector_ar/tests/test_var_jmulti.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/Matlab_results copying statsmodels/tsa/vector_ar/tests/Matlab_results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/Matlab_results creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/parse_jmulti_vecm_output.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/parse_jmulti_var_output.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/results_svar_st.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/results_var.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/results_svar.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/results_var_data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/forecasting/tests copying statsmodels/tsa/forecasting/tests/test_theta.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/forecasting/tests copying statsmodels/tsa/forecasting/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/forecasting/tests copying statsmodels/tsa/forecasting/tests/test_stl.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/forecasting/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/savedrvs.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima211nc_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima112_css_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima211nc_css_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/make_arma.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima111_css_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arma_acf.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/datamlw_tls.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima112nc_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima112_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arma.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima112nc_css_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima111_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima111nc_css_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima211_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_ar.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_process.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima211_css_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima111nc_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/tsa/interp/tests copying statsmodels/tsa/interp/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/interp/tests copying statsmodels/tsa/interp/tests/test_denton.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/interp/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula copying statsmodels/distributions/copula/transforms.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula copying statsmodels/distributions/copula/archimedean.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula copying statsmodels/distributions/copula/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula copying statsmodels/distributions/copula/copulas.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula copying statsmodels/distributions/copula/api.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula copying statsmodels/distributions/copula/extreme_value.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula copying statsmodels/distributions/copula/depfunc_ev.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula copying statsmodels/distributions/copula/other_copulas.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula copying statsmodels/distributions/copula/_special.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula copying statsmodels/distributions/copula/elliptical.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula creating build/lib.linux-x86_64-cpython-313/statsmodels/distributions/tests copying statsmodels/distributions/tests/test_bernstein.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions/tests copying statsmodels/distributions/tests/test_discrete.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions/tests copying statsmodels/distributions/tests/test_ecdf.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions/tests copying statsmodels/distributions/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions/tests copying statsmodels/distributions/tests/test_mixture.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions/tests copying statsmodels/distributions/tests/test_edgeworth.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions/tests copying statsmodels/distributions/tests/test_tools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/distributions/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/othermod/tests copying statsmodels/othermod/tests/test_beta.py -> build/lib.linux-x86_64-cpython-313/statsmodels/othermod/tests copying statsmodels/othermod/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/othermod/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/othermod/tests/results copying statsmodels/othermod/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/othermod/tests/results copying statsmodels/othermod/tests/results/results_betareg.py -> build/lib.linux-x86_64-cpython-313/statsmodels/othermod/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/imputation/tests copying statsmodels/imputation/tests/test_bayes_mi.py -> build/lib.linux-x86_64-cpython-313/statsmodels/imputation/tests copying statsmodels/imputation/tests/test_mice.py -> build/lib.linux-x86_64-cpython-313/statsmodels/imputation/tests copying statsmodels/imputation/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/imputation/tests copying statsmodels/imputation/tests/test_ros.py -> build/lib.linux-x86_64-cpython-313/statsmodels/imputation/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/tools/validation copying statsmodels/tools/validation/validation.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/validation copying statsmodels/tools/validation/decorators.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/validation copying statsmodels/tools/validation/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/validation creating build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests copying statsmodels/tools/tests/test_parallel.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests copying statsmodels/tools/tests/test_catadd.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests copying statsmodels/tools/tests/test_numdiff.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests copying statsmodels/tools/tests/test_rootfinding.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests copying statsmodels/tools/tests/test_transform_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests copying statsmodels/tools/tests/test_linalg.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests copying statsmodels/tools/tests/test_testing.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests copying statsmodels/tools/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests copying statsmodels/tools/tests/test_web.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests copying statsmodels/tools/tests/test_data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests copying statsmodels/tools/tests/test_decorators.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests copying statsmodels/tools/tests/test_grouputils.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests copying statsmodels/tools/tests/test_sequences.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests copying statsmodels/tools/tests/test_docstring.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests copying statsmodels/tools/tests/test_tools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests copying statsmodels/tools/tests/test_eval_measures.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/tools/validation/tests copying statsmodels/tools/validation/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/validation/tests copying statsmodels/tools/validation/tests/test_validation.py -> build/lib.linux-x86_64-cpython-313/statsmodels/tools/validation/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests copying statsmodels/genmod/tests/gee_simulation_check.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests copying statsmodels/genmod/tests/test_constrained.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests copying statsmodels/genmod/tests/test_glm_weights.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests copying statsmodels/genmod/tests/gee_poisson_simulation_check.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests copying statsmodels/genmod/tests/test_gee_glm.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests copying statsmodels/genmod/tests/test_bayes_mixed_glm.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests copying statsmodels/genmod/tests/test_qif.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests copying statsmodels/genmod/tests/test_glm.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests copying statsmodels/genmod/tests/gee_categorical_simulation_check.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests copying statsmodels/genmod/tests/gee_gaussian_simulation_check.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests copying statsmodels/genmod/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests copying statsmodels/genmod/tests/test_score_test.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests copying statsmodels/genmod/tests/test_gee.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/genmod/families copying statsmodels/genmod/families/family.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/families copying statsmodels/genmod/families/links.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/families copying statsmodels/genmod/families/varfuncs.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/families copying statsmodels/genmod/families/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/families creating build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/res_R_var_weight.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/gee_generate_tests.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/elastic_net_generate_tests.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/results_glm_poisson_weights.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/glm_test_resids.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/glmnet_r_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/results_glm.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/genmod/families/tests copying statsmodels/genmod/families/tests/test_family.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/families/tests copying statsmodels/genmod/families/tests/test_link.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/families/tests copying statsmodels/genmod/families/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/families/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests copying statsmodels/duration/tests/test_phreg.py -> build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests copying statsmodels/duration/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests copying statsmodels/duration/tests/test_survfunc.py -> build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results copying statsmodels/duration/tests/results/phreg_gentests.py -> build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results copying statsmodels/duration/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results copying statsmodels/duration/tests/results/survival_enet_r_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results copying statsmodels/duration/tests/results/survival_r_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests copying statsmodels/emplike/tests/test_aft.py -> build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests copying statsmodels/emplike/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests copying statsmodels/emplike/tests/test_descriptive.py -> build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests copying statsmodels/emplike/tests/test_origin.py -> build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests copying statsmodels/emplike/tests/test_regression.py -> build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests copying statsmodels/emplike/tests/test_anova.py -> build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests/results copying statsmodels/emplike/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests/results copying statsmodels/emplike/tests/results/el_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/treatment/tests copying statsmodels/treatment/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/treatment/tests copying statsmodels/treatment/tests/test_teffects.py -> build/lib.linux-x86_64-cpython-313/statsmodels/treatment/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/treatment/tests/results copying statsmodels/treatment/tests/results/results_teffects.py -> build/lib.linux-x86_64-cpython-313/statsmodels/treatment/tests/results copying statsmodels/treatment/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/treatment/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/base/tests copying statsmodels/base/tests/test_penalties.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base/tests copying statsmodels/base/tests/test_distributed_estimation.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base/tests copying statsmodels/base/tests/test_screening.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base/tests copying statsmodels/base/tests/test_penalized.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base/tests copying statsmodels/base/tests/test_transform.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base/tests copying statsmodels/base/tests/test_generic_methods.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base/tests copying statsmodels/base/tests/test_shrink_pickle.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base/tests copying statsmodels/base/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base/tests copying statsmodels/base/tests/test_data.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base/tests copying statsmodels/base/tests/test_optimize.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base/tests copying statsmodels/base/tests/test_predict.py -> build/lib.linux-x86_64-cpython-313/statsmodels/base/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng copying statsmodels/stats/libqsturng/qsturng_.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng copying statsmodels/stats/libqsturng/make_tbls.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng copying statsmodels/stats/libqsturng/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng creating build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_gof.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_nonparametric.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_weightstats.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_influence.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_contrast.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_contingency_tables.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_tost.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_base.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_correlation.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_inter_rater.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_anova_rm.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_proportion.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_dist_dependant_measures.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_multivariate.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_sandwich.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_tabledist.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_multi.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_regularized_covariance.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_diagnostic.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_descriptivestats.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_moment_helpers.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_diagnostic_other.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_rates_poisson.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_robust_compare.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_statstools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_lilliefors.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_meta.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_power.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_knockoff.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_oaxaca.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_deltacov.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_panel_robustcov.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_mediation.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_qsturng.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_anova.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_oneway.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_corrpsd.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_effectsize.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_pairwise.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_outliers_influence.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/tests/test_groups_sw.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng/tests copying statsmodels/stats/libqsturng/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng/tests copying statsmodels/stats/libqsturng/tests/test_qsturng.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/results_multinomial_proportions.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/results_power.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/results_meta.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/results_rates.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/lilliefors_critical_value_simulation.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/results_proportion.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/results_panelrobust.py -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/compat/tests copying statsmodels/compat/tests/test_pandas.py -> build/lib.linux-x86_64-cpython-313/statsmodels/compat/tests copying statsmodels/compat/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/compat/tests copying statsmodels/compat/tests/test_scipy_compat.py -> build/lib.linux-x86_64-cpython-313/statsmodels/compat/tests copying statsmodels/compat/tests/test_itercompat.py -> build/lib.linux-x86_64-cpython-313/statsmodels/compat/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests copying statsmodels/multivariate/tests/test_manova.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests copying statsmodels/multivariate/tests/test_cancorr.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests copying statsmodels/multivariate/tests/test_multivariate_ols.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests copying statsmodels/multivariate/tests/test_factor.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests copying statsmodels/multivariate/tests/test_ml_factor.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests copying statsmodels/multivariate/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests copying statsmodels/multivariate/tests/test_pca.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/factor_rotation copying statsmodels/multivariate/factor_rotation/_analytic_rotation.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/factor_rotation copying statsmodels/multivariate/factor_rotation/_gpa_rotation.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/factor_rotation copying statsmodels/multivariate/factor_rotation/_wrappers.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/factor_rotation copying statsmodels/multivariate/factor_rotation/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/factor_rotation creating build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests/results copying statsmodels/multivariate/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests/results copying statsmodels/multivariate/tests/results/datamlw.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/factor_rotation/tests copying statsmodels/multivariate/factor_rotation/tests/test_rotation.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/factor_rotation/tests copying statsmodels/multivariate/factor_rotation/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/factor_rotation/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/gam/gam_cross_validation copying statsmodels/gam/gam_cross_validation/cross_validators.py -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/gam_cross_validation copying statsmodels/gam/gam_cross_validation/gam_cross_validation.py -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/gam_cross_validation copying statsmodels/gam/gam_cross_validation/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/gam_cross_validation creating build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests copying statsmodels/gam/tests/test_penalized.py -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests copying statsmodels/gam/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests copying statsmodels/gam/tests/test_gam.py -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests copying statsmodels/gam/tests/test_smooth_basis.py -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results copying statsmodels/gam/tests/results/results_pls.py -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results copying statsmodels/gam/tests/results/results_mpg_bs_poisson.py -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results copying statsmodels/gam/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results copying statsmodels/gam/tests/results/results_mpg_bs.py -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/formula/tests copying statsmodels/formula/tests/test_formula.py -> build/lib.linux-x86_64-cpython-313/statsmodels/formula/tests copying statsmodels/formula/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/formula/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_gofplots.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_correlation.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_agreement.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_boxplots.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_tsaplots.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_functional.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests copying statsmodels/graphics/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_dotplot.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_regressionplots.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_mosaicplot.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests copying statsmodels/graphics/tests/test_factorplots.py -> build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests copying statsmodels/regression/tests/test_rolling.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests copying statsmodels/regression/tests/test_cov.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests copying statsmodels/regression/tests/test_processreg.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests copying statsmodels/regression/tests/test_dimred.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests copying statsmodels/regression/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests copying statsmodels/regression/tests/test_glsar_gretl.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests copying statsmodels/regression/tests/test_robustcov.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests copying statsmodels/regression/tests/test_glsar_stata.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests copying statsmodels/regression/tests/test_lme.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests copying statsmodels/regression/tests/test_quantile_regression.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests copying statsmodels/regression/tests/test_predict.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests copying statsmodels/regression/tests/test_recursive_ls.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests copying statsmodels/regression/tests/test_tools.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests copying statsmodels/regression/tests/test_regression.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests copying statsmodels/regression/tests/test_theil.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/lme_r_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/results_quantile_regression.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/glmnet_r_results.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/results_regression.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/generate_lasso.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/generate_lme.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/results_macro_ols_robust.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/macro_gr_corc_stata.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/results_theil_textile.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/results_grunfeld_ols_robust_cluster.py -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_pickle.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_summary_old.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests copying statsmodels/iolib/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_summary2.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_table.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_table_econpy.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests copying statsmodels/iolib/tests/test_summary.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests/results copying statsmodels/iolib/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests/results copying statsmodels/iolib/tests/results/macrodata.py -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/test_poisson.py -> build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/test_generic_mle.py -> build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/test_tmodel.py -> build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/results_tmodel.py -> build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests copying statsmodels/miscmodels/tests/test_ordinal_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests/results copying statsmodels/miscmodels/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests/results copying statsmodels/miscmodels/tests/results/results_ordinal_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests copying statsmodels/robust/tests/test_scale.py -> build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests copying statsmodels/robust/tests/test_norms.py -> build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests copying statsmodels/robust/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests copying statsmodels/robust/tests/test_mquantiles.py -> build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests copying statsmodels/robust/tests/test_rlm.py -> build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests/results copying statsmodels/robust/tests/results/results_norms.py -> build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests/results copying statsmodels/robust/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests/results copying statsmodels/robust/tests/results/results_rlm.py -> build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests/results creating build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests copying statsmodels/discrete/tests/test_constrained.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests copying statsmodels/discrete/tests/test_discrete.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests copying statsmodels/discrete/tests/test_truncated_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests copying statsmodels/discrete/tests/test_count_model.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests copying statsmodels/discrete/tests/test_diagnostic.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests copying statsmodels/discrete/tests/test_sandwich_cov.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests copying statsmodels/discrete/tests/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests copying statsmodels/discrete/tests/test_margins.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests copying statsmodels/discrete/tests/test_predict.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests copying statsmodels/discrete/tests/test_conditional.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests creating build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/results_predict.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/results_count_robust_cluster.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/results_count_margins.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/results_truncated.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/results_truncated_st.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/__init__.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/results_poisson_constrained.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/results_glm_logit_constrained.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/results_discrete.py -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/LICENSE.txt -> build/lib.linux-x86_64-cpython-313/statsmodels copying statsmodels/setup.cfg -> build/lib.linux-x86_64-cpython-313/statsmodels copying statsmodels/datasets/randhie/randhie.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/randhie copying statsmodels/datasets/anes96/anes96.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/anes96 copying statsmodels/datasets/committee/committee.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/committee copying statsmodels/datasets/fair/fair_pt.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/fair copying statsmodels/datasets/fair/fair.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/fair copying statsmodels/datasets/cpunish/cpunish.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/cpunish copying statsmodels/datasets/elec_equip/elec_equip.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/elec_equip copying statsmodels/datasets/copper/copper.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/copper copying statsmodels/datasets/ccard/ccard.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/ccard copying statsmodels/datasets/engel/engel.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/engel copying statsmodels/datasets/statecrime/statecrime.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/statecrime copying statsmodels/datasets/strikes/strikes.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/strikes copying statsmodels/datasets/interest_inflation/E6_jmulti.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/interest_inflation copying statsmodels/datasets/interest_inflation/E6.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/interest_inflation copying statsmodels/datasets/star98/star98.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/star98 copying statsmodels/datasets/heart/heart.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/heart copying statsmodels/datasets/co2/co2.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/co2 copying statsmodels/datasets/stackloss/stackloss.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/stackloss copying statsmodels/datasets/fertility/fertility.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/fertility copying statsmodels/datasets/spector/spector.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/spector copying statsmodels/datasets/modechoice/modechoice.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/modechoice copying statsmodels/datasets/elnino/elnino.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/elnino copying statsmodels/datasets/danish_data/data.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/danish_data copying statsmodels/datasets/cancer/cancer.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/cancer copying statsmodels/datasets/grunfeld/grunfeld.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/grunfeld copying statsmodels/datasets/scotland/scotvote.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/scotland copying statsmodels/datasets/longley/longley.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/longley copying statsmodels/datasets/china_smoking/china_smoking.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/china_smoking copying statsmodels/datasets/sunspots/sunspots.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/sunspots copying statsmodels/datasets/nile/nile.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/nile copying statsmodels/datasets/macrodata/macrodata.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/macrodata copying statsmodels/datasets/macrodata/macrodata.dta -> build/lib.linux-x86_64-cpython-313/statsmodels/datasets/macrodata copying statsmodels/nonparametric/tests/results/results_kde_fft.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/results_kernel_regression.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/results_kde.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/test_lowess_simple.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/results_kde_weights.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/test_lowess_frac.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/results_kcde.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/test_lowess_delta.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/test_lowess_iter.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results copying statsmodels/nonparametric/tests/results/results_kde_univ_weights.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results copying statsmodels/sandbox/regression/tests/griliches76.dta -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests copying statsmodels/sandbox/regression/tests/racd10data_with_transformed.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests copying statsmodels/tsa/holtwinters/tests/results/housing-data.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/tests/results copying statsmodels/tsa/regime_switching/tests/results/results_predict_fedfunds.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests/results copying statsmodels/tsa/regime_switching/tests/results/mar_filardo.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests/results copying statsmodels/tsa/regime_switching/tests/results/results_predict_rgnp.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests/results copying statsmodels/tsa/stl/tests/results/mstl_test_results.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests/results copying statsmodels/tsa/stl/tests/results/mstl_elec_vic.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests/results copying statsmodels/tsa/stl/tests/results/stl_test_results.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests/results copying statsmodels/tsa/stl/tests/results/stl_co2.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests/results copying statsmodels/tsa/statespace/tests/results/results_varmax_stata.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_dynamic_factor_stata.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_clark1989_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/exponential_smoothing_predict.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/cfa_tvpvar_beta.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_exact_initial_local_linear_trend_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_simulation_smoothing0.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_exact_initial_dfm_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_simulation_smoothing4.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_stata.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/cfa_tvpvar_state_variates.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_smoothing_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/exponential_smoothing_params.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_simulation_smoothing3.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_exact_initial_common_level_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_var_stata.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_var_R_output.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_intercepts_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_simulation_smoothing2.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_smoothing_generalobscov_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/exponential_smoothing_states.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/cfa_tvpvar_v10.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Omega_22.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_matlab_ssm.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/cfa_tvpvar_posterior_mean.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_smoothing2_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_simulation_smoothing1.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_simulation_smoothing3_variates.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_mixed_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Omega_11.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_wpi1_missing_ar3_matlab_ssm.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_exact_initial_local_level_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_simulation_smoothing6.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_sarimax_coverage.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_exact_initial_local_linear_trend_missing_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_exact_initial_common_level_restricted_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/cfa_tvpvar_S10.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_simulation_smoothing5.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_missing_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_realgdpar_stata.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Si0.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/clark1989.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/cfa_tvpvar_invP.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_smoothing3_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_measurement_error_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/cfa_tvpvar_vi0.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/manufac.dta -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/sm-0.9-sarimax.pkl -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_221.mat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_111.mat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_221.mat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_blocks_222.mat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_22F.mat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_111.mat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_222.mat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_222.mat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_112.mat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_11F.mat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_blocks_112.mat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_112.mat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_222.mat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_112.mat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/2016-06-29.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US copying statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/2016-07-29.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US copying statsmodels/tsa/vector_ar/tests/Matlab_results/test_coint.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/Matlab_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons_realgdp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons_realgdp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_fc5.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_granger_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_diag.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_Sigmau.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_lagorder.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_inst_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_inst_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_fc5.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_fc5.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realgdp_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_Sigmau.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_granger_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_ir.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_inst_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons_realgdp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_ir.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_fc5.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_inst_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_diag.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_granger_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_Sigmau.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_Sigmau.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_Sigmau.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_fc5.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_granger_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_lagorder.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_granger_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_lagorder.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_granger_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_ir.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_ir.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_ir.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realgdp_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_fc5.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realgdp_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_Sigmau.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_granger_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realgdp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_fc5.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_granger_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_fc5.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_inst_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_inst_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_ir.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_diag.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_ir.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_lagorder.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_granger_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_inst_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_lagorder.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_ir.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_granger_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_granger_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_lagorder.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_fc5.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_granger_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realgdp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_inst_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_lagorder.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_ir.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realgdp_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realgdp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realgdp_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_lagorder.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_granger_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_Sigmau.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_granger_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_granger_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_ir.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_inst_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_diag.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realgdp_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_inst_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_inst_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_lagorder.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_diag.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_fc5.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_ir.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realgdp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_lagorder.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_Sigmau.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_inst_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_lagorder.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realgdp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_fc5.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons_realgdp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_fc5.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_inst_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_diag.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_diag.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_inst_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_diag.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_ir.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_Sigmau.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_diag.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_diag.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons_realgdp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_diag.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_fc5.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_granger_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons_realgdp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_fc5.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_inst_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_Sigmau.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_ir.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_Sigmau.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_inst_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_inst_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_lagorder.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_inst_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_Sigmau.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_granger_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_inst_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_lagorder.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_lagorder.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_inst_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_granger_causality_r_dp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_diag.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_granger_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_lagorder.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realgdp.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_diag.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_diag.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_Sigmau.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_Sigmau.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_lagorder.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_fc5.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_diag.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_diag.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_Sigmau.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_Sigmau.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_ir.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_ir.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_granger_causality_dp_r.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_ir.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realinv.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_fc5.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results copying statsmodels/tsa/vector_ar/tests/results/vars_results.npz -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/e3.dat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/e4.dat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/e6.dat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/e1.dat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/e2.dat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/vector_ar/tests/results/e5.dat -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results copying statsmodels/tsa/tests/results/rgnp.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/bds_results.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_forecasts_all_css.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima111_forecasts.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/AROLSNoConstantPredict.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_ccf.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/rgnpq.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arma_forecasts.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_forecasts_all_mle_diff.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/resids_css_nc.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/resids_exact_c.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/y_arma_data.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/gnpdef.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/resids_css_c.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/resids_exact_nc.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_forecasts_all_mle.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_exog_forecasts_mle.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/stkprc.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/rand10000.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/AROLSConstantPredict.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_ar_forecast_mle_dynamic.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/yhat_css_nc.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/yhat_exact_nc.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_forecasts_all_css_diff.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/ARMLEConstantPredict.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/yhat_exact_c.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/bds_data.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_forecasts.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_corrgram.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/yhat_css_c.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/arima212_forecast.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/results_arima_exog_forecasts_css.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/lutkepohl2.dta -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/fit_ets_results_nonseasonal.json -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/fit_ets_results_seasonal.json -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/tsa/tests/results/fit_ets_results.json -> build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results copying statsmodels/othermod/tests/results/resid_methylation.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/othermod/tests/results copying statsmodels/othermod/tests/results/methylation-test.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/othermod/tests/results copying statsmodels/othermod/tests/results/foodexpenditure.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/othermod/tests/results copying statsmodels/genmod/tests/results/stata_cancer_glm.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/gee_logistic_1.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/igaussident_resids.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/results_tweedie_aweights_nonrobust.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/gee_nested_linear_1.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/stata_medpar1_glm.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/medparlogresids.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/gee_nominal_1.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/enet_binomial.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/epil.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/enet_poisson.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/gee_poisson_1.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/stata_lbw_glm.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/iris.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/gee_ordinal_1.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/gee_linear_1.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/genmod/tests/results/inv_gaussian.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results copying statsmodels/duration/tests/results/survival_data_50_1.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results copying statsmodels/duration/tests/results/survival_data_1000_10.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results copying statsmodels/duration/tests/results/bmt.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results copying statsmodels/duration/tests/results/survival_data_20_1.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results copying statsmodels/duration/tests/results/bmt_results.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results copying statsmodels/duration/tests/results/survival_data_50_2.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results copying statsmodels/duration/tests/results/survival_data_100_5.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results copying statsmodels/treatment/tests/results/cataneo2.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/treatment/tests/results copying statsmodels/stats/libqsturng/CH.r -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng copying statsmodels/stats/libqsturng/LICENSE.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng copying statsmodels/stats/tests/test_data.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests copying statsmodels/stats/libqsturng/tests/bootleg.dat -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng/tests copying statsmodels/stats/tests/results/wspec1.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/influence_measures_bool_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/wspec4.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/influence_measures_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/wspec2.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/bootleg.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/framing.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/wspec3.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/results_influence_logit.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/binary_constrict.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/contingency_table_r_results.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/influence_lsdiag_R.json -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/stats/tests/results/data.dat -> build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results copying statsmodels/multivariate/tests/results/factors_stata.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests/results copying statsmodels/multivariate/tests/results/factor_data.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests/results copying statsmodels/gam/tests/results/autos_exog.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results copying statsmodels/gam/tests/results/logit_gam_mgcv.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results copying statsmodels/gam/tests/results/motorcycle.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results copying statsmodels/gam/tests/results/gam_PIRLS_results.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results copying statsmodels/gam/tests/results/prediction_from_mgcv.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results copying statsmodels/gam/tests/results/autos.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results copying statsmodels/gam/tests/results/cubic_cyclic_splines_from_mgcv.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results copying statsmodels/gam/tests/results/autos_predict.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results copying statsmodels/regression/tests/results/lme10.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/lme07.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/pastes.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/theil_textile_predict.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/lme05.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/lme04.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/lme09.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/lme08.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/lme00.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/lasso_data.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/results_rls_stata.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/lme11.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/lme02.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/dietox.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/lme01.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/lme06.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/lme03.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/results_rls_R.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/regression/tests/results/leverage_influence_ols_nostars.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results copying statsmodels/iolib/tests/results/time_series_examples.dta -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests/results copying statsmodels/iolib/tests/results/data_missing.dta -> build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests/results copying statsmodels/miscmodels/tests/results/ologit_ucla.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests/results copying statsmodels/discrete/tests/results/nbinom_resids.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/mnlogit_resid.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/poisson_resid.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/phat_mnlogit.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/sm3533.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/ships.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/predict_prob_poisson.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/yhat_poisson.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/yhat_mnlogit.csv -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results copying statsmodels/discrete/tests/results/mn_logit_summary.txt -> build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results running build_ext building 'statsmodels.tsa.stl._stl' extension creating build/temp.linux-x86_64-cpython-313/statsmodels/tsa/stl x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/stl/_stl.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/stl/_stl.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/stl/_stl.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/_stl.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.holtwinters._exponential_smoothers' extension creating build/temp.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/holtwinters/_exponential_smoothers.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/_exponential_smoothers.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/_exponential_smoothers.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/_exponential_smoothers.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.exponential_smoothing._ets_smooth' extension creating build/temp.linux-x86_64-cpython-313/statsmodels/tsa/exponential_smoothing x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/exponential_smoothing/_ets_smooth.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/exponential_smoothing/_ets_smooth.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/exponential_smoothing/_ets_smooth.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/exponential_smoothing/_ets_smooth.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa._innovations' extension x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/_innovations.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/_innovations.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/_innovations.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/_innovations.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.regime_switching._hamilton_filter' extension creating build/temp.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/regime_switching/_hamilton_filter.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/_hamilton_filter.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/_hamilton_filter.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/_hamilton_filter.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.regime_switching._kim_smoother' extension x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/regime_switching/_kim_smoother.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/_kim_smoother.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/_kim_smoother.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/_kim_smoother.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.innovations._arma_innovations' extension creating build/temp.linux-x86_64-cpython-313/statsmodels/tsa/innovations x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/innovations/_arma_innovations.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/innovations/_arma_innovations.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/innovations/_arma_innovations.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/innovations/_arma_innovations.cpython-313-x86_64-linux-gnu.so building 'statsmodels.nonparametric.linbin' extension creating build/temp.linux-x86_64-cpython-313/statsmodels/nonparametric x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/nonparametric/linbin.c -o build/temp.linux-x86_64-cpython-313/statsmodels/nonparametric/linbin.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/nonparametric/linbin.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/linbin.cpython-313-x86_64-linux-gnu.so building 'statsmodels.robust._qn' extension creating build/temp.linux-x86_64-cpython-313/statsmodels/robust x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/robust/_qn.c -o build/temp.linux-x86_64-cpython-313/statsmodels/robust/_qn.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/robust/_qn.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/robust/_qn.cpython-313-x86_64-linux-gnu.so building 'statsmodels.nonparametric._smoothers_lowess' extension x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/nonparametric/_smoothers_lowess.c -o build/temp.linux-x86_64-cpython-313/statsmodels/nonparametric/_smoothers_lowess.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/nonparametric/_smoothers_lowess.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/_smoothers_lowess.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.statespace._initialization' extension creating build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -Istatsmodels/src -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/statespace/_initialization.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_initialization.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_initialization.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_initialization.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.statespace._representation' extension x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -Istatsmodels/src -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/statespace/_representation.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_representation.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_representation.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_representation.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.statespace._kalman_filter' extension x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -Istatsmodels/src -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/statespace/_kalman_filter.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_kalman_filter.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_kalman_filter.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_kalman_filter.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.statespace._filters._conventional' extension creating build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -Istatsmodels/src -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/statespace/_filters/_conventional.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters/_conventional.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters/_conventional.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters/_conventional.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.statespace._filters._inversions' extension x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -Istatsmodels/src -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/statespace/_filters/_inversions.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters/_inversions.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters/_inversions.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters/_inversions.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.statespace._filters._univariate' extension x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -Istatsmodels/src -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/statespace/_filters/_univariate.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters/_univariate.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters/_univariate.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters/_univariate.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.statespace._filters._univariate_diffuse' extension x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -Istatsmodels/src -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/statespace/_filters/_univariate_diffuse.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters/_univariate_diffuse.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters/_univariate_diffuse.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters/_univariate_diffuse.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.statespace._kalman_smoother' extension x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -Istatsmodels/src -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/statespace/_kalman_smoother.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_kalman_smoother.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_kalman_smoother.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_kalman_smoother.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.statespace._smoothers._alternative' extension creating build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -Istatsmodels/src -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/statespace/_smoothers/_alternative.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_alternative.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_alternative.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_alternative.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.statespace._smoothers._classical' extension x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -Istatsmodels/src -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/statespace/_smoothers/_classical.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_classical.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_classical.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_classical.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.statespace._smoothers._conventional' extension x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -Istatsmodels/src -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/statespace/_smoothers/_conventional.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_conventional.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_conventional.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_conventional.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.statespace._smoothers._univariate' extension x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -Istatsmodels/src -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/statespace/_smoothers/_univariate.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_univariate.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_univariate.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_univariate.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.statespace._smoothers._univariate_diffuse' extension x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -Istatsmodels/src -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.statespace._simulation_smoother' extension x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -Istatsmodels/src -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/statespace/_simulation_smoother.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_simulation_smoother.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_simulation_smoother.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_simulation_smoother.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.statespace._cfa_simulation_smoother' extension x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -Istatsmodels/src -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/statespace/_cfa_simulation_smoother.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_cfa_simulation_smoother.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_cfa_simulation_smoother.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_cfa_simulation_smoother.cpython-313-x86_64-linux-gnu.so building 'statsmodels.tsa.statespace._tools' extension x86_64-linux-gnu-gcc -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -DCYTHON_TRACE_NOGIL=0 -DNPY_NO_DEPRECATED_API=NPY_1_7_API_VERSION -Istatsmodels/src -I/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include -I/usr/include/python3.13 -c statsmodels/tsa/statespace/_tools.c -o build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_tools.o x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-z,relro -g -fwrapv -O2 -Wl,-z,relro -Wl,-z,now -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/statsmodels-0.14.5+dfsg=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -Wdate-time -D_FORTIFY_SOURCE=2 build/temp.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_tools.o -L/usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/../lib -L/usr/lib/x86_64-linux-gnu -lnpymath -o build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_tools.cpython-313-x86_64-linux-gnu.so installing to build/bdist.linux-x86_64/wheel running install running install_lib creating build/bdist.linux-x86_64/wheel creating build/bdist.linux-x86_64/wheel/statsmodels creating build/bdist.linux-x86_64/wheel/statsmodels/datasets creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/randhie copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/randhie/randhie.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/randhie copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/randhie/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/randhie copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/randhie/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/randhie creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/anes96 copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/anes96/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/anes96 copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/anes96/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/anes96 copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/anes96/anes96.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/anes96 creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/committee copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/committee/committee.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/committee copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/committee/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/committee copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/committee/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/committee creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/fair copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/fair/fair_pt.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/fair copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/fair/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/fair copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/fair/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/fair copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/fair/fair.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/fair creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/cpunish copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/cpunish/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/cpunish copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/cpunish/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/cpunish copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/cpunish/cpunish.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/cpunish creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/elec_equip copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/elec_equip/elec_equip.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/elec_equip copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/elec_equip/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/elec_equip copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/elec_equip/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/elec_equip creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/copper copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/copper/copper.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/copper copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/copper/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/copper copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/copper/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/copper creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/ccard copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/ccard/ccard.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/ccard copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/ccard/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/ccard copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/ccard/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/ccard creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/engel copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/engel/engel.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/engel copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/engel/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/engel copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/engel/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/engel creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/statecrime copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/statecrime/statecrime.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/statecrime copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/statecrime/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/statecrime copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/statecrime/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/statecrime creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/strikes copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/strikes/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/strikes copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/strikes/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/strikes copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/strikes/strikes.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/strikes creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/interest_inflation copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/interest_inflation/E6_jmulti.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/interest_inflation copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/interest_inflation/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/interest_inflation copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/interest_inflation/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/interest_inflation copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/interest_inflation/E6.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/interest_inflation copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/star98 copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/star98/star98.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/star98 copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/star98/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/star98 copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/star98/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/star98 creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/heart copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/heart/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/heart copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/heart/heart.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/heart copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/heart/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/heart creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/co2 copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/co2/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/co2 copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/co2/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/co2 copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/co2/co2.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/co2 creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/tests/test_data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/tests/test_utils.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/tests creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/stackloss copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/stackloss/stackloss.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/stackloss copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/stackloss/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/stackloss copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/stackloss/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/stackloss creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/fertility copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/fertility/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/fertility copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/fertility/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/fertility copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/fertility/fertility.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/fertility creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/spector copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/spector/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/spector copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/spector/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/spector copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/spector/spector.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/spector creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/modechoice copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/modechoice/modechoice.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/modechoice copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/modechoice/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/modechoice copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/modechoice/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/modechoice creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/elnino copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/elnino/elnino.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/elnino copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/elnino/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/elnino copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/elnino/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/elnino creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/danish_data copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/danish_data/data.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/danish_data copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/danish_data/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/danish_data copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/danish_data/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/danish_data creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/cancer copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/cancer/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/cancer copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/cancer/cancer.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/cancer copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/cancer/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/cancer creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/grunfeld copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/grunfeld/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/grunfeld copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/grunfeld/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/grunfeld copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/grunfeld/grunfeld.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/grunfeld creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/scotland copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/scotland/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/scotland copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/scotland/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/scotland copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/scotland/scotvote.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/scotland copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/utils.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/longley copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/longley/longley.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/longley copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/longley/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/longley copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/longley/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/longley copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/template_data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/china_smoking copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/china_smoking/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/china_smoking copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/china_smoking/china_smoking.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/china_smoking copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/china_smoking/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/china_smoking creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/sunspots copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/sunspots/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/sunspots copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/sunspots/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/sunspots copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/sunspots/sunspots.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/sunspots creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/nile copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/nile/nile.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/nile copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/nile/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/nile copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/nile/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/nile creating build/bdist.linux-x86_64/wheel/statsmodels/datasets/macrodata copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/macrodata/macrodata.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/macrodata copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/macrodata/macrodata.dta -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/macrodata copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/macrodata/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/macrodata copying build/lib.linux-x86_64-cpython-313/statsmodels/datasets/macrodata/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/datasets/macrodata creating build/bdist.linux-x86_64/wheel/statsmodels/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/kde.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/bandwidths.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/kdetools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/_kernel_base.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/kernel_regression.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/smoothers_lowess.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/kernels_asymmetric.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric creating build/bdist.linux-x86_64/wheel/statsmodels/nonparametric/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/test_lowess.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/test_kernel_density.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/test_asymmetric.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/test_kde.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests creating build/bdist.linux-x86_64/wheel/statsmodels/nonparametric/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results/results_kde_fft.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results/results_kernel_regression.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results/results_kde.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results/test_lowess_simple.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results/results_kde_weights.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results/test_lowess_frac.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results/results_kcde.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results/test_lowess_delta.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results/test_lowess_iter.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/results/results_kde_univ_weights.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/test_bandwidths.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/test_kernel_regression.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/tests/test_kernels.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/_smoothers_lowess.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/smoothers_lowess_old.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/kernels.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/linbin.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/nonparametric/kernel_density.py -> build/bdist.linux-x86_64/wheel/./statsmodels/nonparametric creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/infotheo.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/densityorthopoly.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/smoothers.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/kernel_extras.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/kdecovclass.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/nonparametric creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox/nonparametric/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/tests/ex_gam_am_new.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/nonparametric/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/tests/ex_gam_new.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/nonparametric/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/tests/test_smoothers.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/nonparametric/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/nonparametric/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/tests/ex_smoothers.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/nonparametric/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/nonparametric/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/kernels.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/dgp_examples.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/kde2.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/nonparametric copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/nonparametric/testdata.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/nonparametric creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa/try_var_convolve.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa/try_arma_more.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa/diffusion2.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa/try_fi.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa/fftarma.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa/movstat.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa/example_arma.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa/varma.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tsa/diffusion.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tsa creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/quantize.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/sppatch.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/try_pot.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/mv_normal.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/estimators.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/try_max.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/extras.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/otherdist.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests/test_transf.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests/_est_fit.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests/test_gof_new.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests/test_norm_expan.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests/test_multivariate.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests/check_moments.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests/distparams.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/tests/test_extras.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/transform_functions.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/gof_new.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/multivariate.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/transformed.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox/distributions/examples copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/examples/ex_transf2.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions/examples copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/examples/matchdist.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions/examples copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/examples/ex_mvelliptical.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions/examples copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/examples/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions/examples copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/examples/ex_extras.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions/examples copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/examples/ex_fitfr.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions/examples copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/examples/ex_gof.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions/examples copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/genpareto.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/distributions/mv_measures.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/distributions creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox/panel copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel/panelmod.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/panel copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel/mixed.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/panel copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/panel copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel/panel_short.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/panel creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox/panel/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel/tests/test_random_panel.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/panel/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/panel/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel/sandwich_covariance_generic.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/panel copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel/correlation_structures.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/panel copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/panel/random_panel.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/panel creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tools/cross_val.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tools/try_mctools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tools/mctools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tools/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tools/tools_pca.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/multilinear.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox/datarich copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/datarich/factormodels.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/datarich copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/datarich/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/datarich creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox/mcevaluate copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/mcevaluate/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/mcevaluate copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/mcevaluate/arma.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/mcevaluate copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats/multicomp.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats/ex_newtests.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats/stats_mstats_short.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats/diagnostic.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/stats creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats/tests/test_runs.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats/tests/test_multicomp.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats/stats_dhuard.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats/contrast_tools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/stats/runs.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/gam.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/mle.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tests/maketests_mlabwrap.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tests/savervs.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tests/test_pca.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tests/test_predict_functional.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/tests/test_gam.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/bspline.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/pca.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/sysreg.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox/archive copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/archive/linalg_covmat.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/archive copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/archive/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/archive copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/archive/linalg_decomp_1.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/archive copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/archive/tsa.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/archive copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/predict_functional.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/descstats.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/anova_nistcertified.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/treewalkerclass.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/penalized.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/runmnl.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/try_ols_anova.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/gmm.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/kernridgeregress_class.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/sympy_diff.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/example_kernridge.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/predstd.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/try_catdata.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression creating build/bdist.linux-x86_64/wheel/statsmodels/sandbox/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests/griliches76.dta -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests/test_gmm_poisson.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests/results_ivreg2_griliches.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests/racd10data_with_transformed.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests/results_gmm_griliches_iter.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests/test_gmm.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests/results_gmm_griliches.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tests/results_gmm_poisson.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/onewaygls.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/try_treewalker.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/ar_panel.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/ols_anova_original.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/regression/tools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/sandbox/rls.py -> build/bdist.linux-x86_64/wheel/./statsmodels/sandbox creating build/bdist.linux-x86_64/wheel/statsmodels/tsa creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/holtwinters copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/holtwinters copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/holtwinters creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/holtwinters/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/tests/test_holtwinters.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/holtwinters/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/holtwinters/tests creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/holtwinters/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/holtwinters/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/tests/results/housing-data.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/holtwinters/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/holtwinters copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/_exponential_smoothers.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/holtwinters copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/holtwinters/_smoothers.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/holtwinters creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/regime_switching copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/markov_regression.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/regime_switching copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/regime_switching creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/regime_switching/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/regime_switching/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/regime_switching/tests creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/regime_switching/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests/results/results_predict_fedfunds.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/regime_switching/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/regime_switching/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests/results/mar_filardo.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/regime_switching/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests/results/results_predict_rgnp.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/regime_switching/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests/test_markov_regression.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/regime_switching/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/tests/test_markov_switching.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/regime_switching/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/_kim_smoother.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/regime_switching copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/_hamilton_filter.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/regime_switching copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/markov_switching.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/regime_switching copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/regime_switching/markov_autoregression.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/regime_switching creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/exponential_smoothing copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/exponential_smoothing/base.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/exponential_smoothing copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/exponential_smoothing/ets.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/exponential_smoothing copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/exponential_smoothing/initialization.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/exponential_smoothing copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/exponential_smoothing/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/exponential_smoothing copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/exponential_smoothing/_ets_smooth.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/exponential_smoothing creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/arima creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/arima/datasets copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/datasets/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/datasets creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/arima/datasets/brockwell_davis_2002 copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/datasets/brockwell_davis_2002/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/datasets/brockwell_davis_2002 creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/oshorts.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/datasets/brockwell_davis_2002/data copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/datasets/brockwell_davis_2002/data copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/sbl.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/datasets/brockwell_davis_2002/data copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/lake.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/datasets/brockwell_davis_2002/data copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/dowj.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/datasets/brockwell_davis_2002/data creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/arima/estimators copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/burg.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/estimators copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/yule_walker.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/estimators copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/statespace.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/estimators copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/estimators copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/durbin_levinson.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/estimators creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/arima/estimators/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/estimators/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/tests/test_gls.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/estimators/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/tests/test_statespace.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/estimators/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/estimators/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/tests/test_burg.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/estimators/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/tests/test_innovations.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/estimators/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/estimators/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/estimators/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/gls.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/estimators copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/hannan_rissanen.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/estimators copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/estimators/innovations.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/estimators copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/arima/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/tests/test_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/tests/test_params.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/tests/test_specification.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/tests/test_tools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/params.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/specification.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima/tools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/arima copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/adfvalues.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/ardl copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl/pss_critical_values.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/ardl copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl/model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/ardl copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/ardl creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/ardl/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl/tests/test_ardl.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/ardl/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/ardl/tests creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/ardl/_pss_critical_values copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl/_pss_critical_values/pss-process.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/ardl/_pss_critical_values copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl/_pss_critical_values/pss.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/ardl/_pss_critical_values copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ardl/_pss_critical_values/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/ardl/_pss_critical_values creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/innovations copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/innovations/_arma_innovations.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/innovations copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/innovations/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/innovations creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/innovations/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/innovations/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/innovations/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/innovations/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/innovations/tests/test_arma_innovations.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/innovations/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/innovations/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/innovations copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/innovations/arma_innovations.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/innovations copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tsatools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/filters copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters/filtertools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/filters copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters/bk_filter.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/filters copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters/hp_filter.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/filters copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters/_utils.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/filters copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/filters creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/filters/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/filters/tests creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/filters/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters/tests/results/filter_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/filters/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/filters/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters/tests/test_filters.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/filters/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/filters copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/filters/cf_filter.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/filters creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/stl copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/stl copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/mstl.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/stl creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/stl/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/stl/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests/test_stl.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/stl/tests creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/stl/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests/results/mstl_test_results.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/stl/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests/results/mstl_elec_vic.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/stl/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/stl/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests/results/stl_test_results.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/stl/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests/results/stl_co2.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/stl/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/tests/test_mstl.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/stl/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stl/_stl.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/stl copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/x13.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/statespace creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/statespace/_smoothers copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_classical.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/_smoothers copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_conventional.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/_smoothers copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/_smoothers copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_alternative.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/_smoothers copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/_smoothers copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_smoothers/_univariate.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/_smoothers copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/representation.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/dynamic_factor.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_kalman_smoother.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_representation.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/kalman_smoother.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_pykalman_smoother.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/initialization.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/varmax.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_cfa_simulation_smoother.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_initialization.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/kalman_filter.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/sarimax.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_quarterly_ar1.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/mlemodel.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/news.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/cfa_simulation_smoother.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_news.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_univariate.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_options.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_impulse_responses.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_structural.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_weights.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_representation.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_smoothing.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_decompose.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_pickle.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_save.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_sarimax.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_varmax.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_cfa_tvpvar.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_chandrasekhar.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_conserve_memory.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_kalman.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_initialization.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_forecasting.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_collapsed.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_var.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_varmax.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_varmax_stata.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_dynamic_factor_stata.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_clark1989_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_structural.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/exponential_smoothing_predict.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_beta.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_dynamic_factor.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_exact_initial_local_linear_trend_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_var_R.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing0.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_exact_initial_dfm_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing4.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_stata.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_state_variates.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_smoothing_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/exponential_smoothing_params.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing3.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_exact_initial_common_level_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_var_stata.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_var_R_output.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_kalman_filter.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_var_misc.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/sm-0.9-sarimax.pkl -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_intercepts_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing2.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_smoothing_generalobscov_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/manufac.dta -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/exponential_smoothing_states.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_v10.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Omega_22.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_matlab_ssm.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_posterior_mean.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_smoothing2_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing1.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing3_variates.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_mixed_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Omega_11.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_wpi1_missing_ar3_matlab_ssm.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_exact_initial_local_level_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing6.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_sarimax_coverage.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_exact_initial_local_linear_trend_missing_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_exact_initial_common_level_restricted_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_S10.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_simulation_smoothing5.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_missing_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_realgdpar_stata.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_sarimax.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Si0.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/clark1989.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_invP.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_smoothing3_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_measurement_error_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/cfa_tvpvar_vi0.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/statespace/tests/results/frbny_nowcast copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_221.mat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_111.mat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_221.mat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_blocks_222.mat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_22F.mat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_111.mat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_222.mat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/2016-06-29.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/2016-07-29.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_222.mat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_112.mat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_11F.mat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_blocks_112.mat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_112.mat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_222.mat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_112.mat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests/results/frbny_nowcast copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_dynamic_factor.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_concentrated.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/kfas_helpers.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_tools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_models.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_simulate.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_mlemodel.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_fixed_params.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tests/test_prediction.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_simulation_smoother.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/dynamic_factor_mq.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_tools.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/statespace/_filters copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters/_conventional.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/_filters copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters/_univariate_diffuse.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/_filters copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/_filters copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters/_univariate.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/_filters copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_filters/_inversions.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace/_filters copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/structural.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/_kalman_filter.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/simulation_smoother.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/tools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/statespace/exponential_smoothing.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/statespace creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/base copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base/datetools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/base copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base/tsa_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/base copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base/prediction.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/base copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/base creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base/tests/test_base.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base/tests/test_tsa_indexes.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base/tests/test_datetools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/base/tests/test_prediction.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/seasonal.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/vector_ar copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/vecm.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/irf.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/output.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/vector_ar/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/example_svar.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/vector_ar/tests/Matlab_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/Matlab_results/test_coint.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/Matlab_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/Matlab_results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/Matlab_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/test_vecm.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons_realgdp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons_realgdp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_fc5.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_granger_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_diag.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_Sigmau.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_lagorder.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_inst_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_inst_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_fc5.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_fc5.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realgdp_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_Sigmau.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_granger_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_ir.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_inst_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons_realgdp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_ir.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_fc5.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_inst_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_diag.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/parse_jmulti_vecm_output.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_granger_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_Sigmau.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_Sigmau.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_Sigmau.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_fc5.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_granger_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_lagorder.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_granger_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_lagorder.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_granger_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_ir.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_ir.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_ir.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realgdp_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_fc5.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realgdp_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_Sigmau.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_granger_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realgdp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_fc5.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_granger_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_fc5.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_inst_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_inst_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_ir.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_diag.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_ir.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_lagorder.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_granger_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_inst_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_lagorder.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_ir.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_granger_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_granger_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_lagorder.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_fc5.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_granger_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realgdp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_inst_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_lagorder.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_ir.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realgdp_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realgdp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realgdp_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_lagorder.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_granger_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_Sigmau.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_granger_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_granger_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_ir.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_inst_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_diag.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realgdp_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_inst_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_inst_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_lagorder.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_diag.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_fc5.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_ir.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realgdp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_lagorder.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_Sigmau.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_inst_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_lagorder.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realgdp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_fc5.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons_realgdp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_fc5.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_inst_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_diag.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_diag.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_inst_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_diag.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_ir.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_Sigmau.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_diag.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_diag.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons_realgdp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_diag.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_fc5.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_granger_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons_realgdp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_fc5.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_inst_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_Sigmau.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_ir.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_Sigmau.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_inst_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_inst_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_lagorder.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_inst_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_Sigmau.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_granger_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_inst_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_lagorder.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_lagorder.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_inst_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_granger_causality_r_dp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_diag.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_granger_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_lagorder.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realgdp.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_diag.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_diag.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_Sigmau.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_Sigmau.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_lagorder.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_fc5.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/parse_jmulti_var_output.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_diag.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_diag.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_Sigmau.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_Sigmau.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_ir.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_ir.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_granger_causality_dp_r.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_ir.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realinv.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_fc5.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/JMulTi_results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/test_var.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results/e3.dat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results/results_svar_st.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results/e4.dat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results/results_var.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results/results_svar.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results/vars_results.npz -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results/e6.dat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results/e1.dat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results/results_var_data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results/e2.dat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/results/e5.dat -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/test_coint.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/test_svar.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/var_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/plotting.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/util.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/hypothesis_test_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/vector_ar/svar_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/vector_ar copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/forecasting copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/forecasting/theta.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/forecasting copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/forecasting/stl.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/forecasting copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/forecasting/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/forecasting creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/forecasting/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/forecasting/tests/test_theta.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/forecasting/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/forecasting/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/forecasting/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/forecasting/tests/test_stl.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/forecasting/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/_innovations.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/mlemodel.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/varma_process.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/test_adfuller_lag.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/test_x13.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/test_exponential_smoothing.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/test_seasonal.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/test_bds.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/test_ar.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/savedrvs.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/rgnp.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/bds_results.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/results_arima_forecasts_all_css.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/arima111_forecasts.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/AROLSNoConstantPredict.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/fit_ets_results_nonseasonal.json -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/arima211nc_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/results_ccf.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/arima112_css_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/rgnpq.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/results_arma_forecasts.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/arima211nc_css_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/results_arima_forecasts_all_mle_diff.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/resids_css_nc.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/fit_ets_results_seasonal.json -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/make_arma.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/resids_exact_c.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/y_arma_data.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/arima111_css_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/results_arma_acf.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/gnpdef.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/resids_css_c.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/resids_exact_nc.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/datamlw_tls.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/results_arima_forecasts_all_mle.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/results_arima_exog_forecasts_mle.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/arima112nc_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/results_arima.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/arima112_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/stkprc.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/lutkepohl2.dta -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/rand10000.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/AROLSConstantPredict.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/fit_ets_results.json -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/results_ar_forecast_mle_dynamic.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/yhat_css_nc.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/results_arma.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/arima112nc_css_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/arima111_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/arima111nc_css_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/yhat_exact_nc.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/results_arima_forecasts_all_css_diff.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/ARMLEConstantPredict.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/arima211_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/yhat_exact_c.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/results_ar.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/results_process.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/bds_data.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/results_arima_forecasts.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/results_corrgram.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/yhat_css_c.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/arima212_forecast.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/arima211_css_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/results_arima_exog_forecasts_css.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/results/arima111nc_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/test_tsa_tools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/test_deterministic.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/test_arima_process.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/tests/test_stattools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/descriptivestats.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/coint_tables.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arma_mle.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/arima_process.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/stattools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/ar_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/deterministic.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/_bds.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/interp copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/interp/denton.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/interp copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/interp/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/interp creating build/bdist.linux-x86_64/wheel/statsmodels/tsa/interp/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/interp/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/interp/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tsa/interp/tests/test_denton.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tsa/interp/tests creating build/bdist.linux-x86_64/wheel/statsmodels/distributions creating build/bdist.linux-x86_64/wheel/statsmodels/distributions/copula copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula/transforms.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions/copula copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula/archimedean.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions/copula copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions/copula copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula/copulas.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions/copula copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions/copula copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula/extreme_value.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions/copula copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula/depfunc_ev.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions/copula copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula/other_copulas.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions/copula copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula/_special.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions/copula copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/copula/elliptical.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions/copula copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/mixture_rvs.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions creating build/bdist.linux-x86_64/wheel/statsmodels/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/tests/test_bernstein.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/tests/test_discrete.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/tests/test_ecdf.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/tests/test_mixture.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/tests/test_edgeworth.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/tests/test_tools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/edgeworth.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/discrete.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/empirical_distribution.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/bernstein.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions copying build/lib.linux-x86_64-cpython-313/statsmodels/distributions/tools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/distributions creating build/bdist.linux-x86_64/wheel/statsmodels/interface copying build/lib.linux-x86_64-cpython-313/statsmodels/interface/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/interface creating build/bdist.linux-x86_64/wheel/statsmodels/othermod copying build/lib.linux-x86_64-cpython-313/statsmodels/othermod/betareg.py -> build/bdist.linux-x86_64/wheel/./statsmodels/othermod copying build/lib.linux-x86_64-cpython-313/statsmodels/othermod/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/othermod creating build/bdist.linux-x86_64/wheel/statsmodels/othermod/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/othermod/tests/test_beta.py -> build/bdist.linux-x86_64/wheel/./statsmodels/othermod/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/othermod/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/othermod/tests creating build/bdist.linux-x86_64/wheel/statsmodels/othermod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/othermod/tests/results/resid_methylation.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/othermod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/othermod/tests/results/methylation-test.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/othermod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/othermod/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/othermod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/othermod/tests/results/results_betareg.py -> build/bdist.linux-x86_64/wheel/./statsmodels/othermod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/othermod/tests/results/foodexpenditure.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/othermod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/othermod/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/othermod creating build/bdist.linux-x86_64/wheel/statsmodels/imputation copying build/lib.linux-x86_64-cpython-313/statsmodels/imputation/mice.py -> build/bdist.linux-x86_64/wheel/./statsmodels/imputation copying build/lib.linux-x86_64-cpython-313/statsmodels/imputation/ros.py -> build/bdist.linux-x86_64/wheel/./statsmodels/imputation copying build/lib.linux-x86_64-cpython-313/statsmodels/imputation/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/imputation creating build/bdist.linux-x86_64/wheel/statsmodels/imputation/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/imputation/tests/test_bayes_mi.py -> build/bdist.linux-x86_64/wheel/./statsmodels/imputation/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/imputation/tests/test_mice.py -> build/bdist.linux-x86_64/wheel/./statsmodels/imputation/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/imputation/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/imputation/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/imputation/tests/test_ros.py -> build/bdist.linux-x86_64/wheel/./statsmodels/imputation/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/imputation/bayes_mi.py -> build/bdist.linux-x86_64/wheel/./statsmodels/imputation creating build/bdist.linux-x86_64/wheel/statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/sm_exceptions.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/_test_runner.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/rng_qrng.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/grouputils.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/docstring.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/decorators.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/testing.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/numdiff.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/parallel.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools creating build/bdist.linux-x86_64/wheel/statsmodels/tools/validation copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/validation/validation.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/validation copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/validation/decorators.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/validation copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/validation/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/validation creating build/bdist.linux-x86_64/wheel/statsmodels/tools/validation/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/validation/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/validation/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/validation/tests/test_validation.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/validation/tests creating build/bdist.linux-x86_64/wheel/statsmodels/tools/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests/test_parallel.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests/test_catadd.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests/test_numdiff.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests/test_rootfinding.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests/test_transform_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests/test_linalg.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests/test_testing.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests/test_web.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests/test_data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests/test_decorators.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests/test_grouputils.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests/test_sequences.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests/test_docstring.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests/test_tools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/tests/test_eval_measures.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/_testing.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/eval_measures.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/linalg.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/print_version.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/catadd.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/typing.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/rootfinding.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/sequences.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/web.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/transform_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools copying build/lib.linux-x86_64-cpython-313/statsmodels/tools/tools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tools creating build/bdist.linux-x86_64/wheel/statsmodels/genmod copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/cov_struct.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/bayes_mixed_glm.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/_tweedie_compound_poisson.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/generalized_estimating_equations.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/qif.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod creating build/bdist.linux-x86_64/wheel/statsmodels/genmod/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/gee_simulation_check.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/test_constrained.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/test_glm_weights.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/gee_poisson_simulation_check.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/test_gee_glm.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/test_bayes_mixed_glm.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/test_qif.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/test_glm.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/gee_categorical_simulation_check.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/gee_gaussian_simulation_check.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests creating build/bdist.linux-x86_64/wheel/statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/stata_cancer_glm.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/res_R_var_weight.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/gee_logistic_1.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/igaussident_resids.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/results_tweedie_aweights_nonrobust.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/gee_generate_tests.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/elastic_net_generate_tests.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/gee_nested_linear_1.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/results_glm_poisson_weights.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/stata_medpar1_glm.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/medparlogresids.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/glm_test_resids.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/gee_nominal_1.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/enet_binomial.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/epil.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/enet_poisson.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/glmnet_r_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/gee_poisson_1.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/stata_lbw_glm.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/results_glm.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/iris.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/gee_ordinal_1.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/gee_linear_1.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/results/inv_gaussian.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/test_score_test.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/tests/test_gee.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/generalized_linear_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod creating build/bdist.linux-x86_64/wheel/statsmodels/genmod/families copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/families/family.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/families copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/families/links.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/families copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/families/varfuncs.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/families copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/families/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/families creating build/bdist.linux-x86_64/wheel/statsmodels/genmod/families/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/families/tests/test_family.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/families/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/families/tests/test_link.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/families/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/genmod/families/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/genmod/families/tests creating build/bdist.linux-x86_64/wheel/statsmodels/duration copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/hazard_regression.py -> build/bdist.linux-x86_64/wheel/./statsmodels/duration copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/_kernel_estimates.py -> build/bdist.linux-x86_64/wheel/./statsmodels/duration copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/duration creating build/bdist.linux-x86_64/wheel/statsmodels/duration/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/test_phreg.py -> build/bdist.linux-x86_64/wheel/./statsmodels/duration/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/duration/tests creating build/bdist.linux-x86_64/wheel/statsmodels/duration/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results/phreg_gentests.py -> build/bdist.linux-x86_64/wheel/./statsmodels/duration/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results/survival_data_50_1.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/duration/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/duration/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results/survival_data_1000_10.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/duration/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results/bmt.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/duration/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results/survival_data_20_1.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/duration/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results/bmt_results.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/duration/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results/survival_enet_r_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/duration/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results/survival_data_50_2.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/duration/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results/survival_r_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/duration/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/results/survival_data_100_5.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/duration/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/tests/test_survfunc.py -> build/bdist.linux-x86_64/wheel/./statsmodels/duration/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/duration copying build/lib.linux-x86_64-cpython-313/statsmodels/duration/survfunc.py -> build/bdist.linux-x86_64/wheel/./statsmodels/duration creating build/bdist.linux-x86_64/wheel/statsmodels/emplike copying build/lib.linux-x86_64-cpython-313/statsmodels/emplike/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/emplike creating build/bdist.linux-x86_64/wheel/statsmodels/emplike/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests/test_aft.py -> build/bdist.linux-x86_64/wheel/./statsmodels/emplike/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/emplike/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests/test_descriptive.py -> build/bdist.linux-x86_64/wheel/./statsmodels/emplike/tests creating build/bdist.linux-x86_64/wheel/statsmodels/emplike/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/emplike/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests/results/el_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/emplike/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests/test_origin.py -> build/bdist.linux-x86_64/wheel/./statsmodels/emplike/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests/test_regression.py -> build/bdist.linux-x86_64/wheel/./statsmodels/emplike/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/emplike/tests/test_anova.py -> build/bdist.linux-x86_64/wheel/./statsmodels/emplike/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/emplike/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/emplike copying build/lib.linux-x86_64-cpython-313/statsmodels/emplike/originregress.py -> build/bdist.linux-x86_64/wheel/./statsmodels/emplike copying build/lib.linux-x86_64-cpython-313/statsmodels/emplike/elanova.py -> build/bdist.linux-x86_64/wheel/./statsmodels/emplike copying build/lib.linux-x86_64-cpython-313/statsmodels/emplike/descriptive.py -> build/bdist.linux-x86_64/wheel/./statsmodels/emplike copying build/lib.linux-x86_64-cpython-313/statsmodels/emplike/aft_el.py -> build/bdist.linux-x86_64/wheel/./statsmodels/emplike copying build/lib.linux-x86_64-cpython-313/statsmodels/emplike/elregress.py -> build/bdist.linux-x86_64/wheel/./statsmodels/emplike creating build/bdist.linux-x86_64/wheel/statsmodels/treatment copying build/lib.linux-x86_64-cpython-313/statsmodels/treatment/treatment_effects.py -> build/bdist.linux-x86_64/wheel/./statsmodels/treatment copying build/lib.linux-x86_64-cpython-313/statsmodels/treatment/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/treatment creating build/bdist.linux-x86_64/wheel/statsmodels/treatment/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/treatment/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/treatment/tests creating build/bdist.linux-x86_64/wheel/statsmodels/treatment/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/treatment/tests/results/cataneo2.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/treatment/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/treatment/tests/results/results_teffects.py -> build/bdist.linux-x86_64/wheel/./statsmodels/treatment/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/treatment/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/treatment/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/treatment/tests/test_teffects.py -> build/bdist.linux-x86_64/wheel/./statsmodels/treatment/tests creating build/bdist.linux-x86_64/wheel/statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/base/_constraints.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/base/covtype.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/base/model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/base/optimizer.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/base/_prediction_inference.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/base/transform.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/base/elastic_net.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/base/distributed_estimation.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/base/data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/base/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base creating build/bdist.linux-x86_64/wheel/statsmodels/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/base/tests/test_penalties.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/base/tests/test_distributed_estimation.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/base/tests/test_screening.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/base/tests/test_penalized.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/base/tests/test_transform.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/base/tests/test_generic_methods.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/base/tests/test_shrink_pickle.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/base/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/base/tests/test_data.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/base/tests/test_optimize.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/base/tests/test_predict.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/base/l1_cvxopt.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/base/wrapper.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/base/_parameter_inference.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/base/_screening.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/base/_penalized.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/base/l1_solvers_common.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/base/_penalties.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/base/l1_slsqp.py -> build/bdist.linux-x86_64/wheel/./statsmodels/base copying build/lib.linux-x86_64-cpython-313/statsmodels/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels creating build/bdist.linux-x86_64/wheel/statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/weightstats.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/meta_analysis.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats creating build/bdist.linux-x86_64/wheel/statsmodels/stats/libqsturng copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng/CH.r -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/libqsturng copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng/qsturng_.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/libqsturng copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng/make_tbls.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/libqsturng copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/libqsturng creating build/bdist.linux-x86_64/wheel/statsmodels/stats/libqsturng/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng/tests/bootleg.dat -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/libqsturng/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/libqsturng/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng/tests/test_qsturng.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/libqsturng/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/libqsturng/LICENSE.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/libqsturng copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/_lilliefors_critical_values.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/base.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/contrast.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/robust_compare.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/multitest.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/multicomp.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/correlation_tools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/inter_rater.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tabledist.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/power.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/dist_dependence_measures.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/_lilliefors.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/oaxaca.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/mediation.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/diagnostic.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/moment_helpers.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats creating build/bdist.linux-x86_64/wheel/statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_gof.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_nonparametric.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_weightstats.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_influence.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_contrast.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_contingency_tables.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_tost.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_base.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_correlation.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_inter_rater.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_anova_rm.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_proportion.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_dist_dependant_measures.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_multivariate.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_sandwich.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_tabledist.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_multi.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_regularized_covariance.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_diagnostic.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_descriptivestats.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_moment_helpers.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_diagnostic_other.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_rates_poisson.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests creating build/bdist.linux-x86_64/wheel/statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/results_multinomial_proportions.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/results_power.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/influence_lsdiag_R.json -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/results_meta.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/results_rates.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/lilliefors_critical_value_simulation.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/wspec1.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/influence_measures_bool_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/wspec4.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/influence_measures_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/wspec2.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/bootleg.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/results_proportion.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/framing.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/wspec3.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/results_influence_logit.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/data.dat -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/binary_constrict.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/contingency_table_r_results.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/results/results_panelrobust.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_robust_compare.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_statstools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_lilliefors.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_meta.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_power.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_knockoff.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_oaxaca.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_deltacov.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_panel_robustcov.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_mediation.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_qsturng.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_anova.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_oneway.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_data.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_corrpsd.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_effectsize.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_pairwise.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_outliers_influence.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/tests/test_groups_sw.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/contingency_tables.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/_adnorm.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/descriptivestats.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/multivariate_tools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/anova.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/multivariate.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/oneway.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/regularized_covariance.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/stattools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/knockoff_regeffects.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/proportion.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/nonparametric.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/rates.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/gof.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/_inference_tools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/_knockoff.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/effect_size.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/_delta_method.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/diagnostic_gen.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/sandwich_covariance.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/_diagnostic_other.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats copying build/lib.linux-x86_64-cpython-313/statsmodels/stats/outliers_influence.py -> build/bdist.linux-x86_64/wheel/./statsmodels/stats creating build/bdist.linux-x86_64/wheel/statsmodels/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tests/test_x13.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/tests/test_package.py -> build/bdist.linux-x86_64/wheel/./statsmodels/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels creating build/bdist.linux-x86_64/wheel/statsmodels/compat copying build/lib.linux-x86_64-cpython-313/statsmodels/compat/platform.py -> build/bdist.linux-x86_64/wheel/./statsmodels/compat copying build/lib.linux-x86_64-cpython-313/statsmodels/compat/_scipy_multivariate_t.py -> build/bdist.linux-x86_64/wheel/./statsmodels/compat copying build/lib.linux-x86_64-cpython-313/statsmodels/compat/patsy.py -> build/bdist.linux-x86_64/wheel/./statsmodels/compat copying build/lib.linux-x86_64-cpython-313/statsmodels/compat/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/compat copying build/lib.linux-x86_64-cpython-313/statsmodels/compat/pandas.py -> build/bdist.linux-x86_64/wheel/./statsmodels/compat creating build/bdist.linux-x86_64/wheel/statsmodels/compat/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/compat/tests/test_pandas.py -> build/bdist.linux-x86_64/wheel/./statsmodels/compat/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/compat/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/compat/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/compat/tests/test_scipy_compat.py -> build/bdist.linux-x86_64/wheel/./statsmodels/compat/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/compat/tests/test_itercompat.py -> build/bdist.linux-x86_64/wheel/./statsmodels/compat/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/compat/python.py -> build/bdist.linux-x86_64/wheel/./statsmodels/compat copying build/lib.linux-x86_64-cpython-313/statsmodels/compat/scipy.py -> build/bdist.linux-x86_64/wheel/./statsmodels/compat copying build/lib.linux-x86_64-cpython-313/statsmodels/compat/numpy.py -> build/bdist.linux-x86_64/wheel/./statsmodels/compat copying build/lib.linux-x86_64-cpython-313/statsmodels/compat/pytest.py -> build/bdist.linux-x86_64/wheel/./statsmodels/compat creating build/bdist.linux-x86_64/wheel/statsmodels/multivariate copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/factor.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/multivariate_ols.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate creating build/bdist.linux-x86_64/wheel/statsmodels/multivariate/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests/test_manova.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests/test_cancorr.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests/test_multivariate_ols.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests/test_factor.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests/test_ml_factor.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests/test_pca.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate/tests creating build/bdist.linux-x86_64/wheel/statsmodels/multivariate/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests/results/factors_stata.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests/results/datamlw.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/tests/results/factor_data.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/manova.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/pca.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/cancorr.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/plots.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate creating build/bdist.linux-x86_64/wheel/statsmodels/multivariate/factor_rotation copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/factor_rotation/_analytic_rotation.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate/factor_rotation copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/factor_rotation/_gpa_rotation.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate/factor_rotation copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/factor_rotation/_wrappers.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate/factor_rotation copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/factor_rotation/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate/factor_rotation creating build/bdist.linux-x86_64/wheel/statsmodels/multivariate/factor_rotation/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/factor_rotation/tests/test_rotation.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate/factor_rotation/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/multivariate/factor_rotation/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/multivariate/factor_rotation/tests creating build/bdist.linux-x86_64/wheel/statsmodels/gam creating build/bdist.linux-x86_64/wheel/statsmodels/gam/gam_cross_validation copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/gam_cross_validation/cross_validators.py -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/gam_cross_validation copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/gam_cross_validation/gam_cross_validation.py -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/gam_cross_validation copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/gam_cross_validation/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/gam_cross_validation copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/generalized_additive_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/gam copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/gam creating build/bdist.linux-x86_64/wheel/statsmodels/gam/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/test_penalized.py -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/tests creating build/bdist.linux-x86_64/wheel/statsmodels/gam/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results/autos_exog.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results/results_pls.py -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results/logit_gam_mgcv.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results/results_mpg_bs_poisson.py -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results/motorcycle.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results/gam_PIRLS_results.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results/prediction_from_mgcv.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results/autos.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results/cubic_cyclic_splines_from_mgcv.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results/results_mpg_bs.py -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/results/autos_predict.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/test_gam.py -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/tests/test_smooth_basis.py -> build/bdist.linux-x86_64/wheel/./statsmodels/gam/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/gam copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/gam_penalties.py -> build/bdist.linux-x86_64/wheel/./statsmodels/gam copying build/lib.linux-x86_64-cpython-313/statsmodels/gam/smooth_basis.py -> build/bdist.linux-x86_64/wheel/./statsmodels/gam copying build/lib.linux-x86_64-cpython-313/statsmodels/LICENSE.txt -> build/bdist.linux-x86_64/wheel/./statsmodels creating build/bdist.linux-x86_64/wheel/statsmodels/formula copying build/lib.linux-x86_64-cpython-313/statsmodels/formula/formulatools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/formula copying build/lib.linux-x86_64-cpython-313/statsmodels/formula/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/formula creating build/bdist.linux-x86_64/wheel/statsmodels/formula/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/formula/tests/test_formula.py -> build/bdist.linux-x86_64/wheel/./statsmodels/formula/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/formula/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/formula/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/formula/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/formula copying build/lib.linux-x86_64-cpython-313/statsmodels/setup.cfg -> build/bdist.linux-x86_64/wheel/./statsmodels creating build/bdist.linux-x86_64/wheel/statsmodels/graphics copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/_regressionplots_doc.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/plottools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/gofplots.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/functional.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/dotplots.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tsaplots.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/factorplots.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/plot_grids.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tukeyplot.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics creating build/bdist.linux-x86_64/wheel/statsmodels/graphics/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests/test_gofplots.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests/test_correlation.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests/test_agreement.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests/test_boxplots.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests/test_tsaplots.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests/test_functional.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests/test_dotplot.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests/test_regressionplots.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests/test_mosaicplot.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/tests/test_factorplots.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/mosaicplot.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/correlation.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/boxplots.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/agreement.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/utils.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics copying build/lib.linux-x86_64-cpython-313/statsmodels/graphics/regressionplots.py -> build/bdist.linux-x86_64/wheel/./statsmodels/graphics creating build/bdist.linux-x86_64/wheel/statsmodels/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/dimred.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/recursive_ls.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/_prediction.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/rolling.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/mixed_linear_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/feasible_gls.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression creating build/bdist.linux-x86_64/wheel/statsmodels/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/test_rolling.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/test_cov.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/test_processreg.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/test_dimred.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/test_glsar_gretl.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/test_robustcov.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests creating build/bdist.linux-x86_64/wheel/statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/lme10.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/lme_r_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/lme07.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/pastes.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/theil_textile_predict.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/results_quantile_regression.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/glmnet_r_results.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/results_regression.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/generate_lasso.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/generate_lme.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/lme05.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/lme04.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/lme09.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/lme08.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/lme00.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/lasso_data.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/results_rls_stata.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/lme11.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/lme02.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/results_macro_ols_robust.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/macro_gr_corc_stata.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/results_theil_textile.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/dietox.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/lme01.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/lme06.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/lme03.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/results_grunfeld_ols_robust_cluster.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/leverage_influence_ols_nostars.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/results/results_rls_R.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/test_glsar_stata.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/test_lme.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/test_quantile_regression.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/test_predict.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/test_recursive_ls.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/test_tools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/test_regression.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/tests/test_theil.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/linear_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/process_regression.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/quantile_regression.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression copying build/lib.linux-x86_64-cpython-313/statsmodels/regression/_tools.py -> build/bdist.linux-x86_64/wheel/./statsmodels/regression creating build/bdist.linux-x86_64/wheel/statsmodels/iolib copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/stata_summary_examples.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/foreign.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/table.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/summary2.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/smpickle.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tableformatting.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib creating build/bdist.linux-x86_64/wheel/statsmodels/iolib/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests/test_pickle.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests/test_summary_old.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests/test_summary2.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib/tests creating build/bdist.linux-x86_64/wheel/statsmodels/iolib/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests/results/time_series_examples.dta -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests/results/macrodata.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests/results/data_missing.dta -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests/test_table.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests/test_table_econpy.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/tests/test_summary.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/summary.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib copying build/lib.linux-x86_64-cpython-313/statsmodels/iolib/openfile.py -> build/bdist.linux-x86_64/wheel/./statsmodels/iolib creating build/bdist.linux-x86_64/wheel/statsmodels/miscmodels copying build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/count.py -> build/bdist.linux-x86_64/wheel/./statsmodels/miscmodels copying build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/ordinal_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/miscmodels copying build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/try_mlecov.py -> build/bdist.linux-x86_64/wheel/./statsmodels/miscmodels copying build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/miscmodels creating build/bdist.linux-x86_64/wheel/statsmodels/miscmodels/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests/test_poisson.py -> build/bdist.linux-x86_64/wheel/./statsmodels/miscmodels/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests/test_generic_mle.py -> build/bdist.linux-x86_64/wheel/./statsmodels/miscmodels/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests/test_tmodel.py -> build/bdist.linux-x86_64/wheel/./statsmodels/miscmodels/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests/results_tmodel.py -> build/bdist.linux-x86_64/wheel/./statsmodels/miscmodels/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/miscmodels/tests creating build/bdist.linux-x86_64/wheel/statsmodels/miscmodels/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests/results/ologit_ucla.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/miscmodels/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/miscmodels/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests/results/results_ordinal_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/miscmodels/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tests/test_ordinal_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/miscmodels/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/api.py -> build/bdist.linux-x86_64/wheel/./statsmodels/miscmodels copying build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/tmodel.py -> build/bdist.linux-x86_64/wheel/./statsmodels/miscmodels copying build/lib.linux-x86_64-cpython-313/statsmodels/miscmodels/nonlinls.py -> build/bdist.linux-x86_64/wheel/./statsmodels/miscmodels creating build/bdist.linux-x86_64/wheel/statsmodels/src copying build/lib.linux-x86_64-cpython-313/statsmodels/src/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/src copying build/lib.linux-x86_64-cpython-313/statsmodels/_version.py -> build/bdist.linux-x86_64/wheel/./statsmodels creating build/bdist.linux-x86_64/wheel/statsmodels/robust copying build/lib.linux-x86_64-cpython-313/statsmodels/robust/_qn.cpython-313-x86_64-linux-gnu.so -> build/bdist.linux-x86_64/wheel/./statsmodels/robust copying build/lib.linux-x86_64-cpython-313/statsmodels/robust/norms.py -> build/bdist.linux-x86_64/wheel/./statsmodels/robust copying build/lib.linux-x86_64-cpython-313/statsmodels/robust/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/robust creating build/bdist.linux-x86_64/wheel/statsmodels/robust/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests/test_scale.py -> build/bdist.linux-x86_64/wheel/./statsmodels/robust/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests/test_norms.py -> build/bdist.linux-x86_64/wheel/./statsmodels/robust/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/robust/tests creating build/bdist.linux-x86_64/wheel/statsmodels/robust/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests/results/results_norms.py -> build/bdist.linux-x86_64/wheel/./statsmodels/robust/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/robust/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests/results/results_rlm.py -> build/bdist.linux-x86_64/wheel/./statsmodels/robust/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests/test_mquantiles.py -> build/bdist.linux-x86_64/wheel/./statsmodels/robust/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/robust/tests/test_rlm.py -> build/bdist.linux-x86_64/wheel/./statsmodels/robust/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/robust/robust_linear_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/robust copying build/lib.linux-x86_64-cpython-313/statsmodels/robust/scale.py -> build/bdist.linux-x86_64/wheel/./statsmodels/robust copying build/lib.linux-x86_64-cpython-313/statsmodels/conftest.py -> build/bdist.linux-x86_64/wheel/./statsmodels creating build/bdist.linux-x86_64/wheel/statsmodels/discrete copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/_diagnostics_count.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/conditional_models.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/diagnostic.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete creating build/bdist.linux-x86_64/wheel/statsmodels/discrete/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/test_constrained.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/test_discrete.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/test_truncated_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/test_count_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/test_diagnostic.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/test_sandwich_cov.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/test_margins.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests creating build/bdist.linux-x86_64/wheel/statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/nbinom_resids.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/mnlogit_resid.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/poisson_resid.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/mn_logit_summary.txt -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/results_predict.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/results_count_robust_cluster.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/phat_mnlogit.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/results_count_margins.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/results_truncated.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/results_truncated_st.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/__init__.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/sm3533.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/results_poisson_constrained.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/results_glm_logit_constrained.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/ships.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/predict_prob_poisson.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/yhat_poisson.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/yhat_mnlogit.csv -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/results/results_discrete.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests/results copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/test_predict.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/tests/test_conditional.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete/tests copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/truncated_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/discrete_margins.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/discrete_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete copying build/lib.linux-x86_64-cpython-313/statsmodels/discrete/count_model.py -> build/bdist.linux-x86_64/wheel/./statsmodels/discrete running install_egg_info running egg_info creating statsmodels.egg-info writing statsmodels.egg-info/PKG-INFO writing dependency_links to statsmodels.egg-info/dependency_links.txt writing requirements to statsmodels.egg-info/requires.txt writing top-level names to statsmodels.egg-info/top_level.txt writing manifest file 'statsmodels.egg-info/SOURCES.txt' dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/arrayscalars.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarrayobject.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ndarraytypes.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/npy_math.h won't be automatically included in the manifest: the path must be relative dependency /usr/lib/x86_64-linux-gnu/python3-numpy/numpy/_core/include/numpy/ufuncobject.h won't be automatically included in the manifest: the path must be relative reading manifest file 'statsmodels.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' warning: no files found matching '*.pxi' anywhere in distribution warning: no previously-included files matching '*' found under directory 'dist' warning: no previously-included files found matching 'docs/source/generated/*' warning: no files found matching '*' under directory 'docs/sphinxext' warning: no files found matching '*' under directory 'docs/themes' warning: no previously-included files matching '*' found under directory 'docs/build' warning: no previously-included files matching '*' found under directory 'docs/build/htmlhelp' warning: no files found matching 'statsmodels/statsmodelsdoc.chm' no previously-included directories found matching '*/__pycache__' warning: no previously-included files matching '*~' found anywhere in distribution warning: no previously-included files matching '*.swp' found anywhere in distribution warning: no previously-included files matching '*.pyc' found anywhere in distribution warning: no previously-included files matching '*.pyo' found anywhere in distribution warning: no previously-included files matching '*.bak' found anywhere in distribution adding license file 'LICENSE.txt' writing manifest file 'statsmodels.egg-info/SOURCES.txt' Copying statsmodels.egg-info to build/bdist.linux-x86_64/wheel/./statsmodels-0.14.5+dfsg.egg-info running install_scripts creating build/bdist.linux-x86_64/wheel/statsmodels-0.14.5+dfsg.dist-info/WHEEL creating '/build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/.tmp-ddvc03r0/statsmodels-0.14.5+dfsg-cp313-cp313-linux_x86_64.whl' and adding 'build/bdist.linux-x86_64/wheel' to it adding 'statsmodels/LICENSE.txt' adding 'statsmodels/__init__.py' adding 'statsmodels/_version.py' adding 'statsmodels/api.py' adding 'statsmodels/conftest.py' adding 'statsmodels/setup.cfg' adding 'statsmodels/base/__init__.py' adding 'statsmodels/base/_constraints.py' adding 'statsmodels/base/_parameter_inference.py' adding 'statsmodels/base/_penalized.py' adding 'statsmodels/base/_penalties.py' adding 'statsmodels/base/_prediction_inference.py' adding 'statsmodels/base/_screening.py' adding 'statsmodels/base/covtype.py' adding 'statsmodels/base/data.py' adding 'statsmodels/base/distributed_estimation.py' adding 'statsmodels/base/elastic_net.py' adding 'statsmodels/base/l1_cvxopt.py' adding 'statsmodels/base/l1_slsqp.py' adding 'statsmodels/base/l1_solvers_common.py' adding 'statsmodels/base/model.py' adding 'statsmodels/base/optimizer.py' adding 'statsmodels/base/transform.py' adding 'statsmodels/base/wrapper.py' adding 'statsmodels/base/tests/__init__.py' adding 'statsmodels/base/tests/test_data.py' adding 'statsmodels/base/tests/test_distributed_estimation.py' adding 'statsmodels/base/tests/test_generic_methods.py' adding 'statsmodels/base/tests/test_optimize.py' adding 'statsmodels/base/tests/test_penalized.py' adding 'statsmodels/base/tests/test_penalties.py' adding 'statsmodels/base/tests/test_predict.py' adding 'statsmodels/base/tests/test_screening.py' adding 'statsmodels/base/tests/test_shrink_pickle.py' adding 'statsmodels/base/tests/test_transform.py' adding 'statsmodels/compat/__init__.py' adding 'statsmodels/compat/_scipy_multivariate_t.py' adding 'statsmodels/compat/numpy.py' adding 'statsmodels/compat/pandas.py' adding 'statsmodels/compat/patsy.py' adding 'statsmodels/compat/platform.py' adding 'statsmodels/compat/pytest.py' adding 'statsmodels/compat/python.py' adding 'statsmodels/compat/scipy.py' adding 'statsmodels/compat/tests/__init__.py' adding 'statsmodels/compat/tests/test_itercompat.py' adding 'statsmodels/compat/tests/test_pandas.py' adding 'statsmodels/compat/tests/test_scipy_compat.py' adding 'statsmodels/datasets/__init__.py' adding 'statsmodels/datasets/template_data.py' adding 'statsmodels/datasets/utils.py' adding 'statsmodels/datasets/anes96/__init__.py' adding 'statsmodels/datasets/anes96/anes96.csv' adding 'statsmodels/datasets/anes96/data.py' adding 'statsmodels/datasets/cancer/__init__.py' adding 'statsmodels/datasets/cancer/cancer.csv' adding 'statsmodels/datasets/cancer/data.py' adding 'statsmodels/datasets/ccard/__init__.py' adding 'statsmodels/datasets/ccard/ccard.csv' adding 'statsmodels/datasets/ccard/data.py' adding 'statsmodels/datasets/china_smoking/__init__.py' adding 'statsmodels/datasets/china_smoking/china_smoking.csv' adding 'statsmodels/datasets/china_smoking/data.py' adding 'statsmodels/datasets/co2/__init__.py' adding 'statsmodels/datasets/co2/co2.csv' adding 'statsmodels/datasets/co2/data.py' adding 'statsmodels/datasets/committee/__init__.py' adding 'statsmodels/datasets/committee/committee.csv' adding 'statsmodels/datasets/committee/data.py' adding 'statsmodels/datasets/copper/__init__.py' adding 'statsmodels/datasets/copper/copper.csv' adding 'statsmodels/datasets/copper/data.py' adding 'statsmodels/datasets/cpunish/__init__.py' adding 'statsmodels/datasets/cpunish/cpunish.csv' adding 'statsmodels/datasets/cpunish/data.py' adding 'statsmodels/datasets/danish_data/__init__.py' adding 'statsmodels/datasets/danish_data/data.csv' adding 'statsmodels/datasets/danish_data/data.py' adding 'statsmodels/datasets/elec_equip/__init__.py' adding 'statsmodels/datasets/elec_equip/data.py' adding 'statsmodels/datasets/elec_equip/elec_equip.csv' adding 'statsmodels/datasets/elnino/__init__.py' adding 'statsmodels/datasets/elnino/data.py' adding 'statsmodels/datasets/elnino/elnino.csv' adding 'statsmodels/datasets/engel/__init__.py' adding 'statsmodels/datasets/engel/data.py' adding 'statsmodels/datasets/engel/engel.csv' adding 'statsmodels/datasets/fair/__init__.py' adding 'statsmodels/datasets/fair/data.py' adding 'statsmodels/datasets/fair/fair.csv' adding 'statsmodels/datasets/fair/fair_pt.csv' adding 'statsmodels/datasets/fertility/__init__.py' adding 'statsmodels/datasets/fertility/data.py' adding 'statsmodels/datasets/fertility/fertility.csv' adding 'statsmodels/datasets/grunfeld/__init__.py' adding 'statsmodels/datasets/grunfeld/data.py' adding 'statsmodels/datasets/grunfeld/grunfeld.csv' adding 'statsmodels/datasets/heart/__init__.py' adding 'statsmodels/datasets/heart/data.py' adding 'statsmodels/datasets/heart/heart.csv' adding 'statsmodels/datasets/interest_inflation/E6.csv' adding 'statsmodels/datasets/interest_inflation/E6_jmulti.csv' adding 'statsmodels/datasets/interest_inflation/__init__.py' adding 'statsmodels/datasets/interest_inflation/data.py' adding 'statsmodels/datasets/longley/__init__.py' adding 'statsmodels/datasets/longley/data.py' adding 'statsmodels/datasets/longley/longley.csv' adding 'statsmodels/datasets/macrodata/__init__.py' adding 'statsmodels/datasets/macrodata/data.py' adding 'statsmodels/datasets/macrodata/macrodata.csv' adding 'statsmodels/datasets/macrodata/macrodata.dta' adding 'statsmodels/datasets/modechoice/__init__.py' adding 'statsmodels/datasets/modechoice/data.py' adding 'statsmodels/datasets/modechoice/modechoice.csv' adding 'statsmodels/datasets/nile/__init__.py' adding 'statsmodels/datasets/nile/data.py' adding 'statsmodels/datasets/nile/nile.csv' adding 'statsmodels/datasets/randhie/__init__.py' adding 'statsmodels/datasets/randhie/data.py' adding 'statsmodels/datasets/randhie/randhie.csv' adding 'statsmodels/datasets/scotland/__init__.py' adding 'statsmodels/datasets/scotland/data.py' adding 'statsmodels/datasets/scotland/scotvote.csv' adding 'statsmodels/datasets/spector/__init__.py' adding 'statsmodels/datasets/spector/data.py' adding 'statsmodels/datasets/spector/spector.csv' adding 'statsmodels/datasets/stackloss/__init__.py' adding 'statsmodels/datasets/stackloss/data.py' adding 'statsmodels/datasets/stackloss/stackloss.csv' adding 'statsmodels/datasets/star98/__init__.py' adding 'statsmodels/datasets/star98/data.py' adding 'statsmodels/datasets/star98/star98.csv' adding 'statsmodels/datasets/statecrime/__init__.py' adding 'statsmodels/datasets/statecrime/data.py' adding 'statsmodels/datasets/statecrime/statecrime.csv' adding 'statsmodels/datasets/strikes/__init__.py' adding 'statsmodels/datasets/strikes/data.py' adding 'statsmodels/datasets/strikes/strikes.csv' adding 'statsmodels/datasets/sunspots/__init__.py' adding 'statsmodels/datasets/sunspots/data.py' adding 'statsmodels/datasets/sunspots/sunspots.csv' adding 'statsmodels/datasets/tests/__init__.py' adding 'statsmodels/datasets/tests/test_data.py' adding 'statsmodels/datasets/tests/test_utils.py' adding 'statsmodels/discrete/__init__.py' adding 'statsmodels/discrete/_diagnostics_count.py' adding 'statsmodels/discrete/conditional_models.py' adding 'statsmodels/discrete/count_model.py' adding 'statsmodels/discrete/diagnostic.py' adding 'statsmodels/discrete/discrete_margins.py' adding 'statsmodels/discrete/discrete_model.py' adding 'statsmodels/discrete/truncated_model.py' adding 'statsmodels/discrete/tests/__init__.py' adding 'statsmodels/discrete/tests/test_conditional.py' adding 'statsmodels/discrete/tests/test_constrained.py' adding 'statsmodels/discrete/tests/test_count_model.py' adding 'statsmodels/discrete/tests/test_diagnostic.py' adding 'statsmodels/discrete/tests/test_discrete.py' adding 'statsmodels/discrete/tests/test_margins.py' adding 'statsmodels/discrete/tests/test_predict.py' adding 'statsmodels/discrete/tests/test_sandwich_cov.py' adding 'statsmodels/discrete/tests/test_truncated_model.py' adding 'statsmodels/discrete/tests/results/__init__.py' adding 'statsmodels/discrete/tests/results/mn_logit_summary.txt' adding 'statsmodels/discrete/tests/results/mnlogit_resid.csv' adding 'statsmodels/discrete/tests/results/nbinom_resids.csv' adding 'statsmodels/discrete/tests/results/phat_mnlogit.csv' adding 'statsmodels/discrete/tests/results/poisson_resid.csv' adding 'statsmodels/discrete/tests/results/predict_prob_poisson.csv' adding 'statsmodels/discrete/tests/results/results_count_margins.py' adding 'statsmodels/discrete/tests/results/results_count_robust_cluster.py' adding 'statsmodels/discrete/tests/results/results_discrete.py' adding 'statsmodels/discrete/tests/results/results_glm_logit_constrained.py' adding 'statsmodels/discrete/tests/results/results_poisson_constrained.py' adding 'statsmodels/discrete/tests/results/results_predict.py' adding 'statsmodels/discrete/tests/results/results_truncated.py' adding 'statsmodels/discrete/tests/results/results_truncated_st.py' adding 'statsmodels/discrete/tests/results/ships.csv' adding 'statsmodels/discrete/tests/results/sm3533.csv' adding 'statsmodels/discrete/tests/results/yhat_mnlogit.csv' adding 'statsmodels/discrete/tests/results/yhat_poisson.csv' adding 'statsmodels/distributions/__init__.py' adding 'statsmodels/distributions/bernstein.py' adding 'statsmodels/distributions/discrete.py' adding 'statsmodels/distributions/edgeworth.py' adding 'statsmodels/distributions/empirical_distribution.py' adding 'statsmodels/distributions/mixture_rvs.py' adding 'statsmodels/distributions/tools.py' adding 'statsmodels/distributions/copula/__init__.py' adding 'statsmodels/distributions/copula/_special.py' adding 'statsmodels/distributions/copula/api.py' adding 'statsmodels/distributions/copula/archimedean.py' adding 'statsmodels/distributions/copula/copulas.py' adding 'statsmodels/distributions/copula/depfunc_ev.py' adding 'statsmodels/distributions/copula/elliptical.py' adding 'statsmodels/distributions/copula/extreme_value.py' adding 'statsmodels/distributions/copula/other_copulas.py' adding 'statsmodels/distributions/copula/transforms.py' adding 'statsmodels/distributions/tests/__init__.py' adding 'statsmodels/distributions/tests/test_bernstein.py' adding 'statsmodels/distributions/tests/test_discrete.py' adding 'statsmodels/distributions/tests/test_ecdf.py' adding 'statsmodels/distributions/tests/test_edgeworth.py' adding 'statsmodels/distributions/tests/test_mixture.py' adding 'statsmodels/distributions/tests/test_tools.py' adding 'statsmodels/duration/__init__.py' adding 'statsmodels/duration/_kernel_estimates.py' adding 'statsmodels/duration/api.py' adding 'statsmodels/duration/hazard_regression.py' adding 'statsmodels/duration/survfunc.py' adding 'statsmodels/duration/tests/__init__.py' adding 'statsmodels/duration/tests/test_phreg.py' adding 'statsmodels/duration/tests/test_survfunc.py' adding 'statsmodels/duration/tests/results/__init__.py' adding 'statsmodels/duration/tests/results/bmt.csv' adding 'statsmodels/duration/tests/results/bmt_results.csv' adding 'statsmodels/duration/tests/results/phreg_gentests.py' adding 'statsmodels/duration/tests/results/survival_data_1000_10.csv' adding 'statsmodels/duration/tests/results/survival_data_100_5.csv' adding 'statsmodels/duration/tests/results/survival_data_20_1.csv' adding 'statsmodels/duration/tests/results/survival_data_50_1.csv' adding 'statsmodels/duration/tests/results/survival_data_50_2.csv' adding 'statsmodels/duration/tests/results/survival_enet_r_results.py' adding 'statsmodels/duration/tests/results/survival_r_results.py' adding 'statsmodels/emplike/__init__.py' adding 'statsmodels/emplike/aft_el.py' adding 'statsmodels/emplike/api.py' adding 'statsmodels/emplike/descriptive.py' adding 'statsmodels/emplike/elanova.py' adding 'statsmodels/emplike/elregress.py' adding 'statsmodels/emplike/originregress.py' adding 'statsmodels/emplike/tests/__init__.py' adding 'statsmodels/emplike/tests/test_aft.py' adding 'statsmodels/emplike/tests/test_anova.py' adding 'statsmodels/emplike/tests/test_descriptive.py' adding 'statsmodels/emplike/tests/test_origin.py' adding 'statsmodels/emplike/tests/test_regression.py' adding 'statsmodels/emplike/tests/results/__init__.py' adding 'statsmodels/emplike/tests/results/el_results.py' adding 'statsmodels/formula/__init__.py' adding 'statsmodels/formula/api.py' adding 'statsmodels/formula/formulatools.py' adding 'statsmodels/formula/tests/__init__.py' adding 'statsmodels/formula/tests/test_formula.py' adding 'statsmodels/gam/__init__.py' adding 'statsmodels/gam/api.py' adding 'statsmodels/gam/gam_penalties.py' adding 'statsmodels/gam/generalized_additive_model.py' adding 'statsmodels/gam/smooth_basis.py' adding 'statsmodels/gam/gam_cross_validation/__init__.py' adding 'statsmodels/gam/gam_cross_validation/cross_validators.py' adding 'statsmodels/gam/gam_cross_validation/gam_cross_validation.py' adding 'statsmodels/gam/tests/__init__.py' adding 'statsmodels/gam/tests/test_gam.py' adding 'statsmodels/gam/tests/test_penalized.py' adding 'statsmodels/gam/tests/test_smooth_basis.py' adding 'statsmodels/gam/tests/results/__init__.py' adding 'statsmodels/gam/tests/results/autos.csv' adding 'statsmodels/gam/tests/results/autos_exog.csv' adding 'statsmodels/gam/tests/results/autos_predict.csv' adding 'statsmodels/gam/tests/results/cubic_cyclic_splines_from_mgcv.csv' adding 'statsmodels/gam/tests/results/gam_PIRLS_results.csv' adding 'statsmodels/gam/tests/results/logit_gam_mgcv.csv' adding 'statsmodels/gam/tests/results/motorcycle.csv' adding 'statsmodels/gam/tests/results/prediction_from_mgcv.csv' adding 'statsmodels/gam/tests/results/results_mpg_bs.py' adding 'statsmodels/gam/tests/results/results_mpg_bs_poisson.py' adding 'statsmodels/gam/tests/results/results_pls.py' adding 'statsmodels/genmod/__init__.py' adding 'statsmodels/genmod/_tweedie_compound_poisson.py' adding 'statsmodels/genmod/api.py' adding 'statsmodels/genmod/bayes_mixed_glm.py' adding 'statsmodels/genmod/cov_struct.py' adding 'statsmodels/genmod/generalized_estimating_equations.py' adding 'statsmodels/genmod/generalized_linear_model.py' adding 'statsmodels/genmod/qif.py' adding 'statsmodels/genmod/families/__init__.py' adding 'statsmodels/genmod/families/family.py' adding 'statsmodels/genmod/families/links.py' adding 'statsmodels/genmod/families/varfuncs.py' adding 'statsmodels/genmod/families/tests/__init__.py' adding 'statsmodels/genmod/families/tests/test_family.py' adding 'statsmodels/genmod/families/tests/test_link.py' adding 'statsmodels/genmod/tests/__init__.py' adding 'statsmodels/genmod/tests/gee_categorical_simulation_check.py' adding 'statsmodels/genmod/tests/gee_gaussian_simulation_check.py' adding 'statsmodels/genmod/tests/gee_poisson_simulation_check.py' adding 'statsmodels/genmod/tests/gee_simulation_check.py' adding 'statsmodels/genmod/tests/test_bayes_mixed_glm.py' adding 'statsmodels/genmod/tests/test_constrained.py' adding 'statsmodels/genmod/tests/test_gee.py' adding 'statsmodels/genmod/tests/test_gee_glm.py' adding 'statsmodels/genmod/tests/test_glm.py' adding 'statsmodels/genmod/tests/test_glm_weights.py' adding 'statsmodels/genmod/tests/test_qif.py' adding 'statsmodels/genmod/tests/test_score_test.py' adding 'statsmodels/genmod/tests/results/__init__.py' adding 'statsmodels/genmod/tests/results/elastic_net_generate_tests.py' adding 'statsmodels/genmod/tests/results/enet_binomial.csv' adding 'statsmodels/genmod/tests/results/enet_poisson.csv' adding 'statsmodels/genmod/tests/results/epil.csv' adding 'statsmodels/genmod/tests/results/gee_generate_tests.py' adding 'statsmodels/genmod/tests/results/gee_linear_1.csv' adding 'statsmodels/genmod/tests/results/gee_logistic_1.csv' adding 'statsmodels/genmod/tests/results/gee_nested_linear_1.csv' adding 'statsmodels/genmod/tests/results/gee_nominal_1.csv' adding 'statsmodels/genmod/tests/results/gee_ordinal_1.csv' adding 'statsmodels/genmod/tests/results/gee_poisson_1.csv' adding 'statsmodels/genmod/tests/results/glm_test_resids.py' adding 'statsmodels/genmod/tests/results/glmnet_r_results.py' adding 'statsmodels/genmod/tests/results/igaussident_resids.csv' adding 'statsmodels/genmod/tests/results/inv_gaussian.csv' adding 'statsmodels/genmod/tests/results/iris.csv' adding 'statsmodels/genmod/tests/results/medparlogresids.csv' adding 'statsmodels/genmod/tests/results/res_R_var_weight.py' adding 'statsmodels/genmod/tests/results/results_glm.py' adding 'statsmodels/genmod/tests/results/results_glm_poisson_weights.py' adding 'statsmodels/genmod/tests/results/results_tweedie_aweights_nonrobust.csv' adding 'statsmodels/genmod/tests/results/stata_cancer_glm.csv' adding 'statsmodels/genmod/tests/results/stata_lbw_glm.csv' adding 'statsmodels/genmod/tests/results/stata_medpar1_glm.csv' adding 'statsmodels/graphics/__init__.py' adding 'statsmodels/graphics/_regressionplots_doc.py' adding 'statsmodels/graphics/agreement.py' adding 'statsmodels/graphics/api.py' adding 'statsmodels/graphics/boxplots.py' adding 'statsmodels/graphics/correlation.py' adding 'statsmodels/graphics/dotplots.py' adding 'statsmodels/graphics/factorplots.py' adding 'statsmodels/graphics/functional.py' adding 'statsmodels/graphics/gofplots.py' adding 'statsmodels/graphics/mosaicplot.py' adding 'statsmodels/graphics/plot_grids.py' adding 'statsmodels/graphics/plottools.py' adding 'statsmodels/graphics/regressionplots.py' adding 'statsmodels/graphics/tsaplots.py' adding 'statsmodels/graphics/tukeyplot.py' adding 'statsmodels/graphics/utils.py' adding 'statsmodels/graphics/tests/__init__.py' adding 'statsmodels/graphics/tests/test_agreement.py' adding 'statsmodels/graphics/tests/test_boxplots.py' adding 'statsmodels/graphics/tests/test_correlation.py' adding 'statsmodels/graphics/tests/test_dotplot.py' adding 'statsmodels/graphics/tests/test_factorplots.py' adding 'statsmodels/graphics/tests/test_functional.py' adding 'statsmodels/graphics/tests/test_gofplots.py' adding 'statsmodels/graphics/tests/test_mosaicplot.py' adding 'statsmodels/graphics/tests/test_regressionplots.py' adding 'statsmodels/graphics/tests/test_tsaplots.py' adding 'statsmodels/imputation/__init__.py' adding 'statsmodels/imputation/bayes_mi.py' adding 'statsmodels/imputation/mice.py' adding 'statsmodels/imputation/ros.py' adding 'statsmodels/imputation/tests/__init__.py' adding 'statsmodels/imputation/tests/test_bayes_mi.py' adding 'statsmodels/imputation/tests/test_mice.py' adding 'statsmodels/imputation/tests/test_ros.py' adding 'statsmodels/interface/__init__.py' adding 'statsmodels/iolib/__init__.py' adding 'statsmodels/iolib/api.py' adding 'statsmodels/iolib/foreign.py' adding 'statsmodels/iolib/openfile.py' adding 'statsmodels/iolib/smpickle.py' adding 'statsmodels/iolib/stata_summary_examples.py' adding 'statsmodels/iolib/summary.py' adding 'statsmodels/iolib/summary2.py' adding 'statsmodels/iolib/table.py' adding 'statsmodels/iolib/tableformatting.py' adding 'statsmodels/iolib/tests/__init__.py' adding 'statsmodels/iolib/tests/test_pickle.py' adding 'statsmodels/iolib/tests/test_summary.py' adding 'statsmodels/iolib/tests/test_summary2.py' adding 'statsmodels/iolib/tests/test_summary_old.py' adding 'statsmodels/iolib/tests/test_table.py' adding 'statsmodels/iolib/tests/test_table_econpy.py' adding 'statsmodels/iolib/tests/results/__init__.py' adding 'statsmodels/iolib/tests/results/data_missing.dta' adding 'statsmodels/iolib/tests/results/macrodata.py' adding 'statsmodels/iolib/tests/results/time_series_examples.dta' adding 'statsmodels/miscmodels/__init__.py' adding 'statsmodels/miscmodels/api.py' adding 'statsmodels/miscmodels/count.py' adding 'statsmodels/miscmodels/nonlinls.py' adding 'statsmodels/miscmodels/ordinal_model.py' adding 'statsmodels/miscmodels/tmodel.py' adding 'statsmodels/miscmodels/try_mlecov.py' adding 'statsmodels/miscmodels/tests/__init__.py' adding 'statsmodels/miscmodels/tests/results_tmodel.py' adding 'statsmodels/miscmodels/tests/test_generic_mle.py' adding 'statsmodels/miscmodels/tests/test_ordinal_model.py' adding 'statsmodels/miscmodels/tests/test_poisson.py' adding 'statsmodels/miscmodels/tests/test_tmodel.py' adding 'statsmodels/miscmodels/tests/results/__init__.py' adding 'statsmodels/miscmodels/tests/results/ologit_ucla.csv' adding 'statsmodels/miscmodels/tests/results/results_ordinal_model.py' adding 'statsmodels/multivariate/__init__.py' adding 'statsmodels/multivariate/api.py' adding 'statsmodels/multivariate/cancorr.py' adding 'statsmodels/multivariate/factor.py' adding 'statsmodels/multivariate/manova.py' adding 'statsmodels/multivariate/multivariate_ols.py' adding 'statsmodels/multivariate/pca.py' adding 'statsmodels/multivariate/plots.py' adding 'statsmodels/multivariate/factor_rotation/__init__.py' adding 'statsmodels/multivariate/factor_rotation/_analytic_rotation.py' adding 'statsmodels/multivariate/factor_rotation/_gpa_rotation.py' adding 'statsmodels/multivariate/factor_rotation/_wrappers.py' adding 'statsmodels/multivariate/factor_rotation/tests/__init__.py' adding 'statsmodels/multivariate/factor_rotation/tests/test_rotation.py' adding 'statsmodels/multivariate/tests/__init__.py' adding 'statsmodels/multivariate/tests/test_cancorr.py' adding 'statsmodels/multivariate/tests/test_factor.py' adding 'statsmodels/multivariate/tests/test_manova.py' adding 'statsmodels/multivariate/tests/test_ml_factor.py' adding 'statsmodels/multivariate/tests/test_multivariate_ols.py' adding 'statsmodels/multivariate/tests/test_pca.py' adding 'statsmodels/multivariate/tests/results/__init__.py' adding 'statsmodels/multivariate/tests/results/datamlw.py' adding 'statsmodels/multivariate/tests/results/factor_data.csv' adding 'statsmodels/multivariate/tests/results/factors_stata.csv' adding 'statsmodels/nonparametric/__init__.py' adding 'statsmodels/nonparametric/_kernel_base.py' adding 'statsmodels/nonparametric/_smoothers_lowess.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/nonparametric/api.py' adding 'statsmodels/nonparametric/bandwidths.py' adding 'statsmodels/nonparametric/kde.py' adding 'statsmodels/nonparametric/kdetools.py' adding 'statsmodels/nonparametric/kernel_density.py' adding 'statsmodels/nonparametric/kernel_regression.py' adding 'statsmodels/nonparametric/kernels.py' adding 'statsmodels/nonparametric/kernels_asymmetric.py' adding 'statsmodels/nonparametric/linbin.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/nonparametric/smoothers_lowess.py' adding 'statsmodels/nonparametric/smoothers_lowess_old.py' adding 'statsmodels/nonparametric/tests/__init__.py' adding 'statsmodels/nonparametric/tests/test_asymmetric.py' adding 'statsmodels/nonparametric/tests/test_bandwidths.py' adding 'statsmodels/nonparametric/tests/test_kde.py' adding 'statsmodels/nonparametric/tests/test_kernel_density.py' adding 'statsmodels/nonparametric/tests/test_kernel_regression.py' adding 'statsmodels/nonparametric/tests/test_kernels.py' adding 'statsmodels/nonparametric/tests/test_lowess.py' adding 'statsmodels/nonparametric/tests/results/__init__.py' adding 'statsmodels/nonparametric/tests/results/results_kcde.csv' adding 'statsmodels/nonparametric/tests/results/results_kde.csv' adding 'statsmodels/nonparametric/tests/results/results_kde_fft.csv' adding 'statsmodels/nonparametric/tests/results/results_kde_univ_weights.csv' adding 'statsmodels/nonparametric/tests/results/results_kde_weights.csv' adding 'statsmodels/nonparametric/tests/results/results_kernel_regression.csv' adding 'statsmodels/nonparametric/tests/results/test_lowess_delta.csv' adding 'statsmodels/nonparametric/tests/results/test_lowess_frac.csv' adding 'statsmodels/nonparametric/tests/results/test_lowess_iter.csv' adding 'statsmodels/nonparametric/tests/results/test_lowess_simple.csv' adding 'statsmodels/othermod/__init__.py' adding 'statsmodels/othermod/api.py' adding 'statsmodels/othermod/betareg.py' adding 'statsmodels/othermod/tests/__init__.py' adding 'statsmodels/othermod/tests/test_beta.py' adding 'statsmodels/othermod/tests/results/__init__.py' adding 'statsmodels/othermod/tests/results/foodexpenditure.csv' adding 'statsmodels/othermod/tests/results/methylation-test.csv' adding 'statsmodels/othermod/tests/results/resid_methylation.csv' adding 'statsmodels/othermod/tests/results/results_betareg.py' adding 'statsmodels/regression/__init__.py' adding 'statsmodels/regression/_prediction.py' adding 'statsmodels/regression/_tools.py' adding 'statsmodels/regression/dimred.py' adding 'statsmodels/regression/feasible_gls.py' adding 'statsmodels/regression/linear_model.py' adding 'statsmodels/regression/mixed_linear_model.py' adding 'statsmodels/regression/process_regression.py' adding 'statsmodels/regression/quantile_regression.py' adding 'statsmodels/regression/recursive_ls.py' adding 'statsmodels/regression/rolling.py' adding 'statsmodels/regression/tests/__init__.py' adding 'statsmodels/regression/tests/test_cov.py' adding 'statsmodels/regression/tests/test_dimred.py' adding 'statsmodels/regression/tests/test_glsar_gretl.py' adding 'statsmodels/regression/tests/test_glsar_stata.py' adding 'statsmodels/regression/tests/test_lme.py' adding 'statsmodels/regression/tests/test_predict.py' adding 'statsmodels/regression/tests/test_processreg.py' adding 'statsmodels/regression/tests/test_quantile_regression.py' adding 'statsmodels/regression/tests/test_recursive_ls.py' adding 'statsmodels/regression/tests/test_regression.py' adding 'statsmodels/regression/tests/test_robustcov.py' adding 'statsmodels/regression/tests/test_rolling.py' adding 'statsmodels/regression/tests/test_theil.py' adding 'statsmodels/regression/tests/test_tools.py' adding 'statsmodels/regression/tests/results/__init__.py' adding 'statsmodels/regression/tests/results/dietox.csv' adding 'statsmodels/regression/tests/results/generate_lasso.py' adding 'statsmodels/regression/tests/results/generate_lme.py' adding 'statsmodels/regression/tests/results/glmnet_r_results.py' adding 'statsmodels/regression/tests/results/lasso_data.csv' adding 'statsmodels/regression/tests/results/leverage_influence_ols_nostars.txt' adding 'statsmodels/regression/tests/results/lme00.csv' adding 'statsmodels/regression/tests/results/lme01.csv' adding 'statsmodels/regression/tests/results/lme02.csv' adding 'statsmodels/regression/tests/results/lme03.csv' adding 'statsmodels/regression/tests/results/lme04.csv' adding 'statsmodels/regression/tests/results/lme05.csv' adding 'statsmodels/regression/tests/results/lme06.csv' adding 'statsmodels/regression/tests/results/lme07.csv' adding 'statsmodels/regression/tests/results/lme08.csv' adding 'statsmodels/regression/tests/results/lme09.csv' adding 'statsmodels/regression/tests/results/lme10.csv' adding 'statsmodels/regression/tests/results/lme11.csv' adding 'statsmodels/regression/tests/results/lme_r_results.py' adding 'statsmodels/regression/tests/results/macro_gr_corc_stata.py' adding 'statsmodels/regression/tests/results/pastes.csv' adding 'statsmodels/regression/tests/results/results_grunfeld_ols_robust_cluster.py' adding 'statsmodels/regression/tests/results/results_macro_ols_robust.py' adding 'statsmodels/regression/tests/results/results_quantile_regression.py' adding 'statsmodels/regression/tests/results/results_regression.py' adding 'statsmodels/regression/tests/results/results_rls_R.csv' adding 'statsmodels/regression/tests/results/results_rls_stata.csv' adding 'statsmodels/regression/tests/results/results_theil_textile.py' adding 'statsmodels/regression/tests/results/theil_textile_predict.csv' adding 'statsmodels/robust/__init__.py' adding 'statsmodels/robust/_qn.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/robust/norms.py' adding 'statsmodels/robust/robust_linear_model.py' adding 'statsmodels/robust/scale.py' adding 'statsmodels/robust/tests/__init__.py' adding 'statsmodels/robust/tests/test_mquantiles.py' adding 'statsmodels/robust/tests/test_norms.py' adding 'statsmodels/robust/tests/test_rlm.py' adding 'statsmodels/robust/tests/test_scale.py' adding 'statsmodels/robust/tests/results/__init__.py' adding 'statsmodels/robust/tests/results/results_norms.py' adding 'statsmodels/robust/tests/results/results_rlm.py' adding 'statsmodels/sandbox/__init__.py' adding 'statsmodels/sandbox/bspline.py' adding 'statsmodels/sandbox/descstats.py' adding 'statsmodels/sandbox/gam.py' adding 'statsmodels/sandbox/infotheo.py' adding 'statsmodels/sandbox/mle.py' adding 'statsmodels/sandbox/multilinear.py' adding 'statsmodels/sandbox/pca.py' adding 'statsmodels/sandbox/predict_functional.py' adding 'statsmodels/sandbox/rls.py' adding 'statsmodels/sandbox/sysreg.py' adding 'statsmodels/sandbox/archive/__init__.py' adding 'statsmodels/sandbox/archive/linalg_covmat.py' adding 'statsmodels/sandbox/archive/linalg_decomp_1.py' adding 'statsmodels/sandbox/archive/tsa.py' adding 'statsmodels/sandbox/datarich/__init__.py' adding 'statsmodels/sandbox/datarich/factormodels.py' adding 'statsmodels/sandbox/distributions/__init__.py' adding 'statsmodels/sandbox/distributions/estimators.py' adding 'statsmodels/sandbox/distributions/extras.py' adding 'statsmodels/sandbox/distributions/genpareto.py' adding 'statsmodels/sandbox/distributions/gof_new.py' adding 'statsmodels/sandbox/distributions/multivariate.py' adding 'statsmodels/sandbox/distributions/mv_measures.py' adding 'statsmodels/sandbox/distributions/mv_normal.py' adding 'statsmodels/sandbox/distributions/otherdist.py' adding 'statsmodels/sandbox/distributions/quantize.py' adding 'statsmodels/sandbox/distributions/sppatch.py' adding 'statsmodels/sandbox/distributions/transform_functions.py' adding 'statsmodels/sandbox/distributions/transformed.py' adding 'statsmodels/sandbox/distributions/try_max.py' adding 'statsmodels/sandbox/distributions/try_pot.py' adding 'statsmodels/sandbox/distributions/examples/__init__.py' adding 'statsmodels/sandbox/distributions/examples/ex_extras.py' adding 'statsmodels/sandbox/distributions/examples/ex_fitfr.py' adding 'statsmodels/sandbox/distributions/examples/ex_gof.py' adding 'statsmodels/sandbox/distributions/examples/ex_mvelliptical.py' adding 'statsmodels/sandbox/distributions/examples/ex_transf2.py' adding 'statsmodels/sandbox/distributions/examples/matchdist.py' adding 'statsmodels/sandbox/distributions/tests/__init__.py' adding 'statsmodels/sandbox/distributions/tests/_est_fit.py' adding 'statsmodels/sandbox/distributions/tests/check_moments.py' adding 'statsmodels/sandbox/distributions/tests/distparams.py' adding 'statsmodels/sandbox/distributions/tests/test_extras.py' adding 'statsmodels/sandbox/distributions/tests/test_gof_new.py' adding 'statsmodels/sandbox/distributions/tests/test_multivariate.py' adding 'statsmodels/sandbox/distributions/tests/test_norm_expan.py' adding 'statsmodels/sandbox/distributions/tests/test_transf.py' adding 'statsmodels/sandbox/mcevaluate/__init__.py' adding 'statsmodels/sandbox/mcevaluate/arma.py' adding 'statsmodels/sandbox/nonparametric/__init__.py' adding 'statsmodels/sandbox/nonparametric/densityorthopoly.py' adding 'statsmodels/sandbox/nonparametric/dgp_examples.py' adding 'statsmodels/sandbox/nonparametric/kde2.py' adding 'statsmodels/sandbox/nonparametric/kdecovclass.py' adding 'statsmodels/sandbox/nonparametric/kernel_extras.py' adding 'statsmodels/sandbox/nonparametric/kernels.py' adding 'statsmodels/sandbox/nonparametric/smoothers.py' adding 'statsmodels/sandbox/nonparametric/testdata.py' adding 'statsmodels/sandbox/nonparametric/tests/__init__.py' adding 'statsmodels/sandbox/nonparametric/tests/ex_gam_am_new.py' adding 'statsmodels/sandbox/nonparametric/tests/ex_gam_new.py' adding 'statsmodels/sandbox/nonparametric/tests/ex_smoothers.py' adding 'statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py' adding 'statsmodels/sandbox/nonparametric/tests/test_smoothers.py' adding 'statsmodels/sandbox/panel/__init__.py' adding 'statsmodels/sandbox/panel/correlation_structures.py' adding 'statsmodels/sandbox/panel/mixed.py' adding 'statsmodels/sandbox/panel/panel_short.py' adding 'statsmodels/sandbox/panel/panelmod.py' adding 'statsmodels/sandbox/panel/random_panel.py' adding 'statsmodels/sandbox/panel/sandwich_covariance_generic.py' adding 'statsmodels/sandbox/panel/tests/__init__.py' adding 'statsmodels/sandbox/panel/tests/test_random_panel.py' adding 'statsmodels/sandbox/regression/__init__.py' adding 'statsmodels/sandbox/regression/anova_nistcertified.py' adding 'statsmodels/sandbox/regression/ar_panel.py' adding 'statsmodels/sandbox/regression/example_kernridge.py' adding 'statsmodels/sandbox/regression/gmm.py' adding 'statsmodels/sandbox/regression/kernridgeregress_class.py' adding 'statsmodels/sandbox/regression/ols_anova_original.py' adding 'statsmodels/sandbox/regression/onewaygls.py' adding 'statsmodels/sandbox/regression/penalized.py' adding 'statsmodels/sandbox/regression/predstd.py' adding 'statsmodels/sandbox/regression/runmnl.py' adding 'statsmodels/sandbox/regression/sympy_diff.py' adding 'statsmodels/sandbox/regression/tools.py' adding 'statsmodels/sandbox/regression/treewalkerclass.py' adding 'statsmodels/sandbox/regression/try_catdata.py' adding 'statsmodels/sandbox/regression/try_ols_anova.py' adding 'statsmodels/sandbox/regression/try_treewalker.py' adding 'statsmodels/sandbox/regression/tests/__init__.py' adding 'statsmodels/sandbox/regression/tests/griliches76.dta' adding 'statsmodels/sandbox/regression/tests/racd10data_with_transformed.csv' adding 'statsmodels/sandbox/regression/tests/results_gmm_griliches.py' adding 'statsmodels/sandbox/regression/tests/results_gmm_griliches_iter.py' adding 'statsmodels/sandbox/regression/tests/results_gmm_poisson.py' adding 'statsmodels/sandbox/regression/tests/results_ivreg2_griliches.py' adding 'statsmodels/sandbox/regression/tests/test_gmm.py' adding 'statsmodels/sandbox/regression/tests/test_gmm_poisson.py' adding 'statsmodels/sandbox/stats/__init__.py' adding 'statsmodels/sandbox/stats/contrast_tools.py' adding 'statsmodels/sandbox/stats/diagnostic.py' adding 'statsmodels/sandbox/stats/ex_newtests.py' adding 'statsmodels/sandbox/stats/multicomp.py' adding 'statsmodels/sandbox/stats/runs.py' adding 'statsmodels/sandbox/stats/stats_dhuard.py' adding 'statsmodels/sandbox/stats/stats_mstats_short.py' adding 'statsmodels/sandbox/stats/tests/__init__.py' adding 'statsmodels/sandbox/stats/tests/test_multicomp.py' adding 'statsmodels/sandbox/stats/tests/test_runs.py' adding 'statsmodels/sandbox/tests/__init__.py' adding 'statsmodels/sandbox/tests/maketests_mlabwrap.py' adding 'statsmodels/sandbox/tests/savervs.py' adding 'statsmodels/sandbox/tests/test_gam.py' adding 'statsmodels/sandbox/tests/test_pca.py' adding 'statsmodels/sandbox/tests/test_predict_functional.py' adding 'statsmodels/sandbox/tools/__init__.py' adding 'statsmodels/sandbox/tools/cross_val.py' adding 'statsmodels/sandbox/tools/mctools.py' adding 'statsmodels/sandbox/tools/tools_pca.py' adding 'statsmodels/sandbox/tools/try_mctools.py' adding 'statsmodels/sandbox/tsa/__init__.py' adding 'statsmodels/sandbox/tsa/diffusion.py' adding 'statsmodels/sandbox/tsa/diffusion2.py' adding 'statsmodels/sandbox/tsa/example_arma.py' adding 'statsmodels/sandbox/tsa/fftarma.py' adding 'statsmodels/sandbox/tsa/movstat.py' adding 'statsmodels/sandbox/tsa/try_arma_more.py' adding 'statsmodels/sandbox/tsa/try_fi.py' adding 'statsmodels/sandbox/tsa/try_var_convolve.py' adding 'statsmodels/sandbox/tsa/varma.py' adding 'statsmodels/src/__init__.py' adding 'statsmodels/stats/__init__.py' adding 'statsmodels/stats/_adnorm.py' adding 'statsmodels/stats/_delta_method.py' adding 'statsmodels/stats/_diagnostic_other.py' adding 'statsmodels/stats/_inference_tools.py' adding 'statsmodels/stats/_knockoff.py' adding 'statsmodels/stats/_lilliefors.py' adding 'statsmodels/stats/_lilliefors_critical_values.py' adding 'statsmodels/stats/anova.py' adding 'statsmodels/stats/api.py' adding 'statsmodels/stats/base.py' adding 'statsmodels/stats/contingency_tables.py' adding 'statsmodels/stats/contrast.py' adding 'statsmodels/stats/correlation_tools.py' adding 'statsmodels/stats/descriptivestats.py' adding 'statsmodels/stats/diagnostic.py' adding 'statsmodels/stats/diagnostic_gen.py' adding 'statsmodels/stats/dist_dependence_measures.py' adding 'statsmodels/stats/effect_size.py' adding 'statsmodels/stats/gof.py' adding 'statsmodels/stats/inter_rater.py' adding 'statsmodels/stats/knockoff_regeffects.py' adding 'statsmodels/stats/mediation.py' adding 'statsmodels/stats/meta_analysis.py' adding 'statsmodels/stats/moment_helpers.py' adding 'statsmodels/stats/multicomp.py' adding 'statsmodels/stats/multitest.py' adding 'statsmodels/stats/multivariate.py' adding 'statsmodels/stats/multivariate_tools.py' adding 'statsmodels/stats/nonparametric.py' adding 'statsmodels/stats/oaxaca.py' adding 'statsmodels/stats/oneway.py' adding 'statsmodels/stats/outliers_influence.py' adding 'statsmodels/stats/power.py' adding 'statsmodels/stats/proportion.py' adding 'statsmodels/stats/rates.py' adding 'statsmodels/stats/regularized_covariance.py' adding 'statsmodels/stats/robust_compare.py' adding 'statsmodels/stats/sandwich_covariance.py' adding 'statsmodels/stats/stattools.py' adding 'statsmodels/stats/tabledist.py' adding 'statsmodels/stats/weightstats.py' adding 'statsmodels/stats/libqsturng/CH.r' adding 'statsmodels/stats/libqsturng/LICENSE.txt' adding 'statsmodels/stats/libqsturng/__init__.py' adding 'statsmodels/stats/libqsturng/make_tbls.py' adding 'statsmodels/stats/libqsturng/qsturng_.py' adding 'statsmodels/stats/libqsturng/tests/__init__.py' adding 'statsmodels/stats/libqsturng/tests/bootleg.dat' adding 'statsmodels/stats/libqsturng/tests/test_qsturng.py' adding 'statsmodels/stats/tests/__init__.py' adding 'statsmodels/stats/tests/test_anova.py' adding 'statsmodels/stats/tests/test_anova_rm.py' adding 'statsmodels/stats/tests/test_base.py' adding 'statsmodels/stats/tests/test_contingency_tables.py' adding 'statsmodels/stats/tests/test_contrast.py' adding 'statsmodels/stats/tests/test_correlation.py' adding 'statsmodels/stats/tests/test_corrpsd.py' adding 'statsmodels/stats/tests/test_data.txt' adding 'statsmodels/stats/tests/test_deltacov.py' adding 'statsmodels/stats/tests/test_descriptivestats.py' adding 'statsmodels/stats/tests/test_diagnostic.py' adding 'statsmodels/stats/tests/test_diagnostic_other.py' adding 'statsmodels/stats/tests/test_dist_dependant_measures.py' adding 'statsmodels/stats/tests/test_effectsize.py' adding 'statsmodels/stats/tests/test_gof.py' adding 'statsmodels/stats/tests/test_groups_sw.py' adding 'statsmodels/stats/tests/test_influence.py' adding 'statsmodels/stats/tests/test_inter_rater.py' adding 'statsmodels/stats/tests/test_knockoff.py' adding 'statsmodels/stats/tests/test_lilliefors.py' adding 'statsmodels/stats/tests/test_mediation.py' adding 'statsmodels/stats/tests/test_meta.py' adding 'statsmodels/stats/tests/test_moment_helpers.py' adding 'statsmodels/stats/tests/test_multi.py' adding 'statsmodels/stats/tests/test_multivariate.py' adding 'statsmodels/stats/tests/test_nonparametric.py' adding 'statsmodels/stats/tests/test_oaxaca.py' adding 'statsmodels/stats/tests/test_oneway.py' adding 'statsmodels/stats/tests/test_outliers_influence.py' adding 'statsmodels/stats/tests/test_pairwise.py' adding 'statsmodels/stats/tests/test_panel_robustcov.py' adding 'statsmodels/stats/tests/test_power.py' adding 'statsmodels/stats/tests/test_proportion.py' adding 'statsmodels/stats/tests/test_qsturng.py' adding 'statsmodels/stats/tests/test_rates_poisson.py' adding 'statsmodels/stats/tests/test_regularized_covariance.py' adding 'statsmodels/stats/tests/test_robust_compare.py' adding 'statsmodels/stats/tests/test_sandwich.py' adding 'statsmodels/stats/tests/test_statstools.py' adding 'statsmodels/stats/tests/test_tabledist.py' adding 'statsmodels/stats/tests/test_tost.py' adding 'statsmodels/stats/tests/test_weightstats.py' adding 'statsmodels/stats/tests/results/__init__.py' adding 'statsmodels/stats/tests/results/binary_constrict.csv' adding 'statsmodels/stats/tests/results/bootleg.csv' adding 'statsmodels/stats/tests/results/contingency_table_r_results.csv' adding 'statsmodels/stats/tests/results/data.dat' adding 'statsmodels/stats/tests/results/framing.csv' adding 'statsmodels/stats/tests/results/influence_lsdiag_R.json' adding 'statsmodels/stats/tests/results/influence_measures_R.csv' adding 'statsmodels/stats/tests/results/influence_measures_bool_R.csv' adding 'statsmodels/stats/tests/results/lilliefors_critical_value_simulation.py' adding 'statsmodels/stats/tests/results/results_influence_logit.csv' adding 'statsmodels/stats/tests/results/results_meta.py' adding 'statsmodels/stats/tests/results/results_multinomial_proportions.py' adding 'statsmodels/stats/tests/results/results_panelrobust.py' adding 'statsmodels/stats/tests/results/results_power.py' adding 'statsmodels/stats/tests/results/results_proportion.py' adding 'statsmodels/stats/tests/results/results_rates.py' adding 'statsmodels/stats/tests/results/wspec1.csv' adding 'statsmodels/stats/tests/results/wspec2.csv' adding 'statsmodels/stats/tests/results/wspec3.csv' adding 'statsmodels/stats/tests/results/wspec4.csv' adding 'statsmodels/tests/__init__.py' adding 'statsmodels/tests/test_package.py' adding 'statsmodels/tests/test_x13.py' adding 'statsmodels/tools/__init__.py' adding 'statsmodels/tools/_test_runner.py' adding 'statsmodels/tools/_testing.py' adding 'statsmodels/tools/catadd.py' adding 'statsmodels/tools/data.py' adding 'statsmodels/tools/decorators.py' adding 'statsmodels/tools/docstring.py' adding 'statsmodels/tools/eval_measures.py' adding 'statsmodels/tools/grouputils.py' adding 'statsmodels/tools/linalg.py' adding 'statsmodels/tools/numdiff.py' adding 'statsmodels/tools/parallel.py' adding 'statsmodels/tools/print_version.py' adding 'statsmodels/tools/rng_qrng.py' adding 'statsmodels/tools/rootfinding.py' adding 'statsmodels/tools/sequences.py' adding 'statsmodels/tools/sm_exceptions.py' adding 'statsmodels/tools/testing.py' adding 'statsmodels/tools/tools.py' adding 'statsmodels/tools/transform_model.py' adding 'statsmodels/tools/typing.py' adding 'statsmodels/tools/web.py' adding 'statsmodels/tools/tests/__init__.py' adding 'statsmodels/tools/tests/test_catadd.py' adding 'statsmodels/tools/tests/test_data.py' adding 'statsmodels/tools/tests/test_decorators.py' adding 'statsmodels/tools/tests/test_docstring.py' adding 'statsmodels/tools/tests/test_eval_measures.py' adding 'statsmodels/tools/tests/test_grouputils.py' adding 'statsmodels/tools/tests/test_linalg.py' adding 'statsmodels/tools/tests/test_numdiff.py' adding 'statsmodels/tools/tests/test_parallel.py' adding 'statsmodels/tools/tests/test_rootfinding.py' adding 'statsmodels/tools/tests/test_sequences.py' adding 'statsmodels/tools/tests/test_testing.py' adding 'statsmodels/tools/tests/test_tools.py' adding 'statsmodels/tools/tests/test_transform_model.py' adding 'statsmodels/tools/tests/test_web.py' adding 'statsmodels/tools/validation/__init__.py' adding 'statsmodels/tools/validation/decorators.py' adding 'statsmodels/tools/validation/validation.py' adding 'statsmodels/tools/validation/tests/__init__.py' adding 'statsmodels/tools/validation/tests/test_validation.py' adding 'statsmodels/treatment/__init__.py' adding 'statsmodels/treatment/treatment_effects.py' adding 'statsmodels/treatment/tests/__init__.py' adding 'statsmodels/treatment/tests/test_teffects.py' adding 'statsmodels/treatment/tests/results/__init__.py' adding 'statsmodels/treatment/tests/results/cataneo2.csv' adding 'statsmodels/treatment/tests/results/results_teffects.py' adding 'statsmodels/tsa/__init__.py' adding 'statsmodels/tsa/_bds.py' adding 'statsmodels/tsa/_innovations.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/adfvalues.py' adding 'statsmodels/tsa/api.py' adding 'statsmodels/tsa/ar_model.py' adding 'statsmodels/tsa/arima_model.py' adding 'statsmodels/tsa/arima_process.py' adding 'statsmodels/tsa/arma_mle.py' adding 'statsmodels/tsa/coint_tables.py' adding 'statsmodels/tsa/descriptivestats.py' adding 'statsmodels/tsa/deterministic.py' adding 'statsmodels/tsa/mlemodel.py' adding 'statsmodels/tsa/seasonal.py' adding 'statsmodels/tsa/stattools.py' adding 'statsmodels/tsa/tsatools.py' adding 'statsmodels/tsa/varma_process.py' adding 'statsmodels/tsa/x13.py' adding 'statsmodels/tsa/ardl/__init__.py' adding 'statsmodels/tsa/ardl/model.py' adding 'statsmodels/tsa/ardl/pss_critical_values.py' adding 'statsmodels/tsa/ardl/_pss_critical_values/__init__.py' adding 'statsmodels/tsa/ardl/_pss_critical_values/pss-process.py' adding 'statsmodels/tsa/ardl/_pss_critical_values/pss.py' adding 'statsmodels/tsa/ardl/tests/__init__.py' adding 'statsmodels/tsa/ardl/tests/test_ardl.py' adding 'statsmodels/tsa/arima/__init__.py' adding 'statsmodels/tsa/arima/api.py' adding 'statsmodels/tsa/arima/model.py' adding 'statsmodels/tsa/arima/params.py' adding 'statsmodels/tsa/arima/specification.py' adding 'statsmodels/tsa/arima/tools.py' adding 'statsmodels/tsa/arima/datasets/__init__.py' adding 'statsmodels/tsa/arima/datasets/brockwell_davis_2002/__init__.py' adding 'statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/__init__.py' adding 'statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/dowj.py' adding 'statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/lake.py' adding 'statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/oshorts.py' adding 'statsmodels/tsa/arima/datasets/brockwell_davis_2002/data/sbl.py' adding 'statsmodels/tsa/arima/estimators/__init__.py' adding 'statsmodels/tsa/arima/estimators/burg.py' adding 'statsmodels/tsa/arima/estimators/durbin_levinson.py' adding 'statsmodels/tsa/arima/estimators/gls.py' adding 'statsmodels/tsa/arima/estimators/hannan_rissanen.py' adding 'statsmodels/tsa/arima/estimators/innovations.py' adding 'statsmodels/tsa/arima/estimators/statespace.py' adding 'statsmodels/tsa/arima/estimators/yule_walker.py' adding 'statsmodels/tsa/arima/estimators/tests/__init__.py' adding 'statsmodels/tsa/arima/estimators/tests/test_burg.py' adding 'statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py' adding 'statsmodels/tsa/arima/estimators/tests/test_gls.py' adding 'statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py' adding 'statsmodels/tsa/arima/estimators/tests/test_innovations.py' adding 'statsmodels/tsa/arima/estimators/tests/test_statespace.py' adding 'statsmodels/tsa/arima/estimators/tests/test_yule_walker.py' adding 'statsmodels/tsa/arima/tests/__init__.py' adding 'statsmodels/tsa/arima/tests/test_model.py' adding 'statsmodels/tsa/arima/tests/test_params.py' adding 'statsmodels/tsa/arima/tests/test_specification.py' adding 'statsmodels/tsa/arima/tests/test_tools.py' adding 'statsmodels/tsa/base/__init__.py' adding 'statsmodels/tsa/base/datetools.py' adding 'statsmodels/tsa/base/prediction.py' adding 'statsmodels/tsa/base/tsa_model.py' adding 'statsmodels/tsa/base/tests/__init__.py' adding 'statsmodels/tsa/base/tests/test_base.py' adding 'statsmodels/tsa/base/tests/test_datetools.py' adding 'statsmodels/tsa/base/tests/test_prediction.py' adding 'statsmodels/tsa/base/tests/test_tsa_indexes.py' adding 'statsmodels/tsa/exponential_smoothing/__init__.py' adding 'statsmodels/tsa/exponential_smoothing/_ets_smooth.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/exponential_smoothing/base.py' adding 'statsmodels/tsa/exponential_smoothing/ets.py' adding 'statsmodels/tsa/exponential_smoothing/initialization.py' adding 'statsmodels/tsa/filters/__init__.py' adding 'statsmodels/tsa/filters/_utils.py' adding 'statsmodels/tsa/filters/api.py' adding 'statsmodels/tsa/filters/bk_filter.py' adding 'statsmodels/tsa/filters/cf_filter.py' adding 'statsmodels/tsa/filters/filtertools.py' adding 'statsmodels/tsa/filters/hp_filter.py' adding 'statsmodels/tsa/filters/tests/__init__.py' adding 'statsmodels/tsa/filters/tests/test_filters.py' adding 'statsmodels/tsa/filters/tests/results/__init__.py' adding 'statsmodels/tsa/filters/tests/results/filter_results.py' adding 'statsmodels/tsa/forecasting/__init__.py' adding 'statsmodels/tsa/forecasting/stl.py' adding 'statsmodels/tsa/forecasting/theta.py' adding 'statsmodels/tsa/forecasting/tests/__init__.py' adding 'statsmodels/tsa/forecasting/tests/test_stl.py' adding 'statsmodels/tsa/forecasting/tests/test_theta.py' adding 'statsmodels/tsa/holtwinters/__init__.py' adding 'statsmodels/tsa/holtwinters/_exponential_smoothers.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/holtwinters/_smoothers.py' adding 'statsmodels/tsa/holtwinters/model.py' adding 'statsmodels/tsa/holtwinters/results.py' adding 'statsmodels/tsa/holtwinters/tests/__init__.py' adding 'statsmodels/tsa/holtwinters/tests/test_holtwinters.py' adding 'statsmodels/tsa/holtwinters/tests/results/__init__.py' adding 'statsmodels/tsa/holtwinters/tests/results/housing-data.csv' adding 'statsmodels/tsa/innovations/__init__.py' adding 'statsmodels/tsa/innovations/_arma_innovations.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/innovations/api.py' adding 'statsmodels/tsa/innovations/arma_innovations.py' adding 'statsmodels/tsa/innovations/tests/__init__.py' adding 'statsmodels/tsa/innovations/tests/test_arma_innovations.py' adding 'statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py' adding 'statsmodels/tsa/interp/__init__.py' adding 'statsmodels/tsa/interp/denton.py' adding 'statsmodels/tsa/interp/tests/__init__.py' adding 'statsmodels/tsa/interp/tests/test_denton.py' adding 'statsmodels/tsa/regime_switching/__init__.py' adding 'statsmodels/tsa/regime_switching/_hamilton_filter.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/regime_switching/_kim_smoother.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/regime_switching/markov_autoregression.py' adding 'statsmodels/tsa/regime_switching/markov_regression.py' adding 'statsmodels/tsa/regime_switching/markov_switching.py' adding 'statsmodels/tsa/regime_switching/tests/__init__.py' adding 'statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py' adding 'statsmodels/tsa/regime_switching/tests/test_markov_regression.py' adding 'statsmodels/tsa/regime_switching/tests/test_markov_switching.py' adding 'statsmodels/tsa/regime_switching/tests/results/__init__.py' adding 'statsmodels/tsa/regime_switching/tests/results/mar_filardo.csv' adding 'statsmodels/tsa/regime_switching/tests/results/results_predict_fedfunds.csv' adding 'statsmodels/tsa/regime_switching/tests/results/results_predict_rgnp.csv' adding 'statsmodels/tsa/statespace/__init__.py' adding 'statsmodels/tsa/statespace/_cfa_simulation_smoother.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/statespace/_initialization.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/statespace/_kalman_filter.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/statespace/_kalman_smoother.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/statespace/_pykalman_smoother.py' adding 'statsmodels/tsa/statespace/_quarterly_ar1.py' adding 'statsmodels/tsa/statespace/_representation.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/statespace/_simulation_smoother.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/statespace/_tools.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/statespace/api.py' adding 'statsmodels/tsa/statespace/cfa_simulation_smoother.py' adding 'statsmodels/tsa/statespace/dynamic_factor.py' adding 'statsmodels/tsa/statespace/dynamic_factor_mq.py' adding 'statsmodels/tsa/statespace/exponential_smoothing.py' adding 'statsmodels/tsa/statespace/initialization.py' adding 'statsmodels/tsa/statespace/kalman_filter.py' adding 'statsmodels/tsa/statespace/kalman_smoother.py' adding 'statsmodels/tsa/statespace/mlemodel.py' adding 'statsmodels/tsa/statespace/news.py' adding 'statsmodels/tsa/statespace/representation.py' adding 'statsmodels/tsa/statespace/sarimax.py' adding 'statsmodels/tsa/statespace/simulation_smoother.py' adding 'statsmodels/tsa/statespace/structural.py' adding 'statsmodels/tsa/statespace/tools.py' adding 'statsmodels/tsa/statespace/varmax.py' adding 'statsmodels/tsa/statespace/_filters/__init__.py' adding 'statsmodels/tsa/statespace/_filters/_conventional.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/statespace/_filters/_inversions.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/statespace/_filters/_univariate.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/statespace/_filters/_univariate_diffuse.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/statespace/_smoothers/__init__.py' adding 'statsmodels/tsa/statespace/_smoothers/_alternative.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/statespace/_smoothers/_classical.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/statespace/_smoothers/_conventional.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/statespace/_smoothers/_univariate.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/statespace/tests/__init__.py' adding 'statsmodels/tsa/statespace/tests/kfas_helpers.py' adding 'statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py' adding 'statsmodels/tsa/statespace/tests/test_cfa_tvpvar.py' adding 'statsmodels/tsa/statespace/tests/test_chandrasekhar.py' adding 'statsmodels/tsa/statespace/tests/test_collapsed.py' adding 'statsmodels/tsa/statespace/tests/test_concentrated.py' adding 'statsmodels/tsa/statespace/tests/test_conserve_memory.py' adding 'statsmodels/tsa/statespace/tests/test_decompose.py' adding 'statsmodels/tsa/statespace/tests/test_dynamic_factor.py' adding 'statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py' adding 'statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py' adding 'statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py' adding 'statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py' adding 'statsmodels/tsa/statespace/tests/test_exponential_smoothing.py' adding 'statsmodels/tsa/statespace/tests/test_fixed_params.py' adding 'statsmodels/tsa/statespace/tests/test_forecasting.py' adding 'statsmodels/tsa/statespace/tests/test_impulse_responses.py' adding 'statsmodels/tsa/statespace/tests/test_initialization.py' adding 'statsmodels/tsa/statespace/tests/test_kalman.py' adding 'statsmodels/tsa/statespace/tests/test_mlemodel.py' adding 'statsmodels/tsa/statespace/tests/test_models.py' adding 'statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py' adding 'statsmodels/tsa/statespace/tests/test_news.py' adding 'statsmodels/tsa/statespace/tests/test_options.py' adding 'statsmodels/tsa/statespace/tests/test_pickle.py' adding 'statsmodels/tsa/statespace/tests/test_prediction.py' adding 'statsmodels/tsa/statespace/tests/test_representation.py' adding 'statsmodels/tsa/statespace/tests/test_sarimax.py' adding 'statsmodels/tsa/statespace/tests/test_save.py' adding 'statsmodels/tsa/statespace/tests/test_simulate.py' adding 'statsmodels/tsa/statespace/tests/test_simulation_smoothing.py' adding 'statsmodels/tsa/statespace/tests/test_smoothing.py' adding 'statsmodels/tsa/statespace/tests/test_structural.py' adding 'statsmodels/tsa/statespace/tests/test_tools.py' adding 'statsmodels/tsa/statespace/tests/test_univariate.py' adding 'statsmodels/tsa/statespace/tests/test_var.py' adding 'statsmodels/tsa/statespace/tests/test_varmax.py' adding 'statsmodels/tsa/statespace/tests/test_weights.py' adding 'statsmodels/tsa/statespace/tests/results/__init__.py' adding 'statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Omega_11.csv' adding 'statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Omega_22.csv' adding 'statsmodels/tsa/statespace/tests/results/cfa_tvpvar_S10.csv' adding 'statsmodels/tsa/statespace/tests/results/cfa_tvpvar_Si0.csv' adding 'statsmodels/tsa/statespace/tests/results/cfa_tvpvar_beta.csv' adding 'statsmodels/tsa/statespace/tests/results/cfa_tvpvar_invP.csv' adding 'statsmodels/tsa/statespace/tests/results/cfa_tvpvar_posterior_mean.csv' adding 'statsmodels/tsa/statespace/tests/results/cfa_tvpvar_state_variates.csv' adding 'statsmodels/tsa/statespace/tests/results/cfa_tvpvar_v10.csv' adding 'statsmodels/tsa/statespace/tests/results/cfa_tvpvar_vi0.csv' adding 'statsmodels/tsa/statespace/tests/results/clark1989.csv' adding 'statsmodels/tsa/statespace/tests/results/exponential_smoothing_params.csv' adding 'statsmodels/tsa/statespace/tests/results/exponential_smoothing_predict.csv' adding 'statsmodels/tsa/statespace/tests/results/exponential_smoothing_states.csv' adding 'statsmodels/tsa/statespace/tests/results/manufac.dta' adding 'statsmodels/tsa/statespace/tests/results/results_clark1989_R.csv' adding 'statsmodels/tsa/statespace/tests/results/results_dynamic_factor.py' adding 'statsmodels/tsa/statespace/tests/results/results_dynamic_factor_stata.csv' adding 'statsmodels/tsa/statespace/tests/results/results_exact_initial_common_level_R.csv' adding 'statsmodels/tsa/statespace/tests/results/results_exact_initial_common_level_restricted_R.csv' adding 'statsmodels/tsa/statespace/tests/results/results_exact_initial_dfm_R.csv' adding 'statsmodels/tsa/statespace/tests/results/results_exact_initial_local_level_R.csv' adding 'statsmodels/tsa/statespace/tests/results/results_exact_initial_local_linear_trend_R.csv' adding 'statsmodels/tsa/statespace/tests/results/results_exact_initial_local_linear_trend_missing_R.csv' adding 'statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_R.csv' adding 'statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_measurement_error_R.csv' adding 'statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_missing_R.csv' adding 'statsmodels/tsa/statespace/tests/results/results_exact_initial_var1_mixed_R.csv' adding 'statsmodels/tsa/statespace/tests/results/results_intercepts_R.csv' adding 'statsmodels/tsa/statespace/tests/results/results_kalman_filter.py' adding 'statsmodels/tsa/statespace/tests/results/results_realgdpar_stata.csv' adding 'statsmodels/tsa/statespace/tests/results/results_sarimax.py' adding 'statsmodels/tsa/statespace/tests/results/results_sarimax_coverage.csv' adding 'statsmodels/tsa/statespace/tests/results/results_simulation_smoothing0.csv' adding 'statsmodels/tsa/statespace/tests/results/results_simulation_smoothing1.csv' adding 'statsmodels/tsa/statespace/tests/results/results_simulation_smoothing2.csv' adding 'statsmodels/tsa/statespace/tests/results/results_simulation_smoothing3.csv' adding 'statsmodels/tsa/statespace/tests/results/results_simulation_smoothing3_variates.csv' adding 'statsmodels/tsa/statespace/tests/results/results_simulation_smoothing4.csv' adding 'statsmodels/tsa/statespace/tests/results/results_simulation_smoothing5.csv' adding 'statsmodels/tsa/statespace/tests/results/results_simulation_smoothing6.csv' adding 'statsmodels/tsa/statespace/tests/results/results_smoothing2_R.csv' adding 'statsmodels/tsa/statespace/tests/results/results_smoothing3_R.csv' adding 'statsmodels/tsa/statespace/tests/results/results_smoothing_R.csv' adding 'statsmodels/tsa/statespace/tests/results/results_smoothing_generalobscov_R.csv' adding 'statsmodels/tsa/statespace/tests/results/results_structural.py' adding 'statsmodels/tsa/statespace/tests/results/results_var_R.py' adding 'statsmodels/tsa/statespace/tests/results/results_var_R_output.csv' adding 'statsmodels/tsa/statespace/tests/results/results_var_misc.py' adding 'statsmodels/tsa/statespace/tests/results/results_var_stata.csv' adding 'statsmodels/tsa/statespace/tests/results/results_varmax.py' adding 'statsmodels/tsa/statespace/tests/results/results_varmax_stata.csv' adding 'statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_matlab_ssm.csv' adding 'statsmodels/tsa/statespace/tests/results/results_wpi1_ar3_stata.csv' adding 'statsmodels/tsa/statespace/tests/results/results_wpi1_missing_ar3_matlab_ssm.csv' adding 'statsmodels/tsa/statespace/tests/results/sm-0.9-sarimax.pkl' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/__init__.py' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_111.mat' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_112.mat' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_11F.mat' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_221.mat' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_222.mat' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_22F.mat' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_111.mat' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_112.mat' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_221.mat' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_dfm_blocks_222.mat' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_112.mat' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_222.mat' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_blocks_112.mat' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/test_news_blocks_222.mat' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/__init__.py' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/__init__.py' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/2016-06-29.csv' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/2016-07-29.csv' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/data/US/__init__.py' adding 'statsmodels/tsa/statespace/tests/results/frbny_nowcast/Nowcasting/functions/__init__.py' adding 'statsmodels/tsa/stl/__init__.py' adding 'statsmodels/tsa/stl/_stl.cpython-313-x86_64-linux-gnu.so' adding 'statsmodels/tsa/stl/mstl.py' adding 'statsmodels/tsa/stl/tests/__init__.py' adding 'statsmodels/tsa/stl/tests/test_mstl.py' adding 'statsmodels/tsa/stl/tests/test_stl.py' adding 'statsmodels/tsa/stl/tests/results/__init__.py' adding 'statsmodels/tsa/stl/tests/results/mstl_elec_vic.csv' adding 'statsmodels/tsa/stl/tests/results/mstl_test_results.csv' adding 'statsmodels/tsa/stl/tests/results/stl_co2.csv' adding 'statsmodels/tsa/stl/tests/results/stl_test_results.csv' adding 'statsmodels/tsa/tests/__init__.py' adding 'statsmodels/tsa/tests/test_adfuller_lag.py' adding 'statsmodels/tsa/tests/test_ar.py' adding 'statsmodels/tsa/tests/test_arima_process.py' adding 'statsmodels/tsa/tests/test_bds.py' adding 'statsmodels/tsa/tests/test_deterministic.py' adding 'statsmodels/tsa/tests/test_exponential_smoothing.py' adding 'statsmodels/tsa/tests/test_seasonal.py' adding 'statsmodels/tsa/tests/test_stattools.py' adding 'statsmodels/tsa/tests/test_tsa_tools.py' adding 'statsmodels/tsa/tests/test_x13.py' adding 'statsmodels/tsa/tests/results/ARMLEConstantPredict.csv' adding 'statsmodels/tsa/tests/results/AROLSConstantPredict.csv' adding 'statsmodels/tsa/tests/results/AROLSNoConstantPredict.csv' adding 'statsmodels/tsa/tests/results/__init__.py' adding 'statsmodels/tsa/tests/results/arima111_css_results.py' adding 'statsmodels/tsa/tests/results/arima111_forecasts.csv' adding 'statsmodels/tsa/tests/results/arima111_results.py' adding 'statsmodels/tsa/tests/results/arima111nc_css_results.py' adding 'statsmodels/tsa/tests/results/arima111nc_results.py' adding 'statsmodels/tsa/tests/results/arima112_css_results.py' adding 'statsmodels/tsa/tests/results/arima112_results.py' adding 'statsmodels/tsa/tests/results/arima112nc_css_results.py' adding 'statsmodels/tsa/tests/results/arima112nc_results.py' adding 'statsmodels/tsa/tests/results/arima211_css_results.py' adding 'statsmodels/tsa/tests/results/arima211_results.py' adding 'statsmodels/tsa/tests/results/arima211nc_css_results.py' adding 'statsmodels/tsa/tests/results/arima211nc_results.py' adding 'statsmodels/tsa/tests/results/arima212_forecast.csv' adding 'statsmodels/tsa/tests/results/bds_data.csv' adding 'statsmodels/tsa/tests/results/bds_results.csv' adding 'statsmodels/tsa/tests/results/datamlw_tls.py' adding 'statsmodels/tsa/tests/results/fit_ets_results.json' adding 'statsmodels/tsa/tests/results/fit_ets_results_nonseasonal.json' adding 'statsmodels/tsa/tests/results/fit_ets_results_seasonal.json' adding 'statsmodels/tsa/tests/results/gnpdef.csv' adding 'statsmodels/tsa/tests/results/lutkepohl2.dta' adding 'statsmodels/tsa/tests/results/make_arma.py' adding 'statsmodels/tsa/tests/results/rand10000.csv' adding 'statsmodels/tsa/tests/results/resids_css_c.csv' adding 'statsmodels/tsa/tests/results/resids_css_nc.csv' adding 'statsmodels/tsa/tests/results/resids_exact_c.csv' adding 'statsmodels/tsa/tests/results/resids_exact_nc.csv' adding 'statsmodels/tsa/tests/results/results_ar.py' adding 'statsmodels/tsa/tests/results/results_ar_forecast_mle_dynamic.csv' adding 'statsmodels/tsa/tests/results/results_arima.py' adding 'statsmodels/tsa/tests/results/results_arima_exog_forecasts_css.csv' adding 'statsmodels/tsa/tests/results/results_arima_exog_forecasts_mle.csv' adding 'statsmodels/tsa/tests/results/results_arima_forecasts.csv' adding 'statsmodels/tsa/tests/results/results_arima_forecasts_all_css.csv' adding 'statsmodels/tsa/tests/results/results_arima_forecasts_all_css_diff.csv' adding 'statsmodels/tsa/tests/results/results_arima_forecasts_all_mle.csv' adding 'statsmodels/tsa/tests/results/results_arima_forecasts_all_mle_diff.csv' adding 'statsmodels/tsa/tests/results/results_arma.py' adding 'statsmodels/tsa/tests/results/results_arma_acf.py' adding 'statsmodels/tsa/tests/results/results_arma_forecasts.csv' adding 'statsmodels/tsa/tests/results/results_ccf.csv' adding 'statsmodels/tsa/tests/results/results_corrgram.csv' adding 'statsmodels/tsa/tests/results/results_process.py' adding 'statsmodels/tsa/tests/results/rgnp.csv' adding 'statsmodels/tsa/tests/results/rgnpq.csv' adding 'statsmodels/tsa/tests/results/savedrvs.py' adding 'statsmodels/tsa/tests/results/stkprc.csv' adding 'statsmodels/tsa/tests/results/y_arma_data.csv' adding 'statsmodels/tsa/tests/results/yhat_css_c.csv' adding 'statsmodels/tsa/tests/results/yhat_css_nc.csv' adding 'statsmodels/tsa/tests/results/yhat_exact_c.csv' adding 'statsmodels/tsa/tests/results/yhat_exact_nc.csv' adding 'statsmodels/tsa/vector_ar/__init__.py' adding 'statsmodels/tsa/vector_ar/api.py' adding 'statsmodels/tsa/vector_ar/hypothesis_test_results.py' adding 'statsmodels/tsa/vector_ar/irf.py' adding 'statsmodels/tsa/vector_ar/output.py' adding 'statsmodels/tsa/vector_ar/plotting.py' adding 'statsmodels/tsa/vector_ar/svar_model.py' adding 'statsmodels/tsa/vector_ar/util.py' adding 'statsmodels/tsa/vector_ar/var_model.py' adding 'statsmodels/tsa/vector_ar/vecm.py' adding 'statsmodels/tsa/vector_ar/tests/__init__.py' adding 'statsmodels/tsa/vector_ar/tests/example_svar.py' adding 'statsmodels/tsa/vector_ar/tests/test_coint.py' adding 'statsmodels/tsa/vector_ar/tests/test_svar.py' adding 'statsmodels/tsa/vector_ar/tests/test_var.py' adding 'statsmodels/tsa/vector_ar/tests/test_var_jmulti.py' adding 'statsmodels/tsa/vector_ar/tests/test_vecm.py' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/__init__.py' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_Sigmau.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_diag.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_fc5.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons_realgdp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realcons_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realgdp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realgdp_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_granger_causality_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_ir.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_c_lagorder.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_Sigmau.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_diag.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_fc5.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons_realgdp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realcons_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realgdp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realgdp_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_granger_causality_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_ir.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cs_lagorder.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_Sigmau.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_diag.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_fc5.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons_realgdp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realcons_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realgdp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realgdp_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_granger_causality_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_ir.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_cst_lagorder.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_Sigmau.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_diag.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_fc5.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons_realgdp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realcons_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realgdp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realgdp_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_granger_causality_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_ir.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ct_lagorder.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_Sigmau.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_diag.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_fc5.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons_realgdp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realcons_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realgdp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realgdp_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_granger_causality_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_ir.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_nc_lagorder.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_Sigmau.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_diag.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_fc5.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons_realgdp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realcons_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realgdp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realgdp_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_granger_causality_realinv.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_ir.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/macrodata_jmulti_ncs_lagorder.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/parse_jmulti_var_output.py' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/parse_jmulti_vecm_output.py' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_Sigmau.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_diag.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_fc5.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_granger_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_granger_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_inst_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_inst_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_ir.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ci_lagorder.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_Sigmau.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_diag.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_fc5.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_granger_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_granger_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_inst_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_inst_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_ir.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cili_lagorder.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_Sigmau.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_diag.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_fc5.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_granger_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_granger_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_inst_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_inst_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_ir.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cis_lagorder.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_Sigmau.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_diag.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_fc5.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_granger_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_granger_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_inst_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_inst_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_ir.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cisli_lagorder.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_Sigmau.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_diag.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_fc5.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_granger_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_granger_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_inst_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_inst_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_ir.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_co_lagorder.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_Sigmau.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_diag.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_fc5.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_granger_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_granger_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_inst_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_inst_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_ir.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_colo_lagorder.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_Sigmau.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_diag.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_fc5.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_granger_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_granger_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_inst_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_inst_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_ir.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_cos_lagorder.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_Sigmau.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_diag.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_fc5.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_granger_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_granger_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_inst_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_inst_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_ir.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_coslo_lagorder.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_Sigmau.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_diag.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_fc5.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_granger_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_granger_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_inst_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_inst_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_ir.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_nc_lagorder.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_Sigmau.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_diag.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_fc5.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_granger_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_granger_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_inst_causality_dp_r.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_inst_causality_r_dp.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_ir.txt' adding 'statsmodels/tsa/vector_ar/tests/JMulTi_results/vecm_e6_jmulti_ncs_lagorder.txt' adding 'statsmodels/tsa/vector_ar/tests/Matlab_results/__init__.py' adding 'statsmodels/tsa/vector_ar/tests/Matlab_results/test_coint.csv' adding 'statsmodels/tsa/vector_ar/tests/results/__init__.py' adding 'statsmodels/tsa/vector_ar/tests/results/e1.dat' adding 'statsmodels/tsa/vector_ar/tests/results/e2.dat' adding 'statsmodels/tsa/vector_ar/tests/results/e3.dat' adding 'statsmodels/tsa/vector_ar/tests/results/e4.dat' adding 'statsmodels/tsa/vector_ar/tests/results/e5.dat' adding 'statsmodels/tsa/vector_ar/tests/results/e6.dat' adding 'statsmodels/tsa/vector_ar/tests/results/results_svar.py' adding 'statsmodels/tsa/vector_ar/tests/results/results_svar_st.py' adding 'statsmodels/tsa/vector_ar/tests/results/results_var.py' adding 'statsmodels/tsa/vector_ar/tests/results/results_var_data.py' adding 'statsmodels/tsa/vector_ar/tests/results/vars_results.npz' adding 'statsmodels-0.14.5+dfsg.dist-info/licenses/LICENSE.txt' adding 'statsmodels-0.14.5+dfsg.dist-info/METADATA' adding 'statsmodels-0.14.5+dfsg.dist-info/WHEEL' adding 'statsmodels-0.14.5+dfsg.dist-info/top_level.txt' adding 'statsmodels-0.14.5+dfsg.dist-info/RECORD' removing build/bdist.linux-x86_64/wheel Successfully built statsmodels-0.14.5+dfsg-cp313-cp313-linux_x86_64.whl I: pybuild plugin_pyproject:144: Unpacking wheel built for python3.13 with "installer" module debian/rules execute_after_dh_auto_build-indep make[1]: Entering directory '/build/reproducible-path/statsmodels-0.14.5+dfsg' : # I: Generate documentation : # Build Documentation -- assure existence of build/html for nodoc : # Reproducibility: stopping the clock (or slowing it down enough to get all 00:00:00) with faketime (near-)hangs : # 0.9.0 including notebooks step: in glm_weights.ipynb : # 0.14.5 sphinx-build only: in reading sources, last line output is statsmodels.functional.graphics.hdrboxplot mkdir -p build/html python3 debian/datasets/prepopulate_cache.py ./datasets/crimtab.html ./datasets/austres.html ./datasets/treering.html ./datasets/chickwts.html ./datasets/Formaldehyde.html ./datasets/Harman23.cor.html ./datasets/warpbreaks.html ./datasets/sunspots.html ./datasets/precip.html ./datasets/LakeHuron.html ./datasets/quakes.html ./datasets/trees.html ./datasets/longley.html ./datasets/LifeCycleSavings.html ./datasets/penguins.html ./datasets/BJsales.html ./datasets/stackloss.html ./datasets/cars.html ./datasets/gait.html ./datasets/attitude.html ./datasets/InsectSprays.html ./datasets/VADeaths.html ./datasets/WorldPhones.html ./datasets/Puromycin.html ./datasets/mtcars.html ./datasets/Nile.html ./datasets/JohnsonJohnson.html ./datasets/discoveries.html ./datasets/islands.html ./datasets/ChickWeight.html ./datasets/occupationalStatus.html ./datasets/rock.html ./datasets/sunspot.year.html ./datasets/morley.html ./datasets/ability.cov.html ./datasets/PlantGrowth.html ./datasets/UKDriverDeaths.html ./datasets/euro.html ./datasets/Titanic.html ./datasets/pressure.html ./datasets/WWWusage.html ./datasets/CO2.html ./datasets/nottem.html ./datasets/faithful.html ./datasets/randu.html ./datasets/anscombe.html ./datasets/AirPassengers.html ./datasets/USJudgeRatings.html ./datasets/freeny.html ./datasets/lh.html ./datasets/Theoph.html ./datasets/USPersonalExpenditure.html ./datasets/lynx.html ./datasets/iris3.html ./datasets/OrchardSprays.html ./datasets/co2.html ./datasets/Indometh.html ./datasets/DNase.html ./datasets/HairEyeColor.html ./datasets/swiss.html ./datasets/sunspot.month.html ./datasets/Orange.html ./datasets/volcano.html ./datasets/uspop.html ./datasets/UScitiesD.html ./datasets/EuStockMarkets.html ./datasets/USAccDeaths.html ./datasets/airquality.html ./datasets/eurodist.html ./datasets/UCBAdmissions.html ./datasets/BOD.html ./datasets/Harman74.cor.html ./datasets/sleep.html ./datasets/airmiles.html ./datasets/nhtemp.html ./datasets/attenu.html ./datasets/UKgas.html ./datasets/Loblolly.html ./datasets/USArrests.html ./datasets/iris.html ./datasets/infert.html ./datasets/Seatbelts.html ./datasets/esoph.html ./datasets/presidents.html ./datasets/npk.html ./datasets/ToothGrowth.html ./datasets/women.html ./datasets/rivers.html ./boot/remission.html ./boot/neuro.html ./boot/tau.html ./boot/aids.html ./boot/nitrofen.html ./boot/calcium.html ./boot/claridge.html ./boot/salinity.html ./boot/aml.html ./boot/motor.html ./boot/ducks.html ./boot/wool.html ./boot/aircondit.html ./boot/beaver.html ./boot/frets.html ./boot/polar.html ./boot/downs.bc.html ./boot/cav.html ./boot/poisons.html ./boot/urine.html ./boot/melanoma.html ./boot/tuna.html ./boot/catsM.html ./boot/breslow.html ./boot/nuclear.html ./boot/amis.html ./boot/grav.html ./boot/survival.html ./boot/gravity.html ./boot/co.transfer.html ./boot/fir.html ./boot/city.html ./boot/dogs.html ./boot/cd4.html ./boot/acme.html ./boot/capability.html ./boot/hirose.html ./boot/cane.html ./boot/islay.html ./boot/paulsen.html ./boot/cloth.html ./boot/coal.html ./boot/darwin.html ./boot/nodal.html ./boot/channing.html ./boot/manaus.html ./boot/aircondit7.html ./boot/brambles.html ./boot/bigcity.html ./HistData/gfrance85.html ./HistData/Angeville.html ./HistData/propensity.html ./HistData/Guerry.html ./HistData/gfrance.html ./carData/Duncan.html ./carData/Prestige.html ./carData/Arrests.html ./carData/Rossi.html ./carData/UN.html ./carData/Florida.html ./carData/Freedman.html ./carData/Mandel.html ./carData/Adler.html ./carData/GSSvocab.html ./carData/Chirot.html ./carData/Ericksen.html ./carData/WVS.html ./carData/Chile.html ./carData/Soils.html ./carData/Womenlf.html ./carData/Davis.html ./carData/Guyer.html ./carData/Migration.html ./carData/Anscombe.html ./carData/TitanicSurvival.html ./carData/Moore.html ./carData/Wool.html ./carData/Quartet.html ./carData/KosteckiDillon.html ./carData/MplsDemo.html ./carData/AMSsurvey.html ./carData/CES11.html ./carData/Ornstein.html ./carData/Robey.html ./carData/Burt.html ./carData/CanPop.html ./carData/Hartnagel.html ./carData/OBrienKaiser.html ./carData/Cowles.html ./carData/Wong.html ./carData/OBrienKaiserLong.html ./carData/Blackmore.html ./carData/Vocab.html ./carData/Leinhardt.html ./carData/LoBD.html ./carData/Friendly.html ./carData/USPop.html ./carData/Depredations.html ./carData/BEPS.html ./carData/Ginzberg.html ./carData/Mroz.html ./carData/Salaries.html ./carData/Angell.html ./carData/DavisThin.html ./carData/MplsStops.html ./carData/States.html ./carData/Highway1.html ./carData/Greene.html ./carData/Sahlins.html ./carData/Pottery.html ./carData/Baumann.html ./carData/UN98.html ./carData/WeightLoss.html ./carData/SLID.html ./carData/Bfox.html ./carData/Wells.html ./carData/Transact.html ./lme4/Dyestuff.html ./lme4/VerbAgg.html ./lme4/cake.html ./lme4/Pastes.html ./lme4/Dyestuff2.html ./lme4/cbpp.html ./lme4/Arabidopsis.html ./lme4/InstEval.html ./lme4/grouseticks.html ./lme4/sleepstudy.html ./lme4/Penicillin.html ./geepack/muscatine.html ./geepack/spruce.html ./geepack/sitka89.html ./geepack/koch.html ./geepack/respdis.html ./geepack/seizure.html ./geepack/dietox.html ./geepack/ohio.html ./geepack/respiratory.html ./robustbase/CrohnD.html ./robustbase/lactic.html ./robustbase/biomassTill.html ./robustbase/heart.html ./robustbase/coleman.html ./robustbase/hbk.html ./robustbase/wood.html ./robustbase/salinity.html ./robustbase/ambientNOxCH.html ./robustbase/pension.html ./robustbase/x30o50.html ./robustbase/NOxEmissions.html ./robustbase/los.html ./robustbase/kootenay.html ./robustbase/education.html ./robustbase/delivery.html ./robustbase/alcohol.html ./robustbase/pilot.html ./robustbase/vaso.html ./robustbase/wagnerGrowth.html ./robustbase/steamUse.html ./robustbase/epilepsy.html ./robustbase/starsCYG.html ./robustbase/toxicity.html ./robustbase/condroz.html ./robustbase/cushny.html ./robustbase/foodstamp.html ./robustbase/SiegelsEx.html ./robustbase/carrots.html ./robustbase/milk.html ./robustbase/cloud.html ./robustbase/pulpfiber.html ./robustbase/bushfire.html ./robustbase/phosphor.html ./robustbase/exAM.html ./robustbase/aircraft.html ./robustbase/airmay.html ./robustbase/Animals2.html ./robustbase/radarImage.html ./robustbase/telef.html ./robustbase/possumDiv.html ./MASS/rotifer.html ./MASS/birthwt.html ./MASS/farms.html ./MASS/newcomb.html ./MASS/topo.html ./MASS/shuttle.html ./MASS/cement.html ./MASS/housing.html ./MASS/Cars93.html ./MASS/painters.html ./MASS/DDT.html ./MASS/cpus.html ./MASS/Animals.html ./MASS/anorexia.html ./MASS/shrimp.html ./MASS/accdeaths.html ./MASS/snails.html ./MASS/whiteside.html ./MASS/leuk.html ./MASS/synth.te.html ./MASS/Aids2.html ./MASS/hills.html ./MASS/steam.html ./MASS/Pima.te.html ./MASS/geyser.html ./MASS/biopsy.html ./MASS/bacteria.html ./MASS/petrol.html ./MASS/quine.html ./MASS/Boston.html ./MASS/cabbages.html ./MASS/muscle.html ./MASS/Rabbit.html ./MASS/eagles.html ./MASS/beav2.html ./MASS/Rubber.html ./MASS/Melanoma.html ./MASS/mcycle.html ./MASS/galaxies.html ./MASS/Sitka89.html ./MASS/epil.html ./MASS/Cushings.html ./MASS/michelson.html ./MASS/cats.html ./MASS/gehan.html ./MASS/drivers.html ./MASS/menarche.html ./MASS/beav1.html ./MASS/coop.html ./MASS/motors.html ./MASS/chem.html ./MASS/gilgais.html ./MASS/UScrime.html ./MASS/oats.html ./MASS/abbey.html ./MASS/phones.html ./MASS/Traffic.html ./MASS/wtloss.html ./MASS/npr1.html ./MASS/fgl.html ./MASS/forbes.html ./MASS/crabs.html ./MASS/mammals.html ./MASS/immer.html ./MASS/Insurance.html ./MASS/ships.html ./MASS/stormer.html ./MASS/nlschools.html ./MASS/Pima.tr.html ./MASS/shoes.html ./MASS/VA.html ./MASS/Pima.tr2.html ./MASS/SP500.html ./MASS/waders.html ./MASS/road.html ./MASS/UScereal.html ./MASS/GAGurine.html ./MASS/survey.html ./MASS/Skye.html ./MASS/deaths.html ./MASS/Sitka.html ./MASS/synth.tr.html ./MASS/npk.html ./MASS/OME.html ./MASS/minn38.html ./MASS/caith.html ./MASS/genotype.html ./vcd/Employment.html ./vcd/SpaceShuttle.html ./vcd/JointSports.html ./vcd/VonBort.html ./vcd/Hitters.html ./vcd/Bundesliga.html ./vcd/Saxony.html ./vcd/RepVict.html ./vcd/BrokenMarriage.html ./vcd/Arthritis.html ./vcd/UKSoccer.html ./vcd/Trucks.html ./vcd/CoalMiners.html ./vcd/WeldonDice.html ./vcd/VisualAcuity.html ./vcd/HorseKicks.html ./vcd/MSPatients.html ./vcd/OvaryCancer.html ./vcd/Federalist.html ./vcd/NonResponse.html ./vcd/Rochdale.html ./vcd/Baseball.html ./vcd/Bundestag2005.html ./vcd/WomenQueue.html ./vcd/Lifeboats.html ./vcd/Punishment.html ./vcd/DanishWelfare.html ./vcd/Butterfly.html ./vcd/SexualFun.html ./vcd/JobSatisfaction.html ./vcd/Suicide.html ./vcd/Hospital.html ./vcd/PreSex.html ./lattice/ethanol.html ./lattice/barley.html ./lattice/environmental.html ./lattice/melanoma.html ./lattice/USMortality.html ./lattice/USRegionalMortality.html ./lattice/singer.html LC_ALL=C.UTF-8 LANGUAGE=C.UTF-8 python3 tools/export_notebooks_to_python.py Converting formulas Converting gee_nested_simulation Converting robust_models_0 Converting statespace_tvpvar_mcmc_cfa Converting robust_models_1 Converting pca_fertility_factors Converting statespace_sarimax_faq Converting discrete_choice_overview Converting statespace_varmax Converting statespace_fixed_params Converting chi2_fitting Converting treatment_effect Converting regression_plots Converting ordinal_regression Converting autoregressions Converting metaanalysis1 Converting tsa_arma_1 Converting glm Converting stl_decomposition Converting glm_weights Converting regression_diagnostics Converting contrasts Converting statespace_dfm_coincident Converting statespace_concentrated_scale Converting markov_autoregression Converting exponential_smoothing Converting statespace_seasonal Converting quasibinomial Converting mediation_survival Converting statespace_chandrasekhar Converting distributed_estimation Converting statespace_news Converting statespace_sarimax_stata Converting stats_poisson Converting theta-model Converting recursive_ls Converting deterministics Converting generic_mle Converting stats_rankcompare Converting plots_boxplots Converting quantile_regression Converting statespace_custom_models Converting statespace_cycles Converting postestimation_poisson Converting linear_regression_diagnostics_plots Converting wls Converting ets Converting tsa_arma_0 Converting statespace_sarimax_pymc3 Converting predict Converting statespace_forecasting Converting rolling_ls Converting gee_score_test_simulation Converting statespace_local_linear_trend Converting copula Converting statespace_arma_0 Converting stationarity_detrending_adf_kpss Converting autoregressive_distributed_lag Converting mstl_decomposition Converting categorical_interaction_plot Converting tsa_filters Converting markov_regression Converting mixed_lm_example Converting gls Converting tsa_dates Converting interactions_anova Converting ols Converting lowess Converting influence_glm_logit Converting glm_formula Converting variance_components Converting statespace_structural_harvey_jaeger Converting statespace_sarimax_internet Converting kernel_density Converting discrete_choice_example Converting count_hurdle PYTHONPATH=/build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build \ BUILDDIR=/build/reproducible-path/statsmodels-0.14.5+dfsg/build \ STATSMODELS_DATA=/build/reproducible-path/statsmodels-0.14.5+dfsg/build/datacache/ \ LC_ALL=C.UTF-8 LANGUAGE=C.UTF-8 make -C docs html make[2]: Entering directory '/build/reproducible-path/statsmodels-0.14.5+dfsg/docs' Make static directory for images mkdir -p build/html/_static # generate the examples rst files Generating datasets from installed statsmodels.datasets ../tools/dataset_rst.py Writing anes96.rst. Writing cancer.rst. Writing ccard.rst. Writing china_smoking.rst. Writing co2.rst. Writing committee.rst. Writing copper.rst. Writing cpunish.rst. Writing danish_data.rst. Writing elnino.rst. Writing engel.rst. Writing fair.rst. Writing fertility.rst. Writing grunfeld.rst. Writing heart.rst. Writing interest_inflation.rst. Writing longley.rst. Writing macrodata.rst. Writing modechoice.rst. Writing nile.rst. Writing randhie.rst. Writing scotland.rst. Writing spector.rst. Writing stackloss.rst. Writing star98.rst. Writing statecrime.rst. Writing strikes.rst. Writing sunspots.rst. Executing notebooks from examples/notebooks folder mkdir -p build/source/examples/notebooks/generated # Black list notebooks from doc build here ../tools/nbgenerate.py --parallel --report-errors --skip-existing --execute-only --execution-blacklist statespace_custom_models Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/formulas.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/formulas.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/robust_models_0.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/robust_models_0.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/gee_nested_simulation.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/gee_nested_simulation.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/robust_models_1.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/robust_models_1.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_sarimax_faq.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_sarimax_faq.ipynbExecuting /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/pca_fertility_factors.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/pca_fertility_factors.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/discrete_choice_overview.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/discrete_choice_overview.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_varmax.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_varmax.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_tvpvar_mcmc_cfa.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_tvpvar_mcmc_cfa.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/chi2_fitting.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/chi2_fitting.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_fixed_params.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_fixed_params.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/treatment_effect.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/treatment_effect.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/ordinal_regression.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/ordinal_regression.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/regression_plots.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/regression_plots.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/metaanalysis1.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/metaanalysis1.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/tsa_arma_1.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/tsa_arma_1.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/glm.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/glm.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/autoregressions.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/autoregressions.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/glm_weights.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/glm_weights.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/contrasts.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/contrasts.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/regression_diagnostics.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/regression_diagnostics.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/stl_decomposition.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/stl_decomposition.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/exponential_smoothing.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/exponential_smoothing.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_seasonal.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_seasonal.ipynbExecuting /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/quasibinomial.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/quasibinomial.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_dfm_coincident.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_dfm_coincident.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/mediation_survival.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/mediation_survival.ipynbExecuting /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_concentrated_scale.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_concentrated_scale.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/markov_autoregression.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/markov_autoregression.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_chandrasekhar.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_chandrasekhar.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_news.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_news.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_sarimax_stata.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_sarimax_stata.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/distributed_estimation.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/distributed_estimation.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/stats_poisson.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/stats_poisson.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/theta-model.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/theta-model.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/deterministics.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/deterministics.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/generic_mle.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/generic_mle.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/stats_rankcompare.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/stats_rankcompare.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/recursive_ls.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/recursive_ls.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/plots_boxplots.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/plots_boxplots.ipynb Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 16, in from IPython.terminal.interactiveshell import TerminalInteractiveShell File "/usr/lib/python3/dist-packages/IPython/terminal/interactiveshell.py", line 51, in from .debugger import TerminalPdb, Pdb File "/usr/lib/python3/dist-packages/IPython/terminal/debugger.py", line 6, in from IPython.core.completer import IPCompleter File "/usr/lib/python3/dist-packages/IPython/core/completer.py", line 251, in import jedi File "/usr/lib/python3/dist-packages/jedi/__init__.py", line 32, in from jedi.api import Script, Interpreter, set_debug_function, preload_module File "/usr/lib/python3/dist-packages/jedi/api/__init__.py", line 21, in from jedi.api import classes File "/usr/lib/python3/dist-packages/jedi/api/classes.py", line 24, in from jedi.inference.utils import unite File "/usr/lib/python3/dist-packages/jedi/inference/__init__.py", line 70, in from jedi.inference import imports File "/usr/lib/python3/dist-packages/jedi/inference/imports.py", line 31, in from jedi.inference.compiled.subprocess.functions import ImplicitNSInfo File "/usr/lib/python3/dist-packages/jedi/inference/compiled/subprocess/__init__.py", line 23, in from jedi.inference.compiled.subprocess import functions File "", line 1360, in _find_and_load File "", line 1331, in _find_and_load_unlocked File "", line 935, in _load_unlocked File "", line 1022, in exec_module File "", line 1155, in get_code File "", line 784, in _compile_bytecode KeyboardInterrupt Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/__init__.py", line 7, in from .connect import * # noqa: F403 ^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel/connect.py", line 12, in import jupyter_client File "/usr/lib/python3/dist-packages/jupyter_client/__init__.py", line 3, in from .asynchronous import AsyncKernelClient File "/usr/lib/python3/dist-packages/jupyter_client/asynchronous/__init__.py", line 1, in from .client import AsyncKernelClient # noqa ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/asynchronous/client.py", line 11, in from ..channels import AsyncZMQSocketChannel, HBChannel File "/usr/lib/python3/dist-packages/jupyter_client/channels.py", line 16, in from .session import Session File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 53, in from .jsonutil import extract_dates, json_clean, json_default, squash_dates File "/usr/lib/python3/dist-packages/jupyter_client/jsonutil.py", line 14, in from dateutil.parser import isoparse as _dateutil_parse File "/usr/lib/python3/dist-packages/dateutil/parser/__init__.py", line 2, in from ._parser import parse, parser, parserinfo, ParserError File "/usr/lib/python3/dist-packages/dateutil/parser/_parser.py", line 47, in from .. import tz File "", line 1412, in _handle_fromlist File "/usr/lib/python3/dist-packages/dateutil/__init__.py", line 16, in __getattr__ return importlib.import_module("." + name, __name__) ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.13/importlib/__init__.py", line 88, in import_module return _bootstrap._gcd_import(name[level:], package, level) ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/dateutil/tz/__init__.py", line 2, in from .tz import * File "", line 1360, in _find_and_load File "", line 1331, in _find_and_load_unlocked File "", line 935, in _load_unlocked File "", line 1022, in exec_module File "", line 1155, in get_code File "", line 784, in _compile_bytecode KeyboardInterrupt ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/regression_diagnostics.