I: pbuilder: network access will be disabled during build I: Current time: Tue Apr 21 12:03:13 -12 2026 I: pbuilder-time-stamp: 1776816193 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/unstable-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: using eatmydata during job I: Copying source file I: copying [python-dtcwt_0.14.0-1.dsc] I: copying [./python-dtcwt_0.14.0.orig.tar.gz] I: copying [./python-dtcwt_0.14.0-1.debian.tar.xz] I: Extracting source dpkg-source: warning: cannot verify inline signature for ./python-dtcwt_0.14.0-1.dsc: unsupported subcommand dpkg-source: info: extracting python-dtcwt in python-dtcwt-0.14.0 dpkg-source: info: unpacking python-dtcwt_0.14.0.orig.tar.gz dpkg-source: info: unpacking python-dtcwt_0.14.0-1.debian.tar.xz dpkg-source: info: using patch list from debian/patches/series dpkg-source: info: applying use-system-mathjax.patch dpkg-source: info: applying reproducible-build.patch dpkg-source: info: applying numpy-fix.patch dpkg-source: info: applying pytest-nose-deprecation.patch dpkg-source: info: applying SyntaxWarning.patch I: Not using root during the build. I: Installing the build-deps I: user script /srv/workspace/pbuilder/131023/tmp/hooks/D02_print_environment starting I: set BUILDDIR='/build/reproducible-path' BUILDUSERGECOS='first user,first room,first work-phone,first home-phone,first other' BUILDUSERNAME='pbuilder1' BUILD_ARCH='i386' DEBIAN_FRONTEND='noninteractive' DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all parallel=22 ' DISTRIBUTION='unstable' HOME='/root' HOST_ARCH='i386' IFS=' ' INVOCATION_ID='8b3395bb32074077883ae252017b78d9' LANG='C' LANGUAGE='en_US:en' LC_ALL='C' LD_LIBRARY_PATH='/usr/lib/libeatmydata' LD_PRELOAD='libeatmydata.so' MAIL='/var/mail/root' OPTIND='1' PATH='/usr/sbin:/usr/bin:/sbin:/bin:/usr/games' PBCURRENTCOMMANDLINEOPERATION='build' PBUILDER_OPERATION='build' PBUILDER_PKGDATADIR='/usr/share/pbuilder' PBUILDER_PKGLIBDIR='/usr/lib/pbuilder' PBUILDER_SYSCONFDIR='/etc' PPID='131023' PS1='# ' PS2='> ' PS4='+ ' PWD='/' SHELL='/bin/bash' SHLVL='2' SUDO_COMMAND='/usr/bin/timeout -k 18.1h 18h /usr/bin/ionice -c 3 /usr/bin/nice /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/r-b-build.ubbOkece/pbuilderrc_oZgV --distribution unstable --hookdir /etc/pbuilder/first-build-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/unstable-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.ubbOkece/b1 --logfile b1/build.log python-dtcwt_0.14.0-1.dsc' SUDO_GID='112' SUDO_UID='107' SUDO_USER='jenkins' TERM='unknown' TZ='/usr/share/zoneinfo/Etc/GMT+12' USER='root' _='/usr/bin/systemd-run' http_proxy='http://213.165.73.152:3128' I: uname -a Linux ionos16-i386 6.1.0-32-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.1.129-1 (2025-03-06) x86_64 GNU/Linux I: ls -l /bin lrwxrwxrwx 1 root root 7 Mar 4 2025 /bin -> usr/bin I: user script /srv/workspace/pbuilder/131023/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: i386 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: debhelper-compat (= 13), dh-sequence-python3, python3-all, python3-coverage, python3-matplotlib, python3-numpy, python3-pytest, python3-scipy, python3-setuptools, python3-six, python3-sphinx, python3-sphinx-rtd-theme, sphinx-common dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'. Selecting previously unselected package pbuilder-satisfydepends-dummy. (Reading database ... 19770 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 debhelper-compat (= 13); however: Package debhelper-compat is not installed. pbuilder-satisfydepends-dummy depends on dh-sequence-python3; however: Package dh-sequence-python3 is not installed. pbuilder-satisfydepends-dummy depends on python3-all; however: Package python3-all is not installed. pbuilder-satisfydepends-dummy depends on python3-coverage; however: Package python3-coverage is not installed. pbuilder-satisfydepends-dummy depends on python3-matplotlib; however: Package python3-matplotlib is not installed. pbuilder-satisfydepends-dummy depends on python3-numpy; however: Package python3-numpy is not installed. pbuilder-satisfydepends-dummy depends on python3-pytest; however: Package python3-pytest is not installed. pbuilder-satisfydepends-dummy depends on python3-scipy; however: Package python3-scipy is not installed. pbuilder-satisfydepends-dummy depends on python3-setuptools; however: Package python3-setuptools is not installed. pbuilder-satisfydepends-dummy depends on python3-six; however: Package python3-six is not installed. pbuilder-satisfydepends-dummy depends on python3-sphinx; however: Package python3-sphinx is not installed. pbuilder-satisfydepends-dummy depends on python3-sphinx-rtd-theme; however: Package python3-sphinx-rtd-theme is not installed. pbuilder-satisfydepends-dummy depends on sphinx-common; however: Package sphinx-common 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} debhelper{a} dh-autoreconf{a} dh-python{a} dh-strip-nondeterminism{a} docutils-common{a} dwz{a} file{a} fontconfig-config{a} fonts-dejavu-core{a} fonts-dejavu-mono{a} fonts-font-awesome{a} fonts-lato{a} fonts-lyx{a} gettext{a} gettext-base{a} groff-base{a} intltool-debian{a} libarchive-zip-perl{a} libblas3{a} libbrotli1{a} libdebhelper-perl{a} libdeflate0{a} libelf1t64{a} libexpat1{a} libffi8{a} libfile-stripnondeterminism-perl{a} libfontconfig1{a} libfreetype6{a} libfribidi0{a} libgcrypt20{a} libgfortran5{a} libglib2.0-0t64{a} libgpg-error0{a} libgraphite2-3{a} libharfbuzz0b{a} libicu76{a} libimagequant0{a} libjbig0{a} libjpeg62-turbo{a} libjs-jquery{a} libjs-jquery-ui{a} libjs-sphinxdoc{a} libjs-underscore{a} libjson-perl{a} liblapack3{a} liblcms2-2{a} liblerc4{a} libmagic-mgc{a} libmagic1t64{a} libopenjp2-7{a} libpipeline1{a} libpng16-16t64{a} libpython3-stdlib{a} libpython3.13-minimal{a} libpython3.13-stdlib{a} libqhull-r8.0{a} libraqm0{a} libreadline8t64{a} libsharpyuv0{a} libtcl8.6{a} libtiff6{a} libtk8.6{a} libtool{a} libuchardet0{a} libunistring5{a} libwebp7{a} libwebpdemux2{a} libwebpmux3{a} libx11-6{a} libx11-data{a} libxau6{a} libxcb1{a} libxdmcp6{a} libxext6{a} libxft2{a} libxml2{a} libxrender1{a} libxslt1.1{a} libxss1{a} m4{a} man-db{a} media-types{a} netbase{a} openssl{a} po-debconf{a} python-babel-localedata{a} python-matplotlib-data{a} python3{a} python3-alabaster{a} python3-all{a} python3-attr{a} python3-autocommand{a} python3-babel{a} python3-brotli{a} python3-certifi{a} python3-chardet{a} python3-charset-normalizer{a} python3-contourpy{a} python3-coverage{a} python3-cycler{a} python3-dateutil{a} python3-decorator{a} python3-defusedxml{a} python3-docutils{a} python3-fonttools{a} python3-fs{a} python3-idna{a} python3-imagesize{a} python3-inflect{a} python3-iniconfig{a} python3-jaraco.context{a} python3-jaraco.functools{a} python3-jaraco.text{a} python3-jinja2{a} python3-kiwisolver{a} python3-lxml{a} python3-lz4{a} python3-markupsafe{a} python3-matplotlib{a} python3-minimal{a} python3-more-itertools{a} python3-mpmath{a} python3-numpy{a} python3-numpy-dev{a} python3-packaging{a} python3-pil{a} python3-pil.imagetk{a} python3-pkg-resources{a} python3-platformdirs{a} python3-pluggy{a} python3-pygments{a} python3-pyparsing{a} python3-pytest{a} python3-requests{a} python3-roman{a} python3-scipy{a} python3-setuptools{a} python3-six{a} python3-snowballstemmer{a} python3-sphinx{a} python3-sphinx-rtd-theme{a} python3-sphinxcontrib.jquery{a} python3-sympy{a} python3-tk{a} python3-typeguard{a} python3-typing-extensions{a} python3-ufolib2{a} python3-urllib3{a} python3-zipp{a} python3.13{a} python3.13-minimal{a} python3.13-tk{a} readline-common{a} sensible-utils{a} sgml-base{a} sphinx-common{a} sphinx-rtd-theme-common{a} tk8.6-blt2.5{a} tzdata{a} unicode-data{a} x11-common{a} xml-core{a} The following packages are RECOMMENDED but will NOT be installed: curl isympy-common javascript-common libarchive-cpio-perl libglib2.0-data libgpg-error-l10n libjson-xs-perl libltdl-dev libmail-sendmail-perl libpaper-utils lynx python3-bs4 python3-cssselect python3-html5lib python3-olefile python3-pooch python3-yaml shared-mime-info wget xdg-user-dirs 0 packages upgraded, 169 newly installed, 0 to remove and 0 not upgraded. Need to get 127 MB of archives. After unpacking 494 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian unstable/main i386 fonts-lato all 2.015-1 [2780 kB] Get: 2 http://deb.debian.org/debian unstable/main i386 libpython3.13-minimal i386 3.13.2-2 [859 kB] Get: 3 http://deb.debian.org/debian unstable/main i386 libexpat1 i386 2.7.0-1 [109 kB] Get: 4 http://deb.debian.org/debian unstable/main i386 python3.13-minimal i386 3.13.2-2 [2262 kB] Get: 5 http://deb.debian.org/debian unstable/main i386 python3-minimal i386 3.13.2-2 [27.1 kB] Get: 6 http://deb.debian.org/debian unstable/main i386 media-types all 13.0.0 [29.3 kB] Get: 7 http://deb.debian.org/debian unstable/main i386 netbase all 6.5 [12.4 kB] Get: 8 http://deb.debian.org/debian unstable/main i386 tzdata all 2025a-2 [259 kB] Get: 9 http://deb.debian.org/debian unstable/main i386 libffi8 i386 3.4.7-1 [21.4 kB] Get: 10 http://deb.debian.org/debian unstable/main i386 readline-common all 8.2-6 [69.4 kB] Get: 11 http://deb.debian.org/debian unstable/main i386 libreadline8t64 i386 8.2-6 [173 kB] Get: 12 http://deb.debian.org/debian unstable/main i386 libpython3.13-stdlib i386 3.13.2-2 [1960 kB] Get: 13 http://deb.debian.org/debian unstable/main i386 python3.13 i386 3.13.2-2 [746 kB] Get: 14 http://deb.debian.org/debian unstable/main i386 libpython3-stdlib i386 3.13.2-2 [10.1 kB] Get: 15 http://deb.debian.org/debian unstable/main i386 python3 i386 3.13.2-2 [28.1 kB] Get: 16 http://deb.debian.org/debian unstable/main i386 python3-numpy-dev i386 1:2.2.3+ds-5 [146 kB] Get: 17 http://deb.debian.org/debian unstable/main i386 libblas3 i386 3.12.1-2 [150 kB] Get: 18 http://deb.debian.org/debian unstable/main i386 libgfortran5 i386 14.2.0-19 [735 kB] Get: 19 http://deb.debian.org/debian unstable/main i386 liblapack3 i386 3.12.1-2 [2198 kB] Get: 20 http://deb.debian.org/debian unstable/main i386 python3-numpy i386 1:2.2.3+ds-5 [5060 kB] Get: 21 http://deb.debian.org/debian unstable/main i386 sgml-base all 1.31 [15.4 kB] Get: 22 http://deb.debian.org/debian unstable/main i386 sensible-utils all 0.0.24 [24.8 kB] Get: 23 http://deb.debian.org/debian unstable/main i386 openssl i386 3.4.1-1 [1432 kB] Get: 24 http://deb.debian.org/debian unstable/main i386 ca-certificates all 20241223 [164 kB] Get: 25 http://deb.debian.org/debian unstable/main i386 libmagic-mgc i386 1:5.46-2 [337 kB] Get: 26 http://deb.debian.org/debian unstable/main i386 libmagic1t64 i386 1:5.46-2 [117 kB] Get: 27 http://deb.debian.org/debian unstable/main i386 file i386 1:5.46-2 [43.4 kB] Get: 28 http://deb.debian.org/debian unstable/main i386 gettext-base i386 0.23.1-1 [245 kB] Get: 29 http://deb.debian.org/debian unstable/main i386 libuchardet0 i386 0.0.8-1+b2 [69.2 kB] Get: 30 http://deb.debian.org/debian unstable/main i386 groff-base i386 1.23.0-7 [1199 kB] Get: 31 http://deb.debian.org/debian unstable/main i386 bsdextrautils i386 2.40.4-5 [96.5 kB] Get: 32 http://deb.debian.org/debian unstable/main i386 libpipeline1 i386 1.5.8-1 [41.2 kB] Get: 33 http://deb.debian.org/debian unstable/main i386 man-db i386 2.13.0-1 [1428 kB] Get: 34 http://deb.debian.org/debian unstable/main i386 m4 i386 1.4.19-7 [301 