Running as unit: rb-build-amd64_35-35800.service ==================================================================================== Tue Nov 26 01:03:40 UTC 2024 - running /srv/jenkins/bin/reproducible_build.sh (for job reproducible_builder_amd64_35) on jenkins, called using "infom01-amd64 infom02-amd64" as arguments. Tue Nov 26 01:03:40 UTC 2024 - actually running "reproducible_build.sh" (md5sum 68e686e434c9ab7bc3ec047d8b309cbc) as "/tmp/jenkins-script-CrqqYyHe" $ git clone https://salsa.debian.org/qa/jenkins.debian.net.git ; more CONTRIBUTING Tue Nov 26 01:03:40 UTC 2024 - checking /var/lib/jenkins/offline_nodes if infom01-amd64.debian.net is marked as down. Tue Nov 26 01:03:40 UTC 2024 - checking via ssh if infom01-amd64.debian.net is up. removed '/tmp/read-only-fs-test-ljai0y' Tue Nov 26 01:03:41 UTC 2024 - checking /var/lib/jenkins/offline_nodes if infom02-amd64.debian.net is marked as down. Tue Nov 26 01:03:41 UTC 2024 - checking via ssh if infom02-amd64.debian.net is up. removed '/tmp/read-only-fs-test-mrUuvI' ok, let's check if octave-stk is building anywhere yet… ok, octave-stk is not building anywhere… UPDATE 1 ============================================================================= Initialising reproducibly build of octave-stk in trixie on amd64 on jenkins now. 1st build will be done on infom01-amd64.debian.net. 2nd build will be done on infom02-amd64.debian.net. ============================================================================= Tue Nov 26 01:03:59 UTC 2024 I: starting to build octave-stk/trixie/amd64 on jenkins on '2024-11-26 01:03' Tue Nov 26 01:03:59 UTC 2024 I: The jenkins build log is/was available at https://jenkins.debian.net/userContent/reproducible/debian/build_service/amd64_35/35800/console.log 1732583039 amd64 trixie octave-stk Tue Nov 26 01:03:59 UTC 2024 I: Downloading source for trixie/octave-stk=2.8.1-3 --2024-11-26 01:03:59-- http://deb.debian.org/debian/pool/main/o/octave-stk/octave-stk_2.8.1-3.dsc Connecting to 46.16.76.132:3128... connected. Proxy request sent, awaiting response... 200 OK Length: 2149 (2.1K) [text/prs.lines.tag] Saving to: ‘octave-stk_2.8.1-3.dsc’ 0K .. 100% 244M=0s 2024-11-26 01:03:59 (244 MB/s) - ‘octave-stk_2.8.1-3.dsc’ saved [2149/2149] --2024-11-26 01:03:59-- http://deb.debian.org/debian/pool/main/o/octave-stk/octave-stk_2.8.1-3.dsc Connecting to 46.16.76.132:3128... connected. Proxy request sent, awaiting response... 200 OK Length: 2149 (2.1K) [text/prs.lines.tag] Saving to: ‘octave-stk_2.8.1-3.dsc’ 0K .. 100% 244M=0s 2024-11-26 01:03:59 (244 MB/s) - ‘octave-stk_2.8.1-3.dsc’ saved [2149/2149] Tue Nov 26 01:04:00 UTC 2024 I: octave-stk_2.8.1-3.dsc -----BEGIN PGP SIGNED MESSAGE----- Hash: SHA256 Format: 3.0 (quilt) Source: octave-stk Binary: octave-stk Architecture: any Version: 2.8.1-3 Maintainer: Debian Octave Group Uploaders: Julien Bect , Homepage: https://gnu-octave.github.io/packages/stk/ Standards-Version: 4.6.2 Vcs-Browser: https://salsa.debian.org/pkg-octave-team/octave-stk Vcs-Git: https://salsa.debian.org/pkg-octave-team/octave-stk.git Testsuite: autopkgtest-pkg-octave Build-Depends: debhelper-compat (= 13), dh-sequence-octave Package-List: octave-stk deb math optional arch=any Checksums-Sha1: 125dcf45346c408222cdcc60cd5f257b544dbe53 389336 octave-stk_2.8.1.orig.tar.gz b24c1cd3bc417ed8f50a3fc75390d7483f298218 4988 octave-stk_2.8.1-3.debian.tar.xz Checksums-Sha256: c138ccf4b51c0bc0448f74cdc40cfcefb2ea26fba8c5652c7bd3c86685869c85 389336 octave-stk_2.8.1.orig.tar.gz 6d3f6dbcb0a729b5483b06befedeee4e4d26c2e4c0d44b9d01c8327e84dd322c 4988 octave-stk_2.8.1-3.debian.tar.xz Files: f91cd81d748373ded935166f88667e4a 389336 octave-stk_2.8.1.orig.tar.gz 009905eaea8b712834f49af1ab04fd32 4988 octave-stk_2.8.1-3.debian.tar.xz Dgit: 07f40a2f7120b34fd39cf6d3244bb30452668ea6 debian archive/debian/2.8.1-3 https://git.dgit.debian.org/octave-stk -----BEGIN PGP SIGNATURE----- iQJGBAEBCAAwFiEEP0ZDkUmP6HS9tdmPISSqGYN4XJAFAmZzFOkSHHJhZmFlbEBk ZWJpYW4ub3JnAAoJECEkqhmDeFyQtzsQAJW23XuHUh90zIpOeBnT0LOcOb//i3ID DItt+d0B/3RwodmWvfJIFWrZkGXa/xToSZ3Kaa68qc+jMPuQ4Tu5fAHx9GdC7Egj ICT7KfRVdQc3UMAkfA2oO8RaGK3qCZF8CR7gP7cg6U1zkAi/Ea94APJWYgHZJ29Z /pDJLPC2IGUAWcrfPsxRWxGqnPVV0gzTqsfeoaLnpNjIonH012rOy+EqsQDj0kIE mt5dDSDJJ6XO/cqc8GWk+7/25oJOKimLSZm2g4j0metf3Hx0O08/7cMiB0OR7iHb XVPVYfo+hYOtLqBxuq9awGKrXHxXSMiHfF2lQOzpP2bzGe6GS0iy8kx9pzhH8+9+ e08H0Ptqij8BjyD/VqczoL9SRqvB7Reet+q5II/1gW6Q0u/bGPfNXKpMx8UW0Hk4 iab8oAhKE6ZjwO9s2MbJZBBId8q+LUl2BXzqutrwcDgcSdfABi7I9IlK/a3wnIUA AqP9fFnvWDGdYlanGTUHPQqMC7FCXrloQH1ds64LFnxPb/KGEa7KxONdjuCnYH8z qJuQ/MeLubs2nJ2Yl8wl7ybNnphaCpArgDrrbU0i1fAYuZ2FvUiQafHZrzT9ddXX PuH0xGOp9jnmGiJAdTXZA/RVjy1AOLpPfac2Vzb555/0e7IvSdNuC08hK62gqFaI TXh+A/hKbXPq =UjVF -----END PGP SIGNATURE----- Tue Nov 26 01:04:00 UTC 2024 I: Checking whether the package is not for us Tue Nov 26 01:04:00 UTC 2024 I: Starting 1st build on remote node infom01-amd64.debian.net. Tue Nov 26 01:04:00 UTC 2024 I: Preparing to do remote build '1' on infom01-amd64.debian.net. Tue Nov 26 01:04:00 UTC 2024 - checking /var/lib/jenkins/offline_nodes if infom01-amd64.debian.net is marked as down. Tue Nov 26 01:04:00 UTC 2024 - checking via ssh if infom01-amd64.debian.net is up. removed '/tmp/read-only-fs-test-R7EZ5C' ==================================================================================== Tue Nov 26 01:04:01 UTC 2024 - running /srv/jenkins/bin/reproducible_build.sh (for job /srv/jenkins/bin/reproducible_build.sh) on infom01-amd64, called using "1 octave-stk trixie /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7 2.8.1-3" as arguments. Tue Nov 26 01:04:01 UTC 2024 - actually running "reproducible_build.sh" (md5sum 68e686e434c9ab7bc3ec047d8b309cbc) as "/tmp/jenkins-script-xdNF4cK7" $ git clone https://salsa.debian.org/qa/jenkins.debian.net.git ; more CONTRIBUTING Tue Nov 26 01:04:01 UTC 2024 I: Downloading source for trixie/octave-stk=2.8.1-3 Reading package lists... NOTICE: 'octave-stk' packaging is maintained in the 'Git' version control