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/quantile_regression.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/quantile_regression.ipynb ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/recursive_ls.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/regression_plots.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 16, in from IPython.terminal.interactiveshell import TerminalInteractiveShell File "/usr/lib/python3/dist-packages/IPython/terminal/interactiveshell.py", line 34, in from prompt_toolkit.auto_suggest import AutoSuggestFromHistory File "/usr/lib/python3/dist-packages/prompt_toolkit/__init__.py", line 27, in from .application import Application File "/usr/lib/python3/dist-packages/prompt_toolkit/application/__init__.py", line 3, in from .application import Application File "/usr/lib/python3/dist-packages/prompt_toolkit/application/application.py", line 36, in from prompt_toolkit.buffer import Buffer File "/usr/lib/python3/dist-packages/prompt_toolkit/buffer.py", line 23, in from .auto_suggest import AutoSuggest, Suggestion File "/usr/lib/python3/dist-packages/prompt_toolkit/auto_suggest.py", line 22, in from .document import Document File "/usr/lib/python3/dist-packages/prompt_toolkit/document.py", line 13, in from .clipboard import ClipboardData File "/usr/lib/python3/dist-packages/prompt_toolkit/clipboard/__init__.py", line 3, in from .base import Clipboard, ClipboardData, DummyClipboard, DynamicClipboard File "/usr/lib/python3/dist-packages/prompt_toolkit/clipboard/base.py", line 68, in class DummyClipboard(Clipboard): ...<14 lines>... return ClipboardData() File "/usr/lib/python3.13/abc.py", line 105, in __new__ def __new__(mcls, name, bases, namespace, /, **kwargs): KeyboardInterrupt ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/stl_decomposition.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 54, in from .core.application import Application File "/usr/lib/python3/dist-packages/IPython/core/application.py", line 26, in from IPython.core import release, crashhandler File "/usr/lib/python3/dist-packages/IPython/core/crashhandler.py", line 29, in from IPython.core import ultratb File "/usr/lib/python3/dist-packages/IPython/core/ultratb.py", line 96, in import pydoc File "/usr/lib/python3.13/pydoc.py", line 1805, in class Helper: ...<412 lines>... ''') File "/usr/lib/python3.13/pydoc.py", line 1805, in Helper class Helper: KeyboardInterrupt ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_tvpvar_mcmc_cfa.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 17, in from IPython.terminal.ipapp import load_default_config File "/usr/lib/python3/dist-packages/IPython/terminal/ipapp.py", line 28, in from IPython.core.magics import ( ScriptMagics, LoggingMagics ) File "/usr/lib/python3/dist-packages/IPython/core/magics/__init__.py", line 21, in from .execution import ExecutionMagics File "/usr/lib/python3/dist-packages/IPython/core/magics/execution.py", line 17, in import pstats File "/usr/lib/python3.13/pstats.py", line 58, in @dataclass(unsafe_hash=True) ~~~~~~~~~^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.13/dataclasses.py", line 1295, in wrap return _process_class(cls, init, repr, eq, order, unsafe_hash, frozen, match_args, kw_only, slots, weakref_slot) File "/usr/lib/python3.13/dataclasses.py", line 1157, in _process_class func_builder.add_fns_to_class(cls) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^ File "/usr/lib/python3.13/dataclasses.py", line 498, in add_fns_to_class exec(txt, self.globals, ns) ~~~~^^^^^^^^^^^^^^^^^^^^^^^ File "", line 0, in KeyboardInterrupt ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_chandrasekhar.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/treatment_effect.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Traceback (most recent call last): Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/__init__.py", line 7, in from .connect import * # noqa: F403 ^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel/connect.py", line 12, in import jupyter_client File "/usr/lib/python3/dist-packages/jupyter_client/__init__.py", line 3, in from .asynchronous import AsyncKernelClient File "/usr/lib/python3/dist-packages/jupyter_client/asynchronous/__init__.py", line 1, in from .client import AsyncKernelClient # noqa ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/asynchronous/client.py", line 11, in from ..channels import AsyncZMQSocketChannel, HBChannel File "/usr/lib/python3/dist-packages/jupyter_client/channels.py", line 16, in from .session import Session File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 31, in from tornado.ioloop import IOLoop File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3/dist-packages/tornado/ioloop.py", line 39, in from tornado.concurrent import ( ...<5 lines>... ) File "/usr/lib/python3/dist-packages/tornado/concurrent.py", line 34, in from tornado.log import app_log File "/usr/lib/python3/dist-packages/tornado/log.py", line 38, in import colorama # type: ignore ^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/colorama/__init__.py", line 2, in from .initialise import init, deinit, reinit, colorama_text, just_fix_windows_console File "/usr/lib/python3/dist-packages/colorama/initialise.py", line 6, in from .ansitowin32 import AnsiToWin32 File "/usr/lib/python3/dist-packages/colorama/ansitowin32.py", line 7, in from .winterm import enable_vt_processing, WinTerm, WinColor, WinStyle File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 17, in from IPython.terminal.ipapp import load_default_config File "/usr/lib/python3/dist-packages/IPython/terminal/ipapp.py", line 28, in from IPython.core.magics import ( ScriptMagics, LoggingMagics ) File "/usr/lib/python3/dist-packages/IPython/core/magics/__init__.py", line 17, in from .basic import BasicMagics, AsyncMagics File "/usr/lib/python3/dist-packages/IPython/core/magics/basic.py", line 74, in class BasicMagics(Magics): ...<523 lines>... write(nb, f, version=4) File "/usr/lib/python3/dist-packages/IPython/core/magics/basic.py", line 570, in BasicMagics @magic_arguments.magic_arguments() ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^ File "/usr/lib/python3/dist-packages/IPython/core/magic_arguments.py", line 241, in __call__ func.parser = construct_parser(func) ~~~~~~~~~~~~~~~~^^^^^^ File "/usr/lib/python3/dist-packages/colorama/winterm.py", line 9, in from . import win32 File "/usr/lib/python3/dist-packages/colorama/win32.py", line 10, in import ctypes File "/usr/lib/python3.13/ctypes/__init__.py", line 569, in from ctypes._endian import BigEndianStructure, LittleEndianStructure File "/usr/lib/python3/dist-packages/IPython/core/magic_arguments.py", line 188, in construct_parser magic_func.__doc__ = parser.format_help() ~~~~~~~~~~~~~~~~~~^^ File "/usr/lib/python3.13/argparse.py", line 2625, in format_help return formatter.format_help() ~~~~~~~~~~~~~~~~~~~~~^^ File "/usr/lib/python3.13/argparse.py", line 301, in format_help help = self._root_section.format_help() File "/usr/lib/python3.13/argparse.py", line 230, in format_help item_help = join([func(*args) for func, args in self.items]) ~~~~^^^^^^^ File "/usr/lib/python3.13/argparse.py", line 230, in format_help item_help = join([func(*args) for func, args in self.items]) ~~~~^^^^^^^ File "/usr/lib/python3.13/argparse.py", line 528, in _format_action help_lines = self._split_lines(help_text, help_width) File "/usr/lib/python3.13/argparse.py", line 629, in _split_lines text = self._whitespace_matcher.sub(' ', text).strip() ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^ KeyboardInterrupt File "", line 1360, in _find_and_load File "", line 1322, in _find_and_load_unlocked File "", line 1262, in _find_spec File "", line 1559, in find_spec File "", line 1533, in _get_spec File "", line 1636, in find_spec File "", line 1679, in _fill_cache KeyboardInterrupt ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/mediation_survival.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 16, in from IPython.terminal.interactiveshell import TerminalInteractiveShell File "/usr/lib/python3/dist-packages/IPython/terminal/interactiveshell.py", line 34, in from prompt_toolkit.auto_suggest import AutoSuggestFromHistory File "/usr/lib/python3/dist-packages/prompt_toolkit/__init__.py", line 27, in from .application import Application File "/usr/lib/python3/dist-packages/prompt_toolkit/application/__init__.py", line 3, in from .application import Application File "/usr/lib/python3/dist-packages/prompt_toolkit/application/application.py", line 36, in from prompt_toolkit.buffer import Buffer File "/usr/lib/python3/dist-packages/prompt_toolkit/buffer.py", line 26, in from .completion import ( ...<5 lines>... ) File "/usr/lib/python3/dist-packages/prompt_toolkit/completion/__init__.py", line 3, in from .base import ( ...<9 lines>... ) File "/usr/lib/python3/dist-packages/prompt_toolkit/completion/base.py", line 11, in from prompt_toolkit.formatted_text import AnyFormattedText, StyleAndTextTuples File "/usr/lib/python3/dist-packages/prompt_toolkit/formatted_text/__init__.py", line 27, in from .html import HTML File "/usr/lib/python3/dist-packages/prompt_toolkit/formatted_text/html.py", line 3, in import xml.dom.minidom as minidom File "", line 1360, in _find_and_load File "", line 1331, in _find_and_load_unlocked File "", line 935, in _load_unlocked File "", line 1022, in exec_module File "", line 1155, in get_code File "", line 784, in _compile_bytecode KeyboardInterrupt ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_news.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_cycles.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_cycles.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/wls.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/wls.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/ets.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/ets.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/tsa_arma_0.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/tsa_arma_0.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/linear_regression_diagnostics_plots.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/linear_regression_diagnostics_plots.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_sarimax_pymc3.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_sarimax_pymc3.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/predict.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/predict.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/postestimation_poisson.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/postestimation_poisson.ipynb ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_dfm_coincident.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 18, in app.launch_new_instance() ~~~~~~~~~~~~~~~~~~~~~~~^^ File "/usr/lib/python3/dist-packages/traitlets/config/application.py", line 1074, in launch_instance app.initialize(argv) ~~~~~~~~~~~~~~^^^^^^ File "/usr/lib/python3/dist-packages/traitlets/config/application.py", line 118, in inner return method(app, *args, **kwargs) File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 692, in initialize self.init_sockets() ~~~~~~~~~~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 345, in init_sockets self.init_control(context) ~~~~~~~~~~~~~~~~~^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 369, in init_control self.control_thread = ControlThread(daemon=True) ~~~~~~~~~~~~~^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel/control.py", line 15, in __init__ self.io_loop = IOLoop(make_current=False) ~~~~~~^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/tornado/util.py", line 263, in __new__ impl = cls.configured_class() File "/usr/lib/python3/dist-packages/tornado/util.py", line 335, in configured_class base.__impl_class = cls.configurable_default() ~~~~~~~~~~~~~~~~~~~~~~~~^^ File "/usr/lib/python3/dist-packages/tornado/ioloop.py", line 360, in configurable_default from tornado.platform.asyncio import AsyncIOLoop File "", line 1360, in _find_and_load File "", line 1331, in _find_and_load_unlocked File "", line 935, in _load_unlocked File "", line 1022, in exec_module File "", line 1155, in get_code File "", line 784, in _compile_bytecode KeyboardInterrupt Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_forecasting.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_forecasting.ipynb ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/quasibinomial.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 14, in from IPython.core.magic import Magics, magics_class, line_magic File "/usr/lib/python3/dist-packages/IPython/core/magic.py", line 20, in from . import oinspect File "/usr/lib/python3/dist-packages/IPython/core/oinspect.py", line 43, in from IPython.core import page File "/usr/lib/python3/dist-packages/IPython/core/page.py", line 28, in from IPython.display import display File "/usr/lib/python3/dist-packages/IPython/display.py", line 44, in from IPython.lib.display import * File "", line 1360, in _find_and_load File "", line 1331, in _find_and_load_unlocked File "", line 935, in _load_unlocked File "", line 1022, in exec_module File "", line 1118, in get_code File "", line 1218, in get_data KeyboardInterrupt ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_sarimax_faq.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/rolling_ls.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/rolling_ls.ipynb Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 54, in from .core.application import Application File "/usr/lib/python3/dist-packages/IPython/core/application.py", line 26, in from IPython.core import release, crashhandler File "/usr/lib/python3/dist-packages/IPython/core/crashhandler.py", line 29, in from IPython.core import ultratb File "/usr/lib/python3/dist-packages/IPython/core/ultratb.py", line 96, in import pydoc File "", line 1360, in _find_and_load File "", line 1331, in _find_and_load_unlocked File "", line 935, in _load_unlocked File "", line 1022, in exec_module File "", line 1155, in get_code File "", line 784, in _compile_bytecode KeyboardInterrupt ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/formulas.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 16, in from IPython.terminal.interactiveshell import TerminalInteractiveShell File "/usr/lib/python3/dist-packages/IPython/terminal/interactiveshell.py", line 34, in from prompt_toolkit.auto_suggest import AutoSuggestFromHistory File "/usr/lib/python3/dist-packages/prompt_toolkit/__init__.py", line 27, in from .application import Application File "/usr/lib/python3/dist-packages/prompt_toolkit/application/__init__.py", line 3, in from .application import Application File "/usr/lib/python3/dist-packages/prompt_toolkit/application/application.py", line 36, in from prompt_toolkit.buffer import Buffer File "/usr/lib/python3/dist-packages/prompt_toolkit/buffer.py", line 26, in from .completion import ( ...<5 lines>... ) File "/usr/lib/python3/dist-packages/prompt_toolkit/completion/__init__.py", line 3, in from .base import ( ...<9 lines>... ) File "/usr/lib/python3/dist-packages/prompt_toolkit/completion/base.py", line 11, in from prompt_toolkit.formatted_text import AnyFormattedText, StyleAndTextTuples File "/usr/lib/python3/dist-packages/prompt_toolkit/formatted_text/__init__.py", line 27, in from .html import HTML File "/usr/lib/python3/dist-packages/prompt_toolkit/formatted_text/html.py", line 3, in import xml.dom.minidom as minidom File "", line 1360, in _find_and_load File "", line 1331, in _find_and_load_unlocked File "", line 935, in _load_unlocked File "", line 1022, in exec_module File "", line 1118, in get_code File "", line 1218, in get_data KeyboardInterrupt Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/gee_score_test_simulation.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/gee_score_test_simulation.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/formulas.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_local_linear_trend.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_local_linear_trend.ipynb ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_sarimax_stata.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/copula.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/copula.ipynb Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 15, in from IPython.core.interactiveshell import DummyMod, InteractiveShell File "/usr/lib/python3/dist-packages/IPython/core/interactiveshell.py", line 97, in from IPython.core import magic, oinspect, page, prefilter, ultratb File "/usr/lib/python3/dist-packages/IPython/core/prefilter.py", line 601, in class AutoHandler(PrefilterHandler): ...<66 lines>... return newcmd File "/usr/lib/python3/dist-packages/traitlets/traitlets.py", line 970, in __init__ cls.setup_class(classdict) ~~~~~~~~~~~~~~~^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/traitlets/traitlets.py", line 1006, in setup_class for name in dir(cls): ~~~^^^^^ KeyboardInterrupt ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/plots_boxplots.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_fixed_params.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/gee_nested_simulation.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 15, in from IPython.core.interactiveshell import DummyMod, InteractiveShell File "/usr/lib/python3/dist-packages/IPython/core/interactiveshell.py", line 109, in from IPython.core.formatters import DisplayFormatter File "/usr/lib/python3/dist-packages/IPython/core/formatters.py", line 792, in class MarkdownFormatter(BaseFormatter): ...<11 lines>... print_method = ObjectName('_repr_markdown_') File "/usr/lib/python3/dist-packages/traitlets/traitlets.py", line 970, in __init__ cls.setup_class(classdict) ~~~~~~~~~~~~~~~^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/traitlets/traitlets.py", line 1002, in setup_class super().setup_class(classdict) ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/traitlets/traitlets.py", line 985, in setup_class for _, v in getmembers(cls): ~~~~~~~~~~^^^^^ File "/usr/lib/python3/dist-packages/traitlets/traitlets.py", line 250, in getmembers results.append((key, value)) ~~~~~~~~~~~~~~^^^^^^^^^^^^^^ KeyboardInterrupt Traceback (most recent call last): Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 16, in from IPython.terminal.interactiveshell import TerminalInteractiveShell File "/usr/lib/python3/dist-packages/IPython/terminal/interactiveshell.py", line 34, in from prompt_toolkit.auto_suggest import AutoSuggestFromHistory File "/usr/lib/python3/dist-packages/prompt_toolkit/__init__.py", line 27, in from .application import Application File "/usr/lib/python3/dist-packages/prompt_toolkit/application/__init__.py", line 3, in from .application import Application File "/usr/lib/python3/dist-packages/prompt_toolkit/application/application.py", line 36, in from prompt_toolkit.buffer import Buffer File "/usr/lib/python3/dist-packages/prompt_toolkit/buffer.py", line 23, in from .auto_suggest import AutoSuggest, Suggestion File "", line 1360, in _find_and_load File "", line 1331, in _find_and_load_unlocked File "", line 935, in _load_unlocked File "", line 1022, in exec_module File "", line 1155, in get_code File "", line 784, in _compile_bytecode KeyboardInterrupt ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_seasonal.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/robust_models_0.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/autoregressive_distributed_lag.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/autoregressive_distributed_lag.ipynb ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/stats_poisson.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/mstl_decomposition.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/mstl_decomposition.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/categorical_interaction_plot.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/categorical_interaction_plot.ipynb ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/robust_models_1.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/tsa_filters.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/tsa_filters.ipynb ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/ordinal_regression.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/glm_weights.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_concentrated_scale.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/deterministics.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/markov_regression.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/markov_regression.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/mixed_lm_example.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/mixed_lm_example.ipynbExecuting /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/tsa_dates.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/tsa_dates.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/gls.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/gls.ipynb Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 16, in from IPython.terminal.interactiveshell import TerminalInteractiveShell File "/usr/lib/python3/dist-packages/IPython/terminal/interactiveshell.py", line 34, in from prompt_toolkit.auto_suggest import AutoSuggestFromHistory File "/usr/lib/python3/dist-packages/prompt_toolkit/__init__.py", line 27, in from .application import Application File "/usr/lib/python3/dist-packages/prompt_toolkit/application/__init__.py", line 3, in from .application import Application File "/usr/lib/python3/dist-packages/prompt_toolkit/application/application.py", line 36, in from prompt_toolkit.buffer import Buffer File "/usr/lib/python3/dist-packages/prompt_toolkit/buffer.py", line 23, in from .auto_suggest import AutoSuggest, Suggestion File "/usr/lib/python3/dist-packages/prompt_toolkit/auto_suggest.py", line 22, in from .document import Document File "/usr/lib/python3/dist-packages/prompt_toolkit/document.py", line 14, in from .filters import vi_mode File "/usr/lib/python3/dist-packages/prompt_toolkit/filters/__init__.py", line 22, in from .app import * File "/usr/lib/python3/dist-packages/prompt_toolkit/filters/app.py", line 13, in from .base import Condition File "", line 1360, in _find_and_load File "", line 1331, in _find_and_load_unlocked File "", line 935, in _load_unlocked File "", line 1022, in exec_module File "", line 1155, in get_code File "", line 784, in _compile_bytecode KeyboardInterrupt Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/interactions_anova.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/interactions_anova.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/gee_nested_simulation.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/robust_models_0.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_tvpvar_mcmc_cfa.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/robust_models_1.ipynb ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/stats_rankcompare.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/ols.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/ols.ipynb ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/contrasts.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/lowess.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/lowess.ipynb ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/pca_fertility_factors.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_arma_0.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_arma_0.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/stationarity_detrending_adf_kpss.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/stationarity_detrending_adf_kpss.ipynb ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/exponential_smoothing.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/influence_glm_logit.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/influence_glm_logit.ipynb ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/glm.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/pca_fertility_factors.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_sarimax_faq.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/glm_formula.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/glm_formula.ipynb Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/variance_components.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/variance_components.ipynb ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/quantile_regression.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_structural_harvey_jaeger.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_structural_harvey_jaeger.ipynb ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/distributed_estimation.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_sarimax_internet.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_sarimax_internet.ipynb Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 16, in from IPython.terminal.interactiveshell import TerminalInteractiveShell File "/usr/lib/python3/dist-packages/IPython/terminal/interactiveshell.py", line 34, in from prompt_toolkit.auto_suggest import AutoSuggestFromHistory File "/usr/lib/python3/dist-packages/prompt_toolkit/__init__.py", line 27, in from .application import Application File "/usr/lib/python3/dist-packages/prompt_toolkit/application/__init__.py", line 3, in from .application import Application File "/usr/lib/python3/dist-packages/prompt_toolkit/application/application.py", line 56, in from prompt_toolkit.key_binding.defaults import load_key_bindings File "/usr/lib/python3/dist-packages/prompt_toolkit/key_binding/defaults.py", line 19, in from prompt_toolkit.key_binding.bindings.vi import ( ...<2 lines>... ) File "/usr/lib/python3/dist-packages/prompt_toolkit/key_binding/bindings/vi.py", line 38, in from prompt_toolkit.key_binding.digraphs import DIGRAPHS File "", line 1360, in _find_and_load File "", line 1331, in _find_and_load_unlocked File "", line 935, in _load_unlocked File "", line 1022, in exec_module File "", line 1155, in get_code File "", line 784, in _compile_bytecode KeyboardInterrupt Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 16, in from IPython.terminal.interactiveshell import TerminalInteractiveShell File "/usr/lib/python3/dist-packages/IPython/terminal/interactiveshell.py", line 51, in from .debugger import TerminalPdb, Pdb File "/usr/lib/python3/dist-packages/IPython/terminal/debugger.py", line 6, in from IPython.core.completer import IPCompleter File "/usr/lib/python3/dist-packages/IPython/core/completer.py", line 251, in import jedi File "/usr/lib/python3/dist-packages/jedi/__init__.py", line 32, in from jedi.api import Script, Interpreter, set_debug_function, preload_module File "/usr/lib/python3/dist-packages/jedi/api/__init__.py", line 21, in from jedi.api import classes File "/usr/lib/python3/dist-packages/jedi/api/classes.py", line 24, in from jedi.inference.utils import unite File "/usr/lib/python3/dist-packages/jedi/inference/__init__.py", line 70, in from jedi.inference import imports File "/usr/lib/python3/dist-packages/jedi/inference/imports.py", line 31, in from jedi.inference.compiled.subprocess.functions import ImplicitNSInfo File "/usr/lib/python3/dist-packages/jedi/inference/compiled/subprocess/__init__.py", line 23, in from jedi.inference.compiled.subprocess import functions File "", line 1360, in _find_and_load File "", line 1331, in _find_and_load_unlocked File "", line 935, in _load_unlocked File "", line 1022, in exec_module File "", line 1155, in get_code File "", line 784, in _compile_bytecode KeyboardInterrupt ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/wls.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/kernel_density.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/kernel_density.ipynb ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/predict.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/discrete_choice_example.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/discrete_choice_example.ipynb Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 16, in from IPython.terminal.interactiveshell import TerminalInteractiveShell File "/usr/lib/python3/dist-packages/IPython/terminal/interactiveshell.py", line 51, in from .debugger import TerminalPdb, Pdb File "/usr/lib/python3/dist-packages/IPython/terminal/debugger.py", line 6, in from IPython.core.completer import IPCompleter File "/usr/lib/python3/dist-packages/IPython/core/completer.py", line 251, in import jedi File "/usr/lib/python3/dist-packages/jedi/__init__.py", line 32, in from jedi.api import Script, Interpreter, set_debug_function, preload_module File "/usr/lib/python3/dist-packages/jedi/api/__init__.py", line 21, in from jedi.api import classes File "/usr/lib/python3/dist-packages/jedi/api/classes.py", line 24, in from jedi.inference.utils import unite File "/usr/lib/python3/dist-packages/jedi/inference/__init__.py", line 70, in from jedi.inference import imports File "/usr/lib/python3/dist-packages/jedi/inference/imports.py", line 31, in from jedi.inference.compiled.subprocess.functions import ImplicitNSInfo File "/usr/lib/python3/dist-packages/jedi/inference/compiled/subprocess/__init__.py", line 23, in from jedi.inference.compiled.subprocess import functions File "", line 1360, in _find_and_load File "", line 1331, in _find_and_load_unlocked File "", line 935, in _load_unlocked File "", line 1022, in exec_module File "", line 1155, in get_code File "", line 784, in _compile_bytecode KeyboardInterrupt ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/linear_regression_diagnostics_plots.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Executing /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/count_hurdle.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/count_hurdle.ipynb Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 18, in app.launch_new_instance() ~~~~~~~~~~~~~~~~~~~~~~~^^ File "/usr/lib/python3/dist-packages/traitlets/config/application.py", line 1074, in launch_instance app.initialize(argv) ~~~~~~~~~~~~~~^^^^^^ File "/usr/lib/python3/dist-packages/traitlets/config/application.py", line 118, in inner return method(app, *args, **kwargs) File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 692, in initialize self.init_sockets() ~~~~~~~~~~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 345, in init_sockets self.init_control(context) ~~~~~~~~~~~~~~~~~^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 369, in init_control self.control_thread = ControlThread(daemon=True) ~~~~~~~~~~~~~^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel/control.py", line 15, in __init__ self.io_loop = IOLoop(make_current=False) ~~~~~~^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/tornado/util.py", line 263, in __new__ impl = cls.configured_class() File "/usr/lib/python3/dist-packages/tornado/util.py", line 335, in configured_class base.__impl_class = cls.configurable_default() ~~~~~~~~~~~~~~~~~~~~~~~~^^ File "/usr/lib/python3/dist-packages/tornado/ioloop.py", line 360, in configurable_default from tornado.platform.asyncio import AsyncIOLoop File "", line 1360, in _find_and_load File "", line 1331, in _find_and_load_unlocked File "", line 935, in _load_unlocked File "", line 1022, in exec_module File "", line 1155, in get_code File "", line 784, in _compile_bytecode KeyboardInterrupt ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_sarimax_pymc3.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_cycles.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 16, in from IPython.terminal.interactiveshell import TerminalInteractiveShell File "/usr/lib/python3/dist-packages/IPython/terminal/interactiveshell.py", line 34, in from prompt_toolkit.auto_suggest import AutoSuggestFromHistory File "/usr/lib/python3/dist-packages/prompt_toolkit/__init__.py", line 27, in from .application import Application File "/usr/lib/python3/dist-packages/prompt_toolkit/application/__init__.py", line 3, in from .application import Application File "/usr/lib/python3/dist-packages/prompt_toolkit/application/application.py", line 36, in from prompt_toolkit.buffer import Buffer File "/usr/lib/python3/dist-packages/prompt_toolkit/buffer.py", line 26, in from .completion import ( ...<5 lines>... ) File "/usr/lib/python3/dist-packages/prompt_toolkit/completion/__init__.py", line 3, in from .base import ( ...<9 lines>... ) File "/usr/lib/python3/dist-packages/prompt_toolkit/completion/base.py", line 11, in from prompt_toolkit.formatted_text import AnyFormattedText, StyleAndTextTuples File "/usr/lib/python3/dist-packages/prompt_toolkit/formatted_text/__init__.py", line 27, in from .html import HTML File "/usr/lib/python3/dist-packages/prompt_toolkit/formatted_text/html.py", line 3, in import xml.dom.minidom as minidom File "", line 1360, in _find_and_load File "", line 1331, in _find_and_load_unlocked File "", line 935, in _load_unlocked File "", line 1022, in exec_module File "", line 1118, in get_code File "", line 1218, in get_data KeyboardInterrupt Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 16, in from IPython.terminal.interactiveshell import TerminalInteractiveShell File "/usr/lib/python3/dist-packages/IPython/terminal/interactiveshell.py", line 51, in from .debugger import TerminalPdb, Pdb File "/usr/lib/python3/dist-packages/IPython/terminal/debugger.py", line 6, in from IPython.core.completer import IPCompleter File "/usr/lib/python3/dist-packages/IPython/core/completer.py", line 251, in import jedi File "/usr/lib/python3/dist-packages/jedi/__init__.py", line 32, in from jedi.api import Script, Interpreter, set_debug_function, preload_module File "/usr/lib/python3/dist-packages/jedi/api/__init__.py", line 21, in from jedi.api import classes File "/usr/lib/python3/dist-packages/jedi/api/classes.py", line 24, in from jedi.inference.utils import unite File "/usr/lib/python3/dist-packages/jedi/inference/__init__.py", line 70, in from jedi.inference import imports File "/usr/lib/python3/dist-packages/jedi/inference/imports.py", line 29, in from jedi.inference.gradual.typeshed import import_module_decorator, \ create_stub_module, parse_stub_module File "/usr/lib/python3/dist-packages/jedi/inference/gradual/typeshed.py", line 12, in from jedi.inference.gradual.stub_value import TypingModuleWrapper, StubModuleValue File "/usr/lib/python3/dist-packages/jedi/inference/gradual/stub_value.py", line 5, in from jedi.inference.gradual.typing import TypingModuleFilterWrapper File "/usr/lib/python3/dist-packages/jedi/inference/gradual/typing.py", line 21, in from jedi.inference.gradual.type_var import TypeVarClass File "", line 1360, in _find_and_load File "", line 1331, in _find_and_load_unlocked File "", line 935, in _load_unlocked File "", line 1022, in exec_module File "", line 1155, in get_code File "", line 782, in _compile_bytecode KeyboardInterrupt ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/postestimation_poisson.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/tsa_arma_0.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 16, in from IPython.terminal.interactiveshell import TerminalInteractiveShell File "/usr/lib/python3/dist-packages/IPython/terminal/interactiveshell.py", line 51, in from .debugger import TerminalPdb, Pdb File "/usr/lib/python3/dist-packages/IPython/terminal/debugger.py", line 6, in from IPython.core.completer import IPCompleter File "/usr/lib/python3/dist-packages/IPython/core/completer.py", line 251, in import jedi File "/usr/lib/python3/dist-packages/jedi/__init__.py", line 32, in from jedi.api import Script, Interpreter, set_debug_function, preload_module File "/usr/lib/python3/dist-packages/jedi/api/__init__.py", line 21, in from jedi.api import classes File "/usr/lib/python3/dist-packages/jedi/api/classes.py", line 748, in class Name(BaseName): ...<40 lines>... return hash((self._name.start_pos, self.module_path, self.name, self._inference_state)) KeyboardInterrupt ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/lowess.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 16, in from ipykernel import kernelapp as app File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 21, in from IPython.core.application import ( # type:ignore[attr-defined] ...<4 lines>... ) File "/usr/lib/python3/dist-packages/IPython/__init__.py", line 55, in from .terminal.embed import embed File "/usr/lib/python3/dist-packages/IPython/terminal/embed.py", line 16, in from IPython.terminal.interactiveshell import TerminalInteractiveShell File "/usr/lib/python3/dist-packages/IPython/terminal/interactiveshell.py", line 51, in from .debugger import TerminalPdb, Pdb File "/usr/lib/python3/dist-packages/IPython/terminal/debugger.py", line 6, in from IPython.core.completer import IPCompleter File "/usr/lib/python3/dist-packages/IPython/core/completer.py", line 251, in import jedi File "/usr/lib/python3/dist-packages/jedi/__init__.py", line 32, in from jedi.api import Script, Interpreter, set_debug_function, preload_module File "/usr/lib/python3/dist-packages/jedi/api/__init__.py", line 21, in from jedi.api import classes File "/usr/lib/python3/dist-packages/jedi/api/classes.py", line 24, in from jedi.inference.utils import unite File "/usr/lib/python3/dist-packages/jedi/inference/__init__.py", line 70, in from jedi.inference import imports File "/usr/lib/python3/dist-packages/jedi/inference/imports.py", line 29, in from jedi.inference.gradual.typeshed import import_module_decorator, \ create_stub_module, parse_stub_module File "/usr/lib/python3/dist-packages/jedi/inference/gradual/typeshed.py", line 12, in from jedi.inference.gradual.stub_value import TypingModuleWrapper, StubModuleValue File "/usr/lib/python3/dist-packages/jedi/inference/gradual/stub_value.py", line 2, in from jedi.inference.value.module import ModuleValue File "/usr/lib/python3/dist-packages/jedi/inference/value/__init__.py", line 5, in from jedi.inference.value.klass import ClassValue File "/usr/lib/python3/dist-packages/jedi/inference/value/klass.py", line 48, in from jedi.inference.arguments import unpack_arglist, ValuesArguments File "/usr/lib/python3/dist-packages/jedi/inference/arguments.py", line 127, in class _AbstractArgumentsMixin: ...<4 lines>... return [] KeyboardInterrupt ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/interactions_anova.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/gee_score_test_simulation.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/markov_regression.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_forecasting.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 18, in app.launch_new_instance() ~~~~~~~~~~~~~~~~~~~~~~~^^ File "/usr/lib/python3/dist-packages/traitlets/config/application.py", line 1074, in launch_instance app.initialize(argv) ~~~~~~~~~~~~~~^^^^^^ File "/usr/lib/python3/dist-packages/traitlets/config/application.py", line 118, in inner return method(app, *args, **kwargs) File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 699, in initialize self.init_io() ~~~~~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 483, in init_io sys.stdout = outstream_factory(self.session, self.iopub_thread, "stdout", echo=e_stdout) ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel/iostream.py", line 479, in __init__ self._setup_stream_redirects(name) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel/iostream.py", line 548, in _setup_stream_redirects self.watch_fd_thread.start() ~~~~~~~~~~~~~~~~~~~~~~~~~~^^ File "/usr/lib/python3.13/threading.py", line 975, in start _start_joinable_thread(self._bootstrap, handle=self._handle, ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ daemon=self.daemon) ^^^^^^^^^^^^^^^^^^^ KeyboardInterrupt ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/ols.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Exception in thread Heartbeat: Traceback (most recent call last): Exception in thread Heartbeat: Traceback (most recent call last): File "/usr/lib/python3.13/threading.py", line 1043, in _bootstrap_inner self.run() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/heartbeat.py", line 99, in run self._bind_socket() ~~~~~~~~~~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/heartbeat.py", line 78, in _bind_socket self._try_bind_socket() ~~~~~~~~~~~~~~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/heartbeat.py", line 65, in _try_bind_socket return self.socket.bind(f"{self.transport}://{self.ip}" + c + str(self.port)) ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/zmq/sugar/socket.py", line 320, in bind super().bind(addr) ~~~~~~~~~~~~^^^^^^ File "_zmq.py", line 942, in zmq.backend.cython._zmq.Socket.bind File "_zmq.py", line 180, in zmq.backend.cython._zmq._check_rc zmq.error.ZMQError: Address already in use (addr='tcp://127.0.0.1:48621') ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_arma_0.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** Traceback (most recent call last): File "/usr/lib/python3.13/runpy.py", line 198, in _run_module_as_main return _run_code(code, main_globals, None, "__main__", mod_spec) File "/usr/lib/python3.13/runpy.py", line 88, in _run_code exec(code, run_globals) ~~~~^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel_launcher.py", line 18, in app.launch_new_instance() ~~~~~~~~~~~~~~~~~~~~~~~^^ File "/usr/lib/python3/dist-packages/traitlets/config/application.py", line 1074, in launch_instance app.initialize(argv) ~~~~~~~~~~~~~~^^^^^^ File "/usr/lib/python3/dist-packages/traitlets/config/application.py", line 118, in inner return method(app, *args, **kwargs) File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 692, in initialize self.init_sockets() ~~~~~~~~~~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 345, in init_sockets self.init_control(context) ~~~~~~~~~~~~~~~~~^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 352, in init_control self.control_port = self._bind_socket(self.control_socket, self.control_port) ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 253, in _bind_socket return self._try_bind_socket(s, port) ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelapp.py", line 229, in _try_bind_socket s.bind("tcp://%s:%i" % (self.ip, port)) ~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/zmq/sugar/socket.py", line 320, in bind super().bind(addr) ~~~~~~~~~~~~^^^^^^ File "_zmq.py", line 942, in zmq.backend.cython._zmq.Socket.bind File "_zmq.py", line 169, in zmq.backend.cython._zmq._check_rc KeyboardInterrupt ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_sarimax_internet.ipynb Kernel didn't respond in 60 seconds Kernel didn't respond in 60 seconds ****************************************************************************** ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/autoregressions.ipynb An error occurred while executing the following cell: ------------------ %matplotlib inline import matplotlib.pyplot as plt import pandas as pd import pandas_datareader as pdr import seaborn as sns from statsmodels.tsa.api import acf, graphics, pacf from statsmodels.tsa.ar_model import AutoReg, ar_select_order ------------------ ----- stderr ----- Matplotlib is building the font cache; this may take a moment. ----- stderr ----- Could not save font_manager cache Lock error: Matplotlib failed to acquire the following lock file: /build/reproducible-path/statsmodels-0.14.5+dfsg/build/fontlist-v390.json.matplotlib-lock This maybe due to another process holding this lock file. If you are sure no other Matplotlib process is running, remove this file and try again. ------------------ --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[1], line 4 2 import matplotlib.pyplot as plt 3 import pandas as pd ----> 4 import pandas_datareader as pdr 5 import seaborn as sns 6 from statsmodels.tsa.api import acf, graphics, pacf ModuleNotFoundError: No module named 'pandas_datareader' An error occurred while executing the following cell: ------------------ %matplotlib inline import matplotlib.pyplot as plt import pandas as pd import pandas_datareader as pdr import seaborn as sns from statsmodels.tsa.api import acf, graphics, pacf from statsmodels.tsa.ar_model import AutoReg, ar_select_order ------------------ ----- stderr ----- Matplotlib is building the font cache; this may take a moment. ----- stderr ----- Could not save font_manager cache Lock error: Matplotlib failed to acquire the following lock file: /build/reproducible-path/statsmodels-0.14.5+dfsg/build/fontlist-v390.json.matplotlib-lock This maybe due to another process holding this lock file. If you are sure no other Matplotlib process is running, remove this file and try again. ------------------ --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[1], line 4 2 import matplotlib.pyplot as plt 3 import pandas as pd ----> 4 import pandas_datareader as pdr 5 import seaborn as sns 6 from statsmodels.tsa.api import acf, graphics, pacf ModuleNotFoundError: No module named 'pandas_datareader' ****************************************************************************** ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/theta-model.ipynb An error occurred while executing the following cell: ------------------ import matplotlib.pyplot as plt import numpy as np import pandas as pd import pandas_datareader as pdr import seaborn as sns plt.rc("figure", figsize=(16, 8)) plt.rc("font", size=15) plt.rc("lines", linewidth=3) sns.set_style("darkgrid") ------------------ --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[1], line 4 2 import numpy as np 3 import pandas as pd ----> 4 import pandas_datareader as pdr 5 import seaborn as sns 7 plt.rc("figure", figsize=(16, 8)) ModuleNotFoundError: No module named 'pandas_datareader' An error occurred while executing the following cell: ------------------ import matplotlib.pyplot as plt import numpy as np import pandas as pd import pandas_datareader as pdr import seaborn as sns plt.rc("figure", figsize=(16, 8)) plt.rc("font", size=15) plt.rc("lines", linewidth=3) sns.set_style("darkgrid") ------------------ --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[1], line 4 2 import numpy as np 3 import pandas as pd ----> 4 import pandas_datareader as pdr 5 import seaborn as sns 7 plt.rc("figure", figsize=(16, 8)) ModuleNotFoundError: No module named 'pandas_datareader' ****************************************************************************** ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/discrete_choice_overview.ipynb ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/rolling_ls.ipynb An error occurred while executing the following cell: ------------------ import matplotlib.pyplot as plt import numpy as np import pandas as pd import pandas_datareader as pdr import seaborn import statsmodels.api as sm from statsmodels.regression.rolling import RollingOLS seaborn.set_style("darkgrid") pd.plotting.register_matplotlib_converters() %matplotlib inline ------------------ --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[1], line 4 2 import numpy as np 3 import pandas as pd ----> 4 import pandas_datareader as pdr 5 import seaborn 7 import statsmodels.api as sm ModuleNotFoundError: No module named 'pandas_datareader' An error occurred while executing the following cell: ------------------ import matplotlib.pyplot as plt import numpy as np import pandas as pd import pandas_datareader as pdr import seaborn import statsmodels.api as sm from statsmodels.regression.rolling import RollingOLS seaborn.set_style("darkgrid") pd.plotting.register_matplotlib_converters() %matplotlib inline ------------------ --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[1], line 4 2 import numpy as np 3 import pandas as pd ----> 4 import pandas_datareader as pdr 5 import seaborn 7 import statsmodels.api as sm ModuleNotFoundError: No module named 'pandas_datareader' ****************************************************************************** ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/markov_autoregression.ipynb An error occurred while executing the following cell: ------------------ %matplotlib inline from datetime import datetime from io import BytesIO import matplotlib.pyplot as plt import numpy as np import pandas as pd import requests import statsmodels.api as sm # NBER recessions from pandas_datareader.data import DataReader usrec = DataReader( "USREC", "fred", start=datetime(1947, 1, 1), end=datetime(2013, 4, 1) ) ------------------ ----- stderr ----- Matplotlib is building the font cache; this may take a moment. ------------------ --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[1], line 13 10 import statsmodels.api as sm 12 # NBER recessions ---> 13 from pandas_datareader.data import DataReader 15 usrec = DataReader( 16 "USREC", "fred", start=datetime(1947, 1, 1), end=datetime(2013, 4, 1) 17 ) ModuleNotFoundError: No module named 'pandas_datareader' An error occurred while executing the following cell: ------------------ %matplotlib inline from datetime import datetime from io import BytesIO import matplotlib.pyplot as plt import numpy as np import pandas as pd import requests import statsmodels.api as sm # NBER recessions from pandas_datareader.data import DataReader usrec = DataReader( "USREC", "fred", start=datetime(1947, 1, 1), end=datetime(2013, 4, 1) ) ------------------ ----- stderr ----- Matplotlib is building the font cache; this may take a moment. ------------------ --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[1], line 13 10 import statsmodels.api as sm 12 # NBER recessions ---> 13 from pandas_datareader.data import DataReader 15 usrec = DataReader( 16 "USREC", "fred", start=datetime(1947, 1, 1), end=datetime(2013, 4, 1) 17 ) ModuleNotFoundError: No module named 'pandas_datareader' ****************************************************************************** ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_structural_harvey_jaeger.ipynb An error occurred while executing the following cell: ------------------ # Datasets from pandas_datareader.data import DataReader # Get the raw data start = '1948-01' end = '2008-01' us_gnp = DataReader('GNPC96', 'fred', start=start, end=end) us_gnp_deflator = DataReader('GNPDEF', 'fred', start=start, end=end) us_monetary_base = DataReader('AMBSL', 'fred', start=start, end=end).resample('QS').mean() recessions = DataReader('USRECQ', 'fred', start=start, end=end).resample('QS').last().values[:,0] # Construct the dataframe dta = pd.concat(map(np.log, (us_gnp, us_gnp_deflator, us_monetary_base)), axis=1) dta.columns = ['US GNP','US Prices','US monetary base'] dta.index.freq = dta.index.inferred_freq dates = dta.index._mpl_repr() ------------------ --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[2], line 2 1 # Datasets ----> 2 from pandas_datareader.data import DataReader 4 # Get the raw data 5 start = '1948-01' ModuleNotFoundError: No module named 'pandas_datareader' An error occurred while executing the following cell: ------------------ # Datasets from pandas_datareader.data import DataReader # Get the raw data start = '1948-01' end = '2008-01' us_gnp = DataReader('GNPC96', 'fred', start=start, end=end) us_gnp_deflator = DataReader('GNPDEF', 'fred', start=start, end=end) us_monetary_base = DataReader('AMBSL', 'fred', start=start, end=end).resample('QS').mean() recessions = DataReader('USRECQ', 'fred', start=start, end=end).resample('QS').last().values[:,0] # Construct the dataframe dta = pd.concat(map(np.log, (us_gnp, us_gnp_deflator, us_monetary_base)), axis=1) dta.columns = ['US GNP','US Prices','US monetary base'] dta.index.freq = dta.index.inferred_freq dates = dta.index._mpl_repr() ------------------ --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[2], line 2 1 # Datasets ----> 2 from pandas_datareader.data import DataReader 4 # Get the raw data 5 start = '1948-01' ModuleNotFoundError: No module named 'pandas_datareader' ****************************************************************************** ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_local_linear_trend.ipynb An error occurred while executing the following cell: ------------------ from io import BytesIO from zipfile import ZipFile import requests # Download the dataset df = pd.read_table( "https://raw.githubusercontent.com/statsmodels/smdatasets/refs/heads/main/data/statespace-local-linear-trend/NorwayFinland.txt", skiprows=1, header=None, sep=r"\s+", engine="python", names=["date", "nf", "ff"], ) ------------------ --------------------------------------------------------------------------- ConnectionRefusedError Traceback (most recent call last) File /usr/lib/python3.13/urllib/request.py:1319, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args) 1318 try: -> 1319 h.request(req.get_method(), req.selector, req.data, headers, 1320 encode_chunked=req.has_header('Transfer-encoding')) 1321 except OSError as err: # timeout error File /usr/lib/python3.13/http/client.py:1338, in HTTPConnection.request(self, method, url, body, headers, encode_chunked) 1337 """Send a complete request to the server.""" -> 1338 self._send_request(method, url, body, headers, encode_chunked) File /usr/lib/python3.13/http/client.py:1384, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked) 1383 body = _encode(body, 'body') -> 1384 self.endheaders(body, encode_chunked=encode_chunked) File /usr/lib/python3.13/http/client.py:1333, in HTTPConnection.endheaders(self, message_body, encode_chunked) 1332 raise CannotSendHeader() -> 1333 self._send_output(message_body, encode_chunked=encode_chunked) File /usr/lib/python3.13/http/client.py:1093, in HTTPConnection._send_output(self, message_body, encode_chunked) 1092 del self._buffer[:] -> 1093 self.send(msg) 1095 if message_body is not None: 1096 1097 # create a consistent interface to message_body File /usr/lib/python3.13/http/client.py:1037, in HTTPConnection.send(self, data) 1036 if self.auto_open: -> 1037 self.connect() 1038 else: File /usr/lib/python3.13/http/client.py:1472, in HTTPSConnection.connect(self) 1470 "Connect to a host on a given (SSL) port." -> 1472 super().connect() 1474 if self._tunnel_host: File /usr/lib/python3.13/http/client.py:1003, in HTTPConnection.connect(self) 1002 sys.audit("http.client.connect", self, self.host, self.port) -> 1003 self.sock = self._create_connection( 1004 (self.host,self.port), self.timeout, self.source_address) 1005 # Might fail in OSs that don't implement TCP_NODELAY File /usr/lib/python3.13/socket.py:864, in create_connection(address, timeout, source_address, all_errors) 863 if not all_errors: --> 864 raise exceptions[0] 865 raise ExceptionGroup("create_connection failed", exceptions) File /usr/lib/python3.13/socket.py:849, in create_connection(address, timeout, source_address, all_errors) 848 sock.bind(source_address) --> 849 sock.connect(sa) 850 # Break explicitly a reference cycle ConnectionRefusedError: [Errno 111] Connection refused During handling of the above exception, another exception occurred: URLError Traceback (most recent call last) Cell In[3], line 7 4 import requests 6 # Download the dataset ----> 7 df = pd.read_table( 8 "https://raw.githubusercontent.com/statsmodels/smdatasets/refs/heads/main/data/statespace-local-linear-trend/NorwayFinland.txt", 9 skiprows=1, 10 header=None, 11 sep=r"\s+", 12 engine="python", 13 names=["date", "nf", "ff"], 14 ) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1405, in read_table(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend) 1392 kwds_defaults = _refine_defaults_read( 1393 dialect, 1394 delimiter, (...) 1401 dtype_backend=dtype_backend, 1402 ) 1403 kwds.update(kwds_defaults) -> 1405 return _read(filepath_or_buffer, kwds) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:620, in _read(filepath_or_buffer, kwds) 617 _validate_names(kwds.get("names", None)) 619 # Create the parser. --> 620 parser = TextFileReader(filepath_or_buffer, **kwds) 622 if chunksize or iterator: 623 return parser File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1620, in TextFileReader.__init__(self, f, engine, **kwds) 1617 self.options["has_index_names"] = kwds["has_index_names"] 1619 self.handles: IOHandles | None = None -> 1620 self._engine = self._make_engine(f, self.engine) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1880, in TextFileReader._make_engine(self, f, engine) 1878 if "b" not in mode: 1879 mode += "b" -> 1880 self.handles = get_handle( 1881 f, 1882 mode, 1883 encoding=self.options.get("encoding", None), 1884 compression=self.options.get("compression", None), 1885 memory_map=self.options.get("memory_map", False), 1886 is_text=is_text, 1887 errors=self.options.get("encoding_errors", "strict"), 1888 storage_options=self.options.get("storage_options", None), 1889 ) 1890 assert self.handles is not None 1891 f = self.handles.handle File /usr/lib/python3/dist-packages/pandas/io/common.py:728, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options) 725 codecs.lookup_error(errors) 727 # open URLs --> 728 ioargs = _get_filepath_or_buffer( 729 path_or_buf, 730 encoding=encoding, 731 compression=compression, 732 mode=mode, 733 storage_options=storage_options, 734 ) 736 handle = ioargs.filepath_or_buffer 737 handles: list[BaseBuffer] File /usr/lib/python3/dist-packages/pandas/io/common.py:384, in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options) 382 # assuming storage_options is to be interpreted as headers 383 req_info = urllib.request.Request(filepath_or_buffer, headers=storage_options) --> 384 with urlopen(req_info) as req: 385 content_encoding = req.headers.get("Content-Encoding", None) 386 if content_encoding == "gzip": 387 # Override compression based on Content-Encoding header File /usr/lib/python3/dist-packages/pandas/io/common.py:289, in urlopen(*args, **kwargs) 283 """ 284 Lazy-import wrapper for stdlib urlopen, as that imports a big chunk of 285 the stdlib. 286 """ 287 import urllibERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list .request --> 289 return urllib.request.urlopen(*args, **kwargs) File /usr/lib/python3.13/urllib/request.py:189, in urlopen(url, data, timeout, context) 187 else: 188 opener = _opener --> 189 return opener.open(url, data, timeout) File /usr/lib/python3.13/urllib/request.py:489, in OpenerDirector.open(self, fullurl, data, timeout) 486 req = meth(req) 488 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method()) --> 489 response = self._open(req, data) 491 # post-process response 492 meth_name = protocol+"_response" File /usr/lib/python3.13/urllib/request.py:506, in OpenerDirector._open(self, req, data) 503 return result 505 protocol = req.type --> 506 result = self._call_chain(self.handle_open, protocol, protocol + 507 '_open', req) 508 if result: 509 return result File /usr/lib/python3.13/urllib/request.py:466, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args) 464 for handler in handlers: 465 func = getattr(handler, meth_name) --> 466 result = func(*args) 467 if result is not None: 468 return result File /usr/lib/python3.13/urllib/request.py:1367, in HTTPSHandler.https_open(self, req) 1366 def https_open(self, req): -> 1367 return self.do_open(http.client.HTTPSConnection, req, 1368 context=self._context) File /usr/lib/python3.13/urllib/request.py:1322, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args) 1319 h.request(req.get_method(), req.selector, req.data, headers, 1320 encode_chunked=req.has_header('Transfer-encoding')) 1321 except OSError as err: # timeout error -> 1322 raise URLError(err) 1323 r = h.getresponse() 1324 except: URLError: An error occurred while executing the following cell: ------------------ from io import BytesIO from zipfile import ZipFile import requests # Download the dataset df = pd.read_table( "https://raw.githubusercontent.com/statsmodels/smdatasets/refs/heads/main/data/statespace-local-linear-trend/NorwayFinland.txt", skiprows=1, header=None, sep=r"\s+", engine="python", names=["date", "nf", "ff"], ) ------------------ --------------------------------------------------------------------------- ConnectionRefusedError Traceback (most recent call last) File /usr/lib/python3.13/urllib/request.py:1319, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args) 1318 try: -> 1319 h.request(req.get_method(), req.selector, req.data, headers, 1320 encode_chunked=req.has_header('Transfer-encoding')) 1321 except OSError as err: # timeout error File /usr/lib/python3.13/http/client.py:1338, in HTTPConnection.request(self, method, url, body, headers, encode_chunked) 1337 """Send a complete request to the server.""" -> 1338 self._send_request(method, url, body, headers, encode_chunked) File /usr/lib/python3.13/http/client.py:1384, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked) 1383 body = _encode(body, 'body') -> 1384 self.endheaders(body, encode_chunked=encode_chunked) File /usr/lib/python3.13/http/client.py:1333, in HTTPConnection.endheaders(self, message_body, encode_chunked) 1332 raise CannotSendHeader() -> 1333 self._send_output(message_body, encode_chunked=encode_chunked) File /usr/lib/python3.13/http/client.py:1093, in HTTPConnection._send_output(self, message_body, encode_chunked) 1092 del self._buffer[:] -> 1093 self.send(msg) 1095 if message_body is not None: 1096 1097 # create a consistent interface to message_body File /usr/lib/python3.13/http/client.py:1037, in HTTPConnection.send(self, data) 1036 if self.auto_open: -> 1037 self.connect() 1038 else: File /usr/lib/python3.13/http/client.py:1472, in HTTPSConnection.connect(self) 1470 "Connect to a host on a given (SSL) port." -> 1472 super().connect() 1474 if self._tunnel_host: File /usr/lib/python3.13/http/client.py:1003, in HTTPConnection.connect(self) 1002 sys.audit("http.client.connect", self, self.host, self.port) -> 1003 self.sock = self._create_connection( 1004 (self.host,self.port), self.timeout, self.source_address) 1005 # Might fail in OSs that don't implement TCP_NODELAY File /usr/lib/python3.13/socket.py:864, in create_connection(address, timeout, source_address, all_errors) 863 if not all_errors: --> 864 raise exceptions[0] 865 raise ExceptionGroup("create_connection failed", exceptions) File /usr/lib/python3.13/socket.py:849, in create_connection(address, timeout, source_address, all_errors) 848 sock.bind(source_address) --> 849 sock.connect(sa) 850 # Break explicitly a reference cycle ConnectionRefusedError: [Errno 111] Connection refused During handling of the above exception, another exception occurred: URLError Traceback (most recent call last) Cell In[3], line 7 4 import requests 6 # Download the dataset ----> 7 df = pd.read_table( 8 "https://raw.githubusercontent.com/statsmodels/smdatasets/refs/heads/main/data/statespace-local-linear-trend/NorwayFinland.txt", 9 skiprows=1, 10 header=None, 11 sep=r"\s+", 12 engine="python", 13 names=["date", "nf", "ff"], 14 ) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1405, in read_table(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend) 1392 kwds_defaults = _refine_defaults_read( 1393 dialect, 1394 delimiter, (...) 1401 dtype_backend=dtype_backend, 1402 ) 1403 kwds.update(kwds_defaults) -> 1405 return _read(filepath_or_buffer, kwds) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:620, in _read(filepath_or_buffer, kwds) 617 _validate_names(kwds.get("names", None)) 619 # Create the parser. --> 620 parser = TextFileReader(filepath_or_buffer, **kwds) 622 if chunksize or iterator: 623 return parser File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1620, in TextFileReader.__init__(self, f, engine, **kwds) 1617 self.options["has_index_names"] = kwds["has_index_names"] 1619 self.handles: IOHandles | None = None -> 1620 self._engine = self._make_engine(f, self.engine) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1880, in TextFileReader._make_engine(self, f, engine) 1878 if "b" not in mode: 1879 mode += "b" -> 1880 self.handles = get_handle( 1881 f, 1882 mode, 1883 encoding=self.options.get("encoding", None), 1884 compression=self.options.get("compression", None), 1885 memory_map=self.options.get("memory_map", False), 1886 is_text=is_text, 1887 errors=self.options.get("encoding_errors", "strict"), 1888 storage_options=self.options.get("storage_options", None), 1889 ) 1890 assert self.handles is not None 1891 f = self.handles.handle File /usr/lib/python3/dist-packages/pandas/io/common.py:728, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options) 725 codecs.lookup_error(errors) 727 # open URLs --> 728 ioargs = _get_filepath_or_buffer( 729 path_or_buf, 730 encoding=encoding, 731 compression=compression, 732 mode=mode, 733 storage_options=storage_options, 734 ) 736 handle = ioargs.filepath_or_buffer 737 handles: list[BaseBuffer] File /usr/lib/python3/dist-packages/pandas/io/common.py:384, in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options) 382 # assuming storage_options is to be interpreted as headers 383 req_info = urllib.request.Request(filepath_or_buffer, headers=storage_options) --> 384 with urlopen(req_info) as req: 385 content_encoding = req.headers.get("Content-Encoding", None) 386 if content_encoding == "gzip": 387 # Override compression based on Content-Encoding header File /usr/lib/python3/dist-packages/pandas/io/common.py:289, in urlopen(*args, **kwargs) 283 """ 284 Lazy-import wrapper for stdlib urlopen, as that imports a big chunk of 285 the stdlib. 286 """ 287 import urllib.request --> 289 return urllib.request.urlopen(*args, **kwargs) File /usr/lib/python3.13/urllib/request.py:189, in urlopen(url, data, timeout, context) 187 else: 188 opener = _opener --> 189 return opener.open(url, data, timeout) File /usr/lib/python3.13/urllib/request.py:489, in OpenerDirector.open(self, fullurl, data, timeout) 486 req = meth(req) 488 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method()) --> 489 response = self._open(req, data) 491 # post-process response 492 meth_name = protocol+"_response" File /usr/lib/python3.13/urllib/request.py:506, in OpenerDirector._open(self, req, data) 503 return result 505 protocol = req.type --> 506 result = self._call_chain(self.handle_open, protocol, protocol + 507 '_open', req) 508 if result: 509 return result File /usr/lib/python3.13/urllib/request.py:466, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args) 464 for handler in handlers: 465 func = getattr(handler, meth_name) --> 466 result = func(*args) 467 if result is not None: 468 return result File /usr/lib/python3.13/urllib/request.py:1367, in HTTPSHandler.https_open(self, req) 1366 def https_open(self, req): -> 1367 return self.do_open(http.client.HTTPSConnection, req, 1368 context=self._context) File /usr/lib/python3.13/urllib/request.py:1322, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args) 1319 h.request(req.get_method(), req.selector, req.data, headers, 1320 encode_chunked=req.has_header('Transfer-encoding')) 1321 except OSError as err: # timeout error -> 1322 raise URLError(err) 1323 r = h.getresponse() 1324 except: URLError: ****************************************************************************** ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_varmax.ipynb An error occurred while executing the following cell: ------------------ import requests import shutil def download_file(url): local_filename = url.split('/')[-1] with requests.get(url, stream=True) as r: with open(local_filename, 'wb') as f: shutil.copyfileobj(r.raw, f) return local_filename filename = download_file("https://www.stata-press.com/data/r12/lutkepohl2.dta") dta = pd.read_stata(filename) dta.index = dta.qtr dta.index.freq = dta.index.inferred_freq endog = dta.loc['1960-04-01':'1978-10-01', ['dln_inv', 'dln_inc', 'dln_consump']] ------------------ --------------------------------------------------------------------------- ConnectionRefusedError Traceback (most recent call last) File /usr/lib/python3/dist-packages/urllib3/connection.py:198, in HTTPConnection._new_conn(self) 197 try: --> 198 sock = connection.create_connection( 199 (self._dns_host, self.port), 200 self.timeout, 201 source_address=self.source_address, 202 socket_options=self.socket_options, 203 ) 204 except socket.gaierror as e: File /usr/lib/python3/dist-packages/urllib3/util/connection.py:85, in create_connection(address, timeout, source_address, socket_options) 84 try: ---> 85 raise err 86 finally: 87 # Break explicitly a reference cycle File /usr/lib/python3/dist-packages/urllib3/util/connection.py:73, in create_connection(address, timeout, source_address, socket_options) 72 sock.bind(source_address) ---> 73 sock.connect(sa) 74 # Break explicitly a reference cycle ConnectionRefusedError: [Errno 111] Connection refused The above exception was the direct cause of the following exception: NewConnectionError Traceback (most recent call last) File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:773, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw) 772 try: --> 773 self._prepare_proxy(conn) 774 except (BaseSSLError, OSError, SocketTimeout) as e: File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:1042, in HTTPSConnectionPool._prepare_proxy(self, conn) 1036 conn.set_tunnel( 1037 scheme=tunnel_scheme, 1038 host=self._tunnel_host, 1039 port=self.port, 1040 headers=self.proxy_headers, 1041 ) -> 1042 conn.connect() File /usr/lib/python3/dist-packages/urllib3/connection.py:753, in HTTPSConnection.connect(self) 752 sock: socket.socket | ssl.SSLSocket --> 753 self.sock = sock = self._new_conn() 754 server_hostname: str = self.host File /usr/lib/python3/dist-packages/urllib3/connection.py:213, in HTTPConnection._new_conn(self) 212 except OSError as e: --> 213 raise NewConnectionError( 214 self, f"Failed to establish a new connection: {e}" 215 ) from e 217 sys.audit("http.client.connect", self, self.host, self.port) NewConnectionError: : Failed to establish a new connection: [Errno 111] Connection refused The above exception was the direct cause of the following exception: ProxyError Traceback (most recent call last) ProxyError: ('Unable to connect to proxy', NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused')) The above exception was the direct cause of the following exception: MaxRetryError Traceback (most recent call last) File /usr/lib/python3/dist-packages/requests/adapters.py:667, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies) 666 try: --> 667 resp = conn.urlopen( 668 method=request.method, 669 url=url, 670 body=request.body, 671 headers=request.headers, 672 redirect=False, 673 assert_same_host=False, 674 preload_content=False, 675 decode_content=False, 676 retries=self.max_retries, 677 timeout=timeout, 678 chunked=chunked, 679 ) 681 except (ProtocolError, OSError) as err: File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:841, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw) 839 new_e = ProtocolError("Connection aborted.", new_e) --> 841 retries = retries.increment( 842 method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2] 843 ) 844 retries.sleep() File /usr/lib/python3/dist-packages/urllib3/util/retry.py:519, in Retry.increment(self, method, url, response, error, _pool, _stacktrace) 518 reason = error or ResponseError(cause) --> 519 raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type] 521 log.debug("Incremented Retry for (url='%s'): %r", url, new_retry) MaxRetryError: HTTPSConnectionPool(host='www.stata-press.com', port=443): Max retries exceeded with url: /data/r12/lutkepohl2.dta (Caused by ProxyError('Unable to connect to proxy', NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused'))) During handling of the above exception, another exception occurred: ProxyError Traceback (most recent call last) Cell In[3], line 12 8 shutil.copyfileobj(r.raw, f) 10 return local_filename ---> 12 filename = download_file("https://www.stata-press.com/data/r12/lutkepohl2.dta") 14 dta = pd.read_stata(filename) 15 dta.index = dta.qtr Cell In[3], line 6, in download_file(url) 4 def download_file(url): 5 local_filename = url.split('/')[-1] ----> 6 with requests.get(url, stream=True) as r: 7 with open(local_filename, 'wb') as f: 8 shutil.copyfileobj(r.raw, f) File /usr/lib/python3/dist-packages/requests/api.py:73, in get(url, params, **kwargs) 62 def get(url, params=None, **kwargs): 63 r"""Sends a GET request. 64 65 :param url: URL for the new :class:`Request` object. (...) 70 :rtype: requests.Response 71 """ ---> 73 return request("get", url, params=params, **kwargs) File /usr/lib/python3/dist-packages/requests/api.py:59, in request(method, url, **kwargs) 55 # By using the 'with' statement we are sure the session is closed, thus we 56 # avoid leaving sockets open which can trigger a ResourceWarning in some 57 # cases, and look like a memory leak in others. 58 with sessions.Session() as session: ---> 59 return session.request(method=method, url=url, **kwargs) File /usr/lib/python3/dist-packages/requests/sessions.py:589, in Session.request(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json) 584 send_kwargs = { 585 "timeout": timeout, 586 "allow_redirects": allow_redirects, 587 } 588 send_kwargs.update(settings) --> 589 resp = self.send(prep, **send_kwargs) 591 return resp File /usr/lib/python3/dist-packages/requests/sessions.py:703, in Session.send(self, request, **kwargs) 700 start = preferred_clock() 702 # Send the request --> 703 r = adapter.send(request, **kwargs) 705 # Total elapsed time of the request (approximately) 706 elapsed = preferred_clock() - start File /usr/lib/python3/dist-packages/requests/adapters.py:694, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies) 691 raise RetryError(e, request=request) 693 if isinstance(e.reason, _ProxyError): --> 694 raise ProxyError(e, request=request) 696 if isinstance(e.reason, _SSLError): 697 # This branch is for urllib3 v1.22 and later. 698 raise SSLError(e, request=request) ProxyError: HTTPSConnectionPool(host='www.stata-press.com', port=443): Max retries exceeded with url: /data/r12/lutkepohl2.dta (Caused by ProxyError('Unable to connect to proxy', NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused'))) An error occurred while executing the following cell: ------------------ import requests import shutil def download_file(url): local_filename = url.split('/')[-1] with requests.get(url, stream=True) as r: with open(local_filename, 'wb') as f: shutil.copyfileobj(r.raw, f) return local_filename filename = download_file("https://www.stata-press.com/data/r12/lutkepohl2.dta") dta = pd.read_stata(filename) dta.index = dta.qtr dta.index.freq = dta.index.inferred_freq endog = dta.loc['1960-04-01':'1978-10-01', ['dln_inv', 'dln_inc', 'dln_consump']] ------------------ --------------------------------------------------------------------------- ConnectionRefusedError Traceback (most recent call last) File /usr/lib/python3/dist-packages/urllib3/connection.py:198, in HTTPConnection._new_conn(self) 197 try: --> 198 sock = connection.create_connection( 199 (self._dns_host, self.port), 200 self.timeout, 201 source_address=self.source_address, 202 socket_options=self.socket_options, 203 ) 204 except socket.gaierror as e: File /usr/lib/python3/dist-packages/urllib3/util/connection.py:85, in create_connection(address, timeout, source_address, socket_options) 84 try: ---> 85 raise err 86 finally: 87 # Break explicitly a reference cycle File /usr/lib/python3/dist-packages/urllib3/util/connection.py:73, in create_connection(address, timeout, source_address, socket_options) 72 sock.bind(source_address) ---> 73 sock.connect(sa) 74 # Break explicitly a reference cycle ConnectionRefusedError: [Errno 111] Connection refused The above exception was the direct cause of the following exception: NewConnectionError Traceback (most recent call last) File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:773, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw) 772 try: --> 773 self._prepare_proxy(conn) 774 except (BaseSSLError, OSError, SocketTimeout) as e: File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:1042, in HTTPSConnectionPool._prepare_proxy(self, conn) 1036 conn.set_tunnel( 1037 scheme=tunnel_scheme, 1038 host=self._tunnel_host, 1039 port=self.port, 1040 headers=self.proxy_headers, 1041 ) -> 1042 conn.connect() File /usr/lib/python3/dist-packages/urllib3/connection.py:753, in HTTPSConnection.connect(self) 752 sock: socket.socket | ssl.SSLSocket --> 753 self.sock = sock = self._new_conn() 754 server_hostname: str = self.host File /usr/lib/python3/dist-packages/urllib3/connection.py:213, in HTTPConnection._new_conn(self) 212 except OSError as e: --> 213 raise NewConnectionError( 214 self, f"Failed to establish a new connection: {e}" 215 ) from e 217 sys.audit("http.client.connect", self, self.host, self.port) NewConnectionError: : Failed to establish a new connection: [Errno 111] Connection refused The above exception was the direct cause of the following exception: ProxyError Traceback (most recent call last) ProxyError: ('Unable to connect to proxy', NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused')) The above exception was the direct cause of the following exception: MaxRetryError Traceback (most recent call last) File /usr/lib/python3/dist-packages/requests/adapters.py:667, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies) 666 try: --> 667 resp = conn.urlopen( 668 method=request.method, 669 url=url, 670 body=request.body, 671 headers=request.headers, 672 redirect=False, 673 assert_same_host=False, 674 preload_content=False, 675 decode_content=False, 676 retries=self.max_retries, 677 timeout=timeout, 678 chunked=chunked, 679 ) 681 except (ProtocolError, OSError) as err: File /usr/lib/python3/dist-packages/urllib3/connectionpool.py:841, in HTTPConnectionPool.urlopen(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, preload_content, decode_content, **response_kw) 839 new_e = ProtocolError("Connection aborted.", new_e) --> 841 retries = retries.increment( 842 method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2] 843 ) 844 retries.sleep() File /usr/lib/python3/dist-packages/urllib3/util/retry.py:519, in Retry.increment(self, method, url, response, error, _pool, _stacktrace) 518 reason = error or ResponseError(cause) --> 519 raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type] 521 log.debug("Incremented Retry for (url='%s'): %r", url, new_retry) MaxRetryError: HTTPSConnectionPool(host='www.stata-press.com', port=443): Max retries exceeded with url: /data/r12/lutkepohl2.dta (Caused by ProxyError('Unable to connect to proxy', NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused'))) During handling of the above exception, another exception occurred: ProxyError Traceback (most recent call last) Cell In[3], line 12 8 shutil.copyfileobj(r.raw, f) 10 return local_filename ---> 12 filename = download_file("https://www.stata-press.com/data/r12/lutkepohl2.dta") 14 dta = pd.read_stata(filename) 15 dta.index = dta.qtr Cell In[3], line 6, in download_file(url) 4 def download_file(url): 5 local_filename = url.split('/')[-1] ----> 6 with requests.get(url, stream=True) as r: 7 with open(local_filename, 'wb') as f: 8 shutil.copyfileobj(r.raw, f) File /usr/lib/python3/dist-packages/requests/api.py:73, in get(url, params, **kwargs) 62 def get(url, params=None, **kwargs): 63 r"""Sends a GET request. 64 65 :param url: URL for the new :class:`Request` object. (...) 70 :rtype: requests.Response 71 """ ---> 73 return request("get", url, params=params, **kwargs) File /usr/lib/python3/dist-packages/requests/api.py:59, in request(method, url, **kwargs) 55 # By using the 'with' statement we are sure the session is closed, thus we 56 # avoid leaving sockets open which can trigger a ResourceWarning in some 57 # cases, and look like a memory leak in others. 58 with sessions.Session() as session: ---> 59 return session.request(method=method, url=url, **kwargs) File /usr/lib/python3/dist-packages/requests/sessions.py:589, in Session.request(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json) 584 send_kwargs = { 585 "timeout": timeout, 586 "allow_redirects": allow_redirects, 587 } 588 send_kwargs.update(settings) --> 589 resp = self.send(prep, **send_kwargs) 591 return resp File /usr/lib/python3/dist-packages/requests/sessions.py:703, in Session.send(self, request, **kwargs) 700 start = preferred_clock() 702 # Send the request --> 703 r = adapter.send(request, **kwargs) 705 # Total elapsed time of the request (approximately) 706 elapsed = preferred_clock() - start File /usr/lib/python3/dist-packages/requests/adapters.py:694, in HTTPAdapter.send(self, request, stream, timeout, verify, cert, proxies) 691 raise RetryError(e, request=request) 693 if isinstance(e.reason, _ProxyError): --> 694 raise ProxyError(e, request=request) 696 if isinstance(e.reason, _SSLError): 697 # This branch is for urllib3 v1.22 and later. 698 raise SSLError(e, request=request) ProxyError: HTTPSConnectionPool(host='www.stata-press.com', port=443): Max retries exceeded with url: /data/r12/lutkepohl2.dta (Caused by ProxyError('Unable to connect to proxy', NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused'))) ****************************************************************************** Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_varmax.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_fixed_params.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/chi2_fitting.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/treatment_effect.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/regression_plots.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/ordinal_regression.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/autoregressions.ipynb ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/metaanalysis1.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/tsa_arma_1.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/glm.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/stl_decomposition.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/glm_weights.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/regression_diagnostics.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/contrasts.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_dfm_coincident.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_concentrated_scale.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/markov_autoregression.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/exponential_smoothing.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_seasonal.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/quasibinomial.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/mediation_survival.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_chandrasekhar.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/distributed_estimation.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_news.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_sarimax_stata.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/stats_poisson.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/theta-model.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/recursive_ls.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/deterministics.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/generic_mle.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/stats_rankcompare.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/plots_boxplots.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/quantile_regression.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_cycles.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/postestimation_poisson.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/linear_regression_diagnostics_plots.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/wls.ipynb ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/ets.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/tsa_arma_0.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_sarimax_pymc3.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/predict.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_forecasting.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/rolling_ls.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/gee_score_test_simulation.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_local_linear_trend.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/copula.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_arma_0.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/stationarity_detrending_adf_kpss.ipynb ERROR:tornado.general:Uncaught exception in ZMQStream callback Traceback (most recent call last): File "/usr/lib/python3/dist-packages/zmq/eventloop/zmqstream.py", line 565, in _log_error f.result() ~~~~~~~~^^ File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 302, in dispatch_control await self.process_control(msg) File "/usr/lib/python3/dist-packages/ipykernel/kernelbase.py", line 308, in process_control idents, msg = self.session.feed_identities(msg, copy=False) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/jupyter_client/session.py", line 994, in feed_identities raise ValueError(msg) ValueError: DELIM not in msg_list ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/mstl_decomposition.ipynb An error occurred while executing the following cell: ------------------ url = "https://raw.githubusercontent.com/tidyverts/tsibbledata/master/data-raw/vic_elec/VIC2015/demand.csv" df = pd.read_csv(url) ------------------ --------------------------------------------------------------------------- ConnectionRefusedError Traceback (most recent call last) File /usr/lib/python3.13/urllib/request.py:1319, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args) 1318 try: -> 1319 h.request(req.get_method(), req.selector, req.data, headers, 1320 encode_chunked=req.has_header('Transfer-encoding')) 1321 except OSError as err: # timeout error File /usr/lib/python3.13/http/client.py:1338, in HTTPConnection.request(self, method, url, body, headers, encode_chunked) 1337 """Send a complete request to the server.""" -> 1338 self._send_request(method, url, body, headers, encode_chunked) File /usr/lib/python3.13/http/client.py:1384, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked) 1383 body = _encode(body, 'body') -> 1384 self.endheaders(body, encode_chunked=encode_chunked) File /usr/lib/python3.13/http/client.py:1333, in HTTPConnection.endheaders(self, message_body, encode_chunked) 1332 raise CannotSendHeader() -> 1333 self._send_output(message_body, encode_chunked=encode_chunked) File /usr/lib/python3.13/http/client.py:1093, in HTTPConnection._send_output(self, message_body, encode_chunked) 1092 del self._buffer[:] -> 1093 self.send(msg) 1095 if message_body is not None: 1096 1097 # create a consistent interface to message_body File /usr/lib/python3.13/http/client.py:1037, in HTTPConnection.send(self, data) 1036 if self.auto_open: -> 1037 self.connect() 1038 else: File /usr/lib/python3.13/http/client.py:1472, in HTTPSConnection.connect(self) 1470 "Connect to a host on a given (SSL) port." -> 1472 super().connect() 1474 if self._tunnel_host: File /usr/lib/python3.13/http/client.py:1003, in HTTPConnection.connect(self) 1002 sys.audit("http.client.connect", self, self.host, self.port) -> 1003 self.sock = self._create_connection( 1004 (self.host,self.port), self.timeout, self.source_address) 1005 # Might fail in OSs that don't implement TCP_NODELAY File /usr/lib/python3.13/socket.py:864, in create_connection(address, timeout, source_address, all_errors) 863 if not all_errors: --> 864 raise exceptions[0] 865 raise ExceptionGroup("create_connection failed", exceptions) File /usr/lib/python3.13/socket.py:849, in create_connection(address, timeout, source_address, all_errors) 848 sock.bind(source_address) --> 849 sock.connect(sa) 850 # Break explicitly a reference cycle ConnectionRefusedError: [Errno 111] Connection refused During handling of the above exception, another exception occurred: URLError Traceback (most recent call last) Cell In[10], line 2 1 url = "https://raw.githubusercontent.com/tidyverts/tsibbledata/master/data-raw/vic_elec/VIC2015/demand.csv" ----> 2 df = pd.read_csv(url) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1026, in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend) 1013 kwds_defaults = _refine_defaults_read( 1014 dialect, 1015 delimiter, (...) 1022 dtype_backend=dtype_backend, 1023 ) 1024 kwds.update(kwds_defaults) -> 1026 return _read(filepath_or_buffer, kwds) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:620, in _read(filepath_or_buffer, kwds) 617 _validate_names(kwds.get("names", None)) 619 # Create the parser. --> 620 parser = TextFileReader(filepath_or_buffer, **kwds) 622 if chunksize or iterator: 623 return parser File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1620, in TextFileReader.__init__(self, f, engine, **kwds) 1617 self.options["has_index_names"] = kwds["has_index_names"] 1619 self.handles: IOHandles | None = None -> 1620 self._engine = self._make_engine(f, self.engine) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1880, in TextFileReader._make_engine(self, f, engine) 1878 if "b" not in mode: 1879 mode += "b" -> 1880 self.handles = get_handle( 1881 f, 1882 mode, 1883 encoding=self.options.get("encoding", None), 1884 compression=self.options.get("compression", None), 1885 memory_map=self.options.get("memory_map", False), 1886 is_text=is_text, 1887 errors=self.options.get("encoding_errors", "strict"), 1888 storage_options=self.options.get("storage_options", None), 1889 ) 1890 assert self.handles is not None 1891 f = self.handles.handle File /usr/lib/python3/dist-packages/pandas/io/common.py:728, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options) 725 codecs.lookup_error(errors) 727 # open URLs --> 728 ioargs = _get_filepath_or_buffer( 729 path_or_buf, 730 encoding=encoding, 731 compression=compression, 732 mode=mode, 733 storage_options=storage_options, 734 ) 736 handle = ioargs.filepath_or_buffer 737 handles: list[BaseBuffer] File /usr/lib/python3/dist-packages/pandas/io/common.py:384, in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options) 382 # assuming storage_options is to be interpreted as headers 383 req_info = urllib.request.Request(filepath_or_buffer, headers=storage_options) --> 384 with urlopen(req_info) as req: 385 content_encoding = req.headers.get("Content-Encoding", None) 386 if content_encoding == "gzip": 387 # Override compression based on Content-Encoding header File /usr/lib/python3/dist-packages/pandas/io/common.py:289, in urlopen(*args, **kwargs) 283 """ 284 Lazy-import wrapper for stdlib urlopen, as that imports a big chunk of 285 the stdlib. 286 """ 287 import urllib.request --> 289 return urllib.request.urlopen(*args, **kwargs) File /usr/lib/python3.13/urllib/request.py:189, in urlopen(url, data, timeout, context) 187 else: 188 opener = _opener --> 189 return opener.open(url, data, timeout) File /usr/lib/python3.13/urllib/request.py:489, in OpenerDirector.open(self, fullurl, data, timeout) 486 req = meth(req) 488 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method()) --> 489 response = self._open(req, data) 491 # post-process response 492 meth_name = protocol+"_response" File /usr/lib/python3.13/urllib/request.py:506, in OpenerDirector._open(self, req, data) 503 return result 505 protocol = req.type --> 506 result = self._call_chain(self.handle_open, protocol, protocol + 507 '_open', req) 508 if result: 509 return result File /usr/lib/python3.13/urllib/request.py:466, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args) 464 for handler in handlers: 465 func = getattr(handler, meth_name) --> 466 result = func(*args) 467 if result is not None: 468 return result File /usr/lib/python3.13/urllib/request.py:1367, in HTTPSHandler.https_open(self, req) 1366 def https_open(self, req): -> 1367 return self.do_open(http.client.HTTPSConnection, req, 1368 context=self._context) File /usr/lib/python3.13/urllib/request.py:1322, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args) 1319 h.request(req.get_method(), req.selector, req.data, headers, 1320 encode_chunked=req.has_header('Transfer-encoding')) 1321 except OSError as err: # timeout error -> 1322 raise URLError(err) 1323 r = h.getresponse() 1324 except: URLError: An error occurred while executing the following cell: ------------------ url = "https://raw.githubusercontent.com/tidyverts/tsibbledata/master/data-raw/vic_elec/VIC2015/demand.csv" df = pd.read_csv(url) ------------------ --------------------------------------------------------------------------- ConnectionRefusedError Traceback (most recent call last) File /usr/lib/python3.13/urllib/request.py:1319, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args) 1318 try: -> 1319 h.request(req.get_method(), req.selector, req.data, headers, 1320 encode_chunked=req.has_header('Transfer-encoding')) 1321 except OSError as err: # timeout error File /usr/lib/python3.13/http/client.py:1338, in HTTPConnection.request(self, method, url, body, headers, encode_chunked) 1337 """Send a complete request to the server.""" -> 1338 self._send_request(method, url, body, headers, encode_chunked) File /usr/lib/python3.13/http/client.py:1384, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked) 1383 body = _encode(body, 'body') -> 1384 self.endheaders(body, encode_chunked=encode_chunked) File /usr/lib/python3.13/http/client.py:1333, in HTTPConnection.endheaders(self, message_body, encode_chunked) 1332 raise CannotSendHeader() -> 1333 self._send_output(message_body, encode_chunked=encode_chunked) File /usr/lib/python3.13/http/client.py:1093, in HTTPConnection._send_output(self, message_body, encode_chunked) 1092 del self._buffer[:] -> 1093 self.send(msg) 1095 if message_body is not None: 1096 1097 # create a consistent interface to message_body File /usr/lib/python3.13/http/client.py:1037, in HTTPConnection.send(self, data) 1036 if self.auto_open: -> 1037 self.connect() 1038 else: File /usr/lib/python3.13/http/client.py:1472, in HTTPSConnection.connect(self) 1470 "Connect to a host on a given (SSL) port." -> 1472 super().connect() 1474 if self._tunnel_host: File /usr/lib/python3.13/http/client.py:1003, in HTTPConnection.connect(self) 1002 sys.audit("http.client.connect", self, self.host, self.port) -> 1003 self.sock = self._create_connection( 1004 (self.host,self.port), self.timeout, self.source_address) 1005 # Might fail in OSs that don't implement TCP_NODELAY File /usr/lib/python3.13/socket.py:864, in create_connection(address, timeout, source_address, all_errors) 863 if not all_errors: --> 864 raise exceptions[0] 865 raise ExceptionGroup("create_connection failed", exceptions) File /usr/lib/python3.13/socket.py:849, in create_connection(address, timeout, source_address, all_errors) 848 sock.bind(source_address) --> 849 sock.connect(sa) 850 # Break explicitly a reference cycle ConnectionRefusedError: [Errno 111] Connection refused During handling of the above exception, another exception occurred: URLError Traceback (most recent call last) Cell In[10], line 2 1 url = "https://raw.githubusercontent.com/tidyverts/tsibbledata/master/data-raw/vic_elec/VIC2015/demand.csv" ----> 2 df = pd.read_csv(url) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1026, in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend) 1013 kwds_defaults = _refine_defaults_read( 1014 dialect, 1015 delimiter, (...) 1022 dtype_backend=dtype_backend, 1023 ) 1024 kwds.update(kwds_defaults) -> 1026 return _read(filepath_or_buffer, kwds) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:620, in _read(filepath_or_buffer, kwds) 617 _validate_names(kwds.get("names", None)) 619 # Create the parser. --> 620 parser = TextFileReader(filepath_or_buffer, **kwds) 622 if chunksize or iterator: 623 return parser File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1620, in TextFileReader.__init__(self, f, engine, **kwds) 1617 self.options["has_index_names"] = kwds["has_index_names"] 1619 self.handles: IOHandles | None = None -> 1620 self._engine = self._make_engine(f, self.engine) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1880, in TextFileReader._make_engine(self, f, engine) 1878 if "b" not in mode: 1879 mode += "b" -> 1880 self.handles = get_handle( 1881 f, 1882 mode, 1883 encoding=self.options.get("encoding", None), 1884 compression=self.options.get("compression", None), 1885 memory_map=self.options.get("memory_map", False), 1886 is_text=is_text, 1887 errors=self.options.get("encoding_errors", "strict"), 1888 storage_options=self.options.get("storage_options", None), 1889 ) 1890 assert self.handles is not None 1891 f = self.handles.handle File /usr/lib/python3/dist-packages/pandas/io/common.py:728, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options) 725 codecs.lookup_error(errors) 727 # open URLs --> 728 ioargs = _get_filepath_or_buffer( 729 path_or_buf, 730 encoding=encoding, 731 compression=compression, 732 mode=mode, 733 storage_options=storage_options, 734 ) 736 handle = ioargs.filepath_or_buffer 737 handles: list[BaseBuffer] File /usr/lib/python3/dist-packages/pandas/io/common.py:384, in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options) 382 # assuming storage_options is to be interpreted as headers 383 req_info = urllib.request.Request(filepath_or_buffer, headers=storage_options) --> 384 with urlopen(req_info) as req: 385 content_encoding = req.headers.get("Content-Encoding", None) 386 if content_encoding == "gzip": 387 # Override compression based on Content-Encoding header File /usr/lib/python3/dist-packages/pandas/io/common.py:289, in urlopen(*args, **kwargs) 283 """ 284 Lazy-import wrapper for stdlib urlopen, as that imports a big chunk of 285 the stdlib. 286 """ 287 import urllib.request --> 289 return urllib.request.urlopen(*args, **kwargs) File /usr/lib/python3.13/urllib/request.py:189, in urlopen(url, data, timeout, context) 187 else: 188 opener = _opener --> 189 return opener.open(url, data, timeout) File /usr/lib/python3.13/urllib/request.py:489, in OpenerDirector.open(self, fullurl, data, timeout) 486 req = meth(req) 488 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method()) --> 489 response = self._open(req, data) 491 # post-process response 492 meth_name = protocol+"_response" File /usr/lib/python3.13/urllib/request.py:506, in OpenerDirector._open(self, req, data) 503 return result 505 protocol = req.type --> 506 result = self._call_chain(self.handle_open, protocol, protocol + 507 '_open', req) 508 if result: 509 return result File /usr/lib/python3.13/urllib/request.py:466, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args) 464 for handler in handlers: 465 func = getattr(handler, meth_name) --> 466 result = func(*args) 467 if result is not None: 468 return result File /usr/lib/python3.13/urllib/request.py:1367, in HTTPSHandler.https_open(self, req) 1366 def https_open(self, req): -> 1367 return self.do_open(http.client.HTTPSConnection, req, 1368 context=self._context) File /usr/lib/python3.13/urllib/request.py:1322, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args) 1319 h.request(req.get_method(), req.selector, req.data, headers, 1320 encode_chunked=req.has_header('Transfer-encoding')) 1321 except OSError as err: # timeout error -> 1322 raise URLError(err) 1323 r = h.getresponse() 1324 except: URLError: ****************************************************************************** ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/autoregressive_distributed_lag.ipynb An error occurred while executing the following cell: ------------------ greene = pd.read_fwf("http://www.stern.nyu.edu/~wgreene/Text/Edition7/TableF5-2.txt") greene.head() ------------------ --------------------------------------------------------------------------- ConnectionRefusedError Traceback (most recent call last) File /usr/lib/python3.13/urllib/request.py:1319, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args) 1318 try: -> 1319 h.request(req.get_method(), req.selector, req.data, headers, 1320 encode_chunked=req.has_header('Transfer-encoding')) 1321 except OSError as err: # timeout error File /usr/lib/python3.13/http/client.py:1338, in HTTPConnection.request(self, method, url, body, headers, encode_chunked) 1337 """Send a complete request to the server.""" -> 1338 self._send_request(method, url, body, headers, encode_chunked) File /usr/lib/python3.13/http/client.py:1384, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked) 1383 body = _encode(body, 'body') -> 1384 self.endheaders(body, encode_chunked=encode_chunked) File /usr/lib/python3.13/http/client.py:1333, in HTTPConnection.endheaders(self, message_body, encode_chunked) 1332 raise CannotSendHeader() -> 1333 self._send_output(message_body, encode_chunked=encode_chunked) File /usr/lib/python3.13/http/client.py:1093, in HTTPConnection._send_output(self, message_body, encode_chunked) 1092 del self._buffer[:] -> 1093 self.send(msg) 1095 if message_body is not None: 1096 1097 # create a consistent interface to message_body File /usr/lib/python3.13/http/client.py:1037, in HTTPConnection.send(self, data) 1036 if self.auto_open: -> 1037 self.connect() 1038 else: File /usr/lib/python3.13/http/client.py:1003, in HTTPConnection.connect(self) 1002 sys.audit("http.client.connect", self, self.host, self.port) -> 1003 self.sock = self._create_connection( 1004 (self.host,self.port), self.timeout, self.source_address) 1005 # Might fail in OSs that don't implement TCP_NODELAY File /usr/lib/python3.13/socket.py:864, in create_connection(address, timeout, source_address, all_errors) 863 if not all_errors: --> 864 raise exceptions[0] 865 raise ExceptionGroup("create_connection failed", exceptions) File /usr/lib/python3.13/socket.py:849, in create_connection(address, timeout, source_address, all_errors) 848 sock.bind(source_address) --> 849 sock.connect(sa) 850 # Break explicitly a reference cycle ConnectionRefusedError: [Errno 111] Connection refused During handling of the above exception, another exception occurred: URLError Traceback (most recent call last) Cell In[19], line 1 ----> 1 greene = pd.read_fwf("http://www.stern.nyu.edu/~wgreene/Text/Edition7/TableF5-2.txt") 2 greene.head() File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1565, in read_fwf(filepath_or_buffer, colspecs, widths, infer_nrows, dtype_backend, iterator, chunksize, **kwds) 1563 check_dtype_backend(dtype_backend) 1564 kwds["dtype_backend"] = dtype_backend -> 1565 return _read(filepath_or_buffer, kwds) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:620, in _read(filepath_or_buffer, kwds) 617 _validate_names(kwds.get("names", None)) 619 # Create the parser. --> 620 parser = TextFileReader(filepath_or_buffer, **kwds) 622 if chunksize or iterator: 623 return parser File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1620, in TextFileReader.__init__(self, f, engine, **kwds) 1617 self.options["has_index_names"] = kwds["has_index_names"] 1619 self.handles: IOHandles | None = None -> 1620 self._engine = self._make_engine(f, self.engine) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1880, in TextFileReader._make_engine(self, f, engine) 1878 if "b" not in mode: 1879 mode += "b" -> 1880 self.handles = get_handle( 1881 f, 1882 mode, 1883 encoding=self.options.get("encoding", None), 1884 compression=self.options.get("compression", None), 1885 memory_map=self.options.get("memory_map", False), 1886 is_text=is_text, 1887 errors=self.options.get("encoding_errors", "strict"), 1888 storage_options=self.options.get("storage_options", None), 1889 ) 1890 assert self.handles is not None 1891 f = self.handles.handle File /usr/lib/python3/dist-packages/pandas/io/common.py:728, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options) 725 codecs.lookup_error(errors) 727 # open URLs --> 728 ioargs = _get_filepath_or_buffer( 729 path_or_buf, 730 encoding=encoding, 731 compression=compression, 732 mode=mode, 733 storage_options=storage_options, 734 ) 736 handle = ioargs.filepath_or_buffer 737 handles: list[BaseBuffer] File /usr/lib/python3/dist-packages/pandas/io/common.py:384, in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options) 382 # assuming storage_options is to be interpreted as headers 383 req_info = urllib.request.Request(filepath_or_buffer, headers=storage_options) --> 384 with urlopen(req_info) as req: 385 content_encoding = req.headers.get("Content-Encoding", None) 386 if content_encoding == "gzip": 387 # Override compression based on Content-Encoding header File /usr/lib/python3/dist-packages/pandas/io/common.py:289, in urlopen(*args, **kwargs) 283 """ 284 Lazy-import wrapper for stdlib urlopen, as that imports a big chunk of 285 the stdlib. 286 """ 287 import urllib.request --> 289 return urllib.request.urlopen(*args, **kwargs) File /usr/lib/python3.13/urllib/request.py:189, in urlopen(url, data, timeout, context) 187 else: 188 opener = _opener --> 189 return opener.open(url, data, timeout) File /usr/lib/python3.13/urllib/request.py:489, in OpenerDirector.open(self, fullurl, data, timeout) 486 req = meth(req) 488 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method()) --> 489 response = self._open(req, data) 491 # post-process response 492 meth_name = protocol+"_response" File /usr/lib/python3.13/urllib/request.py:506, in OpenerDirector._open(self, req, data) 503 return result 505 protocol = req.type --> 506 result = self._call_chain(self.handle_open, protocol, protocol + 507 '_open', req) 508 if result: 509 return result File /usr/lib/python3.13/urllib/request.py:466, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args) 464 for handler in handlers: 465 func = getattr(handler, meth_name) --> 466 result = func(*args) 467 if result is not None: 468 return result File /usr/lib/python3.13/urllib/request.py:1348, in HTTPHandler.http_open(self, req) 1347 def http_open(self, req): -> 1348 return self.do_open(http.client.HTTPConnection, req) File /usr/lib/python3.13/urllib/request.py:1322, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args) 1319 h.request(req.get_method(), req.selector, req.data, headers, 1320 encode_chunked=req.has_header('Transfer-encoding')) 1321 except OSError as err: # timeout error -> 1322 raise URLError(err) 1323 r = h.getresponse() 1324 except: URLError: An error occurred while executing the following cell: ------------------ greene = pd.read_fwf("http://www.stern.nyu.edu/~wgreene/Text/Edition7/TableF5-2.txt") greene.head() ------------------ --------------------------------------------------------------------------- ConnectionRefusedError Traceback (most recent call last) File /usr/lib/python3.13/urllib/request.py:1319, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args) 1318 try: -> 1319 h.request(req.get_method(), req.selector, req.data, headers, 1320 encode_chunked=req.has_header('Transfer-encoding')) 1321 except OSError as err: # timeout error File /usr/lib/python3.13/http/client.py:1338, in HTTPConnection.request(self, method, url, body, headers, encode_chunked) 1337 """Send a complete request to the server.""" -> 1338 self._send_request(method, url, body, headers, encode_chunked) File /usr/lib/python3.13/http/client.py:1384, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked) 1383 body = _encode(body, 'body') -> 1384 self.endheaders(body, encode_chunked=encode_chunked) File /usr/lib/python3.13/http/client.py:1333, in HTTPConnection.endheaders(self, message_body, encode_chunked) 1332 raise CannotSendHeader() -> 1333 self._send_output(message_body, encode_chunked=encode_chunked) File /usr/lib/python3.13/http/client.py:1093, in HTTPConnection._send_output(self, message_body, encode_chunked) 1092 del self._buffer[:] -> 1093 self.send(msg) 1095 if message_body is not None: 1096 1097 # create a consistent interface to message_body File /usr/lib/python3.13/http/client.py:1037, in HTTPConnection.send(self, data) 1036 if self.auto_open: -> 1037 self.connect() 1038 else: File /usr/lib/python3.13/http/client.py:1003, in HTTPConnection.connect(self) 1002 sys.audit("http.client.connect", self, self.host, self.port) -> 1003 self.sock = self._create_connection( 1004 (self.host,self.port), self.timeout, self.source_address) 1005 # Might fail in OSs that don't implement TCP_NODELAY File /usr/lib/python3.13/socket.py:864, in create_connection(address, timeout, source_address, all_errors) 863 if not all_errors: --> 864 raise exceptions[0] 865 raise ExceptionGroup("create_connection failed", exceptions) File /usr/lib/python3.13/socket.py:849, in create_connection(address, timeout, source_address, all_errors) 848 sock.bind(source_address) --> 849 sock.connect(sa) 850 # Break explicitly a reference cycle ConnectionRefusedError: [Errno 111] Connection refused During handling of the above exception, another exception occurred: URLError Traceback (most recent call last) Cell In[19], line 1 ----> 1 greene = pd.read_fwf("http://www.stern.nyu.edu/~wgreene/Text/Edition7/TableF5-2.txt") 2 greene.head() File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1565, in read_fwf(filepath_or_buffer, colspecs, widths, infer_nrows, dtype_backend, iterator, chunksize, **kwds) 1563 check_dtype_backend(dtype_backend) 1564 kwds["dtype_backend"] = dtype_backend -> 1565 return _read(filepath_or_buffer, kwds) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:620, in _read(filepath_or_buffer, kwds) 617 _validate_names(kwds.get("names", None)) 619 # Create the parser. --> 620 parser = TextFileReader(filepath_or_buffer, **kwds) 622 if chunksize or iterator: 623 return parser File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1620, in TextFileReader.__init__(self, f, engine, **kwds) 1617 self.options["has_index_names"] = kwds["has_index_names"] 1619 self.handles: IOHandles | None = None -> 1620 self._engine = self._make_engine(f, self.engine) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1880, in TextFileReader._make_engine(self, f, engine) 1878 if "b" not in mode: 1879 mode += "b" -> 1880 self.handles = get_handle( 1881 f, 1882 mode, 1883 encoding=self.options.get("encoding", None), 1884 compression=self.options.get("compression", None), 1885 memory_map=self.options.get("memory_map", False), 1886 is_text=is_text, 1887 errors=self.options.get("encoding_errors", "strict"), 1888 storage_options=self.options.get("storage_options", None), 1889 ) 1890 assert self.handles is not None 1891 f = self.handles.handle File /usr/lib/python3/dist-packages/pandas/io/common.py:728, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options) 725 codecs.lookup_error(errors) 727 # open URLs --> 728 ioargs = _get_filepath_or_buffer( 729 path_or_buf, 730 encoding=encoding, 731 compression=compression, 732 mode=mode, 733 storage_options=storage_options, 734 ) 736 handle = ioargs.filepath_or_buffer 737 handles: list[BaseBuffer] File /usr/lib/python3/dist-packages/pandas/io/common.py:384, in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options) 382 # assuming storage_options is to be interpreted as headers 383 req_info = urllib.request.Request(filepath_or_buffer, headers=storage_options) --> 384 with urlopen(req_info) as req: 385 content_encoding = req.headers.get("Content-Encoding", None) 386 if content_encoding == "gzip": 387 # Override compression based on Content-Encoding header File /usr/lib/python3/dist-packages/pandas/io/common.py:289, in urlopen(*args, **kwargs) 283 """ 284 Lazy-import wrapper for stdlib urlopen, as that imports a big chunk of 285 the stdlib. 286 """ 287 import urllib.request --> 289 return urllib.request.urlopen(*args, **kwargs) File /usr/lib/python3.13/urllib/request.py:189, in urlopen(url, data, timeout, context) 187 else: 188 opener = _opener --> 189 return opener.open(url, data, timeout) File /usr/lib/python3.13/urllib/request.py:489, in OpenerDirector.open(self, fullurl, data, timeout) 486 req = meth(req) 488 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method()) --> 489 response = self._open(req, data) 491 # post-process response 492 meth_name = protocol+"_response" File /usr/lib/python3.13/urllib/request.py:506, in OpenerDirector._open(self, req, data) 503 return result 505 protocol = req.type --> 506 result = self._call_chain(self.handle_open, protocol, protocol + 507 '_open', req) 508 if result: 509 return result File /usr/lib/python3.13/urllib/request.py:466, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args) 464 for handler in handlers: 465 func = getattr(handler, meth_name) --> 466 result = func(*args) 467 if result is not None: 468 return result File /usr/lib/python3.13/urllib/request.py:1348, in HTTPHandler.http_open(self, req) 1347 def http_open(self, req): -> 1348 return self.do_open(http.client.HTTPConnection, req) File /usr/lib/python3.13/urllib/request.py:1322, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args) 1319 h.request(req.get_method(), req.selector, req.data, headers, 1320 encode_chunked=req.has_header('Transfer-encoding')) 1321 except OSError as err: # timeout error -> 1322 raise URLError(err) 1323 r = h.getresponse() 1324 except: URLError: ****************************************************************************** Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/autoregressive_distributed_lag.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/mstl_decomposition.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/categorical_interaction_plot.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/tsa_filters.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/markov_regression.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/mixed_lm_example.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/gls.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/tsa_dates.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/interactions_anova.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/ols.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/lowess.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/influence_glm_logit.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/glm_formula.ipynb ****************************************************************************** ERROR: Error occurred when running /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/variance_components.ipynb A cell timed out while it was being executed, after 1000 seconds. The message was: Cell execution timed out. Here is a preview of the cell contents: ------------------- vc = {"g1": "0 + C(group1)", "g2": "0 + C(group2)"} oo = np.ones(df.shape[0]) model3 = sm.MixedLM.from_formula("y ~ 1", groups=oo, vc_formula=vc, data=df) result3 = model3.fit() print(result3.summary()) ------------------- A cell timed out while it was being executed, after 1000 seconds. The message was: Cell execution timed out. Here is a preview of the cell contents: ------------------- vc = {"g1": "0 + C(group1)", "g2": "0 + C(group2)"} oo = np.ones(df.shape[0]) model3 = sm.MixedLM.from_formula("y ~ 1", groups=oo, vc_formula=vc, data=df) result3 = model3.fit() print(result3.summary()) ------------------- ****************************************************************************** Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/variance_components.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_structural_harvey_jaeger.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_sarimax_internet.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/kernel_density.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/discrete_choice_example.ipynb Finished /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/count_hurdle.ipynb Copying (without executing) /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_custom_models.ipynb to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/statespace_custom_models.ipynb Finished (without execution) /build/reproducible-path/statsmodels-0.14.5+dfsg/examples/notebooks/statespace_custom_models.ipynb Copying notebooks that failed execution (there are usually several in Debian because some need network and/or dependencies we don't have) cp -nav ../examples/notebooks/*.ipynb -t source/examples/notebooks/generated || true '../examples/notebooks/autoregressions.ipynb' -> 'source/examples/notebooks/generated/autoregressions.ipynb' '../examples/notebooks/autoregressive_distributed_lag.ipynb' -> 'source/examples/notebooks/generated/autoregressive_distributed_lag.ipynb' '../examples/notebooks/contrasts.ipynb' -> 'source/examples/notebooks/generated/contrasts.ipynb' '../examples/notebooks/deterministics.ipynb' -> 'source/examples/notebooks/generated/deterministics.ipynb' '../examples/notebooks/distributed_estimation.ipynb' -> 'source/examples/notebooks/generated/distributed_estimation.ipynb' '../examples/notebooks/exponential_smoothing.ipynb' -> 'source/examples/notebooks/generated/exponential_smoothing.ipynb' '../examples/notebooks/formulas.ipynb' -> 'source/examples/notebooks/generated/formulas.ipynb' '../examples/notebooks/gee_nested_simulation.ipynb' -> 'source/examples/notebooks/generated/gee_nested_simulation.ipynb' '../examples/notebooks/gee_score_test_simulation.ipynb' -> 'source/examples/notebooks/generated/gee_score_test_simulation.ipynb' '../examples/notebooks/glm.ipynb' -> 'source/examples/notebooks/generated/glm.ipynb' '../examples/notebooks/glm_weights.ipynb' -> 'source/examples/notebooks/generated/glm_weights.ipynb' '../examples/notebooks/interactions_anova.ipynb' -> 'source/examples/notebooks/generated/interactions_anova.ipynb' '../examples/notebooks/linear_regression_diagnostics_plots.ipynb' -> 'source/examples/notebooks/generated/linear_regression_diagnostics_plots.ipynb' '../examples/notebooks/lowess.ipynb' -> 'source/examples/notebooks/generated/lowess.ipynb' '../examples/notebooks/markov_autoregression.ipynb' -> 'source/examples/notebooks/generated/markov_autoregression.ipynb' '../examples/notebooks/markov_regression.ipynb' -> 'source/examples/notebooks/generated/markov_regression.ipynb' '../examples/notebooks/mediation_survival.ipynb' -> 'source/examples/notebooks/generated/mediation_survival.ipynb' '../examples/notebooks/mstl_decomposition.ipynb' -> 'source/examples/notebooks/generated/mstl_decomposition.ipynb' '../examples/notebooks/ols.ipynb' -> 'source/examples/notebooks/generated/ols.ipynb' '../examples/notebooks/ordinal_regression.ipynb' -> 'source/examples/notebooks/generated/ordinal_regression.ipynb' '../examples/notebooks/pca_fertility_factors.ipynb' -> 'source/examples/notebooks/generated/pca_fertility_factors.ipynb' '../examples/notebooks/plots_boxplots.ipynb' -> 'source/examples/notebooks/generated/plots_boxplots.ipynb' '../examples/notebooks/postestimation_poisson.ipynb' -> 'source/examples/notebooks/generated/postestimation_poisson.ipynb' '../examples/notebooks/predict.ipynb' -> 'source/examples/notebooks/generated/predict.ipynb' '../examples/notebooks/quantile_regression.ipynb' -> 'source/examples/notebooks/generated/quantile_regression.ipynb' '../examples/notebooks/quasibinomial.ipynb' -> 'source/examples/notebooks/generated/quasibinomial.ipynb' '../examples/notebooks/recursive_ls.ipynb' -> 'source/examples/notebooks/generated/recursive_ls.ipynb' '../examples/notebooks/regression_diagnostics.ipynb' -> 'source/examples/notebooks/generated/regression_diagnostics.ipynb' '../examples/notebooks/regression_plots.ipynb' -> 'source/examples/notebooks/generated/regression_plots.ipynb' '../examples/notebooks/robust_models_0.ipynb' -> 'source/examples/notebooks/generated/robust_models_0.ipynb' '../examples/notebooks/robust_models_1.ipynb' -> 'source/examples/notebooks/generated/robust_models_1.ipynb' '../examples/notebooks/rolling_ls.ipynb' -> 'source/examples/notebooks/generated/rolling_ls.ipynb' '../examples/notebooks/statespace_arma_0.ipynb' -> 'source/examples/notebooks/generated/statespace_arma_0.ipynb' '../examples/notebooks/statespace_chandrasekhar.ipynb' -> 'source/examples/notebooks/generated/statespace_chandrasekhar.ipynb' '../examples/notebooks/statespace_concentrated_scale.ipynb' -> 'source/examples/notebooks/generated/statespace_concentrated_scale.ipynb' '../examples/notebooks/statespace_cycles.ipynb' -> 'source/examples/notebooks/generated/statespace_cycles.ipynb' '../examples/notebooks/statespace_dfm_coincident.ipynb' -> 'source/examples/notebooks/generated/statespace_dfm_coincident.ipynb' '../examples/notebooks/statespace_fixed_params.ipynb' -> 'source/examples/notebooks/generated/statespace_fixed_params.ipynb' '../examples/notebooks/statespace_forecasting.ipynb' -> 'source/examples/notebooks/generated/statespace_forecasting.ipynb' '../examples/notebooks/statespace_local_linear_trend.ipynb' -> 'source/examples/notebooks/generated/statespace_local_linear_trend.ipynb' '../examples/notebooks/statespace_news.ipynb' -> 'source/examples/notebooks/generated/statespace_news.ipynb' '../examples/notebooks/statespace_sarimax_faq.ipynb' -> 'source/examples/notebooks/generated/statespace_sarimax_faq.ipynb' '../examples/notebooks/statespace_sarimax_internet.ipynb' -> 'source/examples/notebooks/generated/statespace_sarimax_internet.ipynb' '../examples/notebooks/statespace_sarimax_pymc3.ipynb' -> 'source/examples/notebooks/generated/statespace_sarimax_pymc3.ipynb' '../examples/notebooks/statespace_sarimax_stata.ipynb' -> 'source/examples/notebooks/generated/statespace_sarimax_stata.ipynb' '../examples/notebooks/statespace_seasonal.ipynb' -> 'source/examples/notebooks/generated/statespace_seasonal.ipynb' '../examples/notebooks/statespace_structural_harvey_jaeger.ipynb' -> 'source/examples/notebooks/generated/statespace_structural_harvey_jaeger.ipynb' '../examples/notebooks/statespace_tvpvar_mcmc_cfa.ipynb' -> 'source/examples/notebooks/generated/statespace_tvpvar_mcmc_cfa.ipynb' '../examples/notebooks/statespace_varmax.ipynb' -> 'source/examples/notebooks/generated/statespace_varmax.ipynb' '../examples/notebooks/stats_poisson.ipynb' -> 'source/examples/notebooks/generated/stats_poisson.ipynb' '../examples/notebooks/stats_rankcompare.ipynb' -> 'source/examples/notebooks/generated/stats_rankcompare.ipynb' '../examples/notebooks/stl_decomposition.ipynb' -> 'source/examples/notebooks/generated/stl_decomposition.ipynb' '../examples/notebooks/theta-model.ipynb' -> 'source/examples/notebooks/generated/theta-model.ipynb' '../examples/notebooks/treatment_effect.ipynb' -> 'source/examples/notebooks/generated/treatment_effect.ipynb' '../examples/notebooks/tsa_arma_0.ipynb' -> 'source/examples/notebooks/generated/tsa_arma_0.ipynb' '../examples/notebooks/variance_components.ipynb' -> 'source/examples/notebooks/generated/variance_components.ipynb' '../examples/notebooks/wls.ipynb' -> 'source/examples/notebooks/generated/wls.ipynb' Replacing timestamps and build paths in examples output for reproducibility for html in `find source/examples/notebooks/generated -name "*.html" -o -name "*.ipynb" -o -name "*.ipynb.txt"` ; do \ sed -i -e 's#/build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/#/usr/lib/python3/dist-packages/statsmodels/#g' \ -e 's# at 0x[0-9a-f]\{8,16\}\(>\|>\)# at 0xadde5de1e8ed\1#g' \ -e 's#tmp/ipykernel_[0-9]\+#tmp/ipykernel_nnnnnnn#g' \ -e 's#^\s\+.\(iopub.execute_input\|iopub.status.busy\|iopub.status.idle\|shell.execute_reply\).:.*# #g' \ -e 's#\(Date:.*\)[A-Z][a-z]\+, \+[0-9]\+,\? \+[A-Z][a-z]\+,\? \+[0-9]\+#\1Sun, 10 Aug 2025#g' \ -e 's#\(Time:.*\)[0-9][0-9]:[0-9][0-9]:[0-9][0-9]#\113:13:47#g' ${html} ; \ done Running sphinx-build @sphinx-build -M html source build Running Sphinx v8.2.3 loading translations [en]... done Converting `source_suffix = '.rst'` to `source_suffix = {'.rst': 'restructuredtext'}`. loading intersphinx inventory 'numpy' from /usr/share/doc/python-numpy/html/objects.inv ... loading intersphinx inventory 'python' from /usr/share/doc/python3-doc/html/objects.inv ... loading intersphinx inventory 'pydagogue' from https://matthew-brett.github.io/pydagogue/objects.inv ... loading intersphinx inventory 'matplotlib' from /usr/share/doc/python-matplotlib-doc/html/objects.inv ... loading intersphinx inventory 'scipy' from /usr/share/doc/python-scipy-doc/html/objects.inv ... loading intersphinx inventory 'pandas' from /usr/share/doc/python-pandas-doc/html/objects.inv ... WARNING: failed to reach any of the inventories with the following issues: intersphinx inventory 'https://matthew-brett.github.io/pydagogue/objects.inv' not fetchable due to : HTTPSConnectionPool(host='matthew-brett.github.io', port=443): Max retries exceeded with url: /pydagogue/objects.inv (Caused by ProxyError('Unable to connect to proxy', NewConnectionError(': Failed to establish a new connection: [Errno 111] Connection refused'))) Writing evaluated template result to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/build/html/_static/nbsphinx-code-cells.css [autosummary] generating autosummary for: about.rst, anova.rst, api-structure.rst, api.rst, contingency_tables.rst, contrasts.rst, datasets/generated/anes96.rst, datasets/generated/cancer.rst, datasets/generated/ccard.rst, datasets/generated/china_smoking.rst, ..., rlm.rst, rlm_techn1.rst, sandbox.rst, statespace.rst, stats.rst, tools.rst, treatment.rst, tsa.rst, user-guide.rst, vector_ar.rst [autosummary] generating autosummary for: /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/datasets/statsmodels.datasets.clear_data_home.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/datasets/statsmodels.datasets.get_data_home.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/datasets/statsmodels.datasets.get_rdataset.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/datasets/statsmodels.datasets.webuse.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/generated/statsmodels.__init__.test.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/generated/statsmodels.base.model.LikelihoodModel.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/generated/statsmodels.base.model.LikelihoodModelResults.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/generated/statsmodels.base.model.Model.rst, ..., /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.var_model.VARResults.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.vecm.CointRankResults.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECM.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.vecm.coint_johansen.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.vecm.select_coint_rank.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.vecm.select_order.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.x13.x13_arima_analysis.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.x13.x13_arima_select_order.rst [autosummary] generating autosummary for: /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.endog_names.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.exog_names.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.expandparams.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.fit.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.from_formula.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.hessian.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.hessian_factor.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.information.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.initialize.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/generated/statsmodels.base.model.GenericLikelihoodModel.loglike.rst, ..., /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.test_granger_causality.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.test_inst_causality.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.test_normality.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.test_whiteness.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_alpha.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_beta.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_det_coef.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_det_coef_coint.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_gamma.rst, /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.vecm.VECMResults.var_rep.rst building [mo]: targets for 0 po files that are out of date writing output... building [html]: targets for 187 source files that are out of date updating environment: [new config] 6467 added, 0 changed, 0 removed reading sources... [ 0%] about reading sources... [ 0%] anova reading sources... [ 0%] api reading sources... [ 0%] api-structure reading sources... [ 0%] contingency_tables reading sources... [ 0%] contrasts reading sources... [ 0%] datasets/generated/anes96 reading sources... [ 0%] datasets/generated/cancer reading sources... [ 0%] datasets/generated/ccard reading sources... [ 0%] datasets/generated/china_smoking reading sources... [ 0%] datasets/generated/co2 reading sources... [ 0%] datasets/generated/committee reading sources... [ 0%] datasets/generated/copper reading sources... [ 0%] datasets/generated/cpunish reading sources... [ 0%] datasets/generated/danish_data reading sources... [ 0%] datasets/generated/elnino reading sources... [ 0%] datasets/generated/engel reading sources... [ 0%] datasets/generated/fair reading sources... [ 0%] datasets/generated/fertility reading sources... [ 0%] datasets/generated/grunfeld reading sources... [ 0%] datasets/generated/heart reading sources... [ 0%] datasets/generated/interest_inflation reading sources... [ 0%] datasets/generated/longley reading sources... [ 0%] datasets/generated/macrodata reading sources... [ 0%] datasets/generated/modechoice reading sources... [ 0%] datasets/generated/nile reading sources... [ 0%] datasets/generated/randhie reading sources... [ 0%] datasets/generated/scotland reading sources... [ 0%] datasets/generated/spector reading sources... [ 0%] datasets/generated/stackloss reading sources... [ 0%] datasets/generated/star98 reading sources... [ 0%] datasets/generated/statecrime reading sources... [ 1%] datasets/generated/strikes reading sources... [ 1%] datasets/generated/sunspots reading sources... [ 1%] datasets/index reading sources... [ 1%] datasets/statsmodels.datasets.clear_data_home reading sources... [ 1%] datasets/statsmodels.datasets.get_data_home reading sources... [ 1%] datasets/statsmodels.datasets.get_rdataset reading sources... [ 1%] datasets/statsmodels.datasets.webuse reading sources... [ 1%] dev/dataset_notes reading sources... [ 1%] dev/examples reading sources... [ 1%] dev/generated/statsmodels.__init__.test reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.endog_names reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.exog_names reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.expandparams reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.fit reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.from_formula reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.hessian reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.hessian_factor reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.information reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.initialize reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.loglike reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.loglikeobs reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.nloglike reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.predict reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.reduceparams reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.score reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.score_obs reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.aic reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.bic reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.bootstrap reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.bse reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.bsejac reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.bsejhj reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.conf_int reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.cov_params reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.covjac reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.covjhj reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.df_modelwc reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.f_test reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.get_nlfun reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.get_prediction reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.hessv reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.initialize reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.llf reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.load reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.normalized_cov_params reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.predict reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.pvalues reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.remove_data reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.save reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.score_obsv reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.summary reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.t_test reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.t_test_pairwise reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.tvalues reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.use_t reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.wald_test reading sources... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.wald_test_terms reading sources... [ 1%] dev/generated/statsmodels.base.model.LikelihoodModel reading sources... [ 1%] dev/generated/statsmodels.base.model.LikelihoodModel.endog_names reading sources... [ 1%] dev/generated/statsmodels.base.model.LikelihoodModel.exog_names reading sources... [ 1%] dev/generated/statsmodels.base.model.LikelihoodModel.fit reading sources... [ 1%] dev/generated/statsmodels.base.model.LikelihoodModel.from_formula reading sources... [ 1%] dev/generated/statsmodels.base.model.LikelihoodModel.hessian reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModel.information reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModel.initialize reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModel.loglike reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModel.predict reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModel.score reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.bse reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.conf_int reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.cov_params reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.f_test reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.initialize reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.llf reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.load reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.normalized_cov_params reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.predict reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.pvalues reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.remove_data reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.save reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.summary reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.t_test reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.t_test_pairwise reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.tvalues reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.use_t reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.wald_test reading sources... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.wald_test_terms reading sources... [ 2%] dev/generated/statsmodels.base.model.Model reading sources... [ 2%] dev/generated/statsmodels.base.model.Model.endog_names reading sources... [ 2%] dev/generated/statsmodels.base.model.Model.exog_names reading sources... [ 2%] dev/generated/statsmodels.base.model.Model.fit reading sources... [ 2%] dev/generated/statsmodels.base.model.Model.from_formula reading sources... [ 2%] dev/generated/statsmodels.base.model.Model.predict reading sources... [ 2%] dev/generated/statsmodels.base.model.ResultMixin reading sources... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.aic reading sources... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.bic reading sources... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.bootstrap reading sources... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.bsejac reading sources... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.bsejhj reading sources... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.covjac reading sources... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.covjhj reading sources... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.df_modelwc reading sources... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.get_nlfun reading sources... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.hessv reading sources... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.score_obsv reading sources... [ 2%] dev/generated/statsmodels.base.model.Results reading sources... [ 2%] dev/generated/statsmodels.base.model.Results.initialize reading sources... [ 2%] dev/generated/statsmodels.base.model.Results.predict reading sources... [ 2%] dev/generated/statsmodels.base.model.Results.summary reading sources... [ 2%] dev/generated/statsmodels.stats.contrast.ContrastResults reading sources... [ 2%] dev/generated/statsmodels.stats.contrast.ContrastResults.conf_int reading sources... [ 2%] dev/generated/statsmodels.stats.contrast.ContrastResults.df_denom reading sources... [ 2%] dev/generated/statsmodels.stats.contrast.ContrastResults.summary reading sources... [ 2%] dev/generated/statsmodels.stats.contrast.ContrastResults.summary_frame reading sources... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.CacheWriteWarning reading sources... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.CollinearityWarning reading sources... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.ConvergenceWarning reading sources... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.DomainWarning reading sources... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.EstimationWarning reading sources... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.HessianInversionWarning reading sources... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.HypothesisTestWarning reading sources... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.IOWarning reading sources... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.InterpolationWarning reading sources... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.InvalidTestWarning reading sources... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.IterationLimitWarning reading sources... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.ModelWarning reading sources... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.ModuleUnavailableWarning reading sources... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.NotImplementedWarning reading sources... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.OutputWarning reading sources... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.ParseError reading sources... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.PerfectSeparationError reading sources... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.PrecisionWarning reading sources... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.SingularMatrixWarning reading sources... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.SpecificationWarning reading sources... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.ValueWarning reading sources... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.X13Error reading sources... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.X13NotFoundError reading sources... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.X13Warning reading sources... [ 3%] dev/get_involved reading sources... [ 3%] dev/git_notes reading sources... [ 3%] dev/index reading sources... [ 3%] dev/internal reading sources... [ 3%] dev/maintainer_notes reading sources... [ 3%] dev/naming_conventions reading sources... [ 3%] dev/test_notes reading sources... [ 3%] dev/testing reading sources... [ 3%] dev/warnings-and-exceptions reading sources... [ 3%] diagnostic reading sources... [ 3%] discretemod reading sources... [ 3%] distributions reading sources... [ 3%] duration reading sources... [ 3%] emplike reading sources... [ 3%] endog_exog reading sources... [ 3%] example_formulas reading sources... [ 3%] examples/index reading sources... [ 3%] examples/notebooks/generated/autoregressions reading sources... [ 3%] examples/notebooks/generated/autoregressive_distributed_lag reading sources... [ 3%] examples/notebooks/generated/categorical_interaction_plot reading sources... [ 3%] examples/notebooks/generated/chi2_fitting reading sources... [ 3%] examples/notebooks/generated/contrasts reading sources... [ 3%] examples/notebooks/generated/copula reading sources... [ 3%] examples/notebooks/generated/count_hurdle reading sources... [ 3%] examples/notebooks/generated/deterministics reading sources... [ 3%] examples/notebooks/generated/discrete_choice_example reading sources... [ 3%] examples/notebooks/generated/discrete_choice_overview reading sources... [ 3%] examples/notebooks/generated/distributed_estimation reading sources... [ 3%] examples/notebooks/generated/ets reading sources... [ 3%] examples/notebooks/generated/exponential_smoothing reading sources... [ 3%] examples/notebooks/generated/formulas reading sources... [ 3%] examples/notebooks/generated/gee_nested_simulation reading sources... [ 3%] examples/notebooks/generated/gee_score_test_simulation reading sources... [ 3%] examples/notebooks/generated/generic_mle reading sources... [ 3%] examples/notebooks/generated/glm reading sources... [ 3%] examples/notebooks/generated/glm_formula reading sources... [ 3%] examples/notebooks/generated/glm_weights reading sources... [ 3%] examples/notebooks/generated/gls reading sources... [ 3%] examples/notebooks/generated/influence_glm_logit reading sources... [ 3%] examples/notebooks/generated/interactions_anova reading sources... [ 3%] examples/notebooks/generated/kernel_density reading sources... [ 3%] examples/notebooks/generated/linear_regression_diagnostics_plots reading sources... [ 3%] examples/notebooks/generated/lowess reading sources... [ 3%] examples/notebooks/generated/markov_autoregression reading sources... [ 3%] examples/notebooks/generated/markov_regression reading sources... [ 3%] examples/notebooks/generated/mediation_survival reading sources... [ 3%] examples/notebooks/generated/metaanalysis1 reading sources... [ 3%] examples/notebooks/generated/mixed_lm_example reading sources... [ 3%] examples/notebooks/generated/mstl_decomposition reading sources... [ 3%] examples/notebooks/generated/ols reading sources... [ 3%] examples/notebooks/generated/ordinal_regression reading sources... [ 3%] examples/notebooks/generated/pca_fertility_factors reading sources... [ 3%] examples/notebooks/generated/plots_boxplots reading sources... [ 4%] examples/notebooks/generated/postestimation_poisson reading sources... [ 4%] examples/notebooks/generated/predict reading sources... [ 4%] examples/notebooks/generated/quantile_regression reading sources... [ 4%] examples/notebooks/generated/quasibinomial reading sources... [ 4%] examples/notebooks/generated/recursive_ls reading sources... [ 4%] examples/notebooks/generated/regression_diagnostics reading sources... [ 4%] examples/notebooks/generated/regression_plots reading sources... [ 4%] examples/notebooks/generated/robust_models_0 reading sources... [ 4%] examples/notebooks/generated/robust_models_1 reading sources... [ 4%] examples/notebooks/generated/rolling_ls reading sources... [ 4%] examples/notebooks/generated/statespace_arma_0 reading sources... [ 4%] examples/notebooks/generated/statespace_chandrasekhar reading sources... [ 4%] examples/notebooks/generated/statespace_concentrated_scale reading sources... [ 4%] examples/notebooks/generated/statespace_custom_models reading sources... [ 4%] examples/notebooks/generated/statespace_cycles reading sources... [ 4%] examples/notebooks/generated/statespace_dfm_coincident reading sources... [ 4%] examples/notebooks/generated/statespace_fixed_params reading sources... [ 4%] examples/notebooks/generated/statespace_forecasting reading sources... [ 4%] examples/notebooks/generated/statespace_local_linear_trend reading sources... [ 4%] examples/notebooks/generated/statespace_news reading sources... [ 4%] examples/notebooks/generated/statespace_sarimax_faq reading sources... [ 4%] examples/notebooks/generated/statespace_sarimax_internet reading sources... [ 4%] examples/notebooks/generated/statespace_sarimax_pymc3 reading sources... [ 4%] examples/notebooks/generated/statespace_sarimax_stata reading sources... [ 4%] examples/notebooks/generated/statespace_seasonal reading sources... [ 4%] examples/notebooks/generated/statespace_structural_harvey_jaeger reading sources... [ 4%] examples/notebooks/generated/statespace_tvpvar_mcmc_cfa reading sources... [ 4%] examples/notebooks/generated/statespace_varmax reading sources... [ 4%] examples/notebooks/generated/stationarity_detrending_adf_kpss reading sources... [ 4%] examples/notebooks/generated/stats_poisson reading sources... [ 4%] examples/notebooks/generated/stats_rankcompare reading sources... [ 4%] examples/notebooks/generated/stl_decomposition reading sources... [ 4%] examples/notebooks/generated/theta-model reading sources... [ 4%] examples/notebooks/generated/treatment_effect reading sources... [ 4%] examples/notebooks/generated/tsa_arma_0 reading sources... [ 4%] examples/notebooks/generated/tsa_arma_1 reading sources... [ 4%] examples/notebooks/generated/tsa_dates reading sources... [ 4%] examples/notebooks/generated/tsa_filters reading sources... [ 4%] examples/notebooks/generated/variance_components reading sources... [ 4%] examples/notebooks/generated/wls reading sources... [ 4%] faq reading sources... [ 4%] gam reading sources... [ 4%] gee reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedModel reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedModel.fit reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedModel.fit_joblib reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedModel.fit_sequential reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.bse reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.conf_int reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.cov_params reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.f_test reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.initialize reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.llf reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.load reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.normalized_cov_params reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.predict reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.pvalues reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.remove_data reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.save reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.summary reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.t_test reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.t_test_pairwise reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.tvalues reading sources... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.use_t reading sources... [ 5%] generated/statsmodels.base.distributed_estimation.DistributedResults.wald_test reading sources... [ 5%] generated/statsmodels.base.distributed_estimation.DistributedResults.wald_test_terms reading sources... [ 5%] generated/statsmodels.base.elastic_net.RegularizedResults reading sources... [ 5%] generated/statsmodels.base.elastic_net.RegularizedResults.fittedvalues reading sources... [ 5%] generated/statsmodels.base.elastic_net.RegularizedResults.initialize reading sources... [ 5%] generated/statsmodels.base.elastic_net.RegularizedResults.predict reading sources... [ 5%] generated/statsmodels.base.elastic_net.RegularizedResults.summary reading sources... [ 5%] generated/statsmodels.base.optimizer.Optimizer reading sources... [ 5%] generated/statsmodels.base.optimizer._fit_basinhopping reading sources... [ 5%] generated/statsmodels.base.optimizer._fit_bfgs reading sources... [ 5%] generated/statsmodels.base.optimizer._fit_cg reading sources... [ 5%] generated/statsmodels.base.optimizer._fit_lbfgs reading sources... [ 5%] generated/statsmodels.base.optimizer._fit_ncg reading sources... [ 5%] generated/statsmodels.base.optimizer._fit_newton reading sources... [ 5%] generated/statsmodels.base.optimizer._fit_nm reading sources... [ 5%] generated/statsmodels.base.optimizer._fit_powell reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.endog_names reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.exog_names reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.fit reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.fit_regularized reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.from_formula reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.hessian reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.information reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.initialize reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.loglike reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.loglike_grp reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.predict reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.score reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.score_grp reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.endog_names reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.exog_names reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.fit reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.fit_regularized reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.from_formula reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.hessian reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.information reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.initialize reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.loglike reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.predict reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.score reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.endog_names reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.exog_names reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.fit reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.fit_regularized reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.from_formula reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.hessian reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.information reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.initialize reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.loglike reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.predict reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.score reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.bse reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.conf_int reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.cov_params reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.f_test reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.initialize reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.llf reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.load reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.normalized_cov_params reading sources... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.predict reading sources... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.pvalues reading sources... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.remove_data reading sources... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.save reading sources... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.summary reading sources... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.t_test reading sources... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.t_test_pairwise reading sources... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.tvalues reading sources... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.use_t reading sources... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.wald_test reading sources... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.wald_test_terms reading sources... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated reading sources... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.cdf reading sources... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.cov_params_func_l1 reading sources... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.endog_names reading sources... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.exog_names reading sources... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.fit reading sources... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.fit_regularized reading sources... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.from_formula reading sources... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.hessian reading sources... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.information reading sources... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.initialize reading sources... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.loglike reading sources... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.loglikeobs reading sources... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.pdf reading sources... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.predict reading sources... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.score reading sources... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.score_obs reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.cdf reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.cov_params_func_l1 reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.endog_names reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.exog_names reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.fit reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.fit_regularized reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.from_formula reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.get_distribution reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.hessian reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.information reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.initialize reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.loglike reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.loglikeobs reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.pdf reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.predict reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.score reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.score_obs reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.aic reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.bic reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.bse reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.conf_int reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.cov_params reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.f_test reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.fittedvalues reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.get_diagnostic reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.get_distribution reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.get_influence reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.get_margeff reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.get_prediction reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.im_ratio reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.info_criteria reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.initialize reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.llf reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.llnull reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.llr reading sources... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.llr_pvalue reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.load reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.normalized_cov_params reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.predict reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.prsquared reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.pvalues reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.remove_data reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.resid reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.resid_pearson reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.resid_response reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.save reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.score_test reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.set_null_options reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.summary reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.summary2 reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.t_test reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.t_test_pairwise reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.tvalues reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.use_t reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.wald_test reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.wald_test_terms reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.cdf reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.cov_params_func_l1 reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.endog_names reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.exog_names reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.fit reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.fit_regularized reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.from_formula reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.get_distribution reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.hessian reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.information reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.initialize reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.loglike reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.loglikeobs reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.pdf reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.predict reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.score reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.score_obs reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.aic reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.bic reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.bse reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.conf_int reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.cov_params reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.f_test reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.fittedvalues reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.get_diagnostic reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.get_distribution reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.get_influence reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.get_margeff reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.get_prediction reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.im_ratio reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.info_criteria reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.initialize reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.llf reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.llnull reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.llr reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.llr_pvalue reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.load reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.normalized_cov_params reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.predict reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.prsquared reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.pvalues reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.remove_data reading sources... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.resid reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.resid_pearson reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.resid_response reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.save reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.score_test reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.set_null_options reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.summary reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.summary2 reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.t_test reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.t_test_pairwise reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.tvalues reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.use_t reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.wald_test reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.wald_test_terms reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.cdf reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.cov_params_func_l1 reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.endog_names reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.exog_names reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.fit reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.fit_regularized reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.from_formula reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.get_distribution reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.hessian reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.information reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.initialize reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.loglike reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.loglikeobs reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.pdf reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.predict reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.score reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.score_obs reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.aic reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.bic reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.bse reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.conf_int reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.cov_params reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.f_test reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.fittedvalues reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.get_diagnostic reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.get_distribution reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.get_influence reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.get_margeff reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.get_prediction reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.im_ratio reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.info_criteria reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.initialize reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.llf reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.llnull reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.llr reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.llr_pvalue reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.load reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.normalized_cov_params reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.predict reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.prsquared reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.pvalues reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.remove_data reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.resid reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.resid_pearson reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.resid_response reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.save reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.score_test reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.set_null_options reading sources... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.summary reading sources... [ 9%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.summary2 reading sources... [ 9%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.t_test reading sources... [ 9%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.t_test_pairwise reading sources... [ 9%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.tvalues reading sources... [ 9%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.use_t reading sources... [ 9%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.wald_test reading sources... [ 9%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.wald_test_terms reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.cdf reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.cov_params_func_l1 reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.endog_names reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.exog_names reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.fit reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.fit_constrained reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.fit_regularized reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.from_formula reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.get_distribution reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.hessian reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.information reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.initialize reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.loglike reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.pdf reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.predict reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.score reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.aic reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.bic reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.bse reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.conf_int reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.cov_params reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.f_test reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.fittedvalues reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.get_distribution reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.get_influence reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.get_margeff reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.get_prediction reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.im_ratio reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.info_criteria reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.initialize reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.llf reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.llnull reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.llr reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.llr_pvalue reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.load reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.normalized_cov_params reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.pred_table reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.predict reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.prsquared reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.pvalues reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.remove_data reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.resid_dev reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.resid_pearson reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.resid_response reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.save reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.score_test reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.set_null_options reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.summary reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.summary2 reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.t_test reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.t_test_pairwise reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.tvalues reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.use_t reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.wald_test reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.wald_test_terms reading sources... [ 9%] generated/statsmodels.discrete.discrete_model.CountModel reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.cdf reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.cov_params_func_l1 reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.endog_names reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.exog_names reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.fit reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.fit_regularized reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.from_formula reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.hessian reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.information reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.initialize reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.loglike reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.pdf reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.predict reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.score reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.aic reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.bic reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.bse reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.conf_int reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.cov_params reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.f_test reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.fittedvalues reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.get_diagnostic reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.get_distribution reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.get_influence reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.get_margeff reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.get_prediction reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.im_ratio reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.info_criteria reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.initialize reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.llf reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.llnull reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.llr reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.llr_pvalue reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.load reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.normalized_cov_params reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.predict reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.prsquared reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.pvalues reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.remove_data reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.resid reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.resid_pearson reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.resid_response reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.save reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.score_test reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.set_null_options reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.summary reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.summary2 reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.t_test reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.t_test_pairwise reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.tvalues reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.use_t reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.wald_test reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.wald_test_terms reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.cdf reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.cov_params_func_l1 reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.endog_names reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.exog_names reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.fit reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.fit_regularized reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.from_formula reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.hessian reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.information reading sources... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.initialize reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteModel.loglike reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteModel.pdf reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteModel.predict reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteModel.score reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.aic reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.bic reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.bse reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.conf_int reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.cov_params reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.f_test reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.fittedvalues reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.get_distribution reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.get_influence reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.get_margeff reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.get_prediction reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.im_ratio reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.info_criteria reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.initialize reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.llf reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.llnull reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.llr reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.llr_pvalue reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.load reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.normalized_cov_params reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.predict reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.prsquared reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.pvalues reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.remove_data reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.resid_pearson reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.resid_response reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.save reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.score_test reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.set_null_options reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.summary reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.summary2 reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.t_test reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.t_test_pairwise reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.tvalues reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.use_t reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.wald_test reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.wald_test_terms reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.cdf reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.cov_params_func_l1 reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.endog_names reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.exog_names reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.fit reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.fit_regularized reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.from_formula reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.get_distribution reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.hessian reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.hessian_factor reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.information reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.initialize reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.loglike reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.loglikeobs reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.pdf reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.predict reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.score reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.score_factor reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.score_obs reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults reading sources... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.aic reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.bic reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.bse reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.conf_int reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.cov_params reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.f_test reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.fittedvalues reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.get_diagnostic reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.get_distribution reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.get_influence reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.get_margeff reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.get_prediction reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.im_ratio reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.info_criteria reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.initialize reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.llf reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.llnull reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.llr reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.llr_pvalue reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.lnalpha reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.lnalpha_std_err reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.load reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.normalized_cov_params reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.predict reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.prsquared reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.pvalues reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.remove_data reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.resid reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.resid_pearson reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.resid_response reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.save reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.score_test reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.set_null_options reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.summary reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.summary2 reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.t_test reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.t_test_pairwise reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.tvalues reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.use_t reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.wald_test reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.wald_test_terms reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.cdf reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.cov_params_func_l1 reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.endog_names reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.exog_names reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.family reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.fit reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.fit_constrained reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.fit_regularized reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.from_formula reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.get_distribution reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.hessian reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.hessian_factor reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.information reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.initialize reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.link reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.loglike reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.loglikeobs reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.pdf reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.predict reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.score reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.score_factor reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.score_obs reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.LogitResults reading sources... [ 12%] generated/statsmodels.discrete.discrete_model.LogitResults.aic reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.bic reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.bse reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.conf_int reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.cov_params reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.f_test reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.fittedvalues reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.get_distribution reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.get_influence reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.get_margeff reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.get_prediction reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.im_ratio reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.info_criteria reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.initialize reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.llf reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.llnull reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.llr reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.llr_pvalue reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.load reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.normalized_cov_params reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.pred_table reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.predict reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.prsquared reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.pvalues reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.remove_data reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.resid_dev reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.resid_generalized reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.resid_pearson reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.resid_response reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.save reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.score_test reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.set_null_options reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.summary reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.summary2 reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.t_test reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.t_test_pairwise reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.tvalues reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.use_t reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.wald_test reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.wald_test_terms reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.cdf reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.cov_params_func_l1 reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.endog_names reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.exog_names reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.fit reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.fit_constrained reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.fit_regularized reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.from_formula reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.get_distribution reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.hessian reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.information reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.initialize reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.loglike reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.loglike_and_score reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.loglikeobs reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.pdf reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.predict reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.score reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.score_obs reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MultinomialModel reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MultinomialModel.cdf reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MultinomialModel.cov_params_func_l1 reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MultinomialModel.endog_names reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MultinomialModel.exog_names reading sources... [ 13%] generated/statsmodels.discrete.discrete_model.MultinomialModel.fit reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.fit_constrained reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.fit_regularized reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.from_formula reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.get_distribution reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.hessian reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.information reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.initialize reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.loglike reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.pdf reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.predict reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.score reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.aic reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.bic reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.bse reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.conf_int reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.cov_params reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.f_test reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.fittedvalues reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.get_distribution reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.get_influence reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.get_margeff reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.get_prediction reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.im_ratio reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.info_criteria reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.initialize reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.llf reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.llnull reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.llr reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.llr_pvalue reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.load reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.margeff reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.normalized_cov_params reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.pred_table reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.predict reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.prsquared reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.pvalues reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.remove_data reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.resid_misclassified reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.resid_pearson reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.resid_response reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.save reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.score_test reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.set_null_options reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.summary reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.summary2 reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.t_test reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.t_test_pairwise reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.tvalues reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.use_t reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.wald_test reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.wald_test_terms reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.cdf reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.cov_params_func_l1 reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.endog_names reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.exog_names reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.fit reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.fit_regularized reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.from_formula reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.get_distribution reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.hessian reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.information reading sources... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.initialize reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.loglike reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.pdf reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.predict reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.score reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.score_obs reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.cdf reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.convert_params reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.cov_params_func_l1 reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.endog_names reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.exog_names reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.fit reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.fit_regularized reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.from_formula reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.get_distribution reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.hessian reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.hessian_factor reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.information reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.initialize reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.loglike reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.loglikeobs reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.pdf reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.predict reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.score reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.score_factor reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.score_obs reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.aic reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.bic reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.bse reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.conf_int reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.cov_params reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.f_test reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.fittedvalues reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.get_diagnostic reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.get_distribution reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.get_influence reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.get_margeff reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.get_prediction reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.im_ratio reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.info_criteria reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.initialize reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.llf reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.llnull reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.llr reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.llr_pvalue reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.lnalpha reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.lnalpha_std_err reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.load reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.normalized_cov_params reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.predict reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.prsquared reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.pvalues reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.remove_data reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.resid reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.resid_pearson reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.resid_response reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.save reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.score_test reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.set_null_options reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.summary reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.summary2 reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.t_test reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.t_test_pairwise reading sources... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.tvalues reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.use_t reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.wald_test reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.wald_test_terms reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.cdf reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.cov_params_func_l1 reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.endog_names reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.exog_names reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.family reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.fit reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.fit_constrained reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.fit_regularized reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.from_formula reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.get_distribution reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.hessian reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.hessian_factor reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.information reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.initialize reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.loglike reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.loglikeobs reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.pdf reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.predict reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.score reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.score_factor reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.score_obs reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.cdf reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.cov_params_func_l1 reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.endog_names reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.exog_names reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.fit reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.fit_constrained reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.fit_regularized reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.from_formula reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.get_distribution reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.hessian reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.hessian_factor reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.information reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.initialize reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.link reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.loglike reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.loglikeobs reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.pdf reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.predict reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.score reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.score_factor reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.score_obs reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.aic reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.bic reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.bse reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.conf_int reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.cov_params reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.f_test reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.fittedvalues reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.get_distribution reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.get_influence reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.get_margeff reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.get_prediction reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.im_ratio reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.info_criteria reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.initialize reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.llf reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.llnull reading sources... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.llr reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.llr_pvalue reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.load reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.normalized_cov_params reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.pred_table reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.predict reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.prsquared reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.pvalues reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.remove_data reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.resid_dev reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.resid_generalized reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.resid_pearson reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.resid_response reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.save reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.score_test reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.set_null_options reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.summary reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.summary2 reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.t_test reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.t_test_pairwise reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.tvalues reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.use_t reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.wald_test reading sources... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.wald_test_terms reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.cdf reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.cov_params_func_l1 reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.endog_names reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.exog_names reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.fit reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.fit_regularized reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.from_formula reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.hessian reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.information reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.initialize reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.loglike reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.pdf reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.predict reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.score reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.aic reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.bic reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.bse reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.conf_int reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.cov_params reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.f_test reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.fittedvalues reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.get_diagnostic reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.get_distribution reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.get_influence reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.get_margeff reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.get_prediction reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.im_ratio reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.info_criteria reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.initialize reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.llf reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.llnull reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.llr reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.llr_pvalue reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.load reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.normalized_cov_params reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.predict reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.prsquared reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.pvalues reading sources... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.remove_data reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.resid reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.resid_pearson reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.resid_response reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.save reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.score_test reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.set_null_options reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.summary reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.summary2 reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.t_test reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.t_test_pairwise reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.tvalues reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.use_t reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.wald_test reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.wald_test_terms reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.cdf reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.cov_params_func_l1 reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.endog_names reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.exog_names reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.fit reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.fit_regularized reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.from_formula reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.hessian reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.information reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.initialize reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.loglike reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.loglikeobs reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.pdf reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.predict reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.score reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.score_obs reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.cdf reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.cov_params_func_l1 reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.endog_names reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.exog_names reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.fit reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.fit_regularized reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.from_formula reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.hessian reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.information reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.initialize reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.loglike reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.loglikeobs reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.pdf reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.predict reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.score reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.score_obs reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.aic reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.bic reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.bse reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.conf_int reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.cov_params reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.f_test reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.fittedvalues reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.get_diagnostic reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.get_distribution reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.get_influence reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.get_margeff reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.get_prediction reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.im_ratio reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.info_criteria reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.initialize reading sources... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.llf reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.llnull reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.llr reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.llr_pvalue reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.load reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.normalized_cov_params reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.predict reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.prsquared reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.pvalues reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.remove_data reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.resid reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.resid_pearson reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.resid_response reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.save reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.score_test reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.set_null_options reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.summary reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.summary2 reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.t_test reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.t_test_pairwise reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.tvalues reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.use_t reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.wald_test reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.wald_test_terms reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.aic reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.bic reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.bse reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.conf_int reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.cov_params reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.f_test reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.fittedvalues reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.get_diagnostic reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.get_distribution reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.get_influence reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.get_margeff reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.get_prediction reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.im_ratio reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.info_criteria reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.initialize reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.llf reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.llnull reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.llr reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.llr_pvalue reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.load reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.normalized_cov_params reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.predict reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.prsquared reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.pvalues reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.remove_data reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.resid reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.resid_pearson reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.resid_response reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.save reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.score_test reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.set_null_options reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.summary reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.summary2 reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.t_test reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.t_test_pairwise reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.tvalues reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.use_t reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.wald_test reading sources... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.wald_test_terms reading sources... [ 19%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula reading sources... [ 19%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula.cdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula.fit_corr_param reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula.logpdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula.pdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula.plot_pdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula.plot_scatter reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula.rvs reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula.tau_simulated reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.cdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.fit_corr_param reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.logpdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.pdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.plot_pdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.plot_scatter reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.rvs reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.tau reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.tau_simulated reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.theta_from_tau reading sources... [ 20%] generated/statsmodels.distributions.copula.api.CopulaDistribution reading sources... [ 20%] generated/statsmodels.distributions.copula.api.CopulaDistribution.cdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.CopulaDistribution.logpdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.CopulaDistribution.pdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.CopulaDistribution.rvs reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.cdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.conditional_2g1 reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.fit_corr_param reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.logpdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.pdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.plot_pdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.plot_scatter reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.rvs reading sources... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.tau_simulated reading sources... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula reading sources... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.cdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.cdfcond_2g1 reading sources... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.fit_corr_param reading sources... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.logpdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.pdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.plot_pdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.plot_scatter reading sources... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.ppfcond_2g1 reading sources... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.rvs reading sources... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.tau reading sources... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.tau_simulated reading sources... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.theta_from_tau reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.cdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.corr_from_tau reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.dependence_tail reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.fit_corr_param reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.logpdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.pdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.plot_pdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.plot_scatter reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.rvs reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.tau reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.tau_simulated reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GumbelCopula reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GumbelCopula.cdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GumbelCopula.fit_corr_param reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GumbelCopula.logpdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GumbelCopula.pdf reading sources... [ 20%] generated/statsmodels.distributions.copula.api.GumbelCopula.plot_pdf reading sources... [ 21%] generated/statsmodels.distributions.copula.api.GumbelCopula.plot_scatter reading sources... [ 21%] generated/statsmodels.distributions.copula.api.GumbelCopula.rvs reading sources... [ 21%] generated/statsmodels.distributions.copula.api.GumbelCopula.tau reading sources... [ 21%] generated/statsmodels.distributions.copula.api.GumbelCopula.tau_simulated reading sources... [ 21%] generated/statsmodels.distributions.copula.api.GumbelCopula.theta_from_tau reading sources... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula reading sources... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.cdf reading sources... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.fit_corr_param reading sources... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.logpdf reading sources... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.pdf reading sources... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.plot_pdf reading sources... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.plot_scatter reading sources... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.rvs reading sources... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.tau reading sources... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.tau_simulated reading sources... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula reading sources... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.cdf reading sources... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.corr_from_tau reading sources... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.dependence_tail reading sources... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.fit_corr_param reading sources... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.logpdf reading sources... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.pdf reading sources... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.plot_pdf reading sources... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.plot_scatter reading sources... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.rvs reading sources... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.spearmans_rho reading sources... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.tau reading sources... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.tau_simulated reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.cdf reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.entropy reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.expect reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.freeze reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.interval reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.isf reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.logcdf reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.logpmf reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.logsf reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.mean reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.median reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.moment reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.nnlf reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.pmf reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.ppf reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.random_state reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.rvs reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.sf reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.stats reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.std reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.support reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.var reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.endog_names reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.exog_names reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.expandparams reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.fit reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.from_formula reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.get_distr reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.hessian reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.hessian_factor reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.information reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.initialize reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.loglike reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.loglikeobs reading sources... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.nloglike reading sources... [ 22%] generated/statsmodels.distributions.discrete.DiscretizedModel.predict reading sources... [ 22%] generated/statsmodels.distributions.discrete.DiscretizedModel.reduceparams reading sources... [ 22%] generated/statsmodels.distributions.discrete.DiscretizedModel.score reading sources... [ 22%] generated/statsmodels.distributions.discrete.DiscretizedModel.score_obs reading sources... [ 22%] generated/statsmodels.distributions.discrete.genpoisson_p reading sources... [ 22%] generated/statsmodels.distributions.discrete.zigenpoisson reading sources... [ 22%] generated/statsmodels.distributions.discrete.zinegbin reading sources... [ 22%] generated/statsmodels.distributions.discrete.zipoisson reading sources... [ 22%] generated/statsmodels.distributions.empirical_distribution.ECDF reading sources... [ 22%] generated/statsmodels.distributions.empirical_distribution.ECDFDiscrete reading sources... [ 22%] generated/statsmodels.distributions.empirical_distribution.StepFunction reading sources... [ 22%] generated/statsmodels.distributions.empirical_distribution.monotone_fn_inverter reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.baseline_cumulative_hazard reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.baseline_cumulative_hazard_function reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.breslow_gradient reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.breslow_hessian reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.breslow_loglike reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.efron_gradient reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.efron_hessian reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.efron_loglike reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.endog_names reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.exog_names reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.fit reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.fit_regularized reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.from_formula reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.get_distribution reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.hessian reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.information reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.initialize reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.loglike reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.predict reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.robust_covariance reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.score reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.score_residuals reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.weighted_covariate_averages reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.baseline_cumulative_hazard reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.baseline_cumulative_hazard_function reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.bse reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.conf_int reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.cov_params reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.f_test reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.get_distribution reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.initialize reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.llf reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.load reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.martingale_residuals reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.normalized_cov_params reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.predict reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.pvalues reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.remove_data reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.save reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.schoenfeld_residuals reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.score_residuals reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.standard_errors reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.summary reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.t_test reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.t_test_pairwise reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.tvalues reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.use_t reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.wald_test reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.wald_test_terms reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.weighted_covariate_averages reading sources... [ 22%] generated/statsmodels.duration.hazard_regression.rv_discrete_float reading sources... [ 23%] generated/statsmodels.duration.hazard_regression.rv_discrete_float.mean reading sources... [ 23%] generated/statsmodels.duration.hazard_regression.rv_discrete_float.rvs reading sources... [ 23%] generated/statsmodels.duration.hazard_regression.rv_discrete_float.std reading sources... [ 23%] generated/statsmodels.duration.hazard_regression.rv_discrete_float.var reading sources... [ 23%] generated/statsmodels.duration.survfunc.SurvfuncRight reading sources... [ 23%] generated/statsmodels.duration.survfunc.SurvfuncRight.plot reading sources... [ 23%] generated/statsmodels.duration.survfunc.SurvfuncRight.quantile reading sources... [ 23%] generated/statsmodels.duration.survfunc.SurvfuncRight.quantile_ci reading sources... [ 23%] generated/statsmodels.duration.survfunc.SurvfuncRight.simultaneous_cb reading sources... [ 23%] generated/statsmodels.duration.survfunc.SurvfuncRight.summary reading sources... [ 23%] generated/statsmodels.emplike.descriptive.DescStat reading sources... [ 23%] generated/statsmodels.emplike.descriptive.DescStatMV reading sources... [ 23%] generated/statsmodels.emplike.descriptive.DescStatMV.ci_corr reading sources... [ 23%] generated/statsmodels.emplike.descriptive.DescStatMV.mv_mean_contour reading sources... [ 23%] generated/statsmodels.emplike.descriptive.DescStatMV.mv_test_mean reading sources... [ 23%] generated/statsmodels.emplike.descriptive.DescStatMV.test_corr reading sources... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV reading sources... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.ci_kurt reading sources... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.ci_mean reading sources... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.ci_skew reading sources... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.ci_var reading sources... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.plot_contour reading sources... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.test_joint_skew_kurt reading sources... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.test_kurt reading sources... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.test_mean reading sources... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.test_skew reading sources... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.test_var reading sources... [ 23%] generated/statsmodels.formula.api.conditional_logit reading sources... [ 23%] generated/statsmodels.formula.api.conditional_mnlogit reading sources... [ 23%] generated/statsmodels.formula.api.conditional_poisson reading sources... [ 23%] generated/statsmodels.formula.api.gee reading sources... [ 23%] generated/statsmodels.formula.api.glm reading sources... [ 23%] generated/statsmodels.formula.api.glmgam reading sources... [ 23%] generated/statsmodels.formula.api.gls reading sources... [ 23%] generated/statsmodels.formula.api.glsar reading sources... [ 23%] generated/statsmodels.formula.api.logit reading sources... [ 23%] generated/statsmodels.formula.api.mixedlm reading sources... [ 23%] generated/statsmodels.formula.api.mnlogit reading sources... [ 23%] generated/statsmodels.formula.api.negativebinomial reading sources... [ 23%] generated/statsmodels.formula.api.nominal_gee reading sources... [ 23%] generated/statsmodels.formula.api.ols reading sources... [ 23%] generated/statsmodels.formula.api.ordinal_gee reading sources... [ 23%] generated/statsmodels.formula.api.phreg reading sources... [ 23%] generated/statsmodels.formula.api.poisson reading sources... [ 23%] generated/statsmodels.formula.api.probit reading sources... [ 23%] generated/statsmodels.formula.api.quantreg reading sources... [ 23%] generated/statsmodels.formula.api.rlm reading sources... [ 23%] generated/statsmodels.formula.api.wls reading sources... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam reading sources... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.endog_names reading sources... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.estimate_scale reading sources... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.estimate_tweedie_power reading sources... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.exog_names reading sources... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.fit reading sources... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.fit_constrained reading sources... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.fit_regularized reading sources... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.from_formula reading sources... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.get_distribution reading sources... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.hessian reading sources... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.hessian_factor reading sources... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.hessian_numdiff reading sources... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.information reading sources... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.initialize reading sources... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.loglike reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.loglike_mu reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.loglikeobs reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.predict reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.score reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.score_factor reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.score_numdiff reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.score_obs reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.score_test reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.select_penweight reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.select_penweight_kfold reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.aic reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.bic reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.bic_deviance reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.bic_llf reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.bse reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.conf_int reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.cov_params reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.cv reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.deviance reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.edf reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.f_test reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.fittedvalues reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.gcv reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.get_distribution reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.get_hat_matrix_diag reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.get_influence reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.get_margeff reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.get_prediction reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.hat_matrix_diag reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.hat_matrix_trace reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.info_criteria reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.initialize reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.llf reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.llf_scaled reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.llnull reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.load reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.mu reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.normalized_cov_params reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.null reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.null_deviance reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.partial_values reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.pearson_chi2 reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.plot_added_variable reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.plot_ceres_residuals reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.plot_partial reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.plot_partial_residuals reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.predict reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.pseudo_rsquared reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.pvalues reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.remove_data reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.resid_anscombe reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.resid_anscombe_scaled reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.resid_anscombe_unscaled reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.resid_deviance reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.resid_pearson reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.resid_response reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.resid_working reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.save reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.score_test reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.summary reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.summary2 reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.t_test reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.t_test_pairwise reading sources... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.test_significance reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.tvalues reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.use_t reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.wald_test reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.wald_test_terms reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.cdf reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.cov_params_func_l1 reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.endog_names reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.exog_names reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.family reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.fit reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.fit_constrained reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.fit_regularized reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.from_formula reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.get_distribution reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.hessian reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.hessian_factor reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.hessian_numdiff reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.information reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.initialize reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.link reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.loglike reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.loglikeobs reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.pdf reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.predict reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.score reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.score_factor reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.score_numdiff reading sources... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.score_obs reading sources... [ 25%] generated/statsmodels.gam.smooth_basis.BSplines reading sources... [ 25%] generated/statsmodels.gam.smooth_basis.BSplines.transform reading sources... [ 25%] generated/statsmodels.gam.smooth_basis.CyclicCubicSplines reading sources... [ 25%] generated/statsmodels.gam.smooth_basis.CyclicCubicSplines.transform reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BayesMixedGLMResults reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BayesMixedGLMResults.cov_params reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BayesMixedGLMResults.predict reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BayesMixedGLMResults.random_effects reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BayesMixedGLMResults.summary reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.endog_names reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.exog_names reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.fit reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.fit_map reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.fit_vb reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.from_formula reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.logposterior reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.logposterior_grad reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.predict reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.rng reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.vb_elbo reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.vb_elbo_base reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.vb_elbo_grad reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.vb_elbo_grad_base reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.verbose reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.endog_names reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.exog_names reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.fit reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.fit_map reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.fit_vb reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.from_formula reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.logposterior reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.logposterior_grad reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.predict reading sources... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.rng reading sources... [ 26%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.vb_elbo reading sources... [ 26%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.vb_elbo_base reading sources... [ 26%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.vb_elbo_grad reading sources... [ 26%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.vb_elbo_grad_base reading sources... [ 26%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.verbose reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Autoregressive reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Autoregressive.covariance_matrix reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Autoregressive.covariance_matrix_solve reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Autoregressive.initialize reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Autoregressive.summary reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Autoregressive.update reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.CovStruct reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.CovStruct.covariance_matrix reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.CovStruct.covariance_matrix_solve reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.CovStruct.initialize reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.CovStruct.summary reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.CovStruct.update reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Exchangeable reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Exchangeable.covariance_matrix reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Exchangeable.covariance_matrix_solve reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Exchangeable.initialize reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Exchangeable.summary reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Exchangeable.update reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio.covariance_matrix reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio.covariance_matrix_solve reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio.get_eyy reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio.initialize reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio.observed_crude_oddsratio reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio.pooled_odds_ratio reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio.summary reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio.update reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Independence reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Independence.covariance_matrix reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Independence.covariance_matrix_solve reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Independence.initialize reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Independence.summary reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Independence.update reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Nested reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Nested.covariance_matrix reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Nested.covariance_matrix_solve reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Nested.initialize reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Nested.summary reading sources... [ 26%] generated/statsmodels.genmod.cov_struct.Nested.update reading sources... [ 26%] generated/statsmodels.genmod.families.family.Binomial reading sources... [ 26%] generated/statsmodels.genmod.families.family.Binomial.deviance reading sources... [ 26%] generated/statsmodels.genmod.families.family.Binomial.fitted reading sources... [ 26%] generated/statsmodels.genmod.families.family.Binomial.get_distribution reading sources... [ 26%] generated/statsmodels.genmod.families.family.Binomial.initialize reading sources... [ 26%] generated/statsmodels.genmod.families.family.Binomial.link reading sources... [ 26%] generated/statsmodels.genmod.families.family.Binomial.links reading sources... [ 26%] generated/statsmodels.genmod.families.family.Binomial.loglike reading sources... [ 26%] generated/statsmodels.genmod.families.family.Binomial.loglike_obs reading sources... [ 26%] generated/statsmodels.genmod.families.family.Binomial.predict reading sources... [ 26%] generated/statsmodels.genmod.families.family.Binomial.resid_anscombe reading sources... [ 26%] generated/statsmodels.genmod.families.family.Binomial.resid_dev reading sources... [ 26%] generated/statsmodels.genmod.families.family.Binomial.safe_links reading sources... [ 26%] generated/statsmodels.genmod.families.family.Binomial.starting_mu reading sources... [ 26%] generated/statsmodels.genmod.families.family.Binomial.valid reading sources... [ 26%] generated/statsmodels.genmod.families.family.Binomial.variance reading sources... [ 26%] generated/statsmodels.genmod.families.family.Binomial.weights reading sources... [ 26%] generated/statsmodels.genmod.families.family.Family reading sources... [ 26%] generated/statsmodels.genmod.families.family.Family.deviance reading sources... [ 26%] generated/statsmodels.genmod.families.family.Family.fitted reading sources... [ 27%] generated/statsmodels.genmod.families.family.Family.link reading sources... [ 27%] generated/statsmodels.genmod.families.family.Family.links reading sources... [ 27%] generated/statsmodels.genmod.families.family.Family.loglike reading sources... [ 27%] generated/statsmodels.genmod.families.family.Family.loglike_obs reading sources... [ 27%] generated/statsmodels.genmod.families.family.Family.predict reading sources... [ 27%] generated/statsmodels.genmod.families.family.Family.resid_anscombe reading sources... [ 27%] generated/statsmodels.genmod.families.family.Family.resid_dev reading sources... [ 27%] generated/statsmodels.genmod.families.family.Family.starting_mu reading sources... [ 27%] generated/statsmodels.genmod.families.family.Family.valid reading sources... [ 27%] generated/statsmodels.genmod.families.family.Family.weights reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gamma reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gamma.deviance reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gamma.fitted reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gamma.get_distribution reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gamma.link reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gamma.links reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gamma.loglike reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gamma.loglike_obs reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gamma.predict reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gamma.resid_anscombe reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gamma.resid_dev reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gamma.safe_links reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gamma.starting_mu reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gamma.valid reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gamma.variance reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gamma.weights reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gaussian reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.deviance reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.fitted reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.get_distribution reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.link reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.links reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.loglike reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.loglike_obs reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.predict reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.resid_anscombe reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.resid_dev reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.safe_links reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.starting_mu reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.valid reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.variance reading sources... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.weights reading sources... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian reading sources... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.deviance reading sources... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.fitted reading sources... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.get_distribution reading sources... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.link reading sources... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.links reading sources... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.loglike reading sources... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.loglike_obs reading sources... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.predict reading sources... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.resid_anscombe reading sources... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.resid_dev reading sources... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.safe_links reading sources... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.starting_mu reading sources... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.valid reading sources... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.variance reading sources... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.weights reading sources... [ 27%] generated/statsmodels.genmod.families.family.NegativeBinomial reading sources... [ 27%] generated/statsmodels.genmod.families.family.NegativeBinomial.deviance reading sources... [ 27%] generated/statsmodels.genmod.families.family.NegativeBinomial.fitted reading sources... [ 27%] generated/statsmodels.genmod.families.family.NegativeBinomial.get_distribution reading sources... [ 27%] generated/statsmodels.genmod.families.family.NegativeBinomial.link reading sources... [ 27%] generated/statsmodels.genmod.families.family.NegativeBinomial.links reading sources... [ 27%] generated/statsmodels.genmod.families.family.NegativeBinomial.loglike reading sources... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.loglike_obs reading sources... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.predict reading sources... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.resid_anscombe reading sources... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.resid_dev reading sources... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.safe_links reading sources... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.starting_mu reading sources... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.valid reading sources... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.variance reading sources... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.weights reading sources... [ 28%] generated/statsmodels.genmod.families.family.Poisson reading sources... [ 28%] generated/statsmodels.genmod.families.family.Poisson.deviance reading sources... [ 28%] generated/statsmodels.genmod.families.family.Poisson.fitted reading sources... [ 28%] generated/statsmodels.genmod.families.family.Poisson.get_distribution reading sources... [ 28%] generated/statsmodels.genmod.families.family.Poisson.link reading sources... [ 28%] generated/statsmodels.genmod.families.family.Poisson.links reading sources... [ 28%] generated/statsmodels.genmod.families.family.Poisson.loglike reading sources... [ 28%] generated/statsmodels.genmod.families.family.Poisson.loglike_obs reading sources... [ 28%] generated/statsmodels.genmod.families.family.Poisson.predict reading sources... [ 28%] generated/statsmodels.genmod.families.family.Poisson.resid_anscombe reading sources... [ 28%] generated/statsmodels.genmod.families.family.Poisson.resid_dev reading sources... [ 28%] generated/statsmodels.genmod.families.family.Poisson.safe_links reading sources... [ 28%] generated/statsmodels.genmod.families.family.Poisson.starting_mu reading sources... [ 28%] generated/statsmodels.genmod.families.family.Poisson.valid reading sources... [ 28%] generated/statsmodels.genmod.families.family.Poisson.variance reading sources... [ 28%] generated/statsmodels.genmod.families.family.Poisson.weights reading sources... [ 28%] generated/statsmodels.genmod.families.family.Tweedie reading sources... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.deviance reading sources... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.fitted reading sources... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.link reading sources... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.links reading sources... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.loglike reading sources... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.loglike_obs reading sources... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.predict reading sources... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.resid_anscombe reading sources... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.resid_dev reading sources... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.safe_links reading sources... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.starting_mu reading sources... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.valid reading sources... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.variance reading sources... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.weights reading sources... [ 28%] generated/statsmodels.genmod.families.links.CDFLink reading sources... [ 28%] generated/statsmodels.genmod.families.links.CDFLink.deriv reading sources... [ 28%] generated/statsmodels.genmod.families.links.CDFLink.deriv2 reading sources... [ 28%] generated/statsmodels.genmod.families.links.CDFLink.deriv2_numdiff reading sources... [ 28%] generated/statsmodels.genmod.families.links.CDFLink.inverse reading sources... [ 28%] generated/statsmodels.genmod.families.links.CDFLink.inverse_deriv reading sources... [ 28%] generated/statsmodels.genmod.families.links.CDFLink.inverse_deriv2 reading sources... [ 28%] generated/statsmodels.genmod.families.links.CLogLog reading sources... [ 28%] generated/statsmodels.genmod.families.links.CLogLog.deriv reading sources... [ 28%] generated/statsmodels.genmod.families.links.CLogLog.deriv2 reading sources... [ 28%] generated/statsmodels.genmod.families.links.CLogLog.inverse reading sources... [ 28%] generated/statsmodels.genmod.families.links.CLogLog.inverse_deriv reading sources... [ 28%] generated/statsmodels.genmod.families.links.CLogLog.inverse_deriv2 reading sources... [ 28%] generated/statsmodels.genmod.families.links.Cauchy reading sources... [ 28%] generated/statsmodels.genmod.families.links.Cauchy.deriv reading sources... [ 28%] generated/statsmodels.genmod.families.links.Cauchy.deriv2 reading sources... [ 28%] generated/statsmodels.genmod.families.links.Cauchy.deriv2_numdiff reading sources... [ 28%] generated/statsmodels.genmod.families.links.Cauchy.inverse reading sources... [ 28%] generated/statsmodels.genmod.families.links.Cauchy.inverse_deriv reading sources... [ 28%] generated/statsmodels.genmod.families.links.Cauchy.inverse_deriv2 reading sources... [ 28%] generated/statsmodels.genmod.families.links.Identity reading sources... [ 28%] generated/statsmodels.genmod.families.links.Identity.deriv reading sources... [ 28%] generated/statsmodels.genmod.families.links.Identity.deriv2 reading sources... [ 28%] generated/statsmodels.genmod.families.links.Identity.inverse reading sources... [ 28%] generated/statsmodels.genmod.families.links.Identity.inverse_deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.Identity.inverse_deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.InversePower reading sources... [ 29%] generated/statsmodels.genmod.families.links.InversePower.deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.InversePower.deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.InversePower.inverse reading sources... [ 29%] generated/statsmodels.genmod.families.links.InversePower.inverse_deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.InversePower.inverse_deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.InverseSquared reading sources... [ 29%] generated/statsmodels.genmod.families.links.InverseSquared.deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.InverseSquared.deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.InverseSquared.inverse reading sources... [ 29%] generated/statsmodels.genmod.families.links.InverseSquared.inverse_deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.InverseSquared.inverse_deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.Link reading sources... [ 29%] generated/statsmodels.genmod.families.links.Link.deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.Link.deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.Link.inverse reading sources... [ 29%] generated/statsmodels.genmod.families.links.Link.inverse_deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.Link.inverse_deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.Log reading sources... [ 29%] generated/statsmodels.genmod.families.links.Log.deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.Log.deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.Log.inverse reading sources... [ 29%] generated/statsmodels.genmod.families.links.Log.inverse_deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.Log.inverse_deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.LogC reading sources... [ 29%] generated/statsmodels.genmod.families.links.LogC.deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.LogC.deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.LogC.inverse reading sources... [ 29%] generated/statsmodels.genmod.families.links.LogC.inverse_deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.LogC.inverse_deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.LogLog reading sources... [ 29%] generated/statsmodels.genmod.families.links.LogLog.deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.LogLog.deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.LogLog.inverse reading sources... [ 29%] generated/statsmodels.genmod.families.links.LogLog.inverse_deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.LogLog.inverse_deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.Logit reading sources... [ 29%] generated/statsmodels.genmod.families.links.Logit.deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.Logit.deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.Logit.inverse reading sources... [ 29%] generated/statsmodels.genmod.families.links.Logit.inverse_deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.Logit.inverse_deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.NegativeBinomial reading sources... [ 29%] generated/statsmodels.genmod.families.links.NegativeBinomial.deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.NegativeBinomial.deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.NegativeBinomial.inverse reading sources... [ 29%] generated/statsmodels.genmod.families.links.NegativeBinomial.inverse_deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.NegativeBinomial.inverse_deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.Power reading sources... [ 29%] generated/statsmodels.genmod.families.links.Power.deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.Power.deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.Power.inverse reading sources... [ 29%] generated/statsmodels.genmod.families.links.Power.inverse_deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.Power.inverse_deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.Probit reading sources... [ 29%] generated/statsmodels.genmod.families.links.Probit.deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.Probit.deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.links.Probit.deriv2_numdiff reading sources... [ 29%] generated/statsmodels.genmod.families.links.Probit.inverse reading sources... [ 29%] generated/statsmodels.genmod.families.links.Probit.inverse_deriv reading sources... [ 29%] generated/statsmodels.genmod.families.links.Probit.inverse_deriv2 reading sources... [ 29%] generated/statsmodels.genmod.families.varfuncs.Binomial reading sources... [ 29%] generated/statsmodels.genmod.families.varfuncs.Binomial.deriv reading sources... [ 30%] generated/statsmodels.genmod.families.varfuncs.NegativeBinomial reading sources... [ 30%] generated/statsmodels.genmod.families.varfuncs.NegativeBinomial.deriv reading sources... [ 30%] generated/statsmodels.genmod.families.varfuncs.Power reading sources... [ 30%] generated/statsmodels.genmod.families.varfuncs.Power.deriv reading sources... [ 30%] generated/statsmodels.genmod.families.varfuncs.VarianceFunction reading sources... [ 30%] generated/statsmodels.genmod.families.varfuncs.VarianceFunction.deriv reading sources... [ 30%] generated/statsmodels.genmod.families.varfuncs.binary reading sources... [ 30%] generated/statsmodels.genmod.families.varfuncs.constant reading sources... [ 30%] generated/statsmodels.genmod.families.varfuncs.mu reading sources... [ 30%] generated/statsmodels.genmod.families.varfuncs.mu_cubed reading sources... [ 30%] generated/statsmodels.genmod.families.varfuncs.mu_squared reading sources... [ 30%] generated/statsmodels.genmod.families.varfuncs.nbinom reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.cached_means reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.cluster_list reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.compare_score_test reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.endog_names reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.estimate_scale reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.estimate_tweedie_power reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.exog_names reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.fit reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.fit_constrained reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.fit_regularized reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.from_formula reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.get_distribution reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.hessian reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.hessian_factor reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.information reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.initialize reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.loglike reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.loglike_mu reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.mean_deriv reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.mean_deriv_exog reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.predict reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.qic reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.score reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.score_factor reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.score_obs reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.score_test reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.update_cached_means reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEMargins reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEMargins.conf_int reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEMargins.get_margeff reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEMargins.pvalues reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEMargins.summary reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEMargins.summary_frame reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEMargins.tvalues reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.aic reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.bic reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.bic_deviance reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.bic_llf reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.bse reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.centered_resid reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.conf_int reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.cov_params reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.deviance reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.f_test reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.fittedvalues reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.get_distribution reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.get_hat_matrix_diag reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.get_influence reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.get_margeff reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.get_prediction reading sources... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.info_criteria reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.initialize reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.llf reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.llf_scaled reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.llnull reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.load reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.mu reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.normalized_cov_params reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.null reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.null_deviance reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.params_sensitivity reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.pearson_chi2 reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.plot_added_variable reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.plot_ceres_residuals reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.plot_isotropic_dependence reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.plot_partial_residuals reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.predict reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.pseudo_rsquared reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.pvalues reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.qic reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.remove_data reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_anscombe reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_anscombe_scaled reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_anscombe_unscaled reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_centered reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_centered_split reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_deviance reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_pearson reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_response reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_split reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_working reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.save reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.score_test reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.sensitivity_params reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.split_centered_resid reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.split_resid reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.standard_errors reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.summary reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.summary2 reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.t_test reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.t_test_pairwise reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.tvalues reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.use_t reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.wald_test reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.wald_test_terms reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.cached_means reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.cluster_list reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.compare_score_test reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.endog_names reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.estimate_scale reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.estimate_tweedie_power reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.exog_names reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.fit reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.fit_constrained reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.fit_regularized reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.from_formula reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.get_distribution reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.hessian reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.hessian_factor reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.information reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.initialize reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.loglike reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.loglike_mu reading sources... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.mean_deriv reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.mean_deriv_exog reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.predict reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.qic reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.score reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.score_factor reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.score_obs reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.score_test reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.setup_nominal reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.update_cached_means reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.cached_means reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.cluster_list reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.compare_score_test reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.endog_names reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.estimate_scale reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.estimate_tweedie_power reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.exog_names reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.fit reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.fit_constrained reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.fit_regularized reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.from_formula reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.get_distribution reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.hessian reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.hessian_factor reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.information reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.initialize reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.loglike reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.loglike_mu reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.mean_deriv reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.mean_deriv_exog reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.predict reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.qic reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.score reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.score_factor reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.score_obs reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.score_test reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.setup_ordinal reading sources... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.update_cached_means reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.endog_names reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.estimate_scale reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.estimate_tweedie_power reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.exog_names reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.fit reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.fit_constrained reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.fit_regularized reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.from_formula reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.get_distribution reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.hessian reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.hessian_factor reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.information reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.initialize reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.loglike reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.loglike_mu reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.predict reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.score reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.score_factor reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.score_obs reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.score_test reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLMResults reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.aic reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.bic reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.bic_deviance reading sources... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.bic_llf reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.bse reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.conf_int reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.cov_params reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.deviance reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.f_test reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.fittedvalues reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.get_distribution reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.get_hat_matrix_diag reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.get_influence reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.get_margeff reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.get_prediction reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.info_criteria reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.initialize reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.llf reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.llf_scaled reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.llnull reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.load reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.mu reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.normalized_cov_params reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.null reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.null_deviance reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.pearson_chi2 reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.plot_added_variable reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.plot_ceres_residuals reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.plot_partial_residuals reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.predict reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.pseudo_rsquared reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.pvalues reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.remove_data reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.resid_anscombe reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.resid_anscombe_scaled reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.resid_anscombe_unscaled reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.resid_deviance reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.resid_pearson reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.resid_response reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.resid_working reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.save reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.score_test reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.summary reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.summary2 reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.t_test reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.t_test_pairwise reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.tvalues reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.use_t reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.wald_test reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.wald_test_terms reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean.conf_int reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean.predicted_mean reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean.se reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean.se_mean reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean.summary_frame reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean.t_test reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean.tvalues reading sources... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean.var_pred_mean reading sources... [ 33%] generated/statsmodels.genmod.qif.QIF reading sources... [ 33%] generated/statsmodels.genmod.qif.QIF.endog_names reading sources... [ 33%] generated/statsmodels.genmod.qif.QIF.estimate_scale reading sources... [ 33%] generated/statsmodels.genmod.qif.QIF.exog_names reading sources... [ 33%] generated/statsmodels.genmod.qif.QIF.fit reading sources... [ 33%] generated/statsmodels.genmod.qif.QIF.from_formula reading sources... [ 33%] generated/statsmodels.genmod.qif.QIF.objective reading sources... [ 33%] generated/statsmodels.genmod.qif.QIF.predict reading sources... [ 33%] generated/statsmodels.genmod.qif.QIFResults reading sources... [ 33%] generated/statsmodels.genmod.qif.QIFResults.aic reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.bic reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.bse reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.conf_int reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.cov_params reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.f_test reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.fittedvalues reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.initialize reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.llf reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.load reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.normalized_cov_params reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.predict reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.pvalues reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.remove_data reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.save reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.summary reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.t_test reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.t_test_pairwise reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.tvalues reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.use_t reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.wald_test reading sources... [ 34%] generated/statsmodels.genmod.qif.QIFResults.wald_test_terms reading sources... [ 34%] generated/statsmodels.graphics.agreement.mean_diff_plot reading sources... [ 34%] generated/statsmodels.graphics.boxplots.beanplot reading sources... [ 34%] generated/statsmodels.graphics.boxplots.violinplot reading sources... [ 34%] generated/statsmodels.graphics.correlation.plot_corr reading sources... [ 34%] generated/statsmodels.graphics.correlation.plot_corr_grid reading sources... [ 34%] generated/statsmodels.graphics.dotplots.dot_plot reading sources... [ 34%] generated/statsmodels.graphics.factorplots.interaction_plot reading sources... [ 34%] generated/statsmodels.graphics.functional.banddepth reading sources... [ 34%] generated/statsmodels.graphics.functional.fboxplot reading sources... [ 34%] generated/statsmodels.graphics.functional.hdrboxplot reading sources... [ 34%] generated/statsmodels.graphics.functional.rainbowplot reading sources... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot reading sources... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot.ppplot reading sources... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot.probplot reading sources... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot.qqplot reading sources... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot.sample_percentiles reading sources... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot.sample_quantiles reading sources... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot.sorted_data reading sources... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot.theoretical_percentiles reading sources... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot.theoretical_quantiles reading sources... [ 34%] generated/statsmodels.graphics.gofplots.qqline reading sources... [ 34%] generated/statsmodels.graphics.gofplots.qqplot reading sources... [ 34%] generated/statsmodels.graphics.gofplots.qqplot_2samples reading sources... [ 34%] generated/statsmodels.graphics.mosaicplot.mosaic reading sources... [ 34%] generated/statsmodels.graphics.plot_grids.scatter_ellipse reading sources... [ 34%] generated/statsmodels.graphics.regressionplots.abline_plot reading sources... [ 34%] generated/statsmodels.graphics.regressionplots.influence_plot reading sources... [ 34%] generated/statsmodels.graphics.regressionplots.plot_ccpr reading sources... [ 34%] generated/statsmodels.graphics.regressionplots.plot_ccpr_grid reading sources... [ 34%] generated/statsmodels.graphics.regressionplots.plot_ceres_residuals reading sources... [ 34%] generated/statsmodels.graphics.regressionplots.plot_fit reading sources... [ 34%] generated/statsmodels.graphics.regressionplots.plot_leverage_resid2 reading sources... [ 34%] generated/statsmodels.graphics.regressionplots.plot_partregress reading sources... [ 34%] generated/statsmodels.graphics.regressionplots.plot_partregress_grid reading sources... [ 34%] generated/statsmodels.graphics.regressionplots.plot_regress_exog reading sources... [ 34%] generated/statsmodels.graphics.tsaplots.month_plot :8: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. reading sources... [ 34%] generated/statsmodels.graphics.tsaplots.plot_accf_grid reading sources... [ 34%] generated/statsmodels.graphics.tsaplots.plot_acf reading sources... [ 34%] generated/statsmodels.graphics.tsaplots.plot_ccf reading sources... [ 34%] generated/statsmodels.graphics.tsaplots.plot_pacf reading sources... [ 34%] generated/statsmodels.graphics.tsaplots.quarter_plot :8: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. reading sources... [ 34%] generated/statsmodels.imputation.bayes_mi.BayesGaussMI reading sources... [ 34%] generated/statsmodels.imputation.bayes_mi.BayesGaussMI.update reading sources... [ 34%] generated/statsmodels.imputation.bayes_mi.BayesGaussMI.update_cov reading sources... [ 35%] generated/statsmodels.imputation.bayes_mi.BayesGaussMI.update_data reading sources... [ 35%] generated/statsmodels.imputation.bayes_mi.BayesGaussMI.update_mean reading sources... [ 35%] generated/statsmodels.imputation.bayes_mi.MI reading sources... [ 35%] generated/statsmodels.imputation.bayes_mi.MI.fit reading sources... [ 35%] generated/statsmodels.imputation.mice.MICE reading sources... [ 35%] generated/statsmodels.imputation.mice.MICE.combine reading sources... [ 35%] generated/statsmodels.imputation.mice.MICE.fit reading sources... [ 35%] generated/statsmodels.imputation.mice.MICE.next_sample reading sources... [ 35%] generated/statsmodels.imputation.mice.MICEData reading sources... [ 35%] generated/statsmodels.imputation.mice.MICEData.get_fitting_data reading sources... [ 35%] generated/statsmodels.imputation.mice.MICEData.get_split_data reading sources... [ 35%] generated/statsmodels.imputation.mice.MICEData.impute reading sources... [ 35%] generated/statsmodels.imputation.mice.MICEData.impute_pmm reading sources... [ 35%] generated/statsmodels.imputation.mice.MICEData.next_sample reading sources... [ 35%] generated/statsmodels.imputation.mice.MICEData.perturb_params reading sources... [ 35%] generated/statsmodels.imputation.mice.MICEData.plot_bivariate reading sources... [ 35%] generated/statsmodels.imputation.mice.MICEData.plot_fit_obs reading sources... [ 35%] generated/statsmodels.imputation.mice.MICEData.plot_imputed_hist reading sources... [ 35%] generated/statsmodels.imputation.mice.MICEData.plot_missing_pattern reading sources... [ 35%] generated/statsmodels.imputation.mice.MICEData.set_imputer reading sources... [ 35%] generated/statsmodels.imputation.mice.MICEData.update reading sources... [ 35%] generated/statsmodels.imputation.mice.MICEData.update_all reading sources... [ 35%] generated/statsmodels.iolib.foreign.savetxt reading sources... [ 35%] generated/statsmodels.iolib.smpickle.load_pickle reading sources... [ 35%] generated/statsmodels.iolib.smpickle.save_pickle reading sources... [ 35%] generated/statsmodels.iolib.summary.Summary reading sources... [ 35%] generated/statsmodels.iolib.summary.Summary.add_extra_txt reading sources... [ 35%] generated/statsmodels.iolib.summary.Summary.add_table_2cols reading sources... [ 35%] generated/statsmodels.iolib.summary.Summary.add_table_params reading sources... [ 35%] generated/statsmodels.iolib.summary.Summary.as_csv reading sources... [ 35%] generated/statsmodels.iolib.summary.Summary.as_html reading sources... [ 35%] generated/statsmodels.iolib.summary.Summary.as_latex reading sources... [ 35%] generated/statsmodels.iolib.summary.Summary.as_text reading sources... [ 35%] generated/statsmodels.iolib.summary2.Summary reading sources... [ 35%] generated/statsmodels.iolib.summary2.Summary.add_array reading sources... [ 35%] generated/statsmodels.iolib.summary2.Summary.add_base reading sources... [ 35%] generated/statsmodels.iolib.summary2.Summary.add_df reading sources... [ 35%] generated/statsmodels.iolib.summary2.Summary.add_dict reading sources... [ 35%] generated/statsmodels.iolib.summary2.Summary.add_text reading sources... [ 35%] generated/statsmodels.iolib.summary2.Summary.add_title reading sources... [ 35%] generated/statsmodels.iolib.summary2.Summary.as_html reading sources... [ 35%] generated/statsmodels.iolib.summary2.Summary.as_latex reading sources... [ 35%] generated/statsmodels.iolib.summary2.Summary.as_text reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.append reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.as_csv reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.as_html reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.as_latex_tabular reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.as_text reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.clear reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.copy reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.count reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.data reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.extend reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.extend_right reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.get_colwidths reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.index reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.insert reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.insert_header_row reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.insert_stubs reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.label_cells reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.pad reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.pop reading sources... [ 35%] generated/statsmodels.iolib.table.SimpleTable.remove reading sources... [ 36%] generated/statsmodels.iolib.table.SimpleTable.reverse reading sources... [ 36%] generated/statsmodels.iolib.table.SimpleTable.sort reading sources... [ 36%] generated/statsmodels.iolib.table.csv2st reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.endog_names reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.exog_names reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.expandparams reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.fit reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.from_formula reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.hessian reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.hessian_factor reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.information reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.initialize reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.loglike reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.loglikeobs reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.nloglike reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.nloglikeobs reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.predict reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.predict_distribution reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.reduceparams reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.score reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.score_obs reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.endog_names reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.exog_names reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.expandparams reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.fit reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.from_formula reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.hessian reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.hessian_factor reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.information reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.initialize reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.loglike reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.loglikeobs reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.nloglike reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.nloglikeobs reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.predict reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.reduceparams reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.score reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.score_obs reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.endog_names reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.exog_names reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.expandparams reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.fit reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.from_formula reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.hessian reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.hessian_factor reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.information reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.initialize reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.loglike reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.loglikeobs reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.nloglike reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.nloglikeobs reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.predict reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.reduceparams reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.score reading sources... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.score_obs reading sources... [ 36%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel reading sources... [ 36%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.cdf reading sources... [ 36%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.endog_names reading sources... [ 36%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.exog_names reading sources... [ 36%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.expandparams reading sources... [ 36%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.fit reading sources... [ 36%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.from_formula reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.hessian reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.hessian_factor reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.information reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.initialize reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.loglike reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.loglikeobs reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.nloglike reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.pdf reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.predict reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.prob reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.reduceparams reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.score reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.score_obs reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.score_obs_ reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.start_params reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.transform_reverse_threshold_params reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.transform_threshold_params reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.aic reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.bic reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.bootstrap reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.bse reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.bsejac reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.bsejhj reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.conf_int reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.cov_params reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.covjac reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.covjhj reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.df_modelwc reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.f_test reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.get_nlfun reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.get_prediction reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.hessv reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.initialize reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.llf reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.llnull reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.llr reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.llr_pvalue reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.load reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.normalized_cov_params reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.pred_table reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.predict reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.prsquared reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.pvalues reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.remove_data reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.resid_prob reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.save reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.score_obsv reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.summary reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.t_test reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.t_test_pairwise reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.tvalues reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.use_t reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.wald_test reading sources... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.wald_test_terms reading sources... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel reading sources... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.endog_names reading sources... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.exog_names reading sources... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.expandparams reading sources... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.fit reading sources... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.from_formula reading sources... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.hessian reading sources... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.hessian_factor reading sources... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.information reading sources... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.initialize reading sources... [ 38%] generated/statsmodels.miscmodels.tmodel.TLinearModel.loglike reading sources... [ 38%] generated/statsmodels.miscmodels.tmodel.TLinearModel.loglikeobs reading sources... [ 38%] generated/statsmodels.miscmodels.tmodel.TLinearModel.nloglike reading sources... [ 38%] generated/statsmodels.miscmodels.tmodel.TLinearModel.nloglikeobs reading sources... [ 38%] generated/statsmodels.miscmodels.tmodel.TLinearModel.predict reading sources... [ 38%] generated/statsmodels.miscmodels.tmodel.TLinearModel.reduceparams reading sources... [ 38%] generated/statsmodels.miscmodels.tmodel.TLinearModel.score reading sources... [ 38%] generated/statsmodels.miscmodels.tmodel.TLinearModel.score_obs reading sources... [ 38%] generated/statsmodels.multivariate.cancorr.CanCorr reading sources... [ 38%] generated/statsmodels.multivariate.cancorr.CanCorr.corr_test reading sources... [ 38%] generated/statsmodels.multivariate.cancorr.CanCorr.endog_names reading sources... [ 38%] generated/statsmodels.multivariate.cancorr.CanCorr.exog_names reading sources... [ 38%] generated/statsmodels.multivariate.cancorr.CanCorr.fit reading sources... [ 38%] generated/statsmodels.multivariate.cancorr.CanCorr.from_formula reading sources... [ 38%] generated/statsmodels.multivariate.cancorr.CanCorr.predict reading sources... [ 38%] generated/statsmodels.multivariate.factor.Factor reading sources... [ 38%] generated/statsmodels.multivariate.factor.Factor.endog_names reading sources... [ 38%] generated/statsmodels.multivariate.factor.Factor.exog_names reading sources... [ 38%] generated/statsmodels.multivariate.factor.Factor.fit reading sources... [ 38%] generated/statsmodels.multivariate.factor.Factor.from_formula reading sources... [ 38%] generated/statsmodels.multivariate.factor.Factor.loglike reading sources... [ 38%] generated/statsmodels.multivariate.factor.Factor.predict reading sources... [ 38%] generated/statsmodels.multivariate.factor.Factor.score reading sources... [ 38%] generated/statsmodels.multivariate.factor.FactorResults reading sources... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.factor_score_params reading sources... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.factor_scoring reading sources... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.fitted_cov reading sources... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.get_loadings_frame reading sources... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.load_stderr reading sources... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.plot_loadings reading sources... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.plot_scree reading sources... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.rotate reading sources... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.summary reading sources... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.uniq_stderr reading sources... [ 38%] generated/statsmodels.multivariate.factor_rotation.procrustes reading sources... [ 38%] generated/statsmodels.multivariate.factor_rotation.promax reading sources... [ 38%] generated/statsmodels.multivariate.factor_rotation.rotate_factors reading sources... [ 38%] generated/statsmodels.multivariate.factor_rotation.target_rotation reading sources... [ 38%] generated/statsmodels.multivariate.manova.MANOVA reading sources... [ 38%] generated/statsmodels.multivariate.manova.MANOVA.endog_names reading sources... [ 38%] generated/statsmodels.multivariate.manova.MANOVA.exog_names reading sources... [ 38%] generated/statsmodels.multivariate.manova.MANOVA.fit reading sources... [ 38%] generated/statsmodels.multivariate.manova.MANOVA.from_formula reading sources... [ 38%] generated/statsmodels.multivariate.manova.MANOVA.mv_test reading sources... [ 38%] generated/statsmodels.multivariate.manova.MANOVA.predict reading sources... [ 38%] generated/statsmodels.multivariate.multivariate_ols.MultivariateTestResults reading sources... [ 38%] generated/statsmodels.multivariate.multivariate_ols.MultivariateTestResults.summary reading sources... [ 38%] generated/statsmodels.multivariate.multivariate_ols.MultivariateTestResults.summary_frame reading sources... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLS reading sources... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLS.endog_names reading sources... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLS.exog_names reading sources... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLS.fit reading sources... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLS.from_formula reading sources... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLS.predict reading sources... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLSResults reading sources... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLSResults.mv_test reading sources... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLSResults.summary reading sources... [ 38%] generated/statsmodels.multivariate.pca.PCA reading sources... [ 38%] generated/statsmodels.multivariate.pca.PCA.plot_rsquare reading sources... [ 38%] generated/statsmodels.multivariate.pca.PCA.plot_scree reading sources... [ 38%] generated/statsmodels.multivariate.pca.PCA.project reading sources... [ 38%] generated/statsmodels.multivariate.pca.pca reading sources... [ 38%] generated/statsmodels.nonparametric.bandwidths.bw_scott reading sources... [ 38%] generated/statsmodels.nonparametric.bandwidths.bw_silverman reading sources... [ 39%] generated/statsmodels.nonparametric.bandwidths.select_bandwidth reading sources... [ 39%] generated/statsmodels.nonparametric.kde.KDEUnivariate reading sources... [ 39%] generated/statsmodels.nonparametric.kde.KDEUnivariate.cdf reading sources... [ 39%] generated/statsmodels.nonparametric.kde.KDEUnivariate.cumhazard reading sources... [ 39%] generated/statsmodels.nonparametric.kde.KDEUnivariate.entropy reading sources... [ 39%] generated/statsmodels.nonparametric.kde.KDEUnivariate.evaluate reading sources... [ 39%] generated/statsmodels.nonparametric.kde.KDEUnivariate.fit reading sources... [ 39%] generated/statsmodels.nonparametric.kde.KDEUnivariate.icdf reading sources... [ 39%] generated/statsmodels.nonparametric.kde.KDEUnivariate.sf reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_density.EstimatorSettings reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariate reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariate.cdf reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariate.imse reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariate.loo_likelihood reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariate.pdf reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariateConditional reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariateConditional.cdf reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariateConditional.imse reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariateConditional.loo_likelihood reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariateConditional.pdf reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelCensoredReg reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelCensoredReg.aic_hurvich reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelCensoredReg.censored reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelCensoredReg.cv_loo reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelCensoredReg.fit reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelCensoredReg.loo_likelihood reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelCensoredReg.r_squared reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelCensoredReg.sig_test reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelReg reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelReg.aic_hurvich reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelReg.cv_loo reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelReg.fit reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelReg.loo_likelihood reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelReg.r_squared reading sources... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelReg.sig_test reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.cdf_kernel_asym reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_beta reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_beta2 reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_bs reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_gamma reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_gamma2 reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_invgamma reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_invgauss reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_lognorm reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_recipinvgauss reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_weibull reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_beta reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_beta2 reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_bs reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_gamma reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_gamma2 reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_invgamma reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_invgauss reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_lognorm reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_recipinvgauss reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_weibull reading sources... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.pdf_kernel_asym reading sources... [ 39%] generated/statsmodels.nonparametric.smoothers_lowess.lowess reading sources... [ 39%] generated/statsmodels.othermod.betareg.BetaModel reading sources... [ 39%] generated/statsmodels.othermod.betareg.BetaModel.endog_names reading sources... [ 39%] generated/statsmodels.othermod.betareg.BetaModel.exog_names reading sources... [ 39%] generated/statsmodels.othermod.betareg.BetaModel.expandparams reading sources... [ 39%] generated/statsmodels.othermod.betareg.BetaModel.fit reading sources... [ 39%] generated/statsmodels.othermod.betareg.BetaModel.from_formula reading sources... [ 39%] generated/statsmodels.othermod.betareg.BetaModel.get_distribution reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.get_distribution_params reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.hessian reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.hessian_factor reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.information reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.initialize reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.loglike reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.loglikeobs reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.nloglike reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.predict reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.reduceparams reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.score reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.score_factor reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.score_hessian_factor reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.score_obs reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.aic reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.bic reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.bootstrap reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.bse reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.bsejac reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.bsejhj reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.conf_int reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.cov_params reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.covjac reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.covjhj reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.df_modelwc reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.f_test reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.fitted_precision reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.fittedvalues reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.get_distribution reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.get_distribution_params reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.get_influence reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.get_nlfun reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.get_prediction reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.hessv reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.initialize reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.llf reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.llnull reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.llr reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.llr_pvalue reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.load reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.normalized_cov_params reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.predict reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.prsquared reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.pseudo_rsquared reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.pvalues reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.remove_data reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.resid reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.resid_pearson reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.save reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.score_obsv reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.set_null_options reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.summary reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.t_test reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.t_test_pairwise reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.tvalues reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.use_t reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.wald_test reading sources... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.wald_test_terms reading sources... [ 40%] generated/statsmodels.regression.dimred.DimReductionResults reading sources... [ 40%] generated/statsmodels.regression.dimred.DimReductionResults.initialize reading sources... [ 40%] generated/statsmodels.regression.dimred.DimReductionResults.predict reading sources... [ 40%] generated/statsmodels.regression.dimred.DimReductionResults.summary reading sources... [ 40%] generated/statsmodels.regression.dimred.PrincipalHessianDirections reading sources... [ 40%] generated/statsmodels.regression.dimred.PrincipalHessianDirections.endog_names reading sources... [ 41%] generated/statsmodels.regression.dimred.PrincipalHessianDirections.exog_names reading sources... [ 41%] generated/statsmodels.regression.dimred.PrincipalHessianDirections.fit reading sources... [ 41%] generated/statsmodels.regression.dimred.PrincipalHessianDirections.from_formula reading sources... [ 41%] generated/statsmodels.regression.dimred.PrincipalHessianDirections.predict reading sources... [ 41%] generated/statsmodels.regression.dimred.SlicedAverageVarianceEstimation reading sources... [ 41%] generated/statsmodels.regression.dimred.SlicedAverageVarianceEstimation.endog_names reading sources... [ 41%] generated/statsmodels.regression.dimred.SlicedAverageVarianceEstimation.exog_names reading sources... [ 41%] generated/statsmodels.regression.dimred.SlicedAverageVarianceEstimation.fit reading sources... [ 41%] generated/statsmodels.regression.dimred.SlicedAverageVarianceEstimation.from_formula reading sources... [ 41%] generated/statsmodels.regression.dimred.SlicedAverageVarianceEstimation.predict reading sources... [ 41%] generated/statsmodels.regression.dimred.SlicedInverseReg reading sources... [ 41%] generated/statsmodels.regression.dimred.SlicedInverseReg.endog_names reading sources... [ 41%] generated/statsmodels.regression.dimred.SlicedInverseReg.exog_names reading sources... [ 41%] generated/statsmodels.regression.dimred.SlicedInverseReg.fit reading sources... [ 41%] generated/statsmodels.regression.dimred.SlicedInverseReg.fit_regularized reading sources... [ 41%] generated/statsmodels.regression.dimred.SlicedInverseReg.from_formula reading sources... [ 41%] generated/statsmodels.regression.dimred.SlicedInverseReg.predict reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLS reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLS.df_model reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLS.df_resid reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLS.endog_names reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLS.exog_names reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLS.fit reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLS.fit_regularized reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLS.from_formula reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLS.get_distribution reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLS.hessian reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLS.hessian_factor reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLS.information reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLS.initialize reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLS.loglike reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLS.predict reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLS.score reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLS.whiten reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.df_model reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.df_resid reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.endog_names reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.exog_names reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.fit reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.fit_regularized reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.from_formula reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.get_distribution reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.hessian reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.hessian_factor reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.information reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.initialize reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.iterative_fit reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.loglike reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.predict reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.score reading sources... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.whiten reading sources... [ 41%] generated/statsmodels.regression.linear_model.OLS reading sources... [ 41%] generated/statsmodels.regression.linear_model.OLS.df_model reading sources... [ 41%] generated/statsmodels.regression.linear_model.OLS.df_resid reading sources... [ 41%] generated/statsmodels.regression.linear_model.OLS.endog_names reading sources... [ 41%] generated/statsmodels.regression.linear_model.OLS.exog_names reading sources... [ 41%] generated/statsmodels.regression.linear_model.OLS.fit reading sources... [ 41%] generated/statsmodels.regression.linear_model.OLS.fit_regularized reading sources... [ 41%] generated/statsmodels.regression.linear_model.OLS.from_formula reading sources... [ 41%] generated/statsmodels.regression.linear_model.OLS.get_distribution reading sources... [ 41%] generated/statsmodels.regression.linear_model.OLS.hessian reading sources... [ 41%] generated/statsmodels.regression.linear_model.OLS.hessian_factor reading sources... [ 41%] generated/statsmodels.regression.linear_model.OLS.information reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLS.initialize reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLS.loglike reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLS.predict reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLS.score reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLS.whiten reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.HC0_se reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.HC1_se reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.HC2_se reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.HC3_se reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.aic reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.bic reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.bse reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.centered_tss reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.compare_f_test reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.compare_lm_test reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.compare_lr_test reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.condition_number reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.conf_int reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.conf_int_el reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.cov_HC0 reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.cov_HC1 reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.cov_HC2 reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.cov_HC3 reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.cov_params reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.eigenvals reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.el_test reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.ess reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.f_pvalue reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.f_test reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.fittedvalues reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.fvalue reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.get_influence reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.get_prediction reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.get_robustcov_results reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.info_criteria reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.initialize reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.llf reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.load reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.mse_model reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.mse_resid reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.mse_total reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.nobs reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.normalized_cov_params reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.outlier_test reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.predict reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.pvalues reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.remove_data reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.resid reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.resid_pearson reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.rsquared reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.rsquared_adj reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.save reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.scale reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.ssr reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.summary reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.summary2 reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.t_test reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.t_test_pairwise reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.tvalues reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.uncentered_tss reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.use_t reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.wald_test reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.wald_test_terms reading sources... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.wresid reading sources... [ 43%] generated/statsmodels.regression.linear_model.PredictionResults reading sources... [ 43%] generated/statsmodels.regression.linear_model.PredictionResults.conf_int reading sources... [ 43%] generated/statsmodels.regression.linear_model.PredictionResults.predicted_mean reading sources... [ 43%] generated/statsmodels.regression.linear_model.PredictionResults.se reading sources... [ 43%] generated/statsmodels.regression.linear_model.PredictionResults.se_mean reading sources... [ 43%] generated/statsmodels.regression.linear_model.PredictionResults.se_obs reading sources... [ 43%] generated/statsmodels.regression.linear_model.PredictionResults.summary_frame reading sources... [ 43%] generated/statsmodels.regression.linear_model.PredictionResults.var_pred_mean reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.HC0_se reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.HC1_se reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.HC2_se reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.HC3_se reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.aic reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.bic reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.bse reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.centered_tss reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.compare_f_test reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.compare_lm_test reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.compare_lr_test reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.condition_number reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.conf_int reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.cov_HC0 reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.cov_HC1 reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.cov_HC2 reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.cov_HC3 reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.cov_params reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.eigenvals reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.ess reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.f_pvalue reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.f_test reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.fittedvalues reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.fvalue reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.get_prediction reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.get_robustcov_results reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.info_criteria reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.initialize reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.llf reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.load reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.mse_model reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.mse_resid reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.mse_total reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.nobs reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.normalized_cov_params reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.predict reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.pvalues reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.remove_data reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.resid reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.resid_pearson reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.rsquared reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.rsquared_adj reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.save reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.scale reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.ssr reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.summary reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.summary2 reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.t_test reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.t_test_pairwise reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.tvalues reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.uncentered_tss reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.use_t reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.wald_test reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.wald_test_terms reading sources... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.wresid reading sources... [ 43%] generated/statsmodels.regression.linear_model.WLS reading sources... [ 44%] generated/statsmodels.regression.linear_model.WLS.df_model reading sources... [ 44%] generated/statsmodels.regression.linear_model.WLS.df_resid reading sources... [ 44%] generated/statsmodels.regression.linear_model.WLS.endog_names reading sources... [ 44%] generated/statsmodels.regression.linear_model.WLS.exog_names reading sources... [ 44%] generated/statsmodels.regression.linear_model.WLS.fit reading sources... [ 44%] generated/statsmodels.regression.linear_model.WLS.fit_regularized reading sources... [ 44%] generated/statsmodels.regression.linear_model.WLS.from_formula reading sources... [ 44%] generated/statsmodels.regression.linear_model.WLS.get_distribution reading sources... [ 44%] generated/statsmodels.regression.linear_model.WLS.hessian reading sources... [ 44%] generated/statsmodels.regression.linear_model.WLS.hessian_factor reading sources... [ 44%] generated/statsmodels.regression.linear_model.WLS.information reading sources... [ 44%] generated/statsmodels.regression.linear_model.WLS.initialize reading sources... [ 44%] generated/statsmodels.regression.linear_model.WLS.loglike reading sources... [ 44%] generated/statsmodels.regression.linear_model.WLS.predict reading sources... [ 44%] generated/statsmodels.regression.linear_model.WLS.score reading sources... [ 44%] generated/statsmodels.regression.linear_model.WLS.whiten reading sources... [ 44%] generated/statsmodels.regression.linear_model.burg reading sources... [ 44%] generated/statsmodels.regression.linear_model.yule_walker reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.endog_names reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.exog_names reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.fit reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.fit_regularized reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.from_formula reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.get_distribution reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.get_fe_params reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.get_scale reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.group_list reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.hessian reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.information reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.initialize reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.loglike reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.predict reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.score reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.score_full reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.score_sqrt reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.aic reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.bic reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.bootstrap reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.bse reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.bse_fe reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.bse_re reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.bsejac reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.bsejhj reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.conf_int reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.cov_params reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.covjac reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.covjhj reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.df_modelwc reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.f_test reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.fittedvalues reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.get_nlfun reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.hessv reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.initialize reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.llf reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.load reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.normalized_cov_params reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.predict reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.profile_re reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.pvalues reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.random_effects reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.random_effects_cov reading sources... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.remove_data reading sources... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.resid reading sources... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.save reading sources... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.score_obsv reading sources... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.summary reading sources... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.t_test reading sources... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.t_test_pairwise reading sources... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.tvalues reading sources... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.use_t reading sources... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.wald_test reading sources... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.wald_test_terms reading sources... [ 45%] generated/statsmodels.regression.process_regression.GaussianCovariance reading sources... [ 45%] generated/statsmodels.regression.process_regression.GaussianCovariance.get_cov reading sources... [ 45%] generated/statsmodels.regression.process_regression.GaussianCovariance.jac reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.covariance reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.endog_names reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.exog_names reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.fit reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.from_formula reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.hessian reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.information reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.initialize reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.loglike reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.predict reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.score reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.unpack reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.aic reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.bic reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.bootstrap reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.bse reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.bsejac reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.bsejhj reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.conf_int reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.cov_params reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.covariance reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.covariance_group reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.covjac reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.covjhj reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.df_modelwc reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.f_test reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.get_nlfun reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.get_prediction reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.hessv reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.initialize reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.llf reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.load reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.normalized_cov_params reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.predict reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.pvalues reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.remove_data reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.save reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.score_obsv reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.summary reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.t_test reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.t_test_pairwise reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.tvalues reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.use_t reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.wald_test reading sources... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.wald_test_terms reading sources... [ 45%] generated/statsmodels.regression.quantile_regression.QuantReg reading sources... [ 45%] generated/statsmodels.regression.quantile_regression.QuantReg.df_model reading sources... [ 45%] generated/statsmodels.regression.quantile_regression.QuantReg.df_resid reading sources... [ 45%] generated/statsmodels.regression.quantile_regression.QuantReg.endog_names reading sources... [ 45%] generated/statsmodels.regression.quantile_regression.QuantReg.exog_names reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.fit reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.from_formula reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.get_distribution reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.hessian reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.information reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.initialize reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.loglike reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.predict reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.score reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.whiten reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.HC0_se reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.HC1_se reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.HC2_se reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.HC3_se reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.aic reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.bic reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.bse reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.centered_tss reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.compare_f_test reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.compare_lm_test reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.compare_lr_test reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.condition_number reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.conf_int reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.cov_HC0 reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.cov_HC1 reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.cov_HC2 reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.cov_HC3 reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.cov_params reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.eigenvals reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.ess reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.f_pvalue reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.f_test reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.fittedvalues reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.fvalue reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.get_prediction reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.get_robustcov_results reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.info_criteria reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.initialize reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.llf reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.load reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.mse reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.mse_model reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.mse_resid reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.mse_total reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.nobs reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.normalized_cov_params reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.predict reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.prsquared reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.pvalues reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.remove_data reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.resid reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.resid_pearson reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.rsquared reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.rsquared_adj reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.save reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.scale reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.ssr reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.summary reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.summary2 reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.t_test reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.t_test_pairwise reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.tvalues reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.uncentered_tss reading sources... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.use_t reading sources... [ 47%] generated/statsmodels.regression.quantile_regression.QuantRegResults.wald_test reading sources... [ 47%] generated/statsmodels.regression.quantile_regression.QuantRegResults.wald_test_terms reading sources... [ 47%] generated/statsmodels.regression.quantile_regression.QuantRegResults.wresid reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.clone reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.endog_names reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.exog_names reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.filter reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.fit reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.fit_constrained reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.fix_params reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.from_formula reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.handle_params reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.hessian reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.impulse_responses reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.information reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.initial_variance reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.initialization reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.initialize reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.initialize_approximate_diffuse reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.initialize_known reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.initialize_statespace reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.initialize_stationary reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.loglike reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.loglikelihood_burn reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.loglikeobs reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.observed_information_matrix reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.opg_information_matrix reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.param_names reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.predict reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.prepare_data reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.score reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.score_obs reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.set_conserve_memory reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.set_filter_method reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.set_inversion_method reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.set_smoother_output reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.set_stability_method reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.simulate reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.simulation_smoother reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.smooth reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.start_params reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.state_names reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.tolerance reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.transform_jacobian reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.transform_params reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.untransform_params reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.update reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.aic reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.aicc reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.append reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.apply reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.bic reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.bse reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.centered_tss reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.conf_int reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cov_params reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cov_params_approx reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cov_params_oim reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cov_params_opg reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cov_params_robust reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cov_params_robust_approx reading sources... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cov_params_robust_oim reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cusum reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cusum_squares reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.ess reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.extend reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.f_test reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.fittedvalues reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.forecast reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.get_forecast reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.get_prediction reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.get_smoothed_decomposition reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.hqic reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.impulse_responses reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.info_criteria reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.initialize reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.llf reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.llf_obs reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.llf_recursive reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.llf_recursive_obs reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.load reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.loglikelihood_burn reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.mae reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.mse reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.mse_model reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.mse_resid reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.mse_total reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.news reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.normalized_cov_params reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.plot_cusum reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.plot_cusum_squares reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.plot_diagnostics reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.plot_recursive_coefficient reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.predict reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.pvalues reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.recursive_coefficients reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.remove_data reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.resid reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.resid_recursive reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.rsquared reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.save reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.simulate reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.sse reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.ssr reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.states reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.summary reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.t_test reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.t_test_pairwise reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.test_heteroskedasticity reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.test_normality reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.test_serial_correlation reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.tvalues reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.uncentered_tss reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.use_t reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.wald_test reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.wald_test_terms reading sources... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.zvalues reading sources... [ 48%] generated/statsmodels.regression.rolling.RollingOLS reading sources... [ 48%] generated/statsmodels.regression.rolling.RollingOLS.fit reading sources... [ 48%] generated/statsmodels.regression.rolling.RollingOLS.from_formula reading sources... [ 48%] generated/statsmodels.regression.rolling.RollingRegressionResults reading sources... [ 48%] generated/statsmodels.regression.rolling.RollingRegressionResults.aic reading sources... [ 48%] generated/statsmodels.regression.rolling.RollingRegressionResults.bic reading sources... [ 48%] generated/statsmodels.regression.rolling.RollingRegressionResults.bse reading sources... [ 48%] generated/statsmodels.regression.rolling.RollingRegressionResults.centered_tss reading sources... [ 48%] generated/statsmodels.regression.rolling.RollingRegressionResults.conf_int reading sources... [ 48%] generated/statsmodels.regression.rolling.RollingRegressionResults.cov_params reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.cov_type reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.df_model reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.df_resid reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.ess reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.f_pvalue reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.fvalue reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.info_criteria reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.k_constant reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.llf reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.load reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.mse_model reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.mse_resid reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.mse_total reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.nobs reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.params reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.plot_recursive_coefficient reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.pvalues reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.remove_data reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.rsquared reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.rsquared_adj reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.save reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.ssr reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.tvalues reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.uncentered_tss reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.use_t reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingWLS reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingWLS.fit reading sources... [ 49%] generated/statsmodels.regression.rolling.RollingWLS.from_formula reading sources... [ 49%] generated/statsmodels.robust.norms.AndrewWave reading sources... [ 49%] generated/statsmodels.robust.norms.AndrewWave.psi reading sources... [ 49%] generated/statsmodels.robust.norms.AndrewWave.psi_deriv reading sources... [ 49%] generated/statsmodels.robust.norms.AndrewWave.rho reading sources... [ 49%] generated/statsmodels.robust.norms.AndrewWave.weights reading sources... [ 49%] generated/statsmodels.robust.norms.Hampel reading sources... [ 49%] generated/statsmodels.robust.norms.Hampel.psi reading sources... [ 49%] generated/statsmodels.robust.norms.Hampel.psi_deriv reading sources... [ 49%] generated/statsmodels.robust.norms.Hampel.rho reading sources... [ 49%] generated/statsmodels.robust.norms.Hampel.weights reading sources... [ 49%] generated/statsmodels.robust.norms.HuberT reading sources... [ 49%] generated/statsmodels.robust.norms.HuberT.psi reading sources... [ 49%] generated/statsmodels.robust.norms.HuberT.psi_deriv reading sources... [ 49%] generated/statsmodels.robust.norms.HuberT.rho reading sources... [ 49%] generated/statsmodels.robust.norms.HuberT.weights reading sources... [ 49%] generated/statsmodels.robust.norms.LeastSquares reading sources... [ 49%] generated/statsmodels.robust.norms.LeastSquares.psi reading sources... [ 49%] generated/statsmodels.robust.norms.LeastSquares.psi_deriv reading sources... [ 49%] generated/statsmodels.robust.norms.LeastSquares.rho reading sources... [ 49%] generated/statsmodels.robust.norms.LeastSquares.weights reading sources... [ 49%] generated/statsmodels.robust.norms.MQuantileNorm reading sources... [ 49%] generated/statsmodels.robust.norms.MQuantileNorm.psi reading sources... [ 49%] generated/statsmodels.robust.norms.MQuantileNorm.psi_deriv reading sources... [ 49%] generated/statsmodels.robust.norms.MQuantileNorm.rho reading sources... [ 49%] generated/statsmodels.robust.norms.MQuantileNorm.weights reading sources... [ 49%] generated/statsmodels.robust.norms.RamsayE reading sources... [ 49%] generated/statsmodels.robust.norms.RamsayE.psi reading sources... [ 49%] generated/statsmodels.robust.norms.RamsayE.psi_deriv reading sources... [ 49%] generated/statsmodels.robust.norms.RamsayE.rho reading sources... [ 49%] generated/statsmodels.robust.norms.RamsayE.weights reading sources... [ 49%] generated/statsmodels.robust.norms.RobustNorm reading sources... [ 49%] generated/statsmodels.robust.norms.RobustNorm.psi reading sources... [ 49%] generated/statsmodels.robust.norms.RobustNorm.psi_deriv reading sources... [ 49%] generated/statsmodels.robust.norms.RobustNorm.rho reading sources... [ 49%] generated/statsmodels.robust.norms.RobustNorm.weights reading sources... [ 49%] generated/statsmodels.robust.norms.TrimmedMean reading sources... [ 49%] generated/statsmodels.robust.norms.TrimmedMean.psi reading sources... [ 50%] generated/statsmodels.robust.norms.TrimmedMean.psi_deriv reading sources... [ 50%] generated/statsmodels.robust.norms.TrimmedMean.rho reading sources... [ 50%] generated/statsmodels.robust.norms.TrimmedMean.weights reading sources... [ 50%] generated/statsmodels.robust.norms.TukeyBiweight reading sources... [ 50%] generated/statsmodels.robust.norms.TukeyBiweight.psi reading sources... [ 50%] generated/statsmodels.robust.norms.TukeyBiweight.psi_deriv reading sources... [ 50%] generated/statsmodels.robust.norms.TukeyBiweight.rho reading sources... [ 50%] generated/statsmodels.robust.norms.TukeyBiweight.weights reading sources... [ 50%] generated/statsmodels.robust.norms.estimate_location reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.deviance reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.endog_names reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.exog_names reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.fit reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.from_formula reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.hessian reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.information reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.initialize reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.loglike reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.predict reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.score reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.bcov_scaled reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.bcov_unscaled reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.bse reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.chisq reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.conf_int reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.cov_params reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.f_test reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.fittedvalues reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.initialize reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.llf reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.load reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.normalized_cov_params reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.predict reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.pvalues reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.remove_data reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.resid reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.save reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.sresid reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.summary reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.summary2 reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.t_test reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.t_test_pairwise reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.tvalues reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.use_t reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.wald_test reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.wald_test_terms reading sources... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.weights reading sources... [ 50%] generated/statsmodels.robust.scale.Huber reading sources... [ 50%] generated/statsmodels.robust.scale.HuberScale reading sources... [ 50%] generated/statsmodels.robust.scale.hubers_scale reading sources... [ 50%] generated/statsmodels.robust.scale.iqr reading sources... [ 50%] generated/statsmodels.robust.scale.mad reading sources... [ 50%] generated/statsmodels.robust.scale.qn_scale reading sources... [ 50%] generated/statsmodels.sandbox.descstats.descstats reading sources... [ 50%] generated/statsmodels.sandbox.descstats.sign_test reading sources... [ 50%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen reading sources... [ 50%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.cdf reading sources... [ 50%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.entropy reading sources... [ 50%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.expect reading sources... [ 50%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.fit reading sources... [ 50%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.fit_loc_scale reading sources... [ 50%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.freeze reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.interval reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.isf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.logcdf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.logpdf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.logsf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.mean reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.median reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.moment reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.nnlf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.pdf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.ppf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.random_state reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.rvs reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.sf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.stats reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.std reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.support reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.var reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.cdf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.entropy reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.expect reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.fit reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.fit_loc_scale reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.freeze reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.interval reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.isf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.logcdf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.logpdf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.logsf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.mean reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.median reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.moment reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.nnlf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.pdf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.ppf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.random_state reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.rvs reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.sf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.stats reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.std reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.support reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.var reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.cdf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.entropy reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.expect reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.fit reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.fit_loc_scale reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.freeze reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.interval reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.isf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.logcdf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.logpdf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.logsf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.mean reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.median reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.moment reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.nnlf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.pdf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.ppf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.random_state reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.rvs reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.sf reading sources... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.stats reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.std reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.support reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.var reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.cdf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.entropy reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.expect reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.fit reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.fit_loc_scale reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.freeze reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.interval reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.isf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.logcdf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.logpdf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.logsf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.mean reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.median reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.moment reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.nnlf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.pdf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.ppf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.random_state reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.rvs reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.sf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.stats reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.std reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.support reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.var reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.mvnormcdf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.mvstdnormcdf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.pdf_moments reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.pdf_moments_st reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.pdf_mvsk reading sources... [ 52%] generated/statsmodels.sandbox.distributions.extras.skewnorm2 reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.cdf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.entropy reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.expect reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.fit reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.fit_loc_scale reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.freeze reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.interval reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.isf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.logcdf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.logpdf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.logsf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.mean reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.median reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.moment reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.nnlf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.pdf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.ppf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.random_state reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.rvs reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.sf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.stats reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.std reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.support reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.var reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.cdf reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.entropy reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.expect reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.fit reading sources... [ 52%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.fit_loc_scale reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.freeze reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.interval reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.isf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.logcdf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.logpdf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.logsf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.mean reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.median reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.moment reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.nnlf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.pdf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.ppf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.random_state reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.rvs reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.sf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.stats reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.std reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.support reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.var reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.SquareFunc reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.SquareFunc.derivminus reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.SquareFunc.derivplus reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.SquareFunc.inverseminus reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.SquareFunc.inverseplus reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.SquareFunc.squarefunc reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.cdf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.entropy reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.expect reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.fit reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.fit_loc_scale reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.freeze reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.interval reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.isf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.logcdf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.logpdf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.logsf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.mean reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.median reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.moment reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.nnlf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.pdf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.ppf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.random_state reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.rvs reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.sf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.stats reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.std reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.support reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.var reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.cdf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.entropy reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.expect reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.fit reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.fit_loc_scale reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.freeze reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.interval reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.isf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.logcdf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.logpdf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.logsf reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.mean reading sources... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.median reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.moment reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.nnlf reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.pdf reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.ppf reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.random_state reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.rvs reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.sf reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.stats reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.std reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.support reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.var reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.absnormalg reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.invdnormalg reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.loggammaexpg reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.lognormalg reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.negsquarenormalg reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.squarenormalg reading sources... [ 54%] generated/statsmodels.sandbox.distributions.transformed.squaretg reading sources... [ 54%] generated/statsmodels.sandbox.regression.anova_nistcertified.anova_ols reading sources... [ 54%] generated/statsmodels.sandbox.regression.anova_nistcertified.anova_oneway reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.calc_weightmatrix reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.endog_names reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.exog_names reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.fit reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.fitgmm reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.fitgmm_cu reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.fititer reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.from_formula reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.gmmobjective reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.gmmobjective_cu reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.gradient_momcond reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.momcond_mean reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.predict reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.results_class reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.score reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.score_cu reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.set_param_names reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.start_weights reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.bse reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.bse_ reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.calc_cov_params reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.compare_j reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.conf_int reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.cov_params reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.f_test reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.get_bse reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.initialize reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.jtest reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.jval reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.llf reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.load reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.normalized_cov_params reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.predict reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.pvalues reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.q reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.remove_data reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.save reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.summary reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.t_test reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.t_test_pairwise reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.tvalues reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.use_t reading sources... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.wald_test reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.GMMResults.wald_test_terms reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.endog_names reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.exog_names reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.fit reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.from_formula reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.hessian reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.information reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.initialize reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.loglike reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.predict reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.score reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.whiten reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.calc_weightmatrix reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.endog_names reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.exog_names reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.fit reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.fitgmm reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.fitgmm_cu reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.fititer reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.fitstart reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.from_formula reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.get_error reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.gmmobjective reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.gmmobjective_cu reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.gradient_momcond reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.momcond reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.momcond_mean reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.predict reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.results_class reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.score reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.score_cu reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.set_param_names reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.start_weights reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.bse reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.bse_ reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.calc_cov_params reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.compare_j reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.conf_int reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.cov_params reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.f_test reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.fittedvalues reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.get_bse reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.initialize reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.jtest reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.jval reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.llf reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.load reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.normalized_cov_params reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.predict reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.pvalues reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.q reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.remove_data reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.resid reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.save reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.ssr reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.summary reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.t_test reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.t_test_pairwise reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.tvalues reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.use_t reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.wald_test reading sources... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.wald_test_terms reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.HC0_se reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.HC1_se reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.HC2_se reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.HC3_se reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.aic reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.bic reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.bse reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.centered_tss reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.compare_f_test reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.compare_lm_test reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.compare_lr_test reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.condition_number reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.conf_int reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.cov_HC0 reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.cov_HC1 reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.cov_HC2 reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.cov_HC3 reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.cov_params reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.eigenvals reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.ess reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.f_pvalue reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.f_test reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.fittedvalues reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.fvalue reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.get_prediction reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.get_robustcov_results reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.info_criteria reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.initialize reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.llf reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.load reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.mse_model reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.mse_resid reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.mse_total reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.nobs reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.normalized_cov_params reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.predict reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.pvalues reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.remove_data reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.resid reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.resid_pearson reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.rsquared reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.rsquared_adj reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.save reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.scale reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.spec_hausman reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.ssr reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.summary reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.summary2 reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.t_test reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.t_test_pairwise reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.tvalues reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.uncentered_tss reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.use_t reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.wald_test reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.wald_test_terms reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.wresid reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.calc_weightmatrix reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.endog_names reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.exog_names reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.fit reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.fitgmm reading sources... [ 56%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.fitgmm_cu reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.fititer reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.fitstart reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.from_formula reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.get_error reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.gmmobjective reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.gmmobjective_cu reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.gradient_momcond reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.momcond reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.momcond_mean reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.predict reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.results_class reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.score reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.score_cu reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.set_param_names reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.start_weights reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.calc_weightmatrix reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.endog_names reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.exog_names reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.fit reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.fitgmm reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.fitgmm_cu reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.fititer reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.fitstart reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.from_formula reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.get_error reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.gmmobjective reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.gmmobjective_cu reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.gradient_momcond reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.jac_error reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.jac_func reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.momcond reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.momcond_mean reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.predict reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.results_class reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.score reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.score_cu reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.set_param_names reading sources... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.start_weights reading sources... [ 57%] generated/statsmodels.sandbox.regression.try_catdata.cat2dummy reading sources... [ 57%] generated/statsmodels.sandbox.regression.try_catdata.convertlabels reading sources... [ 57%] generated/statsmodels.sandbox.regression.try_catdata.groupsstats_1d reading sources... [ 57%] generated/statsmodels.sandbox.regression.try_catdata.groupsstats_dummy reading sources... [ 57%] generated/statsmodels.sandbox.regression.try_catdata.groupstatsbin reading sources... [ 57%] generated/statsmodels.sandbox.regression.try_catdata.labelmeanfilter reading sources... [ 57%] generated/statsmodels.sandbox.regression.try_catdata.labelmeanfilter_nd reading sources... [ 57%] generated/statsmodels.sandbox.regression.try_catdata.labelmeanfilter_str reading sources... [ 57%] generated/statsmodels.sandbox.regression.try_ols_anova.data2dummy reading sources... [ 57%] generated/statsmodels.sandbox.regression.try_ols_anova.data2groupcont reading sources... [ 57%] generated/statsmodels.sandbox.regression.try_ols_anova.data2proddummy reading sources... [ 57%] generated/statsmodels.sandbox.regression.try_ols_anova.dropname reading sources... [ 57%] generated/statsmodels.sandbox.regression.try_ols_anova.form2design reading sources... [ 57%] generated/statsmodels.sandbox.stats.multicomp.GroupsStats reading sources... [ 57%] generated/statsmodels.sandbox.stats.multicomp.GroupsStats.groupdemean reading sources... [ 57%] generated/statsmodels.sandbox.stats.multicomp.GroupsStats.groupsswithin reading sources... [ 57%] generated/statsmodels.sandbox.stats.multicomp.GroupsStats.groupvarwithin reading sources... [ 57%] generated/statsmodels.sandbox.stats.multicomp.GroupsStats.runbasic reading sources... [ 57%] generated/statsmodels.sandbox.stats.multicomp.GroupsStats.runbasic_old reading sources... [ 57%] generated/statsmodels.sandbox.stats.multicomp.MultiComparison reading sources... [ 57%] generated/statsmodels.sandbox.stats.multicomp.MultiComparison.allpairtest reading sources... [ 57%] generated/statsmodels.sandbox.stats.multicomp.MultiComparison.getranks reading sources... [ 57%] generated/statsmodels.sandbox.stats.multicomp.MultiComparison.kruskal reading sources... [ 57%] generated/statsmodels.sandbox.stats.multicomp.MultiComparison.tukeyhsd reading sources... [ 57%] generated/statsmodels.sandbox.stats.multicomp.StepDown reading sources... [ 57%] generated/statsmodels.sandbox.stats.multicomp.StepDown.check_set reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.StepDown.get_crit reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.StepDown.get_distance_matrix reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.StepDown.iter_subsets reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.StepDown.run reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.StepDown.stepdown reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.TukeyHSDResults reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.TukeyHSDResults.plot_simultaneous reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.TukeyHSDResults.summary reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.catstack reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.ccols reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.compare_ordered reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.distance_st_range reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.ecdf reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.get_tukeyQcrit reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.homogeneous_subsets reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.maxzero reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.maxzerodown reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.mcfdr reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.qcrit reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.randmvn reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.rankdata reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.rejectionline reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.set_partition reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.set_remove_subs reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.tiecorrect reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.varcorrection_pairs_unbalanced reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.varcorrection_pairs_unequal reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.varcorrection_unbalanced reading sources... [ 58%] generated/statsmodels.sandbox.stats.multicomp.varcorrection_unequal reading sources... [ 58%] generated/statsmodels.sandbox.stats.runs.Runs reading sources... [ 58%] generated/statsmodels.sandbox.stats.runs.Runs.runs_test reading sources... [ 58%] generated/statsmodels.sandbox.stats.runs.cochrans_q reading sources... [ 58%] generated/statsmodels.sandbox.stats.runs.mcnemar reading sources... [ 58%] generated/statsmodels.sandbox.stats.runs.median_test_ksample reading sources... [ 58%] generated/statsmodels.sandbox.stats.runs.runstest_1samp reading sources... [ 58%] generated/statsmodels.sandbox.stats.runs.runstest_2samp reading sources... [ 58%] generated/statsmodels.sandbox.stats.runs.symmetry_bowker reading sources... [ 58%] generated/statsmodels.sandbox.sysreg.SUR reading sources... [ 58%] generated/statsmodels.sandbox.sysreg.SUR.fit reading sources... [ 58%] generated/statsmodels.sandbox.sysreg.SUR.initialize reading sources... [ 58%] generated/statsmodels.sandbox.sysreg.SUR.predict reading sources... [ 58%] generated/statsmodels.sandbox.sysreg.SUR.whiten reading sources... [ 58%] generated/statsmodels.sandbox.sysreg.Sem2SLS reading sources... [ 58%] generated/statsmodels.sandbox.sysreg.Sem2SLS.fit reading sources... [ 58%] generated/statsmodels.sandbox.sysreg.Sem2SLS.whiten reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.acf reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.acf2spdfreq reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.acovf reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.arma2ar reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.arma2ma reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.arroots reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.fftar reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.fftarma reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.fftma reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.filter reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.filter2 reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.from_coeffs reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.from_estimation reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.from_roots reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.generate_sample reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.impulse_response reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.invertroots reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.invpowerspd reading sources... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.isinvertible reading sources... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.isstationary reading sources... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.maroots reading sources... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.pacf reading sources... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.pad reading sources... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.padarr reading sources... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.periodogram reading sources... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.plot4 reading sources... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.spd reading sources... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.spddirect reading sources... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.spdmapoly reading sources... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.spdpoly reading sources... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.spdroots reading sources... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.spdshift reading sources... [ 59%] generated/statsmodels.sandbox.tsa.movstat.movmean reading sources... [ 59%] generated/statsmodels.sandbox.tsa.movstat.movmoment reading sources... [ 59%] generated/statsmodels.sandbox.tsa.movstat.movorder reading sources... [ 59%] generated/statsmodels.sandbox.tsa.movstat.movvar reading sources... [ 59%] generated/statsmodels.stats.anova.AnovaRM reading sources... [ 59%] generated/statsmodels.stats.anova.AnovaRM.fit reading sources... [ 59%] generated/statsmodels.stats.anova.anova_lm reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.chi2_contribs reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.cumulative_log_oddsratios reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.cumulative_oddsratios reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.fittedvalues reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.from_data reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.homogeneity reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.independence_probabilities reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.local_log_oddsratios reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.local_oddsratios reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.marginal_probabilities reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.resid_pearson reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.standardized_resids reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.summary reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.symmetry reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.test_nominal_association reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.test_ordinal_association reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.from_data reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.logodds_pooled reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.logodds_pooled_confint reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.logodds_pooled_se reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.oddsratio_pooled reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.oddsratio_pooled_confint reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.riskratio_pooled reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.summary reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.test_equal_odds reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.test_null_odds reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.Table reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.Table.chi2_contribs reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.Table.cumulative_log_oddsratios reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.Table.cumulative_oddsratios reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.Table.fittedvalues reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.Table.from_data reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.Table.independence_probabilities reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.Table.local_log_oddsratios reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.Table.local_oddsratios reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.Table.marginal_probabilities reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.Table.resid_pearson reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.Table.standardized_resids reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.Table.test_nominal_association reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.Table.test_ordinal_association reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.Table2x2 reading sources... [ 59%] generated/statsmodels.stats.contingency_tables.Table2x2.chi2_contribs reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.cumulative_log_oddsratios reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.cumulative_oddsratios reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.fittedvalues reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.from_data reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.homogeneity reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.independence_probabilities reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.local_log_oddsratios reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.local_oddsratios reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.log_oddsratio reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.log_oddsratio_confint reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.log_oddsratio_pvalue reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.log_oddsratio_se reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.log_riskratio reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.log_riskratio_confint reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.log_riskratio_pvalue reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.log_riskratio_se reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.marginal_probabilities reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.oddsratio reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.oddsratio_confint reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.oddsratio_pvalue reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.resid_pearson reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.riskratio reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.riskratio_confint reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.riskratio_pvalue reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.standardized_resids reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.summary reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.symmetry reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.test_nominal_association reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.test_ordinal_association reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.cochrans_q reading sources... [ 60%] generated/statsmodels.stats.contingency_tables.mcnemar reading sources... [ 60%] generated/statsmodels.stats.correlation_tools.FactoredPSDMatrix reading sources... [ 60%] generated/statsmodels.stats.correlation_tools.FactoredPSDMatrix.decorrelate reading sources... [ 60%] generated/statsmodels.stats.correlation_tools.FactoredPSDMatrix.logdet reading sources... [ 60%] generated/statsmodels.stats.correlation_tools.FactoredPSDMatrix.solve reading sources... [ 60%] generated/statsmodels.stats.correlation_tools.FactoredPSDMatrix.to_matrix reading sources... [ 60%] generated/statsmodels.stats.correlation_tools.corr_clipped reading sources... [ 60%] generated/statsmodels.stats.correlation_tools.corr_nearest reading sources... [ 60%] generated/statsmodels.stats.correlation_tools.corr_nearest_factor reading sources... [ 60%] generated/statsmodels.stats.correlation_tools.corr_thresholded reading sources... [ 60%] generated/statsmodels.stats.correlation_tools.cov_nearest reading sources... [ 60%] generated/statsmodels.stats.correlation_tools.cov_nearest_factor_homog reading sources... [ 60%] generated/statsmodels.stats.correlation_tools.kernel_covariance reading sources... [ 60%] generated/statsmodels.stats.descriptivestats.Description reading sources... [ 60%] generated/statsmodels.stats.descriptivestats.Description.categorical reading sources... [ 60%] generated/statsmodels.stats.descriptivestats.Description.categorical_statistics reading sources... [ 60%] generated/statsmodels.stats.descriptivestats.Description.default_statistics reading sources... [ 60%] generated/statsmodels.stats.descriptivestats.Description.frame reading sources... [ 60%] generated/statsmodels.stats.descriptivestats.Description.numeric reading sources... [ 60%] generated/statsmodels.stats.descriptivestats.Description.numeric_statistics reading sources... [ 60%] generated/statsmodels.stats.descriptivestats.Description.summary reading sources... [ 60%] generated/statsmodels.stats.descriptivestats.describe reading sources... [ 60%] generated/statsmodels.stats.descriptivestats.sign_test reading sources... [ 60%] generated/statsmodels.stats.diagnostic.acorr_breusch_godfrey reading sources... [ 60%] generated/statsmodels.stats.diagnostic.acorr_ljungbox reading sources... [ 60%] generated/statsmodels.stats.diagnostic.acorr_lm reading sources... [ 60%] generated/statsmodels.stats.diagnostic.anderson_statistic reading sources... [ 60%] generated/statsmodels.stats.diagnostic.breaks_cusumolsresid reading sources... [ 60%] generated/statsmodels.stats.diagnostic.breaks_hansen reading sources... [ 60%] generated/statsmodels.stats.diagnostic.compare_cox reading sources... [ 60%] generated/statsmodels.stats.diagnostic.compare_encompassing reading sources... [ 60%] generated/statsmodels.stats.diagnostic.compare_j reading sources... [ 60%] generated/statsmodels.stats.diagnostic.het_arch reading sources... [ 60%] generated/statsmodels.stats.diagnostic.het_breuschpagan reading sources... [ 60%] generated/statsmodels.stats.diagnostic.het_goldfeldquandt reading sources... [ 61%] generated/statsmodels.stats.diagnostic.het_white reading sources... [ 61%] generated/statsmodels.stats.diagnostic.kstest_exponential reading sources... [ 61%] generated/statsmodels.stats.diagnostic.kstest_fit reading sources... [ 61%] generated/statsmodels.stats.diagnostic.kstest_normal reading sources... [ 61%] generated/statsmodels.stats.diagnostic.lilliefors reading sources... [ 61%] generated/statsmodels.stats.diagnostic.linear_harvey_collier reading sources... [ 61%] generated/statsmodels.stats.diagnostic.linear_lm reading sources... [ 61%] generated/statsmodels.stats.diagnostic.linear_rainbow reading sources... [ 61%] generated/statsmodels.stats.diagnostic.linear_reset reading sources... [ 61%] generated/statsmodels.stats.diagnostic.normal_ad reading sources... [ 61%] generated/statsmodels.stats.diagnostic.recursive_olsresiduals reading sources... [ 61%] generated/statsmodels.stats.diagnostic.spec_white reading sources... [ 61%] generated/statsmodels.stats.dist_dependence_measures.distance_correlation reading sources... [ 61%] generated/statsmodels.stats.dist_dependence_measures.distance_covariance reading sources... [ 61%] generated/statsmodels.stats.dist_dependence_measures.distance_covariance_test reading sources... [ 61%] generated/statsmodels.stats.dist_dependence_measures.distance_statistics reading sources... [ 61%] generated/statsmodels.stats.dist_dependence_measures.distance_variance reading sources... [ 61%] generated/statsmodels.stats.gof.chisquare_effectsize reading sources... [ 61%] generated/statsmodels.stats.gof.gof_binning_discrete reading sources... [ 61%] generated/statsmodels.stats.gof.gof_chisquare_discrete reading sources... [ 61%] generated/statsmodels.stats.gof.powerdiscrepancy reading sources... [ 61%] generated/statsmodels.stats.inter_rater.aggregate_raters reading sources... [ 61%] generated/statsmodels.stats.inter_rater.cohens_kappa reading sources... [ 61%] generated/statsmodels.stats.inter_rater.fleiss_kappa reading sources... [ 61%] generated/statsmodels.stats.inter_rater.to_table reading sources... [ 61%] generated/statsmodels.stats.knockoff_regeffects.CorrelationEffects reading sources... [ 61%] generated/statsmodels.stats.knockoff_regeffects.CorrelationEffects.stats reading sources... [ 61%] generated/statsmodels.stats.knockoff_regeffects.ForwardEffects reading sources... [ 61%] generated/statsmodels.stats.knockoff_regeffects.ForwardEffects.stats reading sources... [ 61%] generated/statsmodels.stats.knockoff_regeffects.OLSEffects reading sources... [ 61%] generated/statsmodels.stats.knockoff_regeffects.OLSEffects.stats reading sources... [ 61%] generated/statsmodels.stats.knockoff_regeffects.RegModelEffects reading sources... [ 61%] generated/statsmodels.stats.knockoff_regeffects.RegModelEffects.stats reading sources... [ 61%] generated/statsmodels.stats.mediation.Mediation reading sources... [ 61%] generated/statsmodels.stats.mediation.Mediation.fit reading sources... [ 61%] generated/statsmodels.stats.mediation.MediationResults reading sources... [ 61%] generated/statsmodels.stats.mediation.MediationResults.summary reading sources... [ 61%] generated/statsmodels.stats.meta_analysis.CombineResults reading sources... [ 61%] generated/statsmodels.stats.meta_analysis.CombineResults.conf_int reading sources... [ 61%] generated/statsmodels.stats.meta_analysis.CombineResults.conf_int_samples reading sources... [ 61%] generated/statsmodels.stats.meta_analysis.CombineResults.plot_forest reading sources... [ 61%] generated/statsmodels.stats.meta_analysis.CombineResults.summary_array reading sources... [ 61%] generated/statsmodels.stats.meta_analysis.CombineResults.summary_frame reading sources... [ 61%] generated/statsmodels.stats.meta_analysis.CombineResults.test_homogeneity reading sources... [ 61%] generated/statsmodels.stats.meta_analysis._fit_tau_iter_mm reading sources... [ 61%] generated/statsmodels.stats.meta_analysis._fit_tau_iterative reading sources... [ 61%] generated/statsmodels.stats.meta_analysis._fit_tau_mm reading sources... [ 61%] generated/statsmodels.stats.meta_analysis.combine_effects reading sources... [ 61%] generated/statsmodels.stats.meta_analysis.effectsize_2proportions reading sources... [ 61%] generated/statsmodels.stats.meta_analysis.effectsize_smd reading sources... [ 61%] generated/statsmodels.stats.moment_helpers.corr2cov reading sources... [ 61%] generated/statsmodels.stats.moment_helpers.cov2corr reading sources... [ 61%] generated/statsmodels.stats.moment_helpers.cum2mc reading sources... [ 61%] generated/statsmodels.stats.moment_helpers.mc2mnc reading sources... [ 61%] generated/statsmodels.stats.moment_helpers.mc2mvsk reading sources... [ 61%] generated/statsmodels.stats.moment_helpers.mnc2cum reading sources... [ 61%] generated/statsmodels.stats.moment_helpers.mnc2mc reading sources... [ 61%] generated/statsmodels.stats.moment_helpers.mnc2mvsk reading sources... [ 61%] generated/statsmodels.stats.moment_helpers.mvsk2mc reading sources... [ 61%] generated/statsmodels.stats.moment_helpers.mvsk2mnc reading sources... [ 61%] generated/statsmodels.stats.moment_helpers.se_cov reading sources... [ 61%] generated/statsmodels.stats.multicomp.pairwise_tukeyhsd reading sources... [ 61%] generated/statsmodels.stats.multitest.NullDistribution reading sources... [ 61%] generated/statsmodels.stats.multitest.NullDistribution.pdf reading sources... [ 61%] generated/statsmodels.stats.multitest.RegressionFDR reading sources... [ 62%] generated/statsmodels.stats.multitest.RegressionFDR.summary reading sources... [ 62%] generated/statsmodels.stats.multitest.RegressionFDR.threshold reading sources... [ 62%] generated/statsmodels.stats.multitest.fdrcorrection reading sources... [ 62%] generated/statsmodels.stats.multitest.fdrcorrection_twostage reading sources... [ 62%] generated/statsmodels.stats.multitest.local_fdr reading sources... [ 62%] generated/statsmodels.stats.multitest.multipletests reading sources... [ 62%] generated/statsmodels.stats.multivariate.confint_mvmean reading sources... [ 62%] generated/statsmodels.stats.multivariate.confint_mvmean_fromstats reading sources... [ 62%] generated/statsmodels.stats.multivariate.test_cov reading sources... [ 62%] generated/statsmodels.stats.multivariate.test_cov_blockdiagonal reading sources... [ 62%] generated/statsmodels.stats.multivariate.test_cov_diagonal reading sources... [ 62%] generated/statsmodels.stats.multivariate.test_cov_oneway reading sources... [ 62%] generated/statsmodels.stats.multivariate.test_cov_spherical reading sources... [ 62%] generated/statsmodels.stats.multivariate.test_mvmean reading sources... [ 62%] generated/statsmodels.stats.multivariate.test_mvmean_2indep reading sources... [ 62%] generated/statsmodels.stats.nonparametric.RankCompareResult reading sources... [ 62%] generated/statsmodels.stats.nonparametric.RankCompareResult.conf_int reading sources... [ 62%] generated/statsmodels.stats.nonparametric.RankCompareResult.confint_lintransf reading sources... [ 62%] generated/statsmodels.stats.nonparametric.RankCompareResult.effectsize_normal reading sources... [ 62%] generated/statsmodels.stats.nonparametric.RankCompareResult.summary reading sources... [ 62%] generated/statsmodels.stats.nonparametric.RankCompareResult.test_prob_superior reading sources... [ 62%] generated/statsmodels.stats.nonparametric.RankCompareResult.tost_prob_superior reading sources... [ 62%] generated/statsmodels.stats.nonparametric.cohensd2problarger reading sources... [ 62%] generated/statsmodels.stats.nonparametric.prob_larger_continuous reading sources... [ 62%] generated/statsmodels.stats.nonparametric.rank_compare_2indep reading sources... [ 62%] generated/statsmodels.stats.nonparametric.rank_compare_2ordinal reading sources... [ 62%] generated/statsmodels.stats.nonparametric.rankdata_2samp reading sources... [ 62%] generated/statsmodels.stats.oaxaca.OaxacaBlinder reading sources... [ 62%] generated/statsmodels.stats.oaxaca.OaxacaBlinder.three_fold reading sources... [ 62%] generated/statsmodels.stats.oaxaca.OaxacaBlinder.two_fold reading sources... [ 62%] generated/statsmodels.stats.oaxaca.OaxacaBlinder.variance reading sources... [ 62%] generated/statsmodels.stats.oaxaca.OaxacaResults reading sources... [ 62%] generated/statsmodels.stats.oaxaca.OaxacaResults.summary reading sources... [ 62%] generated/statsmodels.stats.oneway._fstat2effectsize reading sources... [ 62%] generated/statsmodels.stats.oneway._power_equivalence_oneway_emp reading sources... [ 62%] generated/statsmodels.stats.oneway.anova_generic reading sources... [ 62%] generated/statsmodels.stats.oneway.anova_oneway reading sources... [ 62%] generated/statsmodels.stats.oneway.confint_effectsize_oneway reading sources... [ 62%] generated/statsmodels.stats.oneway.confint_noncentrality reading sources... [ 62%] generated/statsmodels.stats.oneway.convert_effectsize_fsqu reading sources... [ 62%] generated/statsmodels.stats.oneway.effectsize_oneway reading sources... [ 62%] generated/statsmodels.stats.oneway.equivalence_oneway reading sources... [ 62%] generated/statsmodels.stats.oneway.equivalence_oneway_generic reading sources... [ 62%] generated/statsmodels.stats.oneway.equivalence_scale_oneway reading sources... [ 62%] generated/statsmodels.stats.oneway.f2_to_wellek reading sources... [ 62%] generated/statsmodels.stats.oneway.fstat_to_wellek reading sources... [ 62%] generated/statsmodels.stats.oneway.power_equivalence_oneway reading sources... [ 62%] generated/statsmodels.stats.oneway.scale_transform reading sources... [ 62%] generated/statsmodels.stats.oneway.simulate_power_equivalence_oneway reading sources... [ 62%] generated/statsmodels.stats.oneway.test_scale_oneway reading sources... [ 62%] generated/statsmodels.stats.oneway.wellek_to_f2 reading sources... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence reading sources... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.cooks_distance reading sources... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.d_fittedvalues reading sources... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.d_fittedvalues_scaled reading sources... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.d_linpred reading sources... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.d_linpred_scaled reading sources... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.d_params reading sources... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.dfbetas reading sources... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.hat_matrix_diag reading sources... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.hat_matrix_exog_diag reading sources... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.params_one reading sources... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.plot_index reading sources... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.plot_influence reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.GLMInfluence.resid_score reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.GLMInfluence.resid_score_factor reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.GLMInfluence.resid_studentized reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.GLMInfluence.summary_frame reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.cooks_distance reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.d_fittedvalues reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.d_fittedvalues_scaled reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.d_params reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.dfbetas reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.hat_matrix_diag reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.hat_matrix_exog_diag reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.params_one reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.plot_index reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.plot_influence reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.resid_score reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.resid_score_factor reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.resid_studentized reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.summary_frame reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.cooks_distance reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.cov_ratio reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.det_cov_params_not_obsi reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.dfbeta reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.dfbetas reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.dffits reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.dffits_internal reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.ess_press reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.get_resid_studentized_external reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.hat_diag_factor reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.hat_matrix_diag reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.influence reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.params_not_obsi reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.plot_index reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.plot_influence reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.resid_press reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.resid_std reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.resid_studentized reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.resid_studentized_external reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.resid_studentized_internal reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.resid_var reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.sigma2_not_obsi reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.summary_frame reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.summary_table reading sources... [ 63%] generated/statsmodels.stats.outliers_influence.variance_inflation_factor reading sources... [ 63%] generated/statsmodels.stats.power.FTestAnovaPower reading sources... [ 63%] generated/statsmodels.stats.power.FTestAnovaPower.plot_power reading sources... [ 63%] generated/statsmodels.stats.power.FTestAnovaPower.power reading sources... [ 63%] generated/statsmodels.stats.power.FTestAnovaPower.solve_power reading sources... [ 63%] generated/statsmodels.stats.power.FTestPower reading sources... [ 63%] generated/statsmodels.stats.power.FTestPower.plot_power reading sources... [ 63%] generated/statsmodels.stats.power.FTestPower.power reading sources... [ 63%] generated/statsmodels.stats.power.FTestPower.solve_power reading sources... [ 63%] generated/statsmodels.stats.power.GofChisquarePower reading sources... [ 63%] generated/statsmodels.stats.power.GofChisquarePower.plot_power reading sources... [ 63%] generated/statsmodels.stats.power.GofChisquarePower.power reading sources... [ 63%] generated/statsmodels.stats.power.GofChisquarePower.solve_power reading sources... [ 63%] generated/statsmodels.stats.power.NormalIndPower reading sources... [ 63%] generated/statsmodels.stats.power.NormalIndPower.plot_power reading sources... [ 63%] generated/statsmodels.stats.power.NormalIndPower.power reading sources... [ 63%] generated/statsmodels.stats.power.NormalIndPower.solve_power reading sources... [ 63%] generated/statsmodels.stats.power.TTestIndPower reading sources... [ 63%] generated/statsmodels.stats.power.TTestIndPower.plot_power reading sources... [ 63%] generated/statsmodels.stats.power.TTestIndPower.power reading sources... [ 63%] generated/statsmodels.stats.power.TTestIndPower.solve_power reading sources... [ 64%] generated/statsmodels.stats.power.TTestPower reading sources... [ 64%] generated/statsmodels.stats.power.TTestPower.plot_power reading sources... [ 64%] generated/statsmodels.stats.power.TTestPower.power reading sources... [ 64%] generated/statsmodels.stats.power.TTestPower.solve_power reading sources... [ 64%] generated/statsmodels.stats.power.normal_power_het reading sources... [ 64%] generated/statsmodels.stats.power.normal_sample_size_one_tail reading sources... [ 64%] generated/statsmodels.stats.power.tt_ind_solve_power reading sources... [ 64%] generated/statsmodels.stats.power.tt_solve_power reading sources... [ 64%] generated/statsmodels.stats.power.zt_ind_solve_power reading sources... [ 64%] generated/statsmodels.stats.proportion._score_confint_inversion reading sources... [ 64%] generated/statsmodels.stats.proportion.binom_test reading sources... [ 64%] generated/statsmodels.stats.proportion.binom_test_reject_interval reading sources... [ 64%] generated/statsmodels.stats.proportion.binom_tost reading sources... [ 64%] generated/statsmodels.stats.proportion.binom_tost_reject_interval reading sources... [ 64%] generated/statsmodels.stats.proportion.confint_proportions_2indep reading sources... [ 64%] generated/statsmodels.stats.proportion.multinomial_proportions_confint reading sources... [ 64%] generated/statsmodels.stats.proportion.power_binom_tost reading sources... [ 64%] generated/statsmodels.stats.proportion.power_proportions_2indep reading sources... [ 64%] generated/statsmodels.stats.proportion.power_ztost_prop reading sources... [ 64%] generated/statsmodels.stats.proportion.proportion_confint reading sources... [ 64%] generated/statsmodels.stats.proportion.proportion_effectsize reading sources... [ 64%] generated/statsmodels.stats.proportion.proportions_chisquare reading sources... [ 64%] generated/statsmodels.stats.proportion.proportions_chisquare_allpairs reading sources... [ 64%] generated/statsmodels.stats.proportion.proportions_chisquare_pairscontrol reading sources... [ 64%] generated/statsmodels.stats.proportion.proportions_ztest reading sources... [ 64%] generated/statsmodels.stats.proportion.proportions_ztost reading sources... [ 64%] generated/statsmodels.stats.proportion.samplesize_confint_proportion reading sources... [ 64%] generated/statsmodels.stats.proportion.samplesize_proportions_2indep_onetail reading sources... [ 64%] generated/statsmodels.stats.proportion.score_test_proportions_2indep reading sources... [ 64%] generated/statsmodels.stats.proportion.test_proportions_2indep reading sources... [ 64%] generated/statsmodels.stats.proportion.tost_proportions_2indep reading sources... [ 64%] generated/statsmodels.stats.rates.confint_poisson reading sources... [ 64%] generated/statsmodels.stats.rates.confint_poisson_2indep reading sources... [ 64%] generated/statsmodels.stats.rates.confint_quantile_poisson reading sources... [ 64%] generated/statsmodels.stats.rates.etest_poisson_2indep reading sources... [ 64%] generated/statsmodels.stats.rates.nonequivalence_poisson_2indep reading sources... [ 64%] generated/statsmodels.stats.rates.power_equivalence_neginb_2indep reading sources... [ 64%] generated/statsmodels.stats.rates.power_equivalence_poisson_2indep reading sources... [ 64%] generated/statsmodels.stats.rates.power_negbin_ratio_2indep reading sources... [ 64%] generated/statsmodels.stats.rates.power_poisson_diff_2indep reading sources... [ 64%] generated/statsmodels.stats.rates.power_poisson_ratio_2indep reading sources... [ 64%] generated/statsmodels.stats.rates.test_poisson reading sources... [ 64%] generated/statsmodels.stats.rates.test_poisson_2indep reading sources... [ 64%] generated/statsmodels.stats.rates.tolerance_int_poisson reading sources... [ 64%] generated/statsmodels.stats.rates.tost_poisson_2indep reading sources... [ 64%] generated/statsmodels.stats.regularized_covariance.RegularizedInvCovariance reading sources... [ 64%] generated/statsmodels.stats.regularized_covariance.RegularizedInvCovariance.approx_inv_cov reading sources... [ 64%] generated/statsmodels.stats.regularized_covariance.RegularizedInvCovariance.fit reading sources... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean reading sources... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.data_trimmed reading sources... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.data_winsorized reading sources... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.mean_trimmed reading sources... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.mean_winsorized reading sources... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.reset_fraction reading sources... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.std_mean_trimmed reading sources... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.std_mean_winsorized reading sources... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.ttest_mean reading sources... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.var_winsorized reading sources... [ 64%] generated/statsmodels.stats.robust_compare.scale_transform reading sources... [ 64%] generated/statsmodels.stats.robust_compare.trim_mean reading sources... [ 64%] generated/statsmodels.stats.robust_compare.trimboth reading sources... [ 64%] generated/statsmodels.stats.sandwich_covariance.cov_cluster reading sources... [ 64%] generated/statsmodels.stats.sandwich_covariance.cov_cluster_2groups reading sources... [ 64%] generated/statsmodels.stats.sandwich_covariance.cov_hac reading sources... [ 64%] generated/statsmodels.stats.sandwich_covariance.cov_hc0 reading sources... [ 65%] generated/statsmodels.stats.sandwich_covariance.cov_hc1 reading sources... [ 65%] generated/statsmodels.stats.sandwich_covariance.cov_hc2 reading sources... [ 65%] generated/statsmodels.stats.sandwich_covariance.cov_hc3 reading sources... [ 65%] generated/statsmodels.stats.sandwich_covariance.cov_nw_groupsum reading sources... [ 65%] generated/statsmodels.stats.sandwich_covariance.cov_nw_panel reading sources... [ 65%] generated/statsmodels.stats.sandwich_covariance.cov_white_simple reading sources... [ 65%] generated/statsmodels.stats.sandwich_covariance.se_cov reading sources... [ 65%] generated/statsmodels.stats.stattools.durbin_watson reading sources... [ 65%] generated/statsmodels.stats.stattools.expected_robust_kurtosis reading sources... [ 65%] generated/statsmodels.stats.stattools.jarque_bera reading sources... [ 65%] generated/statsmodels.stats.stattools.medcouple reading sources... [ 65%] generated/statsmodels.stats.stattools.omni_normtest reading sources... [ 65%] generated/statsmodels.stats.stattools.robust_kurtosis reading sources... [ 65%] generated/statsmodels.stats.stattools.robust_skewness reading sources... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans reading sources... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.dof_satt reading sources... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.from_data reading sources... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.std_meandiff_pooledvar reading sources... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.std_meandiff_separatevar reading sources... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.summary reading sources... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.tconfint_diff reading sources... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.ttest_ind reading sources... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.ttost_ind reading sources... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.zconfint_diff reading sources... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.ztest_ind reading sources... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.ztost_ind reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.asrepeats reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.corrcoef reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.cov reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.demeaned reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.get_compare reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.mean reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.nobs reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.quantile reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.std reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.std_ddof reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.std_mean reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.sum reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.sum_weights reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.sumsquares reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.tconfint_mean reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.ttest_mean reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.ttost_mean reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.var reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.var_ddof reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.zconfint_mean reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.ztest_mean reading sources... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.ztost_mean reading sources... [ 65%] generated/statsmodels.stats.weightstats._tconfint_generic reading sources... [ 65%] generated/statsmodels.stats.weightstats._tstat_generic reading sources... [ 65%] generated/statsmodels.stats.weightstats._zconfint_generic reading sources... [ 65%] generated/statsmodels.stats.weightstats._zstat_generic reading sources... [ 65%] generated/statsmodels.stats.weightstats._zstat_generic2 reading sources... [ 65%] generated/statsmodels.stats.weightstats.ttest_ind reading sources... [ 65%] generated/statsmodels.stats.weightstats.ttost_ind reading sources... [ 65%] generated/statsmodels.stats.weightstats.ttost_paired reading sources... [ 65%] generated/statsmodels.stats.weightstats.zconfint reading sources... [ 65%] generated/statsmodels.stats.weightstats.ztest reading sources... [ 65%] generated/statsmodels.stats.weightstats.ztost reading sources... [ 65%] generated/statsmodels.tools.eval_measures.aic reading sources... [ 65%] generated/statsmodels.tools.eval_measures.aic_sigma reading sources... [ 65%] generated/statsmodels.tools.eval_measures.aicc reading sources... [ 65%] generated/statsmodels.tools.eval_measures.aicc_sigma reading sources... [ 66%] generated/statsmodels.tools.eval_measures.bias reading sources... [ 66%] generated/statsmodels.tools.eval_measures.bic reading sources... [ 66%] generated/statsmodels.tools.eval_measures.bic_sigma reading sources... [ 66%] generated/statsmodels.tools.eval_measures.hqic reading sources... [ 66%] generated/statsmodels.tools.eval_measures.hqic_sigma reading sources... [ 66%] generated/statsmodels.tools.eval_measures.iqr reading sources... [ 66%] generated/statsmodels.tools.eval_measures.maxabs reading sources... [ 66%] generated/statsmodels.tools.eval_measures.meanabs reading sources... [ 66%] generated/statsmodels.tools.eval_measures.medianabs reading sources... [ 66%] generated/statsmodels.tools.eval_measures.medianbias reading sources... [ 66%] generated/statsmodels.tools.eval_measures.mse reading sources... [ 66%] generated/statsmodels.tools.eval_measures.rmse reading sources... [ 66%] generated/statsmodels.tools.eval_measures.rmspe reading sources... [ 66%] generated/statsmodels.tools.eval_measures.stde reading sources... [ 66%] generated/statsmodels.tools.eval_measures.vare reading sources... [ 66%] generated/statsmodels.tools.numdiff.approx_fprime reading sources... [ 66%] generated/statsmodels.tools.numdiff.approx_fprime_cs reading sources... [ 66%] generated/statsmodels.tools.numdiff.approx_hess1 reading sources... [ 66%] generated/statsmodels.tools.numdiff.approx_hess2 reading sources... [ 66%] generated/statsmodels.tools.numdiff.approx_hess3 reading sources... [ 66%] generated/statsmodels.tools.numdiff.approx_hess_cs reading sources... [ 66%] generated/statsmodels.tools.print_version.show_versions reading sources... [ 66%] generated/statsmodels.tools.rng_qrng.check_random_state reading sources... [ 66%] generated/statsmodels.tools.tools.add_constant reading sources... [ 66%] generated/statsmodels.tools.tools.clean0 reading sources... [ 66%] generated/statsmodels.tools.tools.fullrank reading sources... [ 66%] generated/statsmodels.tools.tools.isestimable reading sources... [ 66%] generated/statsmodels.tools.tools.recipr reading sources... [ 66%] generated/statsmodels.tools.tools.recipr0 reading sources... [ 66%] generated/statsmodels.tools.tools.unsqueeze reading sources... [ 66%] generated/statsmodels.tools.web.webdoc reading sources... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffect reading sources... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffect.aipw reading sources... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffect.aipw_wls reading sources... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffect.from_data reading sources... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffect.ipw reading sources... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffect.ipw_ra reading sources... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffect.ra reading sources... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffectResults reading sources... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffectResults.conf_int reading sources... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffectResults.df_denom reading sources... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffectResults.summary reading sources... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffectResults.summary_frame reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.ar_lags reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.deterministic reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.df_model reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.endog_names reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.exog_names reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.fit reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.from_formula reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.hessian reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.hold_back reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.information reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.initialize reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.loglike reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.period reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.predict reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.score reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.seasonal reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.trend reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoRegResults reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoRegResults.aic reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoRegResults.aicc reading sources... [ 66%] generated/statsmodels.tsa.ar_model.AutoRegResults.append reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.apply reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.ar_lags reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.arfreq reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.bic reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.bse reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.conf_int reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.cov_params reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.df_model reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.df_resid reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.diagnostic_summary reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.f_test reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.fittedvalues reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.forecast reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.fpe reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.get_prediction reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.hqic reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.initialize reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.llf reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.load reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.nobs reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.normalized_cov_params reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.params reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.plot_diagnostics reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.plot_predict reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.predict reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.pvalues reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.remove_data reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.resid reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.roots reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.save reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.scale reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.sigma2 reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.summary reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.t_test reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.t_test_pairwise reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.test_heteroskedasticity reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.test_normality reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.test_serial_correlation reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.tvalues reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.use_t reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.wald_test reading sources... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.wald_test_terms reading sources... [ 67%] generated/statsmodels.tsa.ar_model.ar_select_order reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.ar_lags reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.ardl_order reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.causal reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.deterministic reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.df_model reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.dl_lags reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.endog_names reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.exog_names reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.fit reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.fixed reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.from_formula reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.hessian reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.hold_back reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.information reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.initialize reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.loglike reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.period reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.predict reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.score reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.seasonal reading sources... [ 67%] generated/statsmodels.tsa.ardl.ARDL.trend reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.aic reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.ar_lags reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.bic reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.dl_lags reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.hqic reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.model reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.period reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.seasonal reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.trend reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.aic reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.aicc reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.append reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.apply reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.ar_lags reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.arfreq reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.bic reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.bse reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.conf_int reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.cov_params reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.df_model reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.df_resid reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.diagnostic_summary reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.f_test reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.fittedvalues reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.forecast reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.fpe reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.get_prediction reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.hqic reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.initialize reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.llf reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.load reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.nobs reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.normalized_cov_params reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.params reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.plot_diagnostics reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.plot_predict reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.predict reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.pvalues reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.remove_data reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.resid reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.roots reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.save reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.scale reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.sigma2 reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.summary reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.t_test reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.t_test_pairwise reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.test_heteroskedasticity reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.test_normality reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.test_serial_correlation reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.tvalues reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.use_t reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.wald_test reading sources... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.wald_test_terms reading sources... [ 68%] generated/statsmodels.tsa.ardl.BoundsTestResult reading sources... [ 68%] generated/statsmodels.tsa.ardl.BoundsTestResult.alternative reading sources... [ 68%] generated/statsmodels.tsa.ardl.BoundsTestResult.count reading sources... [ 68%] generated/statsmodels.tsa.ardl.BoundsTestResult.crit_vals reading sources... [ 68%] generated/statsmodels.tsa.ardl.BoundsTestResult.index reading sources... [ 68%] generated/statsmodels.tsa.ardl.BoundsTestResult.null reading sources... [ 68%] generated/statsmodels.tsa.ardl.BoundsTestResult.p_values reading sources... [ 68%] generated/statsmodels.tsa.ardl.BoundsTestResult.stat reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.ar_lags reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.ardl_order reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.causal reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.deterministic reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.df_model reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.dl_lags reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.endog_names reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.exog_names reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.fit reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.fixed reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.from_ardl reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.from_formula reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.hessian reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.hold_back reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.information reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.initialize reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.loglike reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.period reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.predict reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.score reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.seasonal reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECM.trend reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.aic reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.aicc reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.append reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.apply reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ar_lags reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.arfreq reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.bic reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.bounds_test reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.bse reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ci_bse reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ci_conf_int reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ci_cov_params reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ci_params reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ci_pvalues reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ci_resids reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ci_summary reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ci_tvalues reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.conf_int reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.cov_params reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.df_model reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.df_resid reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.diagnostic_summary reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.f_test reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.fittedvalues reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.forecast reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.fpe reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.get_prediction reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.hqic reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.initialize reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.llf reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.load reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.nobs reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.normalized_cov_params reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.params reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.plot_diagnostics reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.plot_predict reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.predict reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.pvalues reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.remove_data reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.resid reading sources... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.roots reading sources... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.save reading sources... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.scale reading sources... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.sigma2 reading sources... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.summary reading sources... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.t_test reading sources... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.t_test_pairwise reading sources... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.test_heteroskedasticity reading sources... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.test_normality reading sources... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.test_serial_correlation reading sources... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.tvalues reading sources... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.use_t reading sources... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.wald_test reading sources... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.wald_test_terms reading sources... [ 70%] generated/statsmodels.tsa.ardl.ardl_select_order reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.clone reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.endog_names reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.exog_names reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.filter reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.fit reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.fit_constrained reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.fix_params reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.from_formula reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.handle_params reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.hessian reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.impulse_responses reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.information reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initial_design reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initial_selection reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initial_state_intercept reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initial_transition reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initial_variance reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initialization reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initialize reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initialize_approximate_diffuse reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initialize_default reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initialize_known reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initialize_statespace reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initialize_stationary reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.loglike reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.loglikelihood_burn reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.loglikeobs reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.model_latex_names reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.model_names reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.model_orders reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.observed_information_matrix reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.opg_information_matrix reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.param_names reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.param_terms reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.params_complete reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.predict reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.prepare_data reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.score reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.score_obs reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.set_conserve_memory reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.set_filter_method reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.set_inversion_method reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.set_smoother_output reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.set_stability_method reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.simulate reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.simulation_smoother reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.smooth reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.start_params reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.state_names reading sources... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.tolerance reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMA.transform_jacobian reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMA.transform_params reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMA.untransform_params reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMA.update reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.aic reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.aicc reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.append reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.apply reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.arfreq reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.arparams reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.arroots reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.bic reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.bse reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.conf_int reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.cov_params reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.cov_params_approx reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.cov_params_oim reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.cov_params_opg reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.cov_params_robust reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.cov_params_robust_approx reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.cov_params_robust_oim reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.extend reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.f_test reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.fittedvalues reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.forecast reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.get_forecast reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.get_prediction reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.get_smoothed_decomposition reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.hqic reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.impulse_responses reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.info_criteria reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.initialize reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.llf reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.llf_obs reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.load reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.loglikelihood_burn reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.mae reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.mafreq reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.maparams reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.maroots reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.mse reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.news reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.normalized_cov_params reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.plot_diagnostics reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.predict reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.pvalues reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.remove_data reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.resid reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.save reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.seasonalarparams reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.seasonalmaparams reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.simulate reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.sse reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.states reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.summary reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.t_test reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.t_test_pairwise reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.test_heteroskedasticity reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.test_normality reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.test_serial_correlation reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.tvalues reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.use_t reading sources... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.wald_test reading sources... [ 72%] generated/statsmodels.tsa.arima.model.ARIMAResults.wald_test_terms reading sources... [ 72%] generated/statsmodels.tsa.arima.model.ARIMAResults.zvalues reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.acf reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.acovf reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.arma2ar reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.arma2ma reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.arroots reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.from_coeffs reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.from_estimation reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.from_roots reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.generate_sample reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.impulse_response reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.invertroots reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.isinvertible reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.isstationary reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.maroots reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.pacf reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.periodogram reading sources... [ 72%] generated/statsmodels.tsa.arima_process.ar2arma reading sources... [ 72%] generated/statsmodels.tsa.arima_process.arma2ar reading sources... [ 72%] generated/statsmodels.tsa.arima_process.arma2ma reading sources... [ 72%] generated/statsmodels.tsa.arima_process.arma_acf reading sources... [ 72%] generated/statsmodels.tsa.arima_process.arma_acovf reading sources... [ 72%] generated/statsmodels.tsa.arima_process.arma_generate_sample reading sources... [ 72%] generated/statsmodels.tsa.arima_process.arma_impulse_response reading sources... [ 72%] generated/statsmodels.tsa.arima_process.arma_pacf reading sources... [ 72%] generated/statsmodels.tsa.arima_process.arma_periodogram reading sources... [ 72%] generated/statsmodels.tsa.arima_process.deconvolve reading sources... [ 72%] generated/statsmodels.tsa.arima_process.index2lpol reading sources... [ 72%] generated/statsmodels.tsa.arima_process.lpol2index reading sources... [ 72%] generated/statsmodels.tsa.arima_process.lpol_fiar reading sources... [ 72%] generated/statsmodels.tsa.arima_process.lpol_fima reading sources... [ 72%] generated/statsmodels.tsa.arima_process.lpol_sdiff reading sources... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults reading sources... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults.conf_int reading sources... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults.predicted_mean reading sources... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults.row_labels reading sources... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults.se_mean reading sources... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults.summary_frame reading sources... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults.t_test reading sources... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults.tvalues reading sources... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults.var_pred_mean reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarDeterministicTerm reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarDeterministicTerm.freq reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarDeterministicTerm.in_sample reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarDeterministicTerm.is_dummy reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarDeterministicTerm.out_of_sample reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarFourier reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarFourier.freq reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarFourier.in_sample reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarFourier.is_dummy reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarFourier.order reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarFourier.out_of_sample reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarSeasonality reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarSeasonality.freq reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarSeasonality.in_sample reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarSeasonality.is_dummy reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarSeasonality.out_of_sample reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarSeasonality.period reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend.base_period reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend.constant reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend.freq reading sources... [ 72%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend.from_string reading sources... [ 73%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend.in_sample reading sources... [ 73%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend.is_dummy reading sources... [ 73%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend.order reading sources... [ 73%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend.out_of_sample reading sources... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicProcess reading sources... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicProcess.apply reading sources... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicProcess.in_sample reading sources... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicProcess.index reading sources... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicProcess.out_of_sample reading sources... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicProcess.range reading sources... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicProcess.terms reading sources... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicTerm reading sources... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicTerm.in_sample reading sources... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicTerm.is_dummy reading sources... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicTerm.out_of_sample reading sources... [ 73%] generated/statsmodels.tsa.deterministic.Fourier reading sources... [ 73%] generated/statsmodels.tsa.deterministic.Fourier.in_sample reading sources... [ 73%] generated/statsmodels.tsa.deterministic.Fourier.is_dummy reading sources... [ 73%] generated/statsmodels.tsa.deterministic.Fourier.order reading sources... [ 73%] generated/statsmodels.tsa.deterministic.Fourier.out_of_sample reading sources... [ 73%] generated/statsmodels.tsa.deterministic.Fourier.period reading sources... [ 73%] generated/statsmodels.tsa.deterministic.FourierDeterministicTerm reading sources... [ 73%] generated/statsmodels.tsa.deterministic.FourierDeterministicTerm.in_sample reading sources... [ 73%] generated/statsmodels.tsa.deterministic.FourierDeterministicTerm.is_dummy reading sources... [ 73%] generated/statsmodels.tsa.deterministic.FourierDeterministicTerm.order reading sources... [ 73%] generated/statsmodels.tsa.deterministic.FourierDeterministicTerm.out_of_sample reading sources... [ 73%] generated/statsmodels.tsa.deterministic.Seasonality reading sources... [ 73%] generated/statsmodels.tsa.deterministic.Seasonality.from_index reading sources... [ 73%] generated/statsmodels.tsa.deterministic.Seasonality.in_sample reading sources... [ 73%] generated/statsmodels.tsa.deterministic.Seasonality.initial_period reading sources... [ 73%] generated/statsmodels.tsa.deterministic.Seasonality.is_dummy reading sources... [ 73%] generated/statsmodels.tsa.deterministic.Seasonality.out_of_sample reading sources... [ 73%] generated/statsmodels.tsa.deterministic.Seasonality.period reading sources... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrend reading sources... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrend.constant reading sources... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrend.from_string reading sources... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrend.in_sample reading sources... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrend.is_dummy reading sources... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrend.order reading sources... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrend.out_of_sample reading sources... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrendDeterministicTerm reading sources... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrendDeterministicTerm.constant reading sources... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrendDeterministicTerm.in_sample reading sources... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrendDeterministicTerm.is_dummy reading sources... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrendDeterministicTerm.order reading sources... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrendDeterministicTerm.out_of_sample reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.clone reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.endog_names reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.exog_names reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.fit reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.fit_constrained reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.fix_params reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.from_formula reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.hessian reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.information reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.initial_state_names reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.initialize reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.k_endog reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.k_params reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.loglike reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.nobs_effective reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.param_names reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.predict reading sources... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.prepare_data reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.score reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.set_bounds reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.set_initialization_method reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.short_name reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.smooth reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.start_params reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.state_names reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.update reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.use_internal_loglike reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.aic reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.aicc reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.bic reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.bse reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.conf_int reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.cov_params reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.cov_params_approx reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.df_resid reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.f_test reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.fittedvalues reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.forecast reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.get_prediction reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.hqic reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.initialize reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.llf reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.load reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.mae reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.mse reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.nobs_effective reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.normalized_cov_params reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.predict reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.pvalues reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.remove_data reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.resid reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.save reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.simulate reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.sse reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.summary reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.t_test reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.t_test_pairwise reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.test_heteroskedasticity reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.test_normality reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.test_serial_correlation reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.tvalues reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.use_t reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.wald_test reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.wald_test_terms reading sources... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.zvalues reading sources... [ 74%] generated/statsmodels.tsa.filters.bk_filter.bkfilter reading sources... [ 74%] generated/statsmodels.tsa.filters.cf_filter.cffilter reading sources... [ 74%] generated/statsmodels.tsa.filters.filtertools.convolution_filter reading sources... [ 74%] generated/statsmodels.tsa.filters.filtertools.fftconvolve3 reading sources... [ 74%] generated/statsmodels.tsa.filters.filtertools.fftconvolveinv reading sources... [ 74%] generated/statsmodels.tsa.filters.filtertools.miso_lfilter reading sources... [ 74%] generated/statsmodels.tsa.filters.filtertools.recursive_filter reading sources... [ 74%] generated/statsmodels.tsa.filters.hp_filter.hpfilter reading sources... [ 74%] generated/statsmodels.tsa.forecasting.stl.STLForecast reading sources... [ 74%] generated/statsmodels.tsa.forecasting.stl.STLForecast.fit reading sources... [ 74%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults reading sources... [ 74%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults.forecast reading sources... [ 74%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults.get_prediction reading sources... [ 74%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults.model reading sources... [ 74%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults.model_result reading sources... [ 74%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults.period reading sources... [ 75%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults.result reading sources... [ 75%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults.stl reading sources... [ 75%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults.summary reading sources... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModel reading sources... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModel.deseasonalize reading sources... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModel.difference reading sources... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModel.fit reading sources... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModel.method reading sources... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModel.period reading sources... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModel.use_test reading sources... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults reading sources... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults.forecast reading sources... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults.forecast_components reading sources... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults.model reading sources... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults.params reading sources... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults.plot_predict reading sources... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults.prediction_intervals reading sources... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults.sigma2 reading sources... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults.summary reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.endog_names reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.exog_names reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.fit reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.fix_params reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.from_formula reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.hessian reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.information reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.initial_values reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.initialize reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.loglike reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.predict reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.score reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.Holt reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.endog_names reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.exog_names reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.fit reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.fix_params reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.from_formula reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.hessian reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.information reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.initial_values reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.initialize reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.loglike reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.predict reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.score reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.aic reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.aicc reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.bic reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.fcastvalues reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.fittedfcast reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.fittedvalues reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.forecast reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.initialize reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.k reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.level reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.mle_retvals reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.model reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.optimized reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.params_formatted reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.predict reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.resid reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.season reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.simulate reading sources... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.sse reading sources... [ 76%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.summary reading sources... [ 76%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.trend reading sources... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing reading sources... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.endog_names reading sources... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.exog_names reading sources... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.fit reading sources... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.fix_params reading sources... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.from_formula reading sources... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.hessian reading sources... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.information reading sources... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.initial_values reading sources... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.initialize reading sources... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.loglike reading sources... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.predict reading sources... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.score reading sources... [ 76%] generated/statsmodels.tsa.interp.denton.dentonm reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.endog_names reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.exog_names reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.filter reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.fit reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.from_formula reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.hessian reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.information reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.initial_probabilities reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.initialize reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.initialize_known reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.initialize_steady_state reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.k_params reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.loglike reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.loglikeobs reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.param_names reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.predict reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.predict_conditional reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.regime_transition_matrix reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.score reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.score_obs reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.smooth reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.start_params reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.transform_params reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.untransform_params reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.endog_names reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.exog_names reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.filter reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.fit reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.from_formula reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.hessian reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.information reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.initial_probabilities reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.initialize reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.initialize_known reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.initialize_steady_state reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.k_params reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.loglike reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.loglikeobs reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.param_names reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.predict reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.predict_conditional reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.regime_transition_matrix reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.score reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.score_obs reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.smooth reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.start_params reading sources... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.transform_params reading sources... [ 77%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.untransform_params reading sources... [ 77%] generated/statsmodels.tsa.seasonal.DecomposeResult reading sources... [ 77%] generated/statsmodels.tsa.seasonal.DecomposeResult.nobs reading sources... [ 77%] generated/statsmodels.tsa.seasonal.DecomposeResult.observed reading sources... [ 77%] generated/statsmodels.tsa.seasonal.DecomposeResult.plot reading sources... [ 77%] generated/statsmodels.tsa.seasonal.DecomposeResult.resid reading sources... [ 77%] generated/statsmodels.tsa.seasonal.DecomposeResult.seasonal reading sources... [ 77%] generated/statsmodels.tsa.seasonal.DecomposeResult.trend reading sources... [ 77%] generated/statsmodels.tsa.seasonal.DecomposeResult.weights reading sources... [ 77%] generated/statsmodels.tsa.seasonal.MSTL reading sources... [ 77%] generated/statsmodels.tsa.seasonal.MSTL.fit reading sources... [ 77%] generated/statsmodels.tsa.seasonal.STL :10: FutureWarning: 'M' is deprecated and will be removed in a future version, please use 'ME' instead. reading sources... [ 77%] generated/statsmodels.tsa.seasonal.STL.config reading sources... [ 77%] generated/statsmodels.tsa.seasonal.STL.fit reading sources... [ 77%] generated/statsmodels.tsa.seasonal.STL.period reading sources... [ 77%] generated/statsmodels.tsa.seasonal.seasonal_decompose reading sources... [ 77%] generated/statsmodels.tsa.statespace.cfa_simulation_smoother.CFASimulationSmoother reading sources... [ 77%] generated/statsmodels.tsa.statespace.cfa_simulation_smoother.CFASimulationSmoother.posterior_cov reading sources... [ 77%] generated/statsmodels.tsa.statespace.cfa_simulation_smoother.CFASimulationSmoother.posterior_cov_inv_chol_sparse reading sources... [ 77%] generated/statsmodels.tsa.statespace.cfa_simulation_smoother.CFASimulationSmoother.posterior_mean reading sources... [ 77%] generated/statsmodels.tsa.statespace.cfa_simulation_smoother.CFASimulationSmoother.simulate reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.clone reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.endog_names reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.exog_names reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.filter reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.fit reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.fit_constrained reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.fix_params reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.from_formula reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.handle_params reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.hessian reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.impulse_responses reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.information reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.initial_variance reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.initialization reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.initialize reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.initialize_approximate_diffuse reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.initialize_known reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.initialize_statespace reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.initialize_stationary reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.loglike reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.loglikelihood_burn reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.loglikeobs reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.observed_information_matrix reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.opg_information_matrix reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.param_names reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.predict reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.prepare_data reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.score reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.score_obs reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.set_conserve_memory reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.set_filter_method reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.set_inversion_method reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.set_smoother_output reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.set_stability_method reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.simulate reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.simulation_smoother reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.smooth reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.start_params reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.state_names reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.tolerance reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.transform_jacobian reading sources... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.transform_params reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.untransform_params reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.update reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.aic reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.aicc reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.append reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.apply reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.bic reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.bse reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.coefficients_of_determination reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.conf_int reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.cov_params reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.cov_params_approx reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.cov_params_oim reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.cov_params_opg reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.cov_params_robust reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.cov_params_robust_approx reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.cov_params_robust_oim reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.extend reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.f_test reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.factors reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.fittedvalues reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.forecast reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.get_forecast reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.get_prediction reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.get_smoothed_decomposition reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.hqic reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.impulse_responses reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.info_criteria reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.initialize reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.llf reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.llf_obs reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.load reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.loglikelihood_burn reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.mae reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.mse reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.news reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.normalized_cov_params reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.plot_coefficients_of_determination reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.plot_diagnostics reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.predict reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.pvalues reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.remove_data reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.resid reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.save reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.simulate reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.sse reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.states reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.summary reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.t_test reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.t_test_pairwise reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.test_heteroskedasticity reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.test_normality reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.test_serial_correlation reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.tvalues reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.use_t reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.wald_test reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.wald_test_terms reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.zvalues reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.clone reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.construct_endog reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.endog_names reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.exog_names reading sources... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.filter reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.fit reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.fit_constrained reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.fit_em reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.fix_params reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.from_formula reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.handle_params reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.hessian reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.impulse_responses reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.information reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.initial_variance reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.initialization reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.initialize reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.initialize_approximate_diffuse reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.initialize_known reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.initialize_statespace reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.initialize_stationary reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.loading_constraints reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.loglike reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.loglike_constant reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.loglikelihood_burn reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.loglikeobs reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.observed_information_matrix reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.opg_information_matrix reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.param_names reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.predict reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.prepare_data reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.score reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.score_obs reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.set_conserve_memory reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.set_filter_method reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.set_inversion_method reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.set_smoother_output reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.set_stability_method reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.simulate reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.simulation_smoother reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.smooth reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.start_params reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.state_names reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.summary reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.tolerance reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.transform_jacobian reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.transform_params reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.untransform_params reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.update reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.aic reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.aicc reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.append reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.apply reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.bic reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.bse reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.coefficients_of_determination reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.conf_int reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.cov_params reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.cov_params_approx reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.cov_params_oim reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.cov_params_opg reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.cov_params_robust reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.cov_params_robust_approx reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.cov_params_robust_oim reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.extend reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.f_test reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.factors reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.fittedvalues reading sources... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.forecast reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.get_coefficients_of_determination reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.get_forecast reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.get_prediction reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.get_smoothed_decomposition reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.hqic reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.impulse_responses reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.info_criteria reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.initialize reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.llf reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.llf_obs reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.load reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.loglikelihood_burn reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.mae reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.mse reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.news reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.normalized_cov_params reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.plot_coefficients_of_determination reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.plot_diagnostics reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.predict reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.pvalues reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.remove_data reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.resid reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.save reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.simulate reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.sse reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.states reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.summary reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.t_test reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.t_test_pairwise reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.test_heteroskedasticity reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.test_normality reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.test_serial_correlation reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.tvalues reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.use_t reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.wald_test reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.wald_test_terms reading sources... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.zvalues reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.clone reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.endog_names reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.exog_names reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.filter reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.fit reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.fit_constrained reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.fix_params reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.from_formula reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.handle_params reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.hessian reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.impulse_responses reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.information reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.initial_variance reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.initialization reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.initialize reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.initialize_approximate_diffuse reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.initialize_known reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.initialize_statespace reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.initialize_stationary reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.k_params reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.loglike reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.loglikelihood_burn reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.loglikeobs reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.observed_information_matrix reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.opg_information_matrix reading sources... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.param_names reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.predict reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.prepare_data reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.score reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.score_obs reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.set_conserve_memory reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.set_filter_method reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.set_inversion_method reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.set_smoother_output reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.set_stability_method reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.simulate reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.simulation_smoother reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.smooth reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.start_params reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.state_names reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.tolerance reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.transform_jacobian reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.transform_params reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.untransform_params reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.update reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.aic reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.aicc reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.append reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.apply reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.bic reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.bse reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.conf_int reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.cov_params reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.cov_params_approx reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.cov_params_oim reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.cov_params_opg reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.cov_params_robust reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.cov_params_robust_approx reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.cov_params_robust_oim reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.extend reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.f_test reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.fittedvalues reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.forecast reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.get_forecast reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.get_prediction reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.get_smoothed_decomposition reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.hqic reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.impulse_responses reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.info_criteria reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.initialize reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.llf reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.llf_obs reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.load reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.loglikelihood_burn reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.mae reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.mse reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.news reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.normalized_cov_params reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.plot_diagnostics reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.predict reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.pvalues reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.remove_data reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.resid reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.save reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.simulate reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.sse reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.states reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.summary reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.t_test reading sources... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.t_test_pairwise reading sources... [ 82%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.test_heteroskedasticity reading sources... [ 82%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.test_normality reading sources... [ 82%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.test_serial_correlation reading sources... [ 82%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.tvalues reading sources... [ 82%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.use_t reading sources... [ 82%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.wald_test reading sources... [ 82%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.wald_test_terms reading sources... [ 82%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.zvalues reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.FilterResults reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.FilterResults.kalman_gain reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.FilterResults.predict reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.FilterResults.standardized_forecasts_error reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.FilterResults.update_filter reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.FilterResults.update_representation reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.bind reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.clone reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.conserve_memory reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.design reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.diff_endog reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.dtype reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.endog reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.extend reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_augmented reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_chandrasekhar reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_collapsed reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_concentrated reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_conventional reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_exact_initial reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_extended reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_method reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_methods reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_square_root reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_timing reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_univariate reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_unscented reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.fixed_scale reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.impulse_responses reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.initialize reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.initialize_approximate_diffuse reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.initialize_components reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.initialize_diffuse reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.initialize_known reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.initialize_stationary reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.inversion_method reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.inversion_methods reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.invert_cholesky reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.invert_lu reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.invert_univariate reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.loglike reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.loglikeobs reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_conserve reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_filtered reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_filtered_cov reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_filtered_mean reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_forecast reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_forecast_cov reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_forecast_mean reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_gain reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_likelihood reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_predicted reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_predicted_cov reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_predicted_mean reading sources... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_smoothing reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_std_forecast reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_options reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_store_all reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.obs reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.obs_cov reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.obs_intercept reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.prefix reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.selection reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.set_conserve_memory reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.set_filter_method reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.set_filter_timing reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.set_inversion_method reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.set_stability_method reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.simulate reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.solve_cholesky reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.solve_lu reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.stability_force_symmetry reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.stability_method reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.stability_methods reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.state_cov reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.state_intercept reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.time_invariant reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.timing_init_filtered reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.timing_init_predicted reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.timing_options reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.transition reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.clear reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.filter_attributes reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.filtered_forecasts reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.filtered_forecasts_error_cov reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.filtered_signal reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.filtered_signal_cov reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.kalman_gain reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.predict reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.predicted_signal reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.predicted_signal_cov reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.representation_attributes reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.smoothed_forecasts reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.smoothed_forecasts_error_cov reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.smoothed_signal reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.smoothed_signal_cov reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.smoother_attributes reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.standardized_forecasts_error reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.update_filter reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.update_representation reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.bind reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.clone reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.conserve_memory reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.design reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.diff_endog reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.dtype reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.endog reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.extend reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_augmented reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_chandrasekhar reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_collapsed reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_concentrated reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_conventional reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_exact_initial reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_extended reading sources... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_method reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_methods reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_square_root reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_timing reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_univariate reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_unscented reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.fixed_scale reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.impulse_responses reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.initialize reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.initialize_approximate_diffuse reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.initialize_components reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.initialize_diffuse reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.initialize_known reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.initialize_stationary reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.inversion_method reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.inversion_methods reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.invert_cholesky reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.invert_lu reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.invert_univariate reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.loglike reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.loglikeobs reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_conserve reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_filtered reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_filtered_cov reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_filtered_mean reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_forecast reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_forecast_cov reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_forecast_mean reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_gain reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_likelihood reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_predicted reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_predicted_cov reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_predicted_mean reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_smoothing reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_std_forecast reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_options reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_store_all reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.obs reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.obs_cov reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.obs_intercept reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.prefix reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.selection reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.set_conserve_memory reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.set_filter_method reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.set_filter_timing reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.set_inversion_method reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.set_smooth_method reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.set_smoother_output reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.set_stability_method reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.simulate reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smooth reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smooth_alternative reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smooth_classical reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smooth_conventional reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smooth_method reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smooth_methods reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smooth_univariate reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smoother_all reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smoother_disturbance reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smoother_disturbance_cov reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smoother_output reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smoother_outputs reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smoother_state reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smoother_state_autocov reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smoother_state_cov reading sources... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.solve_cholesky reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.solve_lu reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.stability_force_symmetry reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.stability_method reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.stability_methods reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.state_cov reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.state_intercept reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.time_invariant reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.timing_init_filtered reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.timing_init_predicted reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.timing_options reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.transition reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.get_smoothed_decomposition reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.kalman_gain reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.news reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.predict reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.smoothed_forecasts reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.smoothed_forecasts_error reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.smoothed_forecasts_error_cov reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.smoothed_state_autocovariance reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.smoothed_state_gain reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.standardized_forecasts_error reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.update_filter reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.update_representation reading sources... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.update_smoother reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.clone reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.endog_names reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.exog_names reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.filter reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.fit reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.fit_constrained reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.fix_params reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.from_formula reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.handle_params reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.hessian reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.impulse_responses reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.information reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.initial_variance reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.initialization reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.initialize reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.initialize_approximate_diffuse reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.initialize_known reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.initialize_statespace reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.initialize_stationary reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.loglike reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.loglikelihood_burn reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.loglikeobs reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.observed_information_matrix reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.opg_information_matrix reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.param_names reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.predict reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.prepare_data reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.score reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.score_obs reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.set_conserve_memory reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.set_filter_method reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.set_inversion_method reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.set_smoother_output reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.set_stability_method reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.simulate reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.simulation_smoother reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.smooth reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.start_params reading sources... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.state_names reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.tolerance reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.transform_jacobian reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.transform_params reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.untransform_params reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.update reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.aic reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.aicc reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.append reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.apply reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.bic reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.bse reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.conf_int reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.cov_params reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.cov_params_approx reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.cov_params_oim reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.cov_params_opg reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.cov_params_robust reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.cov_params_robust_approx reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.cov_params_robust_oim reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.extend reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.f_test reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.fittedvalues reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.forecast reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.get_forecast reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.get_prediction reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.get_smoothed_decomposition reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.hqic reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.impulse_responses reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.info_criteria reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.initialize reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.llf reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.llf_obs reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.load reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.loglikelihood_burn reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.mae reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.mse reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.news reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.normalized_cov_params reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.plot_diagnostics reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.predict reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.pvalues reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.remove_data reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.resid reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.save reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.simulate reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.sse reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.states reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.summary reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.t_test reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.t_test_pairwise reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.test_heteroskedasticity reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.test_normality reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.test_serial_correlation reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.tvalues reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.use_t reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.wald_test reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.wald_test_terms reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.zvalues reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults.conf_int reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults.predicted_mean reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults.row_labels reading sources... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults.se_mean reading sources... [ 87%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults.summary_frame reading sources... [ 87%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults.t_test reading sources... [ 87%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults.tvalues reading sources... [ 87%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults.var_pred_mean reading sources... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults reading sources... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.data_revisions reading sources... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.data_updates reading sources... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.details_by_impact reading sources... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.details_by_update reading sources... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.get_details reading sources... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.get_impacts reading sources... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.impacted_variable reading sources... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.impacts reading sources... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.revision_details_by_impact reading sources... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.revision_details_by_update reading sources... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.summary reading sources... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.summary_details reading sources... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.summary_impacts reading sources... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.summary_news reading sources... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.summary_revisions reading sources... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.tolerance reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.FrozenRepresentation reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.FrozenRepresentation.update_representation reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.bind reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.clone reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.design reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.diff_endog reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.dtype reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.endog reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.extend reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.initialize reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.initialize_approximate_diffuse reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.initialize_components reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.initialize_diffuse reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.initialize_known reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.initialize_stationary reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.obs reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.obs_cov reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.obs_intercept reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.prefix reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.selection reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.state_cov reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.state_intercept reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.time_invariant reading sources... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.transition reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.clone reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.endog_names reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.exog_names reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.filter reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.fit reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.fit_constrained reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.fix_params reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.from_formula reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.handle_params reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.hessian reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.impulse_responses reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.information reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initial_design reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initial_selection reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initial_state_intercept reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initial_transition reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initial_variance reading sources... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initialization reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initialize reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initialize_approximate_diffuse reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initialize_default reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initialize_known reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initialize_statespace reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initialize_stationary reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.loglike reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.loglikelihood_burn reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.loglikeobs reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.model_latex_names reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.model_names reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.model_orders reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.observed_information_matrix reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.opg_information_matrix reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.param_names reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.param_terms reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.params_complete reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.predict reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.prepare_data reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.score reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.score_obs reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.set_conserve_memory reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.set_filter_method reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.set_inversion_method reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.set_smoother_output reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.set_stability_method reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.simulate reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.simulation_smoother reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.smooth reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.start_params reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.state_names reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.tolerance reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.transform_jacobian reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.transform_params reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.untransform_params reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.update reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.aic reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.aicc reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.append reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.apply reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.arfreq reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.arparams reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.arroots reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.bic reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.bse reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.conf_int reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.cov_params reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.cov_params_approx reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.cov_params_oim reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.cov_params_opg reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.cov_params_robust reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.cov_params_robust_approx reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.cov_params_robust_oim reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.extend reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.f_test reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.fittedvalues reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.forecast reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.get_forecast reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.get_prediction reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.get_smoothed_decomposition reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.hqic reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.impulse_responses reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.info_criteria reading sources... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.initialize reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.llf reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.llf_obs reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.load reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.loglikelihood_burn reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.mae reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.mafreq reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.maparams reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.maroots reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.mse reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.news reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.normalized_cov_params reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.plot_diagnostics reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.predict reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.pvalues reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.remove_data reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.resid reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.save reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.seasonalarparams reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.seasonalmaparams reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.simulate reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.sse reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.states reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.summary reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.t_test reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.t_test_pairwise reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.test_heteroskedasticity reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.test_normality reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.test_serial_correlation reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.tvalues reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.use_t reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.wald_test reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.wald_test_terms reading sources... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.zvalues reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.generated_measurement_disturbance reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.generated_obs reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.generated_state reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.generated_state_disturbance reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulate reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulate_all reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulate_disturbance reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulate_state reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulated_measurement_disturbance reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulated_state reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulated_state_disturbance reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulation_output reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.bind reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.clone reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.conserve_memory reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.design reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.diff_endog reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.dtype reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.endog reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.extend reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_augmented reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_chandrasekhar reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_collapsed reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_concentrated reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_conventional reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_exact_initial reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_extended reading sources... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_method reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_methods reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_square_root reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_timing reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_univariate reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_unscented reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.fixed_scale reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.get_simulation_output reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.impulse_responses reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.initialize reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.initialize_approximate_diffuse reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.initialize_components reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.initialize_diffuse reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.initialize_known reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.initialize_stationary reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.inversion_method reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.inversion_methods reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.invert_cholesky reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.invert_lu reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.invert_univariate reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.loglike reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.loglikeobs reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_conserve reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_filtered reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_filtered_cov reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_filtered_mean reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_forecast reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_forecast_cov reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_forecast_mean reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_gain reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_likelihood reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_predicted reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_predicted_cov reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_predicted_mean reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_smoothing reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_std_forecast reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_options reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_store_all reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.obs reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.obs_cov reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.obs_intercept reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.prefix reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.selection reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.set_conserve_memory reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.set_filter_method reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.set_filter_timing reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.set_inversion_method reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.set_smooth_method reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.set_smoother_output reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.set_stability_method reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.simulate reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.simulation_outputs reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.simulation_smoother reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.simulator reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smooth reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smooth_alternative reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smooth_classical reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smooth_conventional reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smooth_method reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smooth_methods reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smooth_univariate reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smoother_all reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smoother_disturbance reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smoother_disturbance_cov reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smoother_output reading sources... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smoother_outputs reading sources... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smoother_state reading sources... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smoother_state_autocov reading sources... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smoother_state_cov reading sources... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.solve_cholesky reading sources... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.solve_lu reading sources... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.stability_force_symmetry reading sources... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.stability_method reading sources... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.stability_methods reading sources... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.state_cov reading sources... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.state_intercept reading sources... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.time_invariant reading sources... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.timing_init_filtered reading sources... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.timing_init_predicted reading sources... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.timing_options reading sources... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.transition reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.clone reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.endog_names reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.exog_names reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.filter reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.fit reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.fit_constrained reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.fix_params reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.from_formula reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.handle_params reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.hessian reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.impulse_responses reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.information reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.initial_variance reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.initialization reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.initialize reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.initialize_approximate_diffuse reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.initialize_default reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.initialize_known reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.initialize_statespace reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.initialize_stationary reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.loglike reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.loglikelihood_burn reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.loglikeobs reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.observed_information_matrix reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.opg_information_matrix reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.param_names reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.predict reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.prepare_data reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.score reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.score_obs reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.set_conserve_memory reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.set_filter_method reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.set_inversion_method reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.set_smoother_output reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.set_stability_method reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.setup reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.simulate reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.simulation_smoother reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.smooth reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.start_params reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.state_names reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.tolerance reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.transform_jacobian reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.transform_params reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.untransform_params reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.update reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.aic reading sources... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.aicc reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.append reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.apply reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.autoregressive reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.bic reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.bse reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.conf_int reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.cov_params reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.cov_params_approx reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.cov_params_oim reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.cov_params_opg reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.cov_params_robust reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.cov_params_robust_approx reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.cov_params_robust_oim reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.cycle reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.extend reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.f_test reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.fittedvalues reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.forecast reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.freq_seasonal reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.get_forecast reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.get_prediction reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.get_smoothed_decomposition reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.hqic reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.impulse_responses reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.info_criteria reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.initialize reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.level reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.llf reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.llf_obs reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.load reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.loglikelihood_burn reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.mae reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.mse reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.news reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.normalized_cov_params reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.plot_components reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.plot_diagnostics reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.predict reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.pvalues reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.regression_coefficients reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.remove_data reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.resid reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.save reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.seasonal reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.simulate reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.sse reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.states reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.summary reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.t_test reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.t_test_pairwise reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.test_heteroskedasticity reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.test_normality reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.test_serial_correlation reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.trend reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.tvalues reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.use_t reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.wald_test reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.wald_test_terms reading sources... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.zvalues reading sources... [ 92%] generated/statsmodels.tsa.statespace.tools.companion_matrix reading sources... [ 92%] generated/statsmodels.tsa.statespace.tools.constrain_stationary_multivariate reading sources... [ 92%] generated/statsmodels.tsa.statespace.tools.constrain_stationary_univariate reading sources... [ 92%] generated/statsmodels.tsa.statespace.tools.diff reading sources... [ 92%] generated/statsmodels.tsa.statespace.tools.is_invertible reading sources... [ 93%] generated/statsmodels.tsa.statespace.tools.unconstrain_stationary_multivariate reading sources... [ 93%] generated/statsmodels.tsa.statespace.tools.unconstrain_stationary_univariate reading sources... [ 93%] generated/statsmodels.tsa.statespace.tools.validate_matrix_shape reading sources... [ 93%] generated/statsmodels.tsa.statespace.tools.validate_vector_shape reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.clone reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.endog_names reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.exog_names reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.filter reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.fit reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.fit_constrained reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.fix_params reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.from_formula reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.handle_params reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.hessian reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.impulse_responses reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.information reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.initial_variance reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.initialization reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.initialize reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.initialize_approximate_diffuse reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.initialize_known reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.initialize_statespace reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.initialize_stationary reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.loglike reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.loglikelihood_burn reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.loglikeobs reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.observed_information_matrix reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.opg_information_matrix reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.param_names reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.predict reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.prepare_data reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.score reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.score_obs reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.set_conserve_memory reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.set_filter_method reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.set_inversion_method reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.set_smoother_output reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.set_stability_method reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.simulate reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.simulation_smoother reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.smooth reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.start_params reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.state_names reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.tolerance reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.transform_jacobian reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.transform_params reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.untransform_params reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.update reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.aic reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.aicc reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.append reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.apply reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.bic reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.bse reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.conf_int reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.cov_params reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.cov_params_approx reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.cov_params_oim reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.cov_params_opg reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.cov_params_robust reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.cov_params_robust_approx reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.cov_params_robust_oim reading sources... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.extend reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.f_test reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.fittedvalues reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.forecast reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.get_forecast reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.get_prediction reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.get_smoothed_decomposition reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.hqic reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.impulse_responses reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.info_criteria reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.initialize reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.llf reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.llf_obs reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.load reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.loglikelihood_burn reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.mae reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.mse reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.news reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.normalized_cov_params reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.plot_diagnostics reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.predict reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.pvalues reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.remove_data reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.resid reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.save reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.simulate reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.sse reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.states reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.summary reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.t_test reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.t_test_pairwise reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.test_heteroskedasticity reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.test_normality reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.test_serial_correlation reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.tvalues reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.use_t reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.wald_test reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.wald_test_terms reading sources... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.zvalues reading sources... [ 94%] generated/statsmodels.tsa.stattools.acf reading sources... [ 94%] generated/statsmodels.tsa.stattools.acovf reading sources... [ 94%] generated/statsmodels.tsa.stattools.adfuller reading sources... [ 94%] generated/statsmodels.tsa.stattools.arma_order_select_ic reading sources... [ 94%] generated/statsmodels.tsa.stattools.bds reading sources... [ 94%] generated/statsmodels.tsa.stattools.breakvar_heteroskedasticity_test reading sources... [ 94%] generated/statsmodels.tsa.stattools.ccf reading sources... [ 94%] generated/statsmodels.tsa.stattools.ccovf reading sources... [ 94%] generated/statsmodels.tsa.stattools.coint reading sources... [ 94%] generated/statsmodels.tsa.stattools.grangercausalitytests reading sources... [ 94%] generated/statsmodels.tsa.stattools.innovations_algo reading sources... [ 94%] generated/statsmodels.tsa.stattools.innovations_filter reading sources... [ 94%] generated/statsmodels.tsa.stattools.kpss reading sources... [ 94%] generated/statsmodels.tsa.stattools.levinson_durbin reading sources... [ 94%] generated/statsmodels.tsa.stattools.levinson_durbin_pacf reading sources... [ 94%] generated/statsmodels.tsa.stattools.pacf reading sources... [ 94%] generated/statsmodels.tsa.stattools.pacf_burg reading sources... [ 94%] generated/statsmodels.tsa.stattools.pacf_ols reading sources... [ 94%] generated/statsmodels.tsa.stattools.pacf_yw reading sources... [ 94%] generated/statsmodels.tsa.stattools.q_stat reading sources... [ 94%] generated/statsmodels.tsa.stattools.range_unit_root_test reading sources... [ 94%] generated/statsmodels.tsa.stattools.zivot_andrews reading sources... [ 94%] generated/statsmodels.tsa.tsatools.add_lag reading sources... [ 94%] generated/statsmodels.tsa.tsatools.add_trend reading sources... [ 94%] generated/statsmodels.tsa.tsatools.detrend reading sources... [ 94%] generated/statsmodels.tsa.tsatools.lagmat reading sources... [ 94%] generated/statsmodels.tsa.tsatools.lagmat2ds reading sources... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly reading sources... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly.getisinvertible reading sources... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly.getisstationary reading sources... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly.hstack reading sources... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly.hstackarma_minus1 reading sources... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly.reduceform reading sources... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly.stacksquare reading sources... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly.vstack reading sources... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly.vstackarma_minus1 reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.hypothesis_test_results.CausalityTestResults reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.hypothesis_test_results.CausalityTestResults.summary reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.hypothesis_test_results.HypothesisTestResults reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.hypothesis_test_results.HypothesisTestResults.summary reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.hypothesis_test_results.NormalityTestResults reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.hypothesis_test_results.NormalityTestResults.summary reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.hypothesis_test_results.WhitenessTestResults reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.hypothesis_test_results.WhitenessTestResults.summary reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.G reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.H reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.cov reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.cum_effect_cov reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.cum_effect_stderr reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.cum_errband_mc reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.err_band_sz1 reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.err_band_sz2 reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.err_band_sz3 reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.errband_mc reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.fevd_table reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.lr_effect_cov reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.lr_effect_stderr reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.plot reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.plot_cum_effects reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.stderr reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.check_order reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.check_rank reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.endog_names reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.exog_names reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.fit reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.from_formula reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.hessian reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.information reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.initialize reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.loglike reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.predict reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.score reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.y reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.acf reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.acorr reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.forecast reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.forecast_cov reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.forecast_interval reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.get_eq_index reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.intercept_longrun reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.is_stable reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.long_run_effects reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.ma_rep reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.mean reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.mse reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.orth_ma_rep reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.plot_acorr reading sources... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.plotsim reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.simulate_var reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.svar_ma_rep reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.to_vecm reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.acf reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.acorr reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.aic reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.bic reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.bse reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.cov_params reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.cov_ybar reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.detomega reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.df_model reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.df_resid reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.fevd reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.fittedvalues reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.forecast reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.forecast_cov reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.forecast_interval reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.fpe reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.get_eq_index reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.hqic reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.info_criteria reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.intercept_longrun reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.irf reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.irf_errband_mc reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.irf_resim reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.is_stable reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.llf reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.long_run_effects reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.ma_rep reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.mean reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.mse reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.orth_ma_rep reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.plot reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.plot_acorr reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.plot_forecast reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.plot_sample_acorr reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.plotsim reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.pvalues reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.pvalues_dt reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.pvalues_endog_lagged reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.reorder reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.resid reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.resid_acorr reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.resid_acov reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.resid_corr reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.roots reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.sample_acorr reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.sample_acov reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.sigma_u_mle reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.simulate_var reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.sirf_errband_mc reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.stderr reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.stderr_dt reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.stderr_endog_lagged reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.summary reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.svar_ma_rep reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.test_causality reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.test_inst_causality reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.test_normality reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.test_whiteness reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.to_vecm reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.tvalues reading sources... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.tvalues_dt reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.tvalues_endog_lagged reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.FEVD reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.FEVD.cov reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.FEVD.plot reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.FEVD.summary reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.LagOrderResults reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.LagOrderResults.summary reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.endog_names reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.exog_names reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.fit reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.from_formula reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.hessian reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.information reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.initialize reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.loglike reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.predict reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.score reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.select_order reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.y reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.acf reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.acorr reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.forecast reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.forecast_cov reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.forecast_interval reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.get_eq_index reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.intercept_longrun reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.is_stable reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.long_run_effects reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.ma_rep reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.mean reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.mse reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.orth_ma_rep reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.plot_acorr reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.plotsim reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.simulate_var reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.to_vecm reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.acf reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.acorr reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.aic reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.bic reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.bse reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.cov_params reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.cov_ybar reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.detomega reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.df_model reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.df_resid reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.fevd reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.fittedvalues reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.forecast reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.forecast_cov reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.forecast_interval reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.fpe reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.get_eq_index reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.hqic reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.info_criteria reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.intercept_longrun reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.irf reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.irf_errband_mc reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.irf_resim reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.is_stable reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.llf reading sources... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.long_run_effects reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.ma_rep reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.mean reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.mse reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.orth_ma_rep reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.plot reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.plot_acorr reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.plot_forecast reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.plot_sample_acorr reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.plotsim reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.pvalues reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.pvalues_dt reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.pvalues_endog_lagged reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.reorder reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.resid reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.resid_acorr reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.resid_acov reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.resid_corr reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.roots reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.sample_acorr reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.sample_acov reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.sigma_u_mle reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.simulate_var reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.stderr reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.stderr_dt reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.stderr_endog_lagged reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.summary reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.test_causality reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.test_inst_causality reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.test_normality reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.test_whiteness reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.to_vecm reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.tvalues reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.tvalues_dt reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.tvalues_endog_lagged reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.CointRankResults reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.CointRankResults.summary reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.cvm reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.cvt reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.eig reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.evec reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.ind reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.lr1 reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.lr2 reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.max_eig_stat reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.max_eig_stat_crit_vals reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.meth reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.r0t reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.rkt reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.trace_stat reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.trace_stat_crit_vals reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.endog_names reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.exog_names reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.fit reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.from_formula reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.hessian reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.information reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.initialize reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.loglike reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.predict reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.score reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults reading sources... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.conf_int_alpha reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.conf_int_beta reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.conf_int_det_coef reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.conf_int_det_coef_coint reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.conf_int_gamma reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.cov_params_default reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.cov_params_wo_det reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.cov_var_repr reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.fittedvalues reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.irf reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.llf reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.ma_rep reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.orth_ma_rep reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.plot_data reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.plot_forecast reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.predict reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_alpha reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_beta reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_det_coef reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_det_coef_coint reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_gamma reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.resid reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_alpha reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_beta reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_coint reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_det_coef reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_det_coef_coint reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_gamma reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_params reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.summary reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.test_granger_causality reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.test_inst_causality reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.test_normality reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.test_whiteness reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_alpha reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_beta reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_det_coef reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_det_coef_coint reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_gamma reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.var_rep reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.coint_johansen reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.select_coint_rank reading sources... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.select_order reading sources... [ 99%] generated/statsmodels.tsa.x13.x13_arima_analysis reading sources... [ 99%] generated/statsmodels.tsa.x13.x13_arima_select_order reading sources... [ 99%] gettingstarted reading sources... [ 99%] glm reading sources... [ 99%] gmm reading sources... [ 99%] graphics reading sources... [ 99%] imputation reading sources... [ 99%] index reading sources... [ 99%] install reading sources... [ 99%] iolib reading sources... [ 99%] large_data reading sources... [ 99%] miscmodels reading sources... [ 99%] missing reading sources... [ 99%] mixed_glm reading sources... [ 99%] mixed_linear reading sources... [ 99%] multivariate reading sources... [ 99%] nonparametric reading sources... [ 99%] optimization reading sources... [ 99%] other_models reading sources... [ 99%] pitfalls reading sources... [ 99%] regression reading sources... [ 99%] release/index reading sources... [ 99%] release/old_changes reading sources... [100%] release/version0.10 reading sources... [100%] release/version0.10.1 reading sources... [100%] release/version0.10.2 reading sources... [100%] release/version0.11 reading sources... [100%] release/version0.11.1 reading sources... [100%] release/version0.12 reading sources... [100%] release/version0.12.1 reading sources... [100%] release/version0.13.0 reading sources... [100%] release/version0.13.1 reading sources... [100%] release/version0.13.2 reading sources... [100%] release/version0.13.3 reading sources... [100%] release/version0.13.4-5 reading sources... [100%] release/version0.14.0 reading sources... [100%] release/version0.14.1 reading sources... [100%] release/version0.14.2 reading sources... [100%] release/version0.14.3 reading sources... [100%] release/version0.14.4 reading sources... [100%] release/version0.14.5 reading sources... [100%] release/version0.5 reading sources... [100%] release/version0.6 reading sources... [100%] release/version0.7 reading sources... [100%] release/version0.8 reading sources... [100%] release/version0.9 reading sources... [100%] rlm reading sources... [100%] rlm_techn1 reading sources... [100%] sandbox reading sources... [100%] statespace reading sources... [100%] stats reading sources... [100%] tools reading sources... [100%] treatment reading sources... [100%] tsa reading sources... [100%] user-guide reading sources... [100%] vector_ar WARNING: Summarised items should not include the current module. Replace 'statsmodels.tools.print_version.show_versions' with 'tools.print_version.show_versions'. [autosummary.import_cycle] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/anova.rst:6: WARNING: Duplicate explicit target name: "anova". [docutils] WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 50 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- ConnectionRefusedError Traceback (most recent call last) File /usr/lib/python3.13/urllib/request.py:1319, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args) 1318 try: -> 1319 h.request(req.get_method(), req.selector, req.data, headers, 1320 encode_chunked=req.has_header('Transfer-encoding')) 1321 except OSError as err: # timeout error File /usr/lib/python3.13/http/client.py:1338, in HTTPConnection.request(self, method, url, body, headers, encode_chunked) 1337 """Send a complete request to the server.""" -> 1338 self._send_request(method, url, body, headers, encode_chunked) File /usr/lib/python3.13/http/client.py:1384, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked) 1383 body = _encode(body, 'body') -> 1384 self.endheaders(body, encode_chunked=encode_chunked) File /usr/lib/python3.13/http/client.py:1333, in HTTPConnection.endheaders(self, message_body, encode_chunked) 1332 raise CannotSendHeader() -> 1333 self._send_output(message_body, encode_chunked=encode_chunked) File /usr/lib/python3.13/http/client.py:1093, in HTTPConnection._send_output(self, message_body, encode_chunked) 1092 del self._buffer[:] -> 1093 self.send(msg) 1095 if message_body is not None: 1096 1097 # create a consistent interface to message_body File /usr/lib/python3.13/http/client.py:1037, in HTTPConnection.send(self, data) 1036 if self.auto_open: -> 1037 self.connect() 1038 else: File /usr/lib/python3.13/http/client.py:1472, in HTTPSConnection.connect(self) 1470 "Connect to a host on a given (SSL) port." -> 1472 super().connect() 1474 if self._tunnel_host: File /usr/lib/python3.13/http/client.py:1003, in HTTPConnection.connect(self) 1002 sys.audit("http.client.connect", self, self.host, self.port) -> 1003 self.sock = self._create_connection( 1004 (self.host,self.port), self.timeout, self.source_address) 1005 # Might fail in OSs that don't implement TCP_NODELAY File /usr/lib/python3.13/socket.py:864, in create_connection(address, timeout, source_address, all_errors) 863 if not all_errors: --> 864 raise exceptions[0] 865 raise ExceptionGroup("create_connection failed", exceptions) File /usr/lib/python3.13/socket.py:849, in create_connection(address, timeout, source_address, all_errors) 848 sock.bind(source_address) --> 849 sock.connect(sa) 850 # Break explicitly a reference cycle ConnectionRefusedError: [Errno 111] Connection refused During handling of the above exception, another exception occurred: URLError Traceback (most recent call last) Cell In[3], line 1 ----> 1 hsb2 = pandas.read_csv(url) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1026, in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, date_format, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options, dtype_backend) 1013 kwds_defaults = _refine_defaults_read( 1014 dialect, 1015 delimiter, (...) 1022 dtype_backend=dtype_backend, 1023 ) 1024 kwds.update(kwds_defaults) -> 1026 return _read(filepath_or_buffer, kwds) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:620, in _read(filepath_or_buffer, kwds) 617 _validate_names(kwds.get("names", None)) 619 # Create the parser. --> 620 parser = TextFileReader(filepath_or_buffer, **kwds) 622 if chunksize or iterator: 623 return parser File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1620, in TextFileReader.__init__(self, f, engine, **kwds) 1617 self.options["has_index_names"] = kwds["has_index_names"] 1619 self.handles: IOHandles | None = None -> 1620 self._engine = self._make_engine(f, self.engine) File /usr/lib/python3/dist-packages/pandas/io/parsers/readers.py:1880, in TextFileReader._make_engine(self, f, engine) 1878 if "b" not in mode: 1879 mode += "b" -> 1880 self.handles = get_handle( 1881 f, 1882 mode, 1883 encoding=self.options.get("encoding", None), 1884 compression=self.options.get("compression", None), 1885 memory_map=self.options.get("memory_map", False), 1886 is_text=is_text, 1887 errors=self.options.get("encoding_errors", "strict"), 1888 storage_options=self.options.get("storage_options", None), 1889 ) 1890 assert self.handles is not None 1891 f = self.handles.handle File /usr/lib/python3/dist-packages/pandas/io/common.py:728, in get_handle(path_or_buf, mode, encoding, compression, memory_map, is_text, errors, storage_options) 725 codecs.lookup_error(errors) 727 # open URLs --> 728 ioargs = _get_filepath_or_buffer( 729 path_or_buf, 730 encoding=encoding, 731 compression=compression, 732 mode=mode, 733 storage_options=storage_options, 734 ) 736 handle = ioargs.filepath_or_buffer 737 handles: list[BaseBuffer] File /usr/lib/python3/dist-packages/pandas/io/common.py:384, in _get_filepath_or_buffer(filepath_or_buffer, encoding, compression, mode, storage_options) 382 # assuming storage_options is to be interpreted as headers 383 req_info = urllib.request.Request(filepath_or_buffer, headers=storage_options) --> 384 with urlopen(req_info) as req: 385 content_encoding = req.headers.get("Content-Encoding", None) 386 if content_encoding == "gzip": 387 # Override compression based on Content-Encoding header File /usr/lib/python3/dist-packages/pandas/io/common.py:289, in urlopen(*args, **kwargs) 283 """ 284 Lazy-import wrapper for stdlib urlopen, as that imports a big chunk of 285 the stdlib. 286 """ 287 import urllib.request --> 289 return urllib.request.urlopen(*args, **kwargs) File /usr/lib/python3.13/urllib/request.py:189, in urlopen(url, data, timeout, context) 187 else: 188 opener = _opener --> 189 return opener.open(url, data, timeout) File /usr/lib/python3.13/urllib/request.py:489, in OpenerDirector.open(self, fullurl, data, timeout) 486 req = meth(req) 488 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method()) --> 489 response = self._open(req, data) 491 # post-process response 492 meth_name = protocol+"_response" File /usr/lib/python3.13/urllib/request.py:506, in OpenerDirector._open(self, req, data) 503 return result 505 protocol = req.type --> 506 result = self._call_chain(self.handle_open, protocol, protocol + 507 '_open', req) 508 if result: 509 return result File /usr/lib/python3.13/urllib/request.py:466, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args) 464 for handler in handlers: 465 func = getattr(handler, meth_name) --> 466 result = func(*args) 467 if result is not None: 468 return result File /usr/lib/python3.13/urllib/request.py:1367, in HTTPSHandler.https_open(self, req) 1366 def https_open(self, req): -> 1367 return self.do_open(http.client.HTTPSConnection, req, 1368 context=self._context) File /usr/lib/python3.13/urllib/request.py:1322, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args) 1319 h.request(req.get_method(), req.selector, req.data, headers, 1320 encode_chunked=req.has_header('Transfer-encoding')) 1321 except OSError as err: # timeout error -> 1322 raise URLError(err) 1323 r = h.getresponse() 1324 except: URLError: <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 56 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[4], line 1 ----> 1 hsb2.groupby('race')['write'].mean() NameError: name 'hsb2' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 74 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[9], line 1 ----> 1 contrast.matrix[hsb2.race-1, :][:20] NameError: name 'hsb2' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 83 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[11], line 1 ----> 1 mod = ols("write ~ C(race, Treatment)", data=hsb2) NameError: name 'hsb2' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 83 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[12], line 1 ----> 1 res = mod.fit() NameError: name 'mod' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 83 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[13], line 1 ----> 1 print(res.summary()) NameError: name 'res' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 100 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[16], line 1 ----> 1 mod = ols("write ~ C(race, Simple)", data=hsb2) NameError: name 'hsb2' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 100 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[17], line 1 ----> 1 res = mod.fit() NameError: name 'mod' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 100 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[18], line 1 ----> 1 print(res.summary()) NameError: name 'res' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 115 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[22], line 1 ----> 1 mod = ols("write ~ C(race, Sum)", data=hsb2) NameError: name 'hsb2' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 115 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[23], line 1 ----> 1 res = mod.fit() NameError: name 'mod' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 115 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[24], line 1 ----> 1 print(res.summary()) NameError: name 'res' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 121 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[25], line 1 ----> 1 hsb2.groupby('race')['write'].mean().mean() NameError: name 'hsb2' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 136 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[29], line 1 ----> 1 mod = ols("write ~ C(race, Diff)", data=hsb2) NameError: name 'hsb2' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 136 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[30], line 1 ----> 1 res = mod.fit() NameError: name 'mod' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 136 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[31], line 1 ----> 1 print(res.summary()) NameError: name 'res' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 144 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[32], line 1 ----> 1 res.params["C(race, Diff)[D.1]"] NameError: name 'res' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 144 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[33], line 1 ----> 1 hsb2.groupby('race').mean()["write"].loc[2] - \ 2 hsb2.groupby('race').mean()["write"].loc[1] NameError: name 'hsb2' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 159 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[37], line 1 ----> 1 mod = ols("write ~ C(race, Helmert)", data=hsb2) NameError: name 'hsb2' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 159 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[38], line 1 ----> 1 res = mod.fit() NameError: name 'mod' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 159 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[39], line 1 ----> 1 print(res.summary()) NameError: name 'res' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 166 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[40], line 1 ----> 1 grouped = hsb2.groupby('race') NameError: name 'hsb2' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 166 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[41], line 1 ----> 1 grouped.mean()["write"].loc[4] - grouped.mean()["write"].loc[:3].mean() NameError: name 'grouped' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 176 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[43], line 1 ----> 1 1./k * (grouped.mean()["write"].loc[k] - grouped.mean()["write"].loc[:k-1].mean()) NameError: name 'grouped' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 176 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[45], line 1 ----> 1 1./k * (grouped.mean()["write"].loc[k] - grouped.mean()["write"].loc[:k-1].mean()) NameError: name 'grouped' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 191 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[46], line 1 ----> 1 _, bins = np.histogram(hsb2.read, 3) NameError: name 'hsb2' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 191 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[47], line 2 1 try: # requires numpy main ----> 2 readcat = np.digitize(hsb2.read, bins, True) 3 except: NameError: name 'hsb2' is not defined During handling of the above exception, another exception occurred: NameError Traceback (most recent call last) Cell In[47], line 4 2 readcat = np.digitize(hsb2.read, bins, True) 3 except: ----> 4 readcat = np.digitize(hsb2.read, bins) NameError: name 'hsb2' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 191 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[48], line 1 ----> 1 hsb2['readcat'] = readcat NameError: name 'readcat' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 191 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[49], line 1 ----> 1 hsb2.groupby('readcat').mean()['write'] NameError: name 'hsb2' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 202 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[51], line 1 ----> 1 levels = hsb2.readcat.unique().tolist() NameError: name 'hsb2' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 202 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[54], line 1 ----> 1 mod = ols("write ~ C(readcat, Poly)", data=hsb2) NameError: name 'hsb2' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 202 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[55], line 1 ----> 1 res = mod.fit() NameError: name 'mod' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 202 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[56], line 1 ----> 1 print(res.summary()) NameError: name 'res' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/contrasts.rst at block ending on line 237 Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[60], line 1 ----> 1 mod = ols("write ~ C(race, Simple)", data=hsb2) 2 res = mod.fit() 3 print(res.summary()) NameError: name 'hsb2' is not defined <<<------------------------------------------------------------------------- /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:docstring of statsmodels.base.model.GenericLikelihoodModelResults.aic:1: WARNING: duplicate object description of statsmodels.base.model.GenericLikelihoodModelResults.aic, other instance in dev/generated/statsmodels.base.model.GenericLikelihoodModelResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:docstring of statsmodels.base.model.GenericLikelihoodModelResults.bic:1: WARNING: duplicate object description of statsmodels.base.model.GenericLikelihoodModelResults.bic, other instance in dev/generated/statsmodels.base.model.GenericLikelihoodModelResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:docstring of statsmodels.base.model.GenericLikelihoodModelResults.bse:1: WARNING: duplicate object description of statsmodels.base.model.GenericLikelihoodModelResults.bse, other instance in dev/generated/statsmodels.base.model.GenericLikelihoodModelResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:docstring of statsmodels.base.model.GenericLikelihoodModelResults.llf:1: WARNING: duplicate object description of statsmodels.base.model.GenericLikelihoodModelResults.llf, other instance in dev/generated/statsmodels.base.model.GenericLikelihoodModelResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:docstring of statsmodels.base.model.LikelihoodModelResults.tvalues:1: WARNING: duplicate object description of statsmodels.base.model.LikelihoodModelResults.tvalues, other instance in dev/generated/statsmodels.base.model.LikelihoodModelResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:docstring of statsmodels.base.model.Model.endog_names:1: WARNING: duplicate object description of statsmodels.base.model.Model.endog_names, other instance in dev/generated/statsmodels.base.model.Model, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:docstring of statsmodels.base.model.Model.exog_names:1: WARNING: duplicate object description of statsmodels.base.model.Model.exog_names, other instance in dev/generated/statsmodels.base.model.Model, use :no-index: for one of them WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- ConnectionRefusedError Traceback (most recent call last) File /usr/lib/python3.13/urllib/request.py:1319, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args) 1318 try: -> 1319 h.request(req.get_method(), req.selector, req.data, headers, 1320 encode_chunked=req.has_header('Transfer-encoding')) 1321 except OSError as err: # timeout error File /usr/lib/python3.13/http/client.py:1338, in HTTPConnection.request(self, method, url, body, headers, encode_chunked) 1337 """Send a complete request to the server.""" -> 1338 self._send_request(method, url, body, headers, encode_chunked) File /usr/lib/python3.13/http/client.py:1384, in HTTPConnection._send_request(self, method, url, body, headers, encode_chunked) 1383 body = _encode(body, 'body') -> 1384 self.endheaders(body, encode_chunked=encode_chunked) File /usr/lib/python3.13/http/client.py:1333, in HTTPConnection.endheaders(self, message_body, encode_chunked) 1332 raise CannotSendHeader() -> 1333 self._send_output(message_body, encode_chunked=encode_chunked) File /usr/lib/python3.13/http/client.py:1093, in HTTPConnection._send_output(self, message_body, encode_chunked) 1092 del self._buffer[:] -> 1093 self.send(msg) 1095 if message_body is not None: 1096 1097 # create a consistent interface to message_body File /usr/lib/python3.13/http/client.py:1037, in HTTPConnection.send(self, data) 1036 if self.auto_open: -> 1037 self.connect() 1038 else: File /usr/lib/python3.13/http/client.py:1472, in HTTPSConnection.connect(self) 1470 "Connect to a host on a given (SSL) port." -> 1472 super().connect() 1474 if self._tunnel_host: File /usr/lib/python3.13/http/client.py:1003, in HTTPConnection.connect(self) 1002 sys.audit("http.client.connect", self, self.host, self.port) -> 1003 self.sock = self._create_connection( 1004 (self.host,self.port), self.timeout, self.source_address) 1005 # Might fail in OSs that don't implement TCP_NODELAY File /usr/lib/python3.13/socket.py:864, in create_connection(address, timeout, source_address, all_errors) 863 if not all_errors: --> 864 raise exceptions[0] 865 raise ExceptionGroup("create_connection failed", exceptions) File /usr/lib/python3.13/socket.py:849, in create_connection(address, timeout, source_address, all_errors) 848 sock.bind(source_address) --> 849 sock.connect(sa) 850 # Break explicitly a reference cycle ConnectionRefusedError: [Errno 111] Connection refused During handling of the above exception, another exception occurred: URLError Traceback (most recent call last) Cell In[2], line 1 ----> 1 data = sm.datasets.get_rdataset("flchain", "survival", cache=True).data File /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/utils.py:237, in get_rdataset(dataname, package, cache) 234 docs_base_url = ("https://raw.githubusercontent.com/vincentarelbundock/Rdatasets/" 235 "master/doc/"+package+"/rst/") 236 cache = _get_cache(cache) --> 237 data, from_cache = _get_data(data_base_url, dataname, cache) 238 data = read_csv(data, index_col=0) 239 data = _maybe_reset_index(data) File /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/utils.py:166, in _get_data(base_url, dataname, cache, extension) 164 url = base_url + (dataname + ".