kB] Get: 35 http://deb.debian.org/debian unstable/main i386 autoconf all 2.72-3 [493 kB] Get: 36 http://deb.debian.org/debian unstable/main i386 autotools-dev all 20220109.1 [51.6 kB] Get: 37 http://deb.debian.org/debian unstable/main i386 automake all 1:1.17-3 [862 kB] Get: 38 http://deb.debian.org/debian unstable/main i386 autopoint all 0.23.1-1 [770 kB] Get: 39 http://deb.debian.org/debian unstable/main i386 libtcl8.6 i386 8.6.16+dfsg-1 [1103 kB] Get: 40 http://deb.debian.org/debian unstable/main i386 libbrotli1 i386 1.1.0-2+b7 [299 kB] Get: 41 http://deb.debian.org/debian unstable/main i386 libpng16-16t64 i386 1.6.47-1.1 [289 kB] Get: 42 http://deb.debian.org/debian unstable/main i386 libfreetype6 i386 2.13.3+dfsg-1 [464 kB] Get: 43 http://deb.debian.org/debian unstable/main i386 fonts-dejavu-mono all 2.37-8 [489 kB] Get: 44 http://deb.debian.org/debian unstable/main i386 fonts-dejavu-core all 2.37-8 [840 kB] Get: 45 http://deb.debian.org/debian unstable/main i386 fontconfig-config i386 2.15.0-2.1 [318 kB] Get: 46 http://deb.debian.org/debian unstable/main i386 libfontconfig1 i386 2.15.0-2.1 [402 kB] Get: 47 http://deb.debian.org/debian unstable/main i386 libxau6 i386 1:1.0.11-1 [20.7 kB] Get: 48 http://deb.debian.org/debian unstable/main i386 libxdmcp6 i386 1:1.1.5-1 [28.2 kB] Get: 49 http://deb.debian.org/debian unstable/main i386 libxcb1 i386 1.17.0-2+b1 [148 kB] Get: 50 http://deb.debian.org/debian unstable/main i386 libx11-data all 2:1.8.10-2 [337 kB] Get: 51 http://deb.debian.org/debian unstable/main i386 libx11-6 i386 2:1.8.10-2 [834 kB] Get: 52 http://deb.debian.org/debian unstable/main i386 libxrender1 i386 1:0.9.10-1.1+b4 [28.8 kB] Get: 53 http://deb.debian.org/debian unstable/main i386 libxft2 i386 2.3.6-1+b4 [55.3 kB] Get: 54 http://deb.debian.org/debian unstable/main i386 libxext6 i386 2:1.3.4-1+b3 [52.5 kB] Get: 55 http://deb.debian.org/debian unstable/main i386 x11-common all 1:7.7+24 [217 kB] Get: 56 http://deb.debian.org/debian unstable/main i386 libxss1 i386 1:1.2.3-1+b3 [17.3 kB] Get: 57 http://deb.debian.org/debian unstable/main i386 libtk8.6 i386 8.6.16-1 [834 kB] Get: 58 http://deb.debian.org/debian unstable/main i386 tk8.6-blt2.5 i386 2.5.3+dfsg-8 [618 kB] Get: 59 http://deb.debian.org/debian unstable/main i386 blt i386 2.5.3+dfsg-8 [5984 B] Get: 60 http://deb.debian.org/debian unstable/main i386 libdebhelper-perl all 13.24.1 [90.9 kB] Get: 61 http://deb.debian.org/debian unstable/main i386 libtool all 2.5.4-4 [539 kB] Get: 62 http://deb.debian.org/debian unstable/main i386 dh-autoreconf all 20 [17.1 kB] Get: 63 http://deb.debian.org/debian unstable/main i386 libarchive-zip-perl all 1.68-1 [104 kB] Get: 64 http://deb.debian.org/debian unstable/main i386 libfile-stripnondeterminism-perl all 1.14.1-2 [19.7 kB] Get: 65 http://deb.debian.org/debian unstable/main i386 dh-strip-nondeterminism all 1.14.1-2 [8620 B] Get: 66 http://deb.debian.org/debian unstable/main i386 libelf1t64 i386 0.192-4 [195 kB] Get: 67 http://deb.debian.org/debian unstable/main i386 dwz i386 0.15-1+b1 [116 kB] Get: 68 http://deb.debian.org/debian unstable/main i386 libunistring5 i386 1.3-1 [458 kB] Get: 69 http://deb.debian.org/debian unstable/main i386 libicu76 i386 76.1-3 [9893 kB] Get: 70 http://deb.debian.org/debian unstable/main i386 libxml2 i386 2.12.7+dfsg+really2.9.14-0.3+b1 [734 kB] Get: 71 http://deb.debian.org/debian unstable/main i386 gettext i386 0.23.1-1 [1714 kB] Get: 72 http://deb.debian.org/debian unstable/main i386 intltool-debian all 0.35.0+20060710.6 [22.9 kB] Get: 73 http://deb.debian.org/debian unstable/main i386 po-debconf all 1.0.21+nmu1 [248 kB] Get: 74 http://deb.debian.org/debian unstable/main i386 debhelper all 13.24.1 [920 kB] Get: 75 http://deb.debian.org/debian unstable/main i386 dh-python all 6.20250308 [115 kB] Get: 76 http://deb.debian.org/debian unstable/main i386 xml-core all 0.19 [20.1 kB] Get: 77 http://deb.debian.org/debian unstable/main i386 docutils-common all 0.21.2+dfsg-2 [128 kB] Get: 78 http://deb.debian.org/debian unstable/main i386 fonts-font-awesome all 5.0.10+really4.7.0~dfsg-4.1 [517 kB] Get: 79 http://deb.debian.org/debian unstable/main i386 fonts-lyx all 2.4.3-1 [190 kB] Get: 80 http://deb.debian.org/debian unstable/main i386 libdeflate0 i386 1.23-1+b1 [48.4 kB] Get: 81 http://deb.debian.org/debian unstable/main i386 libfribidi0 i386 1.0.16-1 [27.0 kB] Get: 82 http://deb.debian.org/debian unstable/main i386 libgpg-error0 i386 1.51-3 [87.3 kB] Get: 83 http://deb.debian.org/debian unstable/main i386 libgcrypt20 i386 1.11.0-7 [799 kB] Get: 84 http://deb.debian.org/debian unstable/main i386 libglib2.0-0t64 i386 2.84.0-2 [1583 kB] Get: 85 http://deb.debian.org/debian unstable/main i386 libgraphite2-3 i386 1.3.14-2+b1 [77.8 kB] Get: 86 http://deb.debian.org/debian unstable/main i386 libharfbuzz0b i386 10.2.0-1+b1 [505 kB] Get: 87 http://deb.debian.org/debian unstable/main i386 libimagequant0 i386 2.18.0-1+b2 [36.0 kB] Get: 88 http://deb.debian.org/debian unstable/main i386 libjbig0 i386 2.1-6.1+b2 [32.2 kB] Get: 89 http://deb.debian.org/debian unstable/main i386 libjpeg62-turbo i386 1:2.1.5-3.1 [170 kB] Get: 90 http://deb.debian.org/debian unstable/main i386 libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [326 kB] Get: 91 http://deb.debian.org/debian unstable/main i386 libjs-jquery-ui all 1.13.2+dfsg-1 [250 kB] Get: 92 http://deb.debian.org/debian unstable/main i386 libjs-underscore all 1.13.4~dfsg+~1.11.4-3 [116 kB] Get: 93 http://deb.debian.org/debian unstable/main i386 libjs-sphinxdoc all 8.1.3-5 [30.5 kB] Get: 94 http://deb.debian.org/debian unstable/main i386 libjson-perl all 4.10000-1 [87.5 kB] Get: 95 http://deb.debian.org/debian unstable/main i386 liblcms2-2 i386 2.16-2 [171 kB] Get: 96 http://deb.debian.org/debian unstable/main i386 liblerc4 i386 4.0.0+ds-5 [191 kB] Get: 97 http://deb.debian.org/debian unstable/main i386 libopenjp2-7 i386 2.5.3-2 [216 kB] Get: 98 http://deb.debian.org/debian unstable/main i386 libqhull-r8.0 i386 2020.2-6+b2 [259 kB] Get: 99 http://deb.debian.org/debian unstable/main i386 libraqm0 i386 0.10.2-1 [14.6 kB] Get: 100 http://deb.debian.org/debian unstable/main i386 libsharpyuv0 i386 1.5.0-0.1 [115 kB] Get: 101 http://deb.debian.org/debian unstable/main i386 libwebp7 i386 1.5.0-0.1 [329 kB] Get: 102 http://deb.debian.org/debian unstable/main i386 libtiff6 i386 4.5.1+git230720-5 [339 kB] Get: 103 http://deb.debian.org/debian unstable/main i386 libwebpdemux2 i386 1.5.0-0.1 [114 kB] Get: 104 http://deb.debian.org/debian unstable/main i386 libwebpmux3 i386 1.5.0-0.1 [127 kB] Get: 105 http://deb.debian.org/debian unstable/main i386 libxslt1.1 i386 1.1.35-1.2 [243 kB] Get: 106 http://deb.debian.org/debian unstable/main i386 python-babel-localedata all 2.17.0-1 [6050 kB] Get: 107 http://deb.debian.org/debian unstable/main i386 python-matplotlib-data all 3.8.3-7 [2735 kB] Get: 108 http://deb.debian.org/debian unstable/main i386 python3-alabaster all 0.7.16-0.1 [27.9 kB] Get: 109 http://deb.debian.org/debian unstable/main i386 python3-all i386 3.13.2-2 [1044 B] Get: 110 http://deb.debian.org/debian unstable/main i386 python3-attr all 25.1.0-1 [68.7 kB] Get: 111 http://deb.debian.org/debian unstable/main i386 python3-autocommand all 2.2.2-3 [13.6 kB] Get: 112 http://deb.debian.org/debian unstable/main i386 python3-babel all 2.17.0-1 [117 kB] Get: 113 http://deb.debian.org/debian unstable/main i386 python3-brotli i386 1.1.0-2+b7 [318 kB] Get: 114 http://deb.debian.org/debian unstable/main i386 python3-certifi all 2025.1.31+ds-1 [9652 B] Get: 115 http://deb.debian.org/debian unstable/main i386 python3-chardet all 5.2.0+dfsg-2 [108 kB] Get: 116 http://deb.debian.org/debian unstable/main i386 python3-charset-normalizer i386 3.4.1-1+b1 [127 kB] Get: 117 http://deb.debian.org/debian unstable/main i386 python3-contourpy i386 1.3.1-1+b1 [223 kB] Get: 118 http://deb.debian.org/debian unstable/main i386 python3-coverage i386 7.6.0+dfsg1-2+b2 [176 kB] Get: 119 http://deb.debian.org/debian unstable/main i386 python3-cycler all 0.12.1-1 [9496 B] Get: 120 http://deb.debian.org/debian unstable/main i386 python3-dateutil all 2.9.0-4 [79.4 kB] Get: 121 http://deb.debian.org/debian unstable/main i386 python3-decorator all 5.1.1-5 [15.1 kB] Get: 122 http://deb.debian.org/debian unstable/main i386 python3-defusedxml all 0.7.1-3 [43.4 kB] Get: 123 http://deb.debian.org/debian unstable/main i386 python3-roman all 5.0-1 [10.6 kB] Get: 124 http://deb.debian.org/debian unstable/main i386 python3-docutils all 0.21.2+dfsg-2 [403 kB] Get: 125 http://deb.debian.org/debian unstable/main i386 python3-platformdirs all 4.3.6-1 [16.6 kB] Get: 126 http://deb.debian.org/debian unstable/main i386 python3-fs all 2.4.16-7 [95.2 kB] Get: 127 http://deb.debian.org/debian unstable/main i386 python3-lxml i386 5.3.1-1+b1 [1257 kB] Get: 128 http://deb.debian.org/debian unstable/main i386 python3-lz4 i386 4.4.0+dfsg-1+b1 [25.5 kB] Get: 129 http://deb.debian.org/debian unstable/main i386 python3-scipy i386 1.15.2-6 [16.4 MB] Get: 130 http://deb.debian.org/debian unstable/main i386 python3-mpmath all 1.3.0-1 [419 kB] Get: 131 http://deb.debian.org/debian unstable/main i386 python3-sympy all 1.13.3-5 [4148 kB] Get: 132 http://deb.debian.org/debian unstable/main i386 python3-ufolib2 all 0.17.0+dfsg1-1 [33.0 kB] Get: 133 http://deb.debian.org/debian unstable/main i386 unicode-data all 15.1.0-1 [8547 kB] Get: 134 http://deb.debian.org/debian unstable/main i386 python3-fonttools i386 4.55.3-2+b1 [1442 kB] Get: 135 http://deb.debian.org/debian unstable/main i386 python3-idna all 3.10-1 [42.0 kB] Get: 136 http://deb.debian.org/debian unstable/main i386 python3-imagesize all 1.4.1-1 [6688 B] Get: 137 http://deb.debian.org/debian unstable/main i386 python3-more-itertools all 10.6.0-1 [65.3 kB] Get: 138 http://deb.debian.org/debian unstable/main i386 python3-typing-extensions all 4.12.2-2 [73.0 kB] Get: 139 http://deb.debian.org/debian unstable/main i386 python3-typeguard all 4.4.2-1 [37.3 kB] Get: 140 http://deb.debian.org/debian unstable/main i386 python3-inflect all 7.3.1-2 [32.4 kB] Get: 141 http://deb.debian.org/debian unstable/main i386 python3-iniconfig all 1.1.1-2 [6396 B] Get: 142 http://deb.debian.org/debian unstable/main i386 python3-jaraco.functools all 4.1.0-1 [12.0 kB] Get: 143 http://deb.debian.org/debian unstable/main i386 python3-pkg-resources all 75.8.0-1 [222 kB] Get: 144 http://deb.debian.org/debian unstable/main i386 python3-jaraco.text all 4.0.0-1 [11.4 kB] Get: 145 http://deb.debian.org/debian unstable/main i386 python3-zipp all 3.21.0-1 [10.6 kB] Get: 146 http://deb.debian.org/debian unstable/main i386 python3-setuptools all 75.8.0-1 [724 kB] Get: 147 http://deb.debian.org/debian unstable/main i386 python3-jaraco.context all 6.0.1-1 [8276 B] Get: 148 http://deb.debian.org/debian unstable/main i386 python3-markupsafe i386 2.1.5-1+b3 [14.0 kB] Get: 149 http://deb.debian.org/debian unstable/main i386 python3-jinja2 all 3.1.5-2 [107 kB] Get: 150 http://deb.debian.org/debian unstable/main i386 python3-kiwisolver i386 1.4.7-3+b1 [69.7 kB] Get: 151 http://deb.debian.org/debian unstable/main i386 python3-pil i386 11.1.0-5+b1 [518 kB] Get: 152 http://deb.debian.org/debian unstable/main i386 python3.13-tk i386 3.13.2-2 [108 kB] Get: 153 http://deb.debian.org/debian unstable/main