system at: https://salsa.debian.org/pkg-octave-team/octave-stk.git Please use: git clone https://salsa.debian.org/pkg-octave-team/octave-stk.git to retrieve the latest (possibly unreleased) updates to the package. Need to get 396 kB of source archives. Get:1 http://deb.debian.org/debian trixie/main octave-stk 2.8.1-3 (dsc) [2149 B] Get:2 http://deb.debian.org/debian trixie/main octave-stk 2.8.1-3 (tar) [389 kB] Get:3 http://deb.debian.org/debian trixie/main octave-stk 2.8.1-3 (diff) [4988 B] Fetched 396 kB in 0s (1893 kB/s) Download complete and in download only mode Reading package lists... NOTICE: 'octave-stk' packaging is maintained in the 'Git' version control system at: https://salsa.debian.org/pkg-octave-team/octave-stk.git Please use: git clone https://salsa.debian.org/pkg-octave-team/octave-stk.git to retrieve the latest (possibly unreleased) updates to the package. Need to get 396 kB of source archives. Get:1 http://deb.debian.org/debian trixie/main octave-stk 2.8.1-3 (dsc) [2149 B] Get:2 http://deb.debian.org/debian trixie/main octave-stk 2.8.1-3 (tar) [389 kB] Get:3 http://deb.debian.org/debian trixie/main octave-stk 2.8.1-3 (diff) [4988 B] Fetched 396 kB in 0s (1893 kB/s) Download complete and in download only mode ============================================================================= Building octave-stk in trixie on amd64 on infom01-amd64 now. Date: Tue Nov 26 01:04:01 UTC 2024 Date UTC: Tue Nov 26 01:04:01 UTC 2024 ============================================================================= W: /root/.pbuilderrc does not exist I: Logging to b1/build.log I: pbuilder: network access will be disabled during build I: Current time: Mon Nov 25 13:04:01 -12 2024 I: pbuilder-time-stamp: 1732583041 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/trixie-reproducible-base.tgz] I: copying local configuration W: --override-config is not set; not updating apt.conf Read the manpage for details. I: mounting /proc filesystem I: mounting /sys filesystem I: creating /{dev,run}/shm I: mounting /dev/pts filesystem I: redirecting /dev/ptmx to /dev/pts/ptmx I: policy-rc.d already exists I: Copying source file I: copying [octave-stk_2.8.1-3.dsc] I: copying [./octave-stk_2.8.1.orig.tar.gz] I: copying [./octave-stk_2.8.1-3.debian.tar.xz] I: Extracting source gpgv: Signature made Wed Jun 19 17:27:05 2024 gpgv: using RSA key 3F464391498FE874BDB5D98F2124AA1983785C90 gpgv: issuer "rafael@debian.org" gpgv: Can't check signature: No public key dpkg-source: warning: cannot verify inline signature for ./octave-stk_2.8.1-3.dsc: no acceptable signature found dpkg-source: info: extracting octave-stk in octave-stk-2.8.1 dpkg-source: info: unpacking octave-stk_2.8.1.orig.tar.gz dpkg-source: info: unpacking octave-stk_2.8.1-3.debian.tar.xz dpkg-source: info: using patch list from debian/patches/series dpkg-source: info: applying 0003-Mark-expected-failure.patch I: Not using root during the build. I: Installing the build-deps I: user script /srv/workspace/pbuilder/270968/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='amd64' DEBIAN_FRONTEND='noninteractive' DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all parallel=12 ' DISTRIBUTION='trixie' HOME='/root' HOST_ARCH='amd64' IFS=' ' INVOCATION_ID='50da294a52b84e02b2677a0423e924a3' LANG='C' LANGUAGE='en_US:en' LC_ALL='C' 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='270968' 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.dFJg6OC7/pbuilderrc_z35Q --distribution trixie --hookdir /etc/pbuilder/first-build-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/trixie-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/b1 --logfile b1/build.log octave-stk_2.8.1-3.dsc' SUDO_GID='109' SUDO_UID='104' SUDO_USER='jenkins' TERM='unknown' TZ='/usr/share/zoneinfo/Etc/GMT+12' USER='root' _='/usr/bin/systemd-run' I: uname -a Linux infom01-amd64 6.1.0-28-cloud-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.1.119-1 (2024-11-22) x86_64 GNU/Linux I: ls -l /bin lrwxrwxrwx 1 root root 7 Aug 4 21:30 /bin -> usr/bin I: user script /srv/workspace/pbuilder/270968/tmp/hooks/D02_print_environment finished -> Attempting to satisfy build-dependencies -> Creating pbuilder-satisfydepends-dummy package Package: pbuilder-satisfydepends-dummy Version: 0.invalid.0 Architecture: amd64 Maintainer: Debian Pbuilder Team Description: Dummy package to satisfy dependencies with aptitude - created by pbuilder This package was created automatically by pbuilder to satisfy the build-dependencies of the package being currently built. Depends: debhelper-compat (= 13), dh-sequence-octave dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'. Selecting previously unselected package pbuilder-satisfydepends-dummy. (Reading database ... 19969 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-octave; however: Package dh-sequence-octave 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: aglfn{a} appstream{a} autoconf{a} automake{a} autopoint{a} autotools-dev{a} bsdextrautils{a} ca-certificates{a} cme{a} comerr-dev{a} debhelper{a} dh-autoreconf{a} dh-octave{a} dh-octave-autopkgtest{a} dh-strip-nondeterminism{a} diffstat{a} dwz{a} file{a} fontconfig{a} fontconfig-config{a} fonts-dejavu-core{a} fonts-dejavu-mono{a} fonts-freefont-otf{a} gettext{a} gettext-base{a} gfortran{a} gfortran-14{a} gfortran-14-x86-64-linux-gnu{a} gfortran-x86-64-linux-gnu{a} gnuplot-data{a} gnuplot-nox{a} gpg{a} gpgconf{a} groff-base{a} hdf5-helpers{a} intltool-debian{a} iso-codes{a} krb5-multidev{a} libabsl20230802{a} libaec-dev{a} libaec0{a} libalgorithm-c3-perl{a} libaliased-perl{a} libamd3{a} libaom3{a} libapp-cmd-perl{a} libappstream5{a} libapt-pkg-perl{a} libarchive-zip-perl{a} libarpack2t64{a} libarray-intspan-perl{a} libasound2-data{a} libasound2t64{a} libassuan9{a} libavahi-client3{a} libavahi-common-data{a} libavahi-common3{a} libavif16{a} libb-hooks-endofscope-perl{a} libb-hooks-op-check-perl{a} libb2-1{a} libberkeleydb-perl{a} libblas-dev{a} libblas3{a} libboolean-perl