%s") % extension 165 try: --> 166 data, from_cache = _urlopen_cached(url, cache) 167 except HTTPError as err: 168 if '404' in str(err): File /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/utils.py:157, in _urlopen_cached(url, cache) 155 # not using the cache or did not find it in cache 156 if not from_cache: --> 157 data = urlopen(url, timeout=3).read() 158 if cache is not None: # then put it in the cache 159 _cache_it(data, cache_path) File /usr/lib/python3.13/urllib/request.py:189, in urlopen(url, data, timeout, context) 187 else: 188 opener = _opener --> 189 return opener.open(url, data, timeout) File /usr/lib/python3.13/urllib/request.py:489, in OpenerDirector.open(self, fullurl, data, timeout) 486 req = meth(req) 488 sys.audit('urllib.Request', req.full_url, req.data, req.headers, req.get_method()) --> 489 response = self._open(req, data) 491 # post-process response 492 meth_name = protocol+"_response" File /usr/lib/python3.13/urllib/request.py:506, in OpenerDirector._open(self, req, data) 503 return result 505 protocol = req.type --> 506 result = self._call_chain(self.handle_open, protocol, protocol + 507 '_open', req) 508 if result: 509 return result File /usr/lib/python3.13/urllib/request.py:466, in OpenerDirector._call_chain(self, chain, kind, meth_name, *args) 464 for handler in handlers: 465 func = getattr(handler, meth_name) --> 466 result = func(*args) 467 if result is not None: 468 return result File /usr/lib/python3.13/urllib/request.py:1367, in HTTPSHandler.https_open(self, req) 1366 def https_open(self, req): -> 1367 return self.do_open(http.client.HTTPSConnection, req, 1368 context=self._context) File /usr/lib/python3.13/urllib/request.py:1322, in AbstractHTTPHandler.do_open(self, http_class, req, **http_conn_args) 1319 h.request(req.get_method(), req.selector, req.data, headers, 1320 encode_chunked=req.has_header('Transfer-encoding')) 1321 except OSError as err: # timeout error -> 1322 raise URLError(err) 1323 r = h.getresponse() 1324 except: URLError: <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Cell In[3], line 1 ----> 1 df = data.loc[data.sex == "F", :] AttributeError: 'Dataset' object has no attribute 'loc' <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- KeyError Traceback (most recent call last) File /usr/lib/python3/dist-packages/pandas/core/indexes/base.py:3805, in Index.get_loc(self, key) 3804 try: -> 3805 return self._engine.get_loc(casted_key) 3806 except KeyError as err: File /usr/lib/python3/dist-packages/pandas/_libs/index.pyx:167, in pandas._libs.index.IndexEngine.get_loc() File /usr/lib/python3/dist-packages/pandas/_libs/index.pyx:196, in pandas._libs.index.IndexEngine.get_loc() File pandas/_libs/hashtable_class_helper.pxi:7081, in pandas._libs.hashtable.PyObjectHashTable.get_item() File pandas/_libs/hashtable_class_helper.pxi:7089, in pandas._libs.hashtable.PyObjectHashTable.get_item() KeyError: 'futime' The above exception was the direct cause of the following exception: KeyError Traceback (most recent call last) Cell In[4], line 1 ----> 1 sf = sm.SurvfuncRight(df["futime"], df["death"]) File /usr/lib/python3/dist-packages/pandas/core/frame.py:4102, in DataFrame.__getitem__(self, key) 4100 if self.columns.nlevels > 1: 4101 return self._getitem_multilevel(key) -> 4102 indexer = self.columns.get_loc(key) 4103 if is_integer(indexer): 4104 indexer = [indexer] File /usr/lib/python3/dist-packages/pandas/core/indexes/base.py:3812, in Index.get_loc(self, key) 3807 if isinstance(casted_key, slice) or ( 3808 isinstance(casted_key, abc.Iterable) 3809 and any(isinstance(x, slice) for x in casted_key) 3810 ): 3811 raise InvalidIndexError(key) -> 3812 raise KeyError(key) from err 3813 except TypeError: 3814 # If we have a listlike key, _check_indexing_error will raise 3815 # InvalidIndexError. Otherwise we fall through and re-raise 3816 # the TypeError. 3817 self._check_indexing_error(key) KeyError: 'futime' <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[5], line 1 ----> 1 sf.summary().head() NameError: name 'sf' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[6], line 1 ----> 1 sf.quantile(0.25) NameError: name 'sf' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[7], line 1 ----> 1 sf.quantile_ci(0.25) NameError: name 'sf' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[8], line 1 ----> 1 sf.plot() NameError: name 'sf' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[9], line 1 ----> 1 fig = sf.plot() NameError: name 'sf' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- IndexError Traceback (most recent call last) Cell In[10], line 1 ----> 1 ax = fig.get_axes()[0] IndexError: list index out of range <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[11], line 1 ----> 1 pt = ax.get_lines()[1] NameError: name 'ax' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[12], line 1 ----> 1 pt.set_visible(False) NameError: name 'pt' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[13], line 1 ----> 1 fig = sf.plot() NameError: name 'sf' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[14], line 1 ----> 1 lcb, ucb = sf.simultaneous_cb() NameError: name 'sf' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- IndexError Traceback (most recent call last) Cell In[15], line 1 ----> 1 ax = fig.get_axes()[0] IndexError: list index out of range <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[16], line 1 ----> 1 ax.fill_between(sf.surv_times, lcb, ucb, color='lightgrey') NameError: name 'ax' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[17], line 1 ----> 1 ax.set_xlim(365, 365*10) NameError: name 'ax' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[18], line 1 ----> 1 ax.set_ylim(0.7, 1) NameError: name 'ax' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[19], line 1 ----> 1 ax.set_ylabel("Proportion alive") NameError: name 'ax' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[20], line 1 ----> 1 ax.set_xlabel("Days since enrollment") NameError: name 'ax' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Cell In[22], line 1 ----> 1 gb = data.groupby("sex") AttributeError: 'Dataset' object has no attribute 'groupby' <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[25], line 1 ----> 1 for g in gb: 2 sexes.append(g[0]) 3 sf = sm.SurvfuncRight(g[1]["futime"], g[1]["death"]) NameError: name 'gb' is not defined <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- IndexError Traceback (most recent call last) Cell In[27], line 1 ----> 1 li[1].set_visible(False) IndexError: list index out of range <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- IndexError Traceback (most recent call last) Cell In[28], line 1 ----> 1 li[3].set_visible(False) IndexError: list index out of range <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- IndexError Traceback (most recent call last) Cell In[29], line 1 ----> 1 plt.figlegend((li[0], li[2]), sexes, loc="center right") IndexError: list index out of range <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Cell In[33], line 1 ----> 1 stat, pv = sm.duration.survdiff(data.futime, data.death, data.sex) AttributeError: 'Dataset' object has no attribute 'futime' <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Cell In[34], line 1 ----> 1 stat, pv = sm.duration.survdiff(data.futime, data.death, data.sex, weight_type='fh', fh_p=1) AttributeError: 'Dataset' object has no attribute 'futime' <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Cell In[35], line 1 ----> 1 stat, pv = sm.duration.survdiff(data.futime, data.death, data.sex, weight_type='gb') AttributeError: 'Dataset' object has no attribute 'futime' <<<------------------------------------------------------------------------- WARNING: >>>------------------------------------------------------------------------- Exception in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/duration.rst at block ending on line None Specify :okexcept: as an option in the ipython:: block to suppress this message --------------------------------------------------------------------------- AttributeError Traceback (most recent call last) Cell In[36], line 1 ----> 1 stat, pv = sm.duration.survdiff(data.futime, data.death, data.sex, weight_type='tw') AttributeError: 'Dataset' object has no attribute 'futime' <<<------------------------------------------------------------------------- /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/formulas.ipynb:156: WARNING: File not found: 'examples/notebooks/generated/regression_diagnostics.html' [nbsphinx.localfile] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/examples/notebooks/generated/formulas.ipynb:234: WARNING: File not found: 'examples/notebooks/generated/contrasts.html' [nbsphinx.localfile] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/count_model.py:docstring of statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.llf:1: WARNING: duplicate object description of statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.llf, other instance in generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/count_model.py:docstring of statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.llf:1: WARNING: duplicate object description of statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.llf, other instance in generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/count_model.py:docstring of statsmodels.discrete.count_model.ZeroInflatedPoissonResults.llf:1: WARNING: duplicate object description of statsmodels.discrete.count_model.ZeroInflatedPoissonResults.llf, other instance in generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.BinaryResults.llf:1: WARNING: duplicate object description of statsmodels.discrete.discrete_model.BinaryResults.llf, other instance in generated/statsmodels.discrete.discrete_model.BinaryResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.CountResults.llf:1: WARNING: duplicate object description of statsmodels.discrete.discrete_model.CountResults.llf, other instance in generated/statsmodels.discrete.discrete_model.CountResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.DiscreteResults.llf:1: WARNING: duplicate object description of statsmodels.discrete.discrete_model.DiscreteResults.llf, other instance in generated/statsmodels.discrete.discrete_model.DiscreteResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.GeneralizedPoissonResults.llf:1: WARNING: duplicate object description of statsmodels.discrete.discrete_model.GeneralizedPoissonResults.llf, other instance in generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.LogitResults.llf:1: WARNING: duplicate object description of statsmodels.discrete.discrete_model.LogitResults.llf, other instance in generated/statsmodels.discrete.discrete_model.LogitResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.MultinomialResults.llf:1: WARNING: duplicate object description of statsmodels.discrete.discrete_model.MultinomialResults.llf, other instance in generated/statsmodels.discrete.discrete_model.MultinomialResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.NegativeBinomialResults.llf:1: WARNING: duplicate object description of statsmodels.discrete.discrete_model.NegativeBinomialResults.llf, other instance in generated/statsmodels.discrete.discrete_model.NegativeBinomialResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.ProbitResults.llf:1: WARNING: duplicate object description of statsmodels.discrete.discrete_model.ProbitResults.llf, other instance in generated/statsmodels.discrete.discrete_model.ProbitResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/truncated_model.py:docstring of statsmodels.discrete.truncated_model.HurdleCountResults.llf:1: WARNING: duplicate object description of statsmodels.discrete.truncated_model.HurdleCountResults.llf, other instance in generated/statsmodels.discrete.truncated_model.HurdleCountResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/truncated_model.py:docstring of statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.llf:1: WARNING: duplicate object description of statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.llf, other instance in generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/truncated_model.py:docstring of statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.llf:1: WARNING: duplicate object description of statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.llf, other instance in generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/copula/elliptical.py:docstring of statsmodels.distributions.copula.elliptical.GaussianCopula:46: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/copula/elliptical.py:docstring of statsmodels.distributions.copula.elliptical.StudentTCopula:24: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/hazard_regression.py:docstring of statsmodels.duration.hazard_regression.PHRegResults.bse:1: WARNING: duplicate object description of statsmodels.duration.hazard_regression.PHRegResults.bse, other instance in generated/statsmodels.duration.hazard_regression.PHRegResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:docstring of statsmodels.base.model.LikelihoodModelResults.normalized_cov_params:1: WARNING: duplicate object description of statsmodels.duration.hazard_regression.PHRegResults.normalized_cov_params, other instance in generated/statsmodels.duration.hazard_regression.PHRegResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/generalized_additive_model.py:docstring of statsmodels.gam.generalized_additive_model.GLMGamResults.cv:1: WARNING: duplicate object description of statsmodels.gam.generalized_additive_model.GLMGamResults.cv, other instance in generated/statsmodels.gam.generalized_additive_model.GLMGamResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/generalized_additive_model.py:docstring of statsmodels.gam.generalized_additive_model.GLMGamResults.edf:1: WARNING: duplicate object description of statsmodels.gam.generalized_additive_model.GLMGamResults.edf, other instance in generated/statsmodels.gam.generalized_additive_model.GLMGamResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/generalized_additive_model.py:docstring of statsmodels.gam.generalized_additive_model.GLMGamResults.gcv:1: WARNING: duplicate object description of statsmodels.gam.generalized_additive_model.GLMGamResults.gcv, other instance in generated/statsmodels.gam.generalized_additive_model.GLMGamResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/generalized_additive_model.py:docstring of statsmodels.gam.generalized_additive_model.GLMGamResults.hat_matrix_diag:1: WARNING: duplicate object description of statsmodels.gam.generalized_additive_model.GLMGamResults.hat_matrix_diag, other instance in generated/statsmodels.gam.generalized_additive_model.GLMGamResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/generalized_linear_model.py:docstring of statsmodels.genmod.generalized_linear_model.GLMResults.plot_ceres_residuals:47: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/generalized_linear_model.py:docstring of statsmodels.genmod.generalized_linear_model.GLMResults.plot_ceres_residuals:51: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/family.py:docstring of statsmodels.genmod.families.family.Binomial.link:1: WARNING: duplicate object description of statsmodels.genmod.families.family.Binomial.link, other instance in generated/statsmodels.genmod.families.family.Binomial, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/family.py:docstring of statsmodels.genmod.families.family.Binomial.variance:1: WARNING: duplicate object description of statsmodels.genmod.families.family.Binomial.variance, other instance in generated/statsmodels.genmod.families.family.Binomial, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/family.py:docstring of statsmodels.genmod.families.family.Gamma.link:1: WARNING: duplicate object description of statsmodels.genmod.families.family.Gamma.link, other instance in generated/statsmodels.genmod.families.family.Gamma, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/family.py:docstring of statsmodels.genmod.families.family.Gamma.variance:1: WARNING: duplicate object description of statsmodels.genmod.families.family.Gamma.variance, other instance in generated/statsmodels.genmod.families.family.Gamma, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/family.py:docstring of statsmodels.genmod.families.family.Gaussian.link:1: WARNING: duplicate object description of statsmodels.genmod.families.family.Gaussian.link, other instance in generated/statsmodels.genmod.families.family.Gaussian, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/family.py:docstring of statsmodels.genmod.families.family.Gaussian.variance:1: WARNING: duplicate object description of statsmodels.genmod.families.family.Gaussian.variance, other instance in generated/statsmodels.genmod.families.family.Gaussian, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/family.py:docstring of statsmodels.genmod.families.family.InverseGaussian.link:1: WARNING: duplicate object description of statsmodels.genmod.families.family.InverseGaussian.link, other instance in generated/statsmodels.genmod.families.family.InverseGaussian, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/family.py:docstring of statsmodels.genmod.families.family.InverseGaussian.variance:1: WARNING: duplicate object description of statsmodels.genmod.families.family.InverseGaussian.variance, other instance in generated/statsmodels.genmod.families.family.InverseGaussian, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/family.py:docstring of statsmodels.genmod.families.family.NegativeBinomial.link:1: WARNING: duplicate object description of statsmodels.genmod.families.family.NegativeBinomial.link, other instance in generated/statsmodels.genmod.families.family.NegativeBinomial, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/family.py:docstring of statsmodels.genmod.families.family.NegativeBinomial.variance:1: WARNING: duplicate object description of statsmodels.genmod.families.family.NegativeBinomial.variance, other instance in generated/statsmodels.genmod.families.family.NegativeBinomial, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/family.py:docstring of statsmodels.genmod.families.family.Poisson.link:1: WARNING: duplicate object description of statsmodels.genmod.families.family.Poisson.link, other instance in generated/statsmodels.genmod.families.family.Poisson, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/family.py:docstring of statsmodels.genmod.families.family.Poisson.variance:1: WARNING: duplicate object description of statsmodels.genmod.families.family.Poisson.variance, other instance in generated/statsmodels.genmod.families.family.Poisson, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/family.py:docstring of statsmodels.genmod.families.family.Tweedie.link:1: WARNING: duplicate object description of statsmodels.genmod.families.family.Tweedie.link, other instance in generated/statsmodels.genmod.families.family.Tweedie, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/family.py:docstring of statsmodels.genmod.families.family.Tweedie.variance:1: WARNING: duplicate object description of statsmodels.genmod.families.family.Tweedie.variance, other instance in generated/statsmodels.genmod.families.family.Tweedie, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/generalized_estimating_equations.py:docstring of statsmodels.genmod.generalized_estimating_equations.GEE.qic:40: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/generalized_estimating_equations.py:docstring of statsmodels.genmod.generalized_estimating_equations.GEEResults.bse:1: WARNING: duplicate object description of statsmodels.genmod.generalized_estimating_equations.GEEResults.bse, other instance in generated/statsmodels.genmod.generalized_estimating_equations.GEEResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/generalized_estimating_equations.py:docstring of statsmodels.genmod.generalized_estimating_equations.GEEResults.fittedvalues:1: WARNING: duplicate object description of statsmodels.genmod.generalized_estimating_equations.GEEResults.fittedvalues, other instance in generated/statsmodels.genmod.generalized_estimating_equations.GEEResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:docstring of statsmodels.base.model.LikelihoodModelResults.normalized_cov_params:1: WARNING: duplicate object description of statsmodels.genmod.generalized_estimating_equations.GEEResults.normalized_cov_params, other instance in generated/statsmodels.genmod.generalized_estimating_equations.GEEResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/generalized_estimating_equations.py:docstring of statsmodels.genmod.generalized_estimating_equations.GEEResults.plot_ceres_residuals:47: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/generalized_estimating_equations.py:docstring of statsmodels.genmod.generalized_estimating_equations.GEEResults.plot_ceres_residuals:51: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/generalized_estimating_equations.py:docstring of statsmodels.genmod.generalized_estimating_equations.GEE.qic:40: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/generalized_estimating_equations.py:docstring of statsmodels.genmod.generalized_estimating_equations.GEE.qic:40: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:docstring of statsmodels.base.model.LikelihoodModelResults.normalized_cov_params:1: WARNING: duplicate object description of statsmodels.genmod.generalized_linear_model.GLMResults.normalized_cov_params, other instance in generated/statsmodels.genmod.generalized_linear_model.GLMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/generalized_linear_model.py:docstring of statsmodels.genmod.generalized_linear_model.GLMResults.plot_ceres_residuals:47: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/generalized_linear_model.py:docstring of statsmodels.genmod.generalized_linear_model.GLMResults.plot_ceres_residuals:51: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/generalized_linear_model.py:docstring of statsmodels.genmod.generalized_linear_model.GLMResults.pvalues:1: WARNING: duplicate object description of statsmodels.genmod.generalized_linear_model.GLMResults.pvalues, other instance in generated/statsmodels.genmod.generalized_linear_model.GLMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/dotplots.py:docstring of statsmodels.graphics.dotplots.dot_plot:91: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/regressionplots.py:docstring of statsmodels.graphics.regressionplots.plot_ceres_residuals:49: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/regressionplots.py:docstring of statsmodels.graphics.regressionplots.plot_ceres_residuals:53: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/cancorr.py:docstring of statsmodels.multivariate.cancorr.CanCorr:43: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/cancorr.py:docstring of statsmodels.multivariate.cancorr.CanCorr:44: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/cancorr.py:docstring of statsmodels.multivariate.cancorr.CanCorr:45: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/factor.py:docstring of statsmodels.multivariate.factor.Factor:45: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/factor.py:docstring of statsmodels.multivariate.factor.Factor:47: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/manova.py:docstring of statsmodels.multivariate.manova.MANOVA:40: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/multivariate_ols.py:docstring of statsmodels.multivariate.multivariate_ols.MultivariateTestResults.summary_frame:1: WARNING: duplicate object description of statsmodels.multivariate.multivariate_ols.MultivariateTestResults.summary_frame, other instance in generated/statsmodels.multivariate.multivariate_ols.MultivariateTestResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/pca.py:docstring of statsmodels.multivariate.pca.PCA:193: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.multivariate.pca.pca.rst:2: WARNING: duplicate label generated/statsmodels.multivariate.pca.pca:statsmodels.multivariate.pca.pca, other instance in /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.multivariate.pca.PCA.rst [autosectionlabel.generated/statsmodels.multivariate.pca.pca] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_beta:14: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_beta:18: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_beta2:14: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_beta2:18: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_bs:14: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_bs:17: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_gamma:14: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_gamma:18: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_gamma2:14: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_gamma2:18: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_invgamma:14: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_invgauss:14: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_lognorm:18: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_recipinvgauss:14: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_weibull:14: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_beta:14: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_beta:18: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_beta2:14: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_beta2:18: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_bs:14: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_gamma:14: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_gamma:18: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_gamma2:14: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_gamma2:18: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_invgamma:16: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_invgauss:14: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_lognorm:18: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_recipinvgauss:14: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernels_asymmetric.py:docstring of statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_weibull:16: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/linear_model.py:docstring of statsmodels.regression.linear_model.GLS.df_model:1: WARNING: duplicate object description of statsmodels.regression.linear_model.GLS.df_model, other instance in generated/statsmodels.regression.linear_model.GLS, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/linear_model.py:docstring of statsmodels.regression.linear_model.GLS.df_resid:1: WARNING: duplicate object description of statsmodels.regression.linear_model.GLS.df_resid, other instance in generated/statsmodels.regression.linear_model.GLS, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/linear_model.py:docstring of statsmodels.regression.linear_model.GLS.fit_regularized:80: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/linear_model.py:docstring of statsmodels.regression.linear_model.GLS.fit_regularized:84: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/linear_model.py:docstring of statsmodels.regression.linear_model.GLS.fit_regularized:80: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/linear_model.py:docstring of statsmodels.regression.linear_model.GLS.fit_regularized:84: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/linear_model.py:docstring of statsmodels.regression.linear_model.OLS.fit_regularized:80: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/linear_model.py:docstring of statsmodels.regression.linear_model.OLS.fit_regularized:84: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/linear_model.py:docstring of statsmodels.regression.linear_model.WLS.fit_regularized:80: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/linear_model.py:docstring of statsmodels.regression.linear_model.WLS.fit_regularized:84: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/mixed_linear_model.py:docstring of statsmodels.regression.mixed_linear_model.MixedLMResults.bse_fe:1: WARNING: duplicate object description of statsmodels.regression.mixed_linear_model.MixedLMResults.bse_fe, other instance in generated/statsmodels.regression.mixed_linear_model.MixedLMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/mixed_linear_model.py:docstring of statsmodels.regression.mixed_linear_model.MixedLMResults.bse_re:1: WARNING: duplicate object description of statsmodels.regression.mixed_linear_model.MixedLMResults.bse_re, other instance in generated/statsmodels.regression.mixed_linear_model.MixedLMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:docstring of statsmodels.base.model.LikelihoodModelResults.normalized_cov_params:1: WARNING: duplicate object description of statsmodels.regression.mixed_linear_model.MixedLMResults.normalized_cov_params, other instance in generated/statsmodels.regression.mixed_linear_model.MixedLMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/recursive_ls.py:docstring of statsmodels.regression.recursive_ls.RecursiveLS:27: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/docstring of statsmodels.regression.recursive_ls.RecursiveLSResults.cusum:29: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/docstring of statsmodels.regression.recursive_ls.RecursiveLSResults.cusum_squares:23: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.info_criteria:41: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:64: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:68: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:71: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/recursive_ls.py:docstring of statsmodels.regression.recursive_ls.RecursiveLSResults.plot_cusum:22: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/recursive_ls.py:docstring of statsmodels.regression.recursive_ls.RecursiveLSResults.plot_cusum_squares:25: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/norms.py:docstring of statsmodels.robust.norms.MQuantileNorm:30: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/norms.py:docstring of statsmodels.robust.norms.MQuantileNorm:35: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/norms.py:docstring of statsmodels.robust.norms.MQuantileNorm:38: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/norms.py:docstring of statsmodels.robust.norms.MQuantileNorm:42: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/robust_linear_model.py:docstring of statsmodels.robust.robust_linear_model.RLMResults.bcov_scaled:1: WARNING: duplicate object description of statsmodels.robust.robust_linear_model.RLMResults.bcov_scaled, other instance in generated/statsmodels.robust.robust_linear_model.RLMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/robust_linear_model.py:docstring of statsmodels.robust.robust_linear_model.RLMResults.bcov_unscaled:1: WARNING: duplicate object description of statsmodels.robust.robust_linear_model.RLMResults.bcov_unscaled, other instance in generated/statsmodels.robust.robust_linear_model.RLMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/robust_linear_model.py:docstring of statsmodels.robust.robust_linear_model.RLMResults.bse:1: WARNING: duplicate object description of statsmodels.robust.robust_linear_model.RLMResults.bse, other instance in generated/statsmodels.robust.robust_linear_model.RLMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/robust_linear_model.py:docstring of statsmodels.robust.robust_linear_model.RLMResults.chisq:1: WARNING: duplicate object description of statsmodels.robust.robust_linear_model.RLMResults.chisq, other instance in generated/statsmodels.robust.robust_linear_model.RLMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/robust_linear_model.py:docstring of statsmodels.robust.robust_linear_model.RLMResults.fittedvalues:1: WARNING: duplicate object description of statsmodels.robust.robust_linear_model.RLMResults.fittedvalues, other instance in generated/statsmodels.robust.robust_linear_model.RLMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:docstring of statsmodels.base.model.LikelihoodModelResults.normalized_cov_params:1: WARNING: duplicate object description of statsmodels.robust.robust_linear_model.RLMResults.normalized_cov_params, other instance in generated/statsmodels.robust.robust_linear_model.RLMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/robust_linear_model.py:docstring of statsmodels.robust.robust_linear_model.RLMResults.pvalues:1: WARNING: duplicate object description of statsmodels.robust.robust_linear_model.RLMResults.pvalues, other instance in generated/statsmodels.robust.robust_linear_model.RLMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/robust_linear_model.py:docstring of statsmodels.robust.robust_linear_model.RLMResults.resid:1: WARNING: duplicate object description of statsmodels.robust.robust_linear_model.RLMResults.resid, other instance in generated/statsmodels.robust.robust_linear_model.RLMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/robust_linear_model.py:docstring of statsmodels.robust.robust_linear_model.RLMResults.sresid:1: WARNING: duplicate object description of statsmodels.robust.robust_linear_model.RLMResults.sresid, other instance in generated/statsmodels.robust.robust_linear_model.RLMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/robust_linear_model.py:docstring of statsmodels.robust.robust_linear_model.RLMResults.tvalues:1: WARNING: duplicate object description of statsmodels.robust.robust_linear_model.RLMResults.tvalues, other instance in generated/statsmodels.robust.robust_linear_model.RLMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/robust_linear_model.py:docstring of statsmodels.robust.robust_linear_model.RLMResults.weights:1: WARNING: duplicate object description of statsmodels.robust.robust_linear_model.RLMResults.weights, other instance in generated/statsmodels.robust.robust_linear_model.RLMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/stats/multicomp.py:docstring of statsmodels.sandbox.stats.multicomp.TukeyHSDResults.plot_simultaneous:37: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima_process.py:docstring of statsmodels.tsa.arima_process.ArmaProcess.acovf:19: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/anova.py:docstring of statsmodels.stats.anova.AnovaRM:46: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/correlation_tools.py:docstring of statsmodels.stats.correlation_tools.corr_nearest_factor:57: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/correlation_tools.py:docstring of statsmodels.stats.correlation_tools.kernel_covariance:36: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/descriptivestats.py:docstring of statsmodels.stats.descriptivestats.Description.categorical_statistics:1: WARNING: duplicate object description of statsmodels.stats.descriptivestats.Description.categorical_statistics, other instance in generated/statsmodels.stats.descriptivestats.Description, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/descriptivestats.py:docstring of statsmodels.stats.descriptivestats.Description.default_statistics:1: WARNING: duplicate object description of statsmodels.stats.descriptivestats.Description.default_statistics, other instance in generated/statsmodels.stats.descriptivestats.Description, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/descriptivestats.py:docstring of statsmodels.stats.descriptivestats.Description.numeric_statistics:1: WARNING: duplicate object description of statsmodels.stats.descriptivestats.Description.numeric_statistics, other instance in generated/statsmodels.stats.descriptivestats.Description, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/diagnostic.py:docstring of statsmodels.stats.diagnostic.acorr_ljungbox:65: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/diagnostic.py:docstring of statsmodels.stats.diagnostic.acorr_ljungbox:66: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/diagnostic.py:docstring of statsmodels.stats.diagnostic.compare_j:26: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/diagnostic.py:docstring of statsmodels.stats.diagnostic.het_breuschpagan:51: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/diagnostic.py:docstring of statsmodels.stats.diagnostic.het_breuschpagan:53: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/diagnostic.py:docstring of statsmodels.stats.diagnostic.het_breuschpagan:56: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/diagnostic.py:docstring of statsmodels.stats.diagnostic.spec_white:38: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/nonparametric.py:docstring of statsmodels.stats.nonparametric.rank_compare_2indep:82: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/oneway.py:docstring of statsmodels.stats.oneway.confint_noncentrality:29: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/outliers_influence.py:docstring of statsmodels.stats.outliers_influence.GLMInfluence.d_fittedvalues_scaled:1: WARNING: duplicate object description of statsmodels.stats.outliers_influence.GLMInfluence.d_fittedvalues_scaled, other instance in generated/statsmodels.stats.outliers_influence.GLMInfluence, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/outliers_influence.py:docstring of statsmodels.stats.outliers_influence.GLMInfluence.d_linpred:1: WARNING: duplicate object description of statsmodels.stats.outliers_influence.GLMInfluence.d_linpred, other instance in generated/statsmodels.stats.outliers_influence.GLMInfluence, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/outliers_influence.py:docstring of statsmodels.stats.outliers_influence.MLEInfluence.cooks_distance:1: WARNING: duplicate object description of statsmodels.stats.outliers_influence.MLEInfluence.cooks_distance, other instance in generated/statsmodels.stats.outliers_influence.MLEInfluence, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/outliers_influence.py:docstring of statsmodels.stats.outliers_influence.MLEInfluence.d_fittedvalues:1: WARNING: duplicate object description of statsmodels.stats.outliers_influence.MLEInfluence.d_fittedvalues, other instance in generated/statsmodels.stats.outliers_influence.MLEInfluence, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/outliers_influence.py:docstring of statsmodels.stats.outliers_influence.MLEInfluence.d_fittedvalues_scaled:1: WARNING: duplicate object description of statsmodels.stats.outliers_influence.MLEInfluence.d_fittedvalues_scaled, other instance in generated/statsmodels.stats.outliers_influence.MLEInfluence, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/outliers_influence.py:docstring of statsmodels.stats.outliers_influence.MLEInfluence.d_params:1: WARNING: duplicate object description of statsmodels.stats.outliers_influence.MLEInfluence.d_params, other instance in generated/statsmodels.stats.outliers_influence.MLEInfluence, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/outliers_influence.py:docstring of statsmodels.stats.outliers_influence.MLEInfluence.hat_matrix_diag:1: WARNING: duplicate object description of statsmodels.stats.outliers_influence.MLEInfluence.hat_matrix_diag, other instance in generated/statsmodels.stats.outliers_influence.MLEInfluence, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/outliers_influence.py:docstring of statsmodels.stats.outliers_influence.MLEInfluence.params_one:1: WARNING: duplicate object description of statsmodels.stats.outliers_influence.MLEInfluence.params_one, other instance in generated/statsmodels.stats.outliers_influence.MLEInfluence, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/outliers_influence.py:docstring of statsmodels.stats.outliers_influence.MLEInfluence.resid_studentized:1: WARNING: duplicate object description of statsmodels.stats.outliers_influence.MLEInfluence.resid_studentized, other instance in generated/statsmodels.stats.outliers_influence.MLEInfluence, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/docstring of statsmodels.stats.outliers_influence.OLSInfluence.cooks_distance:7: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/docstring of statsmodels.stats.outliers_influence.OLSInfluence.cooks_distance:9: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/proportion.py:docstring of statsmodels.stats.proportion.confint_proportions_2indep:54: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/proportion.py:docstring of statsmodels.stats.proportion.confint_proportions_2indep:58: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/proportion.py:docstring of statsmodels.stats.proportion.confint_proportions_2indep:61: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/proportion.py:docstring of statsmodels.stats.proportion.confint_proportions_2indep:63: WARNING: Footnote [4] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/proportion.py:docstring of statsmodels.stats.proportion.confint_proportions_2indep:68: WARNING: Footnote [5] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/proportion.py:docstring of statsmodels.stats.proportion.proportion_confint:48: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/proportion.py:docstring of statsmodels.stats.proportion.proportion_confint:50: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.confint_poisson:68: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.nonequivalence_poisson_2indep:37: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.nonequivalence_poisson_2indep:41: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.power_equivalence_neginb_2indep:58: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.power_equivalence_neginb_2indep:62: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.power_equivalence_neginb_2indep:65: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.power_equivalence_poisson_2indep:59: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.power_equivalence_poisson_2indep:63: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.power_equivalence_poisson_2indep:66: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.power_negbin_ratio_2indep:63: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.power_negbin_ratio_2indep:67: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.power_negbin_ratio_2indep:70: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.power_poisson_diff_2indep:52: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.power_poisson_diff_2indep:56: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.power_poisson_ratio_2indep:62: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.power_poisson_ratio_2indep:66: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.power_poisson_ratio_2indep:69: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.test_poisson_2indep:123: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.test_poisson_2indep:126: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.tolerance_int_poisson:38: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/rates.py:docstring of statsmodels.stats.rates.tolerance_int_poisson:41: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/stattools.py:docstring of statsmodels.stats.stattools.medcouple:18: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/stattools.py:docstring of statsmodels.stats.stattools.robust_kurtosis:51: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/stattools.py:docstring of statsmodels.stats.stattools.robust_skewness:34: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/model.py:docstring of statsmodels.tsa.ardl.model.UECMResults.bounds_test:90: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.info_criteria:41: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:64: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:68: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:71: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima_process.py:docstring of statsmodels.tsa.arima_process.ArmaProcess.acovf:19: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima_process.py:docstring of statsmodels.tsa.arima_process.arma_acovf:25: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/theta.py:docstring of statsmodels.tsa.forecasting.theta.ThetaModel:70: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/theta.py:docstring of statsmodels.tsa.forecasting.theta.ThetaModel:73: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/theta.py:docstring of statsmodels.tsa.forecasting.theta.ThetaModel:75: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/mstl.py:docstring of statsmodels.tsa.stl.mstl.MSTL:32: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/dynamic_factor.py:docstring of statsmodels.tsa.statespace.dynamic_factor.DynamicFactor:129: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.info_criteria:41: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:64: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:68: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:71: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.info_criteria:41: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/dynamic_factor_mq.py:docstring of statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.news:59: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/dynamic_factor_mq.py:docstring of statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.news:63: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/dynamic_factor_mq.py:docstring of statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.news:66: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.info_criteria:41: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:64: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:68: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:71: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/kalman_filter.py:docstring of statsmodels.tsa.statespace.kalman_filter.FilterResults.kalman_gain:1: WARNING: duplicate object description of statsmodels.tsa.statespace.kalman_filter.FilterResults.kalman_gain, other instance in generated/statsmodels.tsa.statespace.kalman_filter.FilterResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/kalman_smoother.py:docstring of statsmodels.tsa.statespace.kalman_smoother.SmootherResults.kalman_gain:1: WARNING: duplicate object description of statsmodels.tsa.statespace.kalman_smoother.SmootherResults.kalman_gain, other instance in generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/kalman_smoother.py:docstring of statsmodels.tsa.statespace.kalman_smoother.SmootherResults.news:113: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.info_criteria:41: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:64: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:68: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:71: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/news.py:docstring of statsmodels.tsa.statespace.news.NewsResults:212: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/news.py:docstring of statsmodels.tsa.statespace.news.NewsResults:216: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/news.py:docstring of statsmodels.tsa.statespace.news.NewsResults:219: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/representation.py:docstring of statsmodels.tsa.statespace.representation.Representation:145: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.info_criteria:41: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:64: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:68: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:71: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/simulation_smoother.py:docstring of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.generated_measurement_disturbance:1: WARNING: duplicate object description of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.generated_measurement_disturbance, other instance in generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/simulation_smoother.py:docstring of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.generated_obs:1: WARNING: duplicate object description of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.generated_obs, other instance in generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/simulation_smoother.py:docstring of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.generated_state:1: WARNING: duplicate object description of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.generated_state, other instance in generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/simulation_smoother.py:docstring of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.generated_state_disturbance:1: WARNING: duplicate object description of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.generated_state_disturbance, other instance in generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/simulation_smoother.py:docstring of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulate_all:1: WARNING: duplicate object description of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulate_all, other instance in generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/simulation_smoother.py:docstring of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulate_disturbance:1: WARNING: duplicate object description of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulate_disturbance, other instance in generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/simulation_smoother.py:docstring of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulate_state:1: WARNING: duplicate object description of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulate_state, other instance in generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/simulation_smoother.py:docstring of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulated_measurement_disturbance:1: WARNING: duplicate object description of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulated_measurement_disturbance, other instance in generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/simulation_smoother.py:docstring of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulated_state:1: WARNING: duplicate object description of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulated_state, other instance in generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/simulation_smoother.py:docstring of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulated_state_disturbance:1: WARNING: duplicate object description of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulated_state_disturbance, other instance in generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/simulation_smoother.py:docstring of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulation_output:1: WARNING: duplicate object description of statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulation_output, other instance in generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.info_criteria:41: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:64: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:68: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:71: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tools.py:docstring of statsmodels.tsa.statespace.tools.constrain_stationary_multivariate:57: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tools.py:docstring of statsmodels.tsa.statespace.tools.constrain_stationary_univariate:16: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tools.py:docstring of statsmodels.tsa.statespace.tools.unconstrain_stationary_multivariate:28: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tools.py:docstring of statsmodels.tsa.statespace.tools.unconstrain_stationary_univariate:16: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.info_criteria:41: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:64: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:68: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:docstring of statsmodels.tsa.statespace.mlemodel.MLEResults.news:71: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.acf:76: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.acf:79: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.acf:80: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.acovf:34: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.adfuller:63: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.adfuller:65: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.adfuller:67: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.adfuller:71: WARNING: Footnote [4] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.ccf:34: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.coint:70: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.coint:73: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.grangercausalitytests:50: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.grangercausalitytests:52: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/docstring of statsmodels.tsa._innovations.innovations_algo:28: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/docstring of statsmodels.tsa._innovations.innovations_filter:19: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.kpss:51: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.kpss:54: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.kpss:57: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.kpss:61: WARNING: Footnote [4] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.kpss:64: WARNING: Footnote [5] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.levinson_durbin_pacf:15: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.pacf_burg:29: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stattools.py:docstring of statsmodels.tsa.stattools.range_unit_root_test:33: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/docstring of statsmodels.tsa.stattools.zivot_andrews:54: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/docstring of statsmodels.tsa.stattools.zivot_andrews:59: WARNING: Footnote [2] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/docstring of statsmodels.tsa.stattools.zivot_andrews:63: WARNING: Footnote [3] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/svar_model.py:docstring of statsmodels.tsa.vector_ar.svar_model.SVARResults:133: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.k_ar, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/svar_model.py:docstring of statsmodels.tsa.vector_ar.svar_model.SVARResults:139: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.params, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/svar_model.py:docstring of statsmodels.tsa.vector_ar.svar_model.SVARResults:149: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.names, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/svar_model.py:docstring of statsmodels.tsa.vector_ar.svar_model.SVARResults.aic:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.aic, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/svar_model.py:docstring of statsmodels.tsa.vector_ar.svar_model.SVARResults.bic:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.bic, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/svar_model.py:docstring of statsmodels.tsa.vector_ar.svar_model.SVARResults.bse:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.bse, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/var_model.py:docstring of statsmodels.tsa.vector_ar.var_model.VARResults.cov_params:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.cov_params, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/svar_model.py:docstring of statsmodels.tsa.vector_ar.svar_model.SVARResults.detomega:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.detomega, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/svar_model.py:docstring of statsmodels.tsa.vector_ar.svar_model.SVARResults.df_model:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.df_model, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/svar_model.py:docstring of statsmodels.tsa.vector_ar.svar_model.SVARResults.df_resid:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.df_resid, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/svar_model.py:docstring of statsmodels.tsa.vector_ar.svar_model.SVARResults.fittedvalues:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.fittedvalues, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/svar_model.py:docstring of statsmodels.tsa.vector_ar.svar_model.SVARResults.fpe:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.fpe, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/svar_model.py:docstring of statsmodels.tsa.vector_ar.svar_model.SVARResults.info_criteria:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.info_criteria, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/var_model.py:docstring of statsmodels.tsa.vector_ar.var_model.VARResults.irf_resim:21: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/svar_model.py:docstring of statsmodels.tsa.vector_ar.svar_model.SVARResults.llf:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.llf, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/svar_model.py:docstring of statsmodels.tsa.vector_ar.svar_model.SVARResults.resid:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.resid, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/svar_model.py:docstring of statsmodels.tsa.vector_ar.svar_model.SVARResults.sigma_u_mle:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.sigma_u_mle, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/svar_model.py:docstring of statsmodels.tsa.vector_ar.svar_model.SVARResults.stderr:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.stderr, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/svar_model.py:docstring of statsmodels.tsa.vector_ar.svar_model.SVARResults.tvalues:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.svar_model.SVARResults.tvalues, other instance in generated/statsmodels.tsa.vector_ar.svar_model.SVARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/var_model.py:docstring of statsmodels.tsa.vector_ar.var_model.VARResults:80: WARNING: duplicate object description of statsmodels.tsa.vector_ar.var_model.VARResults.params, other instance in generated/statsmodels.tsa.vector_ar.var_model.VARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/var_model.py:docstring of statsmodels.tsa.vector_ar.var_model.VARResults:86: WARNING: duplicate object description of statsmodels.tsa.vector_ar.var_model.VARResults.names, other instance in generated/statsmodels.tsa.vector_ar.var_model.VARResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/var_model.py:docstring of statsmodels.tsa.vector_ar.var_model.VARResults.irf_resim:21: WARNING: Footnote [*] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.cov_params_wo_det:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.cov_params_wo_det, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.cov_var_repr:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.cov_var_repr, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.fittedvalues:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.fittedvalues, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.llf:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.llf, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_alpha:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_alpha, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_beta:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_beta, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_det_coef:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_det_coef, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_det_coef_coint:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_det_coef_coint, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_gamma:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_gamma, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.resid:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.resid, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_alpha:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_alpha, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_beta:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_beta, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_coint:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_coint, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_det_coef:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_det_coef, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_det_coef_coint:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_det_coef_coint, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_gamma:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_gamma, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_params:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_params, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_alpha:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_alpha, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_beta:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_beta, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_det_coef:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_det_coef, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_det_coef_coint:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_det_coef_coint, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_gamma:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_gamma, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.VECMResults.var_rep:1: WARNING: duplicate object description of statsmodels.tsa.vector_ar.vecm.VECMResults.var_rep, other instance in generated/statsmodels.tsa.vector_ar.vecm.VECMResults, use :no-index: for one of them /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/vecm.py:docstring of statsmodels.tsa.vector_ar.vecm.coint_johansen:29: WARNING: Footnote [1] is not referenced. [ref.footnote] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/glm.rst:6: WARNING: Duplicate explicit target name: "glm". [docutils] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/glm.rst:144: WARNING: duplicate object description of statsmodels.genmod.families.family, other instance in gee, use :no-index: for one of them looking for now-outdated files... none found pickling environment... done checking consistency... /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.family.Binomial.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.family.Binomial /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.family.Family.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.family.Family /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.family.Gamma.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.family.Gamma /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.family.Gaussian.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.family.Gaussian /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.family.InverseGaussian.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.family.InverseGaussian /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.family.NegativeBinomial.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.family.NegativeBinomial /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.family.Poisson.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.family.Poisson /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.family.Tweedie.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.family.Tweedie /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.links.CDFLink.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.links.CDFLink /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.links.CLogLog.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.links.CLogLog /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.links.Cauchy.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.links.Cauchy /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.links.Identity.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.links.Identity /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.links.InversePower.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.links.InversePower /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.links.InverseSquared.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.links.InverseSquared /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.links.Link.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.links.Link /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.links.Log.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.links.Log /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.links.Logit.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.links.Logit /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.links.NegativeBinomial.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.links.NegativeBinomial /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.links.Power.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.links.Power /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.genmod.families.links.Probit.rst: document is referenced in multiple toctrees: ['gee', 'glm'], selecting: glm <- generated/statsmodels.genmod.families.links.Probit /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.stats.knockoff_regeffects.OLSEffects.rst: document is referenced in multiple toctrees: ['stats', 'stats'], selecting: stats <- generated/statsmodels.stats.knockoff_regeffects.OLSEffects /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.stats.proportion.proportion_effectsize.rst: document is referenced in multiple toctrees: ['stats', 'stats'], selecting: stats <- generated/statsmodels.stats.proportion.proportion_effectsize /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.rst: document is referenced in multiple toctrees: ['statespace', 'tsa'], selecting: tsa <- generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.rst: document is referenced in multiple toctrees: ['statespace', 'tsa'], selecting: tsa <- generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.hypothesis_test_results.HypothesisTestResults.rst: document is referenced in multiple toctrees: ['vector_ar', 'vector_ar'], selecting: vector_ar <- generated/statsmodels.tsa.vector_ar.hypothesis_test_results.HypothesisTestResults /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.hypothesis_test_results.NormalityTestResults.rst: document is referenced in multiple toctrees: ['vector_ar', 'vector_ar'], selecting: vector_ar <- generated/statsmodels.tsa.vector_ar.hypothesis_test_results.NormalityTestResults /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.vector_ar.hypothesis_test_results.WhitenessTestResults.rst: document is referenced in multiple toctrees: ['vector_ar', 'vector_ar'], selecting: vector_ar <- generated/statsmodels.tsa.vector_ar.hypothesis_test_results.WhitenessTestResults done preparing documents... WARNING: unsupported theme option 'icon' given WARNING: unsupported theme option 'site_url' given WARNING: unsupported theme option 'repo_url' given WARNING: unsupported theme option 'repo_name' given WARNING: unsupported theme option 'palette' given WARNING: unsupported theme option 'toc_title' given WARNING: unsupported theme option 'version_dropdown' given WARNING: unsupported theme option 'version_json' given WARNING: unsupported theme option 'toc_title_is_page_title' given WARNING: unsupported theme option 'social' given done copying assets... copying downloadable files... [ 1%] ../../build/plot_directive/plots/graphics_regression_ceres_residuals.py copying downloadable files... [ 1%] ../../build/plot_directive/plots/graphics_regression_ceres_residuals.png copying downloadable files... [ 2%] ../../build/plot_directive/plots/graphics_regression_ceres_residuals.hires.png copying downloadable files... [ 2%] ../../build/plot_directive/plots/graphics_regression_ceres_residuals.pdf copying downloadable files... [ 3%] ../../build/plot_directive/plots/graphics-mean_diff_plot.py copying downloadable files... [ 4%] ../../build/plot_directive/plots/graphics-mean_diff_plot.png copying downloadable files... [ 4%] ../../build/plot_directive/plots/graphics-mean_diff_plot.hires.png copying downloadable files... [ 5%] ../../build/plot_directive/plots/graphics-mean_diff_plot.pdf copying downloadable files... [ 6%] ../../build/plot_directive/plots/graphics_boxplot_beanplot.py copying downloadable files... [ 6%] ../../build/plot_directive/plots/graphics_boxplot_beanplot.png copying downloadable files... [ 7%] ../../build/plot_directive/plots/graphics_boxplot_beanplot.hires.png copying downloadable files... [ 8%] ../../build/plot_directive/plots/graphics_boxplot_beanplot.pdf copying downloadable files... [ 8%] ../../build/plot_directive/plots/graphics_boxplot_violinplot.py copying downloadable files... [ 9%] ../../build/plot_directive/plots/graphics_boxplot_violinplot.png copying downloadable files... [ 9%] ../../build/plot_directive/plots/graphics_boxplot_violinplot.hires.png copying downloadable files... [ 10%] ../../build/plot_directive/plots/graphics_boxplot_violinplot.pdf copying downloadable files... [ 11%] ../../build/plot_directive/plots/graphics_correlation_plot_corr.py copying downloadable files... [ 11%] ../../build/plot_directive/plots/graphics_correlation_plot_corr.png copying downloadable files... [ 12%] ../../build/plot_directive/plots/graphics_correlation_plot_corr.hires.png copying downloadable files... [ 12%] ../../build/plot_directive/plots/graphics_correlation_plot_corr.pdf copying downloadable files... [ 13%] ../../build/plot_directive/plots/graphics_correlation_plot_corr_grid.py copying downloadable files... [ 14%] ../../build/plot_directive/plots/graphics_correlation_plot_corr_grid.png copying downloadable files... [ 14%] ../../build/plot_directive/plots/graphics_correlation_plot_corr_grid.hires.png copying downloadable files... [ 15%] ../../build/plot_directive/plots/graphics_correlation_plot_corr_grid.pdf copying downloadable files... [ 16%] ../../build/plot_directive/generated/statsmodels-graphics-factorplots-interaction_plot-1.py copying downloadable files... [ 16%] ../../build/plot_directive/generated/statsmodels-graphics-factorplots-interaction_plot-1.png copying downloadable files... [ 17%] ../../build/plot_directive/generated/statsmodels-graphics-factorplots-interaction_plot-1.hires.png copying downloadable files... [ 18%] ../../build/plot_directive/generated/statsmodels-graphics-factorplots-interaction_plot-1.pdf copying downloadable files... [ 18%] ../../build/plot_directive/plots/graphics_functional_fboxplot.py copying downloadable files... [ 19%] ../../build/plot_directive/plots/graphics_functional_fboxplot.png copying downloadable files... [ 19%] ../../build/plot_directive/plots/graphics_functional_fboxplot.hires.png copying downloadable files... [ 20%] ../../build/plot_directive/plots/graphics_functional_fboxplot.pdf copying downloadable files... [ 21%] ../../build/plot_directive/plots/graphics_functional_hdrboxplot.py copying downloadable files... [ 21%] ../../build/plot_directive/plots/graphics_functional_hdrboxplot_00_00.png copying downloadable files... [ 22%] ../../build/plot_directive/plots/graphics_functional_hdrboxplot_00_00.hires.png copying downloadable files... [ 22%] ../../build/plot_directive/plots/graphics_functional_hdrboxplot_00_00.pdf copying downloadable files... [ 23%] ../../build/plot_directive/plots/graphics_functional_rainbowplot.py copying downloadable files... [ 24%] ../../build/plot_directive/plots/graphics_functional_rainbowplot.png copying downloadable files... [ 24%] ../../build/plot_directive/plots/graphics_functional_rainbowplot.hires.png copying downloadable files... [ 25%] ../../build/plot_directive/plots/graphics_functional_rainbowplot.pdf copying downloadable files... [ 26%] ../../build/plot_directive/plots/graphics_gofplots_qqplot.py copying downloadable files... [ 26%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_00.png copying downloadable files... [ 27%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_00.hires.png copying downloadable files... [ 28%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_00.pdf copying downloadable files... [ 28%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_01.png copying downloadable files... [ 29%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_01.hires.png copying downloadable files... [ 29%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_01.pdf copying downloadable files... [ 30%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_02.png copying downloadable files... [ 31%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_02.hires.png copying downloadable files... [ 31%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_02.pdf copying downloadable files... [ 32%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_03.png copying downloadable files... [ 32%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_03.hires.png copying downloadable files... [ 33%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_03.pdf copying downloadable files... [ 34%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_qqline.py copying downloadable files... [ 34%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_qqline.png copying downloadable files... [ 35%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_qqline.hires.png copying downloadable files... [ 36%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_qqline.pdf copying downloadable files... [ 36%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_2samples.py copying downloadable files... [ 37%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_2samples.png copying downloadable files... [ 38%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_2samples.hires.png copying downloadable files... [ 38%] ../../build/plot_directive/plots/graphics_gofplots_qqplot_2samples.pdf copying downloadable files... [ 39%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic.py copying downloadable files... [ 39%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_00_00.png copying downloadable files... [ 40%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_00_00.hires.png copying downloadable files... [ 41%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_00_00.pdf copying downloadable files... [ 41%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_01_00.png copying downloadable files... [ 42%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_01_00.hires.png copying downloadable files... [ 42%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_01_00.pdf copying downloadable files... [ 43%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_02_00.png copying downloadable files... [ 44%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_02_00.hires.png copying downloadable files... [ 44%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_02_00.pdf copying downloadable files... [ 45%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_03_00.png copying downloadable files... [ 46%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_03_00.hires.png copying downloadable files... [ 46%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_03_00.pdf copying downloadable files... [ 47%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_04_00.png copying downloadable files... [ 48%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_04_00.hires.png copying downloadable files... [ 48%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_04_00.pdf copying downloadable files... [ 49%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_05_00.png copying downloadable files... [ 49%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_05_00.hires.png copying downloadable files... [ 50%] ../../build/plot_directive/plots/graphics_mosaicplot_mosaic_05_00.pdf copying downloadable files... [ 51%] ../../build/plot_directive/plots/graphics_plot_grids_scatter_ellipse.py copying downloadable files... [ 51%] ../../build/plot_directive/plots/graphics_plot_grids_scatter_ellipse.png copying downloadable files... [ 52%] ../../build/plot_directive/plots/graphics_plot_grids_scatter_ellipse.hires.png copying downloadable files... [ 52%] ../../build/plot_directive/plots/graphics_plot_grids_scatter_ellipse.pdf copying downloadable files... [ 53%] ../../build/plot_directive/plots/graphics_regression_abline.py copying downloadable files... [ 54%] ../../build/plot_directive/plots/graphics_regression_abline.png copying downloadable files... [ 54%] ../../build/plot_directive/plots/graphics_regression_abline.hires.png copying downloadable files... [ 55%] ../../build/plot_directive/plots/graphics_regression_abline.pdf copying downloadable files... [ 56%] ../../build/plot_directive/plots/graphics_regression_influence.py copying downloadable files... [ 56%] ../../build/plot_directive/plots/graphics_regression_influence.png copying downloadable files... [ 57%] ../../build/plot_directive/plots/graphics_regression_influence.hires.png copying downloadable files... [ 57%] ../../build/plot_directive/plots/graphics_regression_influence.pdf copying downloadable files... [ 58%] ../../build/plot_directive/plots/graphics_regression_ccpr.py copying downloadable files... [ 59%] ../../build/plot_directive/plots/graphics_regression_ccpr.png copying downloadable files... [ 59%] ../../build/plot_directive/plots/graphics_regression_ccpr.hires.png copying downloadable files... [ 60%] ../../build/plot_directive/plots/graphics_regression_ccpr.pdf copying downloadable files... [ 61%] ../../build/plot_directive/plots/graphics_regression_ccpr_grid.py copying downloadable files... [ 61%] ../../build/plot_directive/plots/graphics_regression_ccpr_grid.png copying downloadable files... [ 62%] ../../build/plot_directive/plots/graphics_regression_ccpr_grid.hires.png copying downloadable files... [ 62%] ../../build/plot_directive/plots/graphics_regression_ccpr_grid.pdf copying downloadable files... [ 63%] ../../build/plot_directive/plots/graphics_plot_fit_ex.py copying downloadable files... [ 64%] ../../build/plot_directive/plots/graphics_plot_fit_ex.png copying downloadable files... [ 64%] ../../build/plot_directive/plots/graphics_plot_fit_ex.hires.png copying downloadable files... [ 65%] ../../build/plot_directive/plots/graphics_plot_fit_ex.pdf copying downloadable files... [ 66%] ../../build/plot_directive/plots/graphics_regression_leverage_resid2.py copying downloadable files... [ 66%] ../../build/plot_directive/plots/graphics_regression_leverage_resid2.png copying downloadable files... [ 67%] ../../build/plot_directive/plots/graphics_regression_leverage_resid2.hires.png copying downloadable files... [ 68%] ../../build/plot_directive/plots/graphics_regression_leverage_resid2.pdf copying downloadable files... [ 68%] ../../build/plot_directive/plots/graphics_regression_partregress.py copying downloadable files... [ 69%] ../../build/plot_directive/plots/graphics_regression_partregress.png copying downloadable files... [ 69%] ../../build/plot_directive/plots/graphics_regression_partregress.hires.png copying downloadable files... [ 70%] ../../build/plot_directive/plots/graphics_regression_partregress.pdf copying downloadable files... [ 71%] ../../build/plot_directive/plots/graphics_regression_partregress_grid.py copying downloadable files... [ 71%] ../../build/plot_directive/plots/graphics_regression_partregress_grid.png copying downloadable files... [ 72%] ../../build/plot_directive/plots/graphics_regression_partregress_grid.hires.png copying downloadable files... [ 72%] ../../build/plot_directive/plots/graphics_regression_partregress_grid.pdf copying downloadable files... [ 73%] ../../build/plot_directive/plots/graphics_regression_regress_exog.py copying downloadable files... [ 74%] ../../build/plot_directive/plots/graphics_regression_regress_exog.png copying downloadable files... [ 74%] ../../build/plot_directive/plots/graphics_regression_regress_exog.hires.png copying downloadable files... [ 75%] ../../build/plot_directive/plots/graphics_regression_regress_exog.pdf copying downloadable files... [ 76%] ../../build/plot_directive/plots/graphics_tsa_month_plot.py copying downloadable files... [ 76%] ../../build/plot_directive/plots/graphics_tsa_month_plot.png copying downloadable files... [ 77%] ../../build/plot_directive/plots/graphics_tsa_month_plot.hires.png copying downloadable files... [ 78%] ../../build/plot_directive/plots/graphics_tsa_month_plot.pdf copying downloadable files... [ 78%] ../../build/plot_directive/plots/graphics_tsa_plot_acf.py copying downloadable files... [ 79%] ../../build/plot_directive/plots/graphics_tsa_plot_acf.png copying downloadable files... [ 79%] ../../build/plot_directive/plots/graphics_tsa_plot_acf.hires.png copying downloadable files... [ 80%] ../../build/plot_directive/plots/graphics_tsa_plot_acf.pdf copying downloadable files... [ 81%] ../../build/plot_directive/plots/graphics_tsa_plot_pacf.py copying downloadable files... [ 81%] ../../build/plot_directive/plots/graphics_tsa_plot_pacf.png copying downloadable files... [ 82%] ../../build/plot_directive/plots/graphics_tsa_plot_pacf.hires.png copying downloadable files... [ 82%] ../../build/plot_directive/plots/graphics_tsa_plot_pacf.pdf copying downloadable files... [ 83%] ../../build/plot_directive/plots/graphics_tsa_quarter_plot.py copying downloadable files... [ 84%] ../../build/plot_directive/plots/graphics_tsa_quarter_plot.png copying downloadable files... [ 84%] ../../build/plot_directive/plots/graphics_tsa_quarter_plot.hires.png copying downloadable files... [ 85%] ../../build/plot_directive/plots/graphics_tsa_quarter_plot.pdf copying downloadable files... [ 86%] ../../build/plot_directive/plots/bkf_plot.py copying downloadable files... [ 86%] ../../build/plot_directive/plots/bkf_plot.png copying downloadable files... [ 87%] ../../build/plot_directive/plots/bkf_plot.hires.png copying downloadable files... [ 88%] ../../build/plot_directive/plots/bkf_plot.pdf copying downloadable files... [ 88%] ../../build/plot_directive/plots/cff_plot.py copying downloadable files... [ 89%] ../../build/plot_directive/plots/cff_plot.png copying downloadable files... [ 89%] ../../build/plot_directive/plots/cff_plot.hires.png copying downloadable files... [ 90%] ../../build/plot_directive/plots/cff_plot.pdf copying downloadable files... [ 91%] ../../build/plot_directive/plots/hpf_plot.py copying downloadable files... [ 91%] ../../build/plot_directive/plots/hpf_plot.png copying downloadable files... [ 92%] ../../build/plot_directive/plots/hpf_plot.hires.png copying downloadable files... [ 92%] ../../build/plot_directive/plots/hpf_plot.pdf copying downloadable files... [ 93%] ../../build/plot_directive/plots/mstl_plot.py copying downloadable files... [ 94%] ../../build/plot_directive/plots/mstl_plot.png copying downloadable files... [ 94%] ../../build/plot_directive/plots/mstl_plot.hires.png copying downloadable files... [ 95%] ../../build/plot_directive/plots/mstl_plot.pdf copying downloadable files... [ 96%] ../../build/plot_directive/plots/stl_plot.py copying downloadable files... [ 96%] ../../build/plot_directive/plots/stl_plot.png copying downloadable files... [ 97%] ../../build/plot_directive/plots/stl_plot.hires.png copying downloadable files... [ 98%] ../../build/plot_directive/plots/stl_plot.pdf copying downloadable files... [ 98%] ../../build/plot_directive/release/version0-6-1.py copying downloadable files... [ 99%] ../../build/plot_directive/release/version0-6-1.png copying downloadable files... [ 99%] ../../build/plot_directive/release/version0-6-1.hires.png copying downloadable files... [100%] ../../build/plot_directive/release/version0-6-1.pdf copying static files... Writing evaluated template result to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/build/html/_static/language_data.js Writing evaluated template result to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/build/html/_static/basic.css Writing evaluated template result to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/build/html/_static/documentation_options.js Writing evaluated template result to /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/build/html/_static/nature.css copying static files: done copying extra files... copying extra files: done copying assets: done writing output... [ 0%] about writing output... [ 0%] anova writing output... [ 0%] api writing output... [ 0%] api-structure writing output... [ 0%] contingency_tables writing output... [ 0%] contrasts writing output... [ 0%] datasets/generated/anes96 writing output... [ 0%] datasets/generated/cancer writing output... [ 0%] datasets/generated/ccard writing output... [ 0%] datasets/generated/china_smoking writing output... [ 0%] datasets/generated/co2 writing output... [ 0%] datasets/generated/committee writing output... [ 0%] datasets/generated/copper writing output... [ 0%] datasets/generated/cpunish writing output... [ 0%] datasets/generated/danish_data writing output... [ 0%] datasets/generated/elnino writing output... [ 0%] datasets/generated/engel writing output... [ 0%] datasets/generated/fair writing output... [ 0%] datasets/generated/fertility writing output... [ 0%] datasets/generated/grunfeld writing output... [ 0%] datasets/generated/heart writing output... [ 0%] datasets/generated/interest_inflation writing output... [ 0%] datasets/generated/longley writing output... [ 0%] datasets/generated/macrodata writing output... [ 0%] datasets/generated/modechoice writing output... [ 0%] datasets/generated/nile writing output... [ 0%] datasets/generated/randhie writing output... [ 0%] datasets/generated/scotland writing output... [ 0%] datasets/generated/spector writing output... [ 0%] datasets/generated/stackloss writing output... [ 0%] datasets/generated/star98 writing output... [ 0%] datasets/generated/statecrime writing output... [ 1%] datasets/generated/strikes writing output... [ 1%] datasets/generated/sunspots writing output... [ 1%] datasets/index writing output... [ 1%] datasets/statsmodels.datasets.clear_data_home writing output... [ 1%] datasets/statsmodels.datasets.get_data_home writing output... [ 1%] datasets/statsmodels.datasets.get_rdataset writing output... [ 1%] datasets/statsmodels.datasets.webuse writing output... [ 1%] dev/dataset_notes writing output... [ 1%] dev/examples writing output... [ 1%] dev/generated/statsmodels.__init__.test writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.endog_names writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.exog_names writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.expandparams writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.fit writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.from_formula writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.hessian writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.hessian_factor writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.information writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.initialize writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.loglike writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.loglikeobs writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.nloglike writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.predict writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.reduceparams writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.score writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModel.score_obs writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.aic writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.bic writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.bootstrap writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.bse writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.bsejac writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.bsejhj writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.conf_int writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.cov_params writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.covjac writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.covjhj writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.df_modelwc writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.f_test writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.get_nlfun writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.get_prediction writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.hessv writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.initialize writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.llf writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.load writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.normalized_cov_params writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.predict writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.pvalues writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.remove_data writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.save writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.score_obsv writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.summary writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.t_test writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.t_test_pairwise writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.tvalues writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.use_t writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.wald_test writing output... [ 1%] dev/generated/statsmodels.base.model.GenericLikelihoodModelResults.wald_test_terms writing output... [ 1%] dev/generated/statsmodels.base.model.LikelihoodModel writing output... [ 1%] dev/generated/statsmodels.base.model.LikelihoodModel.endog_names writing output... [ 1%] dev/generated/statsmodels.base.model.LikelihoodModel.exog_names writing output... [ 1%] dev/generated/statsmodels.base.model.LikelihoodModel.fit writing output... [ 1%] dev/generated/statsmodels.base.model.LikelihoodModel.from_formula writing output... [ 1%] dev/generated/statsmodels.base.model.LikelihoodModel.hessian writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModel.information writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModel.initialize writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModel.loglike writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModel.predict writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModel.score writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.bse writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.conf_int writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.cov_params writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.f_test writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.initialize writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.llf writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.load writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.normalized_cov_params writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.predict writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.pvalues writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.remove_data writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.save writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.summary writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.t_test writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.t_test_pairwise writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.tvalues writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.use_t writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.wald_test writing output... [ 2%] dev/generated/statsmodels.base.model.LikelihoodModelResults.wald_test_terms writing output... [ 2%] dev/generated/statsmodels.base.model.Model writing output... [ 2%] dev/generated/statsmodels.base.model.Model.endog_names writing output... [ 2%] dev/generated/statsmodels.base.model.Model.exog_names writing output... [ 2%] dev/generated/statsmodels.base.model.Model.fit writing output... [ 2%] dev/generated/statsmodels.base.model.Model.from_formula writing output... [ 2%] dev/generated/statsmodels.base.model.Model.predict writing output... [ 2%] dev/generated/statsmodels.base.model.ResultMixin writing output... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.aic writing output... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.bic writing output... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.bootstrap writing output... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.bsejac writing output... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.bsejhj writing output... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.covjac writing output... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.covjhj writing output... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.df_modelwc writing output... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.get_nlfun writing output... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.hessv writing output... [ 2%] dev/generated/statsmodels.base.model.ResultMixin.score_obsv writing output... [ 2%] dev/generated/statsmodels.base.model.Results writing output... [ 2%] dev/generated/statsmodels.base.model.Results.initialize writing output... [ 2%] dev/generated/statsmodels.base.model.Results.predict writing output... [ 2%] dev/generated/statsmodels.base.model.Results.summary writing output... [ 2%] dev/generated/statsmodels.stats.contrast.ContrastResults writing output... [ 2%] dev/generated/statsmodels.stats.contrast.ContrastResults.conf_int writing output... [ 2%] dev/generated/statsmodels.stats.contrast.ContrastResults.df_denom writing output... [ 2%] dev/generated/statsmodels.stats.contrast.ContrastResults.summary writing output... [ 2%] dev/generated/statsmodels.stats.contrast.ContrastResults.summary_frame writing output... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.CacheWriteWarning writing output... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.CollinearityWarning writing output... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.ConvergenceWarning writing output... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.DomainWarning writing output... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.EstimationWarning writing output... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.HessianInversionWarning writing output... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.HypothesisTestWarning writing output... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.IOWarning writing output... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.InterpolationWarning writing output... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.InvalidTestWarning writing output... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.IterationLimitWarning writing output... [ 2%] dev/generated/statsmodels.tools.sm_exceptions.ModelWarning writing output... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.ModuleUnavailableWarning writing output... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.NotImplementedWarning writing output... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.OutputWarning writing output... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.ParseError writing output... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.PerfectSeparationError writing output... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.PrecisionWarning writing output... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.SingularMatrixWarning writing output... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.SpecificationWarning writing output... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.ValueWarning writing output... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.X13Error writing output... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.X13NotFoundError writing output... [ 3%] dev/generated/statsmodels.tools.sm_exceptions.X13Warning writing output... [ 3%] dev/get_involved writing output... [ 3%] dev/git_notes writing output... [ 3%] dev/index writing output... [ 3%] dev/internal writing output... [ 3%] dev/maintainer_notes writing output... [ 3%] dev/naming_conventions writing output... [ 3%] dev/test_notes writing output... [ 3%] dev/testing writing output... [ 3%] dev/warnings-and-exceptions writing output... [ 3%] diagnostic writing output... [ 3%] discretemod writing output... [ 3%] distributions writing output... [ 3%] duration writing output... [ 3%] emplike writing output... [ 3%] endog_exog writing output... [ 3%] example_formulas writing output... [ 3%] examples/index writing output... [ 3%] examples/notebooks/generated/autoregressions writing output... [ 3%] examples/notebooks/generated/autoregressive_distributed_lag writing output... [ 3%] examples/notebooks/generated/categorical_interaction_plot writing output... [ 3%] examples/notebooks/generated/chi2_fitting writing output... [ 3%] examples/notebooks/generated/contrasts writing output... [ 3%] examples/notebooks/generated/copula writing output... [ 3%] examples/notebooks/generated/count_hurdle writing output... [ 3%] examples/notebooks/generated/deterministics writing output... [ 3%] examples/notebooks/generated/discrete_choice_example writing output... [ 3%] examples/notebooks/generated/discrete_choice_overview writing output... [ 3%] examples/notebooks/generated/distributed_estimation writing output... [ 3%] examples/notebooks/generated/ets writing output... [ 3%] examples/notebooks/generated/exponential_smoothing writing output... [ 3%] examples/notebooks/generated/formulas writing output... [ 3%] examples/notebooks/generated/gee_nested_simulation writing output... [ 3%] examples/notebooks/generated/gee_score_test_simulation writing output... [ 3%] examples/notebooks/generated/generic_mle writing output... [ 3%] examples/notebooks/generated/glm writing output... [ 3%] examples/notebooks/generated/glm_formula writing output... [ 3%] examples/notebooks/generated/glm_weights writing output... [ 3%] examples/notebooks/generated/gls writing output... [ 3%] examples/notebooks/generated/influence_glm_logit writing output... [ 3%] examples/notebooks/generated/interactions_anova writing output... [ 3%] examples/notebooks/generated/kernel_density writing output... [ 3%] examples/notebooks/generated/linear_regression_diagnostics_plots writing output... [ 3%] examples/notebooks/generated/lowess writing output... [ 3%] examples/notebooks/generated/markov_autoregression writing output... [ 3%] examples/notebooks/generated/markov_regression writing output... [ 3%] examples/notebooks/generated/mediation_survival writing output... [ 3%] examples/notebooks/generated/metaanalysis1 writing output... [ 3%] examples/notebooks/generated/mixed_lm_example writing output... [ 3%] examples/notebooks/generated/mstl_decomposition writing output... [ 3%] examples/notebooks/generated/ols writing output... [ 3%] examples/notebooks/generated/ordinal_regression writing output... [ 3%] examples/notebooks/generated/pca_fertility_factors writing output... [ 3%] examples/notebooks/generated/plots_boxplots writing output... [ 4%] examples/notebooks/generated/postestimation_poisson writing output... [ 4%] examples/notebooks/generated/predict writing output... [ 4%] examples/notebooks/generated/quantile_regression writing output... [ 4%] examples/notebooks/generated/quasibinomial writing output... [ 4%] examples/notebooks/generated/recursive_ls writing output... [ 4%] examples/notebooks/generated/regression_diagnostics writing output... [ 4%] examples/notebooks/generated/regression_plots writing output... [ 4%] examples/notebooks/generated/robust_models_0 writing output... [ 4%] examples/notebooks/generated/robust_models_1 writing output... [ 4%] examples/notebooks/generated/rolling_ls writing output... [ 4%] examples/notebooks/generated/statespace_arma_0 writing output... [ 4%] examples/notebooks/generated/statespace_chandrasekhar writing output... [ 4%] examples/notebooks/generated/statespace_concentrated_scale writing output... [ 4%] examples/notebooks/generated/statespace_custom_models writing output... [ 4%] examples/notebooks/generated/statespace_cycles writing output... [ 4%] examples/notebooks/generated/statespace_dfm_coincident writing output... [ 4%] examples/notebooks/generated/statespace_fixed_params writing output... [ 4%] examples/notebooks/generated/statespace_forecasting writing output... [ 4%] examples/notebooks/generated/statespace_local_linear_trend writing output... [ 4%] examples/notebooks/generated/statespace_news writing output... [ 4%] examples/notebooks/generated/statespace_sarimax_faq writing output... [ 4%] examples/notebooks/generated/statespace_sarimax_internet writing output... [ 4%] examples/notebooks/generated/statespace_sarimax_pymc3 writing output... [ 4%] examples/notebooks/generated/statespace_sarimax_stata writing output... [ 4%] examples/notebooks/generated/statespace_seasonal writing output... [ 4%] examples/notebooks/generated/statespace_structural_harvey_jaeger writing output... [ 4%] examples/notebooks/generated/statespace_tvpvar_mcmc_cfa writing output... [ 4%] examples/notebooks/generated/statespace_varmax writing output... [ 4%] examples/notebooks/generated/stationarity_detrending_adf_kpss writing output... [ 4%] examples/notebooks/generated/stats_poisson writing output... [ 4%] examples/notebooks/generated/stats_rankcompare writing output... [ 4%] examples/notebooks/generated/stl_decomposition writing output... [ 4%] examples/notebooks/generated/theta-model writing output... [ 4%] examples/notebooks/generated/treatment_effect writing output... [ 4%] examples/notebooks/generated/tsa_arma_0 writing output... [ 4%] examples/notebooks/generated/tsa_arma_1 writing output... [ 4%] examples/notebooks/generated/tsa_dates writing output... [ 4%] examples/notebooks/generated/tsa_filters writing output... [ 4%] examples/notebooks/generated/variance_components writing output... [ 4%] examples/notebooks/generated/wls writing output... [ 4%] faq writing output... [ 4%] gam writing output... [ 4%] gee writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedModel writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedModel.fit writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedModel.fit_joblib writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedModel.fit_sequential writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.bse writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.conf_int writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.cov_params writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.f_test writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.initialize writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.llf writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.load writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.normalized_cov_params writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.predict writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.pvalues writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.remove_data writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.save writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.summary writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.t_test writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.t_test_pairwise writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.tvalues writing output... [ 4%] generated/statsmodels.base.distributed_estimation.DistributedResults.use_t writing output... [ 5%] generated/statsmodels.base.distributed_estimation.DistributedResults.wald_test writing output... [ 5%] generated/statsmodels.base.distributed_estimation.DistributedResults.wald_test_terms writing output... [ 5%] generated/statsmodels.base.elastic_net.RegularizedResults writing output... [ 5%] generated/statsmodels.base.elastic_net.RegularizedResults.fittedvalues writing output... [ 5%] generated/statsmodels.base.elastic_net.RegularizedResults.initialize writing output... [ 5%] generated/statsmodels.base.elastic_net.RegularizedResults.predict writing output... [ 5%] generated/statsmodels.base.elastic_net.RegularizedResults.summary writing output... [ 5%] generated/statsmodels.base.optimizer.Optimizer writing output... [ 5%] generated/statsmodels.base.optimizer._fit_basinhopping writing output... [ 5%] generated/statsmodels.base.optimizer._fit_bfgs writing output... [ 5%] generated/statsmodels.base.optimizer._fit_cg writing output... [ 5%] generated/statsmodels.base.optimizer._fit_lbfgs writing output... [ 5%] generated/statsmodels.base.optimizer._fit_ncg writing output... [ 5%] generated/statsmodels.base.optimizer._fit_newton writing output... [ 5%] generated/statsmodels.base.optimizer._fit_nm writing output... [ 5%] generated/statsmodels.base.optimizer._fit_powell writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.endog_names writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.exog_names writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.fit writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.fit_regularized writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.from_formula writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.hessian writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.information writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.initialize writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.loglike writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.loglike_grp writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.predict writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.score writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalLogit.score_grp writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.endog_names writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.exog_names writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.fit writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.fit_regularized writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.from_formula writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.hessian writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.information writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.initialize writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.loglike writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.predict writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalMNLogit.score writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.endog_names writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.exog_names writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.fit writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.fit_regularized writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.from_formula writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.hessian writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.information writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.initialize writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.loglike writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.predict writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalPoisson.score writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.bse writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.conf_int writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.cov_params writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.f_test writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.initialize writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.llf writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.load writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.normalized_cov_params writing output... [ 5%] generated/statsmodels.discrete.conditional_models.ConditionalResults.predict writing output... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.pvalues writing output... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.remove_data writing output... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.save writing output... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.summary writing output... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.t_test writing output... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.t_test_pairwise writing output... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.tvalues writing output... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.use_t writing output... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.wald_test writing output... [ 6%] generated/statsmodels.discrete.conditional_models.ConditionalResults.wald_test_terms writing output... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated writing output... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.cdf writing output... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.cov_params_func_l1 writing output... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.endog_names writing output... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.exog_names writing output... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.fit writing output... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.fit_regularized writing output... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.from_formula writing output... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.hessian writing output... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.information writing output... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.initialize writing output... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.loglike writing output... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.loglikeobs writing output... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.pdf writing output... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.predict writing output... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.score writing output... [ 6%] generated/statsmodels.discrete.count_model.GenericZeroInflated.score_obs writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.cdf writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.cov_params_func_l1 writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.endog_names writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.exog_names writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.fit writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.fit_regularized writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.from_formula writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.get_distribution writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.hessian writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.information writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.initialize writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.loglike writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.loglikeobs writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.pdf writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.predict writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.score writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoisson.score_obs writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.aic writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.bic writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.bse writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.conf_int writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.cov_params writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.f_test writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.fittedvalues writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.get_diagnostic writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.get_distribution writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.get_influence writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.get_margeff writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.get_prediction writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.im_ratio writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.info_criteria writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.initialize writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.llf writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.llnull writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.llr writing output... [ 6%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.llr_pvalue writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.load writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.normalized_cov_params writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.predict writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.prsquared writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.pvalues writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.remove_data writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.resid writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.resid_pearson writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.resid_response writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.save writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.score_test writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.set_null_options writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.summary writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.summary2 writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.t_test writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.t_test_pairwise writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.tvalues writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.use_t writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.wald_test writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.wald_test_terms writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.cdf writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.cov_params_func_l1 writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.endog_names writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.exog_names writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.fit writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.fit_regularized writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.from_formula writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.get_distribution writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.hessian writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.information writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.initialize writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.loglike writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.loglikeobs writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.pdf writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.predict writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.score writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialP.score_obs writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.aic writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.bic writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.bse writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.conf_int writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.cov_params writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.f_test writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.fittedvalues writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.get_diagnostic writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.get_distribution writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.get_influence writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.get_margeff writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.get_prediction writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.im_ratio writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.info_criteria writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.initialize writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.llf writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.llnull writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.llr writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.llr_pvalue writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.load writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.normalized_cov_params writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.predict writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.prsquared writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.pvalues writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.remove_data writing output... [ 7%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.resid writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.resid_pearson writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.resid_response writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.save writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.score_test writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.set_null_options writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.summary writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.summary2 writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.t_test writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.t_test_pairwise writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.tvalues writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.use_t writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.wald_test writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.wald_test_terms writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.cdf writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.cov_params_func_l1 writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.endog_names writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.exog_names writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.fit writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.fit_regularized writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.from_formula writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.get_distribution writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.hessian writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.information writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.initialize writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.loglike writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.loglikeobs writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.pdf writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.predict writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.score writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoisson.score_obs writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.aic writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.bic writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.bse writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.conf_int writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.cov_params writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.f_test writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.fittedvalues writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.get_diagnostic writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.get_distribution writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.get_influence writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.get_margeff writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.get_prediction writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.im_ratio writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.info_criteria writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.initialize writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.llf writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.llnull writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.llr writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.llr_pvalue writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.load writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.normalized_cov_params writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.predict writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.prsquared writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.pvalues writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.remove_data writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.resid writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.resid_pearson writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.resid_response writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.save writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.score_test writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.set_null_options writing output... [ 8%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.summary writing output... [ 9%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.summary2 writing output... [ 9%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.t_test writing output... [ 9%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.t_test_pairwise writing output... [ 9%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.tvalues writing output... [ 9%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.use_t writing output... [ 9%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.wald_test writing output... [ 9%] generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.wald_test_terms writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.cdf writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.cov_params_func_l1 writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.endog_names writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.exog_names writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.fit writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.fit_constrained writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.fit_regularized writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.from_formula writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.get_distribution writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.hessian writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.information writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.initialize writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.loglike writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.pdf writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.predict writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryModel.score writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.aic writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.bic writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.bse writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.conf_int writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.cov_params writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.f_test writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.fittedvalues writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.get_distribution writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.get_influence writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.get_margeff writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.get_prediction writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.im_ratio writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.info_criteria writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.initialize writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.llf writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.llnull writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.llr writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.llr_pvalue writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.load writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.normalized_cov_params writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.pred_table writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.predict writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.prsquared writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.pvalues writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.remove_data writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.resid_dev writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.resid_pearson writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.resid_response writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.save writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.score_test writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.set_null_options writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.summary writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.summary2 writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.t_test writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.t_test_pairwise writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.tvalues writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.use_t writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.wald_test writing output... [ 9%] generated/statsmodels.discrete.discrete_model.BinaryResults.wald_test_terms writing output... [ 9%] generated/statsmodels.discrete.discrete_model.CountModel writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.cdf writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.cov_params_func_l1 writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.endog_names writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.exog_names writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.fit writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.fit_regularized writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.from_formula writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.hessian writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.information writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.initialize writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.loglike writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.pdf writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.predict writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountModel.score writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.aic writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.bic writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.bse writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.conf_int writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.cov_params writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.f_test writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.fittedvalues writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.get_diagnostic writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.get_distribution writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.get_influence writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.get_margeff writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.get_prediction writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.im_ratio writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.info_criteria writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.initialize writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.llf writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.llnull writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.llr writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.llr_pvalue writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.load writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.normalized_cov_params writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.predict writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.prsquared writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.pvalues writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.remove_data writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.resid writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.resid_pearson writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.resid_response writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.save writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.score_test writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.set_null_options writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.summary writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.summary2 writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.t_test writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.t_test_pairwise writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.tvalues writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.use_t writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.wald_test writing output... [ 10%] generated/statsmodels.discrete.discrete_model.CountResults.wald_test_terms writing output... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel writing output... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.cdf writing output... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.cov_params_func_l1 writing output... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.endog_names writing output... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.exog_names writing output... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.fit writing output... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.fit_regularized writing output... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.from_formula writing output... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.hessian writing output... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.information writing output... [ 10%] generated/statsmodels.discrete.discrete_model.DiscreteModel.initialize writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteModel.loglike writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteModel.pdf writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteModel.predict writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteModel.score writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.aic writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.bic writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.bse writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.conf_int writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.cov_params writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.f_test writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.fittedvalues writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.get_distribution writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.get_influence writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.get_margeff writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.get_prediction writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.im_ratio writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.info_criteria writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.initialize writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.llf writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.llnull writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.llr writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.llr_pvalue writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.load writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.normalized_cov_params writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.predict writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.prsquared writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.pvalues writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.remove_data writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.resid_pearson writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.resid_response writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.save writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.score_test writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.set_null_options writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.summary writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.summary2 writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.t_test writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.t_test_pairwise writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.tvalues writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.use_t writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.wald_test writing output... [ 11%] generated/statsmodels.discrete.discrete_model.DiscreteResults.wald_test_terms writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.cdf writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.cov_params_func_l1 writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.endog_names writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.exog_names writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.fit writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.fit_regularized writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.from_formula writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.get_distribution writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.hessian writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.hessian_factor writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.information writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.initialize writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.loglike writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.loglikeobs writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.pdf writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.predict writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.score writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.score_factor writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoisson.score_obs writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults writing output... [ 11%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.aic writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.bic writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.bse writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.conf_int writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.cov_params writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.f_test writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.fittedvalues writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.get_diagnostic writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.get_distribution writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.get_influence writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.get_margeff writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.get_prediction writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.im_ratio writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.info_criteria writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.initialize writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.llf writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.llnull writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.llr writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.llr_pvalue writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.lnalpha writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.lnalpha_std_err writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.load writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.normalized_cov_params writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.predict writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.prsquared writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.pvalues writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.remove_data writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.resid writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.resid_pearson writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.resid_response writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.save writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.score_test writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.set_null_options writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.summary writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.summary2 writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.t_test writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.t_test_pairwise writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.tvalues writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.use_t writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.wald_test writing output... [ 12%] generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.wald_test_terms writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.cdf writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.cov_params_func_l1 writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.endog_names writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.exog_names writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.family writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.fit writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.fit_constrained writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.fit_regularized writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.from_formula writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.get_distribution writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.hessian writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.hessian_factor writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.information writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.initialize writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.link writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.loglike writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.loglikeobs writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.pdf writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.predict writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.score writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.score_factor writing output... [ 12%] generated/statsmodels.discrete.discrete_model.Logit.score_obs writing output... [ 12%] generated/statsmodels.discrete.discrete_model.LogitResults writing output... [ 12%] generated/statsmodels.discrete.discrete_model.LogitResults.aic writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.bic writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.bse writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.conf_int writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.cov_params writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.f_test writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.fittedvalues writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.get_distribution writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.get_influence writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.get_margeff writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.get_prediction writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.im_ratio writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.info_criteria writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.initialize writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.llf writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.llnull writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.llr writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.llr_pvalue writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.load writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.normalized_cov_params writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.pred_table writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.predict writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.prsquared writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.pvalues writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.remove_data writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.resid_dev writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.resid_generalized writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.resid_pearson writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.resid_response writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.save writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.score_test writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.set_null_options writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.summary writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.summary2 writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.t_test writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.t_test_pairwise writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.tvalues writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.use_t writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.wald_test writing output... [ 13%] generated/statsmodels.discrete.discrete_model.LogitResults.wald_test_terms writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.cdf writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.cov_params_func_l1 writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.endog_names writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.exog_names writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.fit writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.fit_constrained writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.fit_regularized writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.from_formula writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.get_distribution writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.hessian writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.information writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.initialize writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.loglike writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.loglike_and_score writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.loglikeobs writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.pdf writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.predict writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.score writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MNLogit.score_obs writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MultinomialModel writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MultinomialModel.cdf writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MultinomialModel.cov_params_func_l1 writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MultinomialModel.endog_names writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MultinomialModel.exog_names writing output... [ 13%] generated/statsmodels.discrete.discrete_model.MultinomialModel.fit writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.fit_constrained writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.fit_regularized writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.from_formula writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.get_distribution writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.hessian writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.information writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.initialize writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.loglike writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.pdf writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.predict writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialModel.score writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.aic writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.bic writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.bse writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.conf_int writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.cov_params writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.f_test writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.fittedvalues writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.get_distribution writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.get_influence writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.get_margeff writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.get_prediction writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.im_ratio writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.info_criteria writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.initialize writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.llf writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.llnull writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.llr writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.llr_pvalue writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.load writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.margeff writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.normalized_cov_params writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.pred_table writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.predict writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.prsquared writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.pvalues writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.remove_data writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.resid_misclassified writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.resid_pearson writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.resid_response writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.save writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.score_test writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.set_null_options writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.summary writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.summary2 writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.t_test writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.t_test_pairwise writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.tvalues writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.use_t writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.wald_test writing output... [ 14%] generated/statsmodels.discrete.discrete_model.MultinomialResults.wald_test_terms writing output... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial writing output... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.cdf writing output... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.cov_params_func_l1 writing output... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.endog_names writing output... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.exog_names writing output... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.fit writing output... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.fit_regularized writing output... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.from_formula writing output... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.get_distribution writing output... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.hessian writing output... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.information writing output... [ 14%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.initialize writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.loglike writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.pdf writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.predict writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.score writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomial.score_obs writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.cdf writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.convert_params writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.cov_params_func_l1 writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.endog_names writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.exog_names writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.fit writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.fit_regularized writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.from_formula writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.get_distribution writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.hessian writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.hessian_factor writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.information writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.initialize writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.loglike writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.loglikeobs writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.pdf writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.predict writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.score writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.score_factor writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialP.score_obs writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.aic writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.bic writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.bse writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.conf_int writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.cov_params writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.f_test writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.fittedvalues writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.get_diagnostic writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.get_distribution writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.get_influence writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.get_margeff writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.get_prediction writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.im_ratio writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.info_criteria writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.initialize writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.llf writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.llnull writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.llr writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.llr_pvalue writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.lnalpha writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.lnalpha_std_err writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.load writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.normalized_cov_params writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.predict writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.prsquared writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.pvalues writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.remove_data writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.resid writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.resid_pearson writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.resid_response writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.save writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.score_test writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.set_null_options writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.summary writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.summary2 writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.t_test writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.t_test_pairwise writing output... [ 15%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.tvalues writing output... [ 16%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.use_t writing output... [ 16%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.wald_test writing output... [ 16%] generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.wald_test_terms writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.cdf writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.cov_params_func_l1 writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.endog_names writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.exog_names writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.family writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.fit writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.fit_constrained writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.fit_regularized writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.from_formula writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.get_distribution writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.hessian writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.hessian_factor writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.information writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.initialize writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.loglike writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.loglikeobs writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.pdf writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.predict writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.score writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.score_factor writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Poisson.score_obs writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.cdf writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.cov_params_func_l1 writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.endog_names writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.exog_names writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.fit writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.fit_constrained writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.fit_regularized writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.from_formula writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.get_distribution writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.hessian writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.hessian_factor writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.information writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.initialize writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.link writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.loglike writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.loglikeobs writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.pdf writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.predict writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.score writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.score_factor writing output... [ 16%] generated/statsmodels.discrete.discrete_model.Probit.score_obs writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.aic writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.bic writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.bse writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.conf_int writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.cov_params writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.f_test writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.fittedvalues writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.get_distribution writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.get_influence writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.get_margeff writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.get_prediction writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.im_ratio writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.info_criteria writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.initialize writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.llf writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.llnull writing output... [ 16%] generated/statsmodels.discrete.discrete_model.ProbitResults.llr writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.llr_pvalue writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.load writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.normalized_cov_params writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.pred_table writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.predict writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.prsquared writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.pvalues writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.remove_data writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.resid_dev writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.resid_generalized writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.resid_pearson writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.resid_response writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.save writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.score_test writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.set_null_options writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.summary writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.summary2 writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.t_test writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.t_test_pairwise writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.tvalues writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.use_t writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.wald_test writing output... [ 17%] generated/statsmodels.discrete.discrete_model.ProbitResults.wald_test_terms writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.cdf writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.cov_params_func_l1 writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.endog_names writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.exog_names writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.fit writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.fit_regularized writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.from_formula writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.hessian writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.information writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.initialize writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.loglike writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.pdf writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.predict writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountModel.score writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.aic writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.bic writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.bse writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.conf_int writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.cov_params writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.f_test writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.fittedvalues writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.get_diagnostic writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.get_distribution writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.get_influence writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.get_margeff writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.get_prediction writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.im_ratio writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.info_criteria writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.initialize writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.llf writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.llnull writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.llr writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.llr_pvalue writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.load writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.normalized_cov_params writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.predict writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.prsquared writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.pvalues writing output... [ 17%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.remove_data writing output... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.resid writing output... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.resid_pearson writing output... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.resid_response writing output... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.save writing output... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.score_test writing output... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.set_null_options writing output... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.summary writing output... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.summary2 writing output... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.t_test writing output... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.t_test_pairwise writing output... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.tvalues writing output... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.use_t writing output... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.wald_test writing output... [ 18%] generated/statsmodels.discrete.truncated_model.HurdleCountResults.wald_test_terms writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.cdf writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.cov_params_func_l1 writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.endog_names writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.exog_names writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.fit writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.fit_regularized writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.from_formula writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.hessian writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.information writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.initialize writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.loglike writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.loglikeobs writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.pdf writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.predict writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.score writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFNegativeBinomialP.score_obs writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.cdf writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.cov_params_func_l1 writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.endog_names writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.exog_names writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.fit writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.fit_regularized writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.from_formula writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.hessian writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.information writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.initialize writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.loglike writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.loglikeobs writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.pdf writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.predict writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.score writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoisson.score_obs writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.aic writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.bic writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.bse writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.conf_int writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.cov_params writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.f_test writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.fittedvalues writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.get_diagnostic writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.get_distribution writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.get_influence writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.get_margeff writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.get_prediction writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.im_ratio writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.info_criteria writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.initialize writing output... [ 18%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.llf writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.llnull writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.llr writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.llr_pvalue writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.load writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.normalized_cov_params writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.predict writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.prsquared writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.pvalues writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.remove_data writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.resid writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.resid_pearson writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.resid_response writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.save writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.score_test writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.set_null_options writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.summary writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.summary2 writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.t_test writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.t_test_pairwise writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.tvalues writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.use_t writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.wald_test writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.wald_test_terms writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.aic writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.bic writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.bse writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.conf_int writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.cov_params writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.f_test writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.fittedvalues writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.get_diagnostic writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.get_distribution writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.get_influence writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.get_margeff writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.get_prediction writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.im_ratio writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.info_criteria writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.initialize writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.llf writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.llnull writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.llr writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.llr_pvalue writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.load writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.normalized_cov_params writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.predict writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.prsquared writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.pvalues writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.remove_data writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.resid writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.resid_pearson writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.resid_response writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.save writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.score_test writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.set_null_options writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.summary writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.summary2 writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.t_test writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.t_test_pairwise writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.tvalues writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.use_t writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.wald_test writing output... [ 19%] generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.wald_test_terms writing output... [ 19%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula writing output... [ 19%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula.cdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula.fit_corr_param writing output... [ 20%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula.logpdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula.pdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula.plot_pdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula.plot_scatter writing output... [ 20%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula.rvs writing output... [ 20%] generated/statsmodels.distributions.copula.api.ArchimedeanCopula.tau_simulated writing output... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula writing output... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.cdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.fit_corr_param writing output... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.logpdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.pdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.plot_pdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.plot_scatter writing output... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.rvs writing output... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.tau writing output... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.tau_simulated writing output... [ 20%] generated/statsmodels.distributions.copula.api.ClaytonCopula.theta_from_tau writing output... [ 20%] generated/statsmodels.distributions.copula.api.CopulaDistribution writing output... [ 20%] generated/statsmodels.distributions.copula.api.CopulaDistribution.cdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.CopulaDistribution.logpdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.CopulaDistribution.pdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.CopulaDistribution.rvs writing output... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula writing output... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.cdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.conditional_2g1 writing output... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.fit_corr_param writing output... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.logpdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.pdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.plot_pdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.plot_scatter writing output... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.rvs writing output... [ 20%] generated/statsmodels.distributions.copula.api.ExtremeValueCopula.tau_simulated writing output... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula writing output... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.cdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.cdfcond_2g1 writing output... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.fit_corr_param writing output... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.logpdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.pdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.plot_pdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.plot_scatter writing output... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.ppfcond_2g1 writing output... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.rvs writing output... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.tau writing output... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.tau_simulated writing output... [ 20%] generated/statsmodels.distributions.copula.api.FrankCopula.theta_from_tau writing output... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula writing output... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.cdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.corr_from_tau writing output... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.dependence_tail writing output... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.fit_corr_param writing output... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.logpdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.pdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.plot_pdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.plot_scatter writing output... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.rvs writing output... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.tau writing output... [ 20%] generated/statsmodels.distributions.copula.api.GaussianCopula.tau_simulated writing output... [ 20%] generated/statsmodels.distributions.copula.api.GumbelCopula writing output... [ 20%] generated/statsmodels.distributions.copula.api.GumbelCopula.cdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.GumbelCopula.fit_corr_param writing output... [ 20%] generated/statsmodels.distributions.copula.api.GumbelCopula.logpdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.GumbelCopula.pdf writing output... [ 20%] generated/statsmodels.distributions.copula.api.GumbelCopula.plot_pdf writing output... [ 21%] generated/statsmodels.distributions.copula.api.GumbelCopula.plot_scatter writing output... [ 21%] generated/statsmodels.distributions.copula.api.GumbelCopula.rvs writing output... [ 21%] generated/statsmodels.distributions.copula.api.GumbelCopula.tau writing output... [ 21%] generated/statsmodels.distributions.copula.api.GumbelCopula.tau_simulated writing output... [ 21%] generated/statsmodels.distributions.copula.api.GumbelCopula.theta_from_tau writing output... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula writing output... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.cdf writing output... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.fit_corr_param writing output... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.logpdf writing output... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.pdf writing output... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.plot_pdf writing output... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.plot_scatter writing output... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.rvs writing output... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.tau writing output... [ 21%] generated/statsmodels.distributions.copula.api.IndependenceCopula.tau_simulated writing output... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula writing output... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.cdf writing output... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.corr_from_tau writing output... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.dependence_tail writing output... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.fit_corr_param writing output... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.logpdf writing output... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.pdf writing output... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.plot_pdf writing output... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.plot_scatter writing output... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.rvs writing output... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.spearmans_rho writing output... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.tau writing output... [ 21%] generated/statsmodels.distributions.copula.api.StudentTCopula.tau_simulated writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.cdf writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.entropy writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.expect writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.freeze writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.interval writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.isf writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.logcdf writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.logpmf writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.logsf writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.mean writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.median writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.moment writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.nnlf writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.pmf writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.ppf writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.random_state writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.rvs writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.sf writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.stats writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.std writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.support writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedCount.var writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.endog_names writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.exog_names writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.expandparams writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.fit writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.from_formula writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.get_distr writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.hessian writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.hessian_factor writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.information writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.initialize writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.loglike writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.loglikeobs writing output... [ 21%] generated/statsmodels.distributions.discrete.DiscretizedModel.nloglike writing output... [ 22%] generated/statsmodels.distributions.discrete.DiscretizedModel.predict writing output... [ 22%] generated/statsmodels.distributions.discrete.DiscretizedModel.reduceparams writing output... [ 22%] generated/statsmodels.distributions.discrete.DiscretizedModel.score writing output... [ 22%] generated/statsmodels.distributions.discrete.DiscretizedModel.score_obs writing output... [ 22%] generated/statsmodels.distributions.discrete.genpoisson_p writing output... [ 22%] generated/statsmodels.distributions.discrete.zigenpoisson writing output... [ 22%] generated/statsmodels.distributions.discrete.zinegbin writing output... [ 22%] generated/statsmodels.distributions.discrete.zipoisson writing output... [ 22%] generated/statsmodels.distributions.empirical_distribution.ECDF writing output... [ 22%] generated/statsmodels.distributions.empirical_distribution.ECDFDiscrete writing output... [ 22%] generated/statsmodels.distributions.empirical_distribution.StepFunction writing output... [ 22%] generated/statsmodels.distributions.empirical_distribution.monotone_fn_inverter writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.baseline_cumulative_hazard writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.baseline_cumulative_hazard_function writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.breslow_gradient writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.breslow_hessian writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.breslow_loglike writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.efron_gradient writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.efron_hessian writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.efron_loglike writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.endog_names writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.exog_names writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.fit writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.fit_regularized writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.from_formula writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.get_distribution writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.hessian writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.information writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.initialize writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.loglike writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.predict writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.robust_covariance writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.score writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.score_residuals writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHReg.weighted_covariate_averages writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.baseline_cumulative_hazard writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.baseline_cumulative_hazard_function writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.bse writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.conf_int writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.cov_params writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.f_test writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.get_distribution writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.initialize writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.llf writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.load writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.martingale_residuals writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.normalized_cov_params writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.predict writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.pvalues writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.remove_data writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.save writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.schoenfeld_residuals writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.score_residuals writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.standard_errors writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.summary writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.t_test writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.t_test_pairwise writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.tvalues writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.use_t writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.wald_test writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.wald_test_terms writing output... [ 22%] generated/statsmodels.duration.hazard_regression.PHRegResults.weighted_covariate_averages writing output... [ 22%] generated/statsmodels.duration.hazard_regression.rv_discrete_float writing output... [ 23%] generated/statsmodels.duration.hazard_regression.rv_discrete_float.mean writing output... [ 23%] generated/statsmodels.duration.hazard_regression.rv_discrete_float.rvs writing output... [ 23%] generated/statsmodels.duration.hazard_regression.rv_discrete_float.std writing output... [ 23%] generated/statsmodels.duration.hazard_regression.rv_discrete_float.var writing output... [ 23%] generated/statsmodels.duration.survfunc.SurvfuncRight writing output... [ 23%] generated/statsmodels.duration.survfunc.SurvfuncRight.plot writing output... [ 23%] generated/statsmodels.duration.survfunc.SurvfuncRight.quantile writing output... [ 23%] generated/statsmodels.duration.survfunc.SurvfuncRight.quantile_ci writing output... [ 23%] generated/statsmodels.duration.survfunc.SurvfuncRight.simultaneous_cb writing output... [ 23%] generated/statsmodels.duration.survfunc.SurvfuncRight.summary writing output... [ 23%] generated/statsmodels.emplike.descriptive.DescStat writing output... [ 23%] generated/statsmodels.emplike.descriptive.DescStatMV writing output... [ 23%] generated/statsmodels.emplike.descriptive.DescStatMV.ci_corr writing output... [ 23%] generated/statsmodels.emplike.descriptive.DescStatMV.mv_mean_contour writing output... [ 23%] generated/statsmodels.emplike.descriptive.DescStatMV.mv_test_mean writing output... [ 23%] generated/statsmodels.emplike.descriptive.DescStatMV.test_corr writing output... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV writing output... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.ci_kurt writing output... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.ci_mean writing output... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.ci_skew writing output... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.ci_var writing output... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.plot_contour writing output... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.test_joint_skew_kurt writing output... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.test_kurt writing output... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.test_mean writing output... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.test_skew writing output... [ 23%] generated/statsmodels.emplike.descriptive.DescStatUV.test_var writing output... [ 23%] generated/statsmodels.formula.api.conditional_logit writing output... [ 23%] generated/statsmodels.formula.api.conditional_mnlogit writing output... [ 23%] generated/statsmodels.formula.api.conditional_poisson writing output... [ 23%] generated/statsmodels.formula.api.gee writing output... [ 23%] generated/statsmodels.formula.api.glm writing output... [ 23%] generated/statsmodels.formula.api.glmgam writing output... [ 23%] generated/statsmodels.formula.api.gls writing output... [ 23%] generated/statsmodels.formula.api.glsar writing output... [ 23%] generated/statsmodels.formula.api.logit writing output... [ 23%] generated/statsmodels.formula.api.mixedlm writing output... [ 23%] generated/statsmodels.formula.api.mnlogit writing output... [ 23%] generated/statsmodels.formula.api.negativebinomial writing output... [ 23%] generated/statsmodels.formula.api.nominal_gee writing output... [ 23%] generated/statsmodels.formula.api.ols writing output... [ 23%] generated/statsmodels.formula.api.ordinal_gee writing output... [ 23%] generated/statsmodels.formula.api.phreg writing output... [ 23%] generated/statsmodels.formula.api.poisson writing output... [ 23%] generated/statsmodels.formula.api.probit writing output... [ 23%] generated/statsmodels.formula.api.quantreg writing output... [ 23%] generated/statsmodels.formula.api.rlm writing output... [ 23%] generated/statsmodels.formula.api.wls writing output... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam writing output... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.endog_names writing output... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.estimate_scale writing output... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.estimate_tweedie_power writing output... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.exog_names writing output... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.fit writing output... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.fit_constrained writing output... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.fit_regularized writing output... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.from_formula writing output... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.get_distribution writing output... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.hessian writing output... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.hessian_factor writing output... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.hessian_numdiff writing output... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.information writing output... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.initialize writing output... [ 23%] generated/statsmodels.gam.generalized_additive_model.GLMGam.loglike writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.loglike_mu writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.loglikeobs writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.predict writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.score writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.score_factor writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.score_numdiff writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.score_obs writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.score_test writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.select_penweight writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGam.select_penweight_kfold writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.aic writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.bic writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.bic_deviance writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.bic_llf writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.bse writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.conf_int writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.cov_params writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.cv writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.deviance writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.edf writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.f_test writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.fittedvalues writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.gcv writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.get_distribution writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.get_hat_matrix_diag writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.get_influence writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.get_margeff writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.get_prediction writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.hat_matrix_diag writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.hat_matrix_trace writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.info_criteria writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.initialize writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.llf writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.llf_scaled writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.llnull writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.load writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.mu writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.normalized_cov_params writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.null writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.null_deviance writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.partial_values writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.pearson_chi2 writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.plot_added_variable writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.plot_ceres_residuals writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.plot_partial writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.plot_partial_residuals writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.predict writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.pseudo_rsquared writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.pvalues writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.remove_data writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.resid_anscombe writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.resid_anscombe_scaled writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.resid_anscombe_unscaled writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.resid_deviance writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.resid_pearson writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.resid_response writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.resid_working writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.save writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.score_test writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.summary writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.summary2 writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.t_test writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.t_test_pairwise writing output... [ 24%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.test_significance writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.tvalues writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.use_t writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.wald_test writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.GLMGamResults.wald_test_terms writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.cdf writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.cov_params_func_l1 writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.endog_names writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.exog_names writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.family writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.fit writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.fit_constrained writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.fit_regularized writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.from_formula writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.get_distribution writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.hessian writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.hessian_factor writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.hessian_numdiff writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.information writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.initialize writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.link writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.loglike writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.loglikeobs writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.pdf writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.predict writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.score writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.score_factor writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.score_numdiff writing output... [ 25%] generated/statsmodels.gam.generalized_additive_model.LogitGam.score_obs writing output... [ 25%] generated/statsmodels.gam.smooth_basis.BSplines writing output... [ 25%] generated/statsmodels.gam.smooth_basis.BSplines.transform writing output... [ 25%] generated/statsmodels.gam.smooth_basis.CyclicCubicSplines writing output... [ 25%] generated/statsmodels.gam.smooth_basis.CyclicCubicSplines.transform writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BayesMixedGLMResults writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BayesMixedGLMResults.cov_params writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BayesMixedGLMResults.predict writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BayesMixedGLMResults.random_effects writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BayesMixedGLMResults.summary writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.endog_names writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.exog_names writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.fit writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.fit_map writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.fit_vb writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.from_formula writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.logposterior writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.logposterior_grad writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.predict writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.rng writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.vb_elbo writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.vb_elbo_base writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.vb_elbo_grad writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.vb_elbo_grad_base writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.BinomialBayesMixedGLM.verbose writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.endog_names writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.exog_names writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.fit writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.fit_map writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.fit_vb writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.from_formula writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.logposterior writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.logposterior_grad writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.predict writing output... [ 25%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.rng writing output... [ 26%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.vb_elbo writing output... [ 26%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.vb_elbo_base writing output... [ 26%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.vb_elbo_grad writing output... [ 26%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.vb_elbo_grad_base writing output... [ 26%] generated/statsmodels.genmod.bayes_mixed_glm.PoissonBayesMixedGLM.verbose writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Autoregressive writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Autoregressive.covariance_matrix writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Autoregressive.covariance_matrix_solve writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Autoregressive.initialize writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Autoregressive.summary writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Autoregressive.update writing output... [ 26%] generated/statsmodels.genmod.cov_struct.CovStruct writing output... [ 26%] generated/statsmodels.genmod.cov_struct.CovStruct.covariance_matrix writing output... [ 26%] generated/statsmodels.genmod.cov_struct.CovStruct.covariance_matrix_solve writing output... [ 26%] generated/statsmodels.genmod.cov_struct.CovStruct.initialize writing output... [ 26%] generated/statsmodels.genmod.cov_struct.CovStruct.summary writing output... [ 26%] generated/statsmodels.genmod.cov_struct.CovStruct.update writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Exchangeable writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Exchangeable.covariance_matrix writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Exchangeable.covariance_matrix_solve writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Exchangeable.initialize writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Exchangeable.summary writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Exchangeable.update writing output... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio writing output... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio.covariance_matrix writing output... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio.covariance_matrix_solve writing output... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio.get_eyy writing output... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio.initialize writing output... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio.observed_crude_oddsratio writing output... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio.pooled_odds_ratio writing output... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio.summary writing output... [ 26%] generated/statsmodels.genmod.cov_struct.GlobalOddsRatio.update writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Independence writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Independence.covariance_matrix writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Independence.covariance_matrix_solve writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Independence.initialize writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Independence.summary writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Independence.update writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Nested writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Nested.covariance_matrix writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Nested.covariance_matrix_solve writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Nested.initialize writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Nested.summary writing output... [ 26%] generated/statsmodels.genmod.cov_struct.Nested.update writing output... [ 26%] generated/statsmodels.genmod.families.family.Binomial writing output... [ 26%] generated/statsmodels.genmod.families.family.Binomial.deviance writing output... [ 26%] generated/statsmodels.genmod.families.family.Binomial.fitted writing output... [ 26%] generated/statsmodels.genmod.families.family.Binomial.get_distribution writing output... [ 26%] generated/statsmodels.genmod.families.family.Binomial.initialize writing output... [ 26%] generated/statsmodels.genmod.families.family.Binomial.link writing output... [ 26%] generated/statsmodels.genmod.families.family.Binomial.links writing output... [ 26%] generated/statsmodels.genmod.families.family.Binomial.loglike writing output... [ 26%] generated/statsmodels.genmod.families.family.Binomial.loglike_obs writing output... [ 26%] generated/statsmodels.genmod.families.family.Binomial.predict writing output... [ 26%] generated/statsmodels.genmod.families.family.Binomial.resid_anscombe writing output... [ 26%] generated/statsmodels.genmod.families.family.Binomial.resid_dev writing output... [ 26%] generated/statsmodels.genmod.families.family.Binomial.safe_links writing output... [ 26%] generated/statsmodels.genmod.families.family.Binomial.starting_mu writing output... [ 26%] generated/statsmodels.genmod.families.family.Binomial.valid writing output... [ 26%] generated/statsmodels.genmod.families.family.Binomial.variance writing output... [ 26%] generated/statsmodels.genmod.families.family.Binomial.weights writing output... [ 26%] generated/statsmodels.genmod.families.family.Family writing output... [ 26%] generated/statsmodels.genmod.families.family.Family.deviance writing output... [ 26%] generated/statsmodels.genmod.families.family.Family.fitted writing output... [ 27%] generated/statsmodels.genmod.families.family.Family.link writing output... [ 27%] generated/statsmodels.genmod.families.family.Family.links writing output... [ 27%] generated/statsmodels.genmod.families.family.Family.loglike writing output... [ 27%] generated/statsmodels.genmod.families.family.Family.loglike_obs writing output... [ 27%] generated/statsmodels.genmod.families.family.Family.predict writing output... [ 27%] generated/statsmodels.genmod.families.family.Family.resid_anscombe writing output... [ 27%] generated/statsmodels.genmod.families.family.Family.resid_dev writing output... [ 27%] generated/statsmodels.genmod.families.family.Family.starting_mu writing output... [ 27%] generated/statsmodels.genmod.families.family.Family.valid writing output... [ 27%] generated/statsmodels.genmod.families.family.Family.weights writing output... [ 27%] generated/statsmodels.genmod.families.family.Gamma writing output... [ 27%] generated/statsmodels.genmod.families.family.Gamma.deviance writing output... [ 27%] generated/statsmodels.genmod.families.family.Gamma.fitted writing output... [ 27%] generated/statsmodels.genmod.families.family.Gamma.get_distribution writing output... [ 27%] generated/statsmodels.genmod.families.family.Gamma.link writing output... [ 27%] generated/statsmodels.genmod.families.family.Gamma.links writing output... [ 27%] generated/statsmodels.genmod.families.family.Gamma.loglike writing output... [ 27%] generated/statsmodels.genmod.families.family.Gamma.loglike_obs writing output... [ 27%] generated/statsmodels.genmod.families.family.Gamma.predict writing output... [ 27%] generated/statsmodels.genmod.families.family.Gamma.resid_anscombe writing output... [ 27%] generated/statsmodels.genmod.families.family.Gamma.resid_dev writing output... [ 27%] generated/statsmodels.genmod.families.family.Gamma.safe_links writing output... [ 27%] generated/statsmodels.genmod.families.family.Gamma.starting_mu writing output... [ 27%] generated/statsmodels.genmod.families.family.Gamma.valid writing output... [ 27%] generated/statsmodels.genmod.families.family.Gamma.variance writing output... [ 27%] generated/statsmodels.genmod.families.family.Gamma.weights writing output... [ 27%] generated/statsmodels.genmod.families.family.Gaussian writing output... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.deviance writing output... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.fitted writing output... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.get_distribution writing output... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.link writing output... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.links writing output... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.loglike writing output... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.loglike_obs writing output... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.predict writing output... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.resid_anscombe writing output... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.resid_dev writing output... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.safe_links writing output... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.starting_mu writing output... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.valid writing output... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.variance writing output... [ 27%] generated/statsmodels.genmod.families.family.Gaussian.weights writing output... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian writing output... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.deviance writing output... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.fitted writing output... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.get_distribution writing output... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.link writing output... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.links writing output... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.loglike writing output... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.loglike_obs writing output... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.predict writing output... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.resid_anscombe writing output... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.resid_dev writing output... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.safe_links writing output... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.starting_mu writing output... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.valid writing output... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.variance writing output... [ 27%] generated/statsmodels.genmod.families.family.InverseGaussian.weights writing output... [ 27%] generated/statsmodels.genmod.families.family.NegativeBinomial writing output... [ 27%] generated/statsmodels.genmod.families.family.NegativeBinomial.deviance writing output... [ 27%] generated/statsmodels.genmod.families.family.NegativeBinomial.fitted writing output... [ 27%] generated/statsmodels.genmod.families.family.NegativeBinomial.get_distribution writing output... [ 27%] generated/statsmodels.genmod.families.family.NegativeBinomial.link writing output... [ 27%] generated/statsmodels.genmod.families.family.NegativeBinomial.links writing output... [ 27%] generated/statsmodels.genmod.families.family.NegativeBinomial.loglike writing output... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.loglike_obs writing output... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.predict writing output... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.resid_anscombe writing output... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.resid_dev writing output... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.safe_links writing output... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.starting_mu writing output... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.valid writing output... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.variance writing output... [ 28%] generated/statsmodels.genmod.families.family.NegativeBinomial.weights writing output... [ 28%] generated/statsmodels.genmod.families.family.Poisson writing output... [ 28%] generated/statsmodels.genmod.families.family.Poisson.deviance writing output... [ 28%] generated/statsmodels.genmod.families.family.Poisson.fitted writing output... [ 28%] generated/statsmodels.genmod.families.family.Poisson.get_distribution writing output... [ 28%] generated/statsmodels.genmod.families.family.Poisson.link writing output... [ 28%] generated/statsmodels.genmod.families.family.Poisson.links writing output... [ 28%] generated/statsmodels.genmod.families.family.Poisson.loglike writing output... [ 28%] generated/statsmodels.genmod.families.family.Poisson.loglike_obs writing output... [ 28%] generated/statsmodels.genmod.families.family.Poisson.predict writing output... [ 28%] generated/statsmodels.genmod.families.family.Poisson.resid_anscombe writing output... [ 28%] generated/statsmodels.genmod.families.family.Poisson.resid_dev writing output... [ 28%] generated/statsmodels.genmod.families.family.Poisson.safe_links writing output... [ 28%] generated/statsmodels.genmod.families.family.Poisson.starting_mu writing output... [ 28%] generated/statsmodels.genmod.families.family.Poisson.valid writing output... [ 28%] generated/statsmodels.genmod.families.family.Poisson.variance writing output... [ 28%] generated/statsmodels.genmod.families.family.Poisson.weights writing output... [ 28%] generated/statsmodels.genmod.families.family.Tweedie writing output... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.deviance writing output... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.fitted writing output... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.link writing output... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.links writing output... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.loglike writing output... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.loglike_obs writing output... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.predict writing output... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.resid_anscombe writing output... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.resid_dev writing output... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.safe_links writing output... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.starting_mu writing output... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.valid writing output... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.variance writing output... [ 28%] generated/statsmodels.genmod.families.family.Tweedie.weights writing output... [ 28%] generated/statsmodels.genmod.families.links.CDFLink writing output... [ 28%] generated/statsmodels.genmod.families.links.CDFLink.deriv writing output... [ 28%] generated/statsmodels.genmod.families.links.CDFLink.deriv2 writing output... [ 28%] generated/statsmodels.genmod.families.links.CDFLink.deriv2_numdiff writing output... [ 28%] generated/statsmodels.genmod.families.links.CDFLink.inverse writing output... [ 28%] generated/statsmodels.genmod.families.links.CDFLink.inverse_deriv writing output... [ 28%] generated/statsmodels.genmod.families.links.CDFLink.inverse_deriv2 writing output... [ 28%] generated/statsmodels.genmod.families.links.CLogLog writing output... [ 28%] generated/statsmodels.genmod.families.links.CLogLog.deriv writing output... [ 28%] generated/statsmodels.genmod.families.links.CLogLog.deriv2 writing output... [ 28%] generated/statsmodels.genmod.families.links.CLogLog.inverse writing output... [ 28%] generated/statsmodels.genmod.families.links.CLogLog.inverse_deriv writing output... [ 28%] generated/statsmodels.genmod.families.links.CLogLog.inverse_deriv2 writing output... [ 28%] generated/statsmodels.genmod.families.links.Cauchy writing output... [ 28%] generated/statsmodels.genmod.families.links.Cauchy.deriv writing output... [ 28%] generated/statsmodels.genmod.families.links.Cauchy.deriv2 writing output... [ 28%] generated/statsmodels.genmod.families.links.Cauchy.deriv2_numdiff writing output... [ 28%] generated/statsmodels.genmod.families.links.Cauchy.inverse writing output... [ 28%] generated/statsmodels.genmod.families.links.Cauchy.inverse_deriv writing output... [ 28%] generated/statsmodels.genmod.families.links.Cauchy.inverse_deriv2 writing output... [ 28%] generated/statsmodels.genmod.families.links.Identity writing output... [ 28%] generated/statsmodels.genmod.families.links.Identity.deriv writing output... [ 28%] generated/statsmodels.genmod.families.links.Identity.deriv2 writing output... [ 28%] generated/statsmodels.genmod.families.links.Identity.inverse writing output... [ 28%] generated/statsmodels.genmod.families.links.Identity.inverse_deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.Identity.inverse_deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.InversePower writing output... [ 29%] generated/statsmodels.genmod.families.links.InversePower.deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.InversePower.deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.InversePower.inverse writing output... [ 29%] generated/statsmodels.genmod.families.links.InversePower.inverse_deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.InversePower.inverse_deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.InverseSquared writing output... [ 29%] generated/statsmodels.genmod.families.links.InverseSquared.deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.InverseSquared.deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.InverseSquared.inverse writing output... [ 29%] generated/statsmodels.genmod.families.links.InverseSquared.inverse_deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.InverseSquared.inverse_deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.Link writing output... [ 29%] generated/statsmodels.genmod.families.links.Link.deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.Link.deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.Link.inverse writing output... [ 29%] generated/statsmodels.genmod.families.links.Link.inverse_deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.Link.inverse_deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.Log writing output... [ 29%] generated/statsmodels.genmod.families.links.Log.deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.Log.deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.Log.inverse writing output... [ 29%] generated/statsmodels.genmod.families.links.Log.inverse_deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.Log.inverse_deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.LogC writing output... [ 29%] generated/statsmodels.genmod.families.links.LogC.deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.LogC.deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.LogC.inverse writing output... [ 29%] generated/statsmodels.genmod.families.links.LogC.inverse_deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.LogC.inverse_deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.LogLog writing output... [ 29%] generated/statsmodels.genmod.families.links.LogLog.deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.LogLog.deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.LogLog.inverse writing output... [ 29%] generated/statsmodels.genmod.families.links.LogLog.inverse_deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.LogLog.inverse_deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.Logit writing output... [ 29%] generated/statsmodels.genmod.families.links.Logit.deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.Logit.deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.Logit.inverse writing output... [ 29%] generated/statsmodels.genmod.families.links.Logit.inverse_deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.Logit.inverse_deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.NegativeBinomial writing output... [ 29%] generated/statsmodels.genmod.families.links.NegativeBinomial.deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.NegativeBinomial.deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.NegativeBinomial.inverse writing output... [ 29%] generated/statsmodels.genmod.families.links.NegativeBinomial.inverse_deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.NegativeBinomial.inverse_deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.Power writing output... [ 29%] generated/statsmodels.genmod.families.links.Power.deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.Power.deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.Power.inverse writing output... [ 29%] generated/statsmodels.genmod.families.links.Power.inverse_deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.Power.inverse_deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.Probit writing output... [ 29%] generated/statsmodels.genmod.families.links.Probit.deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.Probit.deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.links.Probit.deriv2_numdiff writing output... [ 29%] generated/statsmodels.genmod.families.links.Probit.inverse writing output... [ 29%] generated/statsmodels.genmod.families.links.Probit.inverse_deriv writing output... [ 29%] generated/statsmodels.genmod.families.links.Probit.inverse_deriv2 writing output... [ 29%] generated/statsmodels.genmod.families.varfuncs.Binomial writing output... [ 29%] generated/statsmodels.genmod.families.varfuncs.Binomial.deriv writing output... [ 30%] generated/statsmodels.genmod.families.varfuncs.NegativeBinomial writing output... [ 30%] generated/statsmodels.genmod.families.varfuncs.NegativeBinomial.deriv writing output... [ 30%] generated/statsmodels.genmod.families.varfuncs.Power writing output... [ 30%] generated/statsmodels.genmod.families.varfuncs.Power.deriv writing output... [ 30%] generated/statsmodels.genmod.families.varfuncs.VarianceFunction writing output... [ 30%] generated/statsmodels.genmod.families.varfuncs.VarianceFunction.deriv writing output... [ 30%] generated/statsmodels.genmod.families.varfuncs.binary writing output... [ 30%] generated/statsmodels.genmod.families.varfuncs.constant writing output... [ 30%] generated/statsmodels.genmod.families.varfuncs.mu writing output... [ 30%] generated/statsmodels.genmod.families.varfuncs.mu_cubed writing output... [ 30%] generated/statsmodels.genmod.families.varfuncs.mu_squared writing output... [ 30%] generated/statsmodels.genmod.families.varfuncs.nbinom writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.cached_means writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.cluster_list writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.compare_score_test writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.endog_names writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.estimate_scale writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.estimate_tweedie_power writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.exog_names writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.fit writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.fit_constrained writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.fit_regularized writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.from_formula writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.get_distribution writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.hessian writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.hessian_factor writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.information writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.initialize writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.loglike writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.loglike_mu writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.mean_deriv writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.mean_deriv_exog writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.predict writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.qic writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.score writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.score_factor writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.score_obs writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.score_test writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEE.update_cached_means writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEMargins writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEMargins.conf_int writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEMargins.get_margeff writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEMargins.pvalues writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEMargins.summary writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEMargins.summary_frame writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEMargins.tvalues writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.aic writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.bic writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.bic_deviance writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.bic_llf writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.bse writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.centered_resid writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.conf_int writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.cov_params writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.deviance writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.f_test writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.fittedvalues writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.get_distribution writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.get_hat_matrix_diag writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.get_influence writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.get_margeff writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.get_prediction writing output... [ 30%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.info_criteria writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.initialize writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.llf writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.llf_scaled writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.llnull writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.load writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.mu writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.normalized_cov_params writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.null writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.null_deviance writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.params_sensitivity writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.pearson_chi2 writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.plot_added_variable writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.plot_ceres_residuals writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.plot_isotropic_dependence writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.plot_partial_residuals writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.predict writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.pseudo_rsquared writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.pvalues writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.qic writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.remove_data writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_anscombe writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_anscombe_scaled writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_anscombe_unscaled writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_centered writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_centered_split writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_deviance writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_pearson writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_response writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_split writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.resid_working writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.save writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.score_test writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.sensitivity_params writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.split_centered_resid writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.split_resid writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.standard_errors writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.summary writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.summary2 writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.t_test writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.t_test_pairwise writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.tvalues writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.use_t writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.wald_test writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.GEEResults.wald_test_terms writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.cached_means writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.cluster_list writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.compare_score_test writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.endog_names writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.estimate_scale writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.estimate_tweedie_power writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.exog_names writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.fit writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.fit_constrained writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.fit_regularized writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.from_formula writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.get_distribution writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.hessian writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.hessian_factor writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.information writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.initialize writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.loglike writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.loglike_mu writing output... [ 31%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.mean_deriv writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.mean_deriv_exog writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.predict writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.qic writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.score writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.score_factor writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.score_obs writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.score_test writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.setup_nominal writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.NominalGEE.update_cached_means writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.cached_means writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.cluster_list writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.compare_score_test writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.endog_names writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.estimate_scale writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.estimate_tweedie_power writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.exog_names writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.fit writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.fit_constrained writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.fit_regularized writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.from_formula writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.get_distribution writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.hessian writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.hessian_factor writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.information writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.initialize writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.loglike writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.loglike_mu writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.mean_deriv writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.mean_deriv_exog writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.predict writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.qic writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.score writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.score_factor writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.score_obs writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.score_test writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.setup_ordinal writing output... [ 32%] generated/statsmodels.genmod.generalized_estimating_equations.OrdinalGEE.update_cached_means writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.endog_names writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.estimate_scale writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.estimate_tweedie_power writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.exog_names writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.fit writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.fit_constrained writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.fit_regularized writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.from_formula writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.get_distribution writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.hessian writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.hessian_factor writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.information writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.initialize writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.loglike writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.loglike_mu writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.predict writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.score writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.score_factor writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.score_obs writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLM.score_test writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLMResults writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.aic writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.bic writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.bic_deviance writing output... [ 32%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.bic_llf writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.bse writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.conf_int writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.cov_params writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.deviance writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.f_test writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.fittedvalues writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.get_distribution writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.get_hat_matrix_diag writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.get_influence writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.get_margeff writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.get_prediction writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.info_criteria writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.initialize writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.llf writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.llf_scaled writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.llnull writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.load writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.mu writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.normalized_cov_params writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.null writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.null_deviance writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.pearson_chi2 writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.plot_added_variable writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.plot_ceres_residuals writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.plot_partial_residuals writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.predict writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.pseudo_rsquared writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.pvalues writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.remove_data writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.resid_anscombe writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.resid_anscombe_scaled writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.resid_anscombe_unscaled writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.resid_deviance writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.resid_pearson writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.resid_response writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.resid_working writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.save writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.score_test writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.summary writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.summary2 writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.t_test writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.t_test_pairwise writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.tvalues writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.use_t writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.wald_test writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.GLMResults.wald_test_terms writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean.conf_int writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean.predicted_mean writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean.se writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean.se_mean writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean.summary_frame writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean.t_test writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean.tvalues writing output... [ 33%] generated/statsmodels.genmod.generalized_linear_model.PredictionResultsMean.var_pred_mean writing output... [ 33%] generated/statsmodels.genmod.qif.QIF writing output... [ 33%] generated/statsmodels.genmod.qif.QIF.endog_names writing output... [ 33%] generated/statsmodels.genmod.qif.QIF.estimate_scale writing output... [ 33%] generated/statsmodels.genmod.qif.QIF.exog_names writing output... [ 33%] generated/statsmodels.genmod.qif.QIF.fit writing output... [ 33%] generated/statsmodels.genmod.qif.QIF.from_formula writing output... [ 33%] generated/statsmodels.genmod.qif.QIF.objective writing output... [ 33%] generated/statsmodels.genmod.qif.QIF.predict writing output... [ 33%] generated/statsmodels.genmod.qif.QIFResults writing output... [ 33%] generated/statsmodels.genmod.qif.QIFResults.aic writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.bic writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.bse writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.conf_int writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.cov_params writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.f_test writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.fittedvalues writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.initialize writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.llf writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.load writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.normalized_cov_params writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.predict writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.pvalues writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.remove_data writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.save writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.summary writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.t_test writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.t_test_pairwise writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.tvalues writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.use_t writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.wald_test writing output... [ 34%] generated/statsmodels.genmod.qif.QIFResults.wald_test_terms writing output... [ 34%] generated/statsmodels.graphics.agreement.mean_diff_plot writing output... [ 34%] generated/statsmodels.graphics.boxplots.beanplot writing output... [ 34%] generated/statsmodels.graphics.boxplots.violinplot writing output... [ 34%] generated/statsmodels.graphics.correlation.plot_corr writing output... [ 34%] generated/statsmodels.graphics.correlation.plot_corr_grid writing output... [ 34%] generated/statsmodels.graphics.dotplots.dot_plot writing output... [ 34%] generated/statsmodels.graphics.factorplots.interaction_plot writing output... [ 34%] generated/statsmodels.graphics.functional.banddepth writing output... [ 34%] generated/statsmodels.graphics.functional.fboxplot writing output... [ 34%] generated/statsmodels.graphics.functional.hdrboxplot writing output... [ 34%] generated/statsmodels.graphics.functional.rainbowplot writing output... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot writing output... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot.ppplot writing output... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot.probplot writing output... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot.qqplot writing output... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot.sample_percentiles writing output... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot.sample_quantiles writing output... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot.sorted_data writing output... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot.theoretical_percentiles writing output... [ 34%] generated/statsmodels.graphics.gofplots.ProbPlot.theoretical_quantiles writing output... [ 34%] generated/statsmodels.graphics.gofplots.qqline writing output... [ 34%] generated/statsmodels.graphics.gofplots.qqplot writing output... [ 34%] generated/statsmodels.graphics.gofplots.qqplot_2samples writing output... [ 34%] generated/statsmodels.graphics.mosaicplot.mosaic writing output... [ 34%] generated/statsmodels.graphics.plot_grids.scatter_ellipse writing output... [ 34%] generated/statsmodels.graphics.regressionplots.abline_plot writing output... [ 34%] generated/statsmodels.graphics.regressionplots.influence_plot writing output... [ 34%] generated/statsmodels.graphics.regressionplots.plot_ccpr writing output... [ 34%] generated/statsmodels.graphics.regressionplots.plot_ccpr_grid writing output... [ 34%] generated/statsmodels.graphics.regressionplots.plot_ceres_residuals writing output... [ 34%] generated/statsmodels.graphics.regressionplots.plot_fit writing output... [ 34%] generated/statsmodels.graphics.regressionplots.plot_leverage_resid2 writing output... [ 34%] generated/statsmodels.graphics.regressionplots.plot_partregress writing output... [ 34%] generated/statsmodels.graphics.regressionplots.plot_partregress_grid writing output... [ 34%] generated/statsmodels.graphics.regressionplots.plot_regress_exog writing output... [ 34%] generated/statsmodels.graphics.tsaplots.month_plot writing output... [ 34%] generated/statsmodels.graphics.tsaplots.plot_accf_grid writing output... [ 34%] generated/statsmodels.graphics.tsaplots.plot_acf writing output... [ 34%] generated/statsmodels.graphics.tsaplots.plot_ccf writing output... [ 34%] generated/statsmodels.graphics.tsaplots.plot_pacf writing output... [ 34%] generated/statsmodels.graphics.tsaplots.quarter_plot writing output... [ 34%] generated/statsmodels.imputation.bayes_mi.BayesGaussMI writing output... [ 34%] generated/statsmodels.imputation.bayes_mi.BayesGaussMI.update writing output... [ 34%] generated/statsmodels.imputation.bayes_mi.BayesGaussMI.update_cov writing output... [ 35%] generated/statsmodels.imputation.bayes_mi.BayesGaussMI.update_data writing output... [ 35%] generated/statsmodels.imputation.bayes_mi.BayesGaussMI.update_mean writing output... [ 35%] generated/statsmodels.imputation.bayes_mi.MI writing output... [ 35%] generated/statsmodels.imputation.bayes_mi.MI.fit writing output... [ 35%] generated/statsmodels.imputation.mice.MICE writing output... [ 35%] generated/statsmodels.imputation.mice.MICE.combine writing output... [ 35%] generated/statsmodels.imputation.mice.MICE.fit writing output... [ 35%] generated/statsmodels.imputation.mice.MICE.next_sample writing output... [ 35%] generated/statsmodels.imputation.mice.MICEData writing output... [ 35%] generated/statsmodels.imputation.mice.MICEData.get_fitting_data writing output... [ 35%] generated/statsmodels.imputation.mice.MICEData.get_split_data writing output... [ 35%] generated/statsmodels.imputation.mice.MICEData.impute writing output... [ 35%] generated/statsmodels.imputation.mice.MICEData.impute_pmm writing output... [ 35%] generated/statsmodels.imputation.mice.MICEData.next_sample writing output... [ 35%] generated/statsmodels.imputation.mice.MICEData.perturb_params writing output... [ 35%] generated/statsmodels.imputation.mice.MICEData.plot_bivariate writing output... [ 35%] generated/statsmodels.imputation.mice.MICEData.plot_fit_obs writing output... [ 35%] generated/statsmodels.imputation.mice.MICEData.plot_imputed_hist writing output... [ 35%] generated/statsmodels.imputation.mice.MICEData.plot_missing_pattern writing output... [ 35%] generated/statsmodels.imputation.mice.MICEData.set_imputer writing output... [ 35%] generated/statsmodels.imputation.mice.MICEData.update writing output... [ 35%] generated/statsmodels.imputation.mice.MICEData.update_all writing output... [ 35%] generated/statsmodels.iolib.foreign.savetxt writing output... [ 35%] generated/statsmodels.iolib.smpickle.load_pickle writing output... [ 35%] generated/statsmodels.iolib.smpickle.save_pickle writing output... [ 35%] generated/statsmodels.iolib.summary.Summary writing output... [ 35%] generated/statsmodels.iolib.summary.Summary.add_extra_txt writing output... [ 35%] generated/statsmodels.iolib.summary.Summary.add_table_2cols writing output... [ 35%] generated/statsmodels.iolib.summary.Summary.add_table_params writing output... [ 35%] generated/statsmodels.iolib.summary.Summary.as_csv writing output... [ 35%] generated/statsmodels.iolib.summary.Summary.as_html writing output... [ 35%] generated/statsmodels.iolib.summary.Summary.as_latex writing output... [ 35%] generated/statsmodels.iolib.summary.Summary.as_text writing output... [ 35%] generated/statsmodels.iolib.summary2.Summary writing output... [ 35%] generated/statsmodels.iolib.summary2.Summary.add_array writing output... [ 35%] generated/statsmodels.iolib.summary2.Summary.add_base writing output... [ 35%] generated/statsmodels.iolib.summary2.Summary.add_df writing output... [ 35%] generated/statsmodels.iolib.summary2.Summary.add_dict writing output... [ 35%] generated/statsmodels.iolib.summary2.Summary.add_text writing output... [ 35%] generated/statsmodels.iolib.summary2.Summary.add_title writing output... [ 35%] generated/statsmodels.iolib.summary2.Summary.as_html writing output... [ 35%] generated/statsmodels.iolib.summary2.Summary.as_latex writing output... [ 35%] generated/statsmodels.iolib.summary2.Summary.as_text writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.append writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.as_csv writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.as_html writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.as_latex_tabular writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.as_text writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.clear writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.copy writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.count writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.data writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.extend writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.extend_right writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.get_colwidths writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.index writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.insert writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.insert_header_row writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.insert_stubs writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.label_cells writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.pad writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.pop writing output... [ 35%] generated/statsmodels.iolib.table.SimpleTable.remove writing output... [ 36%] generated/statsmodels.iolib.table.SimpleTable.reverse writing output... [ 36%] generated/statsmodels.iolib.table.SimpleTable.sort writing output... [ 36%] generated/statsmodels.iolib.table.csv2st writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.endog_names writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.exog_names writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.expandparams writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.fit writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.from_formula writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.hessian writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.hessian_factor writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.information writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.initialize writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.loglike writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.loglikeobs writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.nloglike writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.nloglikeobs writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.predict writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.predict_distribution writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.reduceparams writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.score writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonGMLE.score_obs writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.endog_names writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.exog_names writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.expandparams writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.fit writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.from_formula writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.hessian writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.hessian_factor writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.information writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.initialize writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.loglike writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.loglikeobs writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.nloglike writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.nloglikeobs writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.predict writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.reduceparams writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.score writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonOffsetGMLE.score_obs writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.endog_names writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.exog_names writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.expandparams writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.fit writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.from_formula writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.hessian writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.hessian_factor writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.information writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.initialize writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.loglike writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.loglikeobs writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.nloglike writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.nloglikeobs writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.predict writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.reduceparams writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.score writing output... [ 36%] generated/statsmodels.miscmodels.count.PoissonZiGMLE.score_obs writing output... [ 36%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel writing output... [ 36%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.cdf writing output... [ 36%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.endog_names writing output... [ 36%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.exog_names writing output... [ 36%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.expandparams writing output... [ 36%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.fit writing output... [ 36%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.from_formula writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.hessian writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.hessian_factor writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.information writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.initialize writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.loglike writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.loglikeobs writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.nloglike writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.pdf writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.predict writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.prob writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.reduceparams writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.score writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.score_obs writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.score_obs_ writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.start_params writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.transform_reverse_threshold_params writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedModel.transform_threshold_params writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.aic writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.bic writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.bootstrap writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.bse writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.bsejac writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.bsejhj writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.conf_int writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.cov_params writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.covjac writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.covjhj writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.df_modelwc writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.f_test writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.get_nlfun writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.get_prediction writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.hessv writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.initialize writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.llf writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.llnull writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.llr writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.llr_pvalue writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.load writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.normalized_cov_params writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.pred_table writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.predict writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.prsquared writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.pvalues writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.remove_data writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.resid_prob writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.save writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.score_obsv writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.summary writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.t_test writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.t_test_pairwise writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.tvalues writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.use_t writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.wald_test writing output... [ 37%] generated/statsmodels.miscmodels.ordinal_model.OrderedResults.wald_test_terms writing output... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel writing output... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.endog_names writing output... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.exog_names writing output... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.expandparams writing output... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.fit writing output... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.from_formula writing output... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.hessian writing output... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.hessian_factor writing output... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.information writing output... [ 37%] generated/statsmodels.miscmodels.tmodel.TLinearModel.initialize writing output... [ 38%] generated/statsmodels.miscmodels.tmodel.TLinearModel.loglike writing output... [ 38%] generated/statsmodels.miscmodels.tmodel.TLinearModel.loglikeobs writing output... [ 38%] generated/statsmodels.miscmodels.tmodel.TLinearModel.nloglike writing output... [ 38%] generated/statsmodels.miscmodels.tmodel.TLinearModel.nloglikeobs writing output... [ 38%] generated/statsmodels.miscmodels.tmodel.TLinearModel.predict writing output... [ 38%] generated/statsmodels.miscmodels.tmodel.TLinearModel.reduceparams writing output... [ 38%] generated/statsmodels.miscmodels.tmodel.TLinearModel.score writing output... [ 38%] generated/statsmodels.miscmodels.tmodel.TLinearModel.score_obs writing output... [ 38%] generated/statsmodels.multivariate.cancorr.CanCorr writing output... [ 38%] generated/statsmodels.multivariate.cancorr.CanCorr.corr_test writing output... [ 38%] generated/statsmodels.multivariate.cancorr.CanCorr.endog_names writing output... [ 38%] generated/statsmodels.multivariate.cancorr.CanCorr.exog_names writing output... [ 38%] generated/statsmodels.multivariate.cancorr.CanCorr.fit writing output... [ 38%] generated/statsmodels.multivariate.cancorr.CanCorr.from_formula writing output... [ 38%] generated/statsmodels.multivariate.cancorr.CanCorr.predict writing output... [ 38%] generated/statsmodels.multivariate.factor.Factor writing output... [ 38%] generated/statsmodels.multivariate.factor.Factor.endog_names writing output... [ 38%] generated/statsmodels.multivariate.factor.Factor.exog_names writing output... [ 38%] generated/statsmodels.multivariate.factor.Factor.fit writing output... [ 38%] generated/statsmodels.multivariate.factor.Factor.from_formula writing output... [ 38%] generated/statsmodels.multivariate.factor.Factor.loglike writing output... [ 38%] generated/statsmodels.multivariate.factor.Factor.predict writing output... [ 38%] generated/statsmodels.multivariate.factor.Factor.score writing output... [ 38%] generated/statsmodels.multivariate.factor.FactorResults writing output... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.factor_score_params writing output... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.factor_scoring writing output... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.fitted_cov writing output... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.get_loadings_frame writing output... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.load_stderr writing output... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.plot_loadings writing output... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.plot_scree writing output... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.rotate writing output... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.summary writing output... [ 38%] generated/statsmodels.multivariate.factor.FactorResults.uniq_stderr writing output... [ 38%] generated/statsmodels.multivariate.factor_rotation.procrustes writing output... [ 38%] generated/statsmodels.multivariate.factor_rotation.promax writing output... [ 38%] generated/statsmodels.multivariate.factor_rotation.rotate_factors writing output... [ 38%] generated/statsmodels.multivariate.factor_rotation.target_rotation writing output... [ 38%] generated/statsmodels.multivariate.manova.MANOVA writing output... [ 38%] generated/statsmodels.multivariate.manova.MANOVA.endog_names writing output... [ 38%] generated/statsmodels.multivariate.manova.MANOVA.exog_names writing output... [ 38%] generated/statsmodels.multivariate.manova.MANOVA.fit writing output... [ 38%] generated/statsmodels.multivariate.manova.MANOVA.from_formula writing output... [ 38%] generated/statsmodels.multivariate.manova.MANOVA.mv_test writing output... [ 38%] generated/statsmodels.multivariate.manova.MANOVA.predict writing output... [ 38%] generated/statsmodels.multivariate.multivariate_ols.MultivariateTestResults writing output... [ 38%] generated/statsmodels.multivariate.multivariate_ols.MultivariateTestResults.summary writing output... [ 38%] generated/statsmodels.multivariate.multivariate_ols.MultivariateTestResults.summary_frame writing output... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLS writing output... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLS.endog_names writing output... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLS.exog_names writing output... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLS.fit writing output... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLS.from_formula writing output... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLS.predict writing output... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLSResults writing output... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLSResults.mv_test writing output... [ 38%] generated/statsmodels.multivariate.multivariate_ols._MultivariateOLSResults.summary writing output... [ 38%] generated/statsmodels.multivariate.pca.PCA writing output... [ 38%] generated/statsmodels.multivariate.pca.PCA.plot_rsquare writing output... [ 38%] generated/statsmodels.multivariate.pca.PCA.plot_scree writing output... [ 38%] generated/statsmodels.multivariate.pca.PCA.project writing output... [ 38%] generated/statsmodels.multivariate.pca.pca writing output... [ 38%] generated/statsmodels.nonparametric.bandwidths.bw_scott writing output... [ 38%] generated/statsmodels.nonparametric.bandwidths.bw_silverman writing output... [ 39%] generated/statsmodels.nonparametric.bandwidths.select_bandwidth writing output... [ 39%] generated/statsmodels.nonparametric.kde.KDEUnivariate writing output... [ 39%] generated/statsmodels.nonparametric.kde.KDEUnivariate.cdf writing output... [ 39%] generated/statsmodels.nonparametric.kde.KDEUnivariate.cumhazard writing output... [ 39%] generated/statsmodels.nonparametric.kde.KDEUnivariate.entropy writing output... [ 39%] generated/statsmodels.nonparametric.kde.KDEUnivariate.evaluate writing output... [ 39%] generated/statsmodels.nonparametric.kde.KDEUnivariate.fit writing output... [ 39%] generated/statsmodels.nonparametric.kde.KDEUnivariate.icdf writing output... [ 39%] generated/statsmodels.nonparametric.kde.KDEUnivariate.sf writing output... [ 39%] generated/statsmodels.nonparametric.kernel_density.EstimatorSettings writing output... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariate writing output... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariate.cdf writing output... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariate.imse writing output... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariate.loo_likelihood writing output... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariate.pdf writing output... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariateConditional writing output... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariateConditional.cdf writing output... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariateConditional.imse writing output... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariateConditional.loo_likelihood writing output... [ 39%] generated/statsmodels.nonparametric.kernel_density.KDEMultivariateConditional.pdf writing output... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelCensoredReg writing output... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelCensoredReg.aic_hurvich writing output... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelCensoredReg.censored writing output... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelCensoredReg.cv_loo writing output... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelCensoredReg.fit writing output... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelCensoredReg.loo_likelihood writing output... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelCensoredReg.r_squared writing output... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelCensoredReg.sig_test writing output... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelReg writing output... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelReg.aic_hurvich writing output... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelReg.cv_loo writing output... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelReg.fit writing output... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelReg.loo_likelihood writing output... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelReg.r_squared writing output... [ 39%] generated/statsmodels.nonparametric.kernel_regression.KernelReg.sig_test writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.cdf_kernel_asym writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_beta writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_beta2 writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_bs writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_gamma writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_gamma2 writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_invgamma writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_invgauss writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_lognorm writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_recipinvgauss writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_cdf_weibull writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_beta writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_beta2 writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_bs writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_gamma writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_gamma2 writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_invgamma writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_invgauss writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_lognorm writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_recipinvgauss writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.kernel_pdf_weibull writing output... [ 39%] generated/statsmodels.nonparametric.kernels_asymmetric.pdf_kernel_asym writing output... [ 39%] generated/statsmodels.nonparametric.smoothers_lowess.lowess writing output... [ 39%] generated/statsmodels.othermod.betareg.BetaModel writing output... [ 39%] generated/statsmodels.othermod.betareg.BetaModel.endog_names writing output... [ 39%] generated/statsmodels.othermod.betareg.BetaModel.exog_names writing output... [ 39%] generated/statsmodels.othermod.betareg.BetaModel.expandparams writing output... [ 39%] generated/statsmodels.othermod.betareg.BetaModel.fit writing output... [ 39%] generated/statsmodels.othermod.betareg.BetaModel.from_formula writing output... [ 39%] generated/statsmodels.othermod.betareg.BetaModel.get_distribution writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.get_distribution_params writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.hessian writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.hessian_factor writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.information writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.initialize writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.loglike writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.loglikeobs writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.nloglike writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.predict writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.reduceparams writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.score writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.score_factor writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.score_hessian_factor writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaModel.score_obs writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.aic writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.bic writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.bootstrap writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.bse writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.bsejac writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.bsejhj writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.conf_int writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.cov_params writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.covjac writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.covjhj writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.df_modelwc writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.f_test writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.fitted_precision writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.fittedvalues writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.get_distribution writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.get_distribution_params writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.get_influence writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.get_nlfun writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.get_prediction writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.hessv writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.initialize writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.llf writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.llnull writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.llr writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.llr_pvalue writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.load writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.normalized_cov_params writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.predict writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.prsquared writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.pseudo_rsquared writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.pvalues writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.remove_data writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.resid writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.resid_pearson writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.save writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.score_obsv writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.set_null_options writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.summary writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.t_test writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.t_test_pairwise writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.tvalues writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.use_t writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.wald_test writing output... [ 40%] generated/statsmodels.othermod.betareg.BetaResults.wald_test_terms writing output... [ 40%] generated/statsmodels.regression.dimred.DimReductionResults writing output... [ 40%] generated/statsmodels.regression.dimred.DimReductionResults.initialize writing output... [ 40%] generated/statsmodels.regression.dimred.DimReductionResults.predict writing output... [ 40%] generated/statsmodels.regression.dimred.DimReductionResults.summary writing output... [ 40%] generated/statsmodels.regression.dimred.PrincipalHessianDirections writing output... [ 40%] generated/statsmodels.regression.dimred.PrincipalHessianDirections.endog_names writing output... [ 41%] generated/statsmodels.regression.dimred.PrincipalHessianDirections.exog_names writing output... [ 41%] generated/statsmodels.regression.dimred.PrincipalHessianDirections.fit writing output... [ 41%] generated/statsmodels.regression.dimred.PrincipalHessianDirections.from_formula writing output... [ 41%] generated/statsmodels.regression.dimred.PrincipalHessianDirections.predict writing output... [ 41%] generated/statsmodels.regression.dimred.SlicedAverageVarianceEstimation writing output... [ 41%] generated/statsmodels.regression.dimred.SlicedAverageVarianceEstimation.endog_names writing output... [ 41%] generated/statsmodels.regression.dimred.SlicedAverageVarianceEstimation.exog_names writing output... [ 41%] generated/statsmodels.regression.dimred.SlicedAverageVarianceEstimation.fit writing output... [ 41%] generated/statsmodels.regression.dimred.SlicedAverageVarianceEstimation.from_formula writing output... [ 41%] generated/statsmodels.regression.dimred.SlicedAverageVarianceEstimation.predict writing output... [ 41%] generated/statsmodels.regression.dimred.SlicedInverseReg writing output... [ 41%] generated/statsmodels.regression.dimred.SlicedInverseReg.endog_names writing output... [ 41%] generated/statsmodels.regression.dimred.SlicedInverseReg.exog_names writing output... [ 41%] generated/statsmodels.regression.dimred.SlicedInverseReg.fit writing output... [ 41%] generated/statsmodels.regression.dimred.SlicedInverseReg.fit_regularized writing output... [ 41%] generated/statsmodels.regression.dimred.SlicedInverseReg.from_formula writing output... [ 41%] generated/statsmodels.regression.dimred.SlicedInverseReg.predict writing output... [ 41%] generated/statsmodels.regression.linear_model.GLS writing output... [ 41%] generated/statsmodels.regression.linear_model.GLS.df_model writing output... [ 41%] generated/statsmodels.regression.linear_model.GLS.df_resid writing output... [ 41%] generated/statsmodels.regression.linear_model.GLS.endog_names writing output... [ 41%] generated/statsmodels.regression.linear_model.GLS.exog_names writing output... [ 41%] generated/statsmodels.regression.linear_model.GLS.fit writing output... [ 41%] generated/statsmodels.regression.linear_model.GLS.fit_regularized writing output... [ 41%] generated/statsmodels.regression.linear_model.GLS.from_formula writing output... [ 41%] generated/statsmodels.regression.linear_model.GLS.get_distribution writing output... [ 41%] generated/statsmodels.regression.linear_model.GLS.hessian writing output... [ 41%] generated/statsmodels.regression.linear_model.GLS.hessian_factor writing output... [ 41%] generated/statsmodels.regression.linear_model.GLS.information writing output... [ 41%] generated/statsmodels.regression.linear_model.GLS.initialize writing output... [ 41%] generated/statsmodels.regression.linear_model.GLS.loglike writing output... [ 41%] generated/statsmodels.regression.linear_model.GLS.predict writing output... [ 41%] generated/statsmodels.regression.linear_model.GLS.score writing output... [ 41%] generated/statsmodels.regression.linear_model.GLS.whiten writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.df_model writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.df_resid writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.endog_names writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.exog_names writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.fit writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.fit_regularized writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.from_formula writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.get_distribution writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.hessian writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.hessian_factor writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.information writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.initialize writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.iterative_fit writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.loglike writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.predict writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.score writing output... [ 41%] generated/statsmodels.regression.linear_model.GLSAR.whiten writing output... [ 41%] generated/statsmodels.regression.linear_model.OLS writing output... [ 41%] generated/statsmodels.regression.linear_model.OLS.df_model writing output... [ 41%] generated/statsmodels.regression.linear_model.OLS.df_resid writing output... [ 41%] generated/statsmodels.regression.linear_model.OLS.endog_names writing output... [ 41%] generated/statsmodels.regression.linear_model.OLS.exog_names writing output... [ 41%] generated/statsmodels.regression.linear_model.OLS.fit writing output... [ 41%] generated/statsmodels.regression.linear_model.OLS.fit_regularized writing output... [ 41%] generated/statsmodels.regression.linear_model.OLS.from_formula writing output... [ 41%] generated/statsmodels.regression.linear_model.OLS.get_distribution writing output... [ 41%] generated/statsmodels.regression.linear_model.OLS.hessian writing output... [ 41%] generated/statsmodels.regression.linear_model.OLS.hessian_factor writing output... [ 41%] generated/statsmodels.regression.linear_model.OLS.information writing output... [ 42%] generated/statsmodels.regression.linear_model.OLS.initialize writing output... [ 42%] generated/statsmodels.regression.linear_model.OLS.loglike writing output... [ 42%] generated/statsmodels.regression.linear_model.OLS.predict writing output... [ 42%] generated/statsmodels.regression.linear_model.OLS.score writing output... [ 42%] generated/statsmodels.regression.linear_model.OLS.whiten writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.HC0_se writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.HC1_se writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.HC2_se writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.HC3_se writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.aic writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.bic writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.bse writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.centered_tss writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.compare_f_test writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.compare_lm_test writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.compare_lr_test writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.condition_number writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.conf_int writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.conf_int_el writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.cov_HC0 writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.cov_HC1 writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.cov_HC2 writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.cov_HC3 writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.cov_params writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.eigenvals writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.el_test writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.ess writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.f_pvalue writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.f_test writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.fittedvalues writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.fvalue writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.get_influence writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.get_prediction writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.get_robustcov_results writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.info_criteria writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.initialize writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.llf writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.load writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.mse_model writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.mse_resid writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.mse_total writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.nobs writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.normalized_cov_params writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.outlier_test writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.predict writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.pvalues writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.remove_data writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.resid writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.resid_pearson writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.rsquared writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.rsquared_adj writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.save writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.scale writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.ssr writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.summary writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.summary2 writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.t_test writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.t_test_pairwise writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.tvalues writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.uncentered_tss writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.use_t writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.wald_test writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.wald_test_terms writing output... [ 42%] generated/statsmodels.regression.linear_model.OLSResults.wresid writing output... [ 43%] generated/statsmodels.regression.linear_model.PredictionResults writing output... [ 43%] generated/statsmodels.regression.linear_model.PredictionResults.conf_int writing output... [ 43%] generated/statsmodels.regression.linear_model.PredictionResults.predicted_mean writing output... [ 43%] generated/statsmodels.regression.linear_model.PredictionResults.se writing output... [ 43%] generated/statsmodels.regression.linear_model.PredictionResults.se_mean writing output... [ 43%] generated/statsmodels.regression.linear_model.PredictionResults.se_obs writing output... [ 43%] generated/statsmodels.regression.linear_model.PredictionResults.summary_frame writing output... [ 43%] generated/statsmodels.regression.linear_model.PredictionResults.var_pred_mean writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.HC0_se writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.HC1_se writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.HC2_se writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.HC3_se writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.aic writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.bic writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.bse writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.centered_tss writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.compare_f_test writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.compare_lm_test writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.compare_lr_test writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.condition_number writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.conf_int writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.cov_HC0 writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.cov_HC1 writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.cov_HC2 writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.cov_HC3 writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.cov_params writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.eigenvals writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.ess writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.f_pvalue writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.f_test writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.fittedvalues writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.fvalue writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.get_prediction writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.get_robustcov_results writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.info_criteria writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.initialize writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.llf writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.load writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.mse_model writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.mse_resid writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.mse_total writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.nobs writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.normalized_cov_params writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.predict writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.pvalues writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.remove_data writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.resid writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.resid_pearson writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.rsquared writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.rsquared_adj writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.save writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.scale writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.ssr writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.summary writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.summary2 writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.t_test writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.t_test_pairwise writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.tvalues writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.uncentered_tss writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.use_t writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.wald_test writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.wald_test_terms writing output... [ 43%] generated/statsmodels.regression.linear_model.RegressionResults.wresid writing output... [ 43%] generated/statsmodels.regression.linear_model.WLS writing output... [ 44%] generated/statsmodels.regression.linear_model.WLS.df_model writing output... [ 44%] generated/statsmodels.regression.linear_model.WLS.df_resid writing output... [ 44%] generated/statsmodels.regression.linear_model.WLS.endog_names writing output... [ 44%] generated/statsmodels.regression.linear_model.WLS.exog_names writing output... [ 44%] generated/statsmodels.regression.linear_model.WLS.fit writing output... [ 44%] generated/statsmodels.regression.linear_model.WLS.fit_regularized writing output... [ 44%] generated/statsmodels.regression.linear_model.WLS.from_formula writing output... [ 44%] generated/statsmodels.regression.linear_model.WLS.get_distribution writing output... [ 44%] generated/statsmodels.regression.linear_model.WLS.hessian writing output... [ 44%] generated/statsmodels.regression.linear_model.WLS.hessian_factor writing output... [ 44%] generated/statsmodels.regression.linear_model.WLS.information writing output... [ 44%] generated/statsmodels.regression.linear_model.WLS.initialize writing output... [ 44%] generated/statsmodels.regression.linear_model.WLS.loglike writing output... [ 44%] generated/statsmodels.regression.linear_model.WLS.predict writing output... [ 44%] generated/statsmodels.regression.linear_model.WLS.score writing output... [ 44%] generated/statsmodels.regression.linear_model.WLS.whiten writing output... [ 44%] generated/statsmodels.regression.linear_model.burg writing output... [ 44%] generated/statsmodels.regression.linear_model.yule_walker writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.endog_names writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.exog_names writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.fit writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.fit_regularized writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.from_formula writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.get_distribution writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.get_fe_params writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.get_scale writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.group_list writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.hessian writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.information writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.initialize writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.loglike writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.predict writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.score writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.score_full writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLM.score_sqrt writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.aic writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.bic writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.bootstrap writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.bse writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.bse_fe writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.bse_re writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.bsejac writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.bsejhj writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.conf_int writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.cov_params writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.covjac writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.covjhj writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.df_modelwc writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.f_test writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.fittedvalues writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.get_nlfun writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.hessv writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.initialize writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.llf writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.load writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.normalized_cov_params writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.predict writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.profile_re writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.pvalues writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.random_effects writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.random_effects_cov writing output... [ 44%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.remove_data writing output... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.resid writing output... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.save writing output... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.score_obsv writing output... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.summary writing output... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.t_test writing output... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.t_test_pairwise writing output... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.tvalues writing output... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.use_t writing output... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.wald_test writing output... [ 45%] generated/statsmodels.regression.mixed_linear_model.MixedLMResults.wald_test_terms writing output... [ 45%] generated/statsmodels.regression.process_regression.GaussianCovariance writing output... [ 45%] generated/statsmodels.regression.process_regression.GaussianCovariance.get_cov writing output... [ 45%] generated/statsmodels.regression.process_regression.GaussianCovariance.jac writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.covariance writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.endog_names writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.exog_names writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.fit writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.from_formula writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.hessian writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.information writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.initialize writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.loglike writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.predict writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.score writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLE.unpack writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.aic writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.bic writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.bootstrap writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.bse writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.bsejac writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.bsejhj writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.conf_int writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.cov_params writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.covariance writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.covariance_group writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.covjac writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.covjhj writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.df_modelwc writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.f_test writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.get_nlfun writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.get_prediction writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.hessv writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.initialize writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.llf writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.load writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.normalized_cov_params writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.predict writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.pvalues writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.remove_data writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.save writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.score_obsv writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.summary writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.t_test writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.t_test_pairwise writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.tvalues writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.use_t writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.wald_test writing output... [ 45%] generated/statsmodels.regression.process_regression.ProcessMLEResults.wald_test_terms writing output... [ 45%] generated/statsmodels.regression.quantile_regression.QuantReg writing output... [ 45%] generated/statsmodels.regression.quantile_regression.QuantReg.df_model writing output... [ 45%] generated/statsmodels.regression.quantile_regression.QuantReg.df_resid writing output... [ 45%] generated/statsmodels.regression.quantile_regression.QuantReg.endog_names writing output... [ 45%] generated/statsmodels.regression.quantile_regression.QuantReg.exog_names writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.fit writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.from_formula writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.get_distribution writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.hessian writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.information writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.initialize writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.loglike writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.predict writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.score writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantReg.whiten writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.HC0_se writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.HC1_se writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.HC2_se writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.HC3_se writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.aic writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.bic writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.bse writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.centered_tss writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.compare_f_test writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.compare_lm_test writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.compare_lr_test writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.condition_number writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.conf_int writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.cov_HC0 writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.cov_HC1 writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.cov_HC2 writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.cov_HC3 writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.cov_params writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.eigenvals writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.ess writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.f_pvalue writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.f_test writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.fittedvalues writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.fvalue writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.get_prediction writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.get_robustcov_results writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.info_criteria writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.initialize writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.llf writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.load writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.mse writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.mse_model writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.mse_resid writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.mse_total writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.nobs writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.normalized_cov_params writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.predict writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.prsquared writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.pvalues writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.remove_data writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.resid writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.resid_pearson writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.rsquared writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.rsquared_adj writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.save writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.scale writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.ssr writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.summary writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.summary2 writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.t_test writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.t_test_pairwise writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.tvalues writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.uncentered_tss writing output... [ 46%] generated/statsmodels.regression.quantile_regression.QuantRegResults.use_t writing output... [ 47%] generated/statsmodels.regression.quantile_regression.QuantRegResults.wald_test writing output... [ 47%] generated/statsmodels.regression.quantile_regression.QuantRegResults.wald_test_terms writing output... [ 47%] generated/statsmodels.regression.quantile_regression.QuantRegResults.wresid writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.clone writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.endog_names writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.exog_names writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.filter writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.fit writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.fit_constrained writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.fix_params writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.from_formula writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.handle_params writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.hessian writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.impulse_responses writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.information writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.initial_variance writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.initialization writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.initialize writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.initialize_approximate_diffuse writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.initialize_known writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.initialize_statespace writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.initialize_stationary writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.loglike writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.loglikelihood_burn writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.loglikeobs writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.observed_information_matrix writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.opg_information_matrix writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.param_names writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.predict writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.prepare_data writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.score writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.score_obs writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.set_conserve_memory writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.set_filter_method writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.set_inversion_method writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.set_smoother_output writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.set_stability_method writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.simulate writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.simulation_smoother writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.smooth writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.start_params writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.state_names writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.tolerance writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.transform_jacobian writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.transform_params writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.untransform_params writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLS.update writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.aic writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.aicc writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.append writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.apply writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.bic writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.bse writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.centered_tss writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.conf_int writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cov_params writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cov_params_approx writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cov_params_oim writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cov_params_opg writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cov_params_robust writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cov_params_robust_approx writing output... [ 47%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cov_params_robust_oim writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cusum writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.cusum_squares writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.ess writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.extend writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.f_test writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.fittedvalues writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.forecast writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.get_forecast writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.get_prediction writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.get_smoothed_decomposition writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.hqic writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.impulse_responses writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.info_criteria writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.initialize writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.llf writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.llf_obs writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.llf_recursive writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.llf_recursive_obs writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.load writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.loglikelihood_burn writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.mae writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.mse writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.mse_model writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.mse_resid writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.mse_total writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.news writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.normalized_cov_params writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.plot_cusum writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.plot_cusum_squares writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.plot_diagnostics writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.plot_recursive_coefficient writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.predict writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.pvalues writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.recursive_coefficients writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.remove_data writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.resid writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.resid_recursive writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.rsquared writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.save writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.simulate writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.sse writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.ssr writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.states writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.summary writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.t_test writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.t_test_pairwise writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.test_heteroskedasticity writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.test_normality writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.test_serial_correlation writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.tvalues writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.uncentered_tss writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.use_t writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.wald_test writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.wald_test_terms writing output... [ 48%] generated/statsmodels.regression.recursive_ls.RecursiveLSResults.zvalues writing output... [ 48%] generated/statsmodels.regression.rolling.RollingOLS writing output... [ 48%] generated/statsmodels.regression.rolling.RollingOLS.fit writing output... [ 48%] generated/statsmodels.regression.rolling.RollingOLS.from_formula writing output... [ 48%] generated/statsmodels.regression.rolling.RollingRegressionResults writing output... [ 48%] generated/statsmodels.regression.rolling.RollingRegressionResults.aic writing output... [ 48%] generated/statsmodels.regression.rolling.RollingRegressionResults.bic writing output... [ 48%] generated/statsmodels.regression.rolling.RollingRegressionResults.bse writing output... [ 48%] generated/statsmodels.regression.rolling.RollingRegressionResults.centered_tss writing output... [ 48%] generated/statsmodels.regression.rolling.RollingRegressionResults.conf_int writing output... [ 48%] generated/statsmodels.regression.rolling.RollingRegressionResults.cov_params writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.cov_type writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.df_model writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.df_resid writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.ess writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.f_pvalue writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.fvalue writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.info_criteria writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.k_constant writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.llf writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.load writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.mse_model writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.mse_resid writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.mse_total writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.nobs writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.params writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.plot_recursive_coefficient writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.pvalues writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.remove_data writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.rsquared writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.rsquared_adj writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.save writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.ssr writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.tvalues writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.uncentered_tss writing output... [ 49%] generated/statsmodels.regression.rolling.RollingRegressionResults.use_t writing output... [ 49%] generated/statsmodels.regression.rolling.RollingWLS writing output... [ 49%] generated/statsmodels.regression.rolling.RollingWLS.fit writing output... [ 49%] generated/statsmodels.regression.rolling.RollingWLS.from_formula writing output... [ 49%] generated/statsmodels.robust.norms.AndrewWave writing output... [ 49%] generated/statsmodels.robust.norms.AndrewWave.psi writing output... [ 49%] generated/statsmodels.robust.norms.AndrewWave.psi_deriv writing output... [ 49%] generated/statsmodels.robust.norms.AndrewWave.rho writing output... [ 49%] generated/statsmodels.robust.norms.AndrewWave.weights writing output... [ 49%] generated/statsmodels.robust.norms.Hampel writing output... [ 49%] generated/statsmodels.robust.norms.Hampel.psi writing output... [ 49%] generated/statsmodels.robust.norms.Hampel.psi_deriv writing output... [ 49%] generated/statsmodels.robust.norms.Hampel.rho writing output... [ 49%] generated/statsmodels.robust.norms.Hampel.weights writing output... [ 49%] generated/statsmodels.robust.norms.HuberT writing output... [ 49%] generated/statsmodels.robust.norms.HuberT.psi writing output... [ 49%] generated/statsmodels.robust.norms.HuberT.psi_deriv writing output... [ 49%] generated/statsmodels.robust.norms.HuberT.rho writing output... [ 49%] generated/statsmodels.robust.norms.HuberT.weights writing output... [ 49%] generated/statsmodels.robust.norms.LeastSquares writing output... [ 49%] generated/statsmodels.robust.norms.LeastSquares.psi writing output... [ 49%] generated/statsmodels.robust.norms.LeastSquares.psi_deriv writing output... [ 49%] generated/statsmodels.robust.norms.LeastSquares.rho writing output... [ 49%] generated/statsmodels.robust.norms.LeastSquares.weights writing output... [ 49%] generated/statsmodels.robust.norms.MQuantileNorm writing output... [ 49%] generated/statsmodels.robust.norms.MQuantileNorm.psi writing output... [ 49%] generated/statsmodels.robust.norms.MQuantileNorm.psi_deriv writing output... [ 49%] generated/statsmodels.robust.norms.MQuantileNorm.rho writing output... [ 49%] generated/statsmodels.robust.norms.MQuantileNorm.weights writing output... [ 49%] generated/statsmodels.robust.norms.RamsayE writing output... [ 49%] generated/statsmodels.robust.norms.RamsayE.psi writing output... [ 49%] generated/statsmodels.robust.norms.RamsayE.psi_deriv writing output... [ 49%] generated/statsmodels.robust.norms.RamsayE.rho writing output... [ 49%] generated/statsmodels.robust.norms.RamsayE.weights writing output... [ 49%] generated/statsmodels.robust.norms.RobustNorm writing output... [ 49%] generated/statsmodels.robust.norms.RobustNorm.psi writing output... [ 49%] generated/statsmodels.robust.norms.RobustNorm.psi_deriv writing output... [ 49%] generated/statsmodels.robust.norms.RobustNorm.rho writing output... [ 49%] generated/statsmodels.robust.norms.RobustNorm.weights writing output... [ 49%] generated/statsmodels.robust.norms.TrimmedMean writing output... [ 49%] generated/statsmodels.robust.norms.TrimmedMean.psi writing output... [ 50%] generated/statsmodels.robust.norms.TrimmedMean.psi_deriv writing output... [ 50%] generated/statsmodels.robust.norms.TrimmedMean.rho writing output... [ 50%] generated/statsmodels.robust.norms.TrimmedMean.weights writing output... [ 50%] generated/statsmodels.robust.norms.TukeyBiweight writing output... [ 50%] generated/statsmodels.robust.norms.TukeyBiweight.psi writing output... [ 50%] generated/statsmodels.robust.norms.TukeyBiweight.psi_deriv writing output... [ 50%] generated/statsmodels.robust.norms.TukeyBiweight.rho writing output... [ 50%] generated/statsmodels.robust.norms.TukeyBiweight.weights writing output... [ 50%] generated/statsmodels.robust.norms.estimate_location writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.deviance writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.endog_names writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.exog_names writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.fit writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.from_formula writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.hessian writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.information writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.initialize writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.loglike writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.predict writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLM.score writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.bcov_scaled writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.bcov_unscaled writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.bse writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.chisq writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.conf_int writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.cov_params writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.f_test writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.fittedvalues writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.initialize writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.llf writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.load writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.normalized_cov_params writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.predict writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.pvalues writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.remove_data writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.resid writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.save writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.sresid writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.summary writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.summary2 writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.t_test writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.t_test_pairwise writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.tvalues writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.use_t writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.wald_test writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.wald_test_terms writing output... [ 50%] generated/statsmodels.robust.robust_linear_model.RLMResults.weights writing output... [ 50%] generated/statsmodels.robust.scale.Huber writing output... [ 50%] generated/statsmodels.robust.scale.HuberScale writing output... [ 50%] generated/statsmodels.robust.scale.hubers_scale writing output... [ 50%] generated/statsmodels.robust.scale.iqr writing output... [ 50%] generated/statsmodels.robust.scale.mad writing output... [ 50%] generated/statsmodels.robust.scale.qn_scale writing output... [ 50%] generated/statsmodels.sandbox.descstats.descstats writing output... [ 50%] generated/statsmodels.sandbox.descstats.sign_test writing output... [ 50%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen writing output... [ 50%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.cdf writing output... [ 50%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.entropy writing output... [ 50%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.expect writing output... [ 50%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.fit writing output... [ 50%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.fit_loc_scale writing output... [ 50%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.freeze writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.interval writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.isf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.logcdf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.logpdf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.logsf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.mean writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.median writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.moment writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.nnlf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.pdf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.ppf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.random_state writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.rvs writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.sf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.stats writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.std writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.support writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.ACSkewT_gen.var writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.cdf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.entropy writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.expect writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.fit writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.fit_loc_scale writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.freeze writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.interval writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.isf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.logcdf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.logpdf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.logsf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.mean writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.median writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.moment writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.nnlf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.pdf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.ppf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.random_state writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.rvs writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.sf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.stats writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.std writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.support writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.NormExpan_gen.var writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.cdf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.entropy writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.expect writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.fit writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.fit_loc_scale writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.freeze writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.interval writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.isf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.logcdf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.logpdf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.logsf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.mean writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.median writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.moment writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.nnlf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.pdf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.ppf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.random_state writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.rvs writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.sf writing output... [ 51%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.stats writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.std writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.support writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm2_gen.var writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.cdf writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.entropy writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.expect writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.fit writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.fit_loc_scale writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.freeze writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.interval writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.isf writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.logcdf writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.logpdf writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.logsf writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.mean writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.median writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.moment writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.nnlf writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.pdf writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.ppf writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.random_state writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.rvs writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.sf writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.stats writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.std writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.support writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.SkewNorm_gen.var writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.mvnormcdf writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.mvstdnormcdf writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.pdf_moments writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.pdf_moments_st writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.pdf_mvsk writing output... [ 52%] generated/statsmodels.sandbox.distributions.extras.skewnorm2 writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.cdf writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.entropy writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.expect writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.fit writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.fit_loc_scale writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.freeze writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.interval writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.isf writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.logcdf writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.logpdf writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.logsf writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.mean writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.median writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.moment writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.nnlf writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.pdf writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.ppf writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.random_state writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.rvs writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.sf writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.stats writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.std writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.support writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.ExpTransf_gen.var writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.cdf writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.entropy writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.expect writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.fit writing output... [ 52%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.fit_loc_scale writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.freeze writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.interval writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.isf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.logcdf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.logpdf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.logsf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.mean writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.median writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.moment writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.nnlf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.pdf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.ppf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.random_state writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.rvs writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.sf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.stats writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.std writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.support writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.LogTransf_gen.var writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.SquareFunc writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.SquareFunc.derivminus writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.SquareFunc.derivplus writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.SquareFunc.inverseminus writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.SquareFunc.inverseplus writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.SquareFunc.squarefunc writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.cdf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.entropy writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.expect writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.fit writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.fit_loc_scale writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.freeze writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.interval writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.isf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.logcdf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.logpdf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.logsf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.mean writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.median writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.moment writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.nnlf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.pdf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.ppf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.random_state writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.rvs writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.sf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.stats writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.std writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.support writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.TransfTwo_gen.var writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.cdf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.entropy writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.expect writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.fit writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.fit_loc_scale writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.freeze writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.interval writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.isf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.logcdf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.logpdf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.logsf writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.mean writing output... [ 53%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.median writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.moment writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.nnlf writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.pdf writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.ppf writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.random_state writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.rvs writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.sf writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.stats writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.std writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.support writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.Transf_gen.var writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.absnormalg writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.invdnormalg writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.loggammaexpg writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.lognormalg writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.negsquarenormalg writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.squarenormalg writing output... [ 54%] generated/statsmodels.sandbox.distributions.transformed.squaretg writing output... [ 54%] generated/statsmodels.sandbox.regression.anova_nistcertified.anova_ols writing output... [ 54%] generated/statsmodels.sandbox.regression.anova_nistcertified.anova_oneway writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.calc_weightmatrix writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.endog_names writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.exog_names writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.fit writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.fitgmm writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.fitgmm_cu writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.fititer writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.from_formula writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.gmmobjective writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.gmmobjective_cu writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.gradient_momcond writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.momcond_mean writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.predict writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.results_class writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.score writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.score_cu writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.set_param_names writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMM.start_weights writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.bse writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.bse_ writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.calc_cov_params writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.compare_j writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.conf_int writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.cov_params writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.f_test writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.get_bse writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.initialize writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.jtest writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.jval writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.llf writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.load writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.normalized_cov_params writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.predict writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.pvalues writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.q writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.remove_data writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.save writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.summary writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.t_test writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.t_test_pairwise writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.tvalues writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.use_t writing output... [ 54%] generated/statsmodels.sandbox.regression.gmm.GMMResults.wald_test writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.GMMResults.wald_test_terms writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.endog_names writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.exog_names writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.fit writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.from_formula writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.hessian writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.information writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.initialize writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.loglike writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.predict writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.score writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IV2SLS.whiten writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.calc_weightmatrix writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.endog_names writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.exog_names writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.fit writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.fitgmm writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.fitgmm_cu writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.fititer writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.fitstart writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.from_formula writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.get_error writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.gmmobjective writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.gmmobjective_cu writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.gradient_momcond writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.momcond writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.momcond_mean writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.predict writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.results_class writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.score writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.score_cu writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.set_param_names writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMM.start_weights writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.bse writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.bse_ writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.calc_cov_params writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.compare_j writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.conf_int writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.cov_params writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.f_test writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.fittedvalues writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.get_bse writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.initialize writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.jtest writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.jval writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.llf writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.load writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.normalized_cov_params writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.predict writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.pvalues writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.q writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.remove_data writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.resid writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.save writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.ssr writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.summary writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.t_test writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.t_test_pairwise writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.tvalues writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.use_t writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.wald_test writing output... [ 55%] generated/statsmodels.sandbox.regression.gmm.IVGMMResults.wald_test_terms writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.HC0_se writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.HC1_se writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.HC2_se writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.HC3_se writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.aic writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.bic writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.bse writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.centered_tss writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.compare_f_test writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.compare_lm_test writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.compare_lr_test writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.condition_number writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.conf_int writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.cov_HC0 writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.cov_HC1 writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.cov_HC2 writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.cov_HC3 writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.cov_params writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.eigenvals writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.ess writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.f_pvalue writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.f_test writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.fittedvalues writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.fvalue writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.get_prediction writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.get_robustcov_results writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.info_criteria writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.initialize writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.llf writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.load writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.mse_model writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.mse_resid writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.mse_total writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.nobs writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.normalized_cov_params writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.predict writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.pvalues writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.remove_data writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.resid writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.resid_pearson writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.rsquared writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.rsquared_adj writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.save writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.scale writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.spec_hausman writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.ssr writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.summary writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.summary2 writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.t_test writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.t_test_pairwise writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.tvalues writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.uncentered_tss writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.use_t writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.wald_test writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.wald_test_terms writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.wresid writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.calc_weightmatrix writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.endog_names writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.exog_names writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.fit writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.fitgmm writing output... [ 56%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.fitgmm_cu writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.fititer writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.fitstart writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.from_formula writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.get_error writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.gmmobjective writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.gmmobjective_cu writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.gradient_momcond writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.momcond writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.momcond_mean writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.predict writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.results_class writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.score writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.score_cu writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.set_param_names writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.LinearIVGMM.start_weights writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.calc_weightmatrix writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.endog_names writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.exog_names writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.fit writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.fitgmm writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.fitgmm_cu writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.fititer writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.fitstart writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.from_formula writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.get_error writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.gmmobjective writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.gmmobjective_cu writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.gradient_momcond writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.jac_error writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.jac_func writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.momcond writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.momcond_mean writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.predict writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.results_class writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.score writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.score_cu writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.set_param_names writing output... [ 57%] generated/statsmodels.sandbox.regression.gmm.NonlinearIVGMM.start_weights writing output... [ 57%] generated/statsmodels.sandbox.regression.try_catdata.cat2dummy writing output... [ 57%] generated/statsmodels.sandbox.regression.try_catdata.convertlabels writing output... [ 57%] generated/statsmodels.sandbox.regression.try_catdata.groupsstats_1d writing output... [ 57%] generated/statsmodels.sandbox.regression.try_catdata.groupsstats_dummy writing output... [ 57%] generated/statsmodels.sandbox.regression.try_catdata.groupstatsbin writing output... [ 57%] generated/statsmodels.sandbox.regression.try_catdata.labelmeanfilter writing output... [ 57%] generated/statsmodels.sandbox.regression.try_catdata.labelmeanfilter_nd writing output... [ 57%] generated/statsmodels.sandbox.regression.try_catdata.labelmeanfilter_str writing output... [ 57%] generated/statsmodels.sandbox.regression.try_ols_anova.data2dummy writing output... [ 57%] generated/statsmodels.sandbox.regression.try_ols_anova.data2groupcont writing output... [ 57%] generated/statsmodels.sandbox.regression.try_ols_anova.data2proddummy writing output... [ 57%] generated/statsmodels.sandbox.regression.try_ols_anova.dropname writing output... [ 57%] generated/statsmodels.sandbox.regression.try_ols_anova.form2design writing output... [ 57%] generated/statsmodels.sandbox.stats.multicomp.GroupsStats writing output... [ 57%] generated/statsmodels.sandbox.stats.multicomp.GroupsStats.groupdemean writing output... [ 57%] generated/statsmodels.sandbox.stats.multicomp.GroupsStats.groupsswithin writing output... [ 57%] generated/statsmodels.sandbox.stats.multicomp.GroupsStats.groupvarwithin writing output... [ 57%] generated/statsmodels.sandbox.stats.multicomp.GroupsStats.runbasic writing output... [ 57%] generated/statsmodels.sandbox.stats.multicomp.GroupsStats.runbasic_old writing output... [ 57%] generated/statsmodels.sandbox.stats.multicomp.MultiComparison writing output... [ 57%] generated/statsmodels.sandbox.stats.multicomp.MultiComparison.allpairtest writing output... [ 57%] generated/statsmodels.sandbox.stats.multicomp.MultiComparison.getranks writing output... [ 57%] generated/statsmodels.sandbox.stats.multicomp.MultiComparison.kruskal writing output... [ 57%] generated/statsmodels.sandbox.stats.multicomp.MultiComparison.tukeyhsd writing output... [ 57%] generated/statsmodels.sandbox.stats.multicomp.StepDown writing output... [ 57%] generated/statsmodels.sandbox.stats.multicomp.StepDown.check_set writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.StepDown.get_crit writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.StepDown.get_distance_matrix writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.StepDown.iter_subsets writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.StepDown.run writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.StepDown.stepdown writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.TukeyHSDResults writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.TukeyHSDResults.plot_simultaneous writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.TukeyHSDResults.summary writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.catstack writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.ccols writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.compare_ordered writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.distance_st_range writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.ecdf writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.get_tukeyQcrit writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.homogeneous_subsets writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.maxzero writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.maxzerodown writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.mcfdr writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.qcrit writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.randmvn writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.rankdata writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.rejectionline writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.set_partition writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.set_remove_subs writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.tiecorrect writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.varcorrection_pairs_unbalanced writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.varcorrection_pairs_unequal writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.varcorrection_unbalanced writing output... [ 58%] generated/statsmodels.sandbox.stats.multicomp.varcorrection_unequal writing output... [ 58%] generated/statsmodels.sandbox.stats.runs.Runs writing output... [ 58%] generated/statsmodels.sandbox.stats.runs.Runs.runs_test writing output... [ 58%] generated/statsmodels.sandbox.stats.runs.cochrans_q writing output... [ 58%] generated/statsmodels.sandbox.stats.runs.mcnemar writing output... [ 58%] generated/statsmodels.sandbox.stats.runs.median_test_ksample writing output... [ 58%] generated/statsmodels.sandbox.stats.runs.runstest_1samp writing output... [ 58%] generated/statsmodels.sandbox.stats.runs.runstest_2samp writing output... [ 58%] generated/statsmodels.sandbox.stats.runs.symmetry_bowker writing output... [ 58%] generated/statsmodels.sandbox.sysreg.SUR writing output... [ 58%] generated/statsmodels.sandbox.sysreg.SUR.fit writing output... [ 58%] generated/statsmodels.sandbox.sysreg.SUR.initialize writing output... [ 58%] generated/statsmodels.sandbox.sysreg.SUR.predict writing output... [ 58%] generated/statsmodels.sandbox.sysreg.SUR.whiten writing output... [ 58%] generated/statsmodels.sandbox.sysreg.Sem2SLS writing output... [ 58%] generated/statsmodels.sandbox.sysreg.Sem2SLS.fit writing output... [ 58%] generated/statsmodels.sandbox.sysreg.Sem2SLS.whiten writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.acf writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.acf2spdfreq writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.acovf writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.arma2ar writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.arma2ma writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.arroots writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.fftar writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.fftarma writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.fftma writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.filter writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.filter2 writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.from_coeffs writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.from_estimation writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.from_roots writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.generate_sample writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.impulse_response writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.invertroots writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.invpowerspd writing output... [ 58%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.isinvertible writing output... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.isstationary writing output... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.maroots writing output... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.pacf writing output... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.pad writing output... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.padarr writing output... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.periodogram writing output... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.plot4 writing output... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.spd writing output... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.spddirect writing output... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.spdmapoly writing output... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.spdpoly writing output... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.spdroots writing output... [ 59%] generated/statsmodels.sandbox.tsa.fftarma.ArmaFft.spdshift writing output... [ 59%] generated/statsmodels.sandbox.tsa.movstat.movmean writing output... [ 59%] generated/statsmodels.sandbox.tsa.movstat.movmoment writing output... [ 59%] generated/statsmodels.sandbox.tsa.movstat.movorder writing output... [ 59%] generated/statsmodels.sandbox.tsa.movstat.movvar writing output... [ 59%] generated/statsmodels.stats.anova.AnovaRM writing output... [ 59%] generated/statsmodels.stats.anova.AnovaRM.fit writing output... [ 59%] generated/statsmodels.stats.anova.anova_lm writing output... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable writing output... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.chi2_contribs writing output... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.cumulative_log_oddsratios writing output... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.cumulative_oddsratios writing output... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.fittedvalues writing output... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.from_data writing output... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.homogeneity writing output... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.independence_probabilities writing output... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.local_log_oddsratios writing output... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.local_oddsratios writing output... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.marginal_probabilities writing output... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.resid_pearson writing output... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.standardized_resids writing output... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.summary writing output... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.symmetry writing output... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.test_nominal_association writing output... [ 59%] generated/statsmodels.stats.contingency_tables.SquareTable.test_ordinal_association writing output... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable writing output... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.from_data writing output... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.logodds_pooled writing output... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.logodds_pooled_confint writing output... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.logodds_pooled_se writing output... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.oddsratio_pooled writing output... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.oddsratio_pooled_confint writing output... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.riskratio_pooled writing output... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.summary writing output... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.test_equal_odds writing output... [ 59%] generated/statsmodels.stats.contingency_tables.StratifiedTable.test_null_odds writing output... [ 59%] generated/statsmodels.stats.contingency_tables.Table writing output... [ 59%] generated/statsmodels.stats.contingency_tables.Table.chi2_contribs writing output... [ 59%] generated/statsmodels.stats.contingency_tables.Table.cumulative_log_oddsratios writing output... [ 59%] generated/statsmodels.stats.contingency_tables.Table.cumulative_oddsratios writing output... [ 59%] generated/statsmodels.stats.contingency_tables.Table.fittedvalues writing output... [ 59%] generated/statsmodels.stats.contingency_tables.Table.from_data writing output... [ 59%] generated/statsmodels.stats.contingency_tables.Table.independence_probabilities writing output... [ 59%] generated/statsmodels.stats.contingency_tables.Table.local_log_oddsratios writing output... [ 59%] generated/statsmodels.stats.contingency_tables.Table.local_oddsratios writing output... [ 59%] generated/statsmodels.stats.contingency_tables.Table.marginal_probabilities writing output... [ 59%] generated/statsmodels.stats.contingency_tables.Table.resid_pearson writing output... [ 59%] generated/statsmodels.stats.contingency_tables.Table.standardized_resids writing output... [ 59%] generated/statsmodels.stats.contingency_tables.Table.test_nominal_association writing output... [ 59%] generated/statsmodels.stats.contingency_tables.Table.test_ordinal_association writing output... [ 59%] generated/statsmodels.stats.contingency_tables.Table2x2 writing output... [ 59%] generated/statsmodels.stats.contingency_tables.Table2x2.chi2_contribs writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.cumulative_log_oddsratios writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.cumulative_oddsratios writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.fittedvalues writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.from_data writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.homogeneity writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.independence_probabilities writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.local_log_oddsratios writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.local_oddsratios writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.log_oddsratio writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.log_oddsratio_confint writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.log_oddsratio_pvalue writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.log_oddsratio_se writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.log_riskratio writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.log_riskratio_confint writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.log_riskratio_pvalue writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.log_riskratio_se writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.marginal_probabilities writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.oddsratio writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.oddsratio_confint writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.oddsratio_pvalue writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.resid_pearson writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.riskratio writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.riskratio_confint writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.riskratio_pvalue writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.standardized_resids writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.summary writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.symmetry writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.test_nominal_association writing output... [ 60%] generated/statsmodels.stats.contingency_tables.Table2x2.test_ordinal_association writing output... [ 60%] generated/statsmodels.stats.contingency_tables.cochrans_q writing output... [ 60%] generated/statsmodels.stats.contingency_tables.mcnemar writing output... [ 60%] generated/statsmodels.stats.correlation_tools.FactoredPSDMatrix writing output... [ 60%] generated/statsmodels.stats.correlation_tools.FactoredPSDMatrix.decorrelate writing output... [ 60%] generated/statsmodels.stats.correlation_tools.FactoredPSDMatrix.logdet writing output... [ 60%] generated/statsmodels.stats.correlation_tools.FactoredPSDMatrix.solve writing output... [ 60%] generated/statsmodels.stats.correlation_tools.FactoredPSDMatrix.to_matrix writing output... [ 60%] generated/statsmodels.stats.correlation_tools.corr_clipped writing output... [ 60%] generated/statsmodels.stats.correlation_tools.corr_nearest writing output... [ 60%] generated/statsmodels.stats.correlation_tools.corr_nearest_factor writing output... [ 60%] generated/statsmodels.stats.correlation_tools.corr_thresholded writing output... [ 60%] generated/statsmodels.stats.correlation_tools.cov_nearest writing output... [ 60%] generated/statsmodels.stats.correlation_tools.cov_nearest_factor_homog writing output... [ 60%] generated/statsmodels.stats.correlation_tools.kernel_covariance writing output... [ 60%] generated/statsmodels.stats.descriptivestats.Description writing output... [ 60%] generated/statsmodels.stats.descriptivestats.Description.categorical writing output... [ 60%] generated/statsmodels.stats.descriptivestats.Description.categorical_statistics writing output... [ 60%] generated/statsmodels.stats.descriptivestats.Description.default_statistics writing output... [ 60%] generated/statsmodels.stats.descriptivestats.Description.frame writing output... [ 60%] generated/statsmodels.stats.descriptivestats.Description.numeric writing output... [ 60%] generated/statsmodels.stats.descriptivestats.Description.numeric_statistics writing output... [ 60%] generated/statsmodels.stats.descriptivestats.Description.summary writing output... [ 60%] generated/statsmodels.stats.descriptivestats.describe writing output... [ 60%] generated/statsmodels.stats.descriptivestats.sign_test writing output... [ 60%] generated/statsmodels.stats.diagnostic.acorr_breusch_godfrey writing output... [ 60%] generated/statsmodels.stats.diagnostic.acorr_ljungbox writing output... [ 60%] generated/statsmodels.stats.diagnostic.acorr_lm writing output... [ 60%] generated/statsmodels.stats.diagnostic.anderson_statistic writing output... [ 60%] generated/statsmodels.stats.diagnostic.breaks_cusumolsresid writing output... [ 60%] generated/statsmodels.stats.diagnostic.breaks_hansen writing output... [ 60%] generated/statsmodels.stats.diagnostic.compare_cox writing output... [ 60%] generated/statsmodels.stats.diagnostic.compare_encompassing writing output... [ 60%] generated/statsmodels.stats.diagnostic.compare_j writing output... [ 60%] generated/statsmodels.stats.diagnostic.het_arch writing output... [ 60%] generated/statsmodels.stats.diagnostic.het_breuschpagan writing output... [ 60%] generated/statsmodels.stats.diagnostic.het_goldfeldquandt writing output... [ 61%] generated/statsmodels.stats.diagnostic.het_white writing output... [ 61%] generated/statsmodels.stats.diagnostic.kstest_exponential writing output... [ 61%] generated/statsmodels.stats.diagnostic.kstest_fit writing output... [ 61%] generated/statsmodels.stats.diagnostic.kstest_normal writing output... [ 61%] generated/statsmodels.stats.diagnostic.lilliefors writing output... [ 61%] generated/statsmodels.stats.diagnostic.linear_harvey_collier writing output... [ 61%] generated/statsmodels.stats.diagnostic.linear_lm writing output... [ 61%] generated/statsmodels.stats.diagnostic.linear_rainbow writing output... [ 61%] generated/statsmodels.stats.diagnostic.linear_reset writing output... [ 61%] generated/statsmodels.stats.diagnostic.normal_ad writing output... [ 61%] generated/statsmodels.stats.diagnostic.recursive_olsresiduals writing output... [ 61%] generated/statsmodels.stats.diagnostic.spec_white writing output... [ 61%] generated/statsmodels.stats.dist_dependence_measures.distance_correlation writing output... [ 61%] generated/statsmodels.stats.dist_dependence_measures.distance_covariance writing output... [ 61%] generated/statsmodels.stats.dist_dependence_measures.distance_covariance_test writing output... [ 61%] generated/statsmodels.stats.dist_dependence_measures.distance_statistics writing output... [ 61%] generated/statsmodels.stats.dist_dependence_measures.distance_variance writing output... [ 61%] generated/statsmodels.stats.gof.chisquare_effectsize writing output... [ 61%] generated/statsmodels.stats.gof.gof_binning_discrete writing output... [ 61%] generated/statsmodels.stats.gof.gof_chisquare_discrete writing output... [ 61%] generated/statsmodels.stats.gof.powerdiscrepancy writing output... [ 61%] generated/statsmodels.stats.inter_rater.aggregate_raters writing output... [ 61%] generated/statsmodels.stats.inter_rater.cohens_kappa writing output... [ 61%] generated/statsmodels.stats.inter_rater.fleiss_kappa writing output... [ 61%] generated/statsmodels.stats.inter_rater.to_table writing output... [ 61%] generated/statsmodels.stats.knockoff_regeffects.CorrelationEffects writing output... [ 61%] generated/statsmodels.stats.knockoff_regeffects.CorrelationEffects.stats writing output... [ 61%] generated/statsmodels.stats.knockoff_regeffects.ForwardEffects writing output... [ 61%] generated/statsmodels.stats.knockoff_regeffects.ForwardEffects.stats writing output... [ 61%] generated/statsmodels.stats.knockoff_regeffects.OLSEffects writing output... [ 61%] generated/statsmodels.stats.knockoff_regeffects.OLSEffects.stats writing output... [ 61%] generated/statsmodels.stats.knockoff_regeffects.RegModelEffects writing output... [ 61%] generated/statsmodels.stats.knockoff_regeffects.RegModelEffects.stats writing output... [ 61%] generated/statsmodels.stats.mediation.Mediation writing output... [ 61%] generated/statsmodels.stats.mediation.Mediation.fit writing output... [ 61%] generated/statsmodels.stats.mediation.MediationResults writing output... [ 61%] generated/statsmodels.stats.mediation.MediationResults.summary writing output... [ 61%] generated/statsmodels.stats.meta_analysis.CombineResults writing output... [ 61%] generated/statsmodels.stats.meta_analysis.CombineResults.conf_int writing output... [ 61%] generated/statsmodels.stats.meta_analysis.CombineResults.conf_int_samples writing output... [ 61%] generated/statsmodels.stats.meta_analysis.CombineResults.plot_forest writing output... [ 61%] generated/statsmodels.stats.meta_analysis.CombineResults.summary_array writing output... [ 61%] generated/statsmodels.stats.meta_analysis.CombineResults.summary_frame writing output... [ 61%] generated/statsmodels.stats.meta_analysis.CombineResults.test_homogeneity writing output... [ 61%] generated/statsmodels.stats.meta_analysis._fit_tau_iter_mm writing output... [ 61%] generated/statsmodels.stats.meta_analysis._fit_tau_iterative writing output... [ 61%] generated/statsmodels.stats.meta_analysis._fit_tau_mm writing output... [ 61%] generated/statsmodels.stats.meta_analysis.combine_effects writing output... [ 61%] generated/statsmodels.stats.meta_analysis.effectsize_2proportions writing output... [ 61%] generated/statsmodels.stats.meta_analysis.effectsize_smd writing output... [ 61%] generated/statsmodels.stats.moment_helpers.corr2cov writing output... [ 61%] generated/statsmodels.stats.moment_helpers.cov2corr writing output... [ 61%] generated/statsmodels.stats.moment_helpers.cum2mc writing output... [ 61%] generated/statsmodels.stats.moment_helpers.mc2mnc writing output... [ 61%] generated/statsmodels.stats.moment_helpers.mc2mvsk writing output... [ 61%] generated/statsmodels.stats.moment_helpers.mnc2cum writing output... [ 61%] generated/statsmodels.stats.moment_helpers.mnc2mc writing output... [ 61%] generated/statsmodels.stats.moment_helpers.mnc2mvsk writing output... [ 61%] generated/statsmodels.stats.moment_helpers.mvsk2mc writing output... [ 61%] generated/statsmodels.stats.moment_helpers.mvsk2mnc writing output... [ 61%] generated/statsmodels.stats.moment_helpers.se_cov writing output... [ 61%] generated/statsmodels.stats.multicomp.pairwise_tukeyhsd writing output... [ 61%] generated/statsmodels.stats.multitest.NullDistribution writing output... [ 61%] generated/statsmodels.stats.multitest.NullDistribution.pdf writing output... [ 61%] generated/statsmodels.stats.multitest.RegressionFDR writing output... [ 62%] generated/statsmodels.stats.multitest.RegressionFDR.summary writing output... [ 62%] generated/statsmodels.stats.multitest.RegressionFDR.threshold writing output... [ 62%] generated/statsmodels.stats.multitest.fdrcorrection writing output... [ 62%] generated/statsmodels.stats.multitest.fdrcorrection_twostage writing output... [ 62%] generated/statsmodels.stats.multitest.local_fdr writing output... [ 62%] generated/statsmodels.stats.multitest.multipletests writing output... [ 62%] generated/statsmodels.stats.multivariate.confint_mvmean writing output... [ 62%] generated/statsmodels.stats.multivariate.confint_mvmean_fromstats writing output... [ 62%] generated/statsmodels.stats.multivariate.test_cov writing output... [ 62%] generated/statsmodels.stats.multivariate.test_cov_blockdiagonal writing output... [ 62%] generated/statsmodels.stats.multivariate.test_cov_diagonal writing output... [ 62%] generated/statsmodels.stats.multivariate.test_cov_oneway writing output... [ 62%] generated/statsmodels.stats.multivariate.test_cov_spherical writing output... [ 62%] generated/statsmodels.stats.multivariate.test_mvmean writing output... [ 62%] generated/statsmodels.stats.multivariate.test_mvmean_2indep writing output... [ 62%] generated/statsmodels.stats.nonparametric.RankCompareResult writing output... [ 62%] generated/statsmodels.stats.nonparametric.RankCompareResult.conf_int writing output... [ 62%] generated/statsmodels.stats.nonparametric.RankCompareResult.confint_lintransf writing output... [ 62%] generated/statsmodels.stats.nonparametric.RankCompareResult.effectsize_normal writing output... [ 62%] generated/statsmodels.stats.nonparametric.RankCompareResult.summary writing output... [ 62%] generated/statsmodels.stats.nonparametric.RankCompareResult.test_prob_superior writing output... [ 62%] generated/statsmodels.stats.nonparametric.RankCompareResult.tost_prob_superior writing output... [ 62%] generated/statsmodels.stats.nonparametric.cohensd2problarger writing output... [ 62%] generated/statsmodels.stats.nonparametric.prob_larger_continuous writing output... [ 62%] generated/statsmodels.stats.nonparametric.rank_compare_2indep writing output... [ 62%] generated/statsmodels.stats.nonparametric.rank_compare_2ordinal writing output... [ 62%] generated/statsmodels.stats.nonparametric.rankdata_2samp writing output... [ 62%] generated/statsmodels.stats.oaxaca.OaxacaBlinder writing output... [ 62%] generated/statsmodels.stats.oaxaca.OaxacaBlinder.three_fold writing output... [ 62%] generated/statsmodels.stats.oaxaca.OaxacaBlinder.two_fold writing output... [ 62%] generated/statsmodels.stats.oaxaca.OaxacaBlinder.variance writing output... [ 62%] generated/statsmodels.stats.oaxaca.OaxacaResults writing output... [ 62%] generated/statsmodels.stats.oaxaca.OaxacaResults.summary writing output... [ 62%] generated/statsmodels.stats.oneway._fstat2effectsize writing output... [ 62%] generated/statsmodels.stats.oneway._power_equivalence_oneway_emp writing output... [ 62%] generated/statsmodels.stats.oneway.anova_generic writing output... [ 62%] generated/statsmodels.stats.oneway.anova_oneway writing output... [ 62%] generated/statsmodels.stats.oneway.confint_effectsize_oneway writing output... [ 62%] generated/statsmodels.stats.oneway.confint_noncentrality writing output... [ 62%] generated/statsmodels.stats.oneway.convert_effectsize_fsqu writing output... [ 62%] generated/statsmodels.stats.oneway.effectsize_oneway writing output... [ 62%] generated/statsmodels.stats.oneway.equivalence_oneway writing output... [ 62%] generated/statsmodels.stats.oneway.equivalence_oneway_generic writing output... [ 62%] generated/statsmodels.stats.oneway.equivalence_scale_oneway writing output... [ 62%] generated/statsmodels.stats.oneway.f2_to_wellek writing output... [ 62%] generated/statsmodels.stats.oneway.fstat_to_wellek writing output... [ 62%] generated/statsmodels.stats.oneway.power_equivalence_oneway writing output... [ 62%] generated/statsmodels.stats.oneway.scale_transform writing output... [ 62%] generated/statsmodels.stats.oneway.simulate_power_equivalence_oneway writing output... [ 62%] generated/statsmodels.stats.oneway.test_scale_oneway writing output... [ 62%] generated/statsmodels.stats.oneway.wellek_to_f2 writing output... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence writing output... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.cooks_distance writing output... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.d_fittedvalues writing output... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.d_fittedvalues_scaled writing output... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.d_linpred writing output... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.d_linpred_scaled writing output... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.d_params writing output... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.dfbetas writing output... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.hat_matrix_diag writing output... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.hat_matrix_exog_diag writing output... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.params_one writing output... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.plot_index writing output... [ 62%] generated/statsmodels.stats.outliers_influence.GLMInfluence.plot_influence writing output... [ 63%] generated/statsmodels.stats.outliers_influence.GLMInfluence.resid_score writing output... [ 63%] generated/statsmodels.stats.outliers_influence.GLMInfluence.resid_score_factor writing output... [ 63%] generated/statsmodels.stats.outliers_influence.GLMInfluence.resid_studentized writing output... [ 63%] generated/statsmodels.stats.outliers_influence.GLMInfluence.summary_frame writing output... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence writing output... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.cooks_distance writing output... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.d_fittedvalues writing output... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.d_fittedvalues_scaled writing output... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.d_params writing output... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.dfbetas writing output... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.hat_matrix_diag writing output... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.hat_matrix_exog_diag writing output... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.params_one writing output... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.plot_index writing output... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.plot_influence writing output... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.resid_score writing output... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.resid_score_factor writing output... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.resid_studentized writing output... [ 63%] generated/statsmodels.stats.outliers_influence.MLEInfluence.summary_frame writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.cooks_distance writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.cov_ratio writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.det_cov_params_not_obsi writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.dfbeta writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.dfbetas writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.dffits writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.dffits_internal writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.ess_press writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.get_resid_studentized_external writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.hat_diag_factor writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.hat_matrix_diag writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.influence writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.params_not_obsi writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.plot_index writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.plot_influence writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.resid_press writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.resid_std writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.resid_studentized writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.resid_studentized_external writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.resid_studentized_internal writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.resid_var writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.sigma2_not_obsi writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.summary_frame writing output... [ 63%] generated/statsmodels.stats.outliers_influence.OLSInfluence.summary_table writing output... [ 63%] generated/statsmodels.stats.outliers_influence.variance_inflation_factor writing output... [ 63%] generated/statsmodels.stats.power.FTestAnovaPower writing output... [ 63%] generated/statsmodels.stats.power.FTestAnovaPower.plot_power writing output... [ 63%] generated/statsmodels.stats.power.FTestAnovaPower.power writing output... [ 63%] generated/statsmodels.stats.power.FTestAnovaPower.solve_power writing output... [ 63%] generated/statsmodels.stats.power.FTestPower writing output... [ 63%] generated/statsmodels.stats.power.FTestPower.plot_power writing output... [ 63%] generated/statsmodels.stats.power.FTestPower.power writing output... [ 63%] generated/statsmodels.stats.power.FTestPower.solve_power writing output... [ 63%] generated/statsmodels.stats.power.GofChisquarePower writing output... [ 63%] generated/statsmodels.stats.power.GofChisquarePower.plot_power writing output... [ 63%] generated/statsmodels.stats.power.GofChisquarePower.power writing output... [ 63%] generated/statsmodels.stats.power.GofChisquarePower.solve_power writing output... [ 63%] generated/statsmodels.stats.power.NormalIndPower writing output... [ 63%] generated/statsmodels.stats.power.NormalIndPower.plot_power writing output... [ 63%] generated/statsmodels.stats.power.NormalIndPower.power writing output... [ 63%] generated/statsmodels.stats.power.NormalIndPower.solve_power writing output... [ 63%] generated/statsmodels.stats.power.TTestIndPower writing output... [ 63%] generated/statsmodels.stats.power.TTestIndPower.plot_power writing output... [ 63%] generated/statsmodels.stats.power.TTestIndPower.power writing output... [ 63%] generated/statsmodels.stats.power.TTestIndPower.solve_power writing output... [ 64%] generated/statsmodels.stats.power.TTestPower writing output... [ 64%] generated/statsmodels.stats.power.TTestPower.plot_power writing output... [ 64%] generated/statsmodels.stats.power.TTestPower.power writing output... [ 64%] generated/statsmodels.stats.power.TTestPower.solve_power writing output... [ 64%] generated/statsmodels.stats.power.normal_power_het writing output... [ 64%] generated/statsmodels.stats.power.normal_sample_size_one_tail writing output... [ 64%] generated/statsmodels.stats.power.tt_ind_solve_power writing output... [ 64%] generated/statsmodels.stats.power.tt_solve_power writing output... [ 64%] generated/statsmodels.stats.power.zt_ind_solve_power writing output... [ 64%] generated/statsmodels.stats.proportion._score_confint_inversion writing output... [ 64%] generated/statsmodels.stats.proportion.binom_test writing output... [ 64%] generated/statsmodels.stats.proportion.binom_test_reject_interval writing output... [ 64%] generated/statsmodels.stats.proportion.binom_tost writing output... [ 64%] generated/statsmodels.stats.proportion.binom_tost_reject_interval writing output... [ 64%] generated/statsmodels.stats.proportion.confint_proportions_2indep writing output... [ 64%] generated/statsmodels.stats.proportion.multinomial_proportions_confint writing output... [ 64%] generated/statsmodels.stats.proportion.power_binom_tost writing output... [ 64%] generated/statsmodels.stats.proportion.power_proportions_2indep writing output... [ 64%] generated/statsmodels.stats.proportion.power_ztost_prop writing output... [ 64%] generated/statsmodels.stats.proportion.proportion_confint writing output... [ 64%] generated/statsmodels.stats.proportion.proportion_effectsize writing output... [ 64%] generated/statsmodels.stats.proportion.proportions_chisquare writing output... [ 64%] generated/statsmodels.stats.proportion.proportions_chisquare_allpairs writing output... [ 64%] generated/statsmodels.stats.proportion.proportions_chisquare_pairscontrol writing output... [ 64%] generated/statsmodels.stats.proportion.proportions_ztest writing output... [ 64%] generated/statsmodels.stats.proportion.proportions_ztost writing output... [ 64%] generated/statsmodels.stats.proportion.samplesize_confint_proportion writing output... [ 64%] generated/statsmodels.stats.proportion.samplesize_proportions_2indep_onetail writing output... [ 64%] generated/statsmodels.stats.proportion.score_test_proportions_2indep writing output... [ 64%] generated/statsmodels.stats.proportion.test_proportions_2indep writing output... [ 64%] generated/statsmodels.stats.proportion.tost_proportions_2indep writing output... [ 64%] generated/statsmodels.stats.rates.confint_poisson writing output... [ 64%] generated/statsmodels.stats.rates.confint_poisson_2indep writing output... [ 64%] generated/statsmodels.stats.rates.confint_quantile_poisson writing output... [ 64%] generated/statsmodels.stats.rates.etest_poisson_2indep writing output... [ 64%] generated/statsmodels.stats.rates.nonequivalence_poisson_2indep writing output... [ 64%] generated/statsmodels.stats.rates.power_equivalence_neginb_2indep writing output... [ 64%] generated/statsmodels.stats.rates.power_equivalence_poisson_2indep writing output... [ 64%] generated/statsmodels.stats.rates.power_negbin_ratio_2indep writing output... [ 64%] generated/statsmodels.stats.rates.power_poisson_diff_2indep writing output... [ 64%] generated/statsmodels.stats.rates.power_poisson_ratio_2indep writing output... [ 64%] generated/statsmodels.stats.rates.test_poisson writing output... [ 64%] generated/statsmodels.stats.rates.test_poisson_2indep writing output... [ 64%] generated/statsmodels.stats.rates.tolerance_int_poisson writing output... [ 64%] generated/statsmodels.stats.rates.tost_poisson_2indep writing output... [ 64%] generated/statsmodels.stats.regularized_covariance.RegularizedInvCovariance writing output... [ 64%] generated/statsmodels.stats.regularized_covariance.RegularizedInvCovariance.approx_inv_cov writing output... [ 64%] generated/statsmodels.stats.regularized_covariance.RegularizedInvCovariance.fit writing output... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean writing output... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.data_trimmed writing output... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.data_winsorized writing output... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.mean_trimmed writing output... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.mean_winsorized writing output... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.reset_fraction writing output... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.std_mean_trimmed writing output... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.std_mean_winsorized writing output... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.ttest_mean writing output... [ 64%] generated/statsmodels.stats.robust_compare.TrimmedMean.var_winsorized writing output... [ 64%] generated/statsmodels.stats.robust_compare.scale_transform writing output... [ 64%] generated/statsmodels.stats.robust_compare.trim_mean writing output... [ 64%] generated/statsmodels.stats.robust_compare.trimboth writing output... [ 64%] generated/statsmodels.stats.sandwich_covariance.cov_cluster writing output... [ 64%] generated/statsmodels.stats.sandwich_covariance.cov_cluster_2groups writing output... [ 64%] generated/statsmodels.stats.sandwich_covariance.cov_hac writing output... [ 64%] generated/statsmodels.stats.sandwich_covariance.cov_hc0 writing output... [ 65%] generated/statsmodels.stats.sandwich_covariance.cov_hc1 writing output... [ 65%] generated/statsmodels.stats.sandwich_covariance.cov_hc2 writing output... [ 65%] generated/statsmodels.stats.sandwich_covariance.cov_hc3 writing output... [ 65%] generated/statsmodels.stats.sandwich_covariance.cov_nw_groupsum writing output... [ 65%] generated/statsmodels.stats.sandwich_covariance.cov_nw_panel writing output... [ 65%] generated/statsmodels.stats.sandwich_covariance.cov_white_simple writing output... [ 65%] generated/statsmodels.stats.sandwich_covariance.se_cov writing output... [ 65%] generated/statsmodels.stats.stattools.durbin_watson writing output... [ 65%] generated/statsmodels.stats.stattools.expected_robust_kurtosis writing output... [ 65%] generated/statsmodels.stats.stattools.jarque_bera writing output... [ 65%] generated/statsmodels.stats.stattools.medcouple writing output... [ 65%] generated/statsmodels.stats.stattools.omni_normtest writing output... [ 65%] generated/statsmodels.stats.stattools.robust_kurtosis writing output... [ 65%] generated/statsmodels.stats.stattools.robust_skewness writing output... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans writing output... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.dof_satt writing output... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.from_data writing output... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.std_meandiff_pooledvar writing output... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.std_meandiff_separatevar writing output... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.summary writing output... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.tconfint_diff writing output... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.ttest_ind writing output... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.ttost_ind writing output... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.zconfint_diff writing output... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.ztest_ind writing output... [ 65%] generated/statsmodels.stats.weightstats.CompareMeans.ztost_ind writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.asrepeats writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.corrcoef writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.cov writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.demeaned writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.get_compare writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.mean writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.nobs writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.quantile writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.std writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.std_ddof writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.std_mean writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.sum writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.sum_weights writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.sumsquares writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.tconfint_mean writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.ttest_mean writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.ttost_mean writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.var writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.var_ddof writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.zconfint_mean writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.ztest_mean writing output... [ 65%] generated/statsmodels.stats.weightstats.DescrStatsW.ztost_mean writing output... [ 65%] generated/statsmodels.stats.weightstats._tconfint_generic writing output... [ 65%] generated/statsmodels.stats.weightstats._tstat_generic writing output... [ 65%] generated/statsmodels.stats.weightstats._zconfint_generic writing output... [ 65%] generated/statsmodels.stats.weightstats._zstat_generic writing output... [ 65%] generated/statsmodels.stats.weightstats._zstat_generic2 writing output... [ 65%] generated/statsmodels.stats.weightstats.ttest_ind writing output... [ 65%] generated/statsmodels.stats.weightstats.ttost_ind writing output... [ 65%] generated/statsmodels.stats.weightstats.ttost_paired writing output... [ 65%] generated/statsmodels.stats.weightstats.zconfint writing output... [ 65%] generated/statsmodels.stats.weightstats.ztest writing output... [ 65%] generated/statsmodels.stats.weightstats.ztost writing output... [ 65%] generated/statsmodels.tools.eval_measures.aic writing output... [ 65%] generated/statsmodels.tools.eval_measures.aic_sigma writing output... [ 65%] generated/statsmodels.tools.eval_measures.aicc writing output... [ 65%] generated/statsmodels.tools.eval_measures.aicc_sigma writing output... [ 66%] generated/statsmodels.tools.eval_measures.bias writing output... [ 66%] generated/statsmodels.tools.eval_measures.bic writing output... [ 66%] generated/statsmodels.tools.eval_measures.bic_sigma writing output... [ 66%] generated/statsmodels.tools.eval_measures.hqic writing output... [ 66%] generated/statsmodels.tools.eval_measures.hqic_sigma writing output... [ 66%] generated/statsmodels.tools.eval_measures.iqr writing output... [ 66%] generated/statsmodels.tools.eval_measures.maxabs writing output... [ 66%] generated/statsmodels.tools.eval_measures.meanabs writing output... [ 66%] generated/statsmodels.tools.eval_measures.medianabs writing output... [ 66%] generated/statsmodels.tools.eval_measures.medianbias writing output... [ 66%] generated/statsmodels.tools.eval_measures.mse writing output... [ 66%] generated/statsmodels.tools.eval_measures.rmse writing output... [ 66%] generated/statsmodels.tools.eval_measures.rmspe writing output... [ 66%] generated/statsmodels.tools.eval_measures.stde writing output... [ 66%] generated/statsmodels.tools.eval_measures.vare writing output... [ 66%] generated/statsmodels.tools.numdiff.approx_fprime writing output... [ 66%] generated/statsmodels.tools.numdiff.approx_fprime_cs writing output... [ 66%] generated/statsmodels.tools.numdiff.approx_hess1 writing output... [ 66%] generated/statsmodels.tools.numdiff.approx_hess2 writing output... [ 66%] generated/statsmodels.tools.numdiff.approx_hess3 writing output... [ 66%] generated/statsmodels.tools.numdiff.approx_hess_cs writing output... [ 66%] generated/statsmodels.tools.print_version.show_versions writing output... [ 66%] generated/statsmodels.tools.rng_qrng.check_random_state writing output... [ 66%] generated/statsmodels.tools.tools.add_constant writing output... [ 66%] generated/statsmodels.tools.tools.clean0 writing output... [ 66%] generated/statsmodels.tools.tools.fullrank writing output... [ 66%] generated/statsmodels.tools.tools.isestimable writing output... [ 66%] generated/statsmodels.tools.tools.recipr writing output... [ 66%] generated/statsmodels.tools.tools.recipr0 writing output... [ 66%] generated/statsmodels.tools.tools.unsqueeze writing output... [ 66%] generated/statsmodels.tools.web.webdoc writing output... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffect writing output... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffect.aipw writing output... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffect.aipw_wls writing output... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffect.from_data writing output... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffect.ipw writing output... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffect.ipw_ra writing output... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffect.ra writing output... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffectResults writing output... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffectResults.conf_int writing output... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffectResults.df_denom writing output... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffectResults.summary writing output... [ 66%] generated/statsmodels.treatment.treatment_effects.TreatmentEffectResults.summary_frame writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.ar_lags writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.deterministic writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.df_model writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.endog_names writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.exog_names writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.fit writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.from_formula writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.hessian writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.hold_back writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.information writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.initialize writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.loglike writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.period writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.predict writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.score writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.seasonal writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoReg.trend writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoRegResults writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoRegResults.aic writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoRegResults.aicc writing output... [ 66%] generated/statsmodels.tsa.ar_model.AutoRegResults.append writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.apply writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.ar_lags writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.arfreq writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.bic writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.bse writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.conf_int writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.cov_params writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.df_model writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.df_resid writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.diagnostic_summary writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.f_test writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.fittedvalues writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.forecast writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.fpe writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.get_prediction writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.hqic writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.initialize writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.llf writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.load writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.nobs writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.normalized_cov_params writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.params writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.plot_diagnostics writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.plot_predict writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.predict writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.pvalues writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.remove_data writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.resid writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.roots writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.save writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.scale writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.sigma2 writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.summary writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.t_test writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.t_test_pairwise writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.test_heteroskedasticity writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.test_normality writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.test_serial_correlation writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.tvalues writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.use_t writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.wald_test writing output... [ 67%] generated/statsmodels.tsa.ar_model.AutoRegResults.wald_test_terms writing output... [ 67%] generated/statsmodels.tsa.ar_model.ar_select_order writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.ar_lags writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.ardl_order writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.causal writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.deterministic writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.df_model writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.dl_lags writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.endog_names writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.exog_names writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.fit writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.fixed writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.from_formula writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.hessian writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.hold_back writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.information writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.initialize writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.loglike writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.period writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.predict writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.score writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.seasonal writing output... [ 67%] generated/statsmodels.tsa.ardl.ARDL.trend writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.aic writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.ar_lags writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.bic writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.dl_lags writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.hqic writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.model writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.period writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.seasonal writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLOrderSelectionResults.trend writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.aic writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.aicc writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.append writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.apply writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.ar_lags writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.arfreq writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.bic writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.bse writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.conf_int writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.cov_params writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.df_model writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.df_resid writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.diagnostic_summary writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.f_test writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.fittedvalues writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.forecast writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.fpe writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.get_prediction writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.hqic writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.initialize writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.llf writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.load writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.nobs writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.normalized_cov_params writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.params writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.plot_diagnostics writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.plot_predict writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.predict writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.pvalues writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.remove_data writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.resid writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.roots writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.save writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.scale writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.sigma2 writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.summary writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.t_test writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.t_test_pairwise writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.test_heteroskedasticity writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.test_normality writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.test_serial_correlation writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.tvalues writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.use_t writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.wald_test writing output... [ 68%] generated/statsmodels.tsa.ardl.ARDLResults.wald_test_terms writing output... [ 68%] generated/statsmodels.tsa.ardl.BoundsTestResult writing output... [ 68%] generated/statsmodels.tsa.ardl.BoundsTestResult.alternative writing output... [ 68%] generated/statsmodels.tsa.ardl.BoundsTestResult.count writing output... [ 68%] generated/statsmodels.tsa.ardl.BoundsTestResult.crit_vals writing output... [ 68%] generated/statsmodels.tsa.ardl.BoundsTestResult.index writing output... [ 68%] generated/statsmodels.tsa.ardl.BoundsTestResult.null writing output... [ 68%] generated/statsmodels.tsa.ardl.BoundsTestResult.p_values writing output... [ 68%] generated/statsmodels.tsa.ardl.BoundsTestResult.stat writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.ar_lags writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.ardl_order writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.causal writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.deterministic writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.df_model writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.dl_lags writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.endog_names writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.exog_names writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.fit writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.fixed writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.from_ardl writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.from_formula writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.hessian writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.hold_back writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.information writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.initialize writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.loglike writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.period writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.predict writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.score writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.seasonal writing output... [ 69%] generated/statsmodels.tsa.ardl.UECM.trend writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.aic writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.aicc writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.append writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.apply writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ar_lags writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.arfreq writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.bic writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.bounds_test writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.bse writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ci_bse writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ci_conf_int writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ci_cov_params writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ci_params writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ci_pvalues writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ci_resids writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ci_summary writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.ci_tvalues writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.conf_int writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.cov_params writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.df_model writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.df_resid writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.diagnostic_summary writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.f_test writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.fittedvalues writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.forecast writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.fpe writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.get_prediction writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.hqic writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.initialize writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.llf writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.load writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.nobs writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.normalized_cov_params writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.params writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.plot_diagnostics writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.plot_predict writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.predict writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.pvalues writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.remove_data writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.resid writing output... [ 69%] generated/statsmodels.tsa.ardl.UECMResults.roots writing output... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.save writing output... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.scale writing output... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.sigma2 writing output... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.summary writing output... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.t_test writing output... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.t_test_pairwise writing output... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.test_heteroskedasticity writing output... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.test_normality writing output... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.test_serial_correlation writing output... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.tvalues writing output... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.use_t writing output... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.wald_test writing output... [ 70%] generated/statsmodels.tsa.ardl.UECMResults.wald_test_terms writing output... [ 70%] generated/statsmodels.tsa.ardl.ardl_select_order writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.clone writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.endog_names writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.exog_names writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.filter writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.fit writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.fit_constrained writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.fix_params writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.from_formula writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.handle_params writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.hessian writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.impulse_responses writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.information writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initial_design writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initial_selection writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initial_state_intercept writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initial_transition writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initial_variance writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initialization writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initialize writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initialize_approximate_diffuse writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initialize_default writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initialize_known writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initialize_statespace writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.initialize_stationary writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.loglike writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.loglikelihood_burn writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.loglikeobs writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.model_latex_names writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.model_names writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.model_orders writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.observed_information_matrix writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.opg_information_matrix writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.param_names writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.param_terms writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.params_complete writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.predict writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.prepare_data writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.score writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.score_obs writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.set_conserve_memory writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.set_filter_method writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.set_inversion_method writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.set_smoother_output writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.set_stability_method writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.simulate writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.simulation_smoother writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.smooth writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.start_params writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.state_names writing output... [ 70%] generated/statsmodels.tsa.arima.model.ARIMA.tolerance writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMA.transform_jacobian writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMA.transform_params writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMA.untransform_params writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMA.update writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.aic writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.aicc writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.append writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.apply writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.arfreq writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.arparams writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.arroots writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.bic writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.bse writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.conf_int writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.cov_params writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.cov_params_approx writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.cov_params_oim writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.cov_params_opg writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.cov_params_robust writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.cov_params_robust_approx writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.cov_params_robust_oim writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.extend writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.f_test writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.fittedvalues writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.forecast writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.get_forecast writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.get_prediction writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.get_smoothed_decomposition writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.hqic writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.impulse_responses writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.info_criteria writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.initialize writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.llf writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.llf_obs writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.load writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.loglikelihood_burn writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.mae writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.mafreq writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.maparams writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.maroots writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.mse writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.news writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.normalized_cov_params writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.plot_diagnostics writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.predict writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.pvalues writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.remove_data writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.resid writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.save writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.seasonalarparams writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.seasonalmaparams writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.simulate writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.sse writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.states writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.summary writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.t_test writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.t_test_pairwise writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.test_heteroskedasticity writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.test_normality writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.test_serial_correlation writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.tvalues writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.use_t writing output... [ 71%] generated/statsmodels.tsa.arima.model.ARIMAResults.wald_test writing output... [ 72%] generated/statsmodels.tsa.arima.model.ARIMAResults.wald_test_terms writing output... [ 72%] generated/statsmodels.tsa.arima.model.ARIMAResults.zvalues writing output... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess writing output... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.acf writing output... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.acovf writing output... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.arma2ar writing output... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.arma2ma writing output... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.arroots writing output... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.from_coeffs writing output... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.from_estimation writing output... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.from_roots writing output... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.generate_sample writing output... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.impulse_response writing output... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.invertroots writing output... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.isinvertible writing output... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.isstationary writing output... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.maroots writing output... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.pacf writing output... [ 72%] generated/statsmodels.tsa.arima_process.ArmaProcess.periodogram writing output... [ 72%] generated/statsmodels.tsa.arima_process.ar2arma writing output... [ 72%] generated/statsmodels.tsa.arima_process.arma2ar writing output... [ 72%] generated/statsmodels.tsa.arima_process.arma2ma writing output... [ 72%] generated/statsmodels.tsa.arima_process.arma_acf writing output... [ 72%] generated/statsmodels.tsa.arima_process.arma_acovf writing output... [ 72%] generated/statsmodels.tsa.arima_process.arma_generate_sample writing output... [ 72%] generated/statsmodels.tsa.arima_process.arma_impulse_response writing output... [ 72%] generated/statsmodels.tsa.arima_process.arma_pacf writing output... [ 72%] generated/statsmodels.tsa.arima_process.arma_periodogram writing output... [ 72%] generated/statsmodels.tsa.arima_process.deconvolve writing output... [ 72%] generated/statsmodels.tsa.arima_process.index2lpol writing output... [ 72%] generated/statsmodels.tsa.arima_process.lpol2index writing output... [ 72%] generated/statsmodels.tsa.arima_process.lpol_fiar writing output... [ 72%] generated/statsmodels.tsa.arima_process.lpol_fima writing output... [ 72%] generated/statsmodels.tsa.arima_process.lpol_sdiff writing output... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults writing output... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults.conf_int writing output... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults.predicted_mean writing output... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults.row_labels writing output... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults.se_mean writing output... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults.summary_frame writing output... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults.t_test writing output... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults.tvalues writing output... [ 72%] generated/statsmodels.tsa.base.prediction.PredictionResults.var_pred_mean writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarDeterministicTerm writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarDeterministicTerm.freq writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarDeterministicTerm.in_sample writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarDeterministicTerm.is_dummy writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarDeterministicTerm.out_of_sample writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarFourier writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarFourier.freq writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarFourier.in_sample writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarFourier.is_dummy writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarFourier.order writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarFourier.out_of_sample writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarSeasonality writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarSeasonality.freq writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarSeasonality.in_sample writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarSeasonality.is_dummy writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarSeasonality.out_of_sample writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarSeasonality.period writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend.base_period writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend.constant writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend.freq writing output... [ 72%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend.from_string writing output... [ 73%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend.in_sample writing output... [ 73%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend.is_dummy writing output... [ 73%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend.order writing output... [ 73%] generated/statsmodels.tsa.deterministic.CalendarTimeTrend.out_of_sample writing output... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicProcess writing output... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicProcess.apply writing output... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicProcess.in_sample writing output... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicProcess.index writing output... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicProcess.out_of_sample writing output... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicProcess.range writing output... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicProcess.terms writing output... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicTerm writing output... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicTerm.in_sample writing output... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicTerm.is_dummy writing output... [ 73%] generated/statsmodels.tsa.deterministic.DeterministicTerm.out_of_sample writing output... [ 73%] generated/statsmodels.tsa.deterministic.Fourier writing output... [ 73%] generated/statsmodels.tsa.deterministic.Fourier.in_sample writing output... [ 73%] generated/statsmodels.tsa.deterministic.Fourier.is_dummy writing output... [ 73%] generated/statsmodels.tsa.deterministic.Fourier.order writing output... [ 73%] generated/statsmodels.tsa.deterministic.Fourier.out_of_sample writing output... [ 73%] generated/statsmodels.tsa.deterministic.Fourier.period writing output... [ 73%] generated/statsmodels.tsa.deterministic.FourierDeterministicTerm writing output... [ 73%] generated/statsmodels.tsa.deterministic.FourierDeterministicTerm.in_sample writing output... [ 73%] generated/statsmodels.tsa.deterministic.FourierDeterministicTerm.is_dummy writing output... [ 73%] generated/statsmodels.tsa.deterministic.FourierDeterministicTerm.order writing output... [ 73%] generated/statsmodels.tsa.deterministic.FourierDeterministicTerm.out_of_sample writing output... [ 73%] generated/statsmodels.tsa.deterministic.Seasonality writing output... [ 73%] generated/statsmodels.tsa.deterministic.Seasonality.from_index writing output... [ 73%] generated/statsmodels.tsa.deterministic.Seasonality.in_sample writing output... [ 73%] generated/statsmodels.tsa.deterministic.Seasonality.initial_period writing output... [ 73%] generated/statsmodels.tsa.deterministic.Seasonality.is_dummy writing output... [ 73%] generated/statsmodels.tsa.deterministic.Seasonality.out_of_sample writing output... [ 73%] generated/statsmodels.tsa.deterministic.Seasonality.period writing output... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrend writing output... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrend.constant writing output... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrend.from_string writing output... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrend.in_sample writing output... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrend.is_dummy writing output... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrend.order writing output... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrend.out_of_sample writing output... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrendDeterministicTerm writing output... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrendDeterministicTerm.constant writing output... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrendDeterministicTerm.in_sample writing output... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrendDeterministicTerm.is_dummy writing output... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrendDeterministicTerm.order writing output... [ 73%] generated/statsmodels.tsa.deterministic.TimeTrendDeterministicTerm.out_of_sample writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.clone writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.endog_names writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.exog_names writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.fit writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.fit_constrained writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.fix_params writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.from_formula writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.hessian writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.information writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.initial_state_names writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.initialize writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.k_endog writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.k_params writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.loglike writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.nobs_effective writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.param_names writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.predict writing output... [ 73%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.prepare_data writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.score writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.set_bounds writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.set_initialization_method writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.short_name writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.smooth writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.start_params writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.state_names writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.update writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSModel.use_internal_loglike writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.aic writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.aicc writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.bic writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.bse writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.conf_int writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.cov_params writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.cov_params_approx writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.df_resid writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.f_test writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.fittedvalues writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.forecast writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.get_prediction writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.hqic writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.initialize writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.llf writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.load writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.mae writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.mse writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.nobs_effective writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.normalized_cov_params writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.predict writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.pvalues writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.remove_data writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.resid writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.save writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.simulate writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.sse writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.summary writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.t_test writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.t_test_pairwise writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.test_heteroskedasticity writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.test_normality writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.test_serial_correlation writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.tvalues writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.use_t writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.wald_test writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.wald_test_terms writing output... [ 74%] generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.zvalues writing output... [ 74%] generated/statsmodels.tsa.filters.bk_filter.bkfilter writing output... [ 74%] generated/statsmodels.tsa.filters.cf_filter.cffilter writing output... [ 74%] generated/statsmodels.tsa.filters.filtertools.convolution_filter writing output... [ 74%] generated/statsmodels.tsa.filters.filtertools.fftconvolve3 writing output... [ 74%] generated/statsmodels.tsa.filters.filtertools.fftconvolveinv writing output... [ 74%] generated/statsmodels.tsa.filters.filtertools.miso_lfilter writing output... [ 74%] generated/statsmodels.tsa.filters.filtertools.recursive_filter writing output... [ 74%] generated/statsmodels.tsa.filters.hp_filter.hpfilter writing output... [ 74%] generated/statsmodels.tsa.forecasting.stl.STLForecast writing output... [ 74%] generated/statsmodels.tsa.forecasting.stl.STLForecast.fit writing output... [ 74%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults writing output... [ 74%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults.forecast writing output... [ 74%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults.get_prediction writing output... [ 74%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults.model writing output... [ 74%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults.model_result writing output... [ 74%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults.period writing output... [ 75%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults.result writing output... [ 75%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults.stl writing output... [ 75%] generated/statsmodels.tsa.forecasting.stl.STLForecastResults.summary writing output... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModel writing output... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModel.deseasonalize writing output... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModel.difference writing output... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModel.fit writing output... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModel.method writing output... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModel.period writing output... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModel.use_test writing output... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults writing output... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults.forecast writing output... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults.forecast_components writing output... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults.model writing output... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults.params writing output... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults.plot_predict writing output... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults.prediction_intervals writing output... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults.sigma2 writing output... [ 75%] generated/statsmodels.tsa.forecasting.theta.ThetaModelResults.summary writing output... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing writing output... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.endog_names writing output... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.exog_names writing output... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.fit writing output... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.fix_params writing output... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.from_formula writing output... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.hessian writing output... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.information writing output... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.initial_values writing output... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.initialize writing output... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.loglike writing output... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.predict writing output... [ 75%] generated/statsmodels.tsa.holtwinters.ExponentialSmoothing.score writing output... [ 75%] generated/statsmodels.tsa.holtwinters.Holt writing output... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.endog_names writing output... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.exog_names writing output... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.fit writing output... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.fix_params writing output... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.from_formula writing output... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.hessian writing output... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.information writing output... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.initial_values writing output... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.initialize writing output... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.loglike writing output... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.predict writing output... [ 75%] generated/statsmodels.tsa.holtwinters.Holt.score writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.aic writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.aicc writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.bic writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.fcastvalues writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.fittedfcast writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.fittedvalues writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.forecast writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.initialize writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.k writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.level writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.mle_retvals writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.model writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.optimized writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.params_formatted writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.predict writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.resid writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.season writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.simulate writing output... [ 75%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.sse writing output... [ 76%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.summary writing output... [ 76%] generated/statsmodels.tsa.holtwinters.HoltWintersResults.trend writing output... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing writing output... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.endog_names writing output... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.exog_names writing output... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.fit writing output... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.fix_params writing output... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.from_formula writing output... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.hessian writing output... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.information writing output... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.initial_values writing output... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.initialize writing output... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.loglike writing output... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.predict writing output... [ 76%] generated/statsmodels.tsa.holtwinters.SimpleExpSmoothing.score writing output... [ 76%] generated/statsmodels.tsa.interp.denton.dentonm writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.endog_names writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.exog_names writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.filter writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.fit writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.from_formula writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.hessian writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.information writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.initial_probabilities writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.initialize writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.initialize_known writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.initialize_steady_state writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.k_params writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.loglike writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.loglikeobs writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.param_names writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.predict writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.predict_conditional writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.regime_transition_matrix writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.score writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.score_obs writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.smooth writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.start_params writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.transform_params writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_autoregression.MarkovAutoregression.untransform_params writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.endog_names writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.exog_names writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.filter writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.fit writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.from_formula writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.hessian writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.information writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.initial_probabilities writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.initialize writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.initialize_known writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.initialize_steady_state writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.k_params writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.loglike writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.loglikeobs writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.param_names writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.predict writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.predict_conditional writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.regime_transition_matrix writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.score writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.score_obs writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.smooth writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.start_params writing output... [ 76%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.transform_params writing output... [ 77%] generated/statsmodels.tsa.regime_switching.markov_regression.MarkovRegression.untransform_params writing output... [ 77%] generated/statsmodels.tsa.seasonal.DecomposeResult writing output... [ 77%] generated/statsmodels.tsa.seasonal.DecomposeResult.nobs writing output... [ 77%] generated/statsmodels.tsa.seasonal.DecomposeResult.observed writing output... [ 77%] generated/statsmodels.tsa.seasonal.DecomposeResult.plot writing output... [ 77%] generated/statsmodels.tsa.seasonal.DecomposeResult.resid writing output... [ 77%] generated/statsmodels.tsa.seasonal.DecomposeResult.seasonal writing output... [ 77%] generated/statsmodels.tsa.seasonal.DecomposeResult.trend writing output... [ 77%] generated/statsmodels.tsa.seasonal.DecomposeResult.weights writing output... [ 77%] generated/statsmodels.tsa.seasonal.MSTL writing output... [ 77%] generated/statsmodels.tsa.seasonal.MSTL.fit writing output... [ 77%] generated/statsmodels.tsa.seasonal.STL writing output... [ 77%] generated/statsmodels.tsa.seasonal.STL.config writing output... [ 77%] generated/statsmodels.tsa.seasonal.STL.fit writing output... [ 77%] generated/statsmodels.tsa.seasonal.STL.period writing output... [ 77%] generated/statsmodels.tsa.seasonal.seasonal_decompose writing output... [ 77%] generated/statsmodels.tsa.statespace.cfa_simulation_smoother.CFASimulationSmoother writing output... [ 77%] generated/statsmodels.tsa.statespace.cfa_simulation_smoother.CFASimulationSmoother.posterior_cov writing output... [ 77%] generated/statsmodels.tsa.statespace.cfa_simulation_smoother.CFASimulationSmoother.posterior_cov_inv_chol_sparse writing output... [ 77%] generated/statsmodels.tsa.statespace.cfa_simulation_smoother.CFASimulationSmoother.posterior_mean writing output... [ 77%] generated/statsmodels.tsa.statespace.cfa_simulation_smoother.CFASimulationSmoother.simulate writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.clone writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.endog_names writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.exog_names writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.filter writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.fit writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.fit_constrained writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.fix_params writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.from_formula writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.handle_params writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.hessian writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.impulse_responses writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.information writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.initial_variance writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.initialization writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.initialize writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.initialize_approximate_diffuse writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.initialize_known writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.initialize_statespace writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.initialize_stationary writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.loglike writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.loglikelihood_burn writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.loglikeobs writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.observed_information_matrix writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.opg_information_matrix writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.param_names writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.predict writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.prepare_data writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.score writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.score_obs writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.set_conserve_memory writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.set_filter_method writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.set_inversion_method writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.set_smoother_output writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.set_stability_method writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.simulate writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.simulation_smoother writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.smooth writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.start_params writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.state_names writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.tolerance writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.transform_jacobian writing output... [ 77%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.transform_params writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.untransform_params writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactor.update writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.aic writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.aicc writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.append writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.apply writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.bic writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.bse writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.coefficients_of_determination writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.conf_int writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.cov_params writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.cov_params_approx writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.cov_params_oim writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.cov_params_opg writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.cov_params_robust writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.cov_params_robust_approx writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.cov_params_robust_oim writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.extend writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.f_test writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.factors writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.fittedvalues writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.forecast writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.get_forecast writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.get_prediction writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.get_smoothed_decomposition writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.hqic writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.impulse_responses writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.info_criteria writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.initialize writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.llf writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.llf_obs writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.load writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.loglikelihood_burn writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.mae writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.mse writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.news writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.normalized_cov_params writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.plot_coefficients_of_determination writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.plot_diagnostics writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.predict writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.pvalues writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.remove_data writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.resid writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.save writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.simulate writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.sse writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.states writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.summary writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.t_test writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.t_test_pairwise writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.test_heteroskedasticity writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.test_normality writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.test_serial_correlation writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.tvalues writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.use_t writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.wald_test writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.wald_test_terms writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.zvalues writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.clone writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.construct_endog writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.endog_names writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.exog_names writing output... [ 78%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.filter writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.fit writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.fit_constrained writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.fit_em writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.fix_params writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.from_formula writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.handle_params writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.hessian writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.impulse_responses writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.information writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.initial_variance writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.initialization writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.initialize writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.initialize_approximate_diffuse writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.initialize_known writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.initialize_statespace writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.initialize_stationary writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.loading_constraints writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.loglike writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.loglike_constant writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.loglikelihood_burn writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.loglikeobs writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.observed_information_matrix writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.opg_information_matrix writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.param_names writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.predict writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.prepare_data writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.score writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.score_obs writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.set_conserve_memory writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.set_filter_method writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.set_inversion_method writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.set_smoother_output writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.set_stability_method writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.simulate writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.simulation_smoother writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.smooth writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.start_params writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.state_names writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.summary writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.tolerance writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.transform_jacobian writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.transform_params writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.untransform_params writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQ.update writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.aic writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.aicc writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.append writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.apply writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.bic writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.bse writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.coefficients_of_determination writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.conf_int writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.cov_params writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.cov_params_approx writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.cov_params_oim writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.cov_params_opg writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.cov_params_robust writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.cov_params_robust_approx writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.cov_params_robust_oim writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.extend writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.f_test writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.factors writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.fittedvalues writing output... [ 79%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.forecast writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.get_coefficients_of_determination writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.get_forecast writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.get_prediction writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.get_smoothed_decomposition writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.hqic writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.impulse_responses writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.info_criteria writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.initialize writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.llf writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.llf_obs writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.load writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.loglikelihood_burn writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.mae writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.mse writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.news writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.normalized_cov_params writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.plot_coefficients_of_determination writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.plot_diagnostics writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.predict writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.pvalues writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.remove_data writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.resid writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.save writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.simulate writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.sse writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.states writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.summary writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.t_test writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.t_test_pairwise writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.test_heteroskedasticity writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.test_normality writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.test_serial_correlation writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.tvalues writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.use_t writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.wald_test writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.wald_test_terms writing output... [ 80%] generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.zvalues writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.clone writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.endog_names writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.exog_names writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.filter writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.fit writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.fit_constrained writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.fix_params writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.from_formula writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.handle_params writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.hessian writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.impulse_responses writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.information writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.initial_variance writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.initialization writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.initialize writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.initialize_approximate_diffuse writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.initialize_known writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.initialize_statespace writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.initialize_stationary writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.k_params writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.loglike writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.loglikelihood_burn writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.loglikeobs writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.observed_information_matrix writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.opg_information_matrix writing output... [ 80%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.param_names writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.predict writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.prepare_data writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.score writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.score_obs writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.set_conserve_memory writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.set_filter_method writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.set_inversion_method writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.set_smoother_output writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.set_stability_method writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.simulate writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.simulation_smoother writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.smooth writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.start_params writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.state_names writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.tolerance writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.transform_jacobian writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.transform_params writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.untransform_params writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothing.update writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.aic writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.aicc writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.append writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.apply writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.bic writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.bse writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.conf_int writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.cov_params writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.cov_params_approx writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.cov_params_oim writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.cov_params_opg writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.cov_params_robust writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.cov_params_robust_approx writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.cov_params_robust_oim writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.extend writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.f_test writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.fittedvalues writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.forecast writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.get_forecast writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.get_prediction writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.get_smoothed_decomposition writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.hqic writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.impulse_responses writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.info_criteria writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.initialize writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.llf writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.llf_obs writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.load writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.loglikelihood_burn writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.mae writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.mse writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.news writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.normalized_cov_params writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.plot_diagnostics writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.predict writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.pvalues writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.remove_data writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.resid writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.save writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.simulate writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.sse writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.states writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.summary writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.t_test writing output... [ 81%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.t_test_pairwise writing output... [ 82%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.test_heteroskedasticity writing output... [ 82%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.test_normality writing output... [ 82%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.test_serial_correlation writing output... [ 82%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.tvalues writing output... [ 82%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.use_t writing output... [ 82%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.wald_test writing output... [ 82%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.wald_test_terms writing output... [ 82%] generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.zvalues writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.FilterResults writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.FilterResults.kalman_gain writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.FilterResults.predict writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.FilterResults.standardized_forecasts_error writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.FilterResults.update_filter writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.FilterResults.update_representation writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.bind writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.clone writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.conserve_memory writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.design writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.diff_endog writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.dtype writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.endog writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.extend writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_augmented writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_chandrasekhar writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_collapsed writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_concentrated writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_conventional writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_exact_initial writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_extended writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_method writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_methods writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_square_root writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_timing writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_univariate writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.filter_unscented writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.fixed_scale writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.impulse_responses writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.initialize writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.initialize_approximate_diffuse writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.initialize_components writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.initialize_diffuse writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.initialize_known writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.initialize_stationary writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.inversion_method writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.inversion_methods writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.invert_cholesky writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.invert_lu writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.invert_univariate writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.loglike writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.loglikeobs writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_conserve writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_filtered writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_filtered_cov writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_filtered_mean writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_forecast writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_forecast_cov writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_forecast_mean writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_gain writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_likelihood writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_predicted writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_predicted_cov writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_predicted_mean writing output... [ 82%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_smoothing writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_no_std_forecast writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_options writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.memory_store_all writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.obs writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.obs_cov writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.obs_intercept writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.prefix writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.selection writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.set_conserve_memory writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.set_filter_method writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.set_filter_timing writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.set_inversion_method writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.set_stability_method writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.simulate writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.solve_cholesky writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.solve_lu writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.stability_force_symmetry writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.stability_method writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.stability_methods writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.state_cov writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.state_intercept writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.time_invariant writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.timing_init_filtered writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.timing_init_predicted writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.timing_options writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.KalmanFilter.transition writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.clear writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.filter_attributes writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.filtered_forecasts writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.filtered_forecasts_error_cov writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.filtered_signal writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.filtered_signal_cov writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.kalman_gain writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.predict writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.predicted_signal writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.predicted_signal_cov writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.representation_attributes writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.smoothed_forecasts writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.smoothed_forecasts_error_cov writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.smoothed_signal writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.smoothed_signal_cov writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.smoother_attributes writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.standardized_forecasts_error writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.update_filter writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_filter.PredictionResults.update_representation writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.bind writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.clone writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.conserve_memory writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.design writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.diff_endog writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.dtype writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.endog writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.extend writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_augmented writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_chandrasekhar writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_collapsed writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_concentrated writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_conventional writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_exact_initial writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_extended writing output... [ 83%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_method writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_methods writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_square_root writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_timing writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_univariate writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.filter_unscented writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.fixed_scale writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.impulse_responses writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.initialize writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.initialize_approximate_diffuse writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.initialize_components writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.initialize_diffuse writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.initialize_known writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.initialize_stationary writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.inversion_method writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.inversion_methods writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.invert_cholesky writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.invert_lu writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.invert_univariate writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.loglike writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.loglikeobs writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_conserve writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_filtered writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_filtered_cov writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_filtered_mean writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_forecast writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_forecast_cov writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_forecast_mean writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_gain writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_likelihood writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_predicted writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_predicted_cov writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_predicted_mean writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_smoothing writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_no_std_forecast writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_options writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.memory_store_all writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.obs writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.obs_cov writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.obs_intercept writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.prefix writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.selection writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.set_conserve_memory writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.set_filter_method writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.set_filter_timing writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.set_inversion_method writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.set_smooth_method writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.set_smoother_output writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.set_stability_method writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.simulate writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smooth writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smooth_alternative writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smooth_classical writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smooth_conventional writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smooth_method writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smooth_methods writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smooth_univariate writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smoother_all writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smoother_disturbance writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smoother_disturbance_cov writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smoother_output writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smoother_outputs writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smoother_state writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smoother_state_autocov writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.smoother_state_cov writing output... [ 84%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.solve_cholesky writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.solve_lu writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.stability_force_symmetry writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.stability_method writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.stability_methods writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.state_cov writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.state_intercept writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.time_invariant writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.timing_init_filtered writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.timing_init_predicted writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.timing_options writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.KalmanSmoother.transition writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.get_smoothed_decomposition writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.kalman_gain writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.news writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.predict writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.smoothed_forecasts writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.smoothed_forecasts_error writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.smoothed_forecasts_error_cov writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.smoothed_state_autocovariance writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.smoothed_state_gain writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.standardized_forecasts_error writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.update_filter writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.update_representation writing output... [ 85%] generated/statsmodels.tsa.statespace.kalman_smoother.SmootherResults.update_smoother writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.clone writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.endog_names writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.exog_names writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.filter writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.fit writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.fit_constrained writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.fix_params writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.from_formula writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.handle_params writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.hessian writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.impulse_responses writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.information writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.initial_variance writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.initialization writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.initialize writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.initialize_approximate_diffuse writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.initialize_known writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.initialize_statespace writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.initialize_stationary writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.loglike writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.loglikelihood_burn writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.loglikeobs writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.observed_information_matrix writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.opg_information_matrix writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.param_names writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.predict writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.prepare_data writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.score writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.score_obs writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.set_conserve_memory writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.set_filter_method writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.set_inversion_method writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.set_smoother_output writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.set_stability_method writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.simulate writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.simulation_smoother writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.smooth writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.start_params writing output... [ 85%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.state_names writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.tolerance writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.transform_jacobian writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.transform_params writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.untransform_params writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEModel.update writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.aic writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.aicc writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.append writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.apply writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.bic writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.bse writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.conf_int writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.cov_params writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.cov_params_approx writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.cov_params_oim writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.cov_params_opg writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.cov_params_robust writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.cov_params_robust_approx writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.cov_params_robust_oim writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.extend writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.f_test writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.fittedvalues writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.forecast writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.get_forecast writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.get_prediction writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.get_smoothed_decomposition writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.hqic writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.impulse_responses writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.info_criteria writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.initialize writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.llf writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.llf_obs writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.load writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.loglikelihood_burn writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.mae writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.mse writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.news writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.normalized_cov_params writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.plot_diagnostics writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.predict writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.pvalues writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.remove_data writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.resid writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.save writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.simulate writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.sse writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.states writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.summary writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.t_test writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.t_test_pairwise writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.test_heteroskedasticity writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.test_normality writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.test_serial_correlation writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.tvalues writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.use_t writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.wald_test writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.wald_test_terms writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.MLEResults.zvalues writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults.conf_int writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults.predicted_mean writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults.row_labels writing output... [ 86%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults.se_mean writing output... [ 87%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults.summary_frame writing output... [ 87%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults.t_test writing output... [ 87%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults.tvalues writing output... [ 87%] generated/statsmodels.tsa.statespace.mlemodel.PredictionResults.var_pred_mean writing output... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults writing output... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.data_revisions writing output... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.data_updates writing output... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.details_by_impact writing output... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.details_by_update writing output... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.get_details writing output... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.get_impacts writing output... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.impacted_variable writing output... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.impacts writing output... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.revision_details_by_impact writing output... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.revision_details_by_update writing output... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.summary writing output... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.summary_details writing output... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.summary_impacts writing output... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.summary_news writing output... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.summary_revisions writing output... [ 87%] generated/statsmodels.tsa.statespace.news.NewsResults.tolerance writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.FrozenRepresentation writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.FrozenRepresentation.update_representation writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.bind writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.clone writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.design writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.diff_endog writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.dtype writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.endog writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.extend writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.initialize writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.initialize_approximate_diffuse writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.initialize_components writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.initialize_diffuse writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.initialize_known writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.initialize_stationary writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.obs writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.obs_cov writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.obs_intercept writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.prefix writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.selection writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.state_cov writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.state_intercept writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.time_invariant writing output... [ 87%] generated/statsmodels.tsa.statespace.representation.Representation.transition writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.clone writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.endog_names writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.exog_names writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.filter writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.fit writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.fit_constrained writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.fix_params writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.from_formula writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.handle_params writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.hessian writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.impulse_responses writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.information writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initial_design writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initial_selection writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initial_state_intercept writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initial_transition writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initial_variance writing output... [ 87%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initialization writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initialize writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initialize_approximate_diffuse writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initialize_default writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initialize_known writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initialize_statespace writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.initialize_stationary writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.loglike writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.loglikelihood_burn writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.loglikeobs writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.model_latex_names writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.model_names writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.model_orders writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.observed_information_matrix writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.opg_information_matrix writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.param_names writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.param_terms writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.params_complete writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.predict writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.prepare_data writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.score writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.score_obs writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.set_conserve_memory writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.set_filter_method writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.set_inversion_method writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.set_smoother_output writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.set_stability_method writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.simulate writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.simulation_smoother writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.smooth writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.start_params writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.state_names writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.tolerance writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.transform_jacobian writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.transform_params writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.untransform_params writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAX.update writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.aic writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.aicc writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.append writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.apply writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.arfreq writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.arparams writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.arroots writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.bic writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.bse writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.conf_int writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.cov_params writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.cov_params_approx writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.cov_params_oim writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.cov_params_opg writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.cov_params_robust writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.cov_params_robust_approx writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.cov_params_robust_oim writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.extend writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.f_test writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.fittedvalues writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.forecast writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.get_forecast writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.get_prediction writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.get_smoothed_decomposition writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.hqic writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.impulse_responses writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.info_criteria writing output... [ 88%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.initialize writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.llf writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.llf_obs writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.load writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.loglikelihood_burn writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.mae writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.mafreq writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.maparams writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.maroots writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.mse writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.news writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.normalized_cov_params writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.plot_diagnostics writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.predict writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.pvalues writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.remove_data writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.resid writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.save writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.seasonalarparams writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.seasonalmaparams writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.simulate writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.sse writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.states writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.summary writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.t_test writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.t_test_pairwise writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.test_heteroskedasticity writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.test_normality writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.test_serial_correlation writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.tvalues writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.use_t writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.wald_test writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.wald_test_terms writing output... [ 89%] generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.zvalues writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.generated_measurement_disturbance writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.generated_obs writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.generated_state writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.generated_state_disturbance writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulate writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulate_all writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulate_disturbance writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulate_state writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulated_measurement_disturbance writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulated_state writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulated_state_disturbance writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoothResults.simulation_output writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.bind writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.clone writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.conserve_memory writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.design writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.diff_endog writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.dtype writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.endog writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.extend writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_augmented writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_chandrasekhar writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_collapsed writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_concentrated writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_conventional writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_exact_initial writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_extended writing output... [ 89%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_method writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_methods writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_square_root writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_timing writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_univariate writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.filter_unscented writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.fixed_scale writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.get_simulation_output writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.impulse_responses writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.initialize writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.initialize_approximate_diffuse writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.initialize_components writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.initialize_diffuse writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.initialize_known writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.initialize_stationary writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.inversion_method writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.inversion_methods writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.invert_cholesky writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.invert_lu writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.invert_univariate writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.loglike writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.loglikeobs writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_conserve writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_filtered writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_filtered_cov writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_filtered_mean writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_forecast writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_forecast_cov writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_forecast_mean writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_gain writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_likelihood writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_predicted writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_predicted_cov writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_predicted_mean writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_smoothing writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_no_std_forecast writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_options writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.memory_store_all writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.obs writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.obs_cov writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.obs_intercept writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.prefix writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.selection writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.set_conserve_memory writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.set_filter_method writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.set_filter_timing writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.set_inversion_method writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.set_smooth_method writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.set_smoother_output writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.set_stability_method writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.simulate writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.simulation_outputs writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.simulation_smoother writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.simulator writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smooth writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smooth_alternative writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smooth_classical writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smooth_conventional writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smooth_method writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smooth_methods writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smooth_univariate writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smoother_all writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smoother_disturbance writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smoother_disturbance_cov writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smoother_output writing output... [ 90%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smoother_outputs writing output... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smoother_state writing output... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smoother_state_autocov writing output... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.smoother_state_cov writing output... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.solve_cholesky writing output... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.solve_lu writing output... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.stability_force_symmetry writing output... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.stability_method writing output... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.stability_methods writing output... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.state_cov writing output... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.state_intercept writing output... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.time_invariant writing output... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.timing_init_filtered writing output... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.timing_init_predicted writing output... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.timing_options writing output... [ 91%] generated/statsmodels.tsa.statespace.simulation_smoother.SimulationSmoother.transition writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.clone writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.endog_names writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.exog_names writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.filter writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.fit writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.fit_constrained writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.fix_params writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.from_formula writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.handle_params writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.hessian writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.impulse_responses writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.information writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.initial_variance writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.initialization writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.initialize writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.initialize_approximate_diffuse writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.initialize_default writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.initialize_known writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.initialize_statespace writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.initialize_stationary writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.loglike writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.loglikelihood_burn writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.loglikeobs writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.observed_information_matrix writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.opg_information_matrix writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.param_names writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.predict writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.prepare_data writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.score writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.score_obs writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.set_conserve_memory writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.set_filter_method writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.set_inversion_method writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.set_smoother_output writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.set_stability_method writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.setup writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.simulate writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.simulation_smoother writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.smooth writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.start_params writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.state_names writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.tolerance writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.transform_jacobian writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.transform_params writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.untransform_params writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponents.update writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.aic writing output... [ 91%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.aicc writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.append writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.apply writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.autoregressive writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.bic writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.bse writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.conf_int writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.cov_params writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.cov_params_approx writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.cov_params_oim writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.cov_params_opg writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.cov_params_robust writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.cov_params_robust_approx writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.cov_params_robust_oim writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.cycle writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.extend writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.f_test writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.fittedvalues writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.forecast writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.freq_seasonal writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.get_forecast writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.get_prediction writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.get_smoothed_decomposition writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.hqic writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.impulse_responses writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.info_criteria writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.initialize writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.level writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.llf writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.llf_obs writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.load writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.loglikelihood_burn writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.mae writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.mse writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.news writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.normalized_cov_params writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.plot_components writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.plot_diagnostics writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.predict writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.pvalues writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.regression_coefficients writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.remove_data writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.resid writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.save writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.seasonal writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.simulate writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.sse writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.states writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.summary writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.t_test writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.t_test_pairwise writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.test_heteroskedasticity writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.test_normality writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.test_serial_correlation writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.trend writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.tvalues writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.use_t writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.wald_test writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.wald_test_terms writing output... [ 92%] generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.zvalues writing output... [ 92%] generated/statsmodels.tsa.statespace.tools.companion_matrix writing output... [ 92%] generated/statsmodels.tsa.statespace.tools.constrain_stationary_multivariate writing output... [ 92%] generated/statsmodels.tsa.statespace.tools.constrain_stationary_univariate writing output... [ 92%] generated/statsmodels.tsa.statespace.tools.diff writing output... [ 92%] generated/statsmodels.tsa.statespace.tools.is_invertible writing output... [ 93%] generated/statsmodels.tsa.statespace.tools.unconstrain_stationary_multivariate writing output... [ 93%] generated/statsmodels.tsa.statespace.tools.unconstrain_stationary_univariate writing output... [ 93%] generated/statsmodels.tsa.statespace.tools.validate_matrix_shape writing output... [ 93%] generated/statsmodels.tsa.statespace.tools.validate_vector_shape writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.clone writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.endog_names writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.exog_names writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.filter writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.fit writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.fit_constrained writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.fix_params writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.from_formula writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.handle_params writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.hessian writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.impulse_responses writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.information writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.initial_variance writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.initialization writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.initialize writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.initialize_approximate_diffuse writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.initialize_known writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.initialize_statespace writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.initialize_stationary writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.loglike writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.loglikelihood_burn writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.loglikeobs writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.observed_information_matrix writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.opg_information_matrix writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.param_names writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.predict writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.prepare_data writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.score writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.score_obs writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.set_conserve_memory writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.set_filter_method writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.set_inversion_method writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.set_smoother_output writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.set_stability_method writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.simulate writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.simulation_smoother writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.smooth writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.start_params writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.state_names writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.tolerance writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.transform_jacobian writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.transform_params writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.untransform_params writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAX.update writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.aic writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.aicc writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.append writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.apply writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.bic writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.bse writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.conf_int writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.cov_params writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.cov_params_approx writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.cov_params_oim writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.cov_params_opg writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.cov_params_robust writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.cov_params_robust_approx writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.cov_params_robust_oim writing output... [ 93%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.extend writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.f_test writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.fittedvalues writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.forecast writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.get_forecast writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.get_prediction writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.get_smoothed_decomposition writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.hqic writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.impulse_responses writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.info_criteria writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.initialize writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.llf writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.llf_obs writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.load writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.loglikelihood_burn writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.mae writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.mse writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.news writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.normalized_cov_params writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.plot_diagnostics writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.predict writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.pvalues writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.remove_data writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.resid writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.save writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.simulate writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.sse writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.states writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.summary writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.t_test writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.t_test_pairwise writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.test_heteroskedasticity writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.test_normality writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.test_serial_correlation writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.tvalues writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.use_t writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.wald_test writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.wald_test_terms writing output... [ 94%] generated/statsmodels.tsa.statespace.varmax.VARMAXResults.zvalues writing output... [ 94%] generated/statsmodels.tsa.stattools.acf writing output... [ 94%] generated/statsmodels.tsa.stattools.acovf writing output... [ 94%] generated/statsmodels.tsa.stattools.adfuller writing output... [ 94%] generated/statsmodels.tsa.stattools.arma_order_select_ic writing output... [ 94%] generated/statsmodels.tsa.stattools.bds writing output... [ 94%] generated/statsmodels.tsa.stattools.breakvar_heteroskedasticity_test writing output... [ 94%] generated/statsmodels.tsa.stattools.ccf writing output... [ 94%] generated/statsmodels.tsa.stattools.ccovf writing output... [ 94%] generated/statsmodels.tsa.stattools.coint writing output... [ 94%] generated/statsmodels.tsa.stattools.grangercausalitytests writing output... [ 94%] generated/statsmodels.tsa.stattools.innovations_algo writing output... [ 94%] generated/statsmodels.tsa.stattools.innovations_filter writing output... [ 94%] generated/statsmodels.tsa.stattools.kpss writing output... [ 94%] generated/statsmodels.tsa.stattools.levinson_durbin writing output... [ 94%] generated/statsmodels.tsa.stattools.levinson_durbin_pacf writing output... [ 94%] generated/statsmodels.tsa.stattools.pacf writing output... [ 94%] generated/statsmodels.tsa.stattools.pacf_burg writing output... [ 94%] generated/statsmodels.tsa.stattools.pacf_ols writing output... [ 94%] generated/statsmodels.tsa.stattools.pacf_yw writing output... [ 94%] generated/statsmodels.tsa.stattools.q_stat writing output... [ 94%] generated/statsmodels.tsa.stattools.range_unit_root_test writing output... [ 94%] generated/statsmodels.tsa.stattools.zivot_andrews writing output... [ 94%] generated/statsmodels.tsa.tsatools.add_lag writing output... [ 94%] generated/statsmodels.tsa.tsatools.add_trend writing output... [ 94%] generated/statsmodels.tsa.tsatools.detrend writing output... [ 94%] generated/statsmodels.tsa.tsatools.lagmat writing output... [ 94%] generated/statsmodels.tsa.tsatools.lagmat2ds writing output... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly writing output... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly.getisinvertible writing output... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly.getisstationary writing output... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly.hstack writing output... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly.hstackarma_minus1 writing output... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly.reduceform writing output... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly.stacksquare writing output... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly.vstack writing output... [ 95%] generated/statsmodels.tsa.varma_process.VarmaPoly.vstackarma_minus1 writing output... [ 95%] generated/statsmodels.tsa.vector_ar.hypothesis_test_results.CausalityTestResults writing output... [ 95%] generated/statsmodels.tsa.vector_ar.hypothesis_test_results.CausalityTestResults.summary writing output... [ 95%] generated/statsmodels.tsa.vector_ar.hypothesis_test_results.HypothesisTestResults writing output... [ 95%] generated/statsmodels.tsa.vector_ar.hypothesis_test_results.HypothesisTestResults.summary writing output... [ 95%] generated/statsmodels.tsa.vector_ar.hypothesis_test_results.NormalityTestResults writing output... [ 95%] generated/statsmodels.tsa.vector_ar.hypothesis_test_results.NormalityTestResults.summary writing output... [ 95%] generated/statsmodels.tsa.vector_ar.hypothesis_test_results.WhitenessTestResults writing output... [ 95%] generated/statsmodels.tsa.vector_ar.hypothesis_test_results.WhitenessTestResults.summary writing output... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis writing output... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.G writing output... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.H writing output... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.cov writing output... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.cum_effect_cov writing output... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.cum_effect_stderr writing output... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.cum_errband_mc writing output... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.err_band_sz1 writing output... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.err_band_sz2 writing output... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.err_band_sz3 writing output... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.errband_mc writing output... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.fevd_table writing output... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.lr_effect_cov writing output... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.lr_effect_stderr writing output... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.plot writing output... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.plot_cum_effects writing output... [ 95%] generated/statsmodels.tsa.vector_ar.irf.IRAnalysis.stderr writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.check_order writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.check_rank writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.endog_names writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.exog_names writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.fit writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.from_formula writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.hessian writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.information writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.initialize writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.loglike writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.predict writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.score writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVAR.y writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.acf writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.acorr writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.forecast writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.forecast_cov writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.forecast_interval writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.get_eq_index writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.intercept_longrun writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.is_stable writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.long_run_effects writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.ma_rep writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.mean writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.mse writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.orth_ma_rep writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.plot_acorr writing output... [ 95%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.plotsim writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.simulate_var writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.svar_ma_rep writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARProcess.to_vecm writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.acf writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.acorr writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.aic writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.bic writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.bse writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.cov_params writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.cov_ybar writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.detomega writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.df_model writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.df_resid writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.fevd writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.fittedvalues writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.forecast writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.forecast_cov writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.forecast_interval writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.fpe writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.get_eq_index writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.hqic writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.info_criteria writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.intercept_longrun writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.irf writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.irf_errband_mc writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.irf_resim writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.is_stable writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.llf writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.long_run_effects writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.ma_rep writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.mean writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.mse writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.orth_ma_rep writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.plot writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.plot_acorr writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.plot_forecast writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.plot_sample_acorr writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.plotsim writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.pvalues writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.pvalues_dt writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.pvalues_endog_lagged writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.reorder writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.resid writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.resid_acorr writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.resid_acov writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.resid_corr writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.roots writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.sample_acorr writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.sample_acov writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.sigma_u_mle writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.simulate_var writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.sirf_errband_mc writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.stderr writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.stderr_dt writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.stderr_endog_lagged writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.summary writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.svar_ma_rep writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.test_causality writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.test_inst_causality writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.test_normality writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.test_whiteness writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.to_vecm writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.tvalues writing output... [ 96%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.tvalues_dt writing output... [ 97%] generated/statsmodels.tsa.vector_ar.svar_model.SVARResults.tvalues_endog_lagged writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.FEVD writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.FEVD.cov writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.FEVD.plot writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.FEVD.summary writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.LagOrderResults writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.LagOrderResults.summary writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.endog_names writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.exog_names writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.fit writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.from_formula writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.hessian writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.information writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.initialize writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.loglike writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.predict writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.score writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.select_order writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VAR.y writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.acf writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.acorr writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.forecast writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.forecast_cov writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.forecast_interval writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.get_eq_index writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.intercept_longrun writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.is_stable writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.long_run_effects writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.ma_rep writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.mean writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.mse writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.orth_ma_rep writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.plot_acorr writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.plotsim writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.simulate_var writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARProcess.to_vecm writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.acf writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.acorr writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.aic writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.bic writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.bse writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.cov_params writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.cov_ybar writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.detomega writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.df_model writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.df_resid writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.fevd writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.fittedvalues writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.forecast writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.forecast_cov writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.forecast_interval writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.fpe writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.get_eq_index writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.hqic writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.info_criteria writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.intercept_longrun writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.irf writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.irf_errband_mc writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.irf_resim writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.is_stable writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.llf writing output... [ 97%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.long_run_effects writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.ma_rep writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.mean writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.mse writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.orth_ma_rep writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.plot writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.plot_acorr writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.plot_forecast writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.plot_sample_acorr writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.plotsim writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.pvalues writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.pvalues_dt writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.pvalues_endog_lagged writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.reorder writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.resid writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.resid_acorr writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.resid_acov writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.resid_corr writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.roots writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.sample_acorr writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.sample_acov writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.sigma_u_mle writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.simulate_var writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.stderr writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.stderr_dt writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.stderr_endog_lagged writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.summary writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.test_causality writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.test_inst_causality writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.test_normality writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.test_whiteness writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.to_vecm writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.tvalues writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.tvalues_dt writing output... [ 98%] generated/statsmodels.tsa.vector_ar.var_model.VARResults.tvalues_endog_lagged writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.CointRankResults writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.CointRankResults.summary writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.cvm writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.cvt writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.eig writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.evec writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.ind writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.lr1 writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.lr2 writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.max_eig_stat writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.max_eig_stat_crit_vals writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.meth writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.r0t writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.rkt writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.trace_stat writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.JohansenTestResult.trace_stat_crit_vals writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.endog_names writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.exog_names writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.fit writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.from_formula writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.hessian writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.information writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.initialize writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.loglike writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.predict writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECM.score writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults writing output... [ 98%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.conf_int_alpha writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.conf_int_beta writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.conf_int_det_coef writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.conf_int_det_coef_coint writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.conf_int_gamma writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.cov_params_default writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.cov_params_wo_det writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.cov_var_repr writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.fittedvalues writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.irf writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.llf writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.ma_rep writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.orth_ma_rep writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.plot_data writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.plot_forecast writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.predict writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_alpha writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_beta writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_det_coef writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_det_coef_coint writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.pvalues_gamma writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.resid writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_alpha writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_beta writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_coint writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_det_coef writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_det_coef_coint writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_gamma writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.stderr_params writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.summary writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.test_granger_causality writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.test_inst_causality writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.test_normality writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.test_whiteness writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_alpha writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_beta writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_det_coef writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_det_coef_coint writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.tvalues_gamma writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.VECMResults.var_rep writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.coint_johansen writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.select_coint_rank writing output... [ 99%] generated/statsmodels.tsa.vector_ar.vecm.select_order writing output... [ 99%] generated/statsmodels.tsa.x13.x13_arima_analysis writing output... [ 99%] generated/statsmodels.tsa.x13.x13_arima_select_order writing output... [ 99%] gettingstarted writing output... [ 99%] glm writing output... [ 99%] gmm writing output... [ 99%] graphics writing output... [ 99%] imputation writing output... [ 99%] index writing output... [ 99%] install writing output... [ 99%] iolib writing output... [ 99%] large_data writing output... [ 99%] miscmodels writing output... [ 99%] missing writing output... [ 99%] mixed_glm writing output... [ 99%] mixed_linear writing output... [ 99%] multivariate writing output... [ 99%] nonparametric writing output... [ 99%] optimization writing output... [ 99%] other_models writing output... [ 99%] pitfalls writing output... [ 99%] regression writing output... [ 99%] release/index writing output... [ 99%] release/old_changes writing output... [100%] release/version0.10 writing output... [100%] release/version0.10.1 writing output... [100%] release/version0.10.2 writing output... [100%] release/version0.11 writing output... [100%] release/version0.11.1 writing output... [100%] release/version0.12 writing output... [100%] release/version0.12.1 writing output... [100%] release/version0.13.0 writing output... [100%] release/version0.13.1 writing output... [100%] release/version0.13.2 writing output... [100%] release/version0.13.3 writing output... [100%] release/version0.13.4-5 writing output... [100%] release/version0.14.0 writing output... [100%] release/version0.14.1 writing output... [100%] release/version0.14.2 writing output... [100%] release/version0.14.3 writing output... [100%] release/version0.14.4 writing output... [100%] release/version0.14.5 writing output... [100%] release/version0.5 writing output... [100%] release/version0.6 writing output... [100%] release/version0.7 writing output... [100%] release/version0.8 writing output... [100%] release/version0.9 writing output... [100%] rlm writing output... [100%] rlm_techn1 writing output... [100%] sandbox writing output... [100%] statespace writing output... [100%] stats writing output... [100%] tools writing output... [100%] treatment writing output... [100%] tsa writing output... [100%] user-guide writing output... [100%] vector_ar /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:docstring of statsmodels.base.model.GenericLikelihoodModelResults.get_prediction:: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/git_notes.rst:213: WARNING: undefined label: 'pydagogue:actual-rebase' [ref.ref] WARNING: dot command 'dot' cannot be run (needed for graphviz output), check the graphviz_dot setting /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/maintainer_notes.rst:65: WARNING: undefined label: 'pydagogue:git-log-dots' [ref.ref] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/dev/maintainer_notes.rst:65: WARNING: undefined label: 'pydagogue:git-diff-dots' [ref.ref] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/count_model.py:docstring of statsmodels.discrete.count_model.ZeroInflatedResults.get_prediction:: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.count_model.ZeroInflatedGeneralizedPoissonResults.summary2.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/count_model.py:docstring of statsmodels.discrete.count_model.ZeroInflatedResults.get_prediction:: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.count_model.ZeroInflatedNegativeBinomialResults.summary2.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/count_model.py:docstring of statsmodels.discrete.count_model.ZeroInflatedResults.get_prediction:: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.count_model.ZeroInflatedPoissonResults.summary2.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.DiscreteResults.get_prediction:: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.discrete_model.BinaryResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.discrete_model.BinaryResults.summary2.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.DiscreteResults.get_prediction:: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.discrete_model.CountResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.discrete_model.CountResults.summary2.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.DiscreteResults.get_prediction:: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.discrete_model.DiscreteResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.discrete_model.DiscreteResults.summary2.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.DiscreteResults.get_prediction:: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.discrete_model.GeneralizedPoissonResults.summary2.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.DiscreteResults.get_prediction:: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.discrete_model.LogitResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.discrete_model.LogitResults.summary2.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.discrete_model.MultinomialResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.DiscreteResults.get_prediction:: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.discrete_model.NegativeBinomialResults.summary2.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.DiscreteResults.get_prediction:: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.discrete_model.ProbitResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.discrete_model.ProbitResults.summary2.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.DiscreteResults.get_prediction:: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.truncated_model.HurdleCountResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.truncated_model.HurdleCountResults.summary2.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.DiscreteResults.get_prediction:: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.truncated_model.TruncatedLFPoissonResults.summary2.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:docstring of statsmodels.discrete.discrete_model.DiscreteResults.get_prediction:: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.discrete.truncated_model.TruncatedNegativeBinomialResults.summary2.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:docstring of statsmodels.base.model.GenericLikelihoodModelResults.get_prediction:: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:docstring of statsmodels.base.model.GenericLikelihoodModelResults.get_prediction:: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.regression.linear_model.OLSResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.regression.linear_model.OLSResults.summary2.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.regression.linear_model.RegressionResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.regression.linear_model.RegressionResults.summary2.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:docstring of statsmodels.base.model.GenericLikelihoodModelResults.get_prediction:: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.regression.quantile_regression.QuantRegResults.summary2.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.regression.recursive_ls.RecursiveLSResults.get_forecast.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.regression.recursive_ls.RecursiveLSResults.get_prediction.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.sandbox.regression.gmm.IVRegressionResults.summary2.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.ar_model.AutoRegResults.diagnostic_summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.ar_model.AutoRegResults.get_prediction.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.ardl.ARDLResults.diagnostic_summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.ardl.ARDLResults.get_prediction.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.ardl.ARDLResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.ardl.UECMResults.diagnostic_summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.ardl.UECMResults.get_prediction.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.ardl.UECMResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.arima.model.ARIMAResults.get_forecast.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.arima.model.ARIMAResults.get_prediction.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.exponential_smoothing.ets.ETSResults.get_prediction.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.forecasting.stl.STLForecastResults.get_prediction.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/stl.py:docstring of statsmodels.tsa.forecasting.stl.STLForecastResults.summary:: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.forecasting.theta.ThetaModelResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.get_forecast.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.statespace.dynamic_factor.DynamicFactorResults.get_prediction.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.statespace.dynamic_factor_mq.DynamicFactorMQResults.get_forecast.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.get_forecast.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.statespace.exponential_smoothing.ExponentialSmoothingResults.get_prediction.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.statespace.news.NewsResults.summary.rst:4: WARNING: more than one target found for cross-reference 'Summary': statsmodels.iolib.summary.Summary, statsmodels.iolib.summary2.Summary [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.get_forecast.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.statespace.sarimax.SARIMAXResults.get_prediction.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.get_forecast.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.statespace.structural.UnobservedComponentsResults.get_prediction.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.statespace.varmax.VARMAXResults.get_forecast.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/generated/statsmodels.tsa.statespace.varmax.VARMAXResults.get_prediction.rst:4: WARNING: more than one target found for cross-reference 'PredictionResults': statsmodels.regression.linear_model.PredictionResults, statsmodels.regression._prediction.PredictionResults, statsmodels.tsa.base.prediction.PredictionResults, statsmodels.tsa.statespace.kalman_filter.PredictionResults, statsmodels.tsa.statespace.mlemodel.PredictionResults [ref.python] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/optimization.rst:12: WARNING: undefined label: 'glm' [ref.ref] /build/reproducible-path/statsmodels-0.14.5+dfsg/docs/source/release/version0.5.rst:42: WARNING: undefined label: 'anova' [ref.ref] generating indices... genindex py-modindex done copying linked files... copying notebooks ... [ 1%] examples/notebooks/generated/autoregressions.ipynb copying notebooks ... [ 3%] examples/notebooks/generated/autoregressive_distributed_lag.ipynb copying notebooks ... [ 4%] examples/notebooks/generated/categorical_interaction_plot.ipynb copying notebooks ... [ 5%] examples/notebooks/generated/chi2_fitting.ipynb copying notebooks ... [ 7%] examples/notebooks/generated/contrasts.ipynb copying notebooks ... [ 8%] examples/notebooks/generated/copula.ipynb copying notebooks ... [ 9%] examples/notebooks/generated/count_hurdle.ipynb copying notebooks ... [ 11%] examples/notebooks/generated/deterministics.ipynb copying notebooks ... [ 12%] examples/notebooks/generated/discrete_choice_example.ipynb copying notebooks ... [ 13%] examples/notebooks/generated/discrete_choice_overview.ipynb copying notebooks ... [ 14%] examples/notebooks/generated/distributed_estimation.ipynb copying notebooks ... [ 16%] examples/notebooks/generated/ets.ipynb copying notebooks ... [ 17%] examples/notebooks/generated/exponential_smoothing.ipynb copying notebooks ... [ 18%] examples/notebooks/generated/formulas.ipynb copying notebooks ... [ 20%] examples/notebooks/generated/gee_nested_simulation.ipynb copying notebooks ... [ 21%] examples/notebooks/generated/gee_score_test_simulation.ipynb copying notebooks ... [ 22%] examples/notebooks/generated/generic_mle.ipynb copying notebooks ... [ 24%] examples/notebooks/generated/glm.ipynb copying notebooks ... [ 25%] examples/notebooks/generated/glm_formula.ipynb copying notebooks ... [ 26%] examples/notebooks/generated/glm_weights.ipynb copying notebooks ... [ 28%] examples/notebooks/generated/gls.ipynb copying notebooks ... [ 29%] examples/notebooks/generated/influence_glm_logit.ipynb copying notebooks ... [ 30%] examples/notebooks/generated/interactions_anova.ipynb copying notebooks ... [ 32%] examples/notebooks/generated/kernel_density.ipynb copying notebooks ... [ 33%] examples/notebooks/generated/linear_regression_diagnostics_plots.ipynb copying notebooks ... [ 34%] examples/notebooks/generated/lowess.ipynb copying notebooks ... [ 36%] examples/notebooks/generated/markov_autoregression.ipynb copying notebooks ... [ 37%] examples/notebooks/generated/markov_regression.ipynb copying notebooks ... [ 38%] examples/notebooks/generated/mediation_survival.ipynb copying notebooks ... [ 39%] examples/notebooks/generated/metaanalysis1.ipynb copying notebooks ... [ 41%] examples/notebooks/generated/mixed_lm_example.ipynb copying notebooks ... [ 42%] examples/notebooks/generated/mstl_decomposition.ipynb copying notebooks ... [ 43%] examples/notebooks/generated/ols.ipynb copying notebooks ... [ 45%] examples/notebooks/generated/ordinal_regression.ipynb copying notebooks ... [ 46%] examples/notebooks/generated/pca_fertility_factors.ipynb copying notebooks ... [ 47%] examples/notebooks/generated/plots_boxplots.ipynb copying notebooks ... [ 49%] examples/notebooks/generated/postestimation_poisson.ipynb copying notebooks ... [ 50%] examples/notebooks/generated/predict.ipynb copying notebooks ... [ 51%] examples/notebooks/generated/quantile_regression.ipynb copying notebooks ... [ 53%] examples/notebooks/generated/quasibinomial.ipynb copying notebooks ... [ 54%] examples/notebooks/generated/recursive_ls.ipynb copying notebooks ... [ 55%] examples/notebooks/generated/regression_diagnostics.ipynb copying notebooks ... [ 57%] examples/notebooks/generated/regression_plots.ipynb copying notebooks ... [ 58%] examples/notebooks/generated/robust_models_0.ipynb copying notebooks ... [ 59%] examples/notebooks/generated/robust_models_1.ipynb copying notebooks ... [ 61%] examples/notebooks/generated/rolling_ls.ipynb copying notebooks ... [ 62%] examples/notebooks/generated/statespace_arma_0.ipynb copying notebooks ... [ 63%] examples/notebooks/generated/statespace_chandrasekhar.ipynb copying notebooks ... [ 64%] examples/notebooks/generated/statespace_concentrated_scale.ipynb copying notebooks ... [ 66%] examples/notebooks/generated/statespace_custom_models.ipynb copying notebooks ... [ 67%] examples/notebooks/generated/statespace_cycles.ipynb copying notebooks ... [ 68%] examples/notebooks/generated/statespace_dfm_coincident.ipynb copying notebooks ... [ 70%] examples/notebooks/generated/statespace_fixed_params.ipynb copying notebooks ... [ 71%] examples/notebooks/generated/statespace_forecasting.ipynb copying notebooks ... [ 72%] examples/notebooks/generated/statespace_local_linear_trend.ipynb copying notebooks ... [ 74%] examples/notebooks/generated/statespace_news.ipynb copying notebooks ... [ 75%] examples/notebooks/generated/statespace_sarimax_faq.ipynb copying notebooks ... [ 76%] examples/notebooks/generated/statespace_sarimax_internet.ipynb copying notebooks ... [ 78%] examples/notebooks/generated/statespace_sarimax_pymc3.ipynb copying notebooks ... [ 79%] examples/notebooks/generated/statespace_sarimax_stata.ipynb copying notebooks ... [ 80%] examples/notebooks/generated/statespace_seasonal.ipynb copying notebooks ... [ 82%] examples/notebooks/generated/statespace_structural_harvey_jaeger.ipynb copying notebooks ... [ 83%] examples/notebooks/generated/statespace_tvpvar_mcmc_cfa.ipynb copying notebooks ... [ 84%] examples/notebooks/generated/statespace_varmax.ipynb copying notebooks ... [ 86%] examples/notebooks/generated/stationarity_detrending_adf_kpss.ipynb copying notebooks ... [ 87%] examples/notebooks/generated/stats_poisson.ipynb copying notebooks ... [ 88%] examples/notebooks/generated/stats_rankcompare.ipynb copying notebooks ... [ 89%] examples/notebooks/generated/stl_decomposition.ipynb copying notebooks ... [ 91%] examples/notebooks/generated/theta-model.ipynb copying notebooks ... [ 92%] examples/notebooks/generated/treatment_effect.ipynb copying notebooks ... [ 93%] examples/notebooks/generated/tsa_arma_0.ipynb copying notebooks ... [ 95%] examples/notebooks/generated/tsa_arma_1.ipynb copying notebooks ... [ 96%] examples/notebooks/generated/tsa_dates.ipynb copying notebooks ... [ 97%] examples/notebooks/generated/tsa_filters.ipynb copying notebooks ... [ 99%] examples/notebooks/generated/variance_components.ipynb copying notebooks ... [100%] examples/notebooks/generated/wls.ipynb highlighting module code... [ 1%] statsmodels.__init__ highlighting module code... [ 1%] statsmodels.base._prediction_inference highlighting module code... [ 2%] statsmodels.base.distributed_estimation highlighting module code... [ 2%] statsmodels.base.elastic_net highlighting module code... [ 3%] statsmodels.base.model highlighting module code... [ 3%] statsmodels.base.optimizer highlighting module code... [ 4%] statsmodels.datasets.utils highlighting module code... [ 5%] statsmodels.discrete.conditional_models highlighting module code... [ 5%] statsmodels.discrete.count_model highlighting module code... [ 6%] statsmodels.discrete.discrete_model highlighting module code... [ 6%] statsmodels.discrete.truncated_model highlighting module code... [ 7%] statsmodels.distributions.copula.archimedean highlighting module code... [ 7%] statsmodels.distributions.copula.copulas highlighting module code... [ 8%] statsmodels.distributions.copula.elliptical highlighting module code... [ 9%] statsmodels.distributions.copula.extreme_value highlighting module code... [ 9%] statsmodels.distributions.copula.other_copulas highlighting module code... [ 10%] statsmodels.distributions.discrete highlighting module code... [ 10%] statsmodels.distributions.empirical_distribution highlighting module code... [ 11%] statsmodels.duration.hazard_regression highlighting module code... [ 11%] statsmodels.duration.survfunc highlighting module code... [ 12%] statsmodels.emplike.descriptive highlighting module code... [ 13%] statsmodels.gam.generalized_additive_model highlighting module code... [ 13%] statsmodels.gam.smooth_basis highlighting module code... [ 14%] statsmodels.genmod.bayes_mixed_glm highlighting module code... [ 14%] statsmodels.genmod.cov_struct highlighting module code... [ 15%] statsmodels.genmod.families.family highlighting module code... [ 15%] statsmodels.genmod.families.links highlighting module code... [ 16%] statsmodels.genmod.families.varfuncs highlighting module code... [ 17%] statsmodels.genmod.generalized_estimating_equations highlighting module code... [ 17%] statsmodels.genmod.generalized_linear_model highlighting module code... [ 18%] statsmodels.genmod.qif highlighting module code... [ 18%] statsmodels.graphics.agreement highlighting module code... [ 19%] statsmodels.graphics.boxplots highlighting module code... [ 19%] statsmodels.graphics.correlation highlighting module code... [ 20%] statsmodels.graphics.dotplots highlighting module code... [ 21%] statsmodels.graphics.factorplots highlighting module code... [ 21%] statsmodels.graphics.functional highlighting module code... [ 22%] statsmodels.graphics.gofplots highlighting module code... [ 22%] statsmodels.graphics.mosaicplot highlighting module code... [ 23%] statsmodels.graphics.plot_grids highlighting module code... [ 23%] statsmodels.graphics.regressionplots highlighting module code... [ 24%] statsmodels.graphics.tsaplots highlighting module code... [ 25%] statsmodels.imputation.bayes_mi highlighting module code... [ 25%] statsmodels.imputation.mice highlighting module code... [ 26%] statsmodels.iolib.foreign highlighting module code... [ 26%] statsmodels.iolib.smpickle highlighting module code... [ 27%] statsmodels.iolib.summary highlighting module code... [ 27%] statsmodels.iolib.summary2 highlighting module code... [ 28%] statsmodels.iolib.table highlighting module code... [ 29%] statsmodels.miscmodels.count highlighting module code... [ 29%] statsmodels.miscmodels.ordinal_model highlighting module code... [ 30%] statsmodels.miscmodels.tmodel highlighting module code... [ 30%] statsmodels.multivariate.cancorr highlighting module code... [ 31%] statsmodels.multivariate.factor highlighting module code... [ 31%] statsmodels.multivariate.factor_rotation._analytic_rotation highlighting module code... [ 32%] statsmodels.multivariate.factor_rotation._wrappers highlighting module code... [ 33%] statsmodels.multivariate.manova highlighting module code... [ 33%] statsmodels.multivariate.multivariate_ols highlighting module code... [ 34%] statsmodels.multivariate.pca highlighting module code... [ 34%] statsmodels.nonparametric._kernel_base highlighting module code... [ 35%] statsmodels.nonparametric.bandwidths highlighting module code... [ 35%] statsmodels.nonparametric.kde highlighting module code... [ 36%] statsmodels.nonparametric.kernel_density highlighting module code... [ 37%] statsmodels.nonparametric.kernel_regression highlighting module code... [ 37%] statsmodels.nonparametric.kernels_asymmetric highlighting module code... [ 38%] statsmodels.nonparametric.smoothers_lowess highlighting module code... [ 38%] statsmodels.othermod.betareg highlighting module code... [ 39%] statsmodels.regression._prediction highlighting module code... [ 39%] statsmodels.regression.dimred highlighting module code... [ 40%] statsmodels.regression.linear_model highlighting module code... [ 41%] statsmodels.regression.mixed_linear_model highlighting module code... [ 41%] statsmodels.regression.process_regression highlighting module code... [ 42%] statsmodels.regression.quantile_regression highlighting module code... [ 42%] statsmodels.regression.recursive_ls highlighting module code... [ 43%] statsmodels.regression.rolling highlighting module code... [ 43%] statsmodels.robust.norms highlighting module code... [ 44%] statsmodels.robust.robust_linear_model highlighting module code... [ 45%] statsmodels.robust.scale highlighting module code... [ 45%] statsmodels.sandbox.descstats highlighting module code... [ 46%] statsmodels.sandbox.distributions.extras highlighting module code... [ 46%] statsmodels.sandbox.distributions.transformed highlighting module code... [ 47%] statsmodels.sandbox.regression.anova_nistcertified highlighting module code... [ 47%] statsmodels.sandbox.regression.gmm highlighting module code... [ 48%] statsmodels.sandbox.regression.try_catdata highlighting module code... [ 49%] statsmodels.sandbox.regression.try_ols_anova highlighting module code... [ 49%] statsmodels.sandbox.stats.multicomp highlighting module code... [ 50%] statsmodels.sandbox.stats.runs highlighting module code... [ 50%] statsmodels.sandbox.sysreg highlighting module code... [ 51%] statsmodels.sandbox.tsa.fftarma highlighting module code... [ 51%] statsmodels.sandbox.tsa.movstat highlighting module code... [ 52%] statsmodels.stats._adnorm highlighting module code... [ 53%] statsmodels.stats._knockoff highlighting module code... [ 53%] statsmodels.stats._lilliefors highlighting module code... [ 54%] statsmodels.stats.anova highlighting module code... [ 54%] statsmodels.stats.contingency_tables highlighting module code... [ 55%] statsmodels.stats.contrast highlighting module code... [ 55%] statsmodels.stats.correlation_tools highlighting module code... [ 56%] statsmodels.stats.descriptivestats highlighting module code... [ 57%] statsmodels.stats.diagnostic highlighting module code... [ 57%] statsmodels.stats.dist_dependence_measures highlighting module code... [ 58%] statsmodels.stats.gof highlighting module code... [ 58%] statsmodels.stats.inter_rater highlighting module code... [ 59%] statsmodels.stats.knockoff_regeffects highlighting module code... [ 59%] statsmodels.stats.mediation highlighting module code... [ 60%] statsmodels.stats.meta_analysis highlighting module code... [ 61%] statsmodels.stats.moment_helpers highlighting module code... [ 61%] statsmodels.stats.multicomp highlighting module code... [ 62%] statsmodels.stats.multitest highlighting module code... [ 62%] statsmodels.stats.multivariate highlighting module code... [ 63%] statsmodels.stats.nonparametric highlighting module code... [ 63%] statsmodels.stats.oaxaca highlighting module code... [ 64%] statsmodels.stats.oneway highlighting module code... [ 65%] statsmodels.stats.outliers_influence highlighting module code... [ 65%] statsmodels.stats.power highlighting module code... [ 66%] statsmodels.stats.proportion highlighting module code... [ 66%] statsmodels.stats.rates highlighting module code... [ 67%] statsmodels.stats.regularized_covariance highlighting module code... [ 67%] statsmodels.stats.robust_compare highlighting module code... [ 68%] statsmodels.stats.sandwich_covariance highlighting module code... [ 69%] statsmodels.stats.stattools highlighting module code... [ 69%] statsmodels.stats.weightstats highlighting module code... [ 70%] statsmodels.tools.eval_measures highlighting module code... [ 70%] statsmodels.tools.numdiff highlighting module code... [ 71%] statsmodels.tools.print_version highlighting module code... [ 71%] statsmodels.tools.rng_qrng highlighting module code... [ 72%] statsmodels.tools.sm_exceptions highlighting module code... [ 73%] statsmodels.tools.tools highlighting module code... [ 73%] statsmodels.tools.web highlighting module code... [ 74%] statsmodels.treatment.treatment_effects highlighting module code... [ 74%] statsmodels.tsa._bds highlighting module code... [ 75%] statsmodels.tsa._innovations highlighting module code... [ 75%] statsmodels.tsa.ar_model highlighting module code... [ 76%] statsmodels.tsa.ardl.model highlighting module code... [ 77%] statsmodels.tsa.arima.model highlighting module code... [ 77%] statsmodels.tsa.arima_process highlighting module code... [ 78%] statsmodels.tsa.base.prediction highlighting module code... [ 78%] statsmodels.tsa.deterministic highlighting module code... [ 79%] statsmodels.tsa.exponential_smoothing.ets highlighting module code... [ 79%] statsmodels.tsa.filters.bk_filter highlighting module code... [ 80%] statsmodels.tsa.filters.cf_filter highlighting module code... [ 81%] statsmodels.tsa.filters.filtertools highlighting module code... [ 81%] statsmodels.tsa.filters.hp_filter highlighting module code... [ 82%] statsmodels.tsa.forecasting.stl highlighting module code... [ 82%] statsmodels.tsa.forecasting.theta highlighting module code... [ 83%] statsmodels.tsa.holtwinters.model highlighting module code... [ 83%] statsmodels.tsa.holtwinters.results highlighting module code... [ 84%] statsmodels.tsa.interp.denton highlighting module code... [ 85%] statsmodels.tsa.regime_switching.markov_autoregression highlighting module code... [ 85%] statsmodels.tsa.regime_switching.markov_regression highlighting module code... [ 86%] statsmodels.tsa.seasonal highlighting module code... [ 86%] statsmodels.tsa.statespace.cfa_simulation_smoother highlighting module code... [ 87%] statsmodels.tsa.statespace.dynamic_factor highlighting module code... [ 87%] statsmodels.tsa.statespace.dynamic_factor_mq highlighting module code... [ 88%] statsmodels.tsa.statespace.exponential_smoothing highlighting module code... [ 89%] statsmodels.tsa.statespace.kalman_filter highlighting module code... [ 89%] statsmodels.tsa.statespace.kalman_smoother highlighting module code... [ 90%] statsmodels.tsa.statespace.mlemodel highlighting module code... [ 90%] statsmodels.tsa.statespace.news highlighting module code... [ 91%] statsmodels.tsa.statespace.representation highlighting module code... [ 91%] statsmodels.tsa.statespace.sarimax highlighting module code... [ 92%] statsmodels.tsa.statespace.simulation_smoother highlighting module code... [ 93%] statsmodels.tsa.statespace.structural highlighting module code... [ 93%] statsmodels.tsa.statespace.tools highlighting module code... [ 94%] statsmodels.tsa.statespace.varmax highlighting module code... [ 94%] statsmodels.tsa.stattools highlighting module code... [ 95%] statsmodels.tsa.stl._stl highlighting module code... [ 95%] statsmodels.tsa.stl.mstl highlighting module code... [ 96%] statsmodels.tsa.tsatools highlighting module code... [ 97%] statsmodels.tsa.varma_process highlighting module code... [ 97%] statsmodels.tsa.vector_ar.hypothesis_test_results highlighting module code... [ 98%] statsmodels.tsa.vector_ar.irf highlighting module code... [ 98%] statsmodels.tsa.vector_ar.svar_model highlighting module code... [ 99%] statsmodels.tsa.vector_ar.var_model highlighting module code... [ 99%] statsmodels.tsa.vector_ar.vecm highlighting module code... [100%] statsmodels.tsa.x13 writing additional pages... search done copying images... [ 1%] images/statsmodels-logo-v2-horizontal.svg copying images... [ 1%] images/statsmodels-logo-v2.svg copying images... [ 2%] images/statsmodels-logo-v2-no-text.svg copying images... [ 2%] images/statsmodels-logo-v2-horizontal-dark.svg copying images... [ 3%] images/statsmodels-logo-v2-dark.svg copying images... [ 3%] images/statsmodels-logo-v2-no-text-dark.svg copying images... [ 4%] images/statsmodels-logo-v2-horizontal-light.svg copying images... [ 4%] images/statsmodels-logo-v2-light.svg copying images... [ 5%] images/statsmodels-logo-v2-no-text-light.svg copying images... [ 5%] dev/images/git_merge.png copying images... [ 6%] savefig/duration_survival_plot1.png copying images... [ 6%] savefig/duration_survival_nocensor_plot.png copying images... [ 7%] savefig/duration_survival_95ci_plot.png copying images... [ 7%] savefig/duration_survival_bysex_plot.png copying images... [ 8%] _static/images/ols.png copying images... [ 8%] _static/images/gls.png copying images... [ 9%] _static/images/quantile_regression.png copying images... [ 9%] _static/images/recursive_ls.png copying images... [ 10%] _static/images/rolling_ls.png copying images... [ 10%] _static/images/regression_diagnostics.png copying images... [ 11%] _static/images/wls.png copying images... [ 11%] _static/images/mixed_lm.png copying images... [ 12%] _static/images/variance_components.png copying images... [ 12%] _static/images/regression_plots.png copying images... [ 13%] _static/images/linear_regression_diagnostics_plots.png copying images... [ 13%] _static/images/categorical_interaction_plot.png copying images... [ 14%] _static/images/plots_boxplots.png copying images... [ 14%] _static/images/discrete_overview.png copying images... [ 15%] _static/images/fairs_data.png copying images... [ 15%] _static/images/ordered_model.png copying images... [ 16%] _static/images/count_hurdle.png copying images... [ 16%] _static/images/post_estimation.png copying images... [ 17%] _static/images/kde_overview.png copying images... [ 17%] _static/images/lowess.png copying images... [ 18%] _static/images/glm_overview.png copying images... [ 18%] _static/images/glm_formulas.png copying images... [ 19%] _static/images/glm_weights.png copying images... [ 19%] _static/images/influence_glm_logit.png copying images... [ 20%] _static/images/quasibinomial.png copying images... [ 20%] _static/images/rlm_overview.png copying images... [ 21%] _static/images/rlm.png copying images... [ 21%] _static/images/gee-cov-struct.png copying images... [ 22%] _static/images/gee-score-tests.png copying images... [ 22%] _static/images/anova.png copying images... [ 23%] _static/images/stats_poisson.png copying images... [ 23%] _static/images/rank_compare.png copying images... [ 24%] _static/images/metaanalysis1.png copying images... [ 24%] _static/images/mediation_survival.png copying images... [ 25%] _static/images/treatment_effect.png copying images... [ 25%] _static/images/copula.png copying images... [ 26%] _static/images/autoregressions.png copying images... [ 26%] _static/images/autoregressive_distributed_lag.png copying images... [ 27%] _static/images/deterministics.png copying images... [ 27%] _static/images/tsa_arma0.png copying images... [ 28%] _static/images/tsa_arma1.png copying images... [ 28%] _static/images/tsa_filters.png copying images... [ 29%] _static/images/markov_regression.png copying images... [ 29%] _static/images/markov_autoregression.png copying images... [ 30%] _static/images/exponential_smoothing.png copying images... [ 30%] _static/images/stl_decomposition.png copying images... [ 31%] _static/images/mstl_decomposition.png copying images... [ 31%] _static/images/stationarity_detrending_adf_kpss.png copying images... [ 32%] _static/images/statespace_sarimax_stata.png copying images... [ 32%] _static/images/statespace_sarimax_internet.png copying images... [ 33%] _static/images/statespace_sarimax_faq.png copying images... [ 34%] _static/images/statespace_varmax.png copying images... [ 34%] _static/images/statespace_dfm_coincident.png copying images... [ 35%] _static/images/statespace_structural_harvey_jaeger.png copying images... [ 35%] _static/images/statespace_cycles.png copying images... [ 36%] _static/images/statespace_local_linear_trend.png copying images... [ 36%] _static/images/statespace_arma0.png copying images... [ 37%] _static/images/statespace_seasonal.png copying images... [ 37%] _static/images/statespace_fixed_params.png copying images... [ 38%] _static/images/statespace_tvpvar_mcmc_cfa.png copying images... [ 38%] _static/images/statespace_sarimax_pymc3.png copying images... [ 39%] _static/images/statespace_news.png copying images... [ 39%] _static/images/statespace_custom_models.png copying images... [ 40%] _static/images/ets.png copying images... [ 40%] _static/images/statespace_concentrated_scale.png copying images... [ 41%] _static/images/statespace_chandrasekhar.png copying images... [ 41%] _static/images/theta-model.png copying images... [ 42%] _static/images/pca_fertility_factors.png copying images... [ 42%] _static/images/contrasts.png copying images... [ 43%] _static/images/formulas_intro.png copying images... [ 43%] _static/images/prediction.png copying images... [ 44%] _static/images/statespace_forecasting.png copying images... [ 44%] _static/images/generic_mle.png copying images... [ 45%] _static/images/tsa_dates.png copying images... [ 45%] _static/images/chi2_fitting.png copying images... [ 46%] _static/images/distributed_estimation.png copying images... [ 46%] ../build/doctrees/nbsphinx/examples_notebooks_generated_categorical_interaction_plot_4_0.png copying images... [ 47%] ../build/doctrees/nbsphinx/examples_notebooks_generated_copula_5_0.png copying images... [ 47%] ../build/doctrees/nbsphinx/examples_notebooks_generated_copula_7_1.png copying images... [ 48%] ../build/doctrees/nbsphinx/examples_notebooks_generated_copula_9_0.png copying images... [ 48%] ../build/doctrees/nbsphinx/examples_notebooks_generated_copula_11_0.png copying images... [ 49%] ../build/doctrees/nbsphinx/examples_notebooks_generated_count_hurdle_7_1.png copying images... [ 49%] ../build/doctrees/nbsphinx/examples_notebooks_generated_count_hurdle_10_1.png copying images... [ 50%] ../build/doctrees/nbsphinx/examples_notebooks_generated_discrete_choice_example_25_1.png copying images... [ 50%] ../build/doctrees/nbsphinx/examples_notebooks_generated_discrete_choice_example_26_1.png copying images... [ 51%] ../build/doctrees/nbsphinx/examples_notebooks_generated_discrete_choice_example_55_0.png copying images... [ 51%] ../build/doctrees/nbsphinx/examples_notebooks_generated_discrete_choice_example_58_1.png copying images... [ 52%] ../build/doctrees/nbsphinx/examples_notebooks_generated_discrete_choice_example_62_1.png copying images... [ 52%] ../build/doctrees/nbsphinx/examples_notebooks_generated_discrete_choice_example_64_0.png copying images... [ 53%] ../build/doctrees/nbsphinx/examples_notebooks_generated_ets_4_1.png copying images... [ 53%] ../build/doctrees/nbsphinx/examples_notebooks_generated_ets_6_1.png copying images... [ 54%] ../build/doctrees/nbsphinx/examples_notebooks_generated_ets_8_1.png copying images... [ 54%] ../build/doctrees/nbsphinx/examples_notebooks_generated_ets_13_1.png copying images... [ 55%] ../build/doctrees/nbsphinx/examples_notebooks_generated_ets_14_1.png copying images... [ 55%] ../build/doctrees/nbsphinx/examples_notebooks_generated_ets_21_2.png copying images... [ 56%] ../build/doctrees/nbsphinx/examples_notebooks_generated_influence_glm_logit_7_0.png copying images... [ 56%] ../build/doctrees/nbsphinx/examples_notebooks_generated_influence_glm_logit_8_0.png copying images... [ 57%] ../build/doctrees/nbsphinx/examples_notebooks_generated_influence_glm_logit_9_0.png copying images... [ 57%] ../build/doctrees/nbsphinx/examples_notebooks_generated_influence_glm_logit_10_0.png copying images... [ 58%] ../build/doctrees/nbsphinx/examples_notebooks_generated_influence_glm_logit_11_0.png copying images... [ 58%] ../build/doctrees/nbsphinx/examples_notebooks_generated_influence_glm_logit_12_0.png copying images... [ 59%] ../build/doctrees/nbsphinx/examples_notebooks_generated_kernel_density_7_0.png copying images... [ 59%] ../build/doctrees/nbsphinx/examples_notebooks_generated_kernel_density_12_0.png copying images... [ 60%] ../build/doctrees/nbsphinx/examples_notebooks_generated_kernel_density_16_0.png copying images... [ 60%] ../build/doctrees/nbsphinx/examples_notebooks_generated_kernel_density_21_0.png copying images... [ 61%] ../build/doctrees/nbsphinx/examples_notebooks_generated_kernel_density_24_0.png copying images... [ 61%] ../build/doctrees/nbsphinx/examples_notebooks_generated_kernel_density_28_0.png copying images... [ 62%] ../build/doctrees/nbsphinx/examples_notebooks_generated_kernel_density_34_0.png copying images... [ 62%] ../build/doctrees/nbsphinx/examples_notebooks_generated_kernel_density_36_0.png copying images... [ 63%] ../build/doctrees/nbsphinx/examples_notebooks_generated_metaanalysis1_13_0.png copying images... [ 63%] ../build/doctrees/nbsphinx/examples_notebooks_generated_metaanalysis1_16_1.png copying images... [ 64%] ../build/doctrees/nbsphinx/examples_notebooks_generated_metaanalysis1_20_2.png copying images... [ 64%] ../build/doctrees/nbsphinx/examples_notebooks_generated_metaanalysis1_21_2.png copying images... [ 65%] ../build/doctrees/nbsphinx/examples_notebooks_generated_metaanalysis1_28_1.png copying images... [ 65%] ../build/doctrees/nbsphinx/examples_notebooks_generated_metaanalysis1_31_1.png copying images... [ 66%] ../build/doctrees/nbsphinx/examples_notebooks_generated_metaanalysis1_32_1.png copying images... [ 66%] ../build/doctrees/nbsphinx/examples_notebooks_generated_mixed_lm_example_40_1.png copying images... [ 67%] ../build/doctrees/nbsphinx/examples_notebooks_generated_mixed_lm_example_42_0.png copying images... [ 68%] ../build/doctrees/nbsphinx/examples_notebooks_generated_stationarity_detrending_adf_kpss_8_1.png copying images... [ 68%] ../build/doctrees/nbsphinx/examples_notebooks_generated_stationarity_detrending_adf_kpss_20_1.png copying images... [ 69%] ../build/doctrees/nbsphinx/examples_notebooks_generated_tsa_arma_1_11_0.png copying images... [ 69%] ../build/doctrees/nbsphinx/examples_notebooks_generated_tsa_dates_12_0.png copying images... [ 70%] ../build/doctrees/nbsphinx/examples_notebooks_generated_tsa_filters_8_0.png copying images... [ 70%] ../build/doctrees/nbsphinx/examples_notebooks_generated_tsa_filters_13_0.png copying images... [ 71%] ../build/doctrees/nbsphinx/examples_notebooks_generated_tsa_filters_19_1.png copying images... [ 71%] ../build/doctrees/nbsphinx/examples_notebooks_generated_tsa_filters_26_1.png copying images... [ 72%] ../build/plot_directive/plots/graphics_regression_ceres_residuals.png copying images... [ 72%] ../build/plot_directive/plots/graphics-mean_diff_plot.png copying images... [ 73%] ../build/plot_directive/plots/graphics_boxplot_beanplot.png copying images... [ 73%] ../build/plot_directive/plots/graphics_boxplot_violinplot.png copying images... [ 74%] ../build/plot_directive/plots/graphics_correlation_plot_corr.png copying images... [ 74%] ../build/plot_directive/plots/graphics_correlation_plot_corr_grid.png copying images... [ 75%] ../build/plot_directive/generated/statsmodels-graphics-factorplots-interaction_plot-1.png copying images... [ 75%] ../build/plot_directive/plots/graphics_functional_fboxplot.png copying images... [ 76%] ../build/plot_directive/plots/graphics_functional_hdrboxplot_00_00.png copying images... [ 76%] ../build/plot_directive/plots/graphics_functional_rainbowplot.png copying images... [ 77%] ../build/plot_directive/plots/graphics_gofplots_qqplot_00.png copying images... [ 77%] ../build/plot_directive/plots/graphics_gofplots_qqplot_01.png copying images... [ 78%] ../build/plot_directive/plots/graphics_gofplots_qqplot_02.png copying images... [ 78%] ../build/plot_directive/plots/graphics_gofplots_qqplot_03.png copying images... [ 79%] ../build/plot_directive/plots/graphics_gofplots_qqplot_qqline.png copying images... [ 79%] ../build/plot_directive/plots/graphics_gofplots_qqplot_2samples.png copying images... [ 80%] ../build/plot_directive/plots/graphics_mosaicplot_mosaic_00_00.png copying images... [ 80%] ../build/plot_directive/plots/graphics_mosaicplot_mosaic_01_00.png copying images... [ 81%] ../build/plot_directive/plots/graphics_mosaicplot_mosaic_02_00.png copying images... [ 81%] ../build/plot_directive/plots/graphics_mosaicplot_mosaic_03_00.png copying images... [ 82%] ../build/plot_directive/plots/graphics_mosaicplot_mosaic_04_00.png copying images... [ 82%] ../build/plot_directive/plots/graphics_mosaicplot_mosaic_05_00.png copying images... [ 83%] ../build/plot_directive/plots/graphics_plot_grids_scatter_ellipse.png copying images... [ 83%] ../build/plot_directive/plots/graphics_regression_abline.png copying images... [ 84%] ../build/plot_directive/plots/graphics_regression_influence.png copying images... [ 84%] ../build/plot_directive/plots/graphics_regression_ccpr.png copying images... [ 85%] ../build/plot_directive/plots/graphics_regression_ccpr_grid.png copying images... [ 85%] ../build/plot_directive/plots/graphics_plot_fit_ex.png copying images... [ 86%] ../build/plot_directive/plots/graphics_regression_leverage_resid2.png copying images... [ 86%] ../build/plot_directive/plots/graphics_regression_partregress.png copying images... [ 87%] ../build/plot_directive/plots/graphics_regression_partregress_grid.png copying images... [ 87%] ../build/plot_directive/plots/graphics_regression_regress_exog.png copying images... [ 88%] ../build/plot_directive/plots/graphics_tsa_month_plot.png copying images... [ 88%] ../build/plot_directive/plots/graphics_tsa_plot_acf.png copying images... [ 89%] ../build/plot_directive/plots/graphics_tsa_plot_pacf.png copying images... [ 89%] ../build/plot_directive/plots/graphics_tsa_quarter_plot.png copying images... [ 90%] ../build/plot_directive/plots/bkf_plot.png copying images... [ 90%] ../build/plot_directive/plots/cff_plot.png copying images... [ 91%] ../build/plot_directive/plots/hpf_plot.png copying images... [ 91%] ../build/plot_directive/plots/mstl_plot.png copying images... [ 92%] ../build/plot_directive/plots/stl_plot.png copying images... [ 92%] savefig/gettingstarted_0.png copying images... [ 93%] ../build/plot_directive/release/version0-6-1.png copying images... [ 93%] images/aw.png copying images... [ 94%] images/hl.png copying images... [ 94%] images/ht.png copying images... [ 95%] images/ls.png copying images... [ 95%] images/re.png copying images... [ 96%] images/tm.png copying images... [ 96%] images/tk.png copying images... [ 97%] savefig/var_plot_input.png copying images... [ 97%] savefig/var_plot_acorr.png copying images... [ 98%] savefig/var_forecast.png copying images... [ 98%] savefig/var_irf.png copying images... [ 99%] savefig/var_realgdp.png copying images... [ 99%] savefig/var_irf_cum.png copying images... [100%] savefig/var_fevd.png dumping search index in English (code: en)... done dumping object inventory... done build succeeded, 491 warnings. The HTML pages are in build/html. make[2]: Leaving directory '/build/reproducible-path/statsmodels-0.14.5+dfsg/docs' mv docs/build/* build/ : # replace timestamps and build paths in examples output for reproducibility for html in `find build/html examples -name _modules -prune -o -name "*.html" -o -name "*.ipynb" -o -name "*.ipynb.txt"` ; do \ sed -i -e 's#/build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/[^/]*/build/statsmodels/#/usr/lib/python3/dist-packages/statsmodels/#g' \ -e 's# at 0x[0-9a-f]\{8,16\}\(>\|>\)# at 0xadde5de1e8ed\1#g' \ -e 's#tmp/ipykernel_[0-9]\+#tmp/ipykernel_nnnnnnn#g' \ -e 's#^\s\+.