i386 python3-tk i386 3.13.2-1 [9516 B] Get: 154 http://deb.debian.org/debian unstable/main i386 python3-pil.imagetk i386 11.1.0-5+b1 [81.9 kB] Get: 155 http://deb.debian.org/debian unstable/main i386 python3-pyparsing all 3.1.2-1 [146 kB] Get: 156 http://deb.debian.org/debian unstable/main i386 python3-packaging all 24.2-1 [55.3 kB] Get: 157 http://deb.debian.org/debian unstable/main i386 python3-matplotlib i386 3.8.3-7+b1 [23.0 MB] Get: 158 http://deb.debian.org/debian unstable/main i386 python3-pluggy all 1.5.0-1 [26.9 kB] Get: 159 http://deb.debian.org/debian unstable/main i386 python3-pygments all 2.18.0+dfsg-2 [836 kB] Get: 160 http://deb.debian.org/debian unstable/main i386 python3-pytest all 8.3.5-1 [250 kB] Get: 161 http://deb.debian.org/debian unstable/main i386 python3-urllib3 all 2.3.0-2 [114 kB] Get: 162 http://deb.debian.org/debian unstable/main i386 python3-requests all 2.32.3+dfsg-4 [72.1 kB] Get: 163 http://deb.debian.org/debian unstable/main i386 python3-six all 1.17.0-1 [16.5 kB] Get: 164 http://deb.debian.org/debian unstable/main i386 python3-snowballstemmer all 2.2.0-4 [58.0 kB] Get: 165 http://deb.debian.org/debian unstable/main i386 sphinx-common all 8.1.3-5 [617 kB] Get: 166 http://deb.debian.org/debian unstable/main i386 python3-sphinx all 8.1.3-5 [468 kB] Get: 167 http://deb.debian.org/debian unstable/main i386 sphinx-rtd-theme-common all 3.0.2+dfsg-2 [1023 kB] Get: 168 http://deb.debian.org/debian unstable/main i386 python3-sphinxcontrib.jquery all 4.1-5 [7348 B] Get: 169 http://deb.debian.org/debian unstable/main i386 python3-sphinx-rtd-theme all 3.0.2+dfsg-2 [29.7 kB] Fetched 127 MB in 1s (144 MB/s) Preconfiguring packages ... Selecting previously unselected package fonts-lato. (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 ... 19770 files and directories currently installed.) Preparing to unpack .../fonts-lato_2.015-1_all.deb ... Unpacking fonts-lato (2.015-1) ... Selecting previously unselected package libpython3.13-minimal:i386. Preparing to unpack .../libpython3.13-minimal_3.13.2-2_i386.deb ... Unpacking libpython3.13-minimal:i386 (3.13.2-2) ... Selecting previously unselected package libexpat1:i386. 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Adding 'diversion of /lib/i386-linux-gnu/libhistory.so.8 to /lib/i386-linux-gnu/libhistory.so.8.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/i386-linux-gnu/libhistory.so.8.2 to /lib/i386-linux-gnu/libhistory.so.8.2.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/i386-linux-gnu/libreadline.so.8 to /lib/i386-linux-gnu/libreadline.so.8.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/i386-linux-gnu/libreadline.so.8.2 to /lib/i386-linux-gnu/libreadline.so.8.2.usr-is-merged by libreadline8t64' Unpacking libreadline8t64:i386 (8.2-6) ... Selecting previously unselected package libpython3.13-stdlib:i386. Preparing to unpack .../7-libpython3.13-stdlib_3.13.2-2_i386.deb ... Unpacking libpython3.13-stdlib:i386 (3.13.2-2) ... Selecting previously unselected package python3.13. Preparing to unpack .../8-python3.13_3.13.2-2_i386.deb ... Unpacking python3.13 (3.13.2-2) ... Selecting previously unselected package libpython3-stdlib:i386. 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Setting up libblas3:i386 (3.12.1-2) ... update-alternatives: using /usr/lib/i386-linux-gnu/blas/libblas.so.3 to provide /usr/lib/i386-linux-gnu/libblas.so.3 (libblas.so.3-i386-linux-gnu) in auto mode Setting up libjpeg62-turbo:i386 (1:2.1.5-3.1) ... Setting up libx11-data (2:1.8.10-2) ... Setting up libfribidi0:i386 (1.0.16-1) ... Setting up libimagequant0:i386 (2.18.0-1+b2) ... Setting up libunistring5:i386 (1.3-1) ... Setting up fonts-dejavu-mono (2.37-8) ... Setting up libpng16-16t64:i386 (1.6.47-1.1) ... Setting up python3-numpy-dev:i386 (1:2.2.3+ds-5) ... Setting up libtcl8.6:i386 (8.6.16+dfsg-1) ... Setting up autopoint (0.23.1-1) ... Setting up fonts-dejavu-core (2.37-8) ... Setting up libgfortran5:i386 (14.2.0-19) ... Setting up autoconf (2.72-3) ... Setting up libwebp7:i386 (1.5.0-0.1) ... Setting up libffi8:i386 (3.4.7-1) ... Setting up dwz (0.15-1+b1) ... Setting up sensible-utils (0.0.24) ... Setting up libtiff6:i386 (4.5.1+git230720-5) ... 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Setting up liblapack3:i386 (3.12.1-2) ... update-alternatives: using /usr/lib/i386-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/i386-linux-gnu/liblapack.so.3 (liblapack.so.3-i386-linux-gnu) in auto mode Setting up gettext (0.23.1-1) ... Setting up libxrender1:i386 (1:0.9.10-1.1+b4) ... Setting up libtool (2.5.4-4) ... Setting up fontconfig-config (2.15.0-2.1) ... Setting up libwebpdemux2:i386 (1.5.0-0.1) ... Setting up libxext6:i386 (2:1.3.4-1+b3) ... Setting up intltool-debian (0.35.0+20060710.6) ... Setting up dh-autoreconf (20) ... Setting up ca-certificates (20241223) ... Updating certificates in /etc/ssl/certs... 152 added, 0 removed; done. Setting up libglib2.0-0t64:i386 (2.84.0-2) ... No schema files found: doing nothing. Setting up libjs-jquery-ui (1.13.2+dfsg-1) ... Setting up libfreetype6:i386 (2.13.3+dfsg-1) ... Setting up libjs-sphinxdoc (8.1.3-5) ... Setting up libreadline8t64:i386 (8.2-6) ... Setting up dh-strip-nondeterminism (1.14.1-2) ... Setting up groff-base (1.23.0-7) ... Setting up xml-core (0.19) ... Setting up libxslt1.1:i386 (1.1.35-1.2) ... Setting up libharfbuzz0b:i386 (10.2.0-1+b1) ... Setting up libxss1:i386 (1:1.2.3-1+b3) ... Setting up libfontconfig1:i386 (2.15.0-2.1) ... Setting up libpython3.13-stdlib:i386 (3.13.2-2) ... Setting up libpython3-stdlib:i386 (3.13.2-2) ... Setting up libxft2:i386 (2.3.6-1+b4) ... Setting up python3.13 (3.13.2-2) ... Setting up po-debconf (1.0.21+nmu1) ... Setting up libtk8.6:i386 (8.6.16-1) ... Setting up python3 (3.13.2-2) ... Setting up python3-zipp (3.21.0-1) ... Setting up python3-autocommand (2.2.2-3) ... Setting up man-db (2.13.0-1) ... Not building database; man-db/auto-update is not 'true'. Setting up python3-markupsafe (2.1.5-1+b3) ... Setting up python3.13-tk (3.13.2-2) ... Setting up python3-platformdirs (4.3.6-1) ... Setting up python3-fs (2.4.16-7) ... Setting up python3-six (1.17.0-1) ... Setting up python3-roman (5.0-1) ... Setting up python3-decorator (5.1.1-5) ... Setting up python3-jinja2 (3.1.5-2) ... Setting up python3-pygments (2.18.0+dfsg-2) ... Setting up python3-packaging (24.2-1) ... Setting up python3-chardet (5.2.0+dfsg-2) ... Setting up python3-pyparsing (3.1.2-1) ... Setting up python3-certifi (2025.1.31+ds-1) ... Setting up python3-snowballstemmer (2.2.0-4) ... Setting up python3-brotli (1.1.0-2+b7) ... Setting up libraqm0:i386 (0.10.2-1) ... Setting up sphinx-common (8.1.3-5) ... Setting up python3-cycler (0.12.1-1) ... Setting up python3-kiwisolver (1.4.7-3+b1) ... Setting up python3-idna (3.10-1) ... Setting up python3-typing-extensions (4.12.2-2) ... Setting up python3-numpy (1:2.2.3+ds-5) ... Setting up python3-urllib3 (2.3.0-2) ... Setting up python3-pluggy (1.5.0-1) ... Setting up python3-lxml:i386 (5.3.1-1+b1) ... Setting up python3-dateutil (2.9.0-4) ... Setting up python3-contourpy (1.3.1-1+b1) ... Setting up python3-mpmath (1.3.0-1) ... Setting up python3-imagesize (1.4.1-1) ... Setting up dh-python (6.20250308) ... Setting up python3-more-itertools (10.6.0-1) ... Setting up python3-iniconfig (1.1.1-2) ... Setting up python3-sympy (1.13.3-5) ... Setting up python3-attr (25.1.0-1) ... Setting up tk8.6-blt2.5 (2.5.3+dfsg-8) ... Setting up python3-scipy (1.15.2-6) ... Setting up python3-jaraco.functools (4.1.0-1) ... Setting up python3-jaraco.context (6.0.1-1) ... 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-lz4 (4.4.0+dfsg-1+b1) ... Setting up python3-defusedxml (0.7.1-3) ... Setting up python3-charset-normalizer (3.4.1-1+b1) ... Setting up python3-pytest (8.3.5-1) ... Setting up python3-alabaster (0.7.16-0.1) ... Setting up blt (2.5.3+dfsg-8) ... Setting up python3-typeguard (4.4.2-1) ... Setting up python3-all (3.13.2-2) ... Setting up python3-coverage (7.6.0+dfsg1-2+b2) ... Setting up python3-tk:i386 (3.13.2-1) ... Setting up debhelper (13.24.1) ... Setting up python3-pil:i386 (11.1.0-5+b1) ... Setting up python3-inflect (7.3.1-2) ... Setting up python3-pil.imagetk:i386 (11.1.0-5+b1) ... Setting up python3-jaraco.text (4.0.0-1) ... Setting up python3-requests (2.32.3+dfsg-4) ... Setting up python3-pkg-resources (75.8.0-1) ... Setting up python3-setuptools (75.8.0-1) ... Setting up python3-ufolib2 (0.17.0+dfsg1-1) ... Setting up python3-fonttools (4.55.3-2+b1) ... Setting up python3-matplotlib (3.8.3-7+b1) ... Processing triggers for libc-bin (2.41-6) ... Processing triggers for sgml-base (1.31) ... Setting up docutils-common (0.21.2+dfsg-2) ... Processing triggers for sgml-base (1.31) ... Setting up python3-docutils (0.21.2+dfsg-2) ... Setting up python3-sphinx (8.1.3-5) ... Setting up python3-sphinxcontrib.jquery (4.1-5) ... Setting up python3-sphinx-rtd-theme (3.0.2+dfsg-2) ... Processing triggers for ca-certificates (20241223) ... 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: Running cd /build/reproducible-path/python-dtcwt-0.14.0/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-genchanges -S > ../python-dtcwt_0.14.0-1_source.changes dpkg-buildpackage: info: source package python-dtcwt dpkg-buildpackage: info: source version 0.14.0-1 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Alexandre Detiste dpkg-source --before-build . dpkg-buildpackage: info: host architecture i386 debian/rules clean dh clean --with sphinxdoc --buildsystem=pybuild dh_auto_clean -O--buildsystem=pybuild I: pybuild base:311: python3.13 setup.py clean /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:270: UserWarning: Unknown distribution option: 'tests_require' warnings.warn(msg) running clean removing '/build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build' (and everything under it) 'build/bdist.linux-i686' does not exist -- can't clean it 'build/scripts-3.13' does not exist -- can't clean it dh_autoreconf_clean -O--buildsystem=pybuild dh_clean -O--buildsystem=pybuild debian/rules binary dh binary --with sphinxdoc --buildsystem=pybuild dh_update_autotools_config -O--buildsystem=pybuild dh_autoreconf -O--buildsystem=pybuild dh_auto_configure -O--buildsystem=pybuild I: pybuild base:311: python3.13 setup.py config /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:270: UserWarning: Unknown distribution option: 'tests_require' warnings.warn(msg) running config debian/rules override_dh_auto_build make[1]: Entering directory '/build/reproducible-path/python-dtcwt-0.14.0' dh_auto_build I: pybuild base:311: /usr/bin/python3 setup.py build /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:270: UserWarning: Unknown distribution option: 'tests_require' warnings.warn(msg) running build running build_py creating /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt copying dtcwt/defaults.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt copying dtcwt/coeffs.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt copying dtcwt/__init__.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt copying dtcwt/plotting.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt copying dtcwt/_version.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt copying dtcwt/utils.