{a} libbrotli-dev{a} libbrotli1{a} libcairo2{a} libcamd3{a} libcapture-tiny-perl{a} libcarp-assert-more-perl{a} libccolamd3{a} libcgi-pm-perl{a} libcholmod5{a} libclass-c3-perl{a} libclass-data-inheritable-perl{a} libclass-inspector-perl{a} libclass-load-perl{a} libclass-method-modifiers-perl{a} libclass-xsaccessor-perl{a} libclone-choose-perl{a} libclone-perl{a} libcolamd3{a} libcom-err2{a} libconfig-model-backend-yaml-perl{a} libconfig-model-dpkg-perl{a} libconfig-model-perl{a} libconfig-tiny-perl{a} libconst-fast-perl{a} libconvert-binhex-perl{a} libcpanel-json-xs-perl{a} libcups2t64{a} libcurl3t64-gnutls{a} libcurl4-openssl-dev{a} libcurl4t64{a} libcxsparse4{a} libdata-dpath-perl{a} libdata-messagepack-perl{a} libdata-optlist-perl{a} libdata-section-perl{a} libdata-validate-domain-perl{a} libdata-validate-ip-perl{a} libdata-validate-uri-perl{a} libdatrie1{a} libdav1d7{a} libdbus-1-3{a} libde265-0{a} libdebhelper-perl{a} libdeflate0{a} libdevel-callchecker-perl{a} libdevel-size-perl{a} libdevel-stacktrace-perl{a} libdouble-conversion3{a} libdrm-amdgpu1{a} libdrm-common{a} libdrm-intel1{a} libdrm-radeon1{a} libdrm2{a} libduktape207{a} libdynaloader-functions-perl{a} libedit2{a} libegl-mesa0{a} libegl1{a} libelf1t64{a} libemail-address-xs-perl{a} libencode-locale-perl{a} liberror-perl{a} libevdev2{a} libevent-2.1-7t64{a} libexception-class-perl{a} libexpat1{a} libexporter-lite-perl{a} libexporter-tiny-perl{a} libfeature-compat-class-perl{a} libfeature-compat-try-perl{a} libfftw3-bin{a} libfftw3-dev{a} libfftw3-double3{a} libfftw3-long3{a} libfftw3-quad3{a} libfftw3-single3{a} libfile-basedir-perl{a} libfile-find-rule-perl{a} libfile-homedir-perl{a} libfile-listing-perl{a} libfile-sharedir-perl{a} libfile-stripnondeterminism-perl{a} libfile-which-perl{a} libflac12t64{a} libfltk-gl1.3t64{a} libfltk1.3t64{a} libfont-ttf-perl{a} libfontconfig1{a} libfreetype6{a} libfribidi0{a} libgav1-1{a} libgbm1{a} libgd3{a} libgetopt-long-descriptive-perl{a} libgfortran-14-dev{a} libgfortran5{a} libgif7{a} libgl-dev{a} libgl1{a} libgl1-mesa-dri{a} libgl2ps1.4{a} libglapi-mesa{a} libglib2.0-0t64{a} libglpk40{a} libglu1-mesa{a} libglvnd0{a} libglx-dev{a} libglx-mesa0{a} libglx0{a} libgmp-dev{a} libgmpxx4ldbl{a} libgnutls-dane0t64{a} libgnutls-openssl27t64{a} libgnutls28-dev{a} libgraphicsmagick++-q16-12t64{a} libgraphicsmagick-q16-3t64{a} libgraphite2-3{a} libgssapi-krb5-2{a} libgssrpc4t64{a} libgudev-1.0-0{a} libharfbuzz0b{a} libhash-merge-perl{a} libhdf5-103-1t64{a} libhdf5-cpp-103-1t64{a} libhdf5-dev{a} libhdf5-fortran-102t64{a} libhdf5-hl-100t64{a} libhdf5-hl-cpp-100t64{a} libhdf5-hl-fortran-100t64{a} libheif-plugin-dav1d{a} libheif-plugin-libde265{a} libheif1{a} libhtml-form-perl{a} libhtml-html5-entities-perl{a} libhtml-parser-perl{a} libhtml-tagset-perl{a} libhtml-tokeparser-simple-perl{a} libhtml-tree-perl{a} libhttp-cookies-perl{a} libhttp-date-perl{a} libhttp-message-perl{a} libhttp-negotiate-perl{a} libhwy1t64{a} libice6{a} libicu72{a} libidn2-dev{a} libimagequant0{a} libimath-3-1-29t64{a} libimport-into-perl{a} libindirect-perl{a} libinput-bin{a} libinput10{a} libio-html-perl{a} libio-interactive-perl{a} libio-socket-ssl-perl{a} libio-string-perl{a} libio-stringy-perl{a} libio-tiecombine-perl{a} libipc-run3-perl{a} libipc-system-simple-perl{a} libiterator-perl{a} libiterator-util-perl{a} libjack-jackd2-0{a} libjbig0{a} libjpeg-dev{a} libjpeg62-turbo{a} libjpeg62-turbo-dev{a} libjson-maybexs-perl{a} libjson-perl{a} libjxl0.9{a} libk5crypto3{a} libkadm5clnt-mit12{a} libkadm5srv-mit12{a} libkdb5-10t64{a} libkeyutils1{a} libkrb5-3{a} libkrb5-dev{a} libkrb5support0{a} liblapack-dev{a} liblapack3{a} liblcms2-2{a} libldap-2.5-0{a} libldap-dev{a} liblerc4{a} liblist-compare-perl{a} liblist-moreutils-perl{a} liblist-moreutils-xs-perl{a} liblist-someutils-perl{a} liblist-utilsby-perl{a} libllvm19{a} liblog-any-adapter-screen-perl{a} liblog-any-perl{a} liblog-log4perl-perl{a} libltdl7{a} liblua5.4-0{a} liblwp-mediatypes-perl{a} liblwp-protocol-https-perl{a} liblz1{a} liblzo2-2{a} libmagic-mgc{a} libmagic1t64{a} libmailtools-perl{a} libmarkdown2{a} libmd4c0{a} libmime-tools-perl{a} libmldbm-perl{a} libmodule-implementation-perl{a} libmodule-pluggable-perl{a} libmodule-runtime-perl{a} libmoo-perl{a} libmoox-aliases-perl{a} libmouse-perl{a} libmousex-nativetraits-perl{a} libmousex-strictconstructor-perl{a} libmp3lame0{a} libmpg123-0t64{a} libmro-compat-perl{a} libmtdev1t64{a} libnamespace-clean-perl{a} libncurses-dev{a} libncurses6{a} libnet-domain-tld-perl{a} libnet-http-perl{a} libnet-ipv6addr-perl{a} libnet-netmask-perl{a} libnet-smtp-ssl-perl{a} libnet-ssleay-perl{a} libnetaddr-ip-perl{a} libnghttp2-14{a} libnghttp2-dev{a} libnghttp3-9{a} libngtcp2-16{a} libngtcp2-crypto-gnutls8{a} libnumber-compare-perl{a} libobject-pad-perl{a} libogg0{a} libopenexr-3-1-30{a} libopengl0{a} libopus0{a} libp11-kit-dev{a} libpackage-stash-perl{a} libpango-1.0-0{a} libpangocairo-1.0-0{a} libpangoft2-1.0-0{a} libparams-classify-perl{a} libparams-util-perl{a} libparams-validate-perl{a} libparse-debcontrol-perl{a} libparse-recdescent-perl{a} libpath-iterator-rule-perl{a} libpath-tiny-perl{a} libpciaccess0{a} libpcre2-16-0{a} libperlio-gzip-perl{a} libperlio-utf8-strict-perl{a} libpipeline1{a} libpixman-1-0{a} libpkgconf3{a} libpng16-16t64{a} libpod-constants-perl{a} libpod-parser-perl{a} libpod-pom-perl{a} libportaudio2{a} libproc-processtable-perl{a} libproxy1v5{a} libpsl-dev{a} libpsl5t64{a} libqhull-r8.0{a} libqrupdate1{a} libqscintilla2-qt6-15{a} libqscintilla2-qt6-l10n{a} libqt6core5compat6{a} libqt6core6t64{a} libqt6dbus6{a} libqt6gui6{a} libqt6help6{a} libqt6network6{a} libqt6opengl6{a} libqt6openglwidgets6{a} libqt6printsupport6{a} libqt6sql6{a} libqt6widgets6{a} libqt6xml6{a} libraqm0{a} librav1e0.7{a} libreadline-dev{a} libreadline8t64{a} libregexp-common-perl{a} libregexp-pattern-license-perl{a} libregexp-pattern-perl{a} libregexp-wildcards-perl{a} librole-tiny-perl{a} librtmp-dev{a} librtmp1{a} libsamplerate0{a} libsasl2-2{a} libsasl2-modules-db{a} libsensors-config{a} libsensors5{a} libsereal-decoder-perl{a} libsereal-encoder-perl{a} libset-intspan-perl{a} libsharpyuv0{a} libsm6{a} libsndfile1{a} libsoftware-copyright-perl{a} libsoftware-license-perl{a} libsoftware-licensemoreutils-perl{a} libsort-versions-perl{a} libspqr4{a} libssh2-1-dev{a} libssh2-1t64{a} libssl-dev{a} libstemmer0d{a} libstrictures-perl{a} libstring-copyright-perl{a} libstring-escape-perl{a} libstring-license-perl{a} libstring-rewriteprefix-perl{a} libsub-exporter-perl{a} libsub-exporter-progressive-perl{a} libsub-identify-perl{a} libsub-install-perl{a} libsub-name-perl{a} libsub-quote-perl{a} libsub-uplevel-perl{a} libsuitesparseconfig7{a} libsvtav1enc2{a} libsyntax-keyword-try-perl{a} libsz2{a} libtasn1-6-dev{a} libterm-readkey-perl{a} libtest-exception-perl{a} libtext-autoformat-perl{a} libtext-glob-perl{a} libtext-levenshtein-damerau-perl{a} libtext-levenshteinxs-perl{a} libtext-markdown-discount-perl{a} libtext-reform-perl{a} libtext-template-perl{a} libtext-unidecode-perl{a} libtext-xslate-perl{a} libthai-data{a} libthai0{a} libtiff6{a} libtime-duration-perl{a} libtime-moment-perl{a} libtimedate-perl{a} libtoml-tiny-perl{a} libtool{a} libtry-tiny-perl{a} libts0t64{a} libuchardet0{a} libumfpack6{a} libunbound8{a} libunicode-utf8-perl{a} liburi-perl{a} libvariable-magic-perl{a} libvorbis0a{a} libvorbisenc2{a} libvulkan1{a} libwacom-common{a} libwacom9{a} libwayland-client0{a} libwayland-server0{a} libwebp7{a} libwebpmux3{a} libwmflite-0.2-7{a} libwww-mechanize-perl{a} libwww-perl{a} libwww-robotrules-perl{a} libx11-6{a} libx11-data{a} libx11-dev{a} libx11-xcb1{a} libxau-dev{a} libxau6{a} libxcb-cursor0{a} libxcb-dri2-0{a} libxcb-dri3-0{a} libxcb-glx0{a} libxcb-icccm4{a} libxcb-image0{a} libxcb-keysyms1{a} libxcb-present0{a} libxcb-randr0{a} libxcb-render-util0{a} libxcb-render0{a} libxcb-shape0{a} libxcb-shm0{a} libxcb-sync1{a} libxcb-util1{a} libxcb-xfixes0{a} libxcb-xinput0{a} libxcb-xkb1{a} libxcb1{a} libxcb1-dev{a} libxcursor1{a} libxdmcp-dev{a} libxdmcp6{a} libxext6{a} libxfixes3{a} libxft2{a} libxinerama1{a} libxkbcommon-x11-0{a} libxkbcommon0{a} libxml-libxml-perl{a} libxml-namespacesupport-perl{a} libxml-sax-base-perl{a} libxml-sax-perl{a} libxml2{a} libxmlb2{a} libxpm4{a} libxrender1{a} libxs-parse-keyword-perl{a} libxs-parse-sublike-perl{a} libxshmfence1{a} libxxf86vm1{a} libyaml-0-2{a} libyaml-libyaml-perl{a} libyaml-pp-perl{a} libyaml-tiny-perl{a} libyuv0{a} libz3-4{a} libzstd-dev{a} licensecheck{a} lintian{a} lzop{a} m4{a} man-db{a} mesa-libgallium{a} netbase{a} nettle-dev{a} octave{a} octave-common{a} octave-dev{a} openssl{a} patchutils{a} perl-openssl-defaults{a} pkgconf{a} pkgconf-bin{a} plzip{a} po-debconf{a} readline-common{a} sensible-utils{a} shared-mime-info{a} t1utils{a} tex-common{a} texinfo{a} texinfo-lib{a} ucf{a} unzip{a} x11-common{a} x11proto-dev{a} xkb-data{a} xorg-sgml-doctools{a} xtrans-dev{a} zlib1g-dev{a} The following packages are RECOMMENDED but will NOT be installed: alsa-topology-conf alsa-ucm-conf bash-completion curl dbus default-jre-headless epstool fonts-liberation fonts-urw-base35 ghostscript gnupg groff krb5-locales libarchive-cpio-perl libauthen-sasl-perl libblis4 libcgi-fast-perl libclass-c3-xs-perl libconfig-model-approx-perl libconfig-model-lcdproc-perl libconfig-model-openssh-perl libconfig-model-systemd-perl libconfig-model-tkui-perl libdata-dump-perl libfreezethaw-perl libfuse-perl libglib2.0-data libgpm2 libheif-plugin-aomenc libheif-plugin-x265 libhtml-format-perl libhttp-daemon-perl libio-compress-brotli-perl libipc-shareable-perl libjson-xs-perl libldap-common liblist-someutils-xs-perl liblog-dispatch-perl libltdl-dev libmail-sendmail-perl libmath-base85-perl libopenblas0 libpackage-stash-xs-perl libqt6sql6-ibase libqt6sql6-mysql libqt6sql6-odbc libqt6sql6-psql libqt6sql6-sqlite libre-engine-re2-perl libsasl2-modules libsocket6-perl libtasn1-doc libtie-ixhash-perl libtypes-serialiser-perl libxml-sax-expat-perl libxstring-perl lynx mesa-vulkan-drivers octave-doc pstoedit publicsuffix qt6-gtk-platformtheme qt6-qpa-plugins qt6-translations-l10n qt6-wayland wget xdg-user-dirs 0 packages upgraded, 523 newly installed, 0 to remove and 0 not upgraded. Need to get 201 MB of archives. After unpacking 775 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian trixie/main amd64 netbase all 6.4 [12.8 kB] Get: 2 http://deb.debian.org/debian trixie/main amd64 readline-common all 8.2-5 [69.3 kB] Get: 3 http://deb.debian.org/debian trixie/main amd64 sensible-utils all 0.0.24 [24.8 kB] Get: 4 http://deb.debian.org/debian trixie/main amd64 openssl amd64 3.3.2-2 [1382 kB] Get: 5 http://deb.debian.org/debian trixie/main amd64 ca-certificates all 20240203 [158 kB] Get: 6 http://deb.debian.org/debian trixie/main amd64 libmagic-mgc amd64 1:5.45-3+b1 [314 kB] Get: 7 http://deb.debian.org/debian trixie/main amd64 libmagic1t64 amd64 1:5.45-3+b1 [108 kB] Get: 8 http://deb.debian.org/debian trixie/main amd64 file amd64 1:5.45-3+b1 [43.3 kB] Get: 9 http://deb.debian.org/debian trixie/main amd64 gettext-base amd64 0.22.5-2 [200 kB] Get: 10 http://deb.debian.org/debian trixie/main amd64 libuchardet0 amd64 0.0.8-1+b2 [68.9 kB] Get: 11 http://deb.debian.org/debian trixie/main amd64 groff-base amd64 1.23.0-5 [1181 kB] Get: 12 http://deb.debian.org/debian trixie/main amd64 bsdextrautils amd64 2.40.2-11 [91.5 kB] Get: 13 http://deb.debian.org/debian trixie/main amd64 libpipeline1 amd64 1.5.8-1 [42.0 kB] Get: 14 http://deb.debian.org/debian trixie/main amd64 man-db amd64 2.13.0-1 [1420 kB] Get: 15 http://deb.debian.org/debian trixie/main amd64 ucf all 3.0043+nmu1 [55.2 kB] Get: 16 http://deb.debian.org/debian trixie/main amd64 aglfn all 1.7+git20191031.4036a9c-2 [30.5 kB] Get: 17 http://deb.debian.org/debian trixie/main amd64 libglib2.0-0t64 amd64 2.82.2-2 [1501 kB] Get: 18 http://deb.debian.org/debian trixie/main amd64 libicu72 amd64 72.1-5+b1 [9423 kB] Get: 19 http://deb.debian.org/debian