\(iopub.execute_input\|iopub.status.busy\|iopub.status.idle\|shell.execute_reply\).:.*# #g' \ -e 's#\(Date:.*\)[A-Z][a-z]\+, \+[0-9]\+,\? \+[A-Z][a-z]\+,\? \+[0-9]\+#\1Sun, 10 Aug 2025#g' \ -e 's#\(Time:.*\)[0-9][0-9]:[0-9][0-9]:[0-9][0-9]#\113:13:47#g' ${html} ; \ done sed: couldn't edit build/html/_modules: not a regular file rm -rf docs/source/generated/ make[1]: Leaving directory '/build/reproducible-path/statsmodels-0.14.5+dfsg' debian/rules override_dh_auto_test make[1]: Entering directory '/build/reproducible-path/statsmodels-0.14.5+dfsg' TEST_SUCCESS=true ; cd tools && for testpy3ver in `py3versions -vs` ; do \ for testpath in ../.pybuild/*${testpy3ver}*/*/statsmodels ; do \ PYTHONPATH=${testpath}/.. python${testpy3ver} -m pytest -v ${testpath} || TEST_SUCCESS=false ; \ rm -rf ${testpath}/.pytest_cache ; \ done ; done ; ${TEST_SUCCESS} ============================= test session starts ============================== platform linux -- Python 3.13.7, pytest-8.3.5, pluggy-1.6.0 -- /usr/bin/python3.13 cachedir: .pytest_cache rootdir: /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels configfile: setup.cfg plugins: typeguard-4.4.4, forked-1.6.0 collecting ... collected 17988 items ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays::test_orig PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays::test_endogexog PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays::test_attach PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays::test_names PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays::test_labels PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_orig PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_attach PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_names PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_labels PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays2dEndog::test_endogexog PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_endogexog PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_attach PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_names PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_labels PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrays1dExog::test_orig PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrames::test_names PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrames::test_labels PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrames::test_orig PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrames::test_endogexog PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrames::test_attach PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_names PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_labels PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_orig PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_endogexog PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFramesWithMultiIndex::test_attach PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestLists::test_orig PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestLists::test_endogexog PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestLists::test_attach PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestLists::test_names PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestLists::test_labels PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestListDataFrame::test_names PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestListDataFrame::test_labels PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestListDataFrame::test_attach PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestListDataFrame::test_endogexog PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestListDataFrame::test_orig PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameList::test_names PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameList::test_labels PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameList::test_attach PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameList::test_endogexog PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameList::test_orig PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_names PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_labels PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_attach PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_endogexog PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestArrayDataFrame::test_orig PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_names PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_labels PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_attach PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_endogexog PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestDataFrameArray::test_orig PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_names PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_labels PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_endogexog PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_attach PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesDataFrame::test_orig PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_names PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_labels PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_attach PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_orig PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestSeriesSeries::test_endogexog PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::test_alignment PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_orig PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_endogexog PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_names PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_labels PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsArrays::test_attach PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_names PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_labels PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_orig PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_endogexog PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMultipleEqsDataFrames::test_attach PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_raise_no_missing PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_raise PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_drop PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_none PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_endog_only_raise PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_endog_only_drop PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_mv_endog PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_extra_kwargs_2d PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingArray::test_extra_kwargs_1d PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingPandas::test_raise_no_missing PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingPandas::test_raise PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingPandas::test_drop PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingPandas::test_none PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingPandas::test_endog_only_raise PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingPandas::test_endog_only_drop PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingPandas::test_mv_endog PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestMissingPandas::test_labels PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestConstant::test_array_constant PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestConstant::test_pandas_constant PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestConstant::test_pandas_noconstant PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestConstant::test_array_noconstant PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestHandleMissing::test_pandas PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestHandleMissing::test_arrays PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestHandleMissing::test_pandas_array PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestHandleMissing::test_array_pandas PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestHandleMissing::test_noop PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestHasConstantOLS::test_hasconst PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestHasConstantGLM::test_hasconst PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::TestHasConstantLogit::test_hasconst PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::test_dtype_object PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::test_formula_missing_extra_arrays PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_data.py::test_raise_nonfinite_exog PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_calc_grad PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_calc_wdesign_mat PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_est_regularized_debiased PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_est_regularized_naive PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_est_unregularized_naive PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_join_debiased PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_join_naive PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_fit_sequential PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_fit_joblib PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_single_partition PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_larger_p PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_non_zero_params PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_repeat_partition PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_distributed_estimation.py::test_debiased_v_average PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_ttest_tvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_ftest_pvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_fitted PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_predict_types PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_zero_constrained PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLS::test_zero_collinear PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_ttest_tvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_ftest_pvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_fitted PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_predict_types PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_zero_collinear PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericOLSOneExog::test_zero_constrained SKIPPED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_ttest_tvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_ftest_pvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_fitted PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_predict_types PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_zero_constrained PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericWLS::test_zero_collinear PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_ttest_tvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_ftest_pvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_fitted SKIPPED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_predict_types PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_zero_constrained PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoisson::test_zero_collinear PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_ttest_tvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_ftest_pvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_fitted SKIPPED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_predict_types PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_zero_constrained PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericPoissonOffset::test_zero_collinear PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_ttest_tvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_ftest_pvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_fitted SKIPPED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_predict_types PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_zero_constrained PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericNegativeBinomial::test_zero_collinear PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericLogit::test_ttest_tvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericLogit::test_ftest_pvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericLogit::test_fitted SKIPPED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericLogit::test_predict_types PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericLogit::test_zero_constrained PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericLogit::test_zero_collinear PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericRLM::test_ttest_tvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericRLM::test_ftest_pvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericRLM::test_fitted PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericRLM::test_predict_types PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericRLM::test_zero_constrained PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericRLM::test_zero_collinear PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGLM::test_ttest_tvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGLM::test_ftest_pvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGLM::test_fitted SKIPPED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGLM::test_predict_types PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGLM::test_zero_constrained PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGLM::test_zero_collinear PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGLMPoissonOffset::test_ttest_tvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGLMPoissonOffset::test_ftest_pvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGLMPoissonOffset::test_fitted SKIPPED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGLMPoissonOffset::test_predict_types PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGLMPoissonOffset::test_zero_constrained PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGLMPoissonOffset::test_zero_collinear PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoisson::test_ttest_tvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoisson::test_ftest_pvalues PASSED [ 0%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoisson::test_fitted SKIPPED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoisson::test_predict_types PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoisson::test_zero_constrained SKIPPED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoisson::test_zero_collinear SKIPPED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonNaive::test_ttest_tvalues PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonNaive::test_ftest_pvalues PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonNaive::test_fitted SKIPPED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonNaive::test_predict_types PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonNaive::test_zero_constrained SKIPPED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonNaive::test_zero_collinear SKIPPED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonBC::test_ttest_tvalues PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonBC::test_ftest_pvalues PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonBC::test_fitted SKIPPED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonBC::test_predict_types PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonBC::test_zero_constrained SKIPPED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestGenericGEEPoissonBC::test_zero_collinear SKIPPED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaOLS::test_combined PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaOLS::test_categories PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaOLS::test_noformula PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaOLSF::test_combined PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaOLSF::test_categories PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaOLSF::test_predict_missing PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaGLM::test_combined PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaGLM::test_categories PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaPoisson::test_combined PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaPoisson::test_categories PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaNegBin::test_combined PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaNegBin::test_categories PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaNegBin1::test_combined PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestWaldAnovaNegBin1::test_categories PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestTTestPairwiseOLS::test_default PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestTTestPairwiseOLS::test_alpha PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestTTestPairwiseOLS2::test_default PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestTTestPairwiseOLS3::test_default PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestTTestPairwiseOLS4::test_default PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_generic_methods.py::TestTTestPairwisePoisson::test_default PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_optimize.py::test_full_output_false PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_optimize.py::test_full_output PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_optimize.py::test_minimize_scipy_slsqp PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_optimize.py::test_minimize_scipy_powell PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_optimize.py::test_minimize_scipy_nm PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonNonePenal::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonNonePenal::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonNonePenal::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonNonePenal::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonNoPenal::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonNoPenal::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonNoPenal::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonNoPenal::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonNoPenal::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonNoPenal::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonNoPenal::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonNoPenal::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracle::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracle::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracle::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracle::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonOracle::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonOracle::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonOracle::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonOracle::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracleHC::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracleHC::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracleHC::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracleHC::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOracleHC::test_cov_type PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonOracleHC::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonOracleHC::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonOracleHC::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMPoissonOracleHC::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonGLMOracleHC::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonGLMOracleHC::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonGLMOracleHC::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonGLMOracleHC::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2::test_zeros PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2HC::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2HC::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2HC::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2HC::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedPoissonOraclePenalized2HC::test_cov_type PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedLogitNoPenal::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedLogitNoPenal::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedLogitNoPenal::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedLogitNoPenal::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOracle::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOracle::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOracle::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOracle::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMLogitOracle::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMLogitOracle::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMLogitOracle::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMLogitOracle::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized2::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized2::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized2::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized2::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedLogitOraclePenalized2::test_zeros PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountNoPenal::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountNoPenal::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountNoPenal::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountNoPenal::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountNoPenal::test_deriv PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC2::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC2::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC2::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMBinomCountOracleHC2::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianOracleHC::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianOracleHC::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianOracleHC::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianOracleHC::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianOracleHC2::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianOracleHC2::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianOracleHC2::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianOracleHC2::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianL2::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianL2::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianL2::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianL2::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianL2Theil::test_summary PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianL2Theil::test_summary2 PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianL2Theil::test_numdiff PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalized.py::TestPenalizedGLMGaussianL2Theil::test_params_table PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestL2Constraints0::test_symmetry PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestL2Constraints0::test_derivatives PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestL2Constraints0::test_equivalence PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestL2Constraints1::test_symmetry PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestL2Constraints1::test_derivatives PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestL2Constraints1::test_values PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestSmoothedSCAD::test_symmetry PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestSmoothedSCAD::test_derivatives PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestPseudoHuber::test_symmetry PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestPseudoHuber::test_derivatives PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestPseudoHuber::test_backward_compatibility PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestPseudoHuber::test_deprecated_priority PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestPseudoHuber::test_weights_assignment PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestL2::test_symmetry PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestL2::test_derivatives PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestL2::test_backward_compatibility PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestL2::test_deprecated_priority PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestL2::test_weights_assignment PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestNonePenalty::test_symmetry PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_penalties.py::TestNonePenalty::test_derivatives PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_predict.py::TestPredictOLS::test_2d PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_predict.py::TestPredictOLS::test_1d PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_predict.py::TestPredictOLS::test_nopatsy PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_predict.py::TestPredictGLM::test_2d PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_predict.py::TestPredictGLM::test_1d PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_predict.py::TestPredictGLM::test_nopatsy PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_predict.py::TestPredictGLM::test_predict_offset PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_screening.py::test_poisson_screening PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_screening.py::test_screen_iterated PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_screening.py::test_glmpoisson_screening PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_screening.py::test_logit_screening PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_screening.py::test_glmlogit_screening PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_screening.py::test_glmgaussian_screening PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleOLS::test_remove_data_pickle PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleOLS::test_remove_data_docstring PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleOLS::test_pickle_wrapper PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleWLS::test_remove_data_pickle PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleWLS::test_remove_data_docstring PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleWLS::test_pickle_wrapper PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPicklePoisson::test_remove_data_pickle PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPicklePoisson::test_remove_data_docstring PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPicklePoisson::test_pickle_wrapper PASSED [ 1%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleNegativeBinomial::test_remove_data_pickle PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleNegativeBinomial::test_remove_data_docstring PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleNegativeBinomial::test_pickle_wrapper PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleLogit::test_remove_data_pickle PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleLogit::test_remove_data_docstring PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleLogit::test_pickle_wrapper PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleRLM::test_remove_data_pickle PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleRLM::test_remove_data_docstring PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleRLM::test_pickle_wrapper PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleGLM::test_remove_data_pickle PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleGLM::test_remove_data_docstring PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleGLM::test_pickle_wrapper PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleGLM::test_cached_data_removed PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleGLM::test_cached_values_evaluated PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleGLMConstrained::test_remove_data_pickle PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleGLMConstrained::test_remove_data_docstring PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPickleGLMConstrained::test_pickle_wrapper PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula::test_remove_data_pickle PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula::test_remove_data_docstring PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula::test_pickle_wrapper PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula2::test_remove_data_pickle PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula2::test_remove_data_docstring PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula2::test_pickle_wrapper PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula3::test_remove_data_pickle PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula3::test_remove_data_docstring PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula3::test_pickle_wrapper PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula4::test_remove_data_pickle PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula4::test_remove_data_docstring PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula4::test_pickle_wrapper PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula5::test_remove_data_pickle PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula5::test_remove_data_docstring PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestPickleFormula5::test_pickle_wrapper PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPicklePoissonRegularized::test_remove_data_pickle PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPicklePoissonRegularized::test_remove_data_docstring PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_shrink_pickle.py::TestRemoveDataPicklePoissonRegularized::test_pickle_wrapper PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_transform.py::TestTransform::test_nonpositive PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_transform.py::TestTransform::test_invalid_bounds PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_transform.py::TestTransform::test_unclear_methods PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_transform.py::TestTransform::test_unclear_scale_parameter PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_transform.py::TestTransform::test_valid_guerrero PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_transform.py::TestTransform::test_guerrero_robust_scale PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_transform.py::TestTransform::test_loglik_lambda_estimation PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_transform.py::TestTransform::test_boxcox_transformation_methods PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_transform.py::TestTransform::test_zero_lambda PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/tests/test_transform.py::TestTransform::test_naive_back_transformation PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/compat/tests/test_itercompat.py::test_zip_longest PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/compat/tests/test_itercompat.py::test_combinations PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/compat/tests/test_pandas.py::test_is_int_index[1-u] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/compat/tests/test_pandas.py::test_is_int_index[1-i] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/compat/tests/test_pandas.py::test_is_int_index[2-u] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/compat/tests/test_pandas.py::test_is_int_index[2-i] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/compat/tests/test_pandas.py::test_is_int_index[4-u] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/compat/tests/test_pandas.py::test_is_int_index[4-i] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/compat/tests/test_pandas.py::test_is_int_index[8-u] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/compat/tests/test_pandas.py::test_is_int_index[8-i] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/compat/tests/test_pandas.py::test_is_float_index[4] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/compat/tests/test_pandas.py::test_is_float_index[8] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/compat/tests/test_pandas.py::test_legacy_int_index SKIPPED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/compat/tests/test_pandas.py::test_legacy_float_index SKIPPED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/compat/tests/test_scipy_compat.py::test_next_regular PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[anes96] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[cancer] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[ccard] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[china_smoking] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[co2] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[committee] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[copper] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[cpunish] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[danish_data] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[elnino] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[engel] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[fair] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[fertility] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[grunfeld] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[heart] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[interest_inflation] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[longley] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[macrodata] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[modechoice] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[nile] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[randhie] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[scotland] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[spector] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[stackloss] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[star98] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[statecrime] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[strikes] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_data.py::test_dataset[sunspots] PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_utils.py::test_get_rdataset SKIPPED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_utils.py::test_get_rdataset_write_read_cache SKIPPED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_utils.py::test_webuse SKIPPED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/datasets/tests/test_utils.py::test_webuse_pandas SKIPPED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_conditional.py::test_logit_1d PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_conditional.py::test_logit_2d PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_conditional.py::test_formula PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_conditional.py::test_poisson_1d PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_conditional.py::test_poisson_2d PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_conditional.py::test_lasso_logistic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_conditional.py::test_lasso_poisson PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_conditional.py::test_conditional_mnlogit_grad PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_conditional.py::test_conditional_mnlogit_2d PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_conditional.py::test_conditional_mnlogit_3d PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1a::test_basic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1a::test_basic_method PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1a::test_other PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1a::test_summary PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1a::test_summary2 PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1b::test_basic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1b::test_basic_method PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1b::test_other PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1c::test_basic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1c::test_basic_method PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained1c::test_other PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonNoConstrained::test_basic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonNoConstrained::test_basic_method PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonNoConstrained::test_other PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2a::test_basic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2a::test_basic_method PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2a::test_other PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2b::test_basic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2b::test_basic_method PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2b::test_other PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2c::test_basic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2c::test_basic_method PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestPoissonConstrained2c::test_other PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMPoissonConstrained1a::test_basic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMPoissonConstrained1a::test_basic_method PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMPoissonConstrained1a::test_other PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMPoissonConstrained1b::test_basic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMPoissonConstrained1b::test_basic_method PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMPoissonConstrained1b::test_other PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMPoissonConstrained1b::test_compare_glm_poisson PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained1::test_basic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained1::test_basic_method PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained1::test_other PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained1::test_glm PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestLogitConstrained1::test_basic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestLogitConstrained1::test_basic_method PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestLogitConstrained1::test_other PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestLogitConstrained1::test_glm SKIPPED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2::test_basic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2::test_basic_method PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2::test_other PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2::test_glm PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2::test_predict PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2::test_summary PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2::test_summary2 PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2::test_fit_constrained_wrap PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2HC::test_basic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2HC::test_basic_method PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2HC::test_other PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestGLMLogitConstrained2HC::test_glm PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestLogitConstrained2HC::test_basic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestLogitConstrained2HC::test_basic_method PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestLogitConstrained2HC::test_other PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_constrained.py::TestLogitConstrained2HC::test_glm SKIPPED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized_invalid_method PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_params PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_llf PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_conf_int PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_bse PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_aic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_bic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_t PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_init_keys PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_null PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_summary PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized_invalid_method PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_params PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_llf PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_conf_int PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_bse PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_aic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_bic PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_t PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_init_keys PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_null PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_summary PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized PASSED [ 2%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized_invalid_method PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_params PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_llf PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_conf_int PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_bse PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_aic PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_bic PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_t PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_init_keys PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_null PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_summary PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_exposure PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized_invalid_method PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_params PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_llf PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_conf_int PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_bse PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_aic PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_bic PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_t PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_init_keys PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_null PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_summary PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_names PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedPoisson_predict::test_mean PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedPoisson_predict::test_var PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedPoisson_predict::test_predict_prob PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedPoisson_predict::test_predict_options PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_fit_regularized_invalid_method PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_params PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_llf PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_aic PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_fit_regularized PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_init_keys PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_null PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_summary PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_bse PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_conf_int PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_bic PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_t PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_minimize PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson_predict::test_mean PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson_predict::test_var PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson_predict::test_predict_prob PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized_invalid_method PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_llf PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_bse PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_aic PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_t PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_init_keys PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_null PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_summary PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_params PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_conf_int PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_bic PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_minimize PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_mean PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_var PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_predict_prob PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict::test_predict_generic_zi PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_mean PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_zero_nonzero_mean PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_count_model.py::TestPandasOffset::test_pd_offset_exposure PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_diagnostic.py::TestCountDiagnostic::test_count PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_diagnostic.py::TestCountDiagnostic::test_probs PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_diagnostic.py::TestPoissonDiagnosticClass::test_spec_tests PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_fit_regularized_invalid_method PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_params PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_conf_int PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_zstat PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_pvalues PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_cov_params PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llf PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llnull PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llr PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_llr_pvalue PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_normalized_cov_params XFAIL [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_bse PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_dof PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_aic PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_bic PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_predict PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_predict_xb PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_loglikeobs PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_jac PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_summary_latex PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_distr PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_pred_table PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_dev PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_generalized PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_resid_response PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNewton::test_init_kwargs PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_fit_regularized_invalid_method PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_params PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_conf_int PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_zstat PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_pvalues PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_cov_params PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llf PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llnull PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llr PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_llr_pvalue PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_normalized_cov_params XFAIL [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_bse PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_dof PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_aic PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_bic PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_predict PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_predict_xb PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_loglikeobs PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_jac PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_summary_latex PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_distr PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_pred_table PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_dev PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_generalized PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBFGS::test_resid_response PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_fit_regularized_invalid_method PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_params PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_conf_int PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_zstat PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_pvalues PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_cov_params PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llf PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llnull PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llr PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_llr_pvalue PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_normalized_cov_params XFAIL [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_bse PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_dof PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_aic PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_bic PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_predict PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_predict_xb PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_loglikeobs PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_jac PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_summary_latex PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_distr PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_pred_table PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_dev PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_generalized PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNM::test_resid_response PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_fit_regularized_invalid_method PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_params PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_conf_int PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_zstat PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_pvalues PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_cov_params PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llf PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llnull PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llr PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_llr_pvalue PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_normalized_cov_params XFAIL [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_bse PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_dof PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_aic PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_bic PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_predict PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_predict_xb PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_loglikeobs PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_jac PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_summary_latex PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_distr PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_pred_table PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_dev PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_generalized PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitPowell::test_resid_response PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_fit_regularized_invalid_method PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_params PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_conf_int PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_zstat PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_pvalues PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_cov_params PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llf PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llnull PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llr PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_llr_pvalue PASSED [ 3%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_normalized_cov_params XFAIL [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_bse PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_dof PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_aic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_bic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_predict PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_predict_xb PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_loglikeobs PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_jac PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_summary_latex PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_distr PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_pred_table PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_dev PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_generalized PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitCG::test_resid_response PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_fit_regularized_invalid_method PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_conf_int PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_zstat PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_pvalues PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_cov_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llf PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llnull PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llr PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_llr_pvalue PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_normalized_cov_params XFAIL [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_bse PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_dof PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_aic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_bic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_predict PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_predict_xb PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_loglikeobs PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_jac PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_summary_latex PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_distr PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_pred_table PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_dev PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_generalized PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitNCG::test_resid_response PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_fit_regularized_invalid_method PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_conf_int PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_zstat PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_pvalues PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_cov_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llf PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llnull PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llr PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_llr_pvalue PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_normalized_cov_params XFAIL [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_bse PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_dof PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_aic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_bic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_predict PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_predict_xb PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_loglikeobs PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_jac PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_summary_latex PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_distr PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_pred_table PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_dev PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_generalized PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitBasinhopping::test_resid_response PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_fit_regularized_invalid_method PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_conf_int PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_zstat PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_pvalues PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_cov_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llf PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llnull PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llr PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_llr_pvalue PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_normalized_cov_params XFAIL [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_bse PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_dof PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_aic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_bic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_predict PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_predict_xb PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_loglikeobs PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_jac PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_summary_latex PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_distr PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_pred_table PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_dev PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_generalized PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDefault::test_resid_response PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_fit_regularized_invalid_method PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_conf_int PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_zstat PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_pvalues PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_cov_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llf PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llnull PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llr PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_llr_pvalue PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_normalized_cov_params XFAIL [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_bse PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_dof PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_aic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_bic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_predict PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_predict_xb PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_loglikeobs PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_jac PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_summary_latex PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_distr PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_pred_table PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_dev PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_generalized PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeDogleg::test_resid_response PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_fit_regularized_invalid_method PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_conf_int PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_zstat PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_pvalues PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_cov_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llf PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llnull PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llr PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_llr_pvalue PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_normalized_cov_params XFAIL [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_bse PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_dof PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_aic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_bic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_predict PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_predict_xb PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_loglikeobs PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_jac PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_summary_latex PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_distr PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_pred_table PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_dev PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_generalized PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitMinimizeAdditionalOptions::test_resid_response PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_conf_int PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_bse PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_nnz_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_aic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_bic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1::test_cov_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_conf_int PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_bse PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_nnz_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_aic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1::test_bic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_conf_int PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_bse PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_nnz_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_aic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_bic PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1::test_cov_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestCVXOPT::test_cvxopt_versus_slsqp PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestSweepAlphaL1::test_sweep_alpha PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_cov_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_df PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_t_test PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_f_test PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_bad_r_matrix PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_cov_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_df PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_t_test PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_f_test PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialL1Compatability::test_bad_r_matrix PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_cov_params PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_df PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_t_test PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_f_test PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_bad_r_matrix PASSED [ 4%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_params PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_cov_params PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_df PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_t_test PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_f_test PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitL1Compatability::test_bad_r_matrix PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_params PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_cov_params PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_df PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_bad_r_matrix PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_t_test PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitL1Compatability::test_f_test SKIPPED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_params PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_cov_params PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_df PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_t_test PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_f_test PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestProbitL1Compatability::test_bad_r_matrix PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_basic_results PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_tests PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroLogit::test_converged PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroProbit::test_basic_results PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroProbit::test_tests PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestL1AlphaZeroMNLogit::test_basic_results PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxmedian PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dydxzero PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexmedian PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_dyexzero PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxmedian PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eydxzero PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexmedian PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_eyexzero PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_dydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_dydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_eydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_eydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dummy_dydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_count_dummy_dydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_fit_regularized_invalid_method PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_params PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_conf_int PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_zstat PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_pvalues PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_cov_params PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llf PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llnull PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llr PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_llr_pvalue PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_normalized_cov_params XFAIL [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_bse PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dof PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_aic PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_bic PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_predict PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_predict_xb PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_loglikeobs PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_jac PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_summary_latex PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_distr PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_pred_table PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_dev PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_generalized PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_response PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_resid_pearson PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_exog1 PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_nodummy_exog2 PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_exog1 PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_dummy_exog2 PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewton::test_diagnostic PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxmedian PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dydxzero PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexmedian PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_dyexzero PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxmedian PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eydxzero PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexmedian PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_eyexzero PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_dydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_dydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_eydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_eydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dummy_dydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_count_dummy_dydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_resid_pearson PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_exog1 PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_nodummy_exog2 PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_exog1 PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitNewtonPrepend::test_dummy_exog2 PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxmedian PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dydxzero PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexmedian PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_dyexzero PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxmedian PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eydxzero PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexmedian PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_nodummy_eyexzero PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_dydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_dydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_eydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dummy_eydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dummy_dydxoverall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_count_dummy_dydxmean PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_fit_regularized_invalid_method PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_params PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_conf_int PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_zstat PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_pvalues PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_cov_params PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llf PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llnull PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llr PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_llr_pvalue PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_normalized_cov_params XFAIL [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_bse PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_dof PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_aic PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_bic PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_predict PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_predict_xb PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_loglikeobs PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_jac PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_summary_latex PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_distr PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_pred_table PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_dev PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_generalized PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestLogitBFGS::test_resid_response PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_fit_regularized_invalid_method PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_params PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_conf_int PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_zstat PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_pvalues PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llf PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llnull PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llr PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_llr_pvalue PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_normalized_cov_params XFAIL [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_bse PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_dof PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_aic PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_bic PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict_xb PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_loglikeobs PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_jac PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_summary_latex PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_distr PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_margeff_overall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_margeff_dummy_overall PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_resid PASSED [ 5%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_predict_prob PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNewton::test_cov_params XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_fit_regularized_invalid_method PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_cov_params SKIPPED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llf PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llnull PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llr PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_llr_pvalue PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_normalized_cov_params XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_dof PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_aic PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_bic PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_loglikeobs PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_jac PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_summary_latex PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_distr PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_pvalues XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_bse PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_params PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_alpha PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_conf_int PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_zstat PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_fittedvalues PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_predict PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Newton::test_predict_xb PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_fit_regularized_invalid_method PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_cov_params SKIPPED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llf PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llnull PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llr PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_llr_pvalue PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_normalized_cov_params XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_bse PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_dof PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_aic PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_bic PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_loglikeobs PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_jac PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_summary_latex PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_distr PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_pvalues XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_zstat PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_lnalpha PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_params PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_conf_int PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_predict XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Newton::test_predict_xb XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_fit_regularized_invalid_method PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_cov_params SKIPPED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llf PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llnull PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llr PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_llr_pvalue PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_normalized_cov_params XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_dof PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_aic PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_bic PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_loglikeobs PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_jac PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_summary_latex PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_distr PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_pvalues XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_bse PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_params PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_alpha PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_conf_int PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_zstat PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_fittedvalues PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_predict PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2BFGS::test_predict_xb PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_fit_regularized_invalid_method PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_cov_params SKIPPED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llf PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llnull PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llr PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_llr_pvalue PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_normalized_cov_params XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_bse PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_dof PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_aic PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_bic PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_loglikeobs PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_jac PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_summary_latex PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_distr PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_pvalues XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_zstat PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_lnalpha PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_params PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_conf_int PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_predict XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1BFGS::test_predict_xb XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_fit_regularized_invalid_method PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_cov_params SKIPPED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llnull PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llr_pvalue PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_normalized_cov_params XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_dof PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_loglikeobs PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_jac PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_summary_latex PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_distr PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_pvalues XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_aic PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_bic PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_conf_int PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_fittedvalues PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_predict PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_params PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_predict_xb PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_zstat PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llf PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_llr PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialGeometricBFGS::test_bse PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_fit_regularized_invalid_method PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_params PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_conf_int PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_zstat PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_pvalues PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llf PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llnull PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llr PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_llr_pvalue PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_normalized_cov_params XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_bse PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_dof PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_aic PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_bic PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_predict PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_predict_xb PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_loglikeobs PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_jac PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_summary_latex PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_overall PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_mean PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_margeff_dummy PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_j PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_k PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_endog_names PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_pred_table PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_resid PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_cov_params XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitNewtonBaseZero::test_distr XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_fit_regularized_invalid_method PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_params PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_conf_int PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_zstat PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_pvalues PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llf PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llnull PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llr PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_llr_pvalue PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_normalized_cov_params XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_bse PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_dof PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_aic PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_bic PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_predict PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_predict_xb PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_loglikeobs PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_jac PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_summary_latex PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_overall PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_mean PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_margeff_dummy PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_j PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_k PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_endog_names PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_pred_table PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_resid PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_cov_params XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestMNLogitLBFGSBaseZero::test_distr XFAIL [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_basinhopping PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_perfect_prediction PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_poisson_predict PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_poisson_newton PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_issue_339 PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_issue_341 PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_negative_binomial_default_alpha_param PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_iscount PASSED [ 6%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_isdummy PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_non_binary PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_factor PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_factor_categorical PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_formula_missing_exposure PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_predict_with_exposure PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_binary_pred_table_zeros PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_bse PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_params PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_alpha PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_conf_int PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_aic PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_bic PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_df PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_llf PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_wald PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_t PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_jac PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p2::test_distr PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_bse PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_params PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_alpha PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_conf_int PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_aic PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_bic PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_df PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_transparams::test_llf PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_llf PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_score PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_hessian PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_t PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_init_kwds PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_distr PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_basic PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_newton PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_mean_var PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_predict_prob PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_jac PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoisson_underdispersion::test_distr PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_fit_regularized_invalid_method PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_cov_params SKIPPED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llf PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llnull PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llr PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_llr_pvalue PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_normalized_cov_params XFAIL [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_dof PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_aic PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_bic PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_loglikeobs PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_jac PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_summary_latex PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_distr PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_pvalues XFAIL [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_bse PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_params PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_alpha PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_conf_int PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_zstat PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_fittedvalues PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_predict PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2Newton::test_predict_xb PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_fit_regularized_invalid_method PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_cov_params SKIPPED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llf PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llnull PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llr PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_llr_pvalue PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_normalized_cov_params XFAIL [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_bse PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_dof PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_aic PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_bic PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_loglikeobs PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_jac PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_summary_latex PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_distr PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_pvalues XFAIL [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_zstat PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_lnalpha PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_params PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_conf_int PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_predict PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1Newton::test_predict_xb PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_fit_regularized_invalid_method PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_cov_params SKIPPED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llf PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llnull PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llr PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_llr_pvalue PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_normalized_cov_params XFAIL [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_dof PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_aic PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_bic PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_loglikeobs PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_jac PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_summary_latex PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_distr PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_pvalues XFAIL [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_bse PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_params PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_alpha PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_conf_int PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_zstat PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_fittedvalues PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_predict PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB2BFGS::test_predict_xb PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_fit_regularized_invalid_method PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_cov_params SKIPPED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llnull PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llr_pvalue PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_normalized_cov_params XFAIL [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_dof PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_loglikeobs PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_jac PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_summary_latex PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_distr PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_pvalues XFAIL [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_bse PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_aic PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_bic PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llf PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_llr PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_zstat PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_lnalpha PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_params PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_conf_int PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_predict PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_predict_xb PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPNB1BFGS::test_init_kwds PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_params PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_cov_params PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_df PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_t_test PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_f_test PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPL1Compatability::test_bad_r_matrix PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPPredictProb::test_predict_prob_p1 PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialPPredictProb::test_predict_prob_p2 PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestPoissonNull::test_llnull PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB1Null::test_llnull PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNB2Null::test_llnull PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP2Null::test_llnull PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP2Null::test_start_null PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP1Null::test_llnull PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestNegativeBinomialNBP1Null::test_start_null PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::TestGeneralizedPoissonNull::test_llnull PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_null_options PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_optim_kwds_prelim PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_unchanging_degrees_of_freedom PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_mnlogit_float_name PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_cov_confint_pandas PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_discrete.py::test_mlogit_t_test PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_margins.py::TestPoissonMargin::test_margins_table PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_margins.py::TestPoissonMarginDummy::test_margins_table PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_margins.py::TestNegBinMargin::test_margins_table PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_margins.py::TestNegBinMarginDummy::test_margins_table PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_margins.py::TestNegBinPMargin::test_margins_table PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_predict_linear PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_score_test PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_score_test_alpha PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_influence PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_basic PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_predict PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_diagnostic PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::TestZINegativeBinomialPPredict::test_basic PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::TestZINegativeBinomialPPredict::test_predict PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::TestZINegativeBinomialPPredict::test_diagnostic PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_predict_linear PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_score_test PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_score_test_alpha PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_influence PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::test_distr[case0] PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::test_distr[case1] PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::test_distr[case2] PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::test_distr[case3] PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::test_distr[case4] PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::test_distr[case5] PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::test_distr[case6] PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::test_distr[case7] PASSED [ 7%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::test_distr[case8] PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::test_distr[case9] PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::test_distr[case10] PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::test_distr[case11] PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::test_distr[case12] PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::test_distr[case13] PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_predict.py::test_distr[case14] PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonClu::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonClu::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonClu::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonClu::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluGeneric::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluGeneric::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluGeneric::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluGeneric::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Generic::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Generic::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Generic::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Generic::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluFit::test_basic_inference PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Fit::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Fit::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Fit::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1Fit::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1FitExposure::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1FitExposure::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1FitExposure::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonHC1FitExposure::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposure::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposure::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposure::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposure::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposureGeneric::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposureGeneric::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposureGeneric::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestPoissonCluExposureGeneric::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonClu::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonClu::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonClu::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonClu::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluGeneric::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluGeneric::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluGeneric::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluGeneric::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Generic::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Generic::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Generic::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Generic::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluFit::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluFit::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluFit::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonCluFit::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Fit::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Fit::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Fit::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoissonHC1Fit::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinClu::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinClu::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinClu::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinClu::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposure::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposure::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposure::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposure::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluGeneric::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluGeneric::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluGeneric::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluGeneric::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluFit::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluFit::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluFit::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluFit::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposureFit::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposureFit::test_oth PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposureFit::test_ttest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestNegbinCluExposureFit::test_waldtest PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoisson::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoisson::test_score_hessian PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoisson::test_score_test PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMPoisson::test_margeff PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogit::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogit::test_score_hessian PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogit::test_score_test PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogit::test_margeff PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogitOffset::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogitOffset::test_score_hessian PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogitOffset::test_score_test PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMLogitOffset::test_margeff SKIPPED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbit::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbit::test_score_test PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbit::test_margeff PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbit::test_score_hessian PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbitOffset::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbitOffset::test_score_hessian PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbitOffset::test_score_test PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMProbitOffset::test_margeff SKIPPED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussNonRobust::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussNonRobust::test_score_hessian PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussNonRobust::test_score_test PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussNonRobust::test_margeff SKIPPED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussClu::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussClu::test_score_hessian PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussClu::test_score_test PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussClu::test_margeff SKIPPED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHC::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHC::test_score_hessian PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHC::test_score_test PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHC::test_margeff SKIPPED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHAC::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHAC::test_score_hessian PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHAC::test_score_test PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHAC::test_margeff SKIPPED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHAC2::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHAC2::test_score_hessian PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHAC2::test_score_test PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHAC2::test_margeff SKIPPED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform::test_score_hessian PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform::test_score_test PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform::test_margeff SKIPPED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform::test_cov_options PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform2::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform2::test_score_hessian PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform2::test_score_test PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform2::test_margeff SKIPPED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACUniform2::test_cov_options PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanel::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanel::test_score_hessian PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanel::test_score_test PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanel::test_margeff SKIPPED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanel::test_kwd PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanelGroups::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanelGroups::test_score_hessian PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanelGroups::test_score_test PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACPanelGroups::test_margeff SKIPPED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACGroupsum::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACGroupsum::test_score_hessian PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACGroupsum::test_score_test PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACGroupsum::test_margeff SKIPPED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_sandwich_cov.py::TestGLMGaussHACGroupsum::test_kwd PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonModel::test_params PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonModel::test_llf PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonModel::test_conf_int PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonModel::test_bse PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonModel::test_aic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonModel::test_bic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonModel::test_fit_regularized XFAIL [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedLFPoissonModel::test_params PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedLFPoissonModel::test_llf PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedLFPoissonModel::test_conf_int PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedLFPoissonModel::test_bse PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedLFPoissonModel::test_aic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedLFPoissonModel::test_bic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedLFPoissonModel::test_fit_regularized XPASS [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_params PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_llf PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_bse PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_aic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_bic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_fit_regularized XPASS [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_conf_int PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoisson_predict::test_mean PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoisson_predict::test_var PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoisson_predict::test_predict_prob PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedNBP_predict::test_mean PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedNBP_predict::test_var PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedNBP_predict::test_predict_prob PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonSt::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonSt::test_predict PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoissonSt::test_offset PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedNegBinSt::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedNegBinSt::test_predict PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedNegBinSt::test_offset PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoisson1St::test_basic PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedLFPoisson1St::test_predict PASSED [ 8%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedNegBin1St::test_basic PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestTruncatedNegBin1St::test_predict PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestHurdlePoissonR::test_basic PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestHurdlePoissonR::test_predict PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestHurdleNegbinSimulated::test_basic PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/tests/test_truncated_model.py::TestHurdleNegbinSimulated::test_predict PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_bernstein.py::test_bernstein_distribution_1d PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_bernstein.py::test_bernstein_distribution_2d PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_bernstein.py::TestBernsteinBeta2d::test_basic PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_bernstein.py::TestBernsteinBeta2d::test_rvs PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_bernstein.py::TestBernsteinBeta2dd::test_basic PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_bernstein.py::TestBernsteinBeta2dd::test_rvs PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestGenpoisson_p::test_pmf_p1 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestGenpoisson_p::test_pmf_p2 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestGenpoisson_p::test_pmf_p5 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestGenpoisson_p::test_logpmf_p1 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestGenpoisson_p::test_logpmf_p2 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestTruncatedPoisson::test_pmf_zero PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestTruncatedPoisson::test_logpmf_zero PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestTruncatedPoisson::test_pmf PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestTruncatedPoisson::test_logpmf PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZIPoisson::test_pmf_zero PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZIPoisson::test_logpmf_zero PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZIPoisson::test_pmf PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZIPoisson::test_logpmf PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZIPoisson::test_cdf_zero PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZIPoisson::test_ppf_zero PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZIPoisson::test_mean_var PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZIPoisson::test_moments PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZIGeneralizedPoisson::test_pmf_zero PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZIGeneralizedPoisson::test_logpmf_zero PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZIGeneralizedPoisson::test_pmf PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZIGeneralizedPoisson::test_logpmf PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZIGeneralizedPoisson::test_mean_var PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_pmf_p2 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_logpmf_p2 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_cdf_p2 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_ppf_p2 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_mran_var_p2 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_moments_p2 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_pmf PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_logpmf PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_cdf PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_ppf PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_convert PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_mean_var PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestZiNBP::test_moments PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestDiscretizedGamma::test_basic PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestDiscretizedExponential::test_basic PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestDiscretizedLomax::test_basic PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestDiscretizedBurr12::test_basic PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestDiscretizedGammaEx::test_all PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestGeometric::test_all PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestTruncatedNBP::test_pmf_zero PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestTruncatedNBP::test_logpmf_zero PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestTruncatedNBP::test_pmf PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_discrete.py::TestTruncatedNBP::test_logpmf PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_ecdf.py::TestDistributions::test_StepFunction PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_ecdf.py::TestDistributions::test_StepFunctionBadShape PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_ecdf.py::TestDistributions::test_StepFunctionValueSideRight PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_ecdf.py::TestDistributions::test_StepFunctionRepeatedValues PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_ecdf.py::TestDistributions::test_monotone_fn_inverter PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_ecdf.py::TestDistributions::test_ecdf_discrete PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_edgeworth.py::TestFaaDiBruno::test_neg_arg PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_edgeworth.py::TestFaaDiBruno::test_small_vals PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_edgeworth.py::TestCumulants::test_badvalues PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_edgeworth.py::TestCumulants::test_norm PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_edgeworth.py::TestCumulants::test_chi2 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_edgeworth.py::TestExpandedNormal::test_too_few_cumulants PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_edgeworth.py::TestExpandedNormal::test_coefficients PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_edgeworth.py::TestExpandedNormal::test_normal PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_edgeworth.py::TestExpandedNormal::test_chi2_moments PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_edgeworth.py::TestExpandedNormal::test_pdf_no_roots PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_edgeworth.py::TestExpandedNormal::test_pdf_has_roots PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_mixture.py::TestMixtureDistributions::test_mixture_rvs_random PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_mixture.py::TestMixtureDistributions::test_mv_mixture_rvs_random PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_mixture.py::TestMixtureDistributions::test_mixture_pdf PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_mixture.py::TestMixtureDistributions::test_mixture_cdf PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_mixture.py::TestMixtureDistributions::test_mixture_rvs_fixed PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_mixture.py::TestMixtureDistributions::test_mv_mixture_rvs_fixed PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_tools.py::test_grid PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_tools.py::test_average_grid PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_tools.py::test_grid_class PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_tools.py::test_bernstein_1d PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/distributions/tests/test_tools.py::test_bernstein_2d PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::TestPHReg::test_missing PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::TestPHReg::test_formula PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::TestPHReg::test_formula_cat_interactions PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::TestPHReg::test_predict_formula PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::TestPHReg::test_formula_args PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::TestPHReg::test_offset PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::TestPHReg::test_post_estimation PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::TestPHReg::test_summary PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::TestPHReg::test_predict PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::TestPHReg::test_get_distribution PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::TestPHReg::test_fit_regularized PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_1.csv-breslow-False-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_1.csv-breslow-False-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_1.csv-breslow-True-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_1.csv-breslow-True-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_1.csv-efron-False-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_1.csv-efron-False-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_1.csv-efron-True-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_1.csv-efron-True-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_1000_10.csv-breslow-False-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_1000_10.csv-breslow-False-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_1000_10.csv-breslow-True-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_1000_10.csv-breslow-True-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_1000_10.csv-efron-False-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_1000_10.csv-efron-False-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_1000_10.csv-efron-True-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_1000_10.csv-efron-True-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_20_1.csv-breslow-False-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_20_1.csv-breslow-False-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_20_1.csv-breslow-True-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_20_1.csv-breslow-True-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_20_1.csv-efron-False-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_20_1.csv-efron-False-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_20_1.csv-efron-True-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_20_1.csv-efron-True-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_2.csv-breslow-False-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_2.csv-breslow-False-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_2.csv-breslow-True-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_2.csv-breslow-True-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_2.csv-efron-False-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_2.csv-efron-False-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_2.csv-efron-True-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_50_2.csv-efron-True-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_100_5.csv-breslow-False-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_100_5.csv-breslow-False-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_100_5.csv-breslow-True-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_100_5.csv-breslow-True-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_100_5.csv-efron-False-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_100_5.csv-efron-False-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_100_5.csv-efron-True-False] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_phreg.py::test_r[survival_data_100_5.csv-efron-True-True] PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_survfunc1 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_survfunc2 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_survdiff_basic PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_simultaneous_cb PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_bmt PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_survdiff PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_plot_km PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_weights1 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_weights2 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_incidence PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_survfunc_entry_1 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_survfunc_entry_2 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_survfunc_entry_3 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_survdiff_entry_1 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_survdiff_entry_2 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_survdiff_entry_3 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_incidence2 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_kernel_survfunc1 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_kernel_survfunc2 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_kernel_survfunc3 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_kernel_cumincidence1 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/duration/tests/test_survfunc.py::test_kernel_cumincidence2 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_aft.py::Test_AFTModel::test_params PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_aft.py::Test_AFTModel::test_beta0 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_aft.py::Test_AFTModel::test_beta1 PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_aft.py::Test_AFTModel::test_beta_vect PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_aft.py::Test_AFTModel::test_betaci PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_anova.py::TestANOVA::test_anova PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_test_mean PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_test_mean_weights PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_ci_mean PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_test_var PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_test_var_weights PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_ci_var PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_mv_test_mean PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_mv_test_mean_weights PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_test_skew PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_ci_skew PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_ci_skew_weights PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_test_kurt PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_ci_kurt PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_joint_skew_kurt PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_test_corr PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_ci_corr PASSED [ 9%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_descriptive.py::TestDescriptiveStatistics::test_test_corr_weights PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_origin.py::TestOrigin::test_params PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_origin.py::TestOrigin::test_llf PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_origin.py::TestOrigin::test_hypothesis_beta1 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_origin.py::TestOrigin::test_ci_beta PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_regression.py::TestRegressionPowell::test_hypothesis_beta0 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_regression.py::TestRegressionPowell::test_hypothesis_beta1 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_regression.py::TestRegressionPowell::test_hypothesis_beta2 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_regression.py::TestRegressionPowell::test_hypothesis_beta3 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_regression.py::TestRegressionPowell::test_ci_beta0 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_regression.py::TestRegressionPowell::test_ci_beta1 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_regression.py::TestRegressionPowell::test_ci_beta2 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_regression.py::TestRegressionPowell::test_ci_beta3 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_regression.py::TestRegressionNM::test_hypothesis_beta0 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_regression.py::TestRegressionNM::test_hypothesis_beta1 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_regression.py::TestRegressionNM::test_hypothesis_beta2 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_regression.py::TestRegressionNM::test_hypothesis_beta3 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_regression.py::TestRegressionNM::test_ci_beta0 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_regression.py::TestRegressionNM::test_ci_beta1 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_regression.py::TestRegressionNM::test_ci_beta2 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/emplike/tests/test_regression.py::TestRegressionNM::test_ci_beta3 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::TestFormulaPandas::test_endog_names PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::TestFormulaPandas::test_exog_names PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::TestFormulaPandas::test_design PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::TestFormulaPandas::test_endog PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::TestFormulaPandas::test_summary PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::TestFormulaDict::test_endog_names PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::TestFormulaDict::test_exog_names PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::TestFormulaDict::test_design PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::TestFormulaDict::test_endog PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::TestFormulaDict::test_summary PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::test_tests PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::test_formula_labels PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::test_formula_predict PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::test_formula_predict_series PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::test_patsy_lazy_dict PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::test_patsy_missing_data PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::test_predict_nondataframe PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::test_formula_environment PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/formula/tests/test_formula.py::test_formula_predict_series_exog PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_gam_penalty PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_gam_gradient PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_gam_hessian PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_approximation PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_gam_glm PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_gam_discrete PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_multivariate_penalty PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_generic_smoother PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_multivariate_gam_1d_data PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_multivariate_gam_cv PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_multivariate_gam_cv_path PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_train_test_smoothers PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_get_sqrt PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_make_augmented_matrix PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_penalized_wls PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_cyclic_cubic_splines PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_multivariate_cubic_splines PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_glm_pirls_compatibility PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_zero_penalty PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_spl_s PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_partial_values2 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_partial_values PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_partial_plot PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_gam.py::test_cov_params PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestTheilPLS5::test_params PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestTheilPLS5::test_fitted PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestTheilPLS5::test_cov_robust PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestTheilPLS5::test_null_smoke SKIPPED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGLMPenalizedPLS5::test_params PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGLMPenalizedPLS5::test_fitted PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGLMPenalizedPLS5::test_null_smoke PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAM5Pirls::test_params PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAM5Pirls::test_fitted PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAM5Pirls::test_null_smoke PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAM5Bfgs::test_params PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAM5Bfgs::test_fitted PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAM5Bfgs::test_null_smoke PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAM5Bfgs::test_predict PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAM6Pirls::test_fitted PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAM6Bfgs::test_fitted PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAM6Bfgs0::test_fitted PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAM6ExogBfgs::test_fitted PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAM6ExogBfgs::test_exog PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAM6ExogPirls::test_fitted PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAM6ExogPirls::test_exog PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPG::test_exog PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPG::test_fitted PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBS::test_params PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBS::test_fitted PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBS::test_null_smoke PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBS::test_edf PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBS::test_smooth PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBS::test_predict PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBS::test_crossval PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_params PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_fitted PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_null_smoke PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_edf PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_smooth PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_predict PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_wald PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoisson::test_select_alpha PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_params PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_fitted PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_null_smoke PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_edf PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_smooth PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_predict PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_wald PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_select_alpha PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_penalized.py::TestGAMMPGBSPoissonFormula::test_names_wrapper PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_smooth_basis.py::test_univariate_polynomial_smoother PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_smooth_basis.py::test_multivariate_polynomial_basis PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_smooth_basis.py::test_bsplines[x0-df0-degree0] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/gam/tests/test_smooth_basis.py::test_bsplines[x1-6-3] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[Poisson-links0] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[Gaussian-links1] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[Gamma-links2] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[Binomial-links3] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[InverseGaussian-links4] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[NegativeBinomial-links5] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_invalid_family_link[Tweedie-links6] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link[Poisson-links0] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link[Gaussian-links1] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link[Gamma-links2] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link[Binomial-links3] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link[InverseGaussian-links4] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link[NegativeBinomial-links5] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link[Tweedie-links6] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link_check[Poisson-links0] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link_check[Gaussian-links1] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link_check[Gamma-links2] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link_check[Binomial-links3] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link_check[InverseGaussian-links4] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link_check[NegativeBinomial-links5] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_family_link_check[Tweedie-links6] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_tweedie_loglike_obs[1.1] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_tweedie_loglike_obs[1.5] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_family.py::test_tweedie_loglike_obs[1.9] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_inverse PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_deriv PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_deriv2 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_inverse_deriv PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_inverse_deriv2 PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_invlogit_stability PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-__call__] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-deriv] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-inverse] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-inverse_deriv] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-deriv2] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link10-link20-inverse_deriv2] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-__call__] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-deriv] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-inverse] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-inverse_deriv] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-deriv2] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link11-link21-inverse_deriv2] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-__call__] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-deriv] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-inverse] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-inverse_deriv] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-deriv2] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link12-link22-inverse_deriv2] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link13-link23-__call__] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link13-link23-deriv] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link13-link23-inverse] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link13-link23-inverse_deriv] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link13-link23-deriv2] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link13-link23-inverse_deriv2] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-__call__] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-deriv] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-inverse] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-inverse_deriv] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-deriv2] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link14-link24-inverse_deriv2] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-__call__] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-deriv] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-inverse] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-inverse_deriv] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-deriv2] PASSED [ 10%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/tests/test_link.py::test_cdflink[link15-link25-inverse_deriv2] PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_simple_logit_map PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_simple_poisson_map PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_crossed_logit_map PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_crossed_poisson_map PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_logit_map_crossed_formula PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_elbo_grad PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_simple_logit_vb PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_simple_poisson_vb PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_crossed_logit_vb PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_crossed_logit_vb_formula PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_crossed_poisson_vb PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_poisson_formula PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_scale_vb PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_scale_map PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_bayes_mixed_glm.py::test_doc_examples PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffset::test_params PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffset::test_se PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffset::test_resid PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrained::test_params PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrained::test_se PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrained::test_resid PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffsetHC::test_params PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffsetHC::test_se PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianOffsetHC::test_resid PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrainedHC::test_params PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrainedHC::test_se PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMGaussianConstrainedHC::test_resid PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffset::test_params PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffset::test_se PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffset::test_resid PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrained::test_params PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrained::test_se PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrained::test_resid PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffsetHC::test_params PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffsetHC::test_se PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianOffsetHC::test_resid PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrainedHC::test_params PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrainedHC::test_se PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMWtdGaussianConstrainedHC::test_resid PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_params PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_se PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_resid PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_glm_attr PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrained::test_wald PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_params PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_se PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_resid PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_glm_attr PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_constrained.py::TestGLMBinomialCountConstrainedHC::test_wald PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_gaussian PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_gaussian_lists_tuples PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_logistic PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_multinomial PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nominal_plot PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_margins_poisson PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_multinomial PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_weighted PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_poisson_epil PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_missing PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_missing_formula PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-False] PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-True] PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-False] PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-True] PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_default_time PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_logistic PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_autoregressive PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_post_estimation PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_scoretest PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_score_test[Independence] PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_score_test[Exchangeable] PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_score_test_warnings PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_constraint_covtype PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_linear PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_linear_constrained PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nested_linear PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nested_pandas PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_ordinal PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_ordinal_formula PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_ordinal_independence PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nominal_independence PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_ordinal_plot PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_nominal PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_poisson PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_groups PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_OLS PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_formulas PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_logit PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_compare_poisson PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_predict PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_stationary_grid PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_stationary_nogrid PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_predict_exposure PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_predict_exposure_lists PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_offset_formula PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_sensitivity PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_equivalence PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEE::test_equivalence_from_pairs PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEEPoissonCovType::test_cov_type PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEEPoissonCovType::test_wrapper PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEEPoissonFormulaCovType::test_cov_type PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEEOrdinalCovType::test_cov_type PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEEOrdinalCovType::test_wrapper PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEEMultinomialCovType::test_cov_type PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::TestGEEMultinomialCovType::test_wrapper PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_regularized_poisson PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_regularized_gaussian PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_plots PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_missing PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_ql_known[Gaussian] PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_ql_known[Poisson] PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_ql_diff[Gaussian] PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_ql_diff[Binomial] PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_ql_diff[Poisson] PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_qic_warnings PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_quasipoisson[False] PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_quasipoisson[True] PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_grid_ar PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_unstructured_complete PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_unstructured_incomplete PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_ar_covsolve PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_ex_covsolve PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee.py::test_stationary_covsolve PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee_glm.py::TestCompareLogit::test_basic PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee_glm.py::TestCompareLogit::test_resid PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee_glm.py::TestComparePoisson::test_basic PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee_glm.py::TestComparePoisson::test_resid PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee_glm.py::TestCompareGaussian::test_basic PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee_glm.py::TestCompareGaussian::test_resid PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee_glm.py::TestCompareGamma::test_basic PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_gee_glm.py::TestCompareGamma::test_resid PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_params PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_standard_errors PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_residuals PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_aic_R PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_aic_Stata PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_deviance PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_scale PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_loglike PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_null_deviance PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_bic PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_degrees PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_fittedvalues PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_tpvalues PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_pearson_chi2 PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_prsquared PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_summary PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_summary2 PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_get_distribution PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussian::test_compare_OLS PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_params PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_standard_errors PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_residuals PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_aic_R PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_aic_Stata PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_deviance PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_scale PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_loglike PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_null_deviance PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_bic PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_degrees PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_fittedvalues PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_tpvalues PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_pearson_chi2 PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_prsquared PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_summary PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_summary2 PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_get_distribution PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGaussianGradient::test_compare_OLS PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_params PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_standard_errors PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_residuals PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_aic_R PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_aic_Stata PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_deviance PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_scale PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_loglike PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_null_deviance PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_bic PASSED [ 11%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_degrees PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_fittedvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_tpvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_pearson_chi2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_prsquared PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_summary PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_summary2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianLog::test_get_distribution PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_params PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_standard_errors PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_residuals PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_aic_R PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_aic_Stata PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_scale PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_loglike PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_null_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_bic PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_degrees PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_fittedvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_tpvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_pearson_chi2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_prsquared PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_summary PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_summary2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGaussianInverse::test_get_distribution PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_params PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_standard_errors PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_residuals PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_aic_R PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_aic_Stata PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_scale PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_loglike PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_null_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_bic PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_degrees PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_fittedvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_tpvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_pearson_chi2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_prsquared PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_summary PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_summary2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_get_distribution PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_endog_dtype PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_invalid_endog PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_invalid_endog_formula PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBinomial::test_get_distribution_binom_count PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_compare_discrete PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_score_test PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_get_prediction PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_params PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_standard_errors PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_residuals PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_aic_R PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_aic_Stata PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_scale PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_loglike PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_null_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_bic PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_degrees PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_fittedvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_tpvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_pearson_chi2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_prsquared PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_summary PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_summary2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_get_distribution PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmBernoulli::test_score_r PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_params PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_standard_errors PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_residuals PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_aic_R PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_aic_Stata PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_scale PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_loglike PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_null_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_bic PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_degrees PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_fittedvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_tpvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_pearson_chi2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_prsquared PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_summary PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_summary2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGamma::test_get_distribution PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_params PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_standard_errors PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_residuals PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_aic_R PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_aic_Stata PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_scale PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_loglike PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_null_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_bic PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_degrees PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_fittedvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_tpvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_pearson_chi2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_prsquared PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_summary PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_summary2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaLog::test_get_distribution PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_params PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_standard_errors PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_residuals PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_aic_R PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_aic_Stata PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_scale PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_loglike PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_null_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_bic PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_degrees PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_fittedvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_tpvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_pearson_chi2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_prsquared PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_summary PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_summary2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmGammaIdentity::test_get_distribution PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_compare_discrete PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_score_test PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_get_prediction PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_params PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_standard_errors PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_residuals PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_aic_R PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_aic_Stata PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_scale PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_loglike PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_null_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_bic PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_degrees PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_fittedvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_tpvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_pearson_chi2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_prsquared PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_summary PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_summary2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoisson::test_get_distribution PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_params PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_standard_errors PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_residuals PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_aic_R PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_aic_Stata PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_scale PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_loglike PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_null_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_bic PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_degrees PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_fittedvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_tpvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_pearson_chi2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_prsquared PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_summary PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_summary2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgauss::test_get_distribution PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_params PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_standard_errors PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_residuals PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_aic_R PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_aic_Stata PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_scale PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_loglike PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_null_deviance PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_bic PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_degrees PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_fittedvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_tpvalues PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_pearson_chi2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_prsquared PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_summary PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_summary2 PASSED [ 12%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussLog::test_get_distribution PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_params PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_standard_errors PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_residuals PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_aic_R PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_aic_Stata PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_scale PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_loglike PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_null_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_bic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_degrees PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_fittedvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_tpvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_pearson_chi2 PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_prsquared PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_summary PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_summary2 PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmInvgaussIdentity::test_get_distribution PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_params PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_standard_errors PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_residuals PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_aic_R PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_aic_Stata PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_scale PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_loglike PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_null_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_bic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_degrees PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_fittedvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_tpvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_pearson_chi2 PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_prsquared PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_summary PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_summary2 PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmNegbinomial::test_get_distribution PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_params PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_standard_errors PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_residuals PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_aic_R PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_aic_Stata PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_scale PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_loglike PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_null_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_bic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_degrees PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_fittedvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_tpvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_pearson_chi2 PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_prsquared PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_summary PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_summary2 PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_get_distribution PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_missing PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_offset_exposure PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestGlmPoissonOffset::test_predict PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_perfect_pred PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_score_test_ols PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_attribute_writable_resettable PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_params PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_standard_errors PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_residuals PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_aic_R PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_aic_Stata PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_scale PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_loglike PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_null_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_bic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_degrees PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_fittedvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_tpvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_pearson_chi2 PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_prsquared PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_summary PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_summary2 PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestStartParams::test_get_distribution PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_glm_start_params PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_loglike_no_opt PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_formula_missing_exposure PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_plots PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_summary PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_gradient_irls PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_gradient_irls_eim PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_glm_irls_method PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_params PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_standard_errors PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_aic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_scale PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_loglike PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_null_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_bic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_fittedvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoisson::test_tpvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_params PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_standard_errors PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_aic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_scale PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_loglike PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_null_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_bic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_fittedvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonNewton::test_tpvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_params PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_standard_errors PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_aic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_scale PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_loglike PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_null_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_bic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_fittedvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonHC0::test_tpvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_params PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_standard_errors PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_aic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_scale PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_loglike PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_null_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_bic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_fittedvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmPoissonClu::test_tpvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_params PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_standard_errors PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_aic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_scale PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_loglike PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_null_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_bic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_fittedvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmBinomial::test_tpvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_params PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_standard_errors PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_aic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_scale PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_loglike PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_null_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_bic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_fittedvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmNegativeBinomial::test_tpvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_params PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_standard_errors PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_aic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_scale PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_loglike PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_null_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_bic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_fittedvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGamma::test_tpvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_params PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_standard_errors PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_aic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_scale PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_loglike PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_null_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_bic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_fittedvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGaussian::test_tpvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_params PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_standard_errors PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_aic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_scale PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_loglike PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_null_deviance PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_bic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_fittedvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmInverseGaussian::test_tpvalues PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_params PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_standard_errors PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_aic PASSED [ 13%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_deviance PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_scale PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_loglike PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_null_deviance PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_bic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_fittedvalues PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_tpvalues PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaNewton::test_init_kwargs PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_params PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_standard_errors PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_aic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_deviance PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_scale PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_loglike PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_null_deviance PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_bic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_fittedvalues PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_X2::test_tpvalues PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_params PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_standard_errors PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_aic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_deviance PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_scale PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_loglike PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_null_deviance PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_bic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_fittedvalues PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_tpvalues PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdGlmGammaScale_dev::test_missing PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_params PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_standard_errors PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_aic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_deviance PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_scale PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_loglike PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_null_deviance PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_bic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_fittedvalues PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweedieLog::test_tpvalues PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_params PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_standard_errors PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_aic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_deviance PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_scale PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_loglike PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_null_deviance PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_bic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_fittedvalues PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower2::test_tpvalues PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_params PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_standard_errors PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_aic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_deviance PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_scale PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_loglike PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_null_deviance PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_bic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_fittedvalues PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestWtdTweediePower15::test_tpvalues PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_wtd_patsy_missing PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_resid PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_bse PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_params PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_deviance PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_df PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_fittedvalues PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower15::test_summary PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_resid PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_bse PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_params PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_deviance PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_df PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_fittedvalues PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweediePower2::test_summary PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_resid PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_bse PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_params PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_deviance PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_df PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_fittedvalues PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog1::test_summary PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_resid PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_bse PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_params PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_deviance PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_df PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_fittedvalues PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieLog15Fair::test_summary PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog0::test_mu PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog0::test_resid PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog1::test_mu PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog1::test_resid PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog2::test_mu PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog2::test_resid PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog3::test_mu PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestTweedieSpecialLog3::test_resid PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_tweedie_EQL PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_tweedie_elastic_net PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_tweedie_EQL_poisson_limit PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_tweedie_EQL_upper_limit PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::testTweediePowerEstimate PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_glm_lasso_6431 PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestRegularized::test_regularized PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_only PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_rtol_only PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_rtol PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_only_params PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_rtol_only_params PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::TestConvergence::test_convergence_atol_rtol_params PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_poisson_deviance PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_non_invertible_hessian_fails_summary PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_int_scale PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_int_exog[int8] PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_int_exog[int16] PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_int_exog[int32] PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_int_exog[int64] PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_glm_bic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_glm_bic_warning PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_output_exposure_null PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_qaic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm.py::test_tweedie_score PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_basic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_residuals PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_compare_optimizers PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_pearson_chi2 PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPlain::test_getprediction PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_basic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_residuals PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_compare_optimizers PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_pearson_chi2 PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwNr::test_getprediction PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_basic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_residuals PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_compare_optimizers PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_pearson_chi2 PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwNr::test_getprediction PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_residuals PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_pearson_chi2 PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_getprediction PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_basic XFAIL [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonPwNr::test_compare_optimizers XFAIL [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_basic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_residuals PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_compare_optimizers PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_pearson_chi2 PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwHC::test_getprediction PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_basic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_residuals PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_compare_optimizers PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_pearson_chi2 PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonAwHC::test_getprediction PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_basic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_residuals PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_compare_optimizers PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_pearson_chi2 PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmPoissonFwClu::test_getprediction PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_basic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_residuals PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_compare_optimizers PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_pearson_chi2 PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmTweedieAwNr::test_getprediction PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_basic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_residuals PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_compare_optimizers PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_pearson_chi2 PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_getprediction PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGammaAwNr::test_r_llf PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_basic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_residuals PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_compare_optimizers PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_pearson_chi2 PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_getprediction PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianAwNr::test_r_llf PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_wtd_gradient_irls PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_basic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_residuals PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_compare_optimizers PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_pearson_chi2 PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAggregated::test_getprediction PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_basic PASSED [ 14%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_residuals PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_compare_optimizers PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_pearson_chi2 PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestRepeatedvsAverage::test_getprediction PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_basic PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_residuals PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_compare_optimizers PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_pearson_chi2 PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAggregated::test_getprediction PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_basic PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_residuals PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_compare_optimizers PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_pearson_chi2 PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestTweedieRepeatedvsAverage::test_getprediction PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_basic PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_residuals PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_compare_optimizers PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_pearson_chi2 PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsAverage::test_getprediction PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_basic PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_residuals PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_compare_optimizers PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_pearson_chi2 PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomial0RepeatedvsDuplicated::test_getprediction PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_warnings_raised PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[list] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[ndarray] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_weights_different_formats[Series] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_basic PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_residuals PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_compare_optimizers PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_pearson_chi2 PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestBinomialVsVarWeights::test_getprediction PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_basic PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_residuals PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_compare_optimizers PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_pearson_chi2 PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::TestGlmGaussianWLS::test_getprediction PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_incompatible_input PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_glm_weights.py::test_poisson_residuals PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam0] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam1] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct0-fam2] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam0] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam1] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct1-fam2] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam0] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam1] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_numdiff[cov_struct2-fam2] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam0] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam1] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct0-fam2] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam0] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam1] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct1-fam2] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam0] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam1] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_qif_fit[cov_struct2-fam2] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct0] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct1] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_qif.py::test_formula[cov_struct2] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTest::test_wald_score PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTest::test_dispersion PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestDispersed::test_wald_score PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestDispersed::test_dispersion PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoisson::test_dispersion PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoisson::test_wald_score PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoissonDispersed::test_dispersion PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestPoissonDispersed::test_wald_score PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/tests/test_score_test.py::TestScoreTestGaussian::test_wald_score PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_agreement.py::test_mean_diff_plot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_violinplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_violinplot_bw_factor PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_beanplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_jitter PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_side_right PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_side_left PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_boxplots.py::test_beanplot_legend_text PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_correlation.py::test_plot_corr PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_correlation.py::test_plot_corr_grid PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_dotplot.py::test_all PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_both PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_rainbow PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_pandas[str] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plot_pandas[int] PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_formatting PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_formatting_errors PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_plottype PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_factorplots.py::TestInteractionPlot::test_recode_series PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_basic PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_basic_brute PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_plot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_alpha PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_multiple_alpha PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_threshold PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_bw PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_hdr_ncomp PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_banddepth_BD2 PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_banddepth_MBD PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_functional.py::test_fboxplot_rainbowplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_exceed PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_other_array PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_other_array PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_other_array XFAIL [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_other_prbplt PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_other_prbplt PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_other_prbplt XFAIL [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_custom_labels PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_custom_labels PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_custom_labels PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_qqplot_pltkwargs PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_ppplot_pltkwargs PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_probplot_pltkwargs PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyNoFit::test_fit_params PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_exceed PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_other_array PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_other_array PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_other_array XFAIL [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_other_prbplt PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_other_prbplt PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_other_prbplt XFAIL [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_custom_labels PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_custom_labels PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_custom_labels PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_qqplot_pltkwargs PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_ppplot_pltkwargs PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_probplot_pltkwargs PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotLongelyWithFit::test_fit_params PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_exceed PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_other_array PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_other_array PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_other_array XFAIL [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_other_prbplt PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_other_prbplt PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_other_prbplt XFAIL [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_custom_labels PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_custom_labels PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_custom_labels PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_qqplot_pltkwargs PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_ppplot_pltkwargs PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_probplot_pltkwargs PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalMinimal::test_fit_params PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_exceed PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_other_array PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_other_array PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_other_array XFAIL [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_other_prbplt PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_other_prbplt PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_other_prbplt XFAIL [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_custom_labels PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_custom_labels PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_custom_labels PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_qqplot_pltkwargs PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_ppplot_pltkwargs PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_probplot_pltkwargs PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalWithFit::test_fit_params PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_exceed PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_other_array PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_other_array PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_other_array XFAIL [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_other_prbplt PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_other_prbplt PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_other_prbplt XFAIL [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_custom_labels PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_custom_labels PASSED [ 15%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_custom_labels PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_qqplot_pltkwargs PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_ppplot_pltkwargs PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_probplot_pltkwargs PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_fit_params PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_loc_set PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_scale_set PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalFullDist::test_exceptions PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestCompareSamplesDifferentSize::test_qqplot PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestCompareSamplesDifferentSize::test_ppplot PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_exceed PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_other_array PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_other_array PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_other_array XFAIL [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_other_prbplt PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_other_prbplt PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_other_prbplt XFAIL [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_custom_labels PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_custom_labels PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_custom_labels PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_qqplot_pltkwargs PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_ppplot_pltkwargs PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_probplot_pltkwargs PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_fit_params PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_loc_set PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_scale_set PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_loc_set_in_dist PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestProbPlotRandomNormalLocScaleDist::test_scale_set_in_dist PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_pltkwargs PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_2samples_prob_plot_objects PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestTopLevel::test_qqplot_2samples_arrays PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_invalid_dist_config PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_qqplot_unequal PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestCheckDist::test_good PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestCheckDist::test_bad PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_baseline PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_with_ax PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_plot_full_options PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_baseline PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_full_options PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_plot_qq_line PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestDoPlot::test_step_qq_line PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_badline PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_x PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_y PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_non45_no_x_no_y PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45 PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45_fmt PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_45_fmt_lineoptions PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r_fmt PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_r_fmt_lineoptions PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_s PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_s_fmt PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_s_fmt_lineoptions PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_q PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_q_fmt PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestQQLine::test_q_fmt_lineoptions PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_weibull PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_lininterp PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_piecewise PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_approx_med_unbiased PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::TestPlottingPosition::test_cunnane PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_param_unpacking PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-30-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-30-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-50-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-30-50-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-30-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-30-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-50-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[None-50-50-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-30-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-30-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-50-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-30-50-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-50-30-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-50-30-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-50-50-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[45-50-50-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-30-30-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-30-30-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-30-50-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-30-50-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-50-30-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-50-30-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-50-50-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[s-50-50-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-30-30-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-30-30-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-30-50-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-30-50-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-50-30-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-50-30-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-50-50-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[r-50-50-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-30-30-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-30-30-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-30-50-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-30-50-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-50-30-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-50-30-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-50-50-labels0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_correct_labels[q-50-50-labels1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_gofplots.py::test_axis_order PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_data_conversion PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_mosaic_simple PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_mosaic PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_mosaic_very_complex PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_axes_labeling PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_mosaic_empty_cells PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_recursive_split PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test__reduce_dict PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test__key_splitting PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_proportion_normalization PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_false_split PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_rect_pure_split PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_rect_deformed_split PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_gap_split PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_default_arg_index PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_mosaicplot.py::test_missing_category PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlot::test_plot_fit PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlot::test_plot_oth PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlot::test_plot_influence PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlot::test_plot_leverage_resid2 PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotPandas::test_plot_fit PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotPandas::test_plot_oth PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotPandas::test_plot_influence PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotPandas::test_plot_leverage_resid2 PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_plot_fit PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_plot_oth PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_plot_influence PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_plot_leverage_resid2 PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPlotFormula::test_one_column_exog PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_model PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_model_ax PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_ab PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_ab_ax PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLine::test_abline_remove PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_model PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_model_ax PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_ab PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_ab_ax PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestABLinePandas::test_abline_remove PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestAddedVariablePlot::test_added_variable_ols PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestAddedVariablePlot::test_added_variable_poisson PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestPartialResidualPlot::test_partial_residual_poisson PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::TestCERESPlot::test_ceres_poisson PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_regressionplots.py::test_partregress_formula_env PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_acf PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_acf_irregular PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_pacf PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_pacf_kwargs PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_acf_kwargs PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_acf_missing PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_pacf_irregular PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_ccf PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_accf_grid PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_month XFAIL [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_quarter PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_seasonal_plot PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[None-True-model_and_args0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[None-True-model_and_args1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[None-False-model_and_args0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[None-False-model_and_args1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[0.1-True-model_and_args0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[0.1-True-model_and_args1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[0.1-False-model_and_args0] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_predict_plot[0.1-False-model_and_args1] PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/graphics/tests/test_tsaplots.py::test_plot_pacf_small_sample PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_bayes_mi.py::test_pat PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_bayes_mi.py::test_2x2 PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_bayes_mi.py::test_MI PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_bayes_mi.py::test_MI_stat PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_bayes_mi.py::test_mi_formula PASSED [ 16%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_default PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_settingwithcopywarning PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_next_sample PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_pertmeth PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_phreg PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_set_imputer PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_plot_missing_pattern PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_plot_bivariate PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_fit_obs PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICEData::test_plot_imputed_hist PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE1 PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE1_regularized PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_mice.py::TestMICE::test_MICE2 PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_mice.py::test_micedata_miss1 PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_sort::test_baseline PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_sort::test_censored_greater_than_max PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_cohn_numbers::test_baseline PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_cohn_numbers::test_no_NDs PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__detection_limit_index::test_empty PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__detection_limit_index::test_populated PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__detection_limit_index::test_out_of_bounds PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::test__ros_group_rank PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_plot_pos::test_uncensored_1 PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_plot_pos::test_uncensored_2 PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_plot_pos::test_censored_1 PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test__ros_plot_pos::test_censored_2 PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::test__norm_plot_pos PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::test_plotting_positions PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::test__impute PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::test__do_ros PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselAppendixB::test_ros_df PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselAppendixB::test_ros_arrays PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselAppendixB::test_cohn PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselArsenic::test_ros_df PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselArsenic::test_ros_arrays PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_HelselArsenic::test_cohn PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_RNADAdata::test_ros_df PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_RNADAdata::test_ros_arrays PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_RNADAdata::test_cohn PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_NoOp_ZeroND::test_ros_df PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_NoOp_ZeroND::test_ros_arrays PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_NoOp_ZeroND::test_cohn PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_OneND::test_ros_df PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_OneND::test_ros_arrays PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_OneND::test_cohn PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_HalfDLs_80pctNDs::test_ros_df PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_HalfDLs_80pctNDs::test_ros_arrays PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_HalfDLs_80pctNDs::test_cohn PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_HaflDLs_OneUncensored::test_ros_df PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_HaflDLs_OneUncensored::test_ros_arrays PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_HaflDLs_OneUncensored::test_cohn PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_MaxCen_GT_MaxUncen::test_ros_df PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_MaxCen_GT_MaxUncen::test_ros_arrays PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_MaxCen_GT_MaxUncen::test_cohn PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_OnlyDL_GT_MaxUncen::test_ros_df PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_OnlyDL_GT_MaxUncen::test_ros_arrays PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/imputation/tests/test_ros.py::Test_ROS_OnlyDL_GT_MaxUncen::test_cohn PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_pickle.py::test_pickle PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_pickle.py::test_pickle_supports_open PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_summary.py::test_escaped_variable_name PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_summary.py::test_wrong_len_xname PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_summary.py::TestSummaryLatex::test__repr_latex_ PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_summarycol PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_summarycol_float_format PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_summarycol_drop_omitted PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_summary_col_ordering_preserved PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test__repr_latex_ PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_summary2.py::TestSummaryLatex::test_OLSsummary PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_summary2.py::test_ols_summary_rsquared_label PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_summary2.py::TestSummaryLabels::test_summary_col_r2 PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_summary2.py::TestSummaryLabels::test_absence_of_r2 PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_summary_old.py::test_regression_summary XFAIL [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_simple_table_1 PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_simple_table_2 PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_simple_table_3 PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_simple_table_4 PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_simple_table_special_chars PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_regression_with_tuples PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test_default_alignment PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_table.py::TestSimpleTable::test__repr_latex PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_table_econpy.py::TestCell::test_celldata PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_table_econpy.py::TestSimpleTable::test_txt_fmt1 PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_table_econpy.py::TestSimpleTable::test_ltx_fmt1 PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_table_econpy.py::TestSimpleTable::test_html_fmt1 PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/iolib/tests/test_table_econpy.py::TestSimpleTable::test_customlabel PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_generic_mle.py::TestMyPareto1::test_summary PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_generic_mle.py::TestMyPareto1::test_use_t_summary PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_generic_mle.py::TestMyPareto1::test_ttest PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_generic_mle.py::TestMyPareto1::test_params PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_generic_mle.py::TestMyPareto1::test_df PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_generic_mle.py::TestMyPareto1::test_minsupport PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_generic_mle.py::TestMyParetoRestriction::test_summary PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_generic_mle.py::TestMyParetoRestriction::test_use_t_summary PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_generic_mle.py::TestMyParetoRestriction::test_ttest PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_generic_mle.py::TestMyParetoRestriction::test_params PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_generic_mle.py::TestMyParetoRestriction::test_df PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_generic_mle.py::TestTwoPeakLLHNoExog::test_fit PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitModel::test_basic PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitModel::test_pandas PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitModel::test_formula PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitModel::test_unordered PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitModel::test_results_other PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitModel::test_postestimation PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestProbitModel::test_basic PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestProbitModel::test_pandas PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestProbitModel::test_formula PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestProbitModel::test_unordered PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestProbitModel::test_results_other PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestProbitModel::test_loglikerelated PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestProbitModel::test_formula_categorical PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestProbitModel::test_offset PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitModelFormula::test_setup PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestCLogLogModel::test_basic PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestCLogLogModel::test_pandas PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestCLogLogModel::test_formula PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestCLogLogModel::test_unordered PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestCLogLogModel::test_results_other PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::TestLogitBinary::test_attributes PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_ordinal_model.py::test_nan_endog_exceptions PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonMLE::test_params PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonMLE::test_cov_params PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonMLE::test_ttest PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonMLE::test_df PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonMLE::test_summary PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonMLE::test_predict_distribution PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonOffset::test_ttest PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonOffset::test_df PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonOffset::test_summary PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonOffset::test_params PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonOffset::test_cov_params PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonZi::test_ttest PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonZi::test_df PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonZi::test_summary PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonZi::test_params PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonZi::test_cov_params PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_poisson.py::TestPoissonZi::test_exog_names_warning PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_tmodel.py::TestTModel::test_basic PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_tmodel.py::TestTModel::test_bse PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_tmodel.py::TestTModel::test_fitted PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_tmodel.py::TestTModel::test_formula PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_tmodel.py::TestTModel::test_df PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_tmodel.py::TestTModel::test_smoke PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/miscmodels/tests/test_tmodel.py::TestTModelFixed::test_smoke PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestAnalyticRotation::test_orthogonal_target PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestAnalyticRotation::test_target_rotation PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestGPARotation::test_CF PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestGPARotation::test_equivalence_orthomax_oblimin PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestGPARotation::test_oblimin PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestGPARotation::test_orthogonal_partial_target PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestGPARotation::test_orthogonal_target PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestGPARotation::test_orthomax PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/factor_rotation/tests/test_rotation.py::TestWrappers::test_methods PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_cancorr.py::test_cancorr PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_factor.py::test_auto_col_name PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_factor.py::test_direct_corr_matrix PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_factor.py::test_unknown_fa_method_error PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_factor.py::test_example_compare_to_R_output PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_factor.py::test_plots PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_factor.py::test_getframe_smoke PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_factor.py::test_factor_missing PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_factor.py::test_factor_scoring PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_manova.py::test_manova_sas_example PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_manova.py::test_manova_no_formula PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_manova.py::test_manova_no_formula_no_hypothesis PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_manova.py::test_manova_test_input_validation PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_manova.py::test_endog_1D_array PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_manova.py::test_manova_demeaned PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_ml_factor.py::test_loglike PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_ml_factor.py::test_score PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_ml_factor.py::test_exact PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_ml_factor.py::test_exact_em PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_ml_factor.py::test_fit_ml_em_random_state PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_ml_factor.py::test_em PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_ml_factor.py::test_1factor PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_ml_factor.py::test_2factor PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_glm_dogs_example PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_specify_L_M_by_string PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_independent_variable_singular PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_from_formula_vs_no_formula PASSED [ 17%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_L_M_matrices_1D_array PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_exog_1D_array PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_endog_1D_array PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_multivariate_ols.py::test_affine_hypothesis PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_smoke_plot_and_repr PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_eig_svd_equiv PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_options PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_against_reference PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_warnings_and_errors PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_pandas PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_gls_and_weights PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_wide PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_projection PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_replace_missing PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_rsquare PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_missing_dataframe PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_equivalence PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::TestPCA::test_equivalence_full_matrices PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::test_missing PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::test_too_many_missing PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/multivariate/tests/test_pca.py::test_gls_warning PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case0] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case1] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case2] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case3] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case4] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case5] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case6] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels[case7] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case0] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case1] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case2] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case3] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case4] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case5] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case6] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_vectorized[case7] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case0] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case1] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case2] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case3] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case4] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case5] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case6] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsRplus::test_kernels_weights[case7] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels[case0] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels[case1] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_vectorized[case0] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_vectorized[case1] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_weights[case0] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_asymmetric.py::TestKernelsUnit::test_kernels_weights[case1] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestBandwidthCalculation::test_calculate_bandwidth_gaussian PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestBandwidthCalculation::test_calculate_normal_reference_bandwidth PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestEpanechnikov::test_calculate_normal_reference_constant PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestGaussian::test_calculate_normal_reference_constant PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestBiweight::test_calculate_normal_reference_constant PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestTriweight::test_calculate_normal_reference_constant PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestAllBandwidthZero::test_bandwidth_zero PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_bandwidths.py::TestAnyBandwidthZero::test_bandwidth_zero PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_check_is_fit_exception PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_non_weighted_fft_exception PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_wrong_weight_length_exception PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEExceptions::test_non_gaussian_fft_exception PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_density PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_evaluate PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_support_gridded PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_cdf_gridded PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_sf_gridded PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGauss::test_icdf_gridded PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_density PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_evaluate PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_support_gridded PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_cdf_gridded PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_sf_gridded PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussPandas::test_icdf_gridded PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEEpanechnikov::test_density PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEEpanechnikov::test_evaluate PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDETriangular::test_density PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDETriangular::test_evaluate PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEBiweight::test_density PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEBiweight::test_evaluate PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKdeWeights::test_density PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKdeWeights::test_evaluate PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussFFT::test_density PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEGaussFFT::test_evaluate PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_density XFAIL [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_evaluate PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_compare PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWGauss::test_kernel_constants PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_density XFAIL [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_evaluate PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_compare PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWEpa::test_kernel_constants PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_density XFAIL [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_evaluate PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_compare PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWTri::test_kernel_constants PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_density XFAIL [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_evaluate PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_compare PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWBiw::test_kernel_constants PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_density XFAIL [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_evaluate SKIPPED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_compare PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos::test_kernel_constants PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_density XFAIL [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_evaluate PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_compare PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDEWCos2::test_kernel_constants PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestNormConstant::test_norm_constant_calculation PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::test_kde_bw_positive PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::test_fit_self PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_custom_bandwidth PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_standard_custom_bandwidth PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_float_bandwidth[True] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kde.py::TestKDECustomBandwidth::test_check_is_fit_ok_with_float_bandwidth[False] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_pdf_non_fft PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_weighted_pdf_non_fft PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_all_samples_same_location_bw PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEUnivariate::test_int PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_CV_LS PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_LS_vs_ML PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_mixeddata_CV_ML PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_continuous PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_pdf_ordered PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_unordered_CV_LS PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cdf PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_mixeddata_cdf PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvls_efficient PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvml_efficient PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_efficient_notrandom PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_efficient_user_specified_bw PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_mixeddata_CV_LS PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_CV_ML PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_unordered_CV_LS PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_pdf_continuous PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_pdf_mixeddata PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_normal_ref PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_cdf PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_mixeddata_cdf PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_continuous_cvml_efficient PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_efficient_user_specified_bw PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[biw] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[cos] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[epa] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[gau] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[tri] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[triw] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_density.py::test_all_kernels[uni] PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_ordered_lc_cvls PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_lc_cvls PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_ll_cvls PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_mfx_ll_cvls PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_mixed_mfx_ll_cvls PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_mfx_nonlinear_ll_cvls XFAIL [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_cvls_efficient PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_ll_cvls PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuous_lc_aic PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_significance_continuous PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_significance_discrete PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_user_specified_kernel PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_user_specified_kernel PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_efficient_user_specificed_bw PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_censored_efficient_user_specificed_bw PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::test_invalid_bw PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernel_regression.py::test_invalid_kernel PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestEpan::test_smoothconf PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestEpan::test_smoothconf_data PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestGau::test_smoothconf PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestGau::test_smoothconf_data PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestUniform::test_smoothconf PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestUniform::test_smoothconf_data PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestTriangular::test_smoothconf PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestTriangular::test_smoothconf_data PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestCosine::test_smoothconf_data PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestCosine::test_smoothconf XFAIL [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestBiweight::test_smoothconf PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::TestBiweight::test_smoothconf_data PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_kernels.py::test_tricube PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_import PASSED [ 18%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_flat[False] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_flat[True] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_range PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_simple PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_iter_0 PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_iter_0_3 PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_frac_2_3 PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_frac_1_5 PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_0 PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_rdef PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_delta_1 PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_options PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_duplicate_xs PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_spike PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::TestLowess::test_exog_predict PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::test_returns_inputs PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/tests/test_lowess.py::test_xvals_dtype PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_income_coefficients PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_income_precision PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_methylation_coefficients PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_methylation_precision PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_precision_formula PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_scores PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/othermod/tests/test_beta.py::TestBetaModel::test_results_other PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/othermod/tests/test_beta.py::TestBetaMeth::test_basic PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/othermod/tests/test_beta.py::TestBetaMeth::test_resid PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/othermod/tests/test_beta.py::TestBetaMeth::test_oim PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/othermod/tests/test_beta.py::TestBetaMeth::test_predict_distribution PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/othermod/tests/test_beta.py::TestBetaIncome::test_score_test PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/othermod/tests/test_beta.py::TestBetaIncome::test_influence PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_cov.py::test_HC_use PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_dimred.py::test_poisson PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_dimred.py::test_sir_regularized_numdiff PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_dimred.py::test_sir_regularized_1d PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_dimred.py::test_sir_regularized_2d PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_dimred.py::test_covreduce PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_glsar_gretl.py::TestGLSARGretl::test_all PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_glsar_gretl.py::test_GLSARlag PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_params_table PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_predicted PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_rho PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_glsar_arima PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_glsar_stata.py::TestGLSARCorc::test_glsar_iter0 PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[False-False-False] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[False-False-True] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[False-True-False] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[False-True-True] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[True-False-False] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[True-False-True] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[True-True-False] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_compare_numdiff[True-True-True] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_default_re PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_history PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_profile_inference PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_vcomp_1 PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_vcomp_2 PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_vcomp_3 PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_sparse PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_dietox PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_dietox_slopes PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_pastes_vcomp PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_vcomp_formula PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_formulas PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLM::test_regularized PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLMSummary::test_summary PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLMSummary::test_summary_xname_fe PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLMSummary::test_summary_xname_re PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLMSummaryRegularized::test_summary PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLMSummaryRegularized::test_summary_xname_fe PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestMixedLMSummaryRegularized::test_summary_xname_re PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme10.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme07.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme05.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme04.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme09.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme08.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme00.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme11.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme02.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme01.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme06.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-False-lme03.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-True-lme10.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-True-lme07.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-True-lme05.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-True-lme04.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-True-lme09.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-True-lme08.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-True-lme00.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-True-lme11.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-True-lme02.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-True-lme01.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-True-lme06.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[False-True-lme03.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-False-lme10.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-False-lme07.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-False-lme05.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-False-lme04.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-False-lme09.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-False-lme08.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-False-lme00.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-False-lme11.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-False-lme02.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-False-lme01.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-False-lme06.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-False-lme03.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-True-lme10.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-True-lme07.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-True-lme05.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-True-lme04.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-True-lme09.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-True-lme08.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-True-lme00.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-True-lme11.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-True-lme02.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-True-lme01.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-True-lme06.