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt copying dtcwt/registration.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt copying dtcwt/sampling.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt copying dtcwt/keypoint.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt copying dtcwt/compat.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt creating /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/tf copying dtcwt/tf/lowlevel.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/tf copying dtcwt/tf/__init__.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/tf copying dtcwt/tf/transform1d.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/tf copying dtcwt/tf/transform2d.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/tf copying dtcwt/tf/common.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/tf creating /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/opencl copying dtcwt/opencl/transform3d.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/opencl copying dtcwt/opencl/lowlevel.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/opencl copying dtcwt/opencl/__init__.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/opencl copying dtcwt/opencl/transform2d.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/opencl creating /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/numpy copying dtcwt/numpy/transform3d.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/numpy copying dtcwt/numpy/lowlevel.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/numpy copying dtcwt/numpy/__init__.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/numpy copying dtcwt/numpy/transform1d.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/numpy copying dtcwt/numpy/transform2d.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/numpy copying dtcwt/numpy/common.py -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/numpy creating /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/data copying dtcwt/data/qshift_b.npz -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/data copying dtcwt/data/qshift_b_bp.npz -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/data copying dtcwt/data/qshift_06.npz -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/data copying dtcwt/data/qshift_32.npz -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/data copying dtcwt/data/antonini.npz -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/data copying dtcwt/data/legall.npz -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/data copying dtcwt/data/near_sym_b_bp.npz -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/data copying dtcwt/data/qshift_c.npz -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/data copying dtcwt/data/qshift_d.npz -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/data copying dtcwt/data/near_sym_a.npz -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/data copying dtcwt/data/qshift_a.npz -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/data copying dtcwt/data/near_sym_b.npz -> /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build/dtcwt/data PYTHONPATH=. python3 -m sphinx -N -bhtml docs/ build/html Running Sphinx v8.1.3 loading translations [en]... done Matplotlib created a temporary cache directory at /tmp/matplotlib-6kptnplg because the default path (/nonexistent/first-build/.config/matplotlib) is not a writable directory; it is highly recommended to set the MPLCONFIGDIR environment variable to a writable directory, in particular to speed up the import of Matplotlib and to better support multiprocessing. making output directory... done Converting `source_suffix = '.rst'` to `source_suffix = {'.rst': 'restructuredtext'}`. building [mo]: targets for 0 po files that are out of date writing output... building [html]: targets for 12 source files that are out of date updating environment: [new config] 12 added, 0 changed, 0 removed reading sources... [ 8%] 1dtransform reading sources... [ 17%] 2dtransform reading sources... [ 25%] 3dtransform reading sources... [ 33%] algorithms reading sources... [ 42%] backends reading sources... [ 50%] examples INFO:root:Loading frames from "traffic" INFO:root:Taking DTCWT reading sources... [ 58%] gettingstarted reading sources... [ 67%] index reading sources... [ 75%] reference reading sources... [ 83%] registration reading sources... [ 92%] transforms reading sources... [100%] variant /build/reproducible-path/python-dtcwt-0.14.0/docs/1dtransform.rst:9: WARNING: Exception occurred in plotting 1dtransform-1 from /build/reproducible-path/python-dtcwt-0.14.0/docs/1dtransform.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 552, in _run_code exec(code, ns) ~~~~^^^^^^^^^^ File "", line 14, in File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/numpy/transform1d.py", line 51, in forward X = asfarray(X) File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/utils.py", line 105, in asfarray return np.asfarray(X, dtype=X.dtype) ^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/numpy/__init__.py", line 400, in __getattr__ raise AttributeError( ...<3 lines>... ) AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. [docutils] /build/reproducible-path/python-dtcwt-0.14.0/docs/2dtransform.rst:8: WARNING: Exception occurred in plotting 2dtransform-1 from /build/reproducible-path/python-dtcwt-0.14.0/docs/2dtransform.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 552, in _run_code exec(code, ns) ~~~~^^^^^^^^^^ File "", line 12, in File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/numpy/transform2d.py", line 73, in forward X = np.atleast_2d(asfarray(X)) ~~~~~~~~^^^ File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/utils.py", line 105, in asfarray return np.asfarray(X, dtype=X.dtype) ^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/numpy/__init__.py", line 400, in __getattr__ raise AttributeError( ...<3 lines>... ) AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. [docutils] /build/reproducible-path/python-dtcwt-0.14.0/docs/3dtransform.rst:17: WARNING: Exception occurred in plotting 3dtransform-2 from /build/reproducible-path/python-dtcwt-0.14.0/docs/3dtransform.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 552, in _run_code exec(code, ns) ~~~~^^^^^^^^^^ File "", line 11, in File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/numpy/transform3d.py", line 82, in forward X = np.atleast_3d(asfarray(X)) ~~~~~~~~^^^ File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/utils.py", line 105, in asfarray return np.asfarray(X, dtype=X.dtype) ^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/numpy/__init__.py", line 400, in __getattr__ raise AttributeError( ...<3 lines>... ) AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. [docutils] /build/reproducible-path/python-dtcwt-0.14.0/docs/3dtransform.rst:57: WARNING: Exception occurred in plotting 3dtransform-3 from /build/reproducible-path/python-dtcwt-0.14.0/docs/3dtransform.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 552, in _run_code exec(code, ns) ~~~~^^^^^^^^^^ File "", line 10, in NameError: name 'sphere_t' is not defined [docutils] /build/reproducible-path/python-dtcwt-0.14.0/docs/backends.rst:2: WARNING: Duplicate explicit target name: "tensorflow". [docutils] /build/reproducible-path/python-dtcwt-0.14.0/docs/examples.rst:15: WARNING: Exception occurred in plotting 3d_dtcwt_directionality from /build/reproducible-path/python-dtcwt-0.14.0/docs/3d_dtcwt_directionality.py: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 552, in _run_code exec(code, ns) ~~~~^^^^^^^^^^ File "", line 104, in File "", line 40, in main File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/compat.py", line 241, in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/numpy/transform3d.py", line 82, in forward X = np.atleast_3d(asfarray(X)) ~~~~~~~~^^^ File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/utils.py", line 105, in asfarray return np.asfarray(X, dtype=X.dtype) ^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/numpy/__init__.py", line 400, in __getattr__ raise AttributeError( ...<3 lines>... ) AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. [docutils] /build/reproducible-path/python-dtcwt-0.14.0/docs/examples.rst:41: WARNING: Exception occurred in plotting image-registration from /build/reproducible-path/python-dtcwt-0.14.0/docs/image-registration.py: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 552, in _run_code exec(code, ns) ~~~~^^^^^^^^^^ File "", line 79, in File "", line 36, in register_frames File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/numpy/transform2d.py", line 73, in forward X = np.atleast_2d(asfarray(X)) ~~~~~~~~^^^ File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/utils.py", line 105, in asfarray return np.asfarray(X, dtype=X.dtype) ^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/numpy/__init__.py", line 400, in __getattr__ raise AttributeError( ...<3 lines>... ) AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. [docutils] /build/reproducible-path/python-dtcwt-0.14.0/dtcwt/numpy/common.py:docstring of dtcwt.numpy.common.Pyramid:1: WARNING: duplicate object description of dtcwt.numpy.common.Pyramid, other instance in reference, use :no-index: for one of them /build/reproducible-path/python-dtcwt-0.14.0/dtcwt/numpy/transform1d.py:docstring of dtcwt.numpy.transform1d.Transform1d:1: WARNING: duplicate object description of dtcwt.numpy.transform1d.Transform1d, other instance in reference, use :no-index: for one of them /build/reproducible-path/python-dtcwt-0.14.0/dtcwt/numpy/transform2d.py:docstring of dtcwt.numpy.transform2d.Transform2d:1: WARNING: duplicate object description of dtcwt.numpy.transform2d.Transform2d, other instance in reference, use :no-index: for one of them /build/reproducible-path/python-dtcwt-0.14.0/dtcwt/numpy/transform3d.py:docstring of dtcwt.numpy.transform3d.Transform3d:1: WARNING: duplicate object description of dtcwt.numpy.transform3d.Transform3d, other instance in reference, use :no-index: for one of them /build/reproducible-path/python-dtcwt-0.14.0/docs/registration.rst:321: WARNING: Exception occurred in plotting registration-2 from /build/reproducible-path/python-dtcwt-0.14.0/docs/registration.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 552, in _run_code exec(code, ns) ~~~~^^^^^^^^^^ File "", line 6, in File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/numpy/transform2d.py", line 73, in forward X = np.atleast_2d(asfarray(X)) ~~~~~~~~^^^ File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/utils.py", line 105, in asfarray return np.asfarray(X, dtype=X.dtype) ^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/numpy/__init__.py", line 400, in __getattr__ raise AttributeError( ...<3 lines>... ) AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. [docutils] /build/reproducible-path/python-dtcwt-0.14.0/docs/registration.rst:367: WARNING: Exception occurred in plotting registration-3 from /build/reproducible-path/python-dtcwt-0.14.0/docs/registration.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 552, in _run_code exec(code, ns) ~~~~^^^^^^^^^^ File "", line 6, in File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/numpy/transform2d.py", line 73, in forward X = np.atleast_2d(asfarray(X)) ~~~~~~~~^^^ File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/utils.py", line 105, in asfarray return np.asfarray(X, dtype=X.dtype) ^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/numpy/__init__.py", line 400, in __getattr__ raise AttributeError( ...