trixie/main amd64 libxml2 amd64 2.12.7+dfsg+really2.9.14-0.2+b1 [699 kB] Get: 20 http://deb.debian.org/debian trixie/main amd64 shared-mime-info amd64 2.4-5+b1 [759 kB] Get: 21 http://deb.debian.org/debian trixie/main amd64 libbrotli1 amd64 1.1.0-2+b6 [302 kB] Get: 22 http://deb.debian.org/debian trixie/main amd64 libkrb5support0 amd64 1.21.3-3 [32.5 kB] Get: 23 http://deb.debian.org/debian trixie/main amd64 libcom-err2 amd64 1.47.1-1+b1 [23.2 kB] Get: 24 http://deb.debian.org/debian trixie/main amd64 libk5crypto3 amd64 1.21.3-3 [79.9 kB] Get: 25 http://deb.debian.org/debian trixie/main amd64 libkeyutils1 amd64 1.6.3-4 [9092 B] Get: 26 http://deb.debian.org/debian trixie/main amd64 libkrb5-3 amd64 1.21.3-3 [324 kB] Get: 27 http://deb.debian.org/debian trixie/main amd64 libgssapi-krb5-2 amd64 1.21.3-3 [136 kB] Get: 28 http://deb.debian.org/debian trixie/main amd64 libsasl2-modules-db amd64 2.1.28+dfsg1-8 [19.6 kB] Get: 29 http://deb.debian.org/debian trixie/main amd64 libsasl2-2 amd64 2.1.28+dfsg1-8 [57.3 kB] Get: 30 http://deb.debian.org/debian trixie/main amd64 libldap-2.5-0 amd64 2.5.18+dfsg-3+b1 [188 kB] Get: 31 http://deb.debian.org/debian trixie/main amd64 libnghttp2-14 amd64 1.64.0-1 [75.5 kB] Get: 32 http://deb.debian.org/debian trixie/main amd64 libnghttp3-9 amd64 1.4.0-1+b1 [63.6 kB] Get: 33 http://deb.debian.org/debian trixie/main amd64 libngtcp2-16 amd64 1.6.0-1 [122 kB] Get: 34 http://deb.debian.org/debian trixie/main amd64 libngtcp2-crypto-gnutls8 amd64 1.6.0-1 [19.6 kB] Get: 35 http://deb.debian.org/debian trixie/main amd64 libpsl5t64 amd64 0.21.2-1.1+b1 [57.2 kB] Get: 36 http://deb.debian.org/debian trixie/main amd64 librtmp1 amd64 2.4+20151223.gitfa8646d.1-2+b5 [58.8 kB] Get: 37 http://deb.debian.org/debian trixie/main amd64 libssh2-1t64 amd64 1.11.1-1 [245 kB] Get: 38 http://deb.debian.org/debian trixie/main amd64 libcurl3t64-gnutls amd64 8.11.0-1 [359 kB] Get: 39 http://deb.debian.org/debian trixie/main amd64 libstemmer0d amd64 2.2.0-4+b2 [119 kB] Get: 40 http://deb.debian.org/debian trixie/main amd64 libxmlb2 amd64 0.3.21-1 [63.0 kB] Get: 41 http://deb.debian.org/debian trixie/main amd64 libyaml-0-2 amd64 0.2.5-1+b2 [52.7 kB] Get: 42 http://deb.debian.org/debian trixie/main amd64 libappstream5 amd64 1.0.3-1+b1 [224 kB] Get: 43 http://deb.debian.org/debian trixie/main amd64 appstream amd64 1.0.3-1+b1 [469 kB] Get: 44 http://deb.debian.org/debian trixie/main amd64 m4 amd64 1.4.19-4 [287 kB] Get: 45 http://deb.debian.org/debian trixie/main amd64 autoconf all 2.72-3 [493 kB] Get: 46 http://deb.debian.org/debian trixie/main amd64 autotools-dev all 20220109.1 [51.6 kB] Get: 47 http://deb.debian.org/debian trixie/main amd64 automake all 1:1.16.5-1.3 [823 kB] Get: 48 http://deb.debian.org/debian trixie/main amd64 autopoint all 0.22.5-2 [723 kB] Get: 49 http://deb.debian.org/debian trixie/main amd64 libcapture-tiny-perl all 0.48-2 [24.6 kB] Get: 50 http://deb.debian.org/debian trixie/main amd64 libparams-util-perl amd64 1.102-3+b1 [24.4 kB] Get: 51 http://deb.debian.org/debian trixie/main amd64 libsub-install-perl all 0.929-1 [10.5 kB] Get: 52 http://deb.debian.org/debian trixie/main amd64 libdata-optlist-perl all 0.114-1 [10.6 kB] Get: 53 http://deb.debian.org/debian trixie/main amd64 libb-hooks-op-check-perl amd64 0.22-3+b2 [10.6 kB] Get: 54 http://deb.debian.org/debian trixie/main amd64 libdynaloader-functions-perl all 0.004-1 [12.1 kB] Get: 55 http://deb.debian.org/debian trixie/main amd64 libdevel-callchecker-perl amd64 0.009-1+b1 [16.2 kB] Get: 56 http://deb.debian.org/debian trixie/main amd64 libparams-classify-perl amd64 0.015-2+b4 [22.5 kB] Get: 57 http://deb.debian.org/debian trixie/main amd64 libmodule-runtime-perl all 0.016-2 [19.6 kB] Get: 58 http://deb.debian.org/debian trixie/main amd64 libtry-tiny-perl all 0.32-1 [22.9 kB] Get: 59 http://deb.debian.org/debian trixie/main amd64 libmodule-implementation-perl all 0.09-2 [12.6 kB] Get: 60 http://deb.debian.org/debian trixie/main amd64 libpackage-stash-perl all 0.40-1 [22.0 kB] Get: 61 http://deb.debian.org/debian trixie/main amd64 libclass-load-perl all 0.25-2 [15.3 kB] Get: 62 http://deb.debian.org/debian trixie/main amd64 libio-stringy-perl all 2.113-2 [48.3 kB] Get: 63 http://deb.debian.org/debian trixie/main amd64 libparams-validate-perl amd64 1.31-2+b3 [63.4 kB] Get: 64 http://deb.debian.org/debian trixie/main amd64 libsub-exporter-perl all 0.990-1 [50.6 kB] Get: 65 http://deb.debian.org/debian trixie/main amd64 libgetopt-long-descriptive-perl all 0.115-1 [27.6 kB] Get: 66 http://deb.debian.org/debian trixie/main amd64 libio-tiecombine-perl all 1.005-3 [10.8 kB] Get: 67 http://deb.debian.org/debian trixie/main amd64 libmodule-pluggable-perl all 5.2-5 [23.0 kB] Get: 68 http://deb.debian.org/debian trixie/main amd64 libstring-rewriteprefix-perl all 0.009-1 [7140 B] Get: 69 http://deb.debian.org/debian trixie/main amd64 libapp-cmd-perl all 0.336-1 [65.8 kB] Get: 70 http://deb.debian.org/debian trixie/main amd64 libboolean-perl all 0.46-3 [9924 B] Get: 71 http://deb.debian.org/debian trixie/main amd64 libsub-uplevel-perl all 0.2800-3 [14.0 kB] Get: 72 http://deb.debian.org/debian trixie/main amd64 libtest-exception-perl all 0.43-3 [16.9 kB] Get: 73 http://deb.debian.org/debian trixie/main amd64 libcarp-assert-more-perl all 2.5.0-1 [20.5 kB] Get: 74 http://deb.debian.org/debian trixie/main amd64 libfile-which-perl all 1.27-2 [15.1 kB] Get: 75 http://deb.debian.org/debian trixie/main amd64 libfile-homedir-perl all 1.006-2 [42.4 kB] Get: 76 http://deb.debian.org/debian trixie/main amd64 libclone-choose-perl all 0.010-2 [8676 B] Get: 77 http://deb.debian.org/debian trixie/main amd64 libhash-merge-perl all 0.302-1 [14.7 kB] Get: 78 http://deb.debian.org/debian trixie/main amd64 libjson-perl all 4.10000-1 [87.5 kB] Get: 79 http://deb.debian.org/debian trixie/main amd64 libexporter-tiny-perl all 1.006002-1 [38.7 kB] Get: 80 http://deb.debian.org/debian trixie/main amd64 liblist-moreutils-xs-perl