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_r[True-True-lme03.csv] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_mixed_lm_wrapper PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_random_effects PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_handle_missing PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_summary_col PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_random_effects_getters PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0-2-4-5] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0-2-4-10] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0-2-8-5] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0-2-8-10] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0-3-4-5] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0-3-4-10] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0-3-8-5] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0-3-8-10] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-2-4-5] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-2-4-10] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-2-8-5] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-2-8-10] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-3-4-5] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-3-4-10] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-3-8-5] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWSolver::test_smw_solver[0.5-3-8-10] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-2-4-5] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-2-4-10] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-2-8-5] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-2-8-10] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-3-4-5] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-3-4-10] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-3-8-5] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0-3-8-10] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-2-4-5] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-2-4-10] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-2-8-5] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-2-8-10] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-3-4-5] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-3-4-10] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-3-8-5] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::TestSMWLogdet::test_smw_logdet[0.5-3-8-10] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_singular PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_lme.py::test_get_distribution PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_predict.py::test_predict_se PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_predict.py::TestWLSPrediction::test_ci PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_predict.py::TestWLSPrediction::test_glm PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_predict.py::test_predict_remove_data PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_processreg.py::test_arrays[False] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_processreg.py::test_arrays[True] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_processreg.py::test_formulas[False] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_processreg.py::test_formulas[True] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_processreg.py::test_score_numdiff[False] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_processreg.py::test_score_numdiff[True] PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::test_fitted_residuals PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_params PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_bse PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_tvalues PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_pvalues PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_conf_int PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_nobs PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_df_model PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_df_resid PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_prsquared PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_sparsity PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheatherQ75::test_bandwidth PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_params PASSED [ 19%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_bse PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_tvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_pvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_conf_int PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_nobs PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_df_model PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_df_resid PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_prsquared PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_sparsity PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovBofinger::test_bandwidth PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_params PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_bse PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_tvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_pvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_conf_int PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_nobs PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_df_model PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_df_resid PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_prsquared PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_sparsity PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovChamberlain::test_bandwidth PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_params PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_bse PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_tvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_pvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_conf_int PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_nobs PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_df_model PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_df_resid PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_prsquared PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_sparsity PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestEpanechnikovHsheather::test_bandwidth PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_params PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_bse PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_tvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_pvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_conf_int PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_nobs PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_df_model PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_df_resid PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_prsquared PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_sparsity PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianBofinger::test_bandwidth PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_params PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_bse PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_tvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_pvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_conf_int PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_nobs PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_df_model PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_df_resid PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_prsquared PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_sparsity PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianChamberlain::test_bandwidth PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_params PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_bse PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_tvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_pvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_conf_int PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_nobs PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_df_model PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_df_resid PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_prsquared PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_sparsity PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestGaussianHsheather::test_bandwidth PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_params PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_bse PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_tvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_pvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_conf_int PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_nobs PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_df_model PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_df_resid PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_prsquared PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_sparsity PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightBofinger::test_bandwidth PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_params PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_bse PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_tvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_pvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_conf_int PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_nobs PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_df_model PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_df_resid PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_prsquared PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_sparsity PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightChamberlain::test_bandwidth PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_params PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_bse PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_tvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_pvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_conf_int PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_nobs PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_df_model PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_df_resid PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_prsquared PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_sparsity PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestBiweightHsheather::test_bandwidth PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_params PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_bse PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_tvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_pvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_conf_int PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_nobs PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_df_model PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_df_resid PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_prsquared PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_sparsity PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineBofinger::test_bandwidth PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_params PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_bse PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_tvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_pvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_conf_int PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_nobs PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_df_model PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_df_resid PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_prsquared PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_sparsity PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineChamberlain::test_bandwidth PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_params PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_bse PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_tvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_pvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_conf_int PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_nobs PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_df_model PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_df_resid PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_prsquared PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_sparsity PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestCosineHsheather::test_bandwidth PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_params PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_bse PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_tvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_pvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_conf_int PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_nobs PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_df_model PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_df_resid PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_prsquared PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_sparsity PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneBofinger::test_bandwidth PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_params PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_bse PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_tvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_pvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_conf_int PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_nobs PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_df_model PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_df_resid PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_prsquared PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_sparsity PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneChamberlain::test_bandwidth PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_params PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_bse PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_tvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_pvalues PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_conf_int PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_nobs PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_df_model PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_df_resid PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_prsquared PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_sparsity PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::TestParzeneHsheather::test_bandwidth PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::test_zero_resid PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::test_use_t_summary PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::test_alpha_summary PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::test_remove_data PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::test_collinear_matrix PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_quantile_regression.py::test_nontrivial_singular_matrix PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_recursive_ls.py::test_endog PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_recursive_ls.py::test_ols PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_recursive_ls.py::test_glm PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_recursive_ls.py::test_glm_constrained PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_recursive_ls.py::test_filter PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_recursive_ls.py::test_estimates PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_recursive_ls.py::test_plots PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_recursive_ls.py::test_from_formula PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_recursive_ls.py::test_resid_recursive PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_recursive_ls.py::test_recursive_olsresiduals_bad_input PASSED [ 20%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_recursive_ls.py::test_cusum PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_recursive_ls.py::test_stata PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_recursive_ls.py::test_constraints_stata PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_recursive_ls.py::test_multiple_constraints PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_recursive_ls.py::test_fix_params PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_params PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_standarderrors PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_confidenceintervals PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_conf_int_subset PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_scale PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_rsquared PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_rsquared_adj PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_degrees PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_ess PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_sumof_squaredresids PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_mse_resid PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_mse_model PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_mse_total PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_fvalue PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_loglike PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_aic PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_bic PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_pvalues PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_wresid PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_resids PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_norm_resids PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_eigenvalues PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_HC0_errors PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_HC1_errors PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_HC2_errors PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_HC3_errors PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_qr_params PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_qr_normalized_cov_params PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_missing PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_rsquared_adj_overfit PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_qr_alternatives PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_norm_resid PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_summary_slim PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS::test_norm_resid_zero_variance PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_params PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_standarderrors PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_confidenceintervals PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_conf_int_subset PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_scale PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_rsquared PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_rsquared_adj PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_degrees PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_ess PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_sumof_squaredresids PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_mse_resid PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_mse_model PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_mse_total PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_fvalue PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_loglike PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_aic PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_bic PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_pvalues PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_wresid PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_resids PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRTO::test_norm_resids PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestFtest::test_F PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestFtest::test_p PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestFtest::test_Df_denom PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestFtest::test_Df_num PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestFTest2::test_new_ftest PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestFTest2::test_fvalue PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestFTest2::test_pvalue PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestFTest2::test_df_denom PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestFTest2::test_df_num PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestFtestQ::test_fvalue PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestFtestQ::test_pvalue PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestFtestQ::test_df_denom PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestFtestQ::test_df_num PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestTtest::test_new_tvalue PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestTtest::test_tvalue PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestTtest::test_sd PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestTtest::test_pvalue PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestTtest::test_df_denom PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestTtest::test_effect PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestTtest2::test_tvalue PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestTtest2::test_sd PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestTtest2::test_pvalue PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestTtest2::test_df_denom PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestTtest2::test_effect PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS::test_aic PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS::test_bic PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS::test_loglike PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS::test_params PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS::test_resid PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS::test_scale PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS::test_tvalues PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS::test_standarderrors PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS::test_fittedvalues PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS::test_pvalues PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS::test_missing PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_params PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_standarderrors PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_confidenceintervals PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_conf_int_subset PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_scale PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_rsquared PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_rsquared_adj PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_degrees PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_ess PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_sumof_squaredresids PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_mse_resid PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_mse_model PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_mse_total PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_fvalue PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_loglike PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_aic PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_bic PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_pvalues PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_wresid PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_resids PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_norm_resids PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_wrong_size_sigma_1d PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_wrong_size_sigma_2d PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_alt_sigma::test_singular_sigma SKIPPED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestLM::test_LM_homoskedastic PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestLM::test_LM_heteroskedastic_nodemean PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestLM::test_LM_heteroskedastic_demean PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestLM::test_LM_heteroskedastic_LRversion PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestLM::test_LM_nonnested PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS_GLS_WLS_equivalence::test_ll PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS_GLS_WLS_equivalence::test_params PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS_GLS_WLS_equivalence::test_ss PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestOLS_GLS_WLS_equivalence::test_rsquared PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_WLS_equivalence::test_ll PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_WLS_equivalence::test_params PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_WLS_equivalence::test_ss PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_WLS_equivalence::test_rsquared PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNonFit::test_df_resid PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_CornerCases::test_wrong_size_weights PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_params PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_standarderrors PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_confidenceintervals PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_conf_int_subset PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_scale PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_rsquared PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_rsquared_adj PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_degrees PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_ess PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_sumof_squaredresids PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_mse_resid PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_mse_model PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_mse_total PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_fvalue PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_loglike PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_aic PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_bic PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_pvalues PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_wresid PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_resids PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSExogWeights::test_norm_resids PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_wls_example PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_wls_tss PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_params PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_standarderrors PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_confidenceintervals PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_conf_int_subset PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_scale PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_rsquared PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_rsquared_adj PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_degrees PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_ess PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_sumof_squaredresids PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_mse_resid PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_mse_model PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_mse_total PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_fvalue PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_loglike PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_aic PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_bic PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_pvalues PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_wresid PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_resids PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLSScalarVsArray::test_norm_resids PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_params PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_standarderrors PASSED [ 21%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_confidenceintervals PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_conf_int_subset PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_scale PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_rsquared PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_rsquared_adj PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_degrees PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_ess PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_sumof_squaredresids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_mse_resid PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_mse_model PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_mse_total PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_fvalue PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_loglike PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_aic PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_bic PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_pvalues PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_wresid PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_resids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_GLS::test_norm_resids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_wls_missing PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_params PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_standarderrors PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_confidenceintervals PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_conf_int_subset PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_scale PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_rsquared PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_rsquared_adj PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_degrees PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_ess PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_sumof_squaredresids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_mse_resid PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_mse_model PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_mse_total PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_fvalue PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_loglike PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_aic PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_bic PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_pvalues PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_wresid PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_resids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestWLS_OLS::test_norm_resids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_params PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_standarderrors PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_confidenceintervals PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_conf_int_subset PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_scale PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_rsquared PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_rsquared_adj PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_degrees PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_ess PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_sumof_squaredresids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_mse_resid PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_mse_model PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_mse_total PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_fvalue PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_loglike PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_aic PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_bic PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_pvalues PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_wresid PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_resids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_OLS::test_norm_resids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestYuleWalker::test_params PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_params PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_standarderrors PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_confidenceintervals PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_conf_int_subset PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_scale PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_rsquared PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_rsquared_adj PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_degrees PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_ess PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_sumof_squaredresids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_mse_resid PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_mse_model PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_mse_total PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_fvalue PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_loglike PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_aic PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_bic PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_pvalues PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_wresid PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_resids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestDataDimensions::test_norm_resids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_params PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_standarderrors PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_confidenceintervals PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_conf_int_subset PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_scale PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_rsquared PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_rsquared_adj PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_degrees PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_ess PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_sumof_squaredresids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_mse_resid PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_mse_model PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_mse_total PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_fvalue PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_loglike PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_aic PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_bic PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_pvalues PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_wresid PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_resids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_norm_resids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_large_equal_params PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_large_equal_loglike PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestGLS_large_data::test_large_equal_params_none PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_params PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_standarderrors PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_confidenceintervals PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_conf_int_subset PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_scale PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_rsquared PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_rsquared_adj PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_degrees PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_ess PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_sumof_squaredresids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_mse_resid PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_mse_model PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_mse_total PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_fvalue PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_loglike PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_aic PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_bic PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_pvalues PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_wresid PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_resids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNx::test_norm_resids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_params PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_standarderrors PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_confidenceintervals PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_conf_int_subset PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_scale PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_rsquared PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_rsquared_adj PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_degrees PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_ess PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_sumof_squaredresids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_mse_resid PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_mse_model PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_mse_total PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_fvalue PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_loglike PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_aic PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_bic PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_pvalues PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_wresid PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_resids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxOneNx::test_norm_resids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_params PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_standarderrors PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_confidenceintervals PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_conf_int_subset PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_scale PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_rsquared PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_rsquared_adj PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_degrees PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_ess PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_sumof_squaredresids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_mse_resid PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_mse_model PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_mse_total PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_fvalue PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_loglike PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_aic PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_bic PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_pvalues PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_wresid PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_resids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestNxNxOne::test_norm_resids PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_bad_size PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_const_indicator PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_fvalue_const_only PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_conf_int_single_regressor PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_summary_as_latex PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRegularizedFit::test_empty_model PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRegularizedFit::test_regularized PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRegularizedFit::test_regularized_weights PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::TestRegularizedFit::test_regularized_weights_list PASSED [ 22%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_formula_missing_cat PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_missing_formula_predict PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_fvalue_implicit_constant PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_fvalue_only_constant PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_ridge PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_regularized_refit PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_regularized_predict PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_regularized_options PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_burg PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_burg_errors PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_sqrt_lasso PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_bool_regressor PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_ols_constant PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_summary_no_constant PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_condition_number PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_regression.py::test_slim_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust1::test_basic PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust1::test_t_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust1::test_t_test_summary_frame PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust1::test_f_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust1::test_tests PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust1::test_qr_equiv PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2::test_basic PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2::test_t_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2::test_t_test_summary_frame PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2::test_f_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2::test_tests PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2::test_qr_equiv PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust3::test_basic PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust3::test_t_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust3::test_t_test_summary_frame PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust3::test_f_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust3::test_tests PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust3::test_qr_equiv PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacSmall::test_basic PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacSmall::test_t_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacSmall::test_t_test_summary_frame PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacSmall::test_f_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacSmall::test_tests PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacSmall::test_qr_equiv PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacLarge::test_basic PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacLarge::test_t_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacLarge::test_t_test_summary_frame PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacLarge::test_f_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacLarge::test_tests PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHacLarge::test_qr_equiv PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_fvalue PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_confint PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_ttest PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_scale PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_basic PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_t_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_t_test_summary_frame PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_f_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_tests PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_qr_equiv PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2SmallNew::test_compare PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_compare PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_fvalue PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_confint PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_ttest PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_scale PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_basic PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_t_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_t_test_summary_frame PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_f_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_tests PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustHACSmallNew::test_qr_equiv PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_compare PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_ttest PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_scale PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_basic PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_t_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_t_test_summary_frame PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_f_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_tests PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_qr_equiv PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_fvalue SKIPPED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobust2LargeNew::test_confint SKIPPED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_compare PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_fvalue PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_confint PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_ttest PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_scale PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_basic PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_t_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_t_test_summary_frame PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_f_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2::test_tests PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_compare PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_fvalue PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_confint PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_ttest PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_scale PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_basic PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_t_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_t_test_summary_frame PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_f_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_tests PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_too_many_groups PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Input::test_2way_dataframe PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_compare PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_fvalue PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_confint PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_ttest PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_scale PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_basic PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_t_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_t_test_summary_frame PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_f_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_tests PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Fit::test_basic_inference PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_compare PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_fvalue SKIPPED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_confint PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_ttest PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_scale PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_basic PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_t_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_t_test_summary_frame PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_f_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_tests PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2Large::test_f_value SKIPPED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_compare PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_confint PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_ttest PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_scale PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_basic PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_t_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_t_test_summary_frame PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_f_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_tests PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2LargeFit::test_fvalue SKIPPED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_compare PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_fvalue SKIPPED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_confint PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_ttest PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_scale PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_basic PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_t_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_t_test_summary_frame PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_f_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGS::test_tests PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_compare PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_fvalue SKIPPED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_confint PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_ttest PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_scale PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_basic PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_t_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_t_test_summary_frame PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_f_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterGSFit::test_tests PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_compare PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_fvalue SKIPPED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_confint PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_ttest PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_scale PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_basic PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_t_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_t_test_summary_frame PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_f_test_summary PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_tests PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWP::test_keyword PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_compare PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_fvalue SKIPPED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_confint PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_ttest PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_scale PASSED [ 23%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_basic PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_t_test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_t_test_summary_frame PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_f_test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustClusterNWPGroupsFit::test_tests PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_compare PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_fvalue PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_confint PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_ttest PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_scale PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_basic PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_t_test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_t_test_summary_frame PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_f_test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2G::test_tests PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_compare PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_fvalue SKIPPED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_confint PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_ttest PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_scale PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_basic PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_t_test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_t_test_summary_frame PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_f_test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestOLSRobustCluster2GLarge::test_tests PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_compare PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_fvalue PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_confint PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_ttest PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_scale PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_basic PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_t_test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_t_test_summary_frame PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_f_test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2::test_tests PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_compare PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_fvalue SKIPPED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_confint PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_ttest PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_scale PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_basic PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_t_test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_t_test_summary_frame PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_f_test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustCluster2Large::test_tests PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_compare PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_fvalue SKIPPED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_confint PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_ttest PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_scale PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_basic PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_t_test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_t_test_summary_frame PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_f_test_summary PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSRobustSmall::test_tests PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSOLSRobustSmall::test_all PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::TestWLSOLSRobustSmall::test_fixed_scale PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::test_cov_type_fixed_scale PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::test_qr_equiv[cov_info0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::test_qr_equiv[cov_info1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::test_qr_equiv[cov_info2] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::test_qr_equiv[cov_info3] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::test_qr_equiv[cov_info4] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::test_qr_equiv[cov_info5] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_robustcov.py::test_qr_equiv[cov_info6] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_has_nan[250-3-True-True-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0-None-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0-None-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0-True-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0-True-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0-False-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0-False-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_raise[250-3-True-True-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-True-True-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_has_nan[250-3-True-True-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0.1-None-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0.1-None-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0.1-True-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0.1-True-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0.1-False-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-True-0.1-False-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_raise[250-3-True-True-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-True-True-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_has_nan[250-3-True-False-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0-None-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0-None-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0-True-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0-True-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0-False-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0-False-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_raise[250-3-True-False-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-True-False-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_has_nan[250-3-True-False-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0.1-None-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0.1-None-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0.1-True-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0.1-True-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0.1-False-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-True-False-0.1-False-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_raise[250-3-True-False-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-True-False-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_has_nan[250-3-False-True-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0-None-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0-None-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0-True-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0-True-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0-False-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0-False-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_raise[250-3-False-True-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-False-True-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_has_nan[250-3-False-True-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0.1-None-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0.1-None-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0.1-True-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0.1-True-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0.1-False-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-True-0.1-False-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_raise[250-3-False-True-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-False-True-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_has_nan[250-3-False-False-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0-None-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0-None-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0-True-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0-True-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0-False-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0-False-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_raise[250-3-False-False-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-False-False-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_has_nan[250-3-False-False-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-None-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-None-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-True-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-True-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-False-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-3-False-False-0.1-False-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_raise[250-3-False-False-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_save_load[250-3-False-False-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_has_nan[250-0-True-True-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0-None-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0-None-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0-True-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0-True-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0-False-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0-False-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_raise[250-0-True-True-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_save_load[250-0-True-True-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_has_nan[250-0-True-True-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-None-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-None-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-True-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-True-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-False-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-True-0.1-False-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_raise[250-0-True-True-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_save_load[250-0-True-True-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_has_nan[250-0-True-False-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0-None-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0-None-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0-True-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0-True-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0-False-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0-False-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_raise[250-0-True-False-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_save_load[250-0-True-False-0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_has_nan[250-0-True-False-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-None-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-None-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-True-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-True-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-False-nonrobust] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_against_wls_inference[250-0-True-False-0.1-False-HC0] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_raise[250-0-True-False-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_save_load[250-0-True-False-0.1] PASSED [ 24%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-True-0-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-True-0-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-True-0.1-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-True-0.1-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-False-0-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-False-0-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-False-0.1-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-True-False-0.1-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-True-0-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-True-0-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-True-0.1-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-True-0.1-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-False-0-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-False-0-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-False-0.1-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-3-False-False-0.1-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-True-0-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-True-0-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-True-0.1-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-True-0.1-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-False-0-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-False-0-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-False-0.1-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_weighted_against_wls[250-0-True-False-0.1-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_error PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_formula PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_plot PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-True-0-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-True-0-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-True-0-inv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-True-0-lstsq] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-True-0-pinv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-True-True-0] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_expanding[250-3-True-True-0] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-True-0.1-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-True-0.1-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-True-0.1-inv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-True-0.1-lstsq] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-True-0.1-pinv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-True-True-0.1] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_expanding[250-3-True-True-0.1] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-False-0-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-False-0-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-False-0-inv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-False-0-lstsq] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-False-0-pinv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-True-False-0] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_expanding[250-3-True-False-0] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-False-0.1-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-True-False-0.1-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-False-0.1-inv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-False-0.1-lstsq] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-True-False-0.1-pinv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-True-False-0.1] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_expanding[250-3-True-False-0.1] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-True-0-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-True-0-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-True-0-inv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-True-0-lstsq] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-True-0-pinv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-False-True-0] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_expanding[250-3-False-True-0] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-True-0.1-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-True-0.1-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-True-0.1-inv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-True-0.1-lstsq] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-True-0.1-pinv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-False-True-0.1] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_expanding[250-3-False-True-0.1] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-False-0-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-False-0-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-False-0-inv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-False-0-lstsq] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-False-0-pinv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-False-False-0] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_expanding[250-3-False-False-0] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-False-0.1-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-3-False-False-0.1-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-False-0.1-inv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-False-0.1-lstsq] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-3-False-False-0.1-pinv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-3-False-False-0.1] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_expanding[250-3-False-False-0.1] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-0-True-True-0-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-0-True-True-0-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-True-0-inv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-True-0-lstsq] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-True-0-pinv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-0-True-True-0] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_expanding[250-0-True-True-0] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-0-True-True-0.1-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-0-True-True-0.1-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-True-0.1-inv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-True-0.1-lstsq] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-True-0.1-pinv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-0-True-True-0.1] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_expanding[250-0-True-True-0.1] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-0-True-False-0-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-0-True-False-0-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-False-0-inv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-False-0-lstsq] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-False-0-pinv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-0-True-False-0] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_expanding[250-0-True-False-0] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-0-True-False-0.1-True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_methods[250-0-True-False-0.1-False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-False-0.1-inv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-False-0.1-lstsq] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_params_only[250-0-True-False-0.1-pinv] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_min_nobs[250-0-True-False-0.1] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_rolling.py::test_expanding[250-0-True-False-0.1] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_theil.py::TestTheilTextile::test_basic PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_theil.py::TestTheilTextile::test_other PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_theil.py::TestTheilTextile::test_no_penalization PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_theil.py::TestTheilTextile::test_summary PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_theil.py::TestTheil1::test_attributes PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_theil.py::TestTheil2::test_attributes PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_theil.py::TestTheil3::test_attributes PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_theil.py::TestTheilGLS::test_attributes PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_theil.py::TestTheilLinRestriction::test_attributes PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_theil.py::TestTheilLinRestrictionApprox::test_attributes PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_theil.py::TestTheilPanel::test_regression PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_theil.py::TestTheilPanel::test_combine_subset_regression PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_tools.py::TestMinimalWLS::test_equivalence_with_wls[True] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_tools.py::TestMinimalWLS::test_equivalence_with_wls[False] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_tools.py::TestMinimalWLS::test_inf_nan[nan] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/tests/test_tools.py::TestMinimalWLS::test_inf_nan[inf] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_mquantiles.py::TestMQuantiles::test_ols PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_mquantiles.py::TestMQuantiles::test_quantreg PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_norms.py::test_norm[case0-int] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_norms.py::test_norm[case0-float64] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_norms.py::test_norm[case0-complex128] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_norms.py::test_norm[case1-int] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_norms.py::test_norm[case1-float64] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_norms.py::test_norm[case1-complex128] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_norms.py::test_norm[case2-int] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_norms.py::test_norm[case2-float64] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_norms.py::test_norm[case2-complex128] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_norms.py::test_norms_consistent[case0] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_norms.py::test_norms_consistent[case1] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_norms.py::test_norms_consistent[case2] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_norms.py::test_norms_consistent[case3] PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlm::test_params PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlm::test_standarderrors PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlm::test_confidenceintervals SKIPPED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlm::test_scale PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlm::test_weights PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlm::test_residuals PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlm::test_degrees PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlm::test_bcov_unscaled PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlm::test_bcov_scaled PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlm::test_tvalues PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlm::test_tpvalues PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlm::test_summary PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlm::test_summary2 PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlm::test_chisq PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlm::test_predict PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampel::test_params PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampel::test_standarderrors PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampel::test_confidenceintervals SKIPPED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampel::test_scale PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampel::test_weights PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampel::test_residuals PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampel::test_degrees PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampel::test_bcov_unscaled PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampel::test_bcov_scaled PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampel::test_tvalues PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampel::test_tpvalues PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampel::test_summary PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampel::test_summary2 PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampel::test_chisq PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampel::test_predict PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_params PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_standarderrors PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_confidenceintervals SKIPPED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_scale PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_weights PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_residuals PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_degrees PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_bcov_unscaled PASSED [ 25%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_bcov_scaled PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_tvalues PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_tpvalues PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_summary PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_summary2 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_chisq PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquare::test_predict PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_params PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_standarderrors PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_confidenceintervals PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_scale PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_weights PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_residuals PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_degrees PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_bcov_unscaled SKIPPED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_bcov_scaled PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_tvalues SKIPPED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_tpvalues PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_summary PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_summary2 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_chisq PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrews::test_predict PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_params PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_standarderrors PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_confidenceintervals PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_scale PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_weights PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_residuals PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_degrees PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_bcov_unscaled SKIPPED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_bcov_scaled PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_tvalues SKIPPED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmHuber::test_tpvalues PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_params PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_standarderrors PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_confidenceintervals PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_scale PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_weights PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_residuals PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_degrees PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_bcov_unscaled SKIPPED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_bcov_scaled PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_tvalues SKIPPED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_tpvalues PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_summary PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_summary2 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_chisq PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestHampelHuber::test_predict PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_params PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_standarderrors PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_confidenceintervals PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_scale PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_weights PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_residuals PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_degrees PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_bcov_unscaled SKIPPED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_bcov_scaled PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_tvalues SKIPPED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_tpvalues PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_summary PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_summary2 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_chisq PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmBisquareHuber::test_predict PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_params PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_standarderrors PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_confidenceintervals PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_scale PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_weights PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_residuals PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_degrees PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_bcov_unscaled SKIPPED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_bcov_scaled PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_tvalues SKIPPED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_tpvalues PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_summary PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_summary2 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_chisq PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmAndrewsHuber::test_predict PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_params PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_standarderrors PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_confidenceintervals SKIPPED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_scale PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_weights PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_residuals PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_degrees PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_bcov_unscaled PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_bcov_scaled PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_tvalues PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::TestRlmSresid::test_tpvalues PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_missing PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_rlm_start_values PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_rlm_start_values_errors PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[AndrewWave] PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[AndrewWave] PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[LeastSquares] PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[LeastSquares] PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[HuberT] PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[HuberT] PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[TrimmedMean] PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[TrimmedMean] PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[TukeyBiweight] PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[TukeyBiweight] PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[Hampel] PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[Hampel] PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_fit[RamsayE] PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_perfect_const[RamsayE] PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_alt_criterion[weights] PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_alt_criterion[coefs] PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_alt_criterion[sresid] PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_rlm.py::test_bad_criterion PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_mean PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_median PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_mad PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_iqr PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_qn PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_huber_scale PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_huber_location PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_huber_huberT PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestChem::test_huber_Hampel PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMad::test_mad PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMad::test_mad_empty PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMad::test_mad_center PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axis0 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axis1 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axis2 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestMadAxes::test_axisneg1 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestIqr::test_iqr PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestIqr::test_iqr_empty PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axis0 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axis1 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axis2 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestIqrAxes::test_axisneg1 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestQn::test_qn_naive PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestQn::test_qn_robustbase PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestQn::test_qn_empty PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis0 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis1 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axis2 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestQnAxes::test_axisneg1 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestHuber::test_huber_result_shape PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_default PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axis1 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axis2 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::TestHuberAxes::test_axisneg1 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/tests/test_scale.py::test_mad_axis_none PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_extras.py::test_skewnorm PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_extras.py::test_skewt PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_gof_new.py::test_loop_vectorized_batch_equivalence PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_1 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_2 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_3 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_4 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::Test_MVN_MVT_prob::test_mvn_mvt_5 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMVDistributions::test_mvn_pdf PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_multivariate.py::TestMVDistributions::test_mvt_pdf PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_dist1 PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_cdf_ppf_roundtrip PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_pdf PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormMom::test_mvsk PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormSample::test_ks PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_norm_expan.py::TestExpandNormSample::test_mvsk PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_transf.py::Test_Transf2::test_equivalent PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/distributions/tests/test_transf.py::Test_Transf2::test_equivalent_negsq PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_kernel_extras.py::TestSemiLinear::test_basic PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_predict PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_coef PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother1::test_df PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_predict PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_coef PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother2::test_df PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_predict PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_coef PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/nonparametric/tests/test_smoothers.py::TestPolySmoother3::test_df PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/panel/tests/test_random_panel.py::test_short_panel PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::test_iv2sls_r PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::test_ivgmm0_r PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::test_ivgmm1_stata PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMOLS::test_basic PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMOLS::test_other XFAIL [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_basic PASSED [ 26%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_other PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_hypothesis PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_summary PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt1::test_use_t PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_other PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_hypothesis PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_summary PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostep::test_use_t PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_other PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_hypothesis PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_summary PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStTwostepNO::test_use_t PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_hypothesis PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_summary PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_use_t PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_bse_other PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestep::test_other XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_hypothesis PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_summary PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_use_t PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOnestepNO::test_other XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_hypothesis PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_summary PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_use_t PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_other XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiter::test_bse_other PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_hypothesis PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_summary PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_use_t PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO::test_other XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_hypothesis PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_summary PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_use_t PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Linear::test_other XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_hypothesis PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_summary PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_use_t PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_other XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterNO_Nonlinear::test_score PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_hypothesis PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_summary PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_use_t PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMStOneiterOLS_Linear::test_other XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestGMMSt2::test_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_other PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_hypothesis PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_hausman PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_summary PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::TestIV2SLSSt1::test_input_dimensions PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::test_noconstant PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm.py::test_gmm_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_other PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddOnestep::test_summary PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_other PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMAddTwostep::test_summary PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_other PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultOnestep::test_summary PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_other PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostep::test_summary PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_other PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepDefault::test_summary PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_basic PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_other PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_summary PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/regression/tests/test_gmm_poisson.py::TestGMMMultTwostepCenter::test_more PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/stats/tests/test_multicomp.py::test_tukey_pvalues PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/stats/tests/test_runs.py::test_mean_cutoff PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/stats/tests/test_runs.py::test_median_cutoff PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/stats/tests/test_runs.py::test_numeric_cutoff PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_predict PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_params PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_df XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestAdditiveModel::test_fitted PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_predict PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_fitted XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_params PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_df XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_mu PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMPoisson::test_prediction PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_predict PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_fitted XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_params PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_df XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_mu PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMBinomial::test_prediction PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_predict XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_fitted XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_params XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_df XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_mu XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_prediction XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_predict PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_fitted XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_params PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_df XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_mu PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMGamma::test_prediction PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_predict XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_params XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_mu XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_prediction XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_fitted XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_df XFAIL [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_pca.py::test_pca_princomp PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_pca.py::test_pca_svd PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_formula PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_lm_contrast PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_glm_formula_contrast PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_scb PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_glm_formula PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/tests/test_predict_functional.py::TestPredFunc::test_noformula_prediction PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_scalar PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_vector PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_invalid_parameters PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_handful_to_tbl PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_all_to_tbl SKIPPED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_handful_to_ch PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestQsturng::test_10000_to_ch PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_scalar PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_vector PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_v_equal_one PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_invalid_parameters PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_handful_to_known_values PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/libqsturng/tests/test_qsturng.py::TestPsturng::test_100_random_values PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnovaLM::test_results PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnovaLMNoconstant::test_results PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnovaLMCompare::test_results PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnovaLMCompareNoconstant::test_results PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2::test_results PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2Noconstant::test_results PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2HC0::test_results PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2HC1::test_results PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2HC2::test_results PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova2HC3::test_results PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova3::test_results PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova3HC0::test_results PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova3HC1::test_results PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova3HC2::test_results PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova.py::TestAnova3HC3::test_results PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_single_factor_repeated_measures_anova PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_two_factors_repeated_measures_anova PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_three_factors_repeated_measures_anova PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_invalid_factor_name PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_collinearity PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_unbalanced_data PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregation PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregation_one_subject_duplicated PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_func PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_func_mean PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_anova_rm.py::test_repeated_measures_aggregate_compare_with_ezANOVA PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_base.py::test_holdertuple PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_base.py::test_holdertuple2 PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_homogeneity PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_SquareTable_from_data PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_SquareTable_nonsquare PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_cumulative_odds PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_local_odds PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_shifting PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_stratified_table_cube PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_resids PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_ordinal_association PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_chi2_association PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_symmetry PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_mcnemar PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_from_data_stratified PASSED [ 27%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_from_data_2x2 PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::test_cochranq PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_oddsratio_pooled PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_logodds_pooled PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_null_odds PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_oddsratio_pooled_confint PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_logodds_pooled_confint PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_equal_odds PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_pandas PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified1::test_from_data PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_oddsratio_pooled PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_logodds_pooled PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_null_odds PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_oddsratio_pooled_confint PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_logodds_pooled_confint PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_equal_odds PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_pandas PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified2::test_from_data PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_oddsratio_pooled PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_logodds_pooled PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_null_odds PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_oddsratio_pooled_confint PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_logodds_pooled_confint PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_equal_odds PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_pandas PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::TestStratified3::test_from_data PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_oddsratio PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_oddsratio_se PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio_pvalue PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_oddsratio_confint PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio_se PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio_pvalue PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_riskratio_confint PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_log_riskratio_confint PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_from_data PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contingency_tables.py::Test2x2_1::test_summary PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast1 PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast2 PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contrast.py::TestContrast::test_contrast3 PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contrast.py::TestContrast::test_estimable PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_contrast.py::test_constraints PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_correlation.py::test_kernel_covariance PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::test_corr_psd PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::TestCovPSD::test_cov_nearest PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_nearest PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_clipped PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::TestCorrPSD1::test_cov_nearest PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[0] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-15] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-10] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-06] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_arrpack PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor[1] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor[2] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_sparse[1] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_nearest_factor_sparse[2] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_spg_optim PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_decorrelate PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_logdet PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_solve PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog[1] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog[2] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog_sparse[1] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_cov_nearest_factor_homog_sparse[2] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_corrpsd.py::Test_Factor::test_corr_thresholded PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_deltacov.py::TestDeltacovOLS::test_method PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_deltacov.py::TestDeltacovOLS::test_ttest PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_deltacov.py::TestDeltacovOLS::test_diff PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_deltacov.py::test_deltacov_margeff PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_sign_test PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_description_exceptions PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_description_basic PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_odd_percentiles PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_large_ntop PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_use_t PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[ci] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[jarque_bera] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[mode] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[top] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_special_stats[freq] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_empty_columns PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_extension_types PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_std_err PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_descriptivestats.py::test_describe PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_gq PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_basic PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_hac PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_goldfeldquandt PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_breusch_pagan PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_breusch_pagan_1d_err PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_breusch_pagan_nonrobust PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_white PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_white_error PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_arch PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_het_arch2 PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_breusch_godfrey PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_breusch_godfrey_multidim PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_breusch_godfrey_exogs PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_ljung_box PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_ljung_box_big_default PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_ljung_box_small_default PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_acorr_ljung_box_against_r PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_harvey_collier PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_rainbow PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_lr PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_j PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_error[compare_cox] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_error[compare_j] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_nested[compare_cox] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_nested[compare_j] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_compare_cox PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_cusum_ols PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_breaks_hansen PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_recursive_residuals PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_normality PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticG::test_influence PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_basic PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_hac PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_goldfeldquandt PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_breusch_pagan PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_breusch_pagan_1d_err PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_breusch_pagan_nonrobust PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_white PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_white_error PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_arch PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_het_arch2 PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_breusch_godfrey PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_breusch_godfrey_multidim PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_breusch_godfrey_exogs PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box_big_default PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box_small_default PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_acorr_ljung_box_against_r PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_harvey_collier PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_rainbow PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_lr PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_j PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_error[compare_cox] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_error[compare_j] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_nested[compare_cox] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_nested[compare_j] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_compare_cox PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_cusum_ols PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_breaks_hansen PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_recursive_residuals PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_normality PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::TestDiagnosticGPandas::test_influence PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_spec_white PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_spec_white_error PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_linear_lm_direct PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_outlier_influence_funcs PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_influence_wrapped PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_influence_dtype PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_outlier_test PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_ljungbox_dof_adj PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_ljungbox_auto_lag_selection PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_ljungbox_auto_lag_whitenoise PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_ljungbox_errors_warnings PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_ljungbox_period PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_encompasing_direct[nonrobust] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_encompasing_direct[HC0] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_encompasing_error PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-fitted-2] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-fitted-3] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-exog-2] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-exog-3] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-princomp-2] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-True-princomp-3] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-False-fitted-2] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-False-fitted-3] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-False-exog-2] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-False-exog-3] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-False-princomp-2] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov0-False-princomp-3] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-True-fitted-2] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-True-fitted-3] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-True-exog-2] PASSED [ 28%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-True-exog-3] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-True-princomp-2] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-True-princomp-3] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-False-fitted-2] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-False-fitted-3] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-False-exog-2] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-False-exog-3] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-False-princomp-2] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_reset_smoke[cov1-False-princomp-3] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke[cov0-0-True] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke[cov0-0-False] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke[cov0-2-True] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke[cov0-2-False] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke[cov1-0-True] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke[cov1-0-False] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke[cov1-2-True] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke[cov1-2-False] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_acorr_lm_smoke_no_autolag PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[None-0.25] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[None-0.5] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[None-0.75] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by1-0.25] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by1-0.5] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by1-0.75] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by2-0.25] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by2-0.5] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by2-0.75] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[x0-0.25] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[x0-0.5] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[x0-0.75] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by4-0.25] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by4-0.5] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_order_by[order_by4-0.75] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_centered[None] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_centered[0.33] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_smoke_centered[300] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_rainbow_exception PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_small_skip PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic.py::test_diagnostics_pandas PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic_other.py::TestCMTOLS::test_score PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic_other.py::TestCMTOLS::test_scorehc0 PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_diagnostic_other.py::TestCMTOLS::test_scoreopg PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_input_validation_nobs PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_input_validation_unknown_method PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_statistic_value_asym_method PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_statistic_value_emp_method PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_fallback_to_asym_method PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_statistics_for_2d_input PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_statistics_for_1d_input PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_results_on_the_iris_dataset SKIPPED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_results_on_the_quakes_dataset SKIPPED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_dcor PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_dcov PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_dist_dependant_measures.py::TestDistDependenceMeasures::test_dvar PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_effectsize.py::test_noncent_chi2 PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_effectsize.py::test_noncent_f PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_effectsize.py::test_noncent_t PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_gof.py::test_chisquare_power PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_gof.py::test_chisquare PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_gof.py::test_chisquare_effectsize PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_groups_sw.py::TestBalanced::test_values PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_groups_sw.py::TestBalanced::test_raises PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_groups_sw.py::TestUnBalanced::test_values PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_groups_sw.py::TestUnBalanced::test_raises PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::test_influence_glm_bernoulli PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceLogitGLMMLE::test_basics PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceLogitGLMMLE::test_plots PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceLogitGLMMLE::test_summary PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceLogitGLMMLE::test_looo PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceBinomialGLMMLE::test_basics PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceBinomialGLMMLE::test_plots PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceBinomialGLMMLE::test_summary PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceBinomialGLMMLE::test_looo PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceBinomialGLMMLE::test_r PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceGaussianGLMMLE::test_basics PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceGaussianGLMMLE::test_plots PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceGaussianGLMMLE::test_summary PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceGaussianGLMMLE::test_looo PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceGaussianGLMOLS::test_plots PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceGaussianGLMOLS::test_basics PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceGaussianGLMOLS::test_summary PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceLogitCompare::test_basics PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceLogitCompare::test_plots PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceLogitCompare::test_summary PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceProbitCompare::test_basics PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceProbitCompare::test_plots PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceProbitCompare::test_summary PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluenceProbitCompare::test_basics_specific PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluencePoissonCompare::test_basics PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluencePoissonCompare::test_plots PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_influence.py::TestInfluencePoissonCompare::test_summary PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_inter_rater.py::test_fleiss_kappa PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_inter_rater.py::test_fleis_randolph PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_inter_rater.py::TestUnweightedCohens::test_results PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_inter_rater.py::TestUnweightedCohens::test_option PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_inter_rater.py::TestWeightedCohens::test_results PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_inter_rater.py::TestWeightedCohens::test_option PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_inter_rater.py::test_cohenskappa_weights PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_inter_rater.py::test_cohens_kappa_irr PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_inter_rater.py::test_fleiss_kappa_irr PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_inter_rater.py::test_to_table PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_inter_rater.py::test_aggregate_raters PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_equi PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sdp PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester0-49] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester0-50] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester1-49] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester1-50] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester2-49] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester2-50] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester3-49] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester3-50] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester4-49] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester4-50] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester5-49] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[equi-tester5-50] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester0-49] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester0-50] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester1-49] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester1-50] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester2-49] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester2-50] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester3-49] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester3-50] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester4-49] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester4-50] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester5-49] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_testers[sdp-tester5-50] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sim[tester0-300-100-6-equi] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sim[tester0-300-100-6-sdp] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sim[tester1-300-100-3.5-equi] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sim[tester1-300-100-3.5-sdp] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sim[tester2-300-100-3.5-equi] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sim[tester2-300-100-3.5-sdp] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sim[tester3-3000-200-3.5-equi] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_knockoff.py::test_sim[tester3-3000-200-3.5-sdp] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_normal PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_normal_table PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_expon PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_pval_bounds PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_min_nobs PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_large_sample PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::TestLilliefors::test_x_dims PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::test_get_lilliefors_errors PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_lilliefors.py::test_ksstat PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_mediation.py::test_framing_example PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_mediation.py::test_framing_example_moderator PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_mediation.py::test_framing_example_formula PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_mediation.py::test_framing_example_moderator_formula PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_mediation.py::test_surv PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_meta.py::TestEffectsizeBinom::test_effectsize PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_meta.py::TestEffSmdMeta::test_smd PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_meta.py::TestMetaK1::test_tau_kacker PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_meta.py::TestMetaK1::test_pm PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_meta.py::TestMetaK1::test_dl PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_meta.py::TestMetaBinOR::test_basic PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_meta.py::TestMetaBinOR::test_plot PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_cov2corr PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom0] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom1] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom2] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom3] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom4] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom5] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom6] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom7] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom8] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom9] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion[mom10] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_multidimensional[test_vals0] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_multidimensional[test_vals1] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[cum2mc0] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[cum2mc1] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mc2cum] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mc2mnc] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mc2mvsk] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mnc2cum] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mnc2mc0] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mnc2mc1] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mvsk2mc] PASSED [ 29%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_moment_helpers.py::test_moment_conversion_types[mvsk2mnc] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests1::test_multi_pvalcorrection PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests2::test_multi_pvalcorrection PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests3::test_multi_pvalcorrection PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[BH-val0] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[BY-val1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Bonferroni-val2] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Hochberg-val3] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[Holm-val4] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[SidakSD-val5] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[SidakSS-val6] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[TSBH_0.05-val7] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection_rmethods[rawp-val8] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::TestMultiTests4::test_multi_pvalcorrection PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-b-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-s-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-sh-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hs-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-h-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-hommel-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_i-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_n-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbky-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_tsbh-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[0-fdr_gbs-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-b-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-s-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-sh-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hs-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-h-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-hommel-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_i-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_n-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbky-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_tsbh-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[1-fdr_gbs-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-b-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-s-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-sh-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hs-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-h-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-hommel-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_i-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_i-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_i-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_n-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbky-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbky-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbky-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbh-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbh-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_tsbh-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_gbs-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_gbs-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[2-fdr_gbs-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-b-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-b-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-b-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-s-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-s-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-s-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-sh-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-sh-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-sh-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hs-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hs-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hs-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-h-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-h-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-h-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hommel-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hommel-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-hommel-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_i-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_i-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_i-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_n-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_n-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_n-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbky-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbky-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbky-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbh-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbh-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_tsbh-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_gbs-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_gbs-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[3-fdr_gbs-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-b-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-b-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-b-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-s-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-s-0.05] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-s-0.1] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-sh-0.01] PASSED [ 30%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-sh-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-sh-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hs-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hs-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hs-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-h-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-h-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-h-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hommel-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hommel-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-hommel-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_i-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_i-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_i-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_n-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_n-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_n-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbky-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbky-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbky-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbh-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbh-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_tsbh-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_gbs-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_gbs-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[4-fdr_gbs-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-b-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-b-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-b-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-s-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-s-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-s-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-sh-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-sh-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-sh-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hs-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hs-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hs-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-h-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-h-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-h-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hommel-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hommel-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-hommel-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_i-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_i-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_i-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_n-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_n-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_n-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbky-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbky-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbky-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbh-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbh-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_tsbh-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_gbs-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_gbs-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[5-fdr_gbs-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-b-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-b-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-b-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-s-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-s-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-s-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-sh-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-sh-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-sh-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hs-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hs-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hs-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-h-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-h-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-h-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hommel-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hommel-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-hommel-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_i-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_i-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_i-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_n-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_n-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_n-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbky-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbky-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbky-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbh-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbh-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_tsbh-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_gbs-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_gbs-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[6-fdr_gbs-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-b-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-b-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-b-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-s-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-s-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-s-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-sh-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-sh-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-sh-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hs-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hs-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hs-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-h-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-h-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-h-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hommel-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hommel-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-hommel-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_i-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_i-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_i-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_n-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_n-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_n-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbky-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbky-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbky-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbh-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbh-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_tsbh-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_gbs-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_gbs-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[7-fdr_gbs-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-b-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-b-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-b-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-s-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-s-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-s-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-sh-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-sh-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-sh-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hs-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hs-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hs-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-h-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-h-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-h-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hommel-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hommel-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-hommel-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_i-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_i-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_i-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_n-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_n-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_n-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbky-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbky-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbky-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbh-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbh-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_tsbh-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_gbs-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_gbs-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[8-fdr_gbs-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-b-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-b-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-b-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-s-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-s-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-s-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-sh-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-sh-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-sh-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hs-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hs-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hs-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-h-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-h-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-h-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hommel-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hommel-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-hommel-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_i-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_i-0.05] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_i-0.1] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_n-0.01] PASSED [ 31%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_n-0.05] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_n-0.1] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbky-0.01] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbky-0.05] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbky-0.1] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbh-0.01] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbh-0.05] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_tsbh-0.1] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_gbs-0.01] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_gbs-0.05] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[9-fdr_gbs-0.1] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-b-0.01] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-b-0.05] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-b-0.1] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-s-0.01] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-s-0.05] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-s-0.1] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-sh-0.01] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-sh-0.05] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-sh-0.1] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-hs-0.01] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-hs-0.05] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-hs-0.1] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-h-0.01] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-h-0.05] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-h-0.1] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-hommel-0.01] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-hommel-0.05] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-hommel-0.1] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_i-0.01] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_i-0.05] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_i-0.1] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_n-0.01] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_n-0.05] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_n-0.1] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_tsbky-0.01] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_tsbky-0.05] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_tsbky-0.1] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_tsbh-0.01] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_tsbh-0.05] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_tsbh-0.1] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_gbs-0.01] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_gbs-0.05] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_pvalcorrection_reject[10-fdr_gbs-0.1] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_hommel PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_fdr_bky PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_fdr_twostage PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_issorted[b] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_issorted[fdr_bh] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_issorted[fdr_by] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_issorted[fdr_gbs] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_issorted[fdr_tsbh] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_issorted[fdr_tsbky] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_issorted[h] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_issorted[ho] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_issorted[hs] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_issorted[s] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_issorted[sh] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_floating_precision[b] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_floating_precision[fdr_bh] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_floating_precision[fdr_by] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_floating_precision[fdr_gbs] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_floating_precision[fdr_tsbh] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_floating_precision[fdr_tsbky] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_floating_precision[h] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_floating_precision[ho] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_floating_precision[hs] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_floating_precision[s] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_floating_precision[sh] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_tukeyhsd PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_local_fdr PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_null_distribution PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_null_constrained[True-True-True] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_null_constrained[True-True-False] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_null_constrained[True-False-True] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_null_constrained[True-False-False] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_null_constrained[False-True-True] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_null_constrained[False-True-False] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_null_constrained[False-False-True] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multi.py::test_null_constrained[False-False-False] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multivariate.py::test_mv_mean PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multivariate.py::test_mvmean_2indep PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multivariate.py::test_confint_simult PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multivariate.py::TestCovStructure::test_spherical PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multivariate.py::TestCovStructure::test_diagonal PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multivariate.py::TestCovStructure::test_blockdiagonal PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multivariate.py::TestCovStructure::test_covmat PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_multivariate.py::test_cov_oneway PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_nonparametric.py::test_mcnemar_exact PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_nonparametric.py::test_mcnemar_chisquare PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_nonparametric.py::test_mcnemar_vectorized PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_nonparametric.py::test_symmetry_bowker PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_nonparametric.py::test_cochransq PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_nonparametric.py::test_cochransq2 PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_nonparametric.py::test_cochransq3 PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_nonparametric.py::test_runstest PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_nonparametric.py::test_runstest_2sample PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_nonparametric.py::test_brunnermunzel_one_sided PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_nonparametric.py::test_brunnermunzel_two_sided PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_nonparametric.py::test_rank_compare_2indep1 PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_nonparametric.py::test_rank_compare_ord PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_nonparametric.py::test_rank_compare_vectorized PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oaxaca.py::TestOaxaca::test_results PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oaxaca.py::TestOaxacaNoSwap::test_results PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oaxaca.py::TestOaxacaPandas::test_results PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oaxaca.py::TestOaxacaPandasNoSwap::test_results PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oaxaca.py::TestOaxacaNoConstPassed::test_results PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oaxaca.py::TestOaxacaNoSwapNoConstPassed::test_results PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oaxaca.py::TestOaxacaPandasNoConstPassed::test_results PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oaxaca.py::TestOaxacaPandasNoSwapNoConstPassed::test_results PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oaxaca.py::TestOneModel::test_results PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oaxaca.py::TestZeroModel::test_results PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oaxaca.py::TestOmegaModel::test_results PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oaxaca.py::TestPooledModel::test_results PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oneway.py::test_oneway_effectsize PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oneway.py::test_effectsize_power PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oneway.py::test_effectsize_fstat PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oneway.py::test_effectsize_fstat_stata PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oneway.py::test_scale_transform[median] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oneway.py::test_scale_transform[mean] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oneway.py::test_scale_transform[trimmed] PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oneway.py::TestOnewayEquivalenc::test_equivalence_equal PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oneway.py::TestOnewayEquivalenc::test_equivalence_welch PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oneway.py::TestOnewayScale::test_means PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oneway.py::TestOnewayScale::test_levene PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oneway.py::TestOnewayScale::test_options PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oneway.py::TestOnewayScale::test_equivalence PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oneway.py::TestOnewayOLS::test_ols_noncentrality PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_oneway.py::test_simulate_equivalence PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_outliers_influence.py::test_reset_stata PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2::test_multicomptukey PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2::test_group_tukey PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2::test_shortcut_function PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2::test_plot_simultaneous_ci PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2::test_table_names_default_group_order PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2::test_table_names_custom_group_order PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2Pandas::test_multicomptukey PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2Pandas::test_group_tukey PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2Pandas::test_shortcut_function PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2Pandas::test_plot_simultaneous_ci PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2Pandas::test_table_names_default_group_order PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2Pandas::test_table_names_custom_group_order PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2Pandas::test_incorrect_output PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2s::test_multicomptukey PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2s::test_group_tukey PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2s::test_shortcut_function PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD2s::test_plot_simultaneous_ci PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD3::test_multicomptukey PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD3::test_group_tukey PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD3::test_shortcut_function PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD3::test_plot_simultaneous_ci PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD4::test_multicomptukey PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD4::test_group_tukey PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD4::test_shortcut_function PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD4::test_plot_simultaneous_ci PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_pairwise.py::TestTuckeyHSD4::test_hochberg_intervals PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_panel_robustcov.py::test_panel_robust_cov PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS1::test_power PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS1::test_positional PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS1::test_roots PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS1::test_power_plot PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS2::test_power PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS2::test_positional PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS2::test_roots PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS2::test_power_plot PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS3::test_power PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS3::test_positional PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS3::test_roots PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS3::test_power_plot PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS4::test_power PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS4::test_positional PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS4::test_roots PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS4::test_power_plot PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS5::test_power PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS5::test_positional PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS5::test_roots PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS5::test_power_plot PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS6::test_power PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS6::test_positional PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS6::test_roots PASSED [ 32%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerOneS6::test_power_plot PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS1::test_power PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS1::test_positional PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS1::test_roots PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS1::test_power_plot PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS2::test_power PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS2::test_positional PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS2::test_roots PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS2::test_power_plot PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS3::test_power PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS3::test_positional PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS3::test_roots PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS3::test_power_plot PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS4::test_power PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS4::test_positional PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS4::test_roots PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS4::test_power_plot PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS5::test_power PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS5::test_positional PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS5::test_roots PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS5::test_power_plot PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_power PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_positional PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_roots PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestTTPowerTwoS6::test_power_plot PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::test_normal_power_explicit PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_power PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_positional PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_roots PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower1::test_power_plot PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower2::test_power PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower2::test_positional PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower2::test_roots PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower2::test_power_plot PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp1::test_power PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp1::test_positional PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp1::test_roots PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp1::test_power_plot PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp2::test_power PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp2::test_positional PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp2::test_roots PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestNormalIndPower_onesamp2::test_power_plot PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestChisquarePower::test_power PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestChisquarePower::test_roots PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestChisquarePower::test_power_plot PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestChisquarePower::test_positional PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::test_ftest_power PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_power PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_positional PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_roots PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestAnovaPower::test_power_plot PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestPower::test_power PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestPower::test_positional PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestPower::test_roots PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestPower::test_power_plot SKIPPED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestPower::test_kwargs PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestPowerF2::test_power PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestPowerF2::test_positional PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestPowerF2::test_roots PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::TestFtestPowerF2::test_power_plot SKIPPED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::test_power_solver PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::test_power_solver_warn XFAIL [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_power.py::test_normal_sample_size_one_tail PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case0] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case1] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case2] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case3] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case4] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case5] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case6] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[agresti_coull-case7] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case0] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case1] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case2] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case3] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case4] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case5] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case6] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[normal-case7] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case0] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case1] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case2] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case3] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case4] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case5] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case6] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[beta-case7] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case0] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case1] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case2] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case3] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case4] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case5] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case6] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[wilson-case7] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case0] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case1] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case2] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case3] SKIPPED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case4] SKIPPED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case5] SKIPPED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case6] SKIPPED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion[jeffreys-case7] SKIPPED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[agresti_coull] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[normal] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[beta] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[wilson] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_proportion_ndim[jeffreys] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_samplesize_confidenceinterval_prop PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_proportion_effect_size PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_multinomial_proportions PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_multinomial_proportions_errors PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_multinomial_proportions_zeros PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::TestProportion::test_proptest PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::TestProportion::test_pairwiseproptest PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::TestProportion::test_number_pairs_1493 PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::TestProportion::test_default_values PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::TestProportion::test_scalar PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_binom_test PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_binom_rejection_interval PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_binom_tost PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_power_binom_tost PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_power_ztost_prop PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ztost PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_power_ztost_prop_norm PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_proportion_ztests PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_2indep PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_confint_2indep_propcis PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_score_test_2indep PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_test_2indep PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_equivalence_2indep PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_score_confint_koopman_nam PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_power_2indep PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count0] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count1] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count2] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count3] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count4] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count5] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count6] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count7] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count8] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count9] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count10] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count11] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count12] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count13] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count14] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-agresti_coull-count15] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count0] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count1] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count2] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count3] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count4] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count5] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count6] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count7] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count8] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count9] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count10] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count11] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count12] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count13] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count14] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-normal-count15] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count0] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count1] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count2] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count3] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count4] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count5] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count6] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count7] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count8] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count9] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count10] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count11] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count12] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count13] PASSED [ 33%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count14] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-beta-count15] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count0] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count1] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count2] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count3] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count4] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count5] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count6] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count7] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count8] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count9] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count10] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count11] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count12] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count13] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count14] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-wilson-count15] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count0] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count1] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count2] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count3] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count4] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count5] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count6] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count7] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count8] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count9] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count10] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count11] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count12] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count13] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count14] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-jeffreys-count15] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count0] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count1] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count2] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count3] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count4] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count5] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count6] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count7] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count8] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count9] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count10] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count11] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count12] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count13] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count14] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[False-binom_test-count15] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count0] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count1] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count2] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count3] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count4] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count5] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count6] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count7] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count8] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count9] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count10] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count11] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count12] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count13] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count14] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-agresti_coull-count15] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count0] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count1] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count2] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count3] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count4] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count5] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count6] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count7] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count8] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count9] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count10] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count11] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count12] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count13] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count14] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-normal-count15] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count0] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count1] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count2] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count3] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count4] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count5] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count6] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count7] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count8] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count9] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count10] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count11] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count12] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count13] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count14] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-beta-count15] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count0] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count1] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count2] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count3] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count4] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count5] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count6] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count7] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count8] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count9] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count10] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count11] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count12] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count13] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count14] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-wilson-count15] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count0] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count1] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count2] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count3] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count4] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count5] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count6] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count7] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count8] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count9] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count10] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count11] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count12] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count13] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count14] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-jeffreys-count15] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count0] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count1] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count2] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count3] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count4] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count5] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count6] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count7] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count8] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count9] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count10] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count11] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count12] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count13] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count14] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry[True-binom_test-count15] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count0-47] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count0-50] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count1-47] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count1-50] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count2-47] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count2-50] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count3-47] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count3-50] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count4-47] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count4-50] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count5-47] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count5-50] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count6-47] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count6-50] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count7-47] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count7-50] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count8-47] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count8-50] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count9-47] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count9-50] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count10-47] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count10-50] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count11-47] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count11-50] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count12-47] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count12-50] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count13-47] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count13-50] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count14-47] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count14-50] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count15-47] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count15-50] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count16-47] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count16-50] PASSED [ 34%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count17-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count17-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count18-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count18-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count19-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count19-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count20-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count20-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count21-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count21-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count22-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count22-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count23-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count23-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count24-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count24-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count25-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count25-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count26-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count26-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count27-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count27-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count28-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count28-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count29-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count29-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count30-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count30-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count31-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count31-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count32-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count32-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count33-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count33-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count34-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count34-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count35-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count35-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count36-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count36-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count37-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count37-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count38-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count38-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count39-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count39-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count40-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count40-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count41-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count41-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count42-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count42-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count43-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count43-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count44-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count44-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count45-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count45-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count46-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count46-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count47-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[False-count47-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count0-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count0-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count1-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count1-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count2-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count2-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count3-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count3-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count4-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count4-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count5-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count5-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count6-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count6-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count7-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count7-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count8-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count8-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count9-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count9-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count10-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count10-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count11-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count11-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count12-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count12-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count13-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count13-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count14-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count14-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count15-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count15-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count16-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count16-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count17-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count17-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count18-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count18-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count19-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count19-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count20-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count20-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count21-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count21-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count22-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count22-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count23-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count23-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count24-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count24-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count25-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count25-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count26-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count26-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count27-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count27-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count28-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count28-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count29-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count29-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count30-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count30-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count31-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count31-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count32-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count32-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count33-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count33-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count34-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count34-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count35-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count35-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count36-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count36-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count37-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count37-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count38-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count38-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count39-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count39-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count40-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count40-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count41-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count41-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count42-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count42-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count43-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count43-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count44-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count44-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count45-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count45-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count46-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count46-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count47-47] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_binom_test[True-count47-50] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_int_check PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count0] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count1] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count2] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count3] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count4] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count5] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count6] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count7] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count8] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count9] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count10] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count11] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count12] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count13] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count14] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[agresti_coull-count15] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count0] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count1] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count2] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count3] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count4] PASSED [ 35%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count5] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count6] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count7] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count8] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count9] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count10] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count11] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count12] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count13] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count14] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[normal-count15] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count0] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count1] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count2] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count3] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count4] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count5] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count6] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count7] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count8] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count9] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count10] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count11] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count12] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count13] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count14] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[beta-count15] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count0] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count1] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count2] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count3] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count4] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count5] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count6] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count7] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count8] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count9] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count10] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count11] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count12] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count13] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count14] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[wilson-count15] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count0] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count1] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count2] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count3] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count4] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count5] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count6] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count7] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count8] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count9] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count10] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count11] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count12] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count13] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count14] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[jeffreys-count15] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count0] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count1] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count2] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count3] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count4] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count5] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count6] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count7] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count8] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count9] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count10] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count11] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count12] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count13] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count14] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_proportion.py::test_ci_symmetry_array[binom_test-count15] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k0-0.01] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k0-0.05] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k1-0.01] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k1-0.05] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k2-0.01] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k2-0.05] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k3-0.01] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k3-0.05] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k4-0.01] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k4-0.05] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k5-0.01] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k5-0.05] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k6-0.01] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k6-0.05] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k7-0.01] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k7-0.05] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k8-0.01] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_qsturng.py::test_qstrung[k8-0.05] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[wald] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[score] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[exact-c] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[waldccv] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[sqrt-a] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[sqrt-v] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[midp-c] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_consistency[sqrt] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_r PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case0] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case1] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case2] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case3] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_tol_int[case4] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[wald] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[score] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[exact-c] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[midp-c] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[waldccv] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[sqrt-a] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[sqrt-v] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_test[sqrt] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[wald] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[score] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[exact-c] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[midp-c] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[jeff] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[waldccv] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-a] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-v] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-cent] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompar1samp::test_confint[sqrt-centcc] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_consistency[wald] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_consistency[score] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_consistency[waldccv] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_ratio_consistency[wald-log] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_ratio_consistency[score-log] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[wald] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[score] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[etest] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_rate_poisson_diff_ratio_consistency[etest-wald] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson_diff[case0] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson_diff[case1] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson_diff[case2] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson_diff[case3] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_twosample_poisson_r PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_confint_poisson_2indep PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_tost_poisson PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case0] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case1] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case2] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case3] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case4] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case5] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case6] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case7] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case8] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case9] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case10] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case11] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case12] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case13] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case14] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case15] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case16] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case17] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case18] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case19] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_alternative[case20] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-wald] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-score] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-score-log] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-wald-log] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-exact-cond] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-cond-midp] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-sqrt] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-etest-score] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[ratio-etest-wald] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[diff-wald] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[diff-score] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[diff-waldccv] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[diff-etest-score] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test[diff-etest-wald] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[ratio-waldcc] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[ratio-score] PASSED [ 36%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[ratio-score-log] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[ratio-wald-log] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[ratio-sqrtcc] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[ratio-mover] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[diff-wald] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[diff-score] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[diff-waldccv] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_confint[diff-mover] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-wald] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-score] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-score-log] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-wald-log] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-exact-cond] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-cond-midp] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-sqrt] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-etest-score] SKIPPED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[ratio-etest-wald] SKIPPED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[diff-wald] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[diff-score] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[diff-waldccv] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[diff-etest-score] SKIPPED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::TestMethodsCompare2indep::test_test_vectorized[diff-etest-wald] SKIPPED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_y_grid_regression PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_invalid_y_grid PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_poisson_power_2ratio PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_power_poisson_equal PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_rates_poisson.py::test_power_negbin PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_regularized_covariance.py::test_calc_nodewise_row PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_regularized_covariance.py::test_calc_nodewise_weight PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_regularized_covariance.py::test_calc_approx_inv_cov PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_regularized_covariance.py::test_fit PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_robust_compare.py::Test_Trim::test_trimboth PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_robust_compare.py::Test_Trim::test_trim_mean PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_robust_compare.py::TestTrimmedR1::test_basic PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_robust_compare.py::TestTrimmedR1::test_inference PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_robust_compare.py::TestTrimmedR1::test_other PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_robust_compare.py::TestTrimmedR1::test_vectorized[0] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_robust_compare.py::TestTrimmedR1::test_vectorized[1] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_robust_compare.py::TestTrimmedRAnova::test_oneway PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_sandwich.py::test_cov_cluster_2groups PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_sandwich.py::test_hac_simple PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::test_durbin_watson PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::test_omni_normtest PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::test_omni_normtest_axis PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::test_jarque_bera PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::test_shapiro PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::test_adnorm PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::test_durbin_watson_pandas PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_no_axis PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_1d PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_symmetric PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_nonzero PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_int PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_symmetry PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_medcouple_ties PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_durbin_watson PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_durbin_watson_2d PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_durbin_watson_3d PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_skewness_1d PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_skewness_1d_2d PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_skewness_symmetric PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_skewness_3d PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_skewness_4 PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_kurtosis_1d_2d PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_kurtosis PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_kurtosis_3d PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_kurtosis_excess_false PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_kurtosis_ab PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_statstools.py::TestStattools::test_robust_kurtosis_dg PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_tabledist.py::test_tabledist PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_tost.py::TestTostp1::test_pval PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_tost.py::TestTostp1::test_special PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_tost.py::TestTostp2::test_pval PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_tost.py::TestTosti1::test_pval PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_tost.py::TestTosti2::test_pval PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_tost.py::TestTostip1::test_pval PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_tost.py::TestTostip2::test_pval PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_tost.py::test_tost_log PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_tost.py::test_tost_asym PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_tost.py::test_ttest PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_tost.py::test_tost_transform_paired XFAIL [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1::test_mean PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1::test_sum PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1::test_var PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1::test_std PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1::test_sem PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1::test_quantiles PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_mean PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_sum PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_var PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_std PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_sem PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1t::test_quantiles PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_mean PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_sum PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_var PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_std PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_sem PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim1n::test_quantiles PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim2::test_mean PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim2::test_sum PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim2::test_var PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim2::test_std PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim2::test_sem PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestSim2::test_quantiles PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_weightstats_1 PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_weightstats_2 PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_weightstats_3 PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_weightstats_ddof_tests PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_comparemeans_convenient_interface PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats::test_comparemeans_convenient_interface_1d PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_basic PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_ttest PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_ttest_2sample PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats1d_ddof::test_confint_mean PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_basic PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_ttest PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_ttest_2sample PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_confint_mean PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d::test_corr PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_basic PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_ttest PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_ttest_2sample PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_confint_mean PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_ddof::test_corr PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_basic PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_ttest PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_ttest_2sample PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_confint_mean PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestWeightstats2d_nobs::test_corr PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::test_ttest_ind_with_uneq_var PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::test_ztest_ztost PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::TestZTest::test PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::test_weightstats_len_1 PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::test_weightstats_2d_w1 PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/tests/test_weightstats.py::test_weightstats_2d_w2 PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tests/test_package.py::test_lazy_imports PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tests/test_package.py::test_docstring_optimization_compat PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tests/test_x13.py::test_make_var_names PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_catadd.py::test_add_indep PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_data.py::test_missing_data_pandas PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_data.py::test_dataframe PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_data.py::test_patsy_577 PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_cache_readonly PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[test message-None-FutureWarning] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[test message-None-UserWarning] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[test message-0.11-FutureWarning] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[test message-0.11-UserWarning] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-None-FutureWarning] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-None-UserWarning] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-0.11-FutureWarning] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_decorators.py::test_deprecated_alias[None-0.11-UserWarning] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_remove_parameter PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_insert_parameters PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_set_unknown PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_replace_block PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_repeat PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_bad PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_empty_ds PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_yield_return PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_docstring.py::test_multiple_sig PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_eval_measures PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[aic-aic_sigma] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[aicc-aicc_sigma] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[bic-bic_sigma] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_ic_equivalence[hqic-hqic_sigma] PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_ic PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_eval_measures.py::test_iqr_axis PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_reindex PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_count_categories PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_sort PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_dataframe PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_array PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_transform_slices PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_dummies_groups PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestMultiIndexGrouping::test_dummy_sparse PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_reindex PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_count_categories PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_sort PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_dataframe PASSED [ 37%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_array PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_transform_slices PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_dummies_groups PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::TestIndexGrouping::test_dummy_sparse PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::test_init_api PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::test_combine_indices PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::test_group_sums PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::test_group_class PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_grouputils.py::test_dummy_sparse PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_linalg.py::test_stationary_solve_1d PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_linalg.py::test_stationary_solve_2d PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestGradMNLogit::test_score PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestGradMNLogit::test_hess PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestGradLogit::test_score PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestGradLogit::test_hess PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_fd PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_fdc PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_grad_fun1_cs PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_hess_fun1_fd PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun::test_hess_fun1_cs PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_fd PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_fdc PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_grad_fun1_cs PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_hess_fun1_fd PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun2::test_hess_fun1_cs PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_fd PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_fdc PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_grad_fun1_cs PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_hess_fun1_fd PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::TestDerivativeFun1::test_hess_fun1_cs PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::test_dtypes PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_numdiff.py::test_vectorized PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_parallel.py::test_parallel PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_rootfinding.py::test_brentq_expanding PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_sequences.py::test_discrepancy PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_sequences.py::test_van_der_corput PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_sequences.py::test_primes PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_sequences.py::test_halton PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_testing.py::test_bad_table PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_testing.py::test_holder PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_list PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_1d PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_has_constant1d PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_has_constant2d PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_series PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_dataframe PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_add_constant_zeros PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_recipr PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_recipr0 PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_extendedpinv PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_extendedpinv_singular PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestTools::test_fullrank PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_estimable PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_pandas_const_series PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_pandas_const_series_prepend PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_pandas_const_df PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::test_pandas_const_df_prepend PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_11 PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_12 PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_13 PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_14 PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_41 PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_23 PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_32 PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_24 PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_25 PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestNanDot::test_66 PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_enfore_numpy PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_pandas PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_tools.py::TestEnsure2d::test_numpy PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_transform_model.py::test_standardize1 PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_transform_model.py::test_standardize_ols PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_web.py::TestWeb::test_string PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_web.py::TestWeb::test_function PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_web.py::TestWeb::test_nothing PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/tests/test_web.py::TestWeb::test_errors PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_1d[True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_1d[False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_2d[True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_2d[False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_3d PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_right_squeeze_and_pad PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_contiguous PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dtype PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dot[True] XFAIL [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_dot[False] XFAIL [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_slice[True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::TestArrayLike::test_slice[False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_right_squeeze PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas[True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas[False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas_append PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_wrap_pandas_append_non_string PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[dict] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[OrderedDict] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[CustomDict] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like[None] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_dict_like_error PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_string PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_optional_string PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_float_like[1.0] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_float_like[1.1] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_float_like[floating2] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_float_like[floating3] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_float_like[(1.2+0j)] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[not_floating0] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[(1.2+1j)] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[3.2] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_float_like[None] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_int_like[1.0] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_int_like[2] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_int_like[integer2] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_int_like[integer3] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[3.2] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[not_integer1] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[(3+2j)] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[(2.3+0j)] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[apple] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[(1+0j)] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_int_like[not_integer6] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[1] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[1.2] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[a] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_bool_like[] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tools/validation/tests/test_validation.py::test_not_bool_like PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_aux PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_effects[case0] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_effects[case1] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_effects[case2] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_effects[case3] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/treatment/tests/test_teffects.py::TestTEffects::test_effects[case4] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-None-True-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-None-True-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-None-False-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-2-False-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-False-2-False-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-False-2-False-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-2-False-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-2-False-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-2-False-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-2-True-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-2-True-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-None-False-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-None-False-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-None-True-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-False-None-True-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-2-False-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-2-False-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-2-True-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-2-True-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-None-False-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-None-False-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-None-True-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-c-True-None-True-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-2-False-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-2-False-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-2-False-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-2-True-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-2-True-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-None-False-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-None-False-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-None-True-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-False-None-True-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-2-False-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-2-False-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-2-True-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-2-True-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-None-False-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-None-False-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-None-True-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-ct-True-None-True-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-2-False-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-False-2-False-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-False-2-False-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-False-2-True-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-False-2-True-True] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-False-None-False-False] PASSED [ 38%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-False-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-False-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-False-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-True-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-True-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-True-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-True-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-True-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-True-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-True-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-ct-True-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-False-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-False-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-False-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-False-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-False-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-False-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-False-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-False-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-False-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-True-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-True-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-True-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-True-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-True-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-True-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-True-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-ct-True-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-False-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-False-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-False-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-False-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-False-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-False-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-False-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-False-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-c-True-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-False-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-False-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-False-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-False-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-False-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-False-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-False-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-False-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order2-n-True-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-False-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-ct-True-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-False-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-False-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-ct-True-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-False-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-c-True-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-False-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order3-n-True-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-False-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-ct-True-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-False-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-ct-True-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-False-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-None-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-c-True-None-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-2-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-2-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-2-True-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-2-True-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-None-False-False] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-None-False-True] PASSED [ 39%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-False-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order3-n-True-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-False-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-ct-True-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-False-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-c-True-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-False-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order2-n-True-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-False-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-ct-True-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-False-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-ct-True-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-False-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-c-True-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-False-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-order1-n-True-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-False-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-c-True-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-False-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[lags3-2-n-True-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-False-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-ct-True-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-False-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-False-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-False-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-False-2-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-False-None-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-False-None-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-False-None-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-False-None-True-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-True-2-False-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-True-2-False-True] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-True-2-True-False] PASSED [ 40%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-True-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-True-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-True-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-True-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-c-True-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-False-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-False-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-False-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-False-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-False-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-False-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-False-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-False-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-True-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-True-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-True-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-True-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-True-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-True-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-True-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order3-n-True-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-False-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-False-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-False-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-False-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-False-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-False-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-False-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-False-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-True-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-True-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-True-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-True-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-True-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-True-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-True-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-c-True-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-False-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-False-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-False-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-False-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-False-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-False-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-False-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-False-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-True-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-True-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-True-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-True-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-True-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-True-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-True-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order3-n-True-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-False-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-False-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-False-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-False-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-False-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-False-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-False-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-True-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-True-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-True-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-True-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-True-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-True-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-True-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-ct-True-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-False-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-False-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-False-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-False-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-False-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-False-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-False-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-False-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-True-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-True-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-True-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-True-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-True-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-True-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-True-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-c-True-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-False-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-True-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-True-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-True-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-True-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-True-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-True-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-True-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-order1-n-True-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-False-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-False-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-False-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-False-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-False-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-False-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-False-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-False-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-True-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-True-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-True-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-True-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-True-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-True-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-True-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-c-True-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-False-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-False-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-False-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-False-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-False-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-False-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-False-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-False-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-True-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-True-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-True-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-True-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-True-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-True-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-True-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[3-2-n-True-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-False-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-False-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-False-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-False-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-False-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-False-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-False-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-True-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-True-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-True-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-True-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-True-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-True-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-True-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-ct-True-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-False-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-False-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-False-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-False-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-False-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-False-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-False-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-False-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-c-True-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-False-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-False-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-False-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-False-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-False-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-False-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-False-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-False-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-2-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-2-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-2-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-2-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-None-False-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-None-False-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-None-True-False] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order2-n-True-None-True-True] PASSED [ 41%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-False-2-False-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-False-2-False-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-False-2-True-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-False-2-True-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-False-None-False-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-False-None-False-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-False-None-True-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-False-None-True-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-2-False-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-2-False-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-2-True-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-2-True-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-None-False-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-None-False-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-None-True-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-c-True-None-True-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-False-2-False-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-False-2-False-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-False-2-True-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-False-2-True-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-False-None-False-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-False-None-False-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-False-None-True-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-False-None-True-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-2-False-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-2-False-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-2-True-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-2-True-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-None-False-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-None-False-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-None-True-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order2-n-True-None-True-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-2-False-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-2-True-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-2-True-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-None-False-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-None-False-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-None-True-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-False-None-True-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-2-False-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-2-False-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-2-True-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-2-True-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-None-False-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-None-False-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-None-True-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-ct-True-None-True-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-2-False-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-2-False-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-2-True-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-2-True-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-None-False-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-None-False-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-None-True-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-False-None-True-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-2-False-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-2-False-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-2-True-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-2-True-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-None-False-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-None-False-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-None-True-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-ct-True-None-True-True] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-2-False-False] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-False-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-False-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-True-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-True-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-False-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-False-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-True-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-True-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-False-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-False-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-True-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-True-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-False-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-False-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-True-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-True-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-False-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-False-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-True-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-True-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-False-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-False-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-True-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-True-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-False-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-False-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-True-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-True-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-False-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-False-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-True-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-True-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-False-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-False-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-True-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-True-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-False-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-False-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-True-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-True-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-False-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-False-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-True-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-True-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-False-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-False-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-True-False-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-True-True-None] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-False-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-False-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-True-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-2-True-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-False-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-False-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-True-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-False-None-True-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-False-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-False-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-True-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-2-True-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-False-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-False-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-True-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-ct-True-None-True-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-False-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-False-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-True-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-2-True-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-False-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-False-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-True-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-False-None-True-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-False-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-False-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-True-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-2-True-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-False-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-False-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-True-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-c-True-None-True-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-False-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-False-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-True-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-2-True-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-False-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-False-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-True-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-False-None-True-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-False-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-False-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-True-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-2-True-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-False-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-False-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-True-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-2-n-True-None-True-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-False-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-False-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-True-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-True-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-False-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-False-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-True-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-True-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-False-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-False-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-True-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-True-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-False-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-False-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-True-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-True-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-False-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-False-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-True-False-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-True-True-10] PASSED [ 42%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-False-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-False-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-True-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-2-True-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-False-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-False-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-True-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-False-None-True-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-False-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-False-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-True-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-2-True-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-False-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-False-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-True-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-ct-True-None-True-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-False-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-False-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-True-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-2-True-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-False-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-False-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-True-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-False-None-True-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-False-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-False-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-True-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-2-True-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-False-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-False-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-True-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-c-True-None-True-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-False-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-False-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-True-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-2-True-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-False-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-False-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-True-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-False-None-True-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-False-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-False-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-True-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-2-True-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-False-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-False-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-True-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-maxorder1-n-True-None-True-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-False-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-False-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-True-False-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-True-True-10] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-False-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-False-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-True-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-2-True-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-False-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-False-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-True-False-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-False-None-True-True-None] PASSED [ 43%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-2-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-ct-True-None-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-2-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-False-None-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-2-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-c-True-None-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-2-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-False-None-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-2-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[3-2-n-True-None-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-2-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-False-None-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-2-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-ct-True-None-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-2-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-False-None-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-2-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-c-True-None-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-2-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-False-None-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-2-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-False-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-False-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-True-False-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_select_order[0-maxorder1-n-True-None-True-True-None] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-2-False-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-2-False-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-2-True-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-False-2-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-2-True-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-False-2-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-None-False-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-None-False-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-None-True-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-False-None-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-False-None-True-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-False-None-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-2-False-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-2-False-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-2-True-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-True-2-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-2-True-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-True-2-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-None-False-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-None-False-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-None-True-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-True-None-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-ct-True-None-True-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-ct-True-None-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-2-False-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-2-False-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-2-True-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-False-2-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-2-True-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-False-2-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-None-False-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-None-False-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-None-True-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-False-None-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-False-None-True-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-False-None-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-2-False-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-2-False-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-2-True-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-True-2-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-2-True-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-True-2-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-None-False-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-None-False-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-None-True-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-True-None-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-c-True-None-True-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-c-True-None-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-2-False-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-2-False-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-2-True-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-False-2-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-2-True-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-False-2-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-None-False-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-None-False-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-None-True-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-False-None-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-False-None-True-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-False-None-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-2-False-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-2-False-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-2-True-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-True-2-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-2-True-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-True-2-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-None-False-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-None-False-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-None-True-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-True-None-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-2-n-True-None-True-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-2-n-True-None-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-2-False-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-2-False-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-2-True-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-False-2-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-2-True-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-False-2-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-None-False-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-None-False-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-None-True-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-False-None-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-False-None-True-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-False-None-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-2-False-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-2-False-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-2-True-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-True-2-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-2-True-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-True-2-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-None-False-False] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-None-False-True] PASSED [ 44%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-None-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-True-None-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-ct-True-None-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-ct-True-None-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-2-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-2-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-2-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-False-2-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-2-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-False-2-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-None-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-None-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-None-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-False-None-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-False-None-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-False-None-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-2-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-2-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-2-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-True-2-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-2-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-True-2-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-None-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-None-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-None-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-True-None-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-c-True-None-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-c-True-None-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-2-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-2-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-2-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-False-2-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-2-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-False-2-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-None-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-None-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-None-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-False-None-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-False-None-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-False-None-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-2-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-2-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-2-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-True-2-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-2-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-True-2-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-None-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-None-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-None-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-True-None-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[None-uecm_order1-n-True-None-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[None-uecm_order1-n-True-None-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-2-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-2-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-2-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-False-2-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-2-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-False-2-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-None-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-None-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-None-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-False-None-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-False-None-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-False-None-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-2-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-2-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-2-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-True-2-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-2-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-True-2-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-None-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-None-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-None-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-True-None-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-ct-True-None-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-ct-True-None-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-2-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-2-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-2-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-False-2-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-2-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-False-2-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-None-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-None-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-None-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-False-None-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-False-None-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-False-None-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-2-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-2-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-2-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-True-2-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-2-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-True-2-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-None-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-None-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-None-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-True-None-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-c-True-None-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-c-True-None-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-2-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-2-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-2-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-False-2-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-2-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-False-2-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-None-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-None-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-None-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-False-None-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-False-None-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-False-None-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-2-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-2-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-2-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-True-2-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-2-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-True-2-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-None-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-None-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-None-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-True-None-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-uecm_order1-n-True-None-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-uecm_order1-n-True-None-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-2-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-2-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-2-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-False-2-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-2-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-False-2-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-None-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-None-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-None-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-False-None-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-False-None-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-False-None-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-2-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-2-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-2-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-True-2-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-2-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-True-2-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-None-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-None-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-None-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-True-None-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-ct-True-None-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-ct-True-None-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-2-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-2-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-2-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-False-2-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-2-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-False-2-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-None-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-None-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-None-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-False-None-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-False-None-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-False-None-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-2-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-2-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-2-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-True-2-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-2-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-True-2-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-None-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-None-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-None-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-True-None-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-c-True-None-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-c-True-None-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-2-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-2-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-2-True-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-False-2-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-2-True-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-False-2-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-None-False-False] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-None-False-True] PASSED [ 45%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-None-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-False-None-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-False-None-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-False-None-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-2-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-2-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-2-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-True-2-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-2-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-True-2-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-None-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-None-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-None-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-True-None-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_init[3-2-n-True-None-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_model_formula[3-2-n-True-None-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-2-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-2-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-2-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-None-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-None-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-None-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-False-None-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-2-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-2-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-2-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-2-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-None-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-None-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-None-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[ct-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-None-None] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-None-0] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-None-2] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-None-4] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-20-None] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-20-0] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-20-2] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-20-20-4] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-None-None] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-None-0] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-None-2] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-None-4] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-20-None] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-20-0] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-20-2] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-False-True-20-4] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-ct-True-None-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[ct-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-None-None] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-None-0] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-None-2] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-None-4] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-20-None] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-20-0] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-20-2] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-20-20-4] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-None-None] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-None-0] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-None-2] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-None-4] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-20-None] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-20-0] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-20-2] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[ct-True-True-20-4] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-2-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-2-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-2-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-None-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-None-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-None-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-False-None-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-2-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-2-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-2-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-2-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-None-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-None-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-None-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-order1-n-True-None-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-2-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-2-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-2-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-2-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-None-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-None-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-None-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-False-None-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-2-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-2-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-2-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-2-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-None-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-None-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-None-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-c-True-None-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-2-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-2-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-2-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-2-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-None-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-None-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-None-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-False-None-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-2-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-2-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-2-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-2-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-None-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-None-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-None-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[0-2-n-True-None-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-2-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-2-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-2-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-None-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-None-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-None-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-False-None-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-2-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-2-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-2-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-2-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-None-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-None-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-None-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-c-True-None-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-False-2-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-False-2-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-False-2-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-False-2-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-False-None-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-False-None-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-False-None-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-False-None-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-2-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-2-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-2-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-2-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-None-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-None-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-None-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-order1-n-True-None-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-False-2-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-False-2-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-False-2-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-False-None-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-False-None-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-False-None-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-False-None-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-True-2-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-True-2-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-True-2-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-True-2-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-True-None-False-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-True-None-False-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-True-None-True-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[c-False] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-None-None] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-None-0] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-None-2] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-None-4] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-20-None] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-20-0] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-20-2] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-20-20-4] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-None-None] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-None-0] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-None-2] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-None-4] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-20-None] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-20-0] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-20-2] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-False-True-20-4] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-c-True-None-True-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[c-True] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-None-None] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-None-0] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-None-2] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-None-4] PASSED [ 46%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-20-None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-20-0] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-20-2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-20-20-4] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-None-None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-None-0] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-None-2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-None-4] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-20-None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-20-0] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-20-2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[c-True-True-20-4] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-False-2-False-True] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-False-2-True-False] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-False-2-True-True] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-False-None-False-False] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-False-None-False-True] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-False-None-True-False] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-False-None-True-True] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-2-False-True] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_exceptions[2-False] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-2-True-False] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-2-True-True] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_exceptions[2-True] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_replacements[2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_model_init[None-2-n-True-None-False-True] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_exceptions[None-False] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[n-False] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-None-None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-None-0] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-None-2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-None-4] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-20-None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-20-0] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-20-2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-20-20-4] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-None-None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-None-0] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-None-2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-None-4] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-20-None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-20-0] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-20-2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-False-True-20-4] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg[n-True] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-None-None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-None-0] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-None-2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-None-4] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-20-None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-20-0] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-20-2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-20-20-4] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-True-None-None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-True-None-0] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-True-None-2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-True-None-4] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-True-20-None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-True-20-0] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-True-20-2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_against_autoreg_predict_start_end[n-True-True-20-4] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_exceptions[None-True] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_replacements[None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_order_exceptions PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_order_keys_exceptions PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_deterministic_exceptions PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_holdback_exceptions PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_fixed_exceptions PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_no_regressors PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_only_y_lag PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_only_x PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_only_trend PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_only_seasonal PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_only_deterministic PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_no_endog_exog PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_no_exog PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_parameter_names PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_diagnostics_plot PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_invalid_init PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_oos_no_new_data PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_wrong_shape PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_prediction_wrong_shape_fixed PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_insuficient_oos PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_insuficient_data PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_forecast_date PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_get_prediction PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_smoke_plots[True-n] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_smoke_plots[True-c] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_smoke_plots[True-ct] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_smoke_plots[False-n] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_smoke_plots[False-c] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_ardl_smoke_plots[False-ct] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_from_ardl_none PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_errors PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_ci_repr[True-True] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_ci_repr[True-False] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_ci_repr[False-True] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_uecm_ci_repr[False-False] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test[1] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test[2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test[3] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test[4] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test[5] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_simulation[1] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_simulation[2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_simulation[3] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_simulation[4] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_simulation[5] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_seed[None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_seed[seed1] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_seed[0] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_seed[seed3] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_seed[seed4] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/ardl/tests/test_ardl.py::test_bounds_test_simulate_order PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_burg.py::test_brockwell_davis_example_513 PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_burg.py::test_brockwell_davis_example_514 PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_burg.py::test_itsmr PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_burg.py::test_nonstationary_series PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_burg.py::test_invalid PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_burg.py::test_misc PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_brockwell_davis_example_511 PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_itsmr PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_nonstationary_series PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_nonstationary_series_variance XFAIL [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_invalid PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_durbin_levinson.py::test_misc PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_brockwell_davis_example_661 PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_brockwell_davis_example_662 PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_integrated PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_integrated_invalid PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_results PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_iterations PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_misc PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_alternate_arma_estimators_valid PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_alternate_arma_estimators_invalid PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_gls.py::test_arma_kwargs PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_brockwell_davis_example_517 PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_itsmr PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_initial_order XFAIL [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_invalid_orders XFAIL [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_nonconsecutive_lags PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_unbiased_error PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_set_default_unbiased PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[2-ma_order0-None-None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[ar_order1-0-fixed_params1-None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[1-3-fixed_params2-invalid_fixed_params2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[ar_order3-ma_order3-fixed_params3-invalid_fixed_params3] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[0-0-fixed_params4-invalid_fixed_params4] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[5-ma_order5-fixed_params5-invalid_fixed_params5] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[0-2-fixed_params6-None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[1-0-fixed_params7-None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[ar_order8-3-fixed_params8-None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_validate_fixed_params[2-2-fixed_params9-None] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_package_fixed_and_free_params_info[fixed_params0-spec_ar_lags0-spec_ma_lags0-expected_bunch0] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_package_fixed_and_free_params_info[fixed_params1-spec_ar_lags1-spec_ma_lags1-expected_bunch1] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_package_fixed_and_free_params_info[fixed_params2-spec_ar_lags2-spec_ma_lags2-expected_bunch2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags0-free_lags0-fixed_params0-free_params0-spec_lags0-expected_all_params0] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags1-free_lags1-fixed_params1-free_params1-spec_lags1-expected_all_params1] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags2-free_lags2-fixed_params2-free_params2-spec_lags2-expected_all_params2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags3-free_lags3-fixed_params3-free_params3-spec_lags3-expected_all_params3] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags4-free_lags4-fixed_params4-free_params4-spec_lags4-expected_all_params4] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags5-free_lags5-fixed_params5-free_params5-spec_lags5-expected_all_params5] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags6-free_lags6-fixed_params6-free_params6-spec_lags6-expected_all_params6] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_stitch_fixed_and_free_params[fixed_lags7-free_lags7-fixed_params7-free_params7-spec_lags7-expected_all_params7] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_itsmr_with_fixed_params[fixed_params0] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_itsmr_with_fixed_params[fixed_params1] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_itsmr_with_fixed_params[fixed_params2] PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_unbiased_error_with_fixed_params PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_hannan_rissanen.py::test_set_default_unbiased_with_fixed_params PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_515 PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_ma_itsmr PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_ma_invalid PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_524 PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_524_variance XFAIL [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_525 PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_brockwell_davis_example_541 PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_statespace PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_statespace_seasonal PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_statespace_nonconsecutive PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_integrated PASSED [ 47%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_misc PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_innovations.py::test_innovations_mle_invalid PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_statespace.py::test_basic PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_statespace.py::test_start_params PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_brockwell_davis_example_511 PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_brockwell_davis_example_514 PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_itsmr PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_invalid PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/estimators/tests/test_yule_walker.py::test_invalid_xfail XFAIL [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_default_trend PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_invalid PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_yule_walker PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_burg PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_innovations PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_innovations_mle PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_statespace PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_low_memory PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_clone PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_constant_integrated_model_error PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_forecast PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_forecast_with_exog PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_append PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_append_with_exog PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_append_with_exog_and_trend PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_append_with_exog_pandas PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_cov_type_none PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_nonstationary_gls_error PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen_with_fixed_params[1-1-fixed_params0] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen_with_fixed_params[1-1-fixed_params1] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen_with_fixed_params[2-3-fixed_params2] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen_with_fixed_params[ar_order3-0-fixed_params3] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_hannan_rissanen_with_fixed_params[ar_order4-ma_order4-fixed_params4] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_reproducible_simulation[7] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_reproducible_simulation[RandomState] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_model.py::test_reproducible_simulation[default_rng] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_init PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_params_single PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_params_single_nonconsecutive PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_params_multiple PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_poly_short_lags PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_poly_short_lags_nonconsecutive PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_set_poly_longer_lags PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_is_stationary PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_is_invertible PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_is_valid PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_params.py::test_repr_str PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-0-0-0-params0-p] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-0-0-0-params1-p] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-0-0-0-params2-p] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[2-0-0-0-params3-p] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[20-0-0-0-params4-p] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-1-0-0-params5-p] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-1-1-4-params6-p] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-1-0-0-params7-p] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-1-1-4-params8-p] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-0-0-0-params9-q] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-0-0-0-params10-q] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-0-0-0-params11-q] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[2-0-0-0-params12-q] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[20-0-0-0-params13-q] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-1-0-0-params14-q] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[0-1-1-4-params15-q] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-1-0-0-params16-q] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification_ar_or_ma[1-1-1-4-params17-q] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-0-0-0-0-0-0-0-True-True-False] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-0-1-0-0-0-0-True-True-False] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-1-1-0-0-0-0-True-True-False] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-0-0-0-0-0-4-True-True-False] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-0-0-0-1-1-1-4-True-True-False] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-0-0-1-0-0-4-True-True-False] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-1-0-0-1-1-1-4-True-True-False] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-2-1-3-4-1-3-12-True-True-False] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-p8-0-0-1-0-0-4-True-True-False] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-0-0-0-0-0-Q9-4-True-True-False] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-p10-0-q10-P10-0-Q10-4-True-True-False] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-2-1-3-4-1-3-12-False-False-True] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-2-1-3-4-1-3-12-True-False-True] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-None-2-1-3-4-1-3-12-False-True-True] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[True-None-2-1-3-4-1-3-12-False-True-True] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-2-2-1-3-4-1-3-12-False-True-True] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[True-2-2-1-3-4-1-3-12-False-True-True] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[y-None-2-1-3-4-1-3-12-False-True-True] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[None-exog18-2-1-3-4-1-3-12-False-True-True] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[y-exog19-2-1-3-4-1-3-12-False-True-True] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[y-exog20-2-1-3-4-1-3-12-False-True-True] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[True-exog21-2-1-3-4-1-3-12-False-True-True] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_specification[y-2-2-1-3-4-1-3-12-False-True-True] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_misc PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_invalid PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order0-seasonal_order0-None-None-None-valid0] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order1-seasonal_order1-None-None-None-valid1] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order2-seasonal_order2-None-None-None-valid2] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order3-seasonal_order3-None-None-None-valid3] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order4-seasonal_order4-None-None-None-valid4] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order5-seasonal_order5-True-None-None-valid5] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order6-seasonal_order6-False-None-None-valid6] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order7-seasonal_order7-None-True-None-valid7] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order8-seasonal_order8-None-False-None-valid8] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_valid_estimators[order9-seasonal_order9-None-None-True-valid9] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_specification.py::test_invalid_estimator PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_int PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_list_int PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_tuple_int PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_ndarray_int PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_list_bool PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_tuple_bool PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_ndarray_bool PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_misc PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_standardize_lag_order_invalid PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/arima/tests/test_tools.py::test_validate_basic PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_pandas_nodates_index PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_predict_freq PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_keyerror_start_date PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_period_index PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_pandas_dates PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_base.py::test_get_predict_start_end PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_datetools.py::test_regex_matching_month PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_datetools.py::test_regex_matching_quarter PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_datetools.py::test_dates_from_range PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_basic[True] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_basic[False] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_dist[True-None] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_dist[True-norm] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_dist[True-t] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_dist[True-dist3] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_dist[False-None] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_dist[False-norm] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_dist[False-t] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_prediction.py::test_dist[False-dist3] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_unsupported PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_nonpandas PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_pandas_noindex PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_pandas_dates_daily PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_pandas_dates_monthly PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_increment_pandas_dates_nanosecond PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_range_index PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_rangeindex PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_prediction_rangeindex_withstep PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_custom_index PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_nonmonotonic_periodindex PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_nonfull_periodindex XFAIL [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tests/test_tsa_indexes.py::test_get_index_loc_quarterly PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_bking1d PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_bking2d PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_hpfilter PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_cfitz_filter PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_bking_pandas PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_cfitz_pandas PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_hpfilter_pandas PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_convolution PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_convolution2d PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_recursive PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_pandas PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_pandas2d PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::TestFilters::test_odd_length_filter PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/filters/tests/test_filters.py::test_pandas_freq_decorator PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_stl.py::test_smoke PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_stl.py::test_sharex PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_stl.py::test_equivalence_forecast[1-ETSModel] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_stl.py::test_equivalence_forecast[7-ETSModel] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_stl.py::test_equivalence_forecast[23-ETSModel] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_stl.py::test_exceptions PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_stl.py::test_get_prediction PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_stl.py::test_no_var_pred[True] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_stl.py::test_no_var_pred[False] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-True-None] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-True-4] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-True-12] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-False-None] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-False-4] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-True-False-12] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-True-None] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-True-4] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-True-12] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-False-None] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-False-4] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-True-False-False-12] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-True-None] PASSED [ 48%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-True-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-True-False-False-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-True-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-True-False-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-True-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-auto-False-False-False-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-True-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-True-False-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-True-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-True-False-False-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-True-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-True-False-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-True-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-additive-False-False-False-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-True-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-True-False-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-True-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-True-False-False-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-True-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-True-False-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-True-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: True-multiplicative-False-False-False-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-True-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-True-False-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-True-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-True-False-False-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-True-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-True-False-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-True-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-True-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-True-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-True-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-False-None] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-False-4] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-auto-False-False-False-False-12] PASSED [ 49%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-True-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-True-False-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-True-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-True-False-False-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-True-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-True-False-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-True-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-additive-False-False-False-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-True-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-True-False-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-True-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-True-False-False-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-True-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-True-False-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-True-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: array, exponential: False-multiplicative-False-False-False-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-True-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-True-False-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-True-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-True-False-False-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-True-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-True-False-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-True-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-auto-False-False-False-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-True-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-True-False-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-True-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-True-False-False-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-True-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-True-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-True-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-True-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-False-None] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-False-4] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-True-False-False-12] PASSED [ 50%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-True-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-additive-False-False-False-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-True-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-True-False-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-True-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-True-False-False-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-True-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-True-False-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-True-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: True-multiplicative-False-False-False-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-True-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-True-False-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-True-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-True-False-False-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-True-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-True-False-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-True-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-auto-False-False-False-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-True-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-True-False-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-True-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-True-False-False-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-True-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-True-False-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-True-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-additive-False-False-False-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-True-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-True-False-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-True-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-True-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-True-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-True-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-False-None] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-False-4] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-True-False-False-False-12] PASSED [ 51%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-True-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-True-False-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-True-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: dataframe, exponential: False-multiplicative-False-False-False-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-True-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-True-False-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-True-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-True-False-False-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-True-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-True-False-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-True-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-auto-False-False-False-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-True-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-True-False-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-True-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-True-False-False-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-True-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-True-False-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-True-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-additive-False-False-False-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-True-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-True-False-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-True-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-True-False-False-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-True-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-True-False-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-True-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: True-multiplicative-False-False-False-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-True-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-True-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-True-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-True-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-False-None] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-False-4] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-True-False-False-12] PASSED [ 52%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-True-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-True-False-False-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-True-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-True-False-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-True-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-auto-False-False-False-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-True-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-True-False-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-True-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-True-False-False-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-True-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-True-False-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-True-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-additive-False-False-False-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-True-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-True-False-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-True-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-True-False-False-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-True-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-True-False-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-True-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-True-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-False-None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_smoke[type: series, exponential: False-multiplicative-False-False-False-False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[datetime] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[period] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[range] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_alt_index[nofreq] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_no_freq PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: array, exponential: True] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: array, exponential: False] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: dataframe, exponential: True] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: dataframe, exponential: False] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: series, exponential: True] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_errors[type: series, exponential: False] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_pi_width PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: array, exponential: False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: dataframe, exponential: False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: True-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: True-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: False-4] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_forecast_seasonal_alignment[type: series, exponential: False-12] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/forecasting/tests/test_theta.py::test_auto PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_predict PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_ndarray PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_forecast XFAIL [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_simple_exp_smoothing PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt_damp_fit PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt_damp_r PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_hw_seasonal PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_hw_seasonal_add_mul PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_hw_seasonal_buggy PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_negative_multipliative[trend_seasonal0] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_negative_multipliative[trend_seasonal1] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_negative_multipliative[trend_seasonal2] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_dampen_no_trend[add] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_dampen_no_trend[mul] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_dampen_no_trend[None] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_invalid_seasonal[add] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_invalid_seasonal[mul] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_2d_data PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_infer_freq PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_start_params[mul-mul] PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_no_params_to_optimize PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_invalid_start_param_length PASSED [ 53%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_basin_hopping PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_debiased PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[add-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[mul-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[mul-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[mul-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[None-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[None-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_float_boxcox[None-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[add-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[add-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[add-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[mul-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[mul-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[mul-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[None-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[None-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_equivalence_cython_python[None-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_direct_holt_add PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_integer_array PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_damping_trend_zero PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_different_inputs PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-add-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-add-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-add-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-mul-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-mul-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-mul-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-None-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-None-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-True-None-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-add-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-add-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-add-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-mul-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-mul-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-mul-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-None-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-None-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[add-False-None-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-add-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-add-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-add-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-mul-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-mul-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-mul-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-None-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-None-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-True-None-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-add-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-add-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-add-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-mul-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-mul-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-mul-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-None-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-None-mul] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_expected_r[mul-False-None-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_keywords PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate_boxcox PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index[10] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index[100] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index[1000] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index[2000] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_error_dampen PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_error_boxcox PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_error_initialization PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[least_squares] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[basinhopping] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[L-BFGS-B] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[TNC] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[SLSQP] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[Powell] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[trust-constr] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_minimizer_kwargs_error PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_to_restricted_equiv[params0] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_to_restricted_equiv[params1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_to_restricted_equiv[params2] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_restricted_round_tip[params0] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_restricted_round_tip[params1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_restricted_round_tip[params2] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_bad_bounds PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_valid_bounds PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_fixed_basic PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_fixed_errors PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_brute[add-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_brute[add-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_brute[None-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_brute[None-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_fix_set_parameters PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_fix_unfixable PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_infeasible_bounds PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[None-None-estimated] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[None-None-heuristic] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[None-None-legacy-heuristic] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[None-add-estimated] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[None-add-heuristic] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[None-add-legacy-heuristic] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[add-None-estimated] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[add-None-heuristic] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[add-None-legacy-heuristic] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[add-add-estimated] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[add-add-heuristic] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initialization_methods[add-add-legacy-heuristic] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_attributes PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_summary_boxcox PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_simulate PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index_types[date_range] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index_types[period] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index_types[range] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index_types[irregular] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_boxcox_components PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_1_simulation[None-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_1_simulation[None-10] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_1_simulation[bootstrap-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_forecast_1_simulation[bootstrap-10] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[9-None-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[9-None-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[9-add-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[9-add-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[10-None-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[10-None-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[10-add-None] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_estimated_initialization_short_data[10-add-add] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_invalid_index PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_initial_level PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/tests/test_holtwinters.py::test_all_initial_values PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params0-ma_params0-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params1-ma_params1-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params2-ma_params2-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params3-ma_params3-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params4-ma_params4-1.123] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_algo_filter_kalman_filter[ar_params5-ma_params5-1.123] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_nonstationary[ar_params0] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_nonstationary[ar_params1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_arma_innovations.py::test_innovations_nonstationary[ar_params2] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_brockwell_davis_ex533 PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_brockwell_davis_ex534 PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params0-ma_params0-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params1-ma_params1-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params2-ma_params2-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params3-ma_params3-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params4-ma_params4-1.123] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_filter_kalman_filter[ar_params5-ma_params5-1.123] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params0-ma_params0-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params1-ma_params1-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params2-ma_params2-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params3-ma_params3-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params4-ma_params4-1.123] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_innovations_algo_direct_filter_kalman_filter[ar_params5-ma_params5-1.123] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params0-1-ma_params0-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params1-1-ma_params1-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params2-1-ma_params2-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params3-1-ma_params3-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params4-1-ma_params4-1.123] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params5-1-ma_params5-1.123] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_integrated_process[ar_params6-2-ma_params6-1.123] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params0-ma_params0-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params1-ma_params1-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params2-ma_params2-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params3-ma_params3-1] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params4-ma_params4-1.123] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/innovations/tests/test_cython_arma_innovations_fast.py::test_regression_with_arma_errors[ar_params5-ma_params5-1.123] PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/interp/tests/test_denton.py::test_denton_quarterly PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/interp/tests/test_denton.py::test_denton_quarterly2 PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::test_predict PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::test_conditional_loglikelihoods PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_llf PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_fit PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_fit_em PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_filter_output PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Short::test_smoother_output PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_llf PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_fit PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_fit_em PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_filtered_regimes PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_smoothed_regimes PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR4::test_bse PASSED [ 54%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_llf PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_fit PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_fit_em PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_smoothed_marginal_probabilities PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_predict PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR2Switch::test_bse PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_llf PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_fit PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_fit_em PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_filtered_regimes PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_smoothed_regimes PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1Switch::test_expected_durations PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_llf PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_fit PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_fit_em SKIPPED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_filtered_regimes PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_smoothed_regimes PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestHamiltonAR1SwitchTVTP::test_expected_durations PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_llf PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_fit SKIPPED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_fit_em SKIPPED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_filtered_regimes PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_smoothed_regimes PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardo::test_expected_durations PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_llf PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_fit SKIPPED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_fit_em SKIPPED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_filtered_regimes PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_smoothed_regimes PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_autoregression.py::TestFilardoPandas::test_expected_durations PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_summary PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_llf PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_fit PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_fit_em PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_filter_output PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_smoothed_marginal_probabilities PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_predict PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConst::test_bse PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_summary PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_llf PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_fit PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_fit_em PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_filter_output PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_smoother_output PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_hamilton_filter_order_zero PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_hamilton_filter_order_zero_with_tvtp PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstShort::test_hamilton_filter_shape_checks PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_summary PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_llf PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_fit PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_fit_em PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1::test_bse PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_summary PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_llf PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_fit_em PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_fit PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_predict PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog::test_bse PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog3::test_summary PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog3::test_llf PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog3::test_fit_em PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestFedFundsConstL1Exog3::test_fit PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_summary PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_llf PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_fit_em PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_fit PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestAreturnsConstL1Variance::test_bse PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestMumpspcNoconstL1Variance::test_summary PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestMumpspcNoconstL1Variance::test_llf PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestMumpspcNoconstL1Variance::test_fit PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::TestMumpspcNoconstL1Variance::test_fit_em PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::test_avoid_underflow PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_regression.py::test_exog_tvtp PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_params PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_init_endog PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_init_exog_tvtp PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_transition_matrix PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_initial_probabilities PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_logistic PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/regime_switching/tests/test_markov_switching.py::test_partials_logistic PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFM::test_posterior_mean PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFM::test_posterior_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMComplex::test_posterior_mean PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMComplex::test_posterior_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMAllMissing::test_posterior_mean PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMAllMissing::test_posterior_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMPartialMissing::test_posterior_mean PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMPartialMissing::test_posterior_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMMixedMissing::test_posterior_mean PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestDFMMixedMissing::test_posterior_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARME::test_posterior_mean PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARME::test_posterior_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEAllMissing::test_posterior_mean PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEAllMissing::test_posterior_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEPartialMissing::test_posterior_mean PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEPartialMissing::test_posterior_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEMixedMissing::test_posterior_mean PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestVARMEMixedMissing::test_posterior_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestSARIMAXME::test_posterior_mean PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestSARIMAXME::test_posterior_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestSARIMAXMEMissing::test_posterior_mean PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestSARIMAXMEMissing::test_posterior_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestUnobservedComponents::test_posterior_mean PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestUnobservedComponents::test_posterior_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestUnobservedComponentsMissing::test_posterior_mean PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::TestUnobservedComponentsMissing::test_posterior_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_simulation_smoothing.py::test_dfm PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_cfa_tvpvar.py::test_tvpvar PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_chandrasekhar.py::test_chandrasekhar_conventional PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_chandrasekhar.py::test_chandrasekhar_univariate PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_chandrasekhar.py::test_invalid PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_using_collapsed PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_forecasts PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_forecasts_error PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_forecasts_error_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_filtered_state PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_filtered_state_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_predicted_state PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_predicted_state_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_loglike PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_states PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_states_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_states_autocov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_measurement_disturbance SKIPPED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_measurement_disturbance_cov SKIPPED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_state_disturbance PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_smoothed_state_disturbance_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_simulation_smoothed_state PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_simulation_smoothed_measurement_disturbance PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventional::test_simulation_smoothed_state_disturbance PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_using_collapsed PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_forecasts PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_forecasts_error PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_forecasts_error_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_filtered_state PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_filtered_state_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_predicted_state PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_predicted_state_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_loglike PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_states PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_states_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_states_autocov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_measurement_disturbance SKIPPED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_state_disturbance PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_smoothed_state_disturbance_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_simulation_smoothed_state PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_simulation_smoothed_state_disturbance PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAlternate::test_using_alterate PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_using_collapsed PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_forecasts PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_forecasts_error PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_forecasts_error_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_filtered_state PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_filtered_state_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_predicted_state PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_predicted_state_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_loglike PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_states PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_states_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_states_autocov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_measurement_disturbance SKIPPED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_measurement_disturbance_cov SKIPPED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_state_disturbance PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_smoothed_state_disturbance_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_simulation_smoothed_state PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_simulation_smoothed_measurement_disturbance PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissing::test_simulation_smoothed_state_disturbance PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_using_collapsed PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_forecasts PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_forecasts_error PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_forecasts_error_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_filtered_state PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_filtered_state_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_predicted_state PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_predicted_state_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_loglike PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_states PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_states_cov PASSED [ 55%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_states_autocov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_measurement_disturbance SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_smoothed_state_disturbance_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_simulation_smoothed_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_simulation_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalPartialMissingAlternate::test_using_alterate PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_using_collapsed PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_forecasts PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_forecasts_error PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_forecasts_error_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_filtered_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_filtered_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_predicted_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_predicted_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_loglike PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_states PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_states_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_states_autocov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_measurement_disturbance SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_measurement_disturbance_cov SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_smoothed_state_disturbance_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_simulation_smoothed_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_simulation_smoothed_measurement_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissing::test_simulation_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_using_collapsed PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_forecasts PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_forecasts_error PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_forecasts_error_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_filtered_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_filtered_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_predicted_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_predicted_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_loglike PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_states PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_states_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_states_autocov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_measurement_disturbance SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_smoothed_state_disturbance_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_simulation_smoothed_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_simulation_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateConventionalAllMissingAlternate::test_using_alterate PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_using_collapsed PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_forecasts PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_forecasts_error PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_forecasts_error_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_filtered_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_filtered_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_predicted_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_predicted_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_loglike PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_states PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_states_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_states_autocov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_measurement_disturbance SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_measurement_disturbance_cov SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_smoothed_state_disturbance_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_simulation_smoothed_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_simulation_smoothed_measurement_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariate::test_simulation_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_using_collapsed PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_forecasts PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_forecasts_error PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_forecasts_error_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_filtered_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_filtered_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_predicted_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_predicted_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_loglike PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_states PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_states_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_states_autocov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_measurement_disturbance SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_smoothed_state_disturbance_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_simulation_smoothed_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_simulation_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAlternate::test_using_alterate PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_using_collapsed PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_forecasts PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_forecasts_error PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_forecasts_error_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_filtered_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_filtered_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_predicted_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_predicted_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_loglike PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_states PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_states_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_states_autocov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_measurement_disturbance SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_measurement_disturbance_cov SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_smoothed_state_disturbance_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_simulation_smoothed_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_simulation_smoothed_measurement_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissing::test_simulation_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_using_collapsed PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_forecasts PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_forecasts_error PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_forecasts_error_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_filtered_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_filtered_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_predicted_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_predicted_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_loglike PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_states PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_states_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_states_autocov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_measurement_disturbance SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_smoothed_state_disturbance_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_simulation_smoothed_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_simulation_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariatePartialMissingAlternate::test_using_alterate PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_using_collapsed PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_forecasts PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_forecasts_error PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_forecasts_error_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_filtered_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_filtered_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_predicted_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_predicted_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_loglike PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_states PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_states_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_states_autocov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_measurement_disturbance SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_measurement_disturbance_cov SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_smoothed_state_disturbance_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_simulation_smoothed_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_simulation_smoothed_measurement_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissing::test_simulation_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_using_collapsed PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_forecasts PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_forecasts_error PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_forecasts_error_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_filtered_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_filtered_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_predicted_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_predicted_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_loglike PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_states PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_states_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_states_autocov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_measurement_disturbance SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_measurement_disturbance_cov SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_smoothed_state_disturbance_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_simulation_smoothed_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_simulation_smoothed_measurement_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_simulation_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestTrivariateUnivariateAllMissingAlternate::test_using_alterate PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_using_collapsed PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_forecasts PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_forecasts_error PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_forecasts_error_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_filtered_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_filtered_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_predicted_state PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_predicted_state_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_loglike PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_states PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_states_cov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_states_autocov PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_measurement_disturbance SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_measurement_disturbance_cov SKIPPED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_state_disturbance PASSED [ 56%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_smoothed_state_disturbance_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_simulation_smoothed_state PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_simulation_smoothed_measurement_disturbance SKIPPED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFM::test_simulation_smoothed_state_disturbance PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_using_collapsed PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_forecasts PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_forecasts_error PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_forecasts_error_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_filtered_state PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_filtered_state_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_predicted_state PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_predicted_state_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_loglike PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_states PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_states_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_states_autocov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_measurement_disturbance SKIPPED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_measurement_disturbance_cov SKIPPED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_state_disturbance PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smoothed_state_disturbance_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_simulation_smoothed_state PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_simulation_smoothed_measurement_disturbance SKIPPED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_simulation_smoothed_state_disturbance PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMClassicalSmoothing::test_smooth_method PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_using_collapsed PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_forecasts PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_forecasts_error PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_forecasts_error_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_filtered_state PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_filtered_state_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_predicted_state PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_predicted_state_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_loglike PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_states PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_states_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_states_autocov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_measurement_disturbance SKIPPED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_measurement_disturbance_cov SKIPPED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_simulation_smoothed_state PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_simulation_smoothed_measurement_disturbance SKIPPED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_simulation_smoothed_state_disturbance PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMUnivariateSmoothing::test_smooth_method PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_using_collapsed PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_forecasts PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_forecasts_error PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_forecasts_error_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_filtered_state PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_filtered_state_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_predicted_state PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_predicted_state_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_loglike PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_states PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_states_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_states_autocov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_measurement_disturbance SKIPPED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_measurement_disturbance_cov SKIPPED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_simulation_smoothed_state PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_simulation_smoothed_measurement_disturbance SKIPPED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_simulation_smoothed_state_disturbance PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMAlternativeSmoothing::test_smooth_method PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_using_collapsed PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_forecasts PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_forecasts_error PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_forecasts_error_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_filtered_state PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_filtered_state_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_predicted_state PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_predicted_state_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_loglike PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_states PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_states_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_states_autocov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_measurement_disturbance_cov SKIPPED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_state_disturbance_cov PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_simulation_smoothed_state PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_state_disturbance PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_smoothed_measurement_disturbance PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_simulation_smoothed_measurement_disturbance PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::TestDFMMeasurementDisturbance::test_simulation_smoothed_state_disturbance PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_collapsed.py::test_dfm_missing PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_concentrated.py::test_concentrated_loglike_sarimax PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_concentrated.py::test_concentrated_predict_sarimax PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_concentrated.py::test_fixed_scale_sarimax PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_concentrated.py::test_concentrated_scale_conventional PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_concentrated.py::test_concentrated_scale_univariate PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-True-True-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-True-True-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-True-False-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-True-False-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-False-True-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-False-True-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-False-False-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[True-False-False-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-True-True-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-True-True-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-True-False-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-True-False-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-False-True-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-False-True-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-False-False-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood[False-False-False-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-True-True-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-True-True-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-True-False-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-True-False-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-False-True-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-False-True-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-False-False-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[True-False-False-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-True-True-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-True-True-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-True-False-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-True-False-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-False-True-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-False-True-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-False-False-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_extras[False-False-False-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate[True-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate[True-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate[False-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate[False-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[True-True-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[True-True-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[True-False-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[True-False-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[False-True-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[False-True-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[False-False-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_memory_no_likelihood_multivariate_extra[False-False-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_fit PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_low_memory_filter PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_low_memory_fit PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_fittedvalues_resid_predict[510] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_fittedvalues_resid_predict[2] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_get_prediction_memory_conserve PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_conserve_memory.py::test_invalid_fittedvalues_resid_predict PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-False-n-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-False-n-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-False-c-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-False-c-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-False-t-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-False-t-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-True-n-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-True-n-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-True-c-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-True-c-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-True-t-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[False-True-t-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-False-n-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-False-n-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-False-c-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-False-c-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-False-t-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-False-t-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-True-n-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-True-n-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-True-c-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-True-c-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-True-t-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_sarimax[True-True-t-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_varmax[n-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_varmax[n-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_varmax[c-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_varmax[c-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_varmax[t-False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_varmax[t-True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_dfm_mq PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_TVSS[False] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_decompose.py::test_smoothed_decomposition_TVSS[True] PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_params PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_results PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_plot_coefficients_of_determination PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_no_enforce PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_mle PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_loglike PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_aic PASSED [ 57%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_bic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_dynamic_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor::test_bse_approx PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_params PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_results PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_plot_coefficients_of_determination PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_no_enforce PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_loglike PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_dynamic_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_mle PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_bse PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_aic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_bic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor2::test_summary PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_params PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_results PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_plot_coefficients_of_determination PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_no_enforce PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_mle PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_loglike PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_aic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_bic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_dynamic_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog1::test_bse_approx PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_params PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_results PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_plot_coefficients_of_determination PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_no_enforce PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_mle PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_loglike PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_aic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_bic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_bse_approx PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_dynamic_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_exog2::test_summary PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_params PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_results PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_plot_coefficients_of_determination PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_no_enforce PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_loglike PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_aic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_bic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_dynamic_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_bse_approx PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_mle SKIPPED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_general_errors::test_summary PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_params PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_results PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_plot_coefficients_of_determination PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_no_enforce PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_loglike PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_aic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_bic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_dynamic_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_bse_approx PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_ar2_errors::test_mle PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_params PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_results PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_plot_coefficients_of_determination PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_no_enforce PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_mle PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_loglike PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_aic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_bic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_bse_approx PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestDynamicFactor_scalar_error::test_dynamic_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_params PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_results PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_plot_coefficients_of_determination PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_no_enforce PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_mle PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_loglike PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_aic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_dynamic_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_bse_approx PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestStaticFactor::test_bic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_params PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_results PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_plot_coefficients_of_determination PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_no_enforce PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_mle PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_loglike PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_aic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_bic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_bse_approx PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR::test_dynamic_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_params PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_results PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_plot_coefficients_of_determination PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_no_enforce PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_loglike PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_aic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_bic PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_bse_approx PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_dynamic_predict PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::TestSUR_autocorrelated_errors::test_mle PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_misspecification PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_miscellaneous PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_predict_custom_index PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_forecast_exog PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_recreate_model PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_append_results PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_extend_results PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_apply_results PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor.py::test_start_params_nans PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_default PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_k_factors_gt1 PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_factor_order_gt1 PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_k_factors_gt1_factor_order_gt1 PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_k_factors_gt1_factor_order_gt1_no_idiosyncratic_ar1 PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_invalid_model_specification PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[ME-QE] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[ME-QE-DEC] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[ME-QE-JAN] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[ME-QS] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[ME-QS-DEC] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[ME-QS-APR] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[MS-QE] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[MS-QE-DEC] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[MS-QE-JAN] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[MS-QS] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[MS-QS-DEC] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_date_indexes[MS-QS-APR] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_results_factors PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_coefficient_of_determination PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_quasi_newton_fitting PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_summary PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_append_extend_apply PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_news_monthly PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_news_MQ PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_ar6_no_quarterly PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_idiosyncratic_ar1_False PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_invalid_standardize_1d PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_1d[standardize0-True] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_1d[standardize0-False] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_1d[standardize1-True] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_1d[standardize1-False] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_1d[standardize2-True] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_1d[standardize2-False] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_1d[standardize3-True] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_1d[standardize3-False] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_2d[standardize0-True] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_2d[standardize0-False] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_2d[standardize1-True] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_2d[standardize1-False] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_2d[standardize2-True] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_simulate_standardized_2d[standardize2-False] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_monthly[True-1-True] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_monthly[True-1-False] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_monthly[True-2-True] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_monthly[True-2-False] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_monthly[False-1-True] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_monthly[False-1-False] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_monthly[False-2-True] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_monthly[False-2-False] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_MQ[True] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq.py::test_standardized_MQ[False] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[111] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[112] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[11F] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[221] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[222] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[22F] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[block_111] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[block_112] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[block_221] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_known[block_222] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep1[11] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep1[22] PASSED [ 58%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep1[block_11] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep1[block_22] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[1-1-1-True] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[3-1-1-True] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[1-6-1-True] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[3-6-1-True] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[1-1-1-False] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[3-1-1-False] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[1-6-1-False] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[3-6-1-False] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[k_factors8-factor_orders8-1-True] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[k_factors9-factor_orders9-1-False] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[k_factors10-factor_orders10-factor_multiplicities10-True] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_missing[k_factors11-factor_orders11-factor_multiplicities11-False] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[1-1-1-True] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[3-1-1-True] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[1-6-1-True] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[3-factor_orders3-1-True] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[1-1-1-False] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[3-1-1-False] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[1-6-1-False] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[3-factor_orders7-1-False] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[k_factors8-factor_orders8-1-True] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[k_factors9-factor_orders9-1-False] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[k_factors10-factor_orders10-factor_multiplicities10-True] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_emstep_methods_nonmissing[k_factors11-factor_orders11-factor_multiplicities11-False] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_news[news_112] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_news[news_222] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_news[news_block_112] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_frbny_nowcast.py::test_news[news_block_222] PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_k_factor1 SKIPPED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_k_factor1_factor_order_6 PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_k_factor2_factor_order_6 SKIPPED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_two_blocks_factor_orders_6 SKIPPED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestLocalLevelAnalytic::test_results PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestLocalLevelAnalyticDirect::test_results PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestLocalLinearTrendAnalytic::test_results PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestLocalLinearTrendAnalyticDirect::test_results PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestLocalLinearTrendAnalyticMissing::test_results PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_common_level_analytic PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_common_level_restricted_analytic PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_filtered_state PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_filtered_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_state PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_kalman_gain PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_loglike PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_autocov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_measurement_disturbance PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_disturbance PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothed_state_disturbance_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_smoothing_error SKIPPED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_estimator PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_estimator_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_forecasts_error_diffuse_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_predicted_diffuse_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_state XFAIL [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_nobs_diffuse PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_initialization PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_Approx::test_initialization_approx PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_filtered_state PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_filtered_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_state PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_kalman_gain PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_loglike PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_autocov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_measurement_disturbance PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_disturbance PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothed_state_disturbance_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_smoothing_error SKIPPED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_estimator PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_forecasts_error_diffuse_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_predicted_diffuse_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_state XFAIL [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_nobs_diffuse PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1_KFAS::test_initialization PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_filtered_state PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_filtered_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_state PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_kalman_gain PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_loglike PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_autocov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_measurement_disturbance PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_disturbance PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_state_disturbance_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothing_error SKIPPED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_estimator PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_estimator_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_forecasts_error_diffuse_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_predicted_diffuse_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_state XFAIL [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_nobs_diffuse PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_initialization PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_initialization_approx PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_filtered_state PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_filtered_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_state PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_kalman_gain PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_loglike PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_autocov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_measurement_disturbance PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_disturbance PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothed_state_disturbance_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_smoothing_error SKIPPED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_estimator PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_forecasts_error_diffuse_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_predicted_diffuse_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_state XFAIL [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_nobs_diffuse PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1MeasurementError_KFAS::test_initialization PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_filtered_state PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_filtered_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_state PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_kalman_gain PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_loglike PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_autocov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_measurement_disturbance PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_disturbance PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_disturbance_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothing_error SKIPPED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_estimator PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_estimator_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_forecasts_error_diffuse_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_predicted_diffuse_state_cov PASSED [ 59%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_state XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_initialization PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_nobs_diffuse PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_initialization_approx PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_Approx::test_smoothed_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_filtered_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_filtered_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_kalman_gain PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_loglike PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_autocov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_measurement_disturbance PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_disturbance PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothed_state_disturbance_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_smoothing_error SKIPPED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_estimator PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error_diffuse_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_predicted_diffuse_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_state XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_initialization PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_nobs_diffuse PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Missing_KFAS::test_forecasts_error_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_filtered_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_filtered_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_kalman_gain PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_loglike PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_autocov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_measurement_disturbance PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_disturbance PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothed_state_disturbance_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_smoothing_error SKIPPED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_estimator PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_predicted_diffuse_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_state XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_nobs_diffuse PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_initialization PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_Approx::test_initialization_approx PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_filtered_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_kalman_gain PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_loglike PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_autocov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_measurement_disturbance PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_disturbance PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state_disturbance_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothing_error SKIPPED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_estimator PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_forecasts_error_diffuse_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_diffuse_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_state XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_nobs_diffuse PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_initialization PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_predicted_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_filtered_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestVAR1Mixed_KFAS::test_smoothed_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_filtered_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_filtered_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_kalman_gain PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_loglike PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_autocov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_measurement_disturbance PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_disturbance PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothed_state_disturbance_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_smoothing_error SKIPPED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_estimator PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_predicted_diffuse_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_state XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_nobs_diffuse PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_initialization PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_Approx::test_initialization_approx PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_filtered_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_kalman_gain PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_loglike PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_autocov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_measurement_disturbance PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_measurement_disturbance_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_disturbance PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state_disturbance_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothing_error SKIPPED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_estimator PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_forecasts_error_diffuse_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_diffuse_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse_estimator PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_state XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_measurement_disturbance XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_simulation_smoothed_state_disturbance XFAIL [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_nobs_diffuse PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_initialization PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_predicted_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_filtered_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFM_KFAS::test_smoothed_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_filtered_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_filtered_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_kalman_gain PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_loglike PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_autocov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_measurement_disturbance PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_measurement_disturbance_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_disturbance PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothed_state_disturbance_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_smoothing_error SKIPPED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_estimator PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_forecasts_error_diffuse_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_predicted_diffuse_state_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse_estimator PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse1_estimator_cov PASSED [ 60%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_scaled_smoothed_diffuse2_estimator_cov PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_state XFAIL [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_measurement_disturbance XFAIL [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_simulation_smoothed_state_disturbance XFAIL [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_nobs_diffuse PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_initialization PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::TestDFMCollapsed_Approx::test_initialization_approx PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_irrelevant_state XFAIL [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exact_diffuse_filtering.py::test_nondiagonal_obs_cov PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_fitted PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_output PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_forecasts PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_conf_int PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_initial_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed02::test_misc PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_fitted PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_output PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_forecasts PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_conf_int PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_initial_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPFixed06::test_misc PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_fitted PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_output PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_forecasts PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_conf_int PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_initial_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESFPPEstimated::test_misc PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_fitted PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_output PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_forecasts PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_conf_int PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_initial_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_misc PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESETSEstimated::test_mle_estimates PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_fitted PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_output PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_forecasts PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_initial_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_misc PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltFPPFixed::test_conf_int PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_fitted PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_output PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_forecasts PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_conf_int PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_initial_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedFPPEstimated::test_misc PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_fitted PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_output PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_forecasts PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_conf_int PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_initial_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_misc PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedETSEstimated::test_mle_estimates PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_fitted PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_output PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_forecasts PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_conf_int PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_initial_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersFPPEstimated::test_misc PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_fitted PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_output PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_forecasts PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_conf_int PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_initial_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersETSEstimated::test_misc PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_fitted PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_output PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_forecasts PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_conf_int PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_initial_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_misc PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedETSEstimated::test_mle_estimates PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_fitted PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_output PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_forecasts PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_initial_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_misc PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_conf_int PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendETSEstimated::test_mle_estimates PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESKnownInitialization::test_given_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESKnownInitialization::test_estimated_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltKnownInitialization::test_given_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltKnownInitialization::test_estimated_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedKnownInitialization::test_given_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedKnownInitialization::test_estimated_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersKnownInitialization::test_given_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersKnownInitialization::test_estimated_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedKnownInitialization::test_given_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedKnownInitialization::test_estimated_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendKnownInitialization::test_given_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendKnownInitialization::test_estimated_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESHeuristicInitialization::test_heuristic PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltHeuristicInitialization::test_heuristic PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedHeuristicInitialization::test_heuristic PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersHeuristicInitialization::test_heuristic PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedHeuristicInitialization::test_heuristic PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendHeuristicInitialization::test_heuristic PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::test_concentrated_initialization PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESConcentratedInitialization::test_given_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestSESConcentratedInitialization::test_estimated_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltConcentratedInitialization::test_given_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltConcentratedInitialization::test_estimated_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedConcentratedInitialization::test_given_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltDampedConcentratedInitialization::test_estimated_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersConcentratedInitialization::test_given_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersConcentratedInitialization::test_estimated_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedConcentratedInitialization::test_given_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersDampedConcentratedInitialization::test_estimated_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendConcentratedInitialization::test_given_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestHoltWintersNoTrendConcentratedInitialization::test_estimated_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_fitted PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_output PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_forecasts PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_initial_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_states PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_misc PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::TestMultiIndex::test_conf_int PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::test_invalid PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_exponential_smoothing.py::test_parameterless_model PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_fixed_params.py::test_fix_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_fixed_params.py::test_nested_fix_params PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_fixed_params.py::test_results_append PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_fixed_params.py::test_results_extend PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_fixed_params.py::test_results_apply PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_fixed_params.py::test_mle_validate PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_fixed_params.py::test_sarimax_validate PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_fixed_params.py::test_structural_validate PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_fixed_params.py::test_dynamic_factor_validate PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_fixed_params.py::test_varmax_validate PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_fixed_params.py::test_sarimax_nonconsecutive PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_fixed_params.py::test_structural PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_fixed_params.py::test_dynamic_factor_diag_error_cov PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_fixed_params.py::test_score_shape PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_forecasting.py::test_append_multistep[list] PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_forecasting.py::test_append_multistep[numpy] PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_forecasting.py::test_append_multistep[range] PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_forecasting.py::test_append_multistep[date] PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_forecasting.py::test_append_multistep[period] PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_sarimax PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_structural PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_varmax PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_dynamic_factor PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_time_varying_ssm PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_time_varying_in_sample PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_time_varying_out_of_sample PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_time_varying_in_sample_anchored PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_time_varying_out_of_sample_anchored PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_time_varying_out_of_sample_anchored_end PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_pandas_univariate_rangeindex PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_pandas_univariate_dateindex PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_pandas_multivariate_rangeindex PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_pandas_multivariate_dateindex PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_impulse_responses.py::test_pandas_anchor PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_initialization.py::test_global_known PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_initialization.py::test_global_diffuse PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_initialization.py::test_global_approximate_diffuse PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_initialization.py::test_global_stationary PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_initialization.py::test_mixed_basic PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_initialization.py::test_mixed_stationary PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_initialization.py::test_nested PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_initialization.py::test_invalid PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Single::test_pickled_filter SKIPPED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Single::test_copied_filter SKIPPED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Single::test_loglike SKIPPED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Single::test_filtered_state SKIPPED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Double::test_loglike PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Double::test_filtered_state PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Double::test_pickled_filter PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Double::test_copied_filter PASSED [ 61%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987SingleComplex::test_pickled_filter SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987SingleComplex::test_copied_filter SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987SingleComplex::test_loglike SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987SingleComplex::test_filtered_state SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987DoubleComplex::test_loglike PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987DoubleComplex::test_filtered_state PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987DoubleComplex::test_pickled_filter PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987DoubleComplex::test_copied_filter PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Conserve::test_loglike PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Conserve::test_filtered_state PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Conserve::test_pickled_filter PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987Conserve::test_copied_filter PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastDouble::test_loglike PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastDouble::test_pickled_filter PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastDouble::test_copied_filter PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastDouble::test_filtered_state PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastDoubleComplex::test_loglike PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastDoubleComplex::test_pickled_filter PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastDoubleComplex::test_copied_filter PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastDoubleComplex::test_filtered_state PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastConserve::test_loglike PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastConserve::test_pickled_filter PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastConserve::test_copied_filter PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ForecastConserve::test_filtered_state PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ConserveAll::test_pickled_filter PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ConserveAll::test_copied_filter PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ConserveAll::test_loglike PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1987ConserveAll::test_filtered_state PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989::test_loglike PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989::test_filtered_state PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989Conserve::test_loglike PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989Conserve::test_filtered_state PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989ForecastDouble::test_loglike PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989ForecastDouble::test_filtered_state PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989ForecastDoubleComplex::test_loglike PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989ForecastDoubleComplex::test_filtered_state PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989ForecastConserve::test_loglike PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989ForecastConserve::test_filtered_state PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989ConserveAll::test_loglike PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::TestClark1989ConserveAll::test_filtered_state PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_kalman.py::test_stationary_initialization PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_init_matrices_time_invariant PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_init_matrices_time_varying PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_wrapping PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_fit_misc PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_score_misc PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_from_formula PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_score_analytic_ar1 PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_cov_params PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_transform PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_filter PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_params PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_results PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_predict PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_forecast PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_summary PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_basic_endog PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_numpy_endog PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_pandas_endog PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_diagnostics PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_small_sample_serial_correlation_test PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_diagnostics_nile_eviews PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_diagnostics_nile_durbinkoopman PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_prediction_results PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_lutkepohl_information_criteria PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_append_extend_apply_invalid PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_integer_params PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_states_index_periodindex PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_states_index_dateindex PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_states_index_int64index PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_states_index_rangeindex PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_mlemodel.py::test_invalid_kwargs PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_loglike PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_scaled_smoothed_estimator PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_scaled_smoothed_estimator_cov PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_forecasts PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_forecasts_error PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_forecasts_error_cov PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_predicted_states PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_predicted_states_cov PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_smoothed_states PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_smoothed_states_cov PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_smoothed_forecasts PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_smoothed_state_disturbance PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_smoothed_state_disturbance_cov PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_smoothed_measurement_disturbance PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestIntercepts::test_smoothed_measurement_disturbance_cov PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::test_large_kposdef PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_dimensions SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_loglike SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_scaled_smoothed_estimator SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_scaled_smoothed_estimator_cov SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_forecasts SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_forecasts_error SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_forecasts_error_cov SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_predicted_states SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_predicted_states_cov SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_smoothed_states SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_smoothed_states_cov SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_smoothed_state_disturbance SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_smoothed_state_disturbance_cov SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_smoothed_measurement_disturbance SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_models.py::TestLargeStateCovAR1::test_smoothed_measurement_disturbance_cov SKIPPED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_basic[None] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_basic[init] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_basic[mixed] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_basic[all] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-stationary-None-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-stationary-None-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-stationary-init-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-stationary-init-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-stationary-mixed-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-stationary-mixed-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-stationary-all-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-stationary-all-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-diffuse-None-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-diffuse-None-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-diffuse-init-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-diffuse-init-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-diffuse-mixed-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-diffuse-mixed-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-diffuse-all-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-diffuse-all-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-None-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-None-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-init-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-init-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-mixed-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-mixed-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-all-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[0-approximate_diffuse-all-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-None-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-None-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-init-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-init-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-mixed-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-mixed-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-all-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-stationary-all-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-None-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-None-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-init-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-init-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-mixed-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-mixed-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-all-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-diffuse-all-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-None-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-None-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-init-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-init-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-mixed-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-mixed-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-all-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods1-approximate_diffuse-all-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-None-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-None-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-init-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-init-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-mixed-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-mixed-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-all-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-stationary-all-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-None-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-None-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-init-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-init-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-mixed-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-mixed-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-all-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-diffuse-all-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-None-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-None-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-init-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-init-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-mixed-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-mixed-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-all-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_filter_output[periods2-approximate_diffuse-all-False] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-None-True] PASSED [ 62%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-stationary-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-None-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-diffuse-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-None-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-0-approximate_diffuse-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-None-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-stationary-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-None-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-diffuse-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-None-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods1-approximate_diffuse-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-None-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-stationary-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-None-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-diffuse-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-None-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[None-periods2-approximate_diffuse-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-None-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-stationary-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-None-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-diffuse-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-None-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-0-approximate_diffuse-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-None-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-stationary-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-None-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-diffuse-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-None-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods1-approximate_diffuse-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-None-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-stationary-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-None-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-diffuse-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-None-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-None-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-init-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-init-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-mixed-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-mixed-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-all-True] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_smoother_output[alternate_timing-periods2-approximate_diffuse-all-False] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_invalid_options PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-0-None] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-0-init] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-0-mixed] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-0-all] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods1-None] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods1-init] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods1-mixed] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods1-all] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods2-None] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods2-init] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods2-mixed] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[False-periods2-all] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-0-None] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-0-init] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-0-mixed] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-0-all] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods1-None] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods1-init] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods1-mixed] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods1-all] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods2-None] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods2-init] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods2-mixed] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_sarimax[True-periods2-all] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-0-None] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-0-init] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-0-mixed] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-0-all] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods1-None] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods1-init] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods1-mixed] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods1-all] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods2-None] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods2-init] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods2-mixed] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[False-periods2-all] PASSED [ 63%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-0-None] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-0-init] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-0-mixed] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-0-all] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods1-None] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods1-init] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods1-mixed] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods1-all] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods2-None] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods2-init] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods2-mixed] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_unobserved_components[True-periods2-all] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[0-None] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[0-init] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[0-mixed] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[0-all] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods1-None] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods1-init] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods1-mixed] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods1-all] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods2-None] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods2-init] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods2-mixed] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_varmax[periods2-all] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[0-None] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[0-init] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[0-mixed] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[0-all] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods1-None] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods1-init] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods1-mixed] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods1-all] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods2-None] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods2-init] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods2-mixed] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_dynamic_factor[periods2-all] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_simulation_smoothing[None] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_simulation_smoothing[mixed] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_multivariate_switch_univariate.py::test_time_varying_model PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[True-True-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[True-True-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[True-False-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[True-False-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[False-True-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[False-True-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[False-False-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[False-False-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[-2-True-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[-2-True-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[-2-False-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_invariant[-2-False-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[exog-True-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[exog-True-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[exog-False-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[exog-False-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[trend-True-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[trend-True-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[trend-False-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_sarimax_time_varying[trend-False-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_unobserved_components_time_varying[True-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_unobserved_components_time_varying[True-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_unobserved_components_time_varying[False-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_unobserved_components_time_varying[False-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_invariant[True-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_invariant[True-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_invariant[False-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_invariant[False-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[exog-True-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[exog-True-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[exog-False-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[exog-False-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[trend-True-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[trend-True-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[trend-False-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_varmax_time_varying[trend-False-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_dynamic_factor_time_varying[True-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_dynamic_factor_time_varying[True-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_dynamic_factor_time_varying[False-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_dynamic_factor_time_varying[False-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_defaults[True-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_defaults[True-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_defaults[False-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_defaults[False-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_comparison_types PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_start_end_dates[True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_start_end_dates[False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_start_end_int[range] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_start_end_int[range2] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_start_end_int[int64] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_start_end_int[numpy] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_start_end_int[list] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_invalid PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_detailed_revisions[True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_detailed_revisions[-10] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_detailed_revisions[200] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_grouped_revisions[False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_grouped_revisions[202] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_mixed_revisions[-1] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_news.py::test_mixed_revisions[201] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_options.py::TestOptions::test_filter_methods PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_options.py::TestOptions::test_inversion_methods PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_options.py::TestOptions::test_stability_methods PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_options.py::TestOptions::test_conserve_memory PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_options.py::TestOptions::test_smoother_outputs PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_options.py::TestOptions::test_simulation_outputs PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_pickle.py::test_pickle_fit_sarimax PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_pickle.py::test_unobserved_components_pickle PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_pickle.py::test_kalman_filter_pickle PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_pickle.py::test_representation_pickle PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predict_dates PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_memory_no_predicted PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_sarimax[n-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_sarimax[n-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_sarimax[c-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_sarimax[c-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_sarimax[t-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_sarimax[t-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_varmax[n-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_varmax[n-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_varmax[c-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_varmax[c-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_varmax[t-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_concatenated_predict_varmax[t-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_with_nans[n-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_with_nans[n-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_with_nans[c-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_with_nans[c-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_with_nans[t-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_with_nans[t-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_with_nans_TVSS PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_varmax[n-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_varmax[n-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_varmax[c-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_varmax[c-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_varmax[t-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_varmax[t-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_smoothed_TVSS PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_dynamic_varmax[n-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_dynamic_varmax[n-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_dynamic_varmax[c-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_dynamic_varmax[c-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_dynamic_varmax[t-False] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_prediction.py::test_predicted_filtered_dynamic_varmax[t-True] PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Single::test_loglike SKIPPED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Single::test_filtered_state SKIPPED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Double::test_loglike PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Double::test_filtered_state PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987SingleComplex::test_loglike SKIPPED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987SingleComplex::test_filtered_state SKIPPED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987DoubleComplex::test_loglike PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987DoubleComplex::test_filtered_state PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Conserve::test_loglike PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987Conserve::test_filtered_state PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastDouble::test_loglike PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastDouble::test_filtered_state PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastDoubleComplex::test_loglike PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastDoubleComplex::test_filtered_state PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastConserve::test_loglike PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ForecastConserve::test_filtered_state PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ConserveAll::test_loglike PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1987ConserveAll::test_filtered_state PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989::test_loglike PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989::test_filtered_state PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989::test_kalman_gain PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989Conserve::test_loglike PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989Conserve::test_filtered_state PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ForecastDouble::test_loglike PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ForecastDouble::test_filtered_state PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ForecastDoubleComplex::test_loglike PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ForecastDoubleComplex::test_filtered_state PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ForecastConserve::test_loglike PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ForecastConserve::test_filtered_state PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ConserveAll::test_loglike PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989ConserveAll::test_filtered_state PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989PartialMissing::test_loglike PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989PartialMissing::test_filtered_state PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::TestClark1989PartialMissing::test_predicted_state PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::test_slice_notation PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::test_representation PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::test_bind PASSED [ 64%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::test_initialization PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::test_init_matrices_time_invariant PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::test_init_matrices_time_varying PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::test_no_endog PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::test_cython PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::test_filter PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::test_predict PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::test_standardized_forecasts_error PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::test_simulate PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::test_impulse_responses PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_representation.py::test_missing PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestSARIMAXStatsmodels::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestSARIMAXStatsmodels::test_aic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestSARIMAXStatsmodels::test_bic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestSARIMAXStatsmodels::test_hqic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestSARIMAXStatsmodels::test_mle PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestSARIMAXStatsmodels::test_bse PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestSARIMAXStatsmodels::test_t_test PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestRealGDPARStata::test_filtered_state PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestRealGDPARStata::test_standardized_forecasts_error PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_aic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_bic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_hqic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_standardized_forecasts_error PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_mle PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_bse PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_bse_approx PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_bse_oim PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMAStationary::test_bse_robust PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_aic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_bic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_hqic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_standardized_forecasts_error PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_mle PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_bse PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_bse_approx PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestARIMADiffuse::test_bse_oim PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_aic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_bic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_hqic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_standardized_forecasts_error PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_mle PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_bse PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_bse_approx PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAdditiveSeasonal::test_bse_oim PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_aic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_bic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_hqic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_standardized_forecasts_error PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_mle PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_bse PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_bse_approx PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHamilton::test_bse_oim PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_aic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_bic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_hqic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_standardized_forecasts_error PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_mle PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_bse PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_bse_approx PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineHarvey::test_bse_oim PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_aic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_hqic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_standardized_forecasts_error PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_bic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_mle PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_bse PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_bse_approx PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestAirlineStateDifferencing::test_bse_oim PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_aic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_bic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_hqic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_standardized_forecasts_error PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_mle PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_bse PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_bse_approx PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanMLERegression::test_bse_oim PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_hqic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_standardized_forecasts_error PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_mle PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_regression_parameters PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_aic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_bic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_bse PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_bse_approx PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanStateRegression::test_bse_oim PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanPredict::test_hqic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanPredict::test_standardized_forecasts_error PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanPredict::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanPredict::test_aic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanPredict::test_bic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanPredict::test_predict PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanPredict::test_dynamic_predict PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanForecast::test_hqic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanForecast::test_standardized_forecasts_error PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanForecast::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanForecast::test_aic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanForecast::test_bic PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanForecast::test_forecast PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::TestFriedmanForecast::test_dynamic_forecast PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar::test_start_params PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar::test_transform_untransform PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar::test_results PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar::test_plot_diagnostics PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar::test_predict PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar::test_init_keys_replicate PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_as_polynomial::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_as_polynomial::test_start_params PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_as_polynomial::test_transform_untransform PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_as_polynomial::test_results PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_as_polynomial::test_plot_diagnostics PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_as_polynomial::test_predict PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_as_polynomial::test_init_keys_replicate PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_start_params PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_transform_untransform PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_results PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_plot_diagnostics PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_predict PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_c::test_init_keys_replicate PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_start_params PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_transform_untransform PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_results PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_plot_diagnostics PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_predict PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_ct::test_init_keys_replicate PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_start_params PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_transform_untransform PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_results PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_plot_diagnostics PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_predict PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_trend_polynomial::test_init_keys_replicate PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_start_params PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_transform_untransform PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_results PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_plot_diagnostics PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_predict PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diff::test_init_keys_replicate PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_start_params PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_transform_untransform PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_results PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_plot_diagnostics PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_predict PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_seasonal_diff::test_init_keys_replicate PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_start_params PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_transform_untransform PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_results PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_plot_diagnostics PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_predict PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_diffuse::test_init_keys_replicate PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_start_params PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_transform_untransform PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_results PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_plot_diagnostics PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_predict PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_no_enforce::test_init_keys_replicate PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_loglike PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_start_params PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_transform_untransform PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_results PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_plot_diagnostics PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_predict PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous::test_init_keys_replicate PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_start_params PASSED [ 65%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ar_exogenous_in_state::test_regression_coefficient PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_as_polynomial::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_c::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_ct::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_trend_polynomial::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diff::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_seasonal_diff::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_diffuse::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_ma_exogenous::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_c::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_ct::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_trend_polynomial::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_seasonal_diff::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diff_seasonal_diff::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_diffuse::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exogenous::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_as_polynomial::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_c::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_ct::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_trend_polynomial::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_plot_diagnostics PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_predict PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diff::test_init_keys_replicate PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_loglike PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_start_params PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_transform_untransform PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_results PASSED [ 66%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_seasonal_diff::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_diffuse::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ar_exogenous::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_as_polynomial::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_c::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_ct::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_trend_polynomial::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diff::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_seasonal_diff::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_diffuse::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_ma_exogenous::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_c::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_ct::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_trend_polynomial::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_seasonal_diff::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diff_seasonal_diff::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_diffuse::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_seasonal_arma_exogenous::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous::test_results_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_not_hamilton::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_sarimax_exogenous_diffuse::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exog_trend_polynomial_missing::test_loglike PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exog_trend_polynomial_missing::test_start_params PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exog_trend_polynomial_missing::test_transform_untransform PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exog_trend_polynomial_missing::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exog_trend_polynomial_missing::test_plot_diagnostics PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exog_trend_polynomial_missing::test_predict PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::Test_arma_exog_trend_polynomial_missing::test_init_keys_replicate PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_simple_time_varying PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_invalid_time_varying PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_manual_stationary_initialization PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_manual_approximate_diffuse_initialization PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_results PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_misc_exog PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_datasets PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_predict_custom_index PASSED [ 67%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_arima000 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_concentrated_scale PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_forecast_exog PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_recreate_model PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_append_results PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_extend_results PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_extend_by_one PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_apply_results PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_start_params_small_nobs PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_simple_differencing_int64index PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_simple_differencing_rangeindex PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_simple_differencing_dateindex PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_simple_differencing_strindex PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_invalid_order PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_invalid_seasonal_order PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_dynamic_str PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_sarimax_starting_values_few_obsevations PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_sarimax_starting_values_few_obsevations_long_ma PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_sarimax.py::test_sarimax_forecast_exog_trend PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_save.py::test_sarimax PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_save.py::test_sarimax_save_remove_data[order0] PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_save.py::test_sarimax_save_remove_data[order1] PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_save.py::test_sarimax_save_remove_data[order2] PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_save.py::test_sarimax_pickle PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_save.py::test_structural PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_save.py::test_structural_pickle PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_save.py::test_dynamic_factor PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_save.py::test_dynamic_factor_pickle PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_save.py::test_varmax PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_save.py::test_varmax_pickle PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_save.py::test_existing_pickle PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_arma_lfilter PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_arma_direct PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_structural PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_varmax PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_dynamic_factor PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_known_initialization PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_sequential_simulate PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_end_time_invariant_noshocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_simple_differencing_end_time_invariant_noshocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_time_invariant_shocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_simple_differencing_end_time_invariant_shocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_time_varying_trend_noshocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_simple_differencing_time_varying_trend_noshocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_time_varying_trend_shocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_simple_differencing_time_varying_trend_shocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_time_varying_exog_noshocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_simple_differencing_time_varying_exog_noshocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_time_varying_exog_shocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_sarimax_simple_differencing_time_varying_exog_shocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_unobserved_components_end_time_invariant_noshocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_unobserved_components_end_time_invariant_shocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_unobserved_components_end_time_varying_exog_noshocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_unobserved_components_end_time_varying_exog_shocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_varmax_end_time_invariant_noshocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_varmax_end_time_invariant_shocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_varmax_end_time_varying_trend_noshocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_varmax_end_time_varying_trend_shocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_varmax_end_time_varying_exog_noshocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_varmax_end_time_varying_exog_shocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_dynamic_factor_end_time_invariant_noshocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_dynamic_factor_end_time_invariant_shocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_dynamic_factor_end_time_varying_exog_noshocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_dynamic_factor_end_time_varying_exog_shocks PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_univariate_rangeindex PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_univariate_rangeindex_repetitions PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_univariate_dateindex PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_univariate_dateindex_repetitions PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_multivariate_rangeindex PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_multivariate_rangeindex_repetitions PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_multivariate_dateindex PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_multivariate_dateindex_repetitions PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_pandas_anchor PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_time_varying PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_time_varying_obs_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_time_varying_state_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulate.py::test_time_varying_selection PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnown::test_loglike PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnown::test_simulate_0 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnown::test_simulate_1 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnown::test_simulate_2 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnown::test_simulation_smoothing_0 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnown::test_simulation_smoothing_1 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnown::test_simulation_smoothing_2 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingAll::test_loglike PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingAll::test_simulate_0 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingAll::test_simulate_1 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingAll::test_simulate_2 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingAll::test_simulation_smoothing_0 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingAll::test_simulation_smoothing_1 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingAll::test_simulation_smoothing_2 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingPartial::test_loglike PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingPartial::test_simulate_0 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingPartial::test_simulate_1 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingPartial::test_simulate_2 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingPartial::test_simulation_smoothing_0 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingPartial::test_simulation_smoothing_1 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingPartial::test_simulation_smoothing_2 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingMixed::test_loglike PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingMixed::test_simulate_0 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingMixed::test_simulate_1 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingMixed::test_simulate_2 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingMixed::test_simulation_smoothing_0 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingMixed::test_simulation_smoothing_1 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVARKnownMissingMixed::test_simulation_smoothing_2 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestDFM::test_simulate_0 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestDFM::test_simulate_1 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestDFM::test_simulate_2 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestDFM::test_simulation_smoothing_0 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestDFM::test_simulation_smoothing_1 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestDFM::test_simulation_smoothing_2 PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestDFM::test_loglike PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVAR::test_loglike PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::TestMultivariateVAR::test_simulation_smoothing PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_misc PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_simulation_smoothing_obs_intercept PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_simulation_smoothing_state_intercept PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_simulation_smoothing_state_intercept_diffuse PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_deprecated_arguments_univariate PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_deprecated_arguments_multivariate PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_simulation_smoothing.py::test_nan PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_predict_obs PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_standardized_residuals PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_predicted_states PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_predicted_states_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_filtered_states PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_states PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_states_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_measurement_disturbance PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_measurement_disturbance_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_state_disturbance PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3::test_smoothed_state_disturbance_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_predict_obs PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_standardized_residuals PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_predicted_states PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_predicted_states_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_filtered_states PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_states PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_states_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_measurement_disturbance PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_measurement_disturbance_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_state_disturbance PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternateTiming::test_smoothed_state_disturbance_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_predict_obs PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_standardized_residuals PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_predicted_states PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_predicted_states_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_filtered_states PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_measurement_disturbance PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_states PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smoothed_states_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3AlternativeSmoothing::test_smooth_method PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_predict_obs PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_standardized_residuals PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_predicted_states PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_predicted_states_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_filtered_states PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_states PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_states_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_measurement_disturbance PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesAR3UnivariateSmoothing::test_smooth_method PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_predicted_states PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_predicted_states_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_states PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_states_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_measurement_disturbance PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_measurement_disturbance_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_state_disturbance PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3::test_smoothed_state_disturbance_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_predicted_states PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_predicted_states_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_states PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_states_cov PASSED [ 68%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_measurement_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_measurement_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_state_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternateTiming::test_smoothed_state_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_predicted_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_predicted_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_measurement_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3AlternativeSmoothing::test_smooth_method PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_predicted_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_predicted_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_measurement_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestStatesMissingAR3UnivariateSmoothing::test_smooth_method PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_loglike PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_scaled_smoothed_estimator PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_scaled_smoothed_estimator_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_forecasts_error PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_forecasts_error_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_predicted_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_predicted_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_state_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_state_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_measurement_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissing::test_smoothed_measurement_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_loglike PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_scaled_smoothed_estimator PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_forecasts_error PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_forecasts_error_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_predicted_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_predicted_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_state_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_state_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_measurement_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingClassicalSmoothing::test_smooth_method PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_loglike PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_scaled_smoothed_estimator PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_forecasts_error PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_forecasts_error_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_predicted_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_predicted_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_measurement_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingAlternativeSmoothing::test_smooth_method PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_loglike PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_scaled_smoothed_estimator PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_forecasts_error PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_forecasts_error_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_predicted_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_predicted_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_measurement_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateMissingUnivariateSmoothing::test_smooth_method PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_loglike PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_scaled_smoothed_estimator PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_scaled_smoothed_estimator_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_forecasts_error PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_forecasts_error_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_predicted_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_predicted_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_state_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_state_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_measurement_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVAR::test_smoothed_measurement_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_loglike PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_scaled_smoothed_estimator PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_forecasts_error PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_forecasts_error_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_predicted_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_predicted_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_state_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_state_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_measurement_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARAlternativeSmoothing::test_smooth_method PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_loglike PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_scaled_smoothed_estimator PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_forecasts_error PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_forecasts_error_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_predicted_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_predicted_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_state_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_state_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_measurement_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARClassicalSmoothing::test_smooth_method PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_loglike PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_scaled_smoothed_estimator PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_scaled_smoothed_estimator_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_forecasts_error PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_forecasts_error_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_predicted_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_predicted_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_state_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_state_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_measurement_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariate::test_smoothed_measurement_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_loglike PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_scaled_smoothed_estimator PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_scaled_smoothed_estimator_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_forecasts_error PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_forecasts_error_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_predicted_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_predicted_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_states PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_states_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_forecasts PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_state_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_state_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_measurement_disturbance PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smoothed_measurement_disturbance_cov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_filter_method PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestMultivariateVARUnivariateSmoothing::test_smooth_method PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariances::test_smoothed_state_autocov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesAlternativeSmoothing::test_smoothed_state_autocov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesAlternativeSmoothing::test_smooth_method PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesClassicalSmoothing::test_smoothed_state_autocov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesClassicalSmoothing::test_smooth_method PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesUnivariateSmoothing::test_smoothed_state_autocov PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesUnivariateSmoothing::test_filter_method PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::TestVARAutocovariancesUnivariateSmoothing::test_smooth_method PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-True-all] PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-True-partial] PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-True-mixed] PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-True-None] PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-False-all] PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-False-partial] PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-False-mixed] PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[True-False-None] PASSED [ 69%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-True-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-True-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-True-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-True-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-False-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-False-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-False-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards[False-False-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[True-True-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[True-True-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[True-True-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[True-True-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[True-False-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[True-False-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[True-False-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[True-False-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[False-True-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[False-True-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[False-True-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[False-True-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[False-False-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[False-False-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[False-False-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards[False-False-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[True-True-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[True-True-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[True-True-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[True-True-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[True-False-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[True-False-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[True-False-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[True-False-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[False-True-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[False-True-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[False-True-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[False-True-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[False-False-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[False-False-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[False-False-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_forwards_oos[False-False-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[True-True-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[True-True-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[True-True-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[True-True-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[True-False-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[True-False-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[True-False-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[True-False-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[False-True-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[False-True-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[False-True-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[False-True-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[False-False-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[False-False-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[False-False-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_backwards_oos[False-False-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_smoothed_state_autocovariances_invalid PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[True-True-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[True-True-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[True-True-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[True-True-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[True-False-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[True-False-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[True-False-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[True-False-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[False-True-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[False-True-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[False-True-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[False-True-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[False-False-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[False-False-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[False-False-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_basic[False-False-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[True-True-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[True-True-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[True-True-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[True-True-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[True-False-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[True-False-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[True-False-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[True-False-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[False-True-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[False-True-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[False-True-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[False-True-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[False-False-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[False-False-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[False-False-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_revisions[False-False-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[True-True-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[True-True-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[True-True-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[True-True-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[True-False-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[True-False-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[True-False-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[True-False-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[False-True-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[False-True-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[False-True-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[False-True-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[False-False-all] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[False-False-partial] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[False-False-mixed] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_smoothing.py::test_news_invalid[False-False-None] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_irregular PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_fixed_intercept PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_deterministic_constant PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_random_walk PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_local_level PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_fixed_slope PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_fixed_slope_warn PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_deterministic_trend PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_random_walk_with_drift PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_local_linear_deterministic_trend PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_local_linear_trend PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_smooth_trend PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_random_trend PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_cycle PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_seasonal PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_freq_seasonal PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_reg PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_rtrend_ar1 PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_lltrend_cycle_seasonal_reg_ar1 PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_mle_reg[True] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_mle_reg[False] PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_specifications PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_start_params PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_forecast PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_misc_exog PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_predict_custom_index PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_matrices_somewhat_complicated_model PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_forecast_exog PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_recreate_model PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_append_results PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_extend_results PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_structural.py::test_apply_results PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestCompanionMatrix::test_cases PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestDiff::test_cases PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestSolveDiscreteLyapunov::test_univariate PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestSolveDiscreteLyapunov::test_multivariate PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestConcat::test_valid PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestConcat::test_invalid PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestIsInvertible::test_cases PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestConstrainStationaryUnivariate::test_cases PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestUnconstrainStationaryUnivariate::test_cases PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestStationaryUnivariate::test_cases PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestValidateMatrixShape::test_valid_cases PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestValidateMatrixShape::test_invalid_cases PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestValidateVectorShape::test_valid_cases PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestValidateVectorShape::test_invalid_cases PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_multivariate_acovf PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_multivariate_pacf PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestConstrainStationaryMultivariate::test_cases PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestUnconstrainStationaryMultivariate::test_cases PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::TestStationaryMultivariate::test_cases PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_matrix_rows PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_matrix_cols PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_submatrix PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_diagonal_submatrix PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_reorder_vector PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_matrix_rows PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_matrix_cols PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_submatrix PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_diagonal_submatrix PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_missing_vector PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_matrix_rows PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_matrix_cols PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_submatrix PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_diagonal_submatrix PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_tools.py::test_copy_index_vector PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_using_univariate PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_forecasts PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_forecasts_error PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_forecasts_error_cov PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_filtered_state PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_filtered_state_cov PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_predicted_state PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_predicted_state_cov PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_loglike PASSED [ 70%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_states PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_states_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_measurement_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_measurement_disturbance_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_state_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_smoothed_state_disturbance_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_simulation_smoothed_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_simulation_smoothed_measurement_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989::test_simulation_smoothed_state_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_using_univariate PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_forecasts PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_forecasts_error PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_forecasts_error_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_filtered_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_filtered_state_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_predicted_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_predicted_state_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_loglike PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_states PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_states_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_measurement_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_measurement_disturbance_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_state_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_smoothed_state_disturbance_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_simulation_smoothed_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_simulation_smoothed_measurement_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_simulation_smoothed_state_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestClark1989Alternate::test_using_alterate PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_using_univariate PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_forecasts PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_forecasts_error PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_forecasts_error_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_filtered_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_filtered_state_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_predicted_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_predicted_state_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_loglike PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_states PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_states_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_measurement_disturbance SKIPPED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_measurement_disturbance_cov SKIPPED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_state_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_smoothed_state_disturbance_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_simulation_smoothed_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_simulation_smoothed_measurement_disturbance SKIPPED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateGeneralObsCov::test_simulation_smoothed_state_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_using_univariate PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_forecasts PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_forecasts_error PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_forecasts_error_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_filtered_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_filtered_state_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_predicted_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_predicted_state_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_loglike PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_states PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_states_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_measurement_disturbance SKIPPED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_measurement_disturbance_cov SKIPPED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_state_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_smoothed_state_disturbance_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_simulation_smoothed_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_simulation_smoothed_measurement_disturbance SKIPPED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateAllMissingGeneralObsCov::test_simulation_smoothed_state_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_using_univariate PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_forecasts_error_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_filtered_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_filtered_state_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_predicted_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_predicted_state_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_loglike PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_states PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_states_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_measurement_disturbance SKIPPED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_measurement_disturbance_cov SKIPPED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_state_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_smoothed_state_disturbance_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_simulation_smoothed_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_simulation_smoothed_measurement_disturbance SKIPPED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_simulation_smoothed_state_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_forecasts PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariatePartialMissingGeneralObsCov::test_forecasts_error PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_using_univariate PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_forecasts_error_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_filtered_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_filtered_state_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_predicted_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_predicted_state_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_loglike PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_states PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_states_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_measurement_disturbance SKIPPED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_measurement_disturbance_cov SKIPPED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_state_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_smoothed_state_disturbance_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_simulation_smoothed_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_simulation_smoothed_measurement_disturbance SKIPPED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_simulation_smoothed_state_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_forecasts PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateMixedMissingGeneralObsCov::test_forecasts_error PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_forecasts PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_forecasts_error PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_forecasts_error_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_filtered_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_filtered_state_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_predicted_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_predicted_state_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_loglike PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_states PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_states_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_measurement_disturbance SKIPPED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_measurement_disturbance_cov SKIPPED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_state_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_smoothed_state_disturbance_cov PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_simulation_smoothed_state PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_simulation_smoothed_measurement_disturbance SKIPPED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::TestMultivariateVAR::test_simulation_smoothed_state_disturbance PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_univariate.py::test_time_varying_transition PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_basic PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_c PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_ct PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_ct_as_exog0 PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_ct_as_exog1 PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_ctt PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_ct_exog PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_var.py::test_var_c_2exog PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_mle PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_params PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_results PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_loglike PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_aic PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_bic PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_standardized_forecasts_error PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_predict PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_dynamic_predict PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_bse_approx PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_bse_oim PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR::test_summary PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_mle PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_params PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_results PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_loglike PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_aic PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_bic PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_standardized_forecasts_error PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_predict PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_dynamic_predict PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_bse_approx PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_bse_oim PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_diagonal::test_summary PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_params PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_results PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_loglike PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_standardized_forecasts_error PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_predict PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_dynamic_predict PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_mle PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_bse_approx PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_bse_oim PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_aic PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_bic PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_representation PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_measurement_error::test_summary PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_mle PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_params PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_results PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_loglike PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_standardized_forecasts_error PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_predict PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_dynamic_predict PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_bse_approx PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_bse_oim PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_aic PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_obs_intercept::test_bic PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_params PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_results PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_loglike PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_standardized_forecasts_error PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_mle PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_aic PASSED [ 71%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_bic PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_bse_approx PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_bse_oim PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_predict PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_dynamic_predict PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_forecast PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog::test_summary PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_params PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_results PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_loglike PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_standardized_forecasts_error PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_mle PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_aic PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_bic PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_bse_approx PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_bse_oim PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_predict PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_dynamic_predict PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR_exog2::test_forecast PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_mle PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_params PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_results PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_loglike PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_aic PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_bic PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_standardized_forecasts_error PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_predict PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_dynamic_predict PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_bse_approx PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_bse_oim PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVAR2::test_summary PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_params PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_results PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_loglike PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_standardized_forecasts_error PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_mle PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_bse_approx SKIPPED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_bse_oim SKIPPED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_aic PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_bic PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_predict PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_dynamic_predict PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVARMA::test_summary PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_params PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_results PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_loglike PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_standardized_forecasts_error PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_mle PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_bse_approx SKIPPED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_bse_oim SKIPPED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_aic PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_bic PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_predict PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::TestVMA1::test_dynamic_predict PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_specifications PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_misspecifications PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_misc_exog PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_predict_custom_index PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_forecast_exog PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_recreate_model PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_append_results PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[True-n] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[True-c] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[True-ct] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[False-n] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[False-c] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results[False-ct] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_extend_results_exog PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_apply_results PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_vma1_exog PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_varmax.py::test_param_names_trend PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-False-n-False] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-False-n-True] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-False-c-False] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-False-c-True] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-False-t-False] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-False-t-True] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-True-n-False] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-True-n-True] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-True-c-False] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-True-c-True] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-True-t-False] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[False-True-t-True] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-False-n-False] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-False-n-True] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-False-c-False] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-False-c-True] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-False-t-False] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-False-t-True] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-True-n-False] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-True-n-True] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-True-c-False] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-True-c-True] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-True-t-False] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_sarimax[True-True-t-True] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_varmax[n-False] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_varmax[n-True] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_varmax[c-False] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_varmax[c-True] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_varmax[t-False] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_varmax[t-True] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_TVSS[False-0] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_TVSS[False-1] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_TVSS[False-4] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_TVSS[True-0] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_TVSS[True-1] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_TVSS[True-4] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_univariate_singular[1-both] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_univariate_singular[1-0] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_univariate_singular[1-1] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_univariate_singular[2-both] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_univariate_singular[2-0] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_univariate_singular[2-1] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_smoothed_state_obs_weights_collapsed PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t0-compute_j0] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t0-compute_j1] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t0-compute_j2] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t0-8] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t1-compute_j0] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t1-compute_j1] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t1-compute_j2] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t1-8] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t2-compute_j0] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t2-compute_j1] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t2-compute_j2] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[compute_t2-8] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[5-compute_j0] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[5-compute_j1] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[5-compute_j2] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_compute_t_compute_j[5-8] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/tests/test_weights.py::test_resmooth PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_return_pandas_series_when_input_pandas_and_len_periods_one PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_seasonal_is_datafame_when_input_pandas_and_multiple_periods PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-3-None-1] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-periods1-None-2] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-periods2-None-2] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_raise_value_error_when_periods_and_windows_diff_lengths[periods0-1] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_raise_value_error_when_periods_and_windows_diff_lengths[7-windows1] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_fit_with_box_cox[data-0.1] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_fit_with_box_cox[data-1] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_fit_with_box_cox[data--3.0] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_fit_with_box_cox[data-auto] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_auto_fit_with_box_cox PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_stl_kwargs_smoke PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_plot PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_output_similar_to_R_implementation PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_output_invariant_to_period_order[data-periods_ordered0-windows_ordered0-periods_not_ordered0-windows_not_ordered0] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_output_invariant_to_period_order[data-periods_ordered1-windows_ordered1-periods_not_ordered1-windows_not_ordered1] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_mstl.py::test_output_invariant_to_period_order[data-periods_ordered2-None-periods_not_ordered2-None] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_baseline_class PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_short_class PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_nljump_1_class PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_ntjump_1_class PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_nljump_1_ntjump_1_class PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_parameter_checks_period PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_parameter_checks_seasonal PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_parameter_checks_trend PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_parameter_checks_low_pass PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_jump_errors PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_defaults_smoke[True] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_pandas[True] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_defaults_smoke[False] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_pandas[False] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_period_detection PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_no_period PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_plot PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_default_trend PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_pickle PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/tests/test_stl.py::test_squezable_to_1d PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_adfuller_lag.py::test_adf_autolag PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 72%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 73%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 74%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 0, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 75%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 76%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 77%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: 3, Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 78%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 79%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 80%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [1, 3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 81%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: True, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-bse] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-llf] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-scale] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-bse] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-cov_params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_model] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-df_resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-llf] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-nobs] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-scale] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-tvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0-use_t] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: n, Exog: None, Cov Type: HC0] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-params] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: nonrobust] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-bse] PASSED [ 82%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_model] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-llf] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-nobs] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-scale] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0-use_t] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: n, Exog: 2, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-bse] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-llf] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-scale] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-bse] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-cov_params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_model] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-df_resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-llf] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-nobs] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-scale] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-tvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0-use_t] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: c, Exog: None, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-bse] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_model] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-llf] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-nobs] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-scale] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0-use_t] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: c, Exog: 2, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-bse] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-llf] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-scale] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-bse] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-cov_params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_model] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-df_resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-llf] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-nobs] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-scale] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-tvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0-use_t] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: t, Exog: None, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-bse] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_model] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-llf] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-nobs] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-scale] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0-use_t] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: t, Exog: 2, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-bse] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-cov_params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_model] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-df_resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-fittedvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-llf] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-nobs] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-scale] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-tvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust-use_t] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: nonrobust] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-bse] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-cov_params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_model] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-df_resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-fittedvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-llf] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-nobs] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-scale] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-tvalues] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0-use_t] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: ct, Exog: None, Cov Type: HC0] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-bse] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-cov_params] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_model] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-df_resid] PASSED [ 83%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-fittedvalues] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-llf] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-nobs] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-params] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-resid] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-scale] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-tvalues] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust-use_t] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: nonrobust] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-bse] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-cov_params] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_model] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-df_resid] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-fittedvalues] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-llf] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-nobs] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-params] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-resid] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-scale] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-tvalues] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0-use_t] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_conf_int_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_f_test_ols_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_other_tests_autoreg[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply[AR: [3], Seasonal: False, Trend: ct, Exog: 2, Cov Type: HC0] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back: None] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back: 12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back: None] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back: 12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back: None] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back: 12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back: None] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back: 12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back: None] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back: 12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back: None] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back: 12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back: None] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_smoke_plots[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back: 12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 84%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 85%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 0, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 86%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 87%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 88%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 1, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 89%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 90%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: 3, trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 91%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: n, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: c, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 92%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: t, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: True, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 0, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: None, missing: drop, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: none, pandas: False, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: True, hold_back12] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 93%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_backNone] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_forecast_smoke[lags: [1, 3], trend: ct, seasonal: False, nexog: 2, periods: 11, missing: drop, pandas: False, hold_back12] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_parameterless_autoreg PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_predict_errors PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_spec_errors PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_select_order_smoke PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_params PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_llf PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_fpe PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_pickle PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_summary PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_pvalues PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_bse PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSConstant::test_predict PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_params PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_llf PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_fpe PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_pickle PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_summary PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_pvalues PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_bse PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::TestAutoRegOLSNoConstant::test_predict PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag0] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag1] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag2] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag3] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag4] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag5] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag6] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag7] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag8] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag9] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag10] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag11] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag12] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag13] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag14] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_info_criterion[lag15] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_named_series[True] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_named_series[False] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_series PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_order_select PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_constant_column_trend PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_summary_corner[True] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_summary_corner[False] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_score PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_roots PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_equiv_dynamic PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_against_sarimax PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_predict_seasonal PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_predict_exog PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_predict_irregular_ar PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_forecast_start_end_equiv[True] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_forecast_start_end_equiv[False] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_start[21] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_start[25] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_deterministic PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_predict_forecast_equiv PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_forecast_period_index PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_plot_err PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_resids PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_predictions PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_dynamic_predictions_oos PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_invalid_dynamic PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_exog_prediction PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_old_names PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_diagnostic_summary_short PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_ar_model_predict PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_no_variables PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_removal PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_apply_exception PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-0-True-n] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-0-True-ct] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-0-False-n] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-0-False-ct] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-1-True-n] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-1-True-ct] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-1-False-n] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-1-False-ct] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-3-True-n] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-3-True-ct] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-3-False-n] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[True-3-False-ct] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-0-True-n] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-0-True-ct] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-0-False-n] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-0-False-ct] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-1-True-n] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-1-True-ct] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-1-False-n] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-1-False-ct] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-3-True-n] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-3-True-ct] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-3-False-n] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append[False-3-False-ct] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_ar.py::test_autoreg_append_deterministic PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_acovf PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_acovf_persistent PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_acf PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_acf_compare_R_ARMAacf PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_acov_compare_theoretical_arma_acov PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma0-ar0] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma0-ar1] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma0-ar2] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma0-ar3] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma1-ar0] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma1-ar1] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma1-ar2] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma1-ar3] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma2-ar0] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma2-ar1] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma2-ar2] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma2-ar3] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma3-ar0] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma3-ar1] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma3-ar2] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_generate_sample[standard_normal-ma3-ar3] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_fi PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_arma_impulse_response PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma0-ar0] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma0-ar1] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma0-ar2] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma0-ar3] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma1-ar0] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma1-ar1] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma1-ar2] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma1-ar3] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma2-ar0] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma2-ar1] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma2-ar2] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma2-ar3] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma3-ar0] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma3-ar1] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma3-ar2] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_spectrum[ma3-ar3] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma0-ar0] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma0-ar1] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma0-ar2] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma0-ar3] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma1-ar0] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma1-ar1] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma1-ar2] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma1-ar3] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma2-ar0] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma2-ar1] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma2-ar2] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma2-ar3] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma3-ar0] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma3-ar1] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma3-ar2] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_armafft[ma3-ar3] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_lpol2index_index2lpol PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_empty_coeff PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_from_roots PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_from_coeff PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_process_multiplication PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_str_repr PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_acf PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_pacf PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_isstationary PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_arma2ar PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_invertroots PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_generate_sample PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_impulse_response PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::TestArmaProcess::test_periodogram PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_from_estimation[True-0] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_arima_process.py::test_from_estimation[True-1] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_bds.py::TestBDSSequence::test_stat PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_bds.py::TestBDSSequence::test_pvalue PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_bds.py::TestBDSNormal::test_stat PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_bds.py::TestBDSNormal::test_pvalue PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_bds.py::TestBDSCombined::test_stat PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_bds.py::TestBDSCombined::test_pvalue PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_bds.py::TestBDSGDPC1::test_stat PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_bds.py::TestBDSGDPC1::test_pvalue PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[range-None] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[range-None] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[range-None] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[range-False] PASSED [ 94%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[range-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[range-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[period-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[period-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[period-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[period-None] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[period-None] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[period-None] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[period-list] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[period-list] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[period-list] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[range-list] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[range-list] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[range-list] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[datetime-list] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[datetime-list] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[datetime-list] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[datetime-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[datetime-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[datetime-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[datetime-None] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[datetime-None] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[datetime-None] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_invalid_formcast_index[datetime] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend[datetime] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality[datetime] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier[datetime] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[fib-list] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[fib-list] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[fib-list] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[fib-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[fib-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[fib-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[fib-None] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[fib-None] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[fib-None] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_invalid_formcast_index[fib] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend[fib] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality[fib] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier[fib] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[int64-list] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[int64-list] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[int64-list] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[int64-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[int64-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[int64-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend_smoke[int64-None] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_smoke[int64-None] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier_smoke[int64-None] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_invalid_formcast_index[int64] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend[int64] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality[int64] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier[int64] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[list] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[list] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period0] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period1] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period2] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period3] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period4] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period5] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period6] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period7] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period8] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period9] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period10] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period11] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period12] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period13] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[list-freq_period14] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_invalid_formcast_index[period] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend[period] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality[period] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier[period] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period0] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period1] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period2] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period3] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period4] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period5] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period6] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period7] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period8] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period9] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period10] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period11] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period12] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period13] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[False-freq_period14] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_invalid_formcast_index[range] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_time_trend[range] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality[range] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_fourier[range] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_smoke[None] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier_smoke[None] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period0] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period1] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period2] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period3] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period4] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period5] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period6] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period7] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period8] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period9] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period10] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period11] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period12] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period13] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonality[None-freq_period14] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_forbidden_index PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend_base PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_invalid_freq_period PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_check_index_type PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_unknown_freq PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonal_from_index_err PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_seasonality_time_index PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_index_like PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_fourier PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_time_trend PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonal_period_w PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonal_period_d PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonal_period_q PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_calendar_seasonal_period_a PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-0-True-0-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-0-True-0-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-0-True-1-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-0-True-1-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-0-False-0-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-0-False-0-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-0-False-1-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-0-False-1-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-1-True-0-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-1-True-0-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-1-True-1-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-1-True-1-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-1-False-0-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-1-False-0-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-1-False-1-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-None-1-False-1-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-0-True-0-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-0-True-0-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-0-True-1-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-0-True-1-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-0-False-0-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-0-False-0-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-0-False-1-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-0-False-1-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-1-True-0-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-1-True-0-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-1-True-1-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-1-True-1-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-1-False-0-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-1-False-0-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-1-False-1-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[True-10-1-False-1-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-0-True-0-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-0-True-0-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-0-True-1-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-0-True-1-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-0-False-0-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-0-False-0-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-0-False-1-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-0-False-1-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-1-True-0-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-1-True-0-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-1-True-1-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-1-True-1-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-1-False-0-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-1-False-0-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-1-False-1-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-None-1-False-1-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-0-True-0-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-0-True-0-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-0-True-1-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-0-True-1-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-0-False-0-True] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-0-False-0-False] PASSED [ 95%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-0-False-1-True] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-0-False-1-False] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-1-True-0-True] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-1-True-0-False] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-1-True-1-True] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-1-True-1-False] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-1-False-0-True] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-1-False-0-False] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-1-False-1-True] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process[False-10-1-False-1-False] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_deterministic_process_errors PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_range_error PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_range_index_basic PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_range_casting PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_non_unit_range PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_additional_terms PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_drop_two_consants PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_determintic_term_equiv[index0] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_determintic_term_equiv[index1] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_determintic_term_equiv[index2] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_determintic_term_equiv[index3] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_deterministic.py::test_drop PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMdN] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMN] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[ANN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MNN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAdA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAdM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AAM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMdA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMdM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[AMM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[ANA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[ANM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAdA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAdM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MAM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMdA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMdM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MMM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MNA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_model_austouritsts[MNM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMdN] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMN] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[ANN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MNN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAdA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAdM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AAM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMdA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMdM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[AMM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[ANA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[ANM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAdA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAdM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MAM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMdA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMdM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MMM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MNA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_smooth_vs_R[MNM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMdN] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMN] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[ANN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MNN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAdA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAdM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AAM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMdA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMdM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[AMM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[ANA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[ANM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAdA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAdM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MAM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMdA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMdM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MMM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MNA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_residuals_vs_R[MNM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMdN] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMN] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[ANN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MNN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAdA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAdM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AAM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMdA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMdM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[AMM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[ANA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[ANM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAdA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAdM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MAM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMdA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMdM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MMM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MNA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_loglike_vs_R[MNM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMdN] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMN] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[ANN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MNN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAdA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAdM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AAM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMdA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMdM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[AMM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[ANA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[ANM] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAdA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAdM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MAM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMdA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMA] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMdM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MMM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MNA] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_forecast_vs_R[MNM] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMdN] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMN] SKIPPED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[ANN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMdN] PASSED [ 96%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MNN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAdA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAdM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AAM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMdA] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMA] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMdM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[AMM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[ANA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[ANM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAdA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAdM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MAM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMdA] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMA] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMdM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MMM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MNA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_vs_R[MNM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAdN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMdN] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMN] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[ANN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAdN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMdN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MNN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAdA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAdM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AAM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMdA] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMA] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMdM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[AMM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[ANA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[ANM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAdA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAdM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MAM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMdA] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMA] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMdM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MMM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MNA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_fit_vs_R[MNM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAdN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMdN] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMN] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[ANN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAdN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMdN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MNN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAdA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAdM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AAM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMdA] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMA] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMdM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[AMM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[ANA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[ANM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAdA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAdM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MAM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMdA] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMA] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMdM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MMM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MNA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_vs_R[MNM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_initialization_known PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_initialization_heuristic PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_bounded_fit PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_seasonal_periods PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_simulate_keywords PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_predict_ranges PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_summary PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_score PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_hessian PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_prediction_results PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_results_vs_statespace PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_prediction_results_vs_statespace PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_prediction_results_slow_AAN SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_prediction_results_slow_AAdA SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_convergence_simple PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_exact_prediction_intervals PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAdN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMdN] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMN] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[ANN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAdN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMdN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MNN] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAdA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAdM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AAM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMdA] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMA] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMdM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[AMM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[ANA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[ANM] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAdA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAdM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MAM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMdA] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMA] SKIPPED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMdM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MMM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MNA] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_one_step_ahead[MNM] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[9-None-None] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[9-None-add] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[9-add-None] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[9-add-add] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[10-None-None] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[10-None-add] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[10-add-None] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_estimated_initialization_short_data[10-add-add] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_seasonal_order[estimated] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_seasonal_order[heuristic] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py::test_aicc_0_dof PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_ndarray PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_pandas PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_pandas_nofreq PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_filt PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_one_sided_moving_average_in_stl_decompose PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_2d PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_interpolate_trend PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::TestDecompose::test_raises PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_too_short PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_smoke PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_multiple PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-True-4-additive] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-True-4-multiplicative] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-True-12-additive] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-True-12-multiplicative] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-False-4-additive] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-False-4-multiplicative] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-False-12-additive] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[True-False-12-multiplicative] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-True-4-additive] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-True-4-multiplicative] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-True-12-additive] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-True-12-multiplicative] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-False-4-additive] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-False-4-multiplicative] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-False-12-additive] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_seasonal.py::test_seasonal_decompose_plot[False-False-12-multiplicative] PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant::test_teststat PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant::test_pvalue PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant::test_critvalues PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend::test_teststat PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend::test_pvalue PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend::test_critvalues PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant::test_teststat PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant::test_pvalue PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant::test_critvalues PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant2::test_teststat PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant2::test_pvalue PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstant2::test_critvalues PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend2::test_teststat PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend2::test_pvalue PASSED [ 97%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFConstantTrend2::test_critvalues PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant2::test_teststat PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant2::test_pvalue PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant2::test_critvalues PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestADFNoConstant2::test_store_str PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_adfuller_resid_variance_zero[x0] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACF::test_acf PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACF::test_confint PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACF::test_qstat PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACF_FFT::test_acf PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACF_FFT::test_qstat PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_raise PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_acf_none PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_acf_drop PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_acf_conservative PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestACFMissing::test_qstat_none PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestPACF::test_ols PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestPACF::test_ols_inefficient PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestPACF::test_yw PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestPACF::test_yw_singular PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestPACF::test_ld PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestPACF::test_burg PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestCCF::test_ccf PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestCCF::test_confint PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_1d_input PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_2d_input_with_missing_values PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_subset_length[2-41-0.047619047619047616] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_subset_length[0.5-10-0.09048484886749095] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_alternative[two-sided-41-0.047619047619047616] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_alternative[decreasing-0.024390243902439025-0.9761904761904762] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_alternative[increasing-41-0.023809523809523808] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_use_chi2 PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestCoint_t::test_tstat PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_coint PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_coint_identical_series PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_coint_perfect_collinearity PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_grangercausality PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_grangercausality_single PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_granger_fails_on_nobs_check PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_granger_fails_on_finite_check PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestGrangerCausality::test_granger_fails_on_zero_lag PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_fail_nonvector_input PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_fail_unclear_hypothesis PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_teststat PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_pval PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_store PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_lags PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_kpss_fails_on_nobs_check PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_kpss_autolags_does_not_assign_lags_equal_to_nobs PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_legacy_lags PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_unknown_lags PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestKPSS::test_none PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestRUR::test_fail_nonvector_input PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestRUR::test_teststat PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestRUR::test_pval PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestRUR::test_store PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pandasacovf PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf2d PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_fft_vs_convolution[True-True] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_fft_vs_convolution[True-False] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_fft_vs_convolution[False-True] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_fft_vs_convolution[False-False] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_ccovf_fft_vs_convolution[True-True] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_ccovf_fft_vs_convolution[True-False] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_ccovf_fft_vs_convolution[False-True] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_ccovf_fft_vs_convolution[False-False] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[True-True-True] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[True-True-False] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[True-False-True] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[True-False-False] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[False-True-True] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[False-True-False] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[False-False-True] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_compare_acovf_vs_ccovf[False-False-False] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_arma_order_select_ic PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_arma_order_select_ic_failure PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acf_fft_dataframe PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_levinson_durbin_acov PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-False-conservative] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-False-drop] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-False-raise] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-False-none] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-True-conservative] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-True-drop] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-True-raise] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-True-True-none] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-False-conservative] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-False-drop] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-False-raise] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-False-none] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-True-conservative] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-True-drop] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-True-raise] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[True-False-True-none] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-False-conservative] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-False-drop] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-False-raise] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-False-none] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-True-conservative] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-True-drop] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-True-raise] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-True-True-none] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-False-conservative] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-False-drop] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-False-raise] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-False-none] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-True-conservative] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-True-drop] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-True-raise] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags[False-False-True-none] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-True-False-conservative] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-True-False-drop] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-True-True-conservative] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-True-True-drop] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-False-False-conservative] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-False-False-drop] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-False-True-conservative] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[True-False-True-drop] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-True-False-conservative] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-True-False-drop] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-True-True-conservative] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-True-True-drop] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-False-False-conservative] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-False-False-drop] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-False-True-conservative] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_nlags_missing[False-False-True-drop] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acovf_error PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf2acf_ar PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf2acf_levinson_durbin PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf2acf_errors PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf_burg PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf_burg_error PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_algo_brockwell_davis PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_algo_rtol PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_errors PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_filter_brockwell_davis PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_filter_pandas PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_filter_errors PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_innovations_algo_filter_kalman_filter PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_adfuller_short_series PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_adfuller_maxlag_too_large PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_fail_regression_type PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_fail_trim_value PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_fail_array_shape PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_fail_autolag_type PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_autolag_case_sensitivity[AIC] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_autolag_case_sensitivity[aic] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_autolag_case_sensitivity[Aic] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_rgnp_case PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_gnpdef_case PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_stkprc_case PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_rgnpq_case PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::TestZivotAndrews::test_rand10000_case PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_acf_conservate_nanops PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf_nlags_error PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_coint_auto_tstat PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_granger_causality_exceptions[dataset0] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_granger_causality_exceptions[dataset1] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_granger_causality_exceptions[dataset2] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_granger_causality_exceptions[dataset3] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_granger_causality_exception_maxlag PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_granger_causality_verbose PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf_small_sample[3] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf_small_sample[5] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf_small_sample[7] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf_small_sample[9] PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py::test_pacf_1_obs PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_acf PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_ccf PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_pacf_yw PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_pacf_ols PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_ywcoef PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_yule_walker_inter PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_duplication_matrix PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_elimination_matrix PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_commutation_matrix PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_vec PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_vech PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_ar_transparams PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_insert PASSED [ 98%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_noinsert PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_noinsert_atend PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_ndarray PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_noinsert_ndarray PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_noinsertatend_ndarray PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_sep_return PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag1d PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag1d_drop PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag1d_struct PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_1d_drop_struct PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_drop_insert PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_add_lag_drop_noinsert PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_dataframe_without_pandas PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_dataframe_both PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_too_few_observations PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_unknown_trim PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_dataframe_forward PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_pandas_errors PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_series_forward PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_series_both PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_range_index_columns PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat::test_duplicate_column_names PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected0] PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected1] PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected2] PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected3] PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected4] PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected5] PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected6] PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected7] PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected8] PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_freq_to_period[freq_expected9] PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestDetrend::test_detrend_1d PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestDetrend::test_detrend_2d PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestDetrend::test_detrend_series PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestDetrend::test_detrend_dataframe PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestDetrend::test_detrend_dim_too_large PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_series PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_dataframe PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_duplicate_const PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_dataframe_duplicate PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_array PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_unknown_trend PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestAddTrend::test_trend_n PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat2DS::test_lagmat2ds_numpy PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat2DS::test_lagmat2ds_pandas PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat2DS::test_lagmat2ds_use_pandas PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::TestLagmat2DS::test_3d_error PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_tsa_tools.py::test_grangercausality PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[monthly] SKIPPED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[monthly_start] SKIPPED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[monthly_co2] SKIPPED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[monthly_start_co2] SKIPPED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[series] SKIPPED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_select_order[dataframe] SKIPPED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot[monthly] SKIPPED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot[monthly_start] SKIPPED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot[monthly_co2] SKIPPED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot[monthly_start_co2] SKIPPED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot[series] SKIPPED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_x13.py::test_x13_arima_plot[dataframe] SKIPPED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_basic PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_table_trace PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_table_maxeval PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_normalization PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_evec PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh12::test_evals PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh09::test_basic PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh09::test_table_trace PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh09::test_table_maxeval PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh09::test_normalization PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJohMin18::test_basic PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJohMin18::test_table_trace PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJohMin18::test_table_maxeval PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJohMin18::test_normalization PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_basic PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_table_trace PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_table_maxeval PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::TestCointJoh25::test_normalization PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_coint.py::test_coint_johansen_0lag PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_A PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_B PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_basic PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_llf_ic PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_svar.py::TestSVAR::test_irf PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fevd_plot PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fevd_repr PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fevd_summary PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fevd_cov XFAIL [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_irf_coefs PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_irf PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_cum_effects PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_figsizes PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_constructor PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_names PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_get_eq_index PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_repr PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_params PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_cov_params PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_cov_ybar PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_tstat PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_pvalues PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_summary PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_detsig PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_aic PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_bic PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_hqic PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_fpe PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_lagorder_select PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_nobs PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_stderr PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_loglike PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_ma_rep PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_causality PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_causality_no_lags PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_select_order PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_is_stable PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_acf PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_acf_2_lags PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_acorr PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_forecast PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_forecast_interval PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_sim PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_acorr PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_plot_forecast PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_reorder PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResults::test_pickle PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_lutkepohl_parse PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_approx_mse PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_irf_stderr PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_cum_irf_stderr PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARResultsLutkepohl::test_lr_effect_stderr PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_get_trendorder PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_var_constant PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_var_trend PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_irf_trend PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_process PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_process_plotting PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_forecast_cov PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_exog PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::TestVARExtras::test_multiple_simulations PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_var_cov_params_pandas PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_summaries_exog PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_whiteness_nlag PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_var_maxlag PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_from_formula PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_correct_nobs PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var.py::test_irf_err_bands PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_coefs PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_det_terms PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_ols_sigma PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_log_like PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_fc PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_causality PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_impulse_response PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_lag_order_selection PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_normality PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_whiteness PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_var_jmulti.py::test_exceptions PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_gamma PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_alpha PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_beta PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_c PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_det_terms_in_coint_relation PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_ml_sigma PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_var_rep PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_var_to_vecm PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_log_like PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_fc PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_granger_causality PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_inst_causality PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_impulse_response PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_lag_order_selection PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_normality PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_whiteness PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_summary PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_exceptions PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_select_coint_rank PASSED [ 99%] ../.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/tests/test_vecm.py::test_VECM_seasonal_forecast PASSED [100%] =============================== warnings summary =============================== base/tests/test_penalized.py: 2 warnings base/tests/test_shrink_pickle.py: 3 warnings discrete/tests/test_count_model.py: 2 warnings discrete/tests/test_discrete.py: 9 warnings tsa/statespace/tests/test_fixed_params.py: 1 warning tsa/statespace/tests/test_impulse_responses.py: 2 warnings tsa/statespace/tests/test_sarimax.py: 1 warning tsa/vector_ar/tests/test_svar.py: 101 warnings /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:607: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals warnings.warn("Maximum Likelihood optimization failed to " discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_fit_regularized /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 4 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers warnings.warn(message, ConvergenceWarning) discrete/tests/test_count_model.py: 8 warnings discrete/tests/test_discrete.py: 2 warnings discrete/tests/test_truncated_model.py: 1 warning /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/l1_solvers_common.py:144: ConvergenceWarning: Could not trim params automatically due to failed QC check. Trimming using trim_mode == 'size' will still work. warnings.warn(msg, ConvergenceWarning) discrete/tests/test_count_model.py::TestZeroInflatedModel_logit::test_fit_regularized discrete/tests/test_count_model.py::TestZeroInflatedModel_probit::test_fit_regularized discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized discrete/tests/test_count_model.py::TestZeroInflatedModelPandas::test_fit_regularized /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 2 out of 6 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers warnings.warn(message, ConvergenceWarning) discrete/tests/test_count_model.py::TestZeroInflatedModel_offset::test_fit_regularized /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 3 out of 4 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers warnings.warn(message, ConvergenceWarning) discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_fit_regularized /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 2 out of 5 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers warnings.warn(message, ConvergenceWarning) discrete/tests/test_count_model.py::TestZeroInflatedGeneralizedPoisson::test_fit_regularized /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 3 out of 7 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers warnings.warn(message, ConvergenceWarning) discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_null discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP_predict2::test_mean /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/model.py:595: HessianInversionWarning: Inverting hessian failed, no bse or cov_params available warnings.warn('Inverting hessian failed, no bse or cov_params ' discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 2 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers warnings.warn(message, ConvergenceWarning) discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 3 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers warnings.warn(message, ConvergenceWarning) discrete/tests/test_count_model.py::TestZeroInflatedNegativeBinomialP::test_fit_regularized /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 1 out of 5 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers warnings.warn(message, ConvergenceWarning) discrete/tests/test_discrete.py::TestPoissonL1Compatability::test_params discrete/tests/test_discrete.py::TestNegativeBinomialGeoL1Compatability::test_params discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized /usr/lib/python3/dist-packages/numpy/_core/fromnumeric.py:86: RuntimeWarning: overflow encountered in reduce return ufunc.reduce(obj, axis, dtype, out, **passkwargs) discrete/tests/test_discrete.py::test_perfect_prediction discrete/tests/test_discrete.py::test_perfect_prediction discrete/tests/test_discrete.py::test_perfect_prediction /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/discrete/discrete_model.py:227: PerfectSeparationWarning: Perfect separation or prediction detected, parameter may not be identified warnings.warn(msg, category=PerfectSeparationWarning) discrete/tests/test_discrete.py::test_negative_binomial_default_alpha_param /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/links.py:13: FutureWarning: The nbinom link alias is deprecated. Use NegativeBinomial instead. The nbinom link alias will be removed after the 0.15.0 release. warnings.warn( discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 4 out of 10 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers warnings.warn(message, ConvergenceWarning) discrete/tests/test_discrete.py::TestGeneralizedPoisson_p1::test_fit_regularized /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 5 out of 11 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers warnings.warn(message, ConvergenceWarning) discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_influence discrete/tests/test_predict.py::TestNegativeBinomialPPredict::test_predict discrete/tests/test_predict.py::TestGeneralizedPoissonPredict::test_influence discrete/tests/test_truncated_model.py::TestHurdlePoissonR::test_predict /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/_prediction_inference.py:782: UserWarning: using default log-link in get_prediction warnings.warn("using default log-link in get_prediction") discrete/tests/test_predict.py::test_distr[case9] discrete/tests/test_predict.py::test_distr[case10] discrete/tests/test_predict.py::test_distr[case11] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/outliers_influence.py:545: RuntimeWarning: invalid value encountered in sqrt return sf / np.sqrt(hf) / np.sqrt(1 - self.hat_matrix_diag) discrete/tests/test_truncated_model.py::TestZeroTruncatedNBPModel::test_fit_regularized /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/base/l1_solvers_common.py:71: ConvergenceWarning: QC check did not pass for 2 out of 4 parameters Try increasing solver accuracy or number of iterations, decreasing alpha, or switch solvers warnings.warn(message, ConvergenceWarning) formula/tests/test_formula.py::TestFormulaPandas::test_summary formula/tests/test_formula.py::TestFormulaDict::test_summary regression/tests/test_regression.py::TestOLS::test_summary_slim /usr/lib/python3/dist-packages/scipy/stats/_axis_nan_policy.py:430: UserWarning: `kurtosistest` p-value may be inaccurate with fewer than 20 observations; only n=16 observations were given. return hypotest_fun_in(*args, **kwds) genmod/tests/test_gee.py::TestGEE::test_invalid_args[False-True] genmod/tests/test_gee.py::TestGEE::test_invalid_args[True-True] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/generalized_linear_model.py:314: RuntimeWarning: divide by zero encountered in log exposure = np.log(exposure) graphics/tests/test_functional.py: 800 warnings /usr/lib/python3.13/multiprocessing/popen_fork.py:67: DeprecationWarning: This process (pid=2124212) is multi-threaded, use of fork() may lead to deadlocks in the child. self.pid = os.fork() nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvls_efficient nonparametric/tests/test_kernel_density.py::TestKDEMultivariate::test_continuous_cvls_efficient /usr/lib/python3/dist-packages/joblib/externals/loky/backend/fork_exec.py:38: DeprecationWarning: This process (pid=2124212) is multi-threaded, use of fork() may lead to deadlocks in the child. pid = os.fork() nonparametric/tests/test_kernel_density.py::TestKDEMultivariateConditional::test_unordered_CV_LS /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernel_density.py:679: RuntimeWarning: invalid value encountered in scalar divide CV += (G / m_x ** 2) - 2 * (f_X_Y / m_x) nonparametric/tests/test_kernel_regression.py::TestKernelReg::test_continuousdata_lc_cvls /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/kernel_regression.py:251: RuntimeWarning: invalid value encountered in divide B_x = (G_numer * d_fx - G_denom * d_mx) / (G_denom**2) nonparametric/tests/test_lowess.py::TestLowess::test_duplicate_xs /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/nonparametric/smoothers_lowess.py:226: RuntimeWarning: invalid value encountered in divide res, _ = _lowess(y, x, x, np.ones_like(x), regression/tests/test_dimred.py::test_covreduce /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/dimred.py:694: ConvergenceWarning: CovReduce optimization did not converge, |g|=1.287955 warnings.warn(msg, ConvergenceWarning) robust/tests/test_scale.py::TestHuberAxes::test_axis1 /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/robust/scale.py:292: RuntimeWarning: divide by zero encountered in divide subset = np.less_equal(np.abs((a - mu) / scale), self.c) sandbox/tests/test_gam.py::TestGAMGaussianLogLink::test_predict /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/sandbox/gam.py:327: IterationLimitWarning: Maximum iteration reached. warnings.warn(iteration_limit_doc, IterationLimitWarning) sandbox/tests/test_gam.py::TestGAMNegativeBinomial::test_predict /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/families/family.py:1367: ValueWarning: Negative binomial dispersion parameter alpha not set. Using default value alpha=1.0. warnings.warn("Negative binomial dispersion parameter alpha not " stats/tests/test_corrpsd.py::TestCovPSD::test_cov_nearest stats/tests/test_corrpsd.py::TestCorrPSD1::test_nearest stats/tests/test_corrpsd.py::test_corrpsd_threshold[0] stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-15] stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-10] stats/tests/test_corrpsd.py::test_corrpsd_threshold[1e-06] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/correlation_tools.py:89: IterationLimitWarning: Maximum iteration reached. warnings.warn(iteration_limit_doc, IterationLimitWarning) stats/tests/test_descriptivestats.py::test_description_basic stats/tests/test_descriptivestats.py::test_empty_columns stats/tests/test_descriptivestats.py::test_empty_columns /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/descriptivestats.py:406: SmallSampleWarning: One or more sample arguments is too small; all returned values will be NaN. See documentation for sample size requirements. mode_res = stats.mode(ser_no_missing, **kwargs) stats/tests/test_power.py::test_power_solver_warn /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/power.py:132: RuntimeWarning: invalid value encountered in sqrt pow_ = stats.norm.sf(crit - d*np.sqrt(nobs)/sigma) stats/tests/test_tost.py::test_tost_asym /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/stats/weightstats.py:1479: RuntimeWarning: invalid value encountered in log low = transform(low) tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid tsa/base/tests/test_tsa_indexes.py::test_instantiation_valid /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tsa_model.py:559: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format. _index = to_datetime(index) tsa/holtwinters/tests/test_holtwinters.py::TestHoltWinters::test_holt_damp_r tsa/holtwinters/tests/test_holtwinters.py::test_no_params_to_optimize /usr/lib/python3/dist-packages/pandas/util/_decorators.py:213: EstimationWarning: Model has no free parameters to estimate. Set optimized=False to suppress this warning return func(*args, **kwargs) tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[TNC] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/holtwinters/model.py:903: ConvergenceWarning: Optimization failed to converge. Check mle_retvals. warnings.warn( tsa/holtwinters/tests/test_holtwinters.py::test_alternative_minimizers[trust-constr] /usr/lib/python3/dist-packages/scipy/optimize/_differentiable_functions.py:317: UserWarning: delta_grad == 0.0. Check if the approximated function is linear. If the function is linear better results can be obtained by defining the Hessian as zero instead of using quasi-Newton approximations. self.H.update(self.x - self.x_prev, self.g - self.g_prev) tsa/holtwinters/tests/test_holtwinters.py::test_forecast_index_types[irregular] tsa/holtwinters/tests/test_holtwinters.py::test_invalid_index /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/base/tsa_model.py:837: FutureWarning: No supported index is available. In the next version, calling this method in a model without a supported index will result in an exception. return get_prediction_index( tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/genmod/generalized_linear_model.py:898: RuntimeWarning: divide by zero encountered in scalar divide return np.sum(resid / self.family.variance(mu)) / self.df_resid tsa/statespace/tests/test_dynamic_factor_mq_monte_carlo.py::test_em_nonstationary /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/dynamic_factor_mq.py:2695: UserWarning: EM reached maximum number of iterations (2), without achieving convergence: llf=-23.123, convergence criterion=1.8362 (while specified tolerance was 1e-06) warn(f'EM reached maximum number of iterations ({maxiter}),' tsa/statespace/tests/test_mlemodel.py::test_integer_params /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/kalman_filter.py:1762: RuntimeWarning: invalid value encountered in scalar divide self.scale = np.sum(scale_obs[d:]) / nobs_k_endog tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/mlemodel.py:1235: RuntimeWarning: invalid value encountered in divide np.inner(score_obs, score_obs) / tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs /usr/lib/python3/dist-packages/numpy/_core/fromnumeric.py:4268: RuntimeWarning: Degrees of freedom <= 0 for slice return _methods._var(a, axis=axis, dtype=dtype, out=out, ddof=ddof, tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs /usr/lib/python3/dist-packages/numpy/_core/_methods.py:181: RuntimeWarning: invalid value encountered in divide arrmean = um.true_divide(arrmean, div, out=arrmean, tsa/statespace/tests/test_sarimax.py::test_plot_too_few_obs /usr/lib/python3/dist-packages/numpy/_core/_methods.py:215: RuntimeWarning: invalid value encountered in scalar divide ret = ret.dtype.type(ret / rcount) tsa/statespace/tests/test_sarimax.py::test_sarimax_starting_values_few_obsevations_long_ma tsa/tests/test_stattools.py::test_arma_order_select_ic /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/statespace/sarimax.py:978: UserWarning: Non-invertible starting MA parameters found. Using zeros as starting parameters. warn('Non-invertible starting MA parameters found.' tsa/stl/tests/test_mstl.py::test_number_of_seasonal_components[data-periods2-None-2] tsa/stl/tests/test_mstl.py::test_output_invariant_to_period_order[data-periods_ordered1-windows_ordered1-periods_not_ordered1-windows_not_ordered1] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/stl/mstl.py:218: UserWarning: A period(s) is larger than half the length of time series. Removing these period(s). warnings.warn( tsa/tests/test_exponential_smoothing.py::test_hessian /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_exponential_smoothing.py:669: PrecisionWarning: Calculation of the Hessian using finite differences is usually subject to substantial approximation errors. austourists_model_fit.model.hessian( tsa/tests/test_exponential_smoothing.py::test_seasonal_order[heuristic] /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/exponential_smoothing/ets.py:1448: RuntimeWarning: invalid value encountered in divide self.standardized_forecasts_error = ( tsa/tests/test_stattools.py::TestBreakvarHeteroskedasticityTest::test_2d_input_with_missing_values /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py:461: UserWarning: Later subset of data for variable 2 has too few non-missing observations to calculate test statistic. actual_statistic, actual_pvalue = breakvar_heteroskedasticity_test( tsa/tests/test_stattools.py::TestKPSS::test_none /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/tests/test_stattools.py:890: InterpolationWarning: The test statistic is outside of the range of p-values available in the look-up table. The actual p-value is smaller than the p-value returned. kpss(self.x, nlags=None) tsa/tests/test_stattools.py::test_pacf_1_obs /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/linear_model.py:1483: RuntimeWarning: invalid value encountered in scalar divide r[k] = (x[0:-k] * x[k:]).sum() / (n - k * adj_needed) tsa/tests/test_stattools.py::test_pacf_1_obs /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/regression/linear_model.py:1490: ValueWarning: Matrix is singular. Using pinv. warnings.warn("Matrix is singular. Using pinv.", ValueWarning) tsa/vector_ar/tests/test_var.py::test_irf_err_bands tsa/vector_ar/tests/test_var.py::test_irf_err_bands /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/irf.py:528: ComplexWarning: Casting complex values to real discards the imaginary part W[i,j,:,:], eigva[i,j,:,0], k[i,j] = util.eigval_decomp(cov_hold[i,j,:,:]) tsa/vector_ar/tests/test_var.py::test_irf_err_bands /build/reproducible-path/statsmodels-0.14.5+dfsg/.pybuild/cpython3_3.13_statsmodels/build/statsmodels/tsa/vector_ar/irf.py:483: ComplexWarning: Casting complex values to real discards the imaginary part W[i], eigva[i], k[i] = util.eigval_decomp(stack_cov[i]) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html = 17541 passed, 305 skipped, 140 xfailed, 2 xpassed, 1023 warnings in 2242.55s (0:37:22) = make[1]: Leaving directory '/build/reproducible-path/statsmodels-0.14.5+dfsg' create-stamp debian/debhelper-build-stamp dh_testroot -O--buildsystem=pybuild dh_prep -O--buildsystem=pybuild dh_auto_install -O--buildsystem=pybuild I: pybuild plugin_pyproject:178: Copying package built for python3.13 to destdir debian/rules execute_after_dh_auto_install make[1]: Entering directory '/build/reproducible-path/statsmodels-0.14.5+dfsg' : # Remove compiled due to testing files find debian -name *.pyc -delete rm -f debian/*/usr/lib/*/dist-packages/enet_poisson.csv debian/*/usr/lib/*/dist-packages/enet_binomial.csv : # strip docs/ since they aren't really a Python module, there is -doc for it : # TODO find debian -wholename \*scikits/statsmodels/docs | xargs rm -rf : # remove other unnecessary files rm -fv debian/*/usr/setup.cfg find debian -iname COPYING -o -iname LICENSE* | xargs -r rm -fv removed 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels-0.14.5+dfsg.dist-info/licenses/LICENSE.txt' removed 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/stats/libqsturng/LICENSE.txt' removed 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/LICENSE.txt' : # move binary libraries into -lib for PACKAGE_NAME in python3-statsmodels; do \ for lib in $(find debian/${PACKAGE_NAME}/usr -name '*.so'); do \ sdir=$(dirname $lib) ; \ tdir=debian/${PACKAGE_NAME}-lib/${sdir#*${PACKAGE_NAME}/} ; \ mkdir -p $tdir ; \ echo "I: Moving '$lib' into '$tdir'." ; \ mv $lib $tdir ; \ done ; \ done I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/nonparametric/_smoothers_lowess.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/nonparametric'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/nonparametric/linbin.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/nonparametric'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/holtwinters/_exponential_smoothers.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/holtwinters'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/regime_switching/_kim_smoother.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/regime_switching'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/regime_switching/_hamilton_filter.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/regime_switching'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/exponential_smoothing/_ets_smooth.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/exponential_smoothing'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/innovations/_arma_innovations.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/innovations'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/stl/_stl.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/stl'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_smoothers/_classical.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_smoothers'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_smoothers/_conventional.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_smoothers'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_smoothers'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_smoothers/_alternative.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_smoothers'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_smoothers/_univariate.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_smoothers'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_kalman_smoother.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_representation.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_cfa_simulation_smoother.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_initialization.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_simulation_smoother.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_tools.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_filters/_conventional.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_filters'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_filters/_univariate_diffuse.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_filters'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_filters/_univariate.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_filters'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_filters/_inversions.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_filters'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace/_kalman_filter.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa/statespace'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/tsa/_innovations.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/tsa'. I: Moving 'debian/python3-statsmodels/usr/lib/python3.13/dist-packages/statsmodels/robust/_qn.cpython-313-x86_64-linux-gnu.so' into 'debian/python3-statsmodels-lib/usr/lib/python3.13/dist-packages/statsmodels/robust'. make[1]: Leaving directory '/build/reproducible-path/statsmodels-0.14.5+dfsg' dh_installdocs -O--buildsystem=pybuild dh_installdocs: warning: Cannot auto-detect main package for python-statsmodels-doc. If the default is wrong, please use --doc-main-package dh_sphinxdoc -O--buildsystem=pybuild dh_sphinxdoc: warning: ignoring unknown JavaScript code: debian/python-statsmodels-doc/usr/share/doc/python-statsmodels-doc/html/_static/mktree.js dh_sphinxdoc: warning: ignoring unknown JavaScript code: debian/python-statsmodels-doc/usr/share/doc/python-statsmodels-doc/html/_static/facebox.js dh_sphinxdoc: warning: ignoring unknown JavaScript code: debian/python-statsmodels-doc/usr/share/doc/python-statsmodels-doc/html/_static/scripts.js dh_installchangelogs -O--buildsystem=pybuild dh_installexamples -O--buildsystem=pybuild dh_installexamples: warning: Cannot auto-detect main package for python-statsmodels-doc. If the default is wrong, please use --doc-main-package dh_python3 -O--buildsystem=pybuild I: dh_python3 pydist:339: Ignoring complex environment marker: pywinpty; os_name == "nt" and extra == "develop" dh_installsystemduser -O--buildsystem=pybuild dh_lintian -O--buildsystem=pybuild dh_perl -O--buildsystem=pybuild debian/rules execute_before_dh_link make[1]: Entering directory '/build/reproducible-path/statsmodels-0.14.5+dfsg' : # deduplicate images - the ||true is because we only build-depend on jdupes if we're building documentation jdupes -r -l debian/python-statsmodels-doc/usr/share/doc || true make[1]: Leaving directory '/build/reproducible-path/statsmodels-0.14.5+dfsg' dh_link -O--buildsystem=pybuild dh_strip_nondeterminism -O--buildsystem=pybuild debian/rules override_dh_compress make[1]: Entering directory '/build/reproducible-path/statsmodels-0.14.5+dfsg' dh_compress -X.py -X.html -X.pdf -X.css -X.jpg -X.txt -X.js -X.json -X.rtc -X.inv -Xobjects.inv make[1]: Leaving directory '/build/reproducible-path/statsmodels-0.14.5+dfsg' dh_fixperms -O--buildsystem=pybuild debian/rules execute_after_dh_fixperms make[1]: Entering directory '/build/reproducible-path/statsmodels-0.14.5+dfsg' find debian -name "*.txt" -exec chmod -x \{\} \; make[1]: Leaving directory '/build/reproducible-path/statsmodels-0.14.5+dfsg' dh_missing -O--buildsystem=pybuild dh_dwz -a -O--buildsystem=pybuild dh_strip -a -O--buildsystem=pybuild dh_makeshlibs -a -O--buildsystem=pybuild dh_shlibdeps -a -O--buildsystem=pybuild dh_installdeb -O--buildsystem=pybuild dh_numpy3 -O--buildsystem=pybuild Possible precedence issue with control flow operator (return) at /usr/bin/dh_numpy3 line 57. dh_gencontrol -O--buildsystem=pybuild dpkg-gencontrol: warning: Provides field of package python3-statsmodels: substitution variable ${python3:Provides} used, but is not defined dpkg-gencontrol: warning: package python-statsmodels-doc: substitution variable ${sphinxdoc:Built-Using} unused, but is defined dh_md5sums -O--buildsystem=pybuild dh_builddeb -O--buildsystem=pybuild dpkg-deb: building package 'python3-statsmodels-lib' in '../python3-statsmodels-lib_0.14.5+dfsg-1_amd64.deb'. dpkg-deb: building package 'python3-statsmodels' in '../python3-statsmodels_0.14.5+dfsg-1_all.deb'. dpkg-deb: building package 'python-statsmodels-doc' in '../python-statsmodels-doc_0.14.5+dfsg-1_all.deb'. dpkg-deb: building package 'python3-statsmodels-lib-dbgsym' in '../python3-statsmodels-lib-dbgsym_0.14.5+dfsg-1_amd64.deb'. dpkg-genbuildinfo --build=binary -O../statsmodels_0.14.5+dfsg-1_amd64.buildinfo dpkg-genchanges --build=binary -O../statsmodels_0.14.5+dfsg-1_amd64.changes dpkg-genchanges: info: binary-only upload (no source code included) dpkg-source --after-build . dpkg-buildpackage: info: binary-only upload (no source included) dpkg-genchanges: info: including full source code in upload I: copying local configuration I: user script /srv/workspace/pbuilder/838649/tmp/hooks/B01_cleanup starting I: user script /srv/workspace/pbuilder/838649/tmp/hooks/B01_cleanup finished I: unmounting dev/ptmx filesystem I: unmounting dev/pts filesystem I: unmounting dev/shm filesystem I: unmounting proc filesystem I: unmounting sys filesystem I: cleaning the build env I: removing directory /srv/workspace/pbuilder/838649 and its subdirectories I: Current time: Tue Sep 2 06:49:36 +14 2025 I: pbuilder-time-stamp: 1756745376