<3 lines>... ) AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. [docutils] /build/reproducible-path/python-dtcwt-0.14.0/docs/registration.rst:407: WARNING: Exception occurred in plotting registration-4 from /build/reproducible-path/python-dtcwt-0.14.0/docs/registration.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 552, in _run_code exec(code, ns) ~~~~^^^^^^^^^^ File "", line 6, in File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/numpy/transform2d.py", line 73, in forward X = np.atleast_2d(asfarray(X)) ~~~~~~~~^^^ File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/utils.py", line 105, in asfarray return np.asfarray(X, dtype=X.dtype) ^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/numpy/__init__.py", line 400, in __getattr__ raise AttributeError( ...<3 lines>... ) AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. [docutils] /build/reproducible-path/python-dtcwt-0.14.0/docs/variant.rst:56: WARNING: Exception occurred in plotting variant-1 from /build/reproducible-path/python-dtcwt-0.14.0/docs/variant.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 552, in _run_code exec(code, ns) ~~~~^^^^^^^^^^ File "", line 8, in File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/numpy/transform2d.py", line 73, in forward X = np.atleast_2d(asfarray(X)) ~~~~~~~~^^^ File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/utils.py", line 105, in asfarray return np.asfarray(X, dtype=X.dtype) ^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/numpy/__init__.py", line 400, in __getattr__ raise AttributeError( ...<3 lines>... ) AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. [docutils] /build/reproducible-path/python-dtcwt-0.14.0/docs/variant.rst:80: WARNING: Exception occurred in plotting variant-2 from /build/reproducible-path/python-dtcwt-0.14.0/docs/variant.rst: Traceback (most recent call last): File "/usr/lib/python3/dist-packages/matplotlib/sphinxext/plot_directive.py", line 552, in _run_code exec(code, ns) ~~~~^^^^^^^^^^ File "", line 8, in File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/numpy/transform2d.py", line 73, in forward X = np.atleast_2d(asfarray(X)) ~~~~~~~~^^^ File "/build/reproducible-path/python-dtcwt-0.14.0/dtcwt/utils.py", line 105, in asfarray return np.asfarray(X, dtype=X.dtype) ^^^^^^^^^^^ File "/usr/lib/python3/dist-packages/numpy/__init__.py", line 400, in __getattr__ raise AttributeError( ...<3 lines>... ) AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. [docutils] looking for now-outdated files... none found pickling environment... done checking consistency... done preparing documents... done copying assets... copying downloadable files... [ 5%] ../build/html/plot_directive/1dtransform-1.py copying downloadable files... [ 10%] ../build/html/plot_directive/2dtransform-1.py copying downloadable files... [ 14%] ../build/html/plot_directive/3dtransform-1.py copying downloadable files... [ 19%] ../build/html/plot_directive/3dtransform-1.png copying downloadable files... [ 24%] ../build/html/plot_directive/3dtransform-1.hires.png copying downloadable files... [ 29%] ../build/html/plot_directive/3dtransform-1.pdf copying downloadable files... [ 33%] ../build/html/plot_directive/3dtransform-2.py copying downloadable files... [ 38%] ../build/html/plot_directive/3dtransform-3.py copying downloadable files... [ 43%] 3d_dtcwt_directionality.py copying downloadable files... [ 48%] ../build/html/plot_directive/3d_dtcwt_directionality.py copying downloadable files... [ 52%] image-registration.py copying downloadable files... [ 57%] ../build/html/plot_directive/image-registration.py copying downloadable files... [ 62%] ../build/html/plot_directive/registration-1.py copying downloadable files... [ 67%] ../build/html/plot_directive/registration-1.png copying downloadable files... [ 71%] ../build/html/plot_directive/registration-1.hires.png copying downloadable files... [ 76%] ../build/html/plot_directive/registration-1.pdf copying downloadable files... [ 81%] ../build/html/plot_directive/registration-2.py copying downloadable files... [ 86%] ../build/html/plot_directive/registration-3.py copying downloadable files... [ 90%] ../build/html/plot_directive/registration-4.py copying downloadable files... [ 95%] ../build/html/plot_directive/variant-1.py copying downloadable files... [100%] ../build/html/plot_directive/variant-2.py copying static files... Writing evaluated template result to /build/reproducible-path/python-dtcwt-0.14.0/build/html/_static/basic.css Writing evaluated template result to /build/reproducible-path/python-dtcwt-0.14.0/build/html/_static/language_data.js Writing evaluated template result to /build/reproducible-path/python-dtcwt-0.14.0/build/html/_static/documentation_options.js Writing evaluated template result to /build/reproducible-path/python-dtcwt-0.14.0/build/html/_static/js/versions.js copying static files: done copying extra files... copying extra files: done copying assets: done writing output... [ 8%] 1dtransform writing output... [ 17%] 2dtransform writing output... [ 25%] 3dtransform writing output... [ 33%] algorithms writing output... [ 42%] backends writing output... [ 50%] examples writing output... [ 58%] gettingstarted writing output... [ 67%] index writing output... [ 75%] reference writing output... [ 83%] registration writing output... [ 92%] transforms writing output... [100%] variant generating indices... genindex py-modindex done writing additional pages... search done copying images... [ 25%] ../build/html/plot_directive/3dtransform-1.png copying images... [ 50%] registration-flow.png copying images... [ 75%] ../build/html/plot_directive/registration-1.png copying images... [100%] modified_wavelets.png dumping search index in English (code: en)... done dumping object inventory... done build succeeded, 16 warnings. The HTML pages are in build/html. make[1]: Leaving directory '/build/reproducible-path/python-dtcwt-0.14.0' dh_auto_test -O--buildsystem=pybuild I: pybuild base:311: cd /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build; python3.13 -m pytest tests ============================= test session starts ============================== platform linux -- Python 3.13.2, pytest-8.3.5, pluggy-1.5.0 rootdir: /build/reproducible-path/python-dtcwt-0.14.0 plugins: typeguard-4.4.2 collected 339 items tests/test_againstmatlab.py .FFFFF [ 1%] tests/test_coeffs.py ............ [ 5%] tests/test_coldfilt.py .FFFFFF [ 7%] tests/test_colfilter.py .FFFFFF [ 9%] tests/test_colifilt.py .FFFFFFFFF [ 12%] tests/test_ifm1.py FFF [ 13%] tests/test_ifm2.py .FFFF [ 14%] tests/test_import.py . [ 15%] tests/test_openclcoldfilt.py .ssssssss [ 17%] tests/test_openclcolfilter.py .ssssss [ 19%] tests/test_openclcolifilt.py .ssssssssssss [ 23%] tests/test_openclxfm2.py .ssssssssss [ 26%] tests/test_reflect.py ... [ 27%] tests/test_registration.py .F [ 28%] tests/test_sampling.py ... [ 29%] tests/test_switchbackends.py ....s.. [ 31%] tests/test_tfTransform1d.py ssssssssssssssssssssssssssssssssssssss [ 42%] tests/test_tfTransform2d.py ssssssssssssssssssssssssssssssssssssssssssss [ 55%] sssssssssssssss [ 59%] tests/test_tfcoldfilt.py sssssssssss [ 63%] tests/test_tfcolfilter.py ssssssssssss [ 66%] tests/test_tfcolifilt.py ssssssssssssss [ 70%] tests/test_tfinputshapes.py ssssssssssssssssssss [ 76%] tests/test_tfrowdfilt.py sssssssssss [ 79%] tests/test_tfrowfilter.py ssssssssssss [ 83%] tests/test_utils.py FF..... [ 85%] tests/test_xfm1.py FFFFFFFFFFFF [ 89%] tests/test_xfm2.py .FFFFFFFFFFFFFFFFF [ 94%] tests/test_xfm3.py .FFFFFFFFFFFFFFFFFF [100%] =================================== FAILURES =================================== ________________________________ test_coldfilt _________________________________ def test_coldfilt(): h0o, g0o, h1o, g1o = biort('near_sym_b') h0a, h0b, g0a, g0b, h1a, h1b, g1a, g1b = qshift('qshift_d') > A = colifilt(mandrill, g0b, g0a) tests/test_againstmatlab.py:81: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:184: in colifilt X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _______________________________ test_dtwavexfm2 ________________________________ def test_dtwavexfm2(): > Yl, Yh, Yscale = dtwavexfm2(mandrill, 4, 'near_sym_a', 'qshift_a', include_scale=True) tests/test_againstmatlab.py:85: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _______________________________ test_dtwavexfm2b _______________________________ def test_dtwavexfm2b(): > Yl, Yh, Yscale = dtwavexfm2b(mandrill, 4, 'near_sym_b_bp', 'qshift_b_bp', include_scale=True) tests/test_againstmatlab.py:95: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ____________________________ test_rescale_highpass _____________________________ def test_rescale_highpass(): # N.B we can only test bilinear rescaling since cpxinterb2b doesn't support Lanczos > Yl, Yh = dtwavexfm2b(mandrill, 3, 'near_sym_a', 'qshift_a') tests/test_againstmatlab.py:106: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ____________________________ test_transform3d_numpy ____________________________ def test_transform3d_numpy(): transform = Transform3d(biort='near_sym_b',qshift='qshift_b') > td_signal = transform.forward(qbgn, nlevels=3, include_scale=True, discard_level_1=False) tests/test_againstmatlab.py:117: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _______________________________ test_odd_filter ________________________________ def test_odd_filter(): with raises(ValueError): > coldfilt(mandrill, (-1,2,-1), (-1,2,1)) tests/test_coldfilt.py:22: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:113: in coldfilt X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _____________________________ test_different_size ______________________________ def test_different_size(): with raises(ValueError): > coldfilt(mandrill, (-0.5,-1,2,1,0.5), (-1,2,-1)) tests/test_coldfilt.py:26: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:113: in coldfilt X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _____________________________ test_bad_input_size ______________________________ def test_bad_input_size(): with raises(ValueError): > coldfilt(mandrill[:511,:], (-1,1), (1,-1)) tests/test_coldfilt.py:30: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:113: in coldfilt X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _____________________________ test_good_input_size _____________________________ def test_good_input_size(): > coldfilt(mandrill[:,:511], (-1,1), (1,-1)) tests/test_coldfilt.py:33: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:113: in coldfilt X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _____________________ test_good_input_size_non_orthogonal ______________________ def test_good_input_size_non_orthogonal(): > coldfilt(mandrill[:,:511], (1,1), (1,1)) tests/test_coldfilt.py:36: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:113: in coldfilt X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _______________________________ test_output_size _______________________________ def test_output_size(): > Y = coldfilt(mandrill, (-1,1), (1,-1)) tests/test_coldfilt.py:39: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:113: in coldfilt X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ________________________________ test_odd_size _________________________________ def test_odd_size(): > y = colfilter(mandrill, (-1,2,-1)) tests/test_colfilter.py:28: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:65: in colfilter X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ________________________________ test_even_size ________________________________ def test_even_size(): > y = colfilter(np.zeros_like(mandrill), (-1,1)) tests/test_colfilter.py:40: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:65: in colfilter X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _________________________________ test_qshift __________________________________ def test_qshift(): > y = colfilter(mandrill, qshift('qshift_a')[0]) tests/test_colfilter.py:32: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:65: in colfilter X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError __________________________________ test_biort __________________________________ def test_biort(): > y = colfilter(mandrill, biort('antonini')[0]) tests/test_colfilter.py:36: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:65: in colfilter X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ___________________________ test_odd_size_non_array ____________________________ def test_odd_size_non_array(): > y = colfilter(mandrill.tolist(), (-1,2,-1)) tests/test_colfilter.py:45: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:65: in colfilter X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ___________________________ test_even_size_non_array ___________________________ def test_even_size_non_array(): > y = colfilter(mandrill.tolist(), (-1,1)) tests/test_colfilter.py:49: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:65: in colfilter X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _______________________________ test_odd_filter ________________________________ def test_odd_filter(): with raises(ValueError): > colifilt(mandrill, (-1,2,-1), (-1,2,1)) tests/test_colifilt.py:22: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:184: in colifilt X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ____________________________ test_different_size_h _____________________________ def test_different_size_h(): with raises(ValueError): > colifilt(mandrill, (-1,2,1), (-0.5,-1,2,-1,0.5)) tests/test_colifilt.py:26: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:184: in colifilt X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _______________________________ test_zero_input ________________________________ def test_zero_input(): > Y = colifilt(np.zeros_like(mandrill), (-1,1), (1,-1)) tests/test_colifilt.py:29: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:184: in colifilt X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _____________________________ test_bad_input_size ______________________________ def test_bad_input_size(): with raises(ValueError): > colifilt(mandrill[:511,:], (-1,1), (1,-1)) tests/test_colifilt.py:34: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:184: in colifilt X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _____________________________ test_good_input_size _____________________________ def test_good_input_size(): > colifilt(mandrill[:,:511], (-1,1), (1,-1)) tests/test_colifilt.py:37: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:184: in colifilt X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _______________________________ test_output_size _______________________________ def test_output_size(): > Y = colifilt(mandrill, (-1,1), (1,-1)) tests/test_colifilt.py:40: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:184: in colifilt X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError __________________________ test_non_orthogonal_input ___________________________ def test_non_orthogonal_input(): > Y = colifilt(mandrill, (1,1), (1,1)) tests/test_colifilt.py:44: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:184: in colifilt X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _________________________ test_output_size_non_mult_4 __________________________ def test_output_size_non_mult_4(): > Y = colifilt(mandrill, (-1,0,0,1), (1,0,0,-1)) tests/test_colifilt.py:48: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:184: in colifilt X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _____________________ test_non_orthogonal_input_non_mult_4 _____________________ def test_non_orthogonal_input_non_mult_4(): > Y = colifilt(mandrill, (1,0,0,1), (1,0,0,1)) tests/test_colifilt.py:52: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/lowlevel.py:184: in colifilt X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _______________________________ test_reconstruct _______________________________ def test_reconstruct(): # Reconstruction up to tolerance vec = np.random.rand(630) > Yl, Yh = dtwavexfm(vec) tests/test_ifm1.py:12: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:63: in dtwavexfm res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform1d.py:51: in forward X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _____________________________ test_reconstruct_2d ______________________________ def test_reconstruct_2d(): # Reconstruction up to tolerance vec = np.random.rand(630, 20) > Yl, Yh = dtwavexfm(vec) tests/test_ifm1.py:19: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:63: in dtwavexfm res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform1d.py:51: in forward X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ______________________________ test_float32_input ______________________________ def test_float32_input(): # Check that an float32 input is correctly output as float32 > Yl, Yh = dtwavexfm(np.array([1, 2, 3, 4]).astype(np.float32)) tests/test_ifm1.py:25: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:63: in dtwavexfm res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform1d.py:51: in forward X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _______________________________ test_reconstruct _______________________________ def test_reconstruct(): # Reconstruction up to tolerance > Yl, Yh = dtwavexfm2(mandrill) tests/test_ifm2.py:23: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ____________________________ test_reconstruct_crop _____________________________ def test_reconstruct_crop(): # Reconstruction up to tolerance > Yl_crop, Yh_crop = dtwavexfm2(mandrill_crop) tests/test_ifm2.py:29: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ________________________ test_reconstruct_custom_filter ________________________ def test_reconstruct_custom_filter(): # Reconstruction up to tolerance > Yl, Yh = dtwavexfm2(mandrill, 4, biort('legall'), qshift('qshift_06')) tests/test_ifm2.py:35: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ______________________________ test_float32_input ______________________________ def test_float32_input(): # Check that an float32 input is correctly output as float32 > Yl, Yh = dtwavexfm2(mandrill.astype(np.float32)) tests/test_ifm2.py:41: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _______________________________ test_estimatereg _______________________________ def test_estimatereg(): nlevels = 6 trans = Transform2d() > t1 = trans.forward(f1, nlevels=nlevels) tests/test_registration.py:29: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ________________________ test_complex_type_for_complex _________________________ def test_complex_type_for_complex(): > assert np.issubsctype(appropriate_complex_type_for(np.zeros((2,3), np.complex64)), np.complex64) tests/test_utils.py:8: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'issubsctype' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.issubsctype` was removed in the NumPy 2.0 release. Use `np.issubdtype` instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _________________________ test_complex_type_for_float __________________________ def test_complex_type_for_float(): > assert np.issubsctype(appropriate_complex_type_for(np.zeros((2,3), np.float32)), np.complex64) tests/test_utils.py:12: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'issubsctype' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.issubsctype` was removed in the NumPy 2.0 release. Use `np.issubdtype` instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _________________________________ test_simple __________________________________ def test_simple(): vec = np.random.rand(630) > Yl, Yh = dtwavexfm(vec, 3) tests/test_xfm1.py:12: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:63: in dtwavexfm res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform1d.py:51: in forward X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError __________________________ test_simple_with_no_levels __________________________ def test_simple_with_no_levels(): vec = np.random.rand(630) > Yl, Yh = dtwavexfm(vec, 0) tests/test_xfm1.py:17: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:63: in dtwavexfm res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform1d.py:51: in forward X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ____________________________ test_simple_with_scale ____________________________ def test_simple_with_scale(): vec = np.random.rand(630) > Yl, Yh, Yscale = dtwavexfm(vec, 3, include_scale=True) tests/test_xfm1.py:22: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:63: in dtwavexfm res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform1d.py:51: in forward X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _____________________ test_simple_with_scale_and_no_levels _____________________ def test_simple_with_scale_and_no_levels(): vec = np.random.rand(630) > Yl, Yh, Yscale = dtwavexfm(vec, 0, include_scale=True) tests/test_xfm1.py:28: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:63: in dtwavexfm res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform1d.py:51: in forward X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ______________________________ test_perfect_recon ______________________________ def test_perfect_recon(): vec = np.random.rand(630) > Yl, Yh = dtwavexfm(vec) tests/test_xfm1.py:34: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:63: in dtwavexfm res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform1d.py:51: in forward X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError __________________________ test_simple_custom_filter ___________________________ def test_simple_custom_filter(): vec = np.random.rand(630) > Yl, Yh = dtwavexfm(vec, 4, biort('legall'), qshift('qshift_06')) tests/test_xfm1.py:40: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:63: in dtwavexfm res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform1d.py:51: in forward X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ______________________________ test_single_level _______________________________ def test_single_level(): vec = np.random.rand(630) > Yl, Yh = dtwavexfm(vec, 1) tests/test_xfm1.py:46: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:63: in dtwavexfm res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform1d.py:51: in forward X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ___________________________ test_non_multiple_of_two ___________________________ def test_non_multiple_of_two(): vec = np.random.rand(631) with raises(ValueError): > Yl, Yh = dtwavexfm(vec, 1) tests/test_xfm1.py:51: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:63: in dtwavexfm res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform1d.py:51: in forward X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ___________________________________ test_2d ____________________________________ def test_2d(): > Yl, Yh = dtwavexfm(np.random.rand(10,10)) tests/test_xfm1.py:54: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:63: in dtwavexfm res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform1d.py:51: in forward X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ______________________________ test_integer_input ______________________________ def test_integer_input(): # Check that an integer input is correctly coerced into a floating point # array > Yl, Yh = dtwavexfm([1,2,3,4]) tests/test_xfm1.py:59: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:63: in dtwavexfm res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform1d.py:51: in forward X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError __________________________ test_integer_perfect_recon __________________________ def test_integer_perfect_recon(): # Check that an integer input is correctly coerced into a floating point # array and reconstructed A = np.array([1,2,3,4], dtype=np.int32) > Yl, Yh = dtwavexfm(A) tests/test_xfm1.py:66: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:63: in dtwavexfm res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform1d.py:51: in forward X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ______________________________ test_float32_input ______________________________ def test_float32_input(): # Check that an float32 input is correctly output as float32 > Yl, Yh = dtwavexfm(np.array([1,2,3,4]).astype(np.float32)) tests/test_xfm1.py:72: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:63: in dtwavexfm res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform1d.py:51: in forward X = asfarray(X) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _________________________________ test_simple __________________________________ def test_simple(): > Yl, Yh = dtwavexfm2(mandrill) tests/test_xfm2.py:22: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ____________________________ test_specific_wavelet _____________________________ def test_specific_wavelet(): > Yl, Yh = dtwavexfm2(mandrill, biort=biort('antonini'), qshift=qshift('qshift_06')) tests/test_xfm2.py:25: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ___________________________________ test_1d ____________________________________ def test_1d(): > Yl, Yh = dtwavexfm2(mandrill[0,:]) tests/test_xfm2.py:28: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ___________________________________ test_3d ____________________________________ def test_3d(): with raises(ValueError): > Yl, Yh = dtwavexfm2(np.dstack((mandrill, mandrill))) tests/test_xfm2.py:32: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _____________________________ test_simple_w_scale ______________________________ def test_simple_w_scale(): > Yl, Yh, Yscale = dtwavexfm2(mandrill, include_scale=True) tests/test_xfm2.py:35: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ________________________________ test_odd_rows _________________________________ def test_odd_rows(): > Yl, Yh = dtwavexfm2(mandrill[:509,:]) tests/test_xfm2.py:42: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ____________________________ test_odd_rows_w_scale _____________________________ def test_odd_rows_w_scale(): > Yl, Yh, Yscale = dtwavexfm2(mandrill[:509,:], include_scale=True) tests/test_xfm2.py:45: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ________________________________ test_odd_cols _________________________________ def test_odd_cols(): > Yl, Yh = dtwavexfm2(mandrill[:,:509]) tests/test_xfm2.py:48: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ____________________________ test_odd_cols_w_scale _____________________________ def test_odd_cols_w_scale(): > Yl, Yh, Yscale = dtwavexfm2(mandrill[:509,:509], include_scale=True) tests/test_xfm2.py:51: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ____________________________ test_odd_rows_and_cols ____________________________ def test_odd_rows_and_cols(): > Yl, Yh = dtwavexfm2(mandrill[:,:509]) tests/test_xfm2.py:54: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ________________________ test_odd_rows_and_cols_w_scale ________________________ def test_odd_rows_and_cols_w_scale(): > Yl, Yh, Yscale = dtwavexfm2(mandrill[:509,:509], include_scale=True) tests/test_xfm2.py:57: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ____________________________ test_rot_symm_modified ____________________________ def test_rot_symm_modified(): # This test only checks there is no error running these functions, not that they work > Yl, Yh, Yscale = dtwavexfm2(mandrill, biort='near_sym_b_bp', qshift='qshift_b_bp', include_scale=True) tests/test_xfm2.py:61: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ________________________________ test_0_levels _________________________________ def test_0_levels(): > Yl, Yh = dtwavexfm2(mandrill, nlevels=0) tests/test_xfm2.py:65: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ____________________________ test_0_levels_w_scale _____________________________ def test_0_levels_w_scale(): > Yl, Yh, Yscale = dtwavexfm2(mandrill, nlevels=0, include_scale=True) tests/test_xfm2.py:70: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ______________________________ test_integer_input ______________________________ def test_integer_input(): # Check that an integer input is correctly coerced into a floating point # array > Yl, Yh = dtwavexfm2([[1,2,3,4], [1,2,3,4]]) tests/test_xfm2.py:78: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError __________________________ test_integer_perfect_recon __________________________ def test_integer_perfect_recon(): # Check that an integer input is correctly coerced into a floating point # array and reconstructed A = np.array([[1,2,3,4], [5,6,7,8]], dtype=np.int32) > Yl, Yh = dtwavexfm2(A) tests/test_xfm2.py:85: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ______________________________ test_float32_input ______________________________ def test_float32_input(): # Check that an float32 input is correctly output as float32 > Yl, Yh = dtwavexfm2(mandrill.astype(np.float32)) tests/test_xfm2.py:91: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:138: in dtwavexfm2 res = trans.forward(X, nlevels, include_scale) dtcwt/numpy/transform2d.py:73: in forward X = np.atleast_2d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ___________________________ test_simple_level_1_xfm ____________________________ def test_simple_level_1_xfm(): # Just tests that the transform broadly works and gives expected size output > Yl, Yh = dtwavexfm3(ellipsoid, 1) tests/test_xfm3.py:31: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError __________________________ test_simple_level_1_recon ___________________________ def test_simple_level_1_recon(): # Test for perfect reconstruction with 1 level > Yl, Yh = dtwavexfm3(ellipsoid, 1) tests/test_xfm3.py:37: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ________________________ test_simple_level_1_recon_haar ________________________ def test_simple_level_1_recon_haar(): # Test for perfect reconstruction with 1 level and Haar wavelets # Form Haar wavelets h0 = np.array((1.0, 1.0)) g0 = h0 h0 = h0 / np.sum(h0) g0 = g0 / np.sum(g0) h1 = g0 * np.cumprod(-np.ones_like(g0)) g1 = -h0 * np.cumprod(-np.ones_like(h0)) haar = (h0, g0, h1, g1) > Yl, Yh = dtwavexfm3(ellipsoid, 1, biort=haar) tests/test_xfm3.py:55: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ___________________________ test_simple_level_2_xfm ____________________________ def test_simple_level_2_xfm(): # Just tests that the transform broadly works and gives expected size output > Yl, Yh = dtwavexfm3(ellipsoid, 2) tests/test_xfm3.py:62: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError __________________________ test_simple_level_2_recon ___________________________ def test_simple_level_2_recon(): # Test for perfect reconstruction with 2 levels > Yl, Yh = dtwavexfm3(ellipsoid, 2) tests/test_xfm3.py:68: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ___________________________ test_simple_level_4_xfm ____________________________ def test_simple_level_4_xfm(): # Just tests that the transform broadly works and gives expected size output > Yl, Yh = dtwavexfm3(ellipsoid, 4) tests/test_xfm3.py:75: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError __________________________ test_simple_level_4_recon ___________________________ def test_simple_level_4_recon(): # Test for perfect reconstruction with 3 levels > Yl, Yh = dtwavexfm3(ellipsoid, 4) tests/test_xfm3.py:81: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError __________________ test_simple_level_4_recon_custom_wavelets ___________________ def test_simple_level_4_recon_custom_wavelets(): # Test for perfect reconstruction with 3 levels b = biort('legall') q = qshift('qshift_06') > Yl, Yh = dtwavexfm3(ellipsoid, 4, biort=b, qshift=q) tests/test_xfm3.py:90: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ______________________ test_simple_level_4_xfm_ext_mode_8 ______________________ def test_simple_level_4_xfm_ext_mode_8(): # Just tests that the transform broadly works and gives expected size output crop_ellipsoid = ellipsoid[:62,:58,:54] > Yl, Yh = dtwavexfm3(crop_ellipsoid, 4, ext_mode=8) tests/test_xfm3.py:98: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _____________________ test_simple_level_4_recon_ext_mode_8 _____________________ def test_simple_level_4_recon_ext_mode_8(): # Test for perfect reconstruction with 3 levels crop_ellipsoid = ellipsoid[:62,:58,:54] > Yl, Yh = dtwavexfm3(crop_ellipsoid, 4, ext_mode=8) tests/test_xfm3.py:104: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ______________________ test_simple_level_4_xfm_ext_mode_4 ______________________ def test_simple_level_4_xfm_ext_mode_4(): # Just tests that the transform broadly works and gives expected size output crop_ellipsoid = ellipsoid[:62,:54,:58] > Yl, Yh = dtwavexfm3(crop_ellipsoid, 4, ext_mode=4) tests/test_xfm3.py:112: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _____________________ test_simple_level_4_recon_ext_mode_4 _____________________ def test_simple_level_4_recon_ext_mode_4(): # Test for perfect reconstruction with 3 levels crop_ellipsoid = ellipsoid[:62,:54,:58] > Yl, Yh = dtwavexfm3(crop_ellipsoid, 4, ext_mode=4) tests/test_xfm3.py:118: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ______________________________ test_integer_input ______________________________ def test_integer_input(): # Check that an integer input is correctly coerced into a floating point # array > Yl, Yh = dtwavexfm3(np.ones((4,4,4), dtype=np.int32)) tests/test_xfm3.py:126: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError __________________________ test_integer_perfect_recon __________________________ def test_integer_perfect_recon(): # Check that an integer input is correctly