amd64 0.430-4+b2 [42.1 kB] Get: 81 http://deb.debian.org/debian trixie/main amd64 liblist-moreutils-perl all 0.430-2 [46.9 kB] Get: 82 http://deb.debian.org/debian trixie/main amd64 liblog-log4perl-perl all 1.57-1 [367 kB] Get: 83 http://deb.debian.org/debian trixie/main amd64 libmouse-perl amd64 2.5.11-1+b1 [144 kB] Get: 84 http://deb.debian.org/debian trixie/main amd64 libmousex-nativetraits-perl all 1.09-3 [53.5 kB] Get: 85 http://deb.debian.org/debian trixie/main amd64 libmousex-strictconstructor-perl all 0.02-3 [5304 B] Get: 86 http://deb.debian.org/debian trixie/main amd64 libparse-recdescent-perl all 1.967015+dfsg-4 [147 kB] Get: 87 http://deb.debian.org/debian trixie/main amd64 libpath-tiny-perl all 0.146-1 [56.2 kB] Get: 88 http://deb.debian.org/debian trixie/main amd64 libpod-pom-perl all 2.01-4 [65.0 kB] Get: 89 http://deb.debian.org/debian trixie/main amd64 libregexp-common-perl all 2024080801-1 [167 kB] Get: 90 http://deb.debian.org/debian trixie/main amd64 libyaml-tiny-perl all 1.74-1 [30.7 kB] Get: 91 http://deb.debian.org/debian trixie/main amd64 libconfig-model-perl all 2.154-1 [372 kB] Get: 92 http://deb.debian.org/debian trixie/main amd64 libyaml-pp-perl all 0.38.0-1 [109 kB] Get: 93 http://deb.debian.org/debian trixie/main amd64 cme all 1.040-1 [68.8 kB] Get: 94 http://deb.debian.org/debian trixie/main amd64 comerr-dev amd64 2.1-1.47.1-1+b1 [54.8 kB] Get: 95 http://deb.debian.org/debian trixie/main amd64 libdebhelper-perl all 13.20 [89.7 kB] Get: 96 http://deb.debian.org/debian trixie/main amd64 libtool all 2.4.7-8 [517 kB] Get: 97 http://deb.debian.org/debian trixie/main amd64 dh-autoreconf all 20 [17.1 kB] Get: 98 http://deb.debian.org/debian trixie/main amd64 libarchive-zip-perl all 1.68-1 [104 kB] Get: 99 http://deb.debian.org/debian trixie/main amd64 libfile-stripnondeterminism-perl all 1.14.0-1 [19.5 kB] Get: 100 http://deb.debian.org/debian trixie/main amd64 dh-strip-nondeterminism all 1.14.0-1 [8448 B] Get: 101 http://deb.debian.org/debian trixie/main amd64 libelf1t64 amd64 0.192-4 [189 kB] Get: 102 http://deb.debian.org/debian trixie/main amd64 dwz amd64 0.15-1+b1 [110 kB] Get: 103 http://deb.debian.org/debian trixie/main amd64 gettext amd64 0.22.5-2 [1601 kB] Get: 104 http://deb.debian.org/debian trixie/main amd64 intltool-debian all 0.35.0+20060710.6 [22.9 kB] Get: 105 http://deb.debian.org/debian trixie/main amd64 po-debconf all 1.0.21+nmu1 [248 kB] Get: 106 http://deb.debian.org/debian trixie/main amd64 debhelper all 13.20 [915 kB] Get: 107 http://deb.debian.org/debian trixie/main amd64 gnuplot-data all 6.0.0+dfsg1-3 [72.3 kB] Get: 108 http://deb.debian.org/debian trixie/main amd64 libexpat1 amd64 2.6.4-1 [106 kB] Get: 109 http://deb.debian.org/debian trixie/main amd64 libpng16-16t64 amd64 1.6.44-2 [280 kB] Get: 110 http://deb.debian.org/debian trixie/main amd64 libfreetype6 amd64 2.13.3+dfsg-1 [452 kB] Get: 111 http://deb.debian.org/debian trixie/main amd64 fonts-dejavu-mono all 2.37-8 [489 kB] Get: 112 http://deb.debian.org/debian trixie/main amd64 fonts-dejavu-core all 2.37-8 [840 kB] Get: 113 http://deb.debian.org/debian trixie/main amd64 fonts-freefont-otf all 20211204+svn4273-2 [4328 kB] Get: 114 http://deb.debian.org/debian trixie/main amd64 fontconfig-config amd64 2.15.0-1.1+b1 [318 kB] Get: 115 http://deb.debian.org/debian trixie/main amd64 libfontconfig1 amd64 2.15.0-1.1+b1 [391 kB] Get: 116 http://deb.debian.org/debian trixie/main amd64 libpixman-1-0 amd64 0.44.0-3 [248 kB] Get: 117 http://deb.debian.org/debian trixie/main amd64 libxau6 amd64 1:1.0.11-1 [20.4 kB] Get: 118 http://deb.debian.org/debian trixie/main amd64 libxdmcp6 amd64 1:1.1.5-1 [27.8 kB] Get: 119 http://deb.debian.org/debian trixie/main amd64 libxcb1 amd64 1.17.0-2+b1 [144 kB] Get: 120 http://deb.debian.org/debian trixie/main amd64 libx11-data all 2:1.8.10-2 [337 kB] Get: 121 http://deb.debian.org/debian trixie/main amd64 libx11-6 amd64 2:1.8.10-2 [813 kB] Get: 122 http://deb.debian.org/debian trixie/main amd64 libxcb-render0 amd64 1.17.0-2+b1 [115 kB] Get: 123 http://deb.debian.org/debian trixie/main amd64 libxcb-shm0 amd64 1.17.0-2+b1 [105 kB] Get: 124 http://deb.debian.org/debian trixie/main amd64 libxext6 amd64 2:1.3.4-1+b2 [50.5 kB] Get: 125 http://deb.debian.org/debian trixie/main amd64 libxrender1 amd64 1:0.9.10-1.1+b2 [27.8 kB] Get: 126 http://deb.debian.org/debian trixie/main amd64 libcairo2 amd64 1.18.2-2 [535 kB] Get: 127 http://deb.debian.org/debian trixie/main amd64 libedit2 amd64 3.1-20240808-1 [93.9 kB] Get: 128 http://deb.debian.org/debian trixie/main amd64 libaom3 amd64 3.11.0-1 [1879 kB] Get: 129 http://deb.debian.org/debian trixie/main amd64 libdav1d7 amd64 1.5.0-1+b1 [550 kB] Get: 130 http://deb.debian.org/debian trixie/main amd64 libabsl20230802 amd64 20230802.1-4 [464 kB] Get: 131 http://deb.debian.org/debian trixie/main amd64 libgav1-1 amd64 0.19.0-2+b2 [350 kB] Get: 132 http://deb.debian.org/debian trixie/main amd64 librav1e0.7 amd64 0.7.1-7+b2 [936 kB] Get: 133 http://deb.debian.org/debian trixie/main amd64 libsvtav1enc2 amd64 2.2.1+dfsg-2 [2173 kB] Get: 134 http://deb.debian.org/debian trixie/main amd64 libjpeg62-turbo amd64 1:2.1.5-3+b1 [168 kB] Get: 135 http://deb.debian.org/debian trixie/main amd64 libyuv0 amd64 0.0.1897.20241115-1 [172 kB] Get: 136 http://deb.debian.org/debian trixie/main amd64 libavif16 amd64 1.1.1-1 [117 kB] Get: 137 http://deb.debian.org/debian trixie/main amd64 libsharpyuv0 amd64 1.4.0-0.1+b1 [113 kB] Get: 138 http://deb.debian.org/debian trixie/main amd64 libheif-plugin-dav1d amd64 1.19.3-1 [11.2 kB] Get: 139 http://deb.debian.org/debian trixie/main amd64 libde265-0 amd64 1.0.15-1+b2 [189 kB] Get: 140 http://deb.debian.org/debian trixie/main amd64 libheif-plugin-libde265 amd64 1.19.3-1 [15.0 kB] Get: 141 http://deb.debian.org/debian trixie/main amd64 libheif1 amd64 1.19.3-1 [489 kB] Get: 142 http://deb.debian.org/debian trixie/main amd64 libimagequant0 amd64 2.18.0-1+b2 [35.2 kB] Get: 143 http://deb.debian.org/debian trixie/main amd64 libfribidi0 amd64 1.0.15-1 [71.8 kB] Get: 144 http://deb.debian.org/debian trixie/main amd64 libgraphite2-3 amd64 1.3.14-2+b1 [75.4 kB] Get: 145 http://deb.debian.org/debian trixie/main amd64 libharfbuzz0b amd64 10.0.1-1 [477 kB] Get: 146 http://deb.debian.org/debian trixie/main amd64 libraqm0 amd64 0.10.1-1+b2 [14.1 kB] Get: 147 http://deb.debian.org/debian trixie/main amd64 libdeflate0 amd64 1.22-1 [47.3 kB] Get: 148 http://deb.debian.org/debian trixie/main amd64 libjbig0 amd64 2.1-6.1+b2 [32.1 kB] Get: 149 http://deb.debian.org/debian trixie/main amd64 liblerc4 amd64 4.0.0+ds-5 [183 kB] Get: 150 http://deb.debian.org/debian trixie/main amd64 libwebp7 amd64 1.4.0-0.1+b1 [313 kB] Get: 151 http://deb.debian.org/debian trixie/main amd64 libtiff6 amd64 4.5.1+git230720-5 [324 kB] Get: 152 http://deb.debian.org/debian trixie/main amd64 libxpm4 amd64 1:3.5.17-1+b2 [56.3 kB] Get: 153 http://deb.debian.org/debian trixie/main amd64 libgd3 amd64 2.3.3-12+b1 [126 kB] Get: 154 http://deb.debian.org/debian trixie/main amd64 liblua5.4-0 amd64 5.4.6-3+b2 [147 kB] Get: 155 http://deb.debian.org/debian trixie/main amd64 fontconfig amd64 2.15.0-1.1+b1 [463 kB] Get: 156 http://deb.debian.org/debian trixie/main amd64 libthai-data all 0.1.29-2 [168 kB] Get: 157 http://deb.debian.org/debian trixie/main amd64 libdatrie1 amd64 0.2.13-3+b1 [38.1 kB] Get: 158 http://deb.debian.org/debian trixie/main amd64 libthai0 amd64 0.1.29-2+b1 [49.4 kB] Get: 159 http://deb.debian.org/debian trixie/main amd64 libpango-1.0-0 amd64 1.54.0+ds-3 [223 kB] Get: 160 http://deb.debian.org/debian trixie/main amd64 libpangoft2-1.0-0 amd64 1.54.0+ds-3 [54.2 kB] Get: 161 http://deb.debian.org/debian trixie/main amd64 libpangocairo-1.0-0 amd64 1.54.0+ds-3 [35.2 kB] Get: 162 http://deb.debian.org/debian trixie/main amd64 libwebpmux3 amd64 1.4.0-0.1+b1 [123 kB] Get: 163 http://deb.debian.org/debian trixie/main amd64 gnuplot-nox amd64 6.0.0+dfsg1-3 [916 kB] Get: 164 http://deb.debian.org/debian trixie/main amd64 dh-octave-autopkgtest all 1.8.0 [10.0 kB] Get: 165 http://deb.debian.org/debian trixie/main amd64 libapt-pkg-perl amd64 0.1.40+b6 [67.8 kB] Get: 166 http://deb.debian.org/debian trixie/main amd64 libarray-intspan-perl all 2.004-2 [25.7 kB] Get: 167 http://deb.debian.org/debian trixie/main amd64 libyaml-libyaml-perl amd64 0.902.0+ds-2+b1 [35.5 kB] Get: 168 http://deb.debian.org/debian trixie/main amd64 libconfig-model-backend-yaml-perl all 2.134-2 [10.8 kB] Get: 169 http://deb.debian.org/debian trixie/main amd64 libexporter-lite-perl all 0.09-2 [10.7 kB] Get: 170 http://deb.debian.org/debian trixie/main amd64 libencode-locale-perl all 1.05-3 [12.9 kB] Get: 171 http://deb.debian.org/debian trixie/main amd64 libtimedate-perl all 2.3300-2 [39.3 kB] Get: 172 http://deb.debian.org/debian trixie/main amd64 libhttp-date-perl all 6.06-1 [10.7 kB] Get: 173 http://deb.debian.org/debian trixie/main amd64 libfile-listing-perl all 6.16-1 [12.4 kB] Get: 174 http://deb.debian.org/debian trixie/main amd64 libhtml-tagset-perl all 3.24-1 [14.7 kB] Get: 175 http://deb.debian.org/debian trixie/main amd64 liburi-perl all 5.30-1 [105 kB] Get: 176 http://deb.debian.org/debian trixie/main amd64 libhtml-parser-perl amd64 3.83-1+b1 [99.7 kB] Get: 177 http://deb.debian.org/debian trixie/main amd64 libhtml-tree-perl all 5.07-3 [211 kB] Get: 178 http://deb.debian.org/debian trixie/main amd64 libclone-perl amd64 0.47-1+b1 [13.9 kB] Get: 179 http://deb.debian.org/debian trixie/main amd64 libio-html-perl all 1.004-3 [16.2 kB] Get: 180 http://deb.debian.org/debian trixie/main amd64 liblwp-mediatypes-perl all 6.04-2 [20.2 kB] Get: 181 http://deb.debian.org/debian trixie/main amd64 libhttp-message-perl all 7.00-2 [79.8 kB] Get: 182 http://deb.debian.org/debian trixie/main amd64 libhttp-cookies-perl all 6.11-1 [19.1 kB] Get: 183 http://deb.debian.org/debian trixie/main amd64 libhttp-negotiate-perl all 6.01-2 [13.1 kB] Get: 184 http://deb.debian.org/debian trixie/main amd64 perl-openssl-defaults amd64 7+b2 [6724 B] Get: 185 http://deb.debian.org/debian trixie/main amd64 libnet-ssleay-perl amd64 1.94-2 [339 kB] Get: 186 http://deb.debian.org/debian trixie/main amd64 libio-socket-ssl-perl all 2.089-1 [223 kB] Get: 187 http://deb.debian.org/debian trixie/main amd64 libnet-http-perl all 6.23-1 [23.9 kB] Get: 188 http://deb.debian.org/debian trixie/main amd64 liblwp-protocol-https-perl all 6.14-1 [10.8 kB] Get: 189 http://deb.debian.org/debian trixie/main amd64 libwww-robotrules-perl all 6.02-1 [12.9 kB] Get: 190 http://deb.debian.org/debian trixie/main amd64 libwww-perl all 6.77-1 [183 kB] Get: 191 http://deb.debian.org/debian trixie/main amd64 liberror-perl all 0.17029-2 [29.0 kB] Get: 192 http://deb.debian.org/debian trixie/main amd64 libparse-debcontrol-perl all 2.005-6 [21.6 kB] Get: 193 http://deb.debian.org/debian trixie/main amd64 libsoftware-copyright-perl all 0.012-2 [18.0 kB] Get: 194 http://deb.debian.org/debian trixie/main amd64 libalgorithm-c3-perl all 0.11-2 [10.8 kB] Get: 195 http://deb.debian.org/debian trixie/main amd64 libclass-c3-perl all 0.35-2 [21.0 kB] Get: 196 http://deb.debian.org/debian trixie/main amd64 libmro-compat-perl all 0.15-2 [11.8 kB] Get: 197 http://deb.debian.org/debian trixie/main amd64 libdata-section-perl all 0.200008-1 [13.1 kB] Get: 198 http://deb.debian.org/debian trixie/main amd64 libtext-template-perl all 1.61-1 [54.4 kB] Get: 199 http://deb.debian.org/debian trixie/main amd64 libsoftware-license-perl all 0.104006-1 [116 kB] Get: 200 http://deb.debian.org/debian trixie/main amd64 libsoftware-licensemoreutils-perl all 1.009-1 [22.0 kB] Get: 201 http://deb.debian.org/debian trixie/main amd64 libsort-versions-perl all 1.62-3 [8928 B] Get: 202 http://deb.debian.org/debian trixie/main amd64 libtext-reform-perl all 1.20-5 [36.0 kB] Get: 203 http://deb.debian.org/debian trixie/main amd64 libtext-autoformat-perl all 1.750000-2 [35.2 kB] Get: 204 http://deb.debian.org/debian trixie/main amd64 libtext-levenshtein-damerau-perl all 0.41-3 [12.3 kB] Get: 205 http://deb.debian.org/debian trixie/main amd64 libtoml-tiny-perl all 0.18-1 [23.0 kB] Get: 206 http://deb.debian.org/debian trixie/main amd64 libclass-inspector-perl all 1.36-3 [17.5 kB] Get: 207 http://deb.debian.org/debian trixie/main amd64 libfile-sharedir-perl all 1.118-3 [16.0 kB] Get: 208 http://deb.debian.org/debian trixie/main amd64 libindirect-perl amd64 0.39-2+b4 [27.1 kB] Get: 209 http://deb.debian.org/debian trixie/main amd64 libxs-parse-keyword-perl amd64 0.46-1+b1 [64.9 kB] Get: 210 http://deb.debian.org/debian trixie/main amd64 libxs-parse-sublike-perl amd64 0.30-1 [43.4 kB] Get: 211 http://deb.debian.org/debian trixie/main amd64 libobject-pad-perl amd64 0.815-1 [123 kB] Get: 212 http://deb.debian.org/debian trixie/main amd64 libfeature-compat-class-perl all 0.07-1 [11.5 kB] Get: 213 http://deb.debian.org/debian trixie/main amd64 libsyntax-keyword-try-perl amd64 0.30-1+b1 [27.4 kB] Get: 214 http://deb.debian.org/debian trixie/main amd64 libfeature-compat-try-perl all 0.05-1 [10.4 kB] Get: 215 http://deb.debian.org/debian trixie/main amd64 libio-interactive-perl all 1.025-1 [11.4 kB] Get: 216 http://deb.debian.org/debian trixie/main amd64 liblog-any-perl all 1.717-1 [78.9 kB] Get: 217 http://deb.debian.org/debian trixie/main amd64 liblog-any-adapter-screen-perl all 0.141-1 [14.0 kB] Get: 218 http://deb.debian.org/debian trixie/main amd64 libsub-exporter-progressive-perl all 0.001013-3 [7496 B] Get: 219 http://deb.debian.org/debian trixie/main amd64 libvariable-magic-perl amd64 0.64-1+b1 [44.9 kB] Get: 220 http://deb.debian.org/debian trixie/main amd64 libb-hooks-endofscope-perl all 0.28-1 [17.5 kB] Get: 221 http://deb.debian.org/debian trixie/main amd64 libsub-identify-perl amd64 0.14-3+b3 [11.3 kB] Get: 222 http://deb.debian.org/debian trixie/main amd64 libsub-name-perl amd64 0.27-1+b3 [12.5 kB] Get: 223 http://deb.debian.org/debian trixie/main amd64 libnamespace-clean-perl all 0.27-2 [17.8 kB] Get: 224 http://deb.debian.org/debian trixie/main amd64 libnumber-compare-perl all 0.03-3 [6332 B] Get: 225 http://deb.debian.org/debian trixie/main amd64 libtext-glob-perl all 0.11-3 [7676 B] Get: 226 http://deb.debian.org/debian trixie/main amd64 libpath-iterator-rule-perl all 1.015-2 [41.7 kB] Get: 227 http://deb.debian.org/debian trixie/main amd64 libpod-parser-perl all 1.67-1 [94.1 kB] Get: 228 http://deb.debian.org/debian trixie/main amd64 libpod-constants-perl all 0.19-2 [17.3 kB] Get: 229 http://deb.debian.org/debian trixie/main amd64 libset-intspan-perl all 1.19-3 [25.3 kB] Get: 230 http://deb.debian.org/debian trixie/main amd64 libstring-copyright-perl all 0.003014-1 [23.4 kB] Get: 231 http://deb.debian.org/debian trixie/main amd64 libstring-escape-perl all 2010.002-3 [18.7 kB] Get: 232 http://deb.debian.org/debian trixie/main amd64 libregexp-pattern-license-perl all 3.11.2-1 [94.6 kB] Get: 233 http://deb.debian.org/debian trixie/main amd64 libregexp-pattern-perl all 0.2.14-2 [18.7 kB] Get: 234 http://deb.debian.org/debian trixie/main amd64 libstring-license-perl all 0.0.11-1 [34.7 kB] Get: 235 http://deb.debian.org/debian trixie/main amd64 licensecheck all 3.3.9-1 [50.1 kB] Get: 236 http://deb.debian.org/debian trixie/main amd64 diffstat amd64 1.67-1 [35.5 kB] Get: 237 http://deb.debian.org/debian trixie/main amd64 libassuan9 amd64 3.0.1-2 [60.6 kB] Get: 238 http://deb.debian.org/debian trixie/main amd64 libreadline8t64 amd64 8.2-5 [169 kB] Get: 239 http://deb.debian.org/debian trixie/main amd64 gpgconf amd64 2.2.45-2 [120 kB] Get: 240 http://deb.debian.org/debian trixie/main amd64 gpg amd64 2.2.45-2 [531 kB] Get: 241 http://deb.debian.org/debian trixie/main amd64 iso-codes all 4.17.0-1 [3055 kB] Get: 242 http://deb.debian.org/debian trixie/main amd64 libberkeleydb-perl amd64 0.66-1 [121 kB] Get: 243 http://deb.debian.org/debian trixie/main amd64 libclass-xsaccessor-perl amd64 1.19-4+b4 [36.1 kB] Get: 244 http://deb.debian.org/debian trixie/main amd64 libconfig-tiny-perl all 2.30-1 [18.9 kB] Get: 245 http://deb.debian.org/debian trixie/main amd64 libconst-fast-perl all 0.014-2 [8792 B] Get: 246 http://deb.debian.org/debian trixie/main amd64 libcpanel-json-xs-perl amd64 4.38-1+b1 [129 kB] Get: 247 http://deb.debian.org/debian trixie/main amd64 libaliased-perl all 0.34-3 [13.5 kB] Get: 248 http://deb.debian.org/debian trixie/main amd64 libclass-data-inheritable-perl all 0.10-1 [8632 B] Get: 249 http://deb.debian.org/debian trixie/main amd64 libdevel-stacktrace-perl all 2.0500-1 [26.4 kB] Get: 250 http://deb.debian.org/debian trixie/main amd64 libexception-class-perl all 1.45-1 [34.6 kB] Get: 251 http://deb.debian.org/debian trixie/main amd64 libiterator-perl all 0.03+ds1-2 [18.8 kB] Get: 252 http://deb.debian.org/debian trixie/main amd64 libiterator-util-perl all 0.02+ds1-2 [14.0 kB] Get: 253 http://deb.debian.org/debian trixie/main amd64 libdata-dpath-perl all 0.60-1 [41.8 kB] Get: 254 http://deb.debian.org/debian trixie/main amd64 libnet-domain-tld-perl all 1.75-4 [31.5 kB] Get: 255 http://deb.debian.org/debian trixie/main amd64 libdata-validate-domain-perl all 0.15-1 [11.9 kB] Get: 256 http://deb.debian.org/debian trixie/main amd64 libnet-ipv6addr-perl all 1.02-1 [21.7 kB] Get: 257 http://deb.debian.org/debian trixie/main amd64 libnet-netmask-perl all 2.0002-2 [28.6 kB] Get: 258 http://deb.debian.org/debian trixie/main amd64 libnetaddr-ip-perl amd64 4.079+dfsg-2+b4 [98.1 kB] Get: 259 http://deb.debian.org/debian trixie/main amd64 libdata-validate-ip-perl all 0.31-1 [20.6 kB] Get: 260 http://deb.debian.org/debian trixie/main amd64 libdata-validate-uri-perl all 0.07-3 [11.0 kB] Get: 261 http://deb.debian.org/debian trixie/main amd64 libdevel-size-perl amd64 0.84-1+b1 [24.2 kB] Get: 262 http://deb.debian.org/debian trixie/main amd64 libemail-address-xs-perl amd64 1.05-1+b4 [29.4 kB] Get: 263 http://deb.debian.org/debian trixie/main amd64 libipc-system-simple-perl all 1.30-2 [26.8 kB] Get: 264 http://deb.debian.