coerced into a floating point # array and reconstructed A = (np.random.random((4,4,4)) * 5).astype(np.int32) > Yl, Yh = dtwavexfm3(A) tests/test_xfm3.py:133: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ______________________________ test_float32_input ______________________________ def test_float32_input(): # Check that an float32 input is correctly output as float32 > Yl, Yh = dtwavexfm3(ellipsoid.astype(np.float32)) tests/test_xfm3.py:139: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ______________________________ test_float32_recon ______________________________ def test_float32_recon(): # Check that an float32 input is correctly output as float32 > Yl, Yh = dtwavexfm3(ellipsoid.astype(np.float32)) tests/test_xfm3.py:145: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError ____________________ test_level_4_recon_discarding_level_1 _____________________ def test_level_4_recon_discarding_level_1(): # Test for non-perfect but reasonable reconstruction > Yl, Yh = dtwavexfm3(ellipsoid, 4, discard_level_1=True) tests/test_xfm3.py:154: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError _______________________ test_level_4_discarding_level_1 ________________________ def test_level_4_discarding_level_1(): # Test that level >= 2 highpasses are identical > Yl1, Yh1 = dtwavexfm3(ellipsoid, 4, discard_level_1=True) tests/test_xfm3.py:163: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ dtcwt/compat.py:241: in dtwavexfm3 res = trans.forward(X, nlevels, include_scale, discard_level_1) dtcwt/numpy/transform3d.py:82: in forward X = np.atleast_3d(asfarray(X)) dtcwt/utils.py:105: in asfarray return np.asfarray(X, dtype=X.dtype) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ attr = 'asfarray' def __getattr__(attr): # Warn for expired attributes import warnings if attr == "linalg": import numpy.linalg as linalg return linalg elif attr == "fft": import numpy.fft as fft return fft elif attr == "dtypes": import numpy.dtypes as dtypes return dtypes elif attr == "random": import numpy.random as random return random elif attr == "polynomial": import numpy.polynomial as polynomial return polynomial elif attr == "ma": import numpy.ma as ma return ma elif attr == "ctypeslib": import numpy.ctypeslib as ctypeslib return ctypeslib elif attr == "exceptions": import numpy.exceptions as exceptions return exceptions elif attr == "testing": import numpy.testing as testing return testing elif attr == "matlib": import numpy.matlib as matlib return matlib elif attr == "f2py": import numpy.f2py as f2py return f2py elif attr == "typing": import numpy.typing as typing return typing elif attr == "rec": import numpy.rec as rec return rec elif attr == "char": import numpy.char as char return char elif attr == "array_api": raise AttributeError("`numpy.array_api` is not available from " "numpy 2.0 onwards", name=None) elif attr == "core": import numpy.core as core return core elif attr == "strings": import numpy.strings as strings return strings elif attr == "distutils": if 'distutils' in __numpy_submodules__: import numpy.distutils as distutils return distutils else: raise AttributeError("`numpy.distutils` is not available from " "Python 3.12 onwards", name=None) if attr in __future_scalars__: # And future warnings for those that will change, but also give # the AttributeError warnings.warn( f"In the future `np.{attr}` will be defined as the " "corresponding NumPy scalar.", FutureWarning, stacklevel=2) if attr in __former_attrs__: raise AttributeError(__former_attrs__[attr], name=None) if attr in __expired_attributes__: > raise AttributeError( f"`np.{attr}` was removed in the NumPy 2.0 release. " f"{__expired_attributes__[attr]}", name=None ) E AttributeError: `np.asfarray` was removed in the NumPy 2.0 release. Use `np.asarray` with a proper dtype instead. /usr/lib/python3/dist-packages/numpy/__init__.py:400: AttributeError =========================== short test summary info ============================ FAILED tests/test_againstmatlab.py::test_coldfilt - AttributeError: `np.asfar... FAILED tests/test_againstmatlab.py::test_dtwavexfm2 - AttributeError: `np.asf... FAILED tests/test_againstmatlab.py::test_dtwavexfm2b - AttributeError: `np.as... FAILED tests/test_againstmatlab.py::test_rescale_highpass - AttributeError: `... FAILED tests/test_againstmatlab.py::test_transform3d_numpy - AttributeError: ... FAILED tests/test_coldfilt.py::test_odd_filter - AttributeError: `np.asfarray... FAILED tests/test_coldfilt.py::test_different_size - AttributeError: `np.asfa... FAILED tests/test_coldfilt.py::test_bad_input_size - AttributeError: `np.asfa... FAILED tests/test_coldfilt.py::test_good_input_size - AttributeError: `np.asf... FAILED tests/test_coldfilt.py::test_good_input_size_non_orthogonal - Attribut... FAILED tests/test_coldfilt.py::test_output_size - AttributeError: `np.asfarra... FAILED tests/test_colfilter.py::test_odd_size - AttributeError: `np.asfarray`... FAILED tests/test_colfilter.py::test_even_size - AttributeError: `np.asfarray... FAILED tests/test_colfilter.py::test_qshift - AttributeError: `np.asfarray` w... FAILED tests/test_colfilter.py::test_biort - AttributeError: `np.asfarray` wa... FAILED tests/test_colfilter.py::test_odd_size_non_array - AttributeError: `np... FAILED tests/test_colfilter.py::test_even_size_non_array - AttributeError: `n... FAILED tests/test_colifilt.py::test_odd_filter - AttributeError: `np.asfarray... FAILED tests/test_colifilt.py::test_different_size_h - AttributeError: `np.as... FAILED tests/test_colifilt.py::test_zero_input - AttributeError: `np.asfarray... FAILED tests/test_colifilt.py::test_bad_input_size - AttributeError: `np.asfa... FAILED tests/test_colifilt.py::test_good_input_size - AttributeError: `np.asf... FAILED tests/test_colifilt.py::test_output_size - AttributeError: `np.asfarra... FAILED tests/test_colifilt.py::test_non_orthogonal_input - AttributeError: `n... FAILED tests/test_colifilt.py::test_output_size_non_mult_4 - AttributeError: ... FAILED tests/test_colifilt.py::test_non_orthogonal_input_non_mult_4 - Attribu... FAILED tests/test_ifm1.py::test_reconstruct - AttributeError: `np.asfarray` w... FAILED tests/test_ifm1.py::test_reconstruct_2d - AttributeError: `np.asfarray... FAILED tests/test_ifm1.py::test_float32_input - AttributeError: `np.asfarray`... FAILED tests/test_ifm2.py::test_reconstruct - AttributeError: `np.asfarray` w... FAILED tests/test_ifm2.py::test_reconstruct_crop - AttributeError: `np.asfarr... FAILED tests/test_ifm2.py::test_reconstruct_custom_filter - AttributeError: `... FAILED tests/test_ifm2.py::test_float32_input - AttributeError: `np.asfarray`... FAILED tests/test_registration.py::test_estimatereg - AttributeError: `np.asf... FAILED tests/test_utils.py::test_complex_type_for_complex - AttributeError: `... FAILED tests/test_utils.py::test_complex_type_for_float - AttributeError: `np... FAILED tests/test_xfm1.py::test_simple - AttributeError: `np.asfarray` was re... FAILED tests/test_xfm1.py::test_simple_with_no_levels - AttributeError: `np.a... FAILED tests/test_xfm1.py::test_simple_with_scale - AttributeError: `np.asfar... FAILED tests/test_xfm1.py::test_simple_with_scale_and_no_levels - AttributeEr... FAILED tests/test_xfm1.py::test_perfect_recon - AttributeError: `np.asfarray`... FAILED tests/test_xfm1.py::test_simple_custom_filter - AttributeError: `np.as... FAILED tests/test_xfm1.py::test_single_level - AttributeError: `np.asfarray` ... FAILED tests/test_xfm1.py::test_non_multiple_of_two - AttributeError: `np.asf... FAILED tests/test_xfm1.py::test_2d - AttributeError: `np.asfarray` was remove... FAILED tests/test_xfm1.py::test_integer_input - AttributeError: `np.asfarray`... FAILED tests/test_xfm1.py::test_integer_perfect_recon - AttributeError: `np.a... FAILED tests/test_xfm1.py::test_float32_input - AttributeError: `np.asfarray`... FAILED tests/test_xfm2.py::test_simple - AttributeError: `np.asfarray` was re... FAILED tests/test_xfm2.py::test_specific_wavelet - AttributeError: `np.asfarr... FAILED tests/test_xfm2.py::test_1d - AttributeError: `np.asfarray` was remove... FAILED tests/test_xfm2.py::test_3d - AttributeError: `np.asfarray` was remove... FAILED tests/test_xfm2.py::test_simple_w_scale - AttributeError: `np.asfarray... FAILED tests/test_xfm2.py::test_odd_rows - AttributeError: `np.asfarray` was ... FAILED tests/test_xfm2.py::test_odd_rows_w_scale - AttributeError: `np.asfarr... FAILED tests/test_xfm2.py::test_odd_cols - AttributeError: `np.asfarray` was ... FAILED tests/test_xfm2.py::test_odd_cols_w_scale - AttributeError: `np.asfarr... FAILED tests/test_xfm2.py::test_odd_rows_and_cols - AttributeError: `np.asfar... FAILED tests/test_xfm2.py::test_odd_rows_and_cols_w_scale - AttributeError: `... FAILED tests/test_xfm2.py::test_rot_symm_modified - AttributeError: `np.asfar... FAILED tests/test_xfm2.py::test_0_levels - AttributeError: `np.asfarray` was ... FAILED tests/test_xfm2.py::test_0_levels_w_scale - AttributeError: `np.asfarr... FAILED tests/test_xfm2.py::test_integer_input - AttributeError: `np.asfarray`... FAILED tests/test_xfm2.py::test_integer_perfect_recon - AttributeError: `np.a... FAILED tests/test_xfm2.py::test_float32_input - AttributeError: `np.asfarray`... FAILED tests/test_xfm3.py::test_simple_level_1_xfm - AttributeError: `np.asfa... FAILED tests/test_xfm3.py::test_simple_level_1_recon - AttributeError: `np.as... FAILED tests/test_xfm3.py::test_simple_level_1_recon_haar - AttributeError: `... FAILED tests/test_xfm3.py::test_simple_level_2_xfm - AttributeError: `np.asfa... FAILED tests/test_xfm3.py::test_simple_level_2_recon - AttributeError: `np.as... FAILED tests/test_xfm3.py::test_simple_level_4_xfm - AttributeError: `np.asfa... FAILED tests/test_xfm3.py::test_simple_level_4_recon - AttributeError: `np.as... FAILED tests/test_xfm3.py::test_simple_level_4_recon_custom_wavelets - Attrib... FAILED tests/test_xfm3.py::test_simple_level_4_xfm_ext_mode_8 - AttributeErro... FAILED tests/test_xfm3.py::test_simple_level_4_recon_ext_mode_8 - AttributeEr... FAILED tests/test_xfm3.py::test_simple_level_4_xfm_ext_mode_4 - AttributeErro... FAILED tests/test_xfm3.py::test_simple_level_4_recon_ext_mode_4 - AttributeEr... FAILED tests/test_xfm3.py::test_integer_input - AttributeError: `np.asfarray`... FAILED tests/test_xfm3.py::test_integer_perfect_recon - AttributeError: `np.a... FAILED tests/test_xfm3.py::test_float32_input - AttributeError: `np.asfarray`... FAILED tests/test_xfm3.py::test_float32_recon - AttributeError: `np.asfarray`... FAILED tests/test_xfm3.py::test_level_4_recon_discarding_level_1 - AttributeE... FAILED tests/test_xfm3.py::test_level_4_discarding_level_1 - AttributeError: ... ================== 83 failed, 42 passed, 214 skipped in 3.70s ================== E: pybuild pybuild:389: test: plugin distutils failed with: exit code=1: cd /build/reproducible-path/python-dtcwt-0.14.0/.pybuild/cpython3_3.13_dtcwt/build; python3.13 -m pytest tests dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p 3.13 returned exit code 13 make: *** [debian/rules:12: binary] Error 25 dpkg-buildpackage: error: debian/rules binary subprocess returned exit status 2 I: copying local configuration E: Failed autobuilding of package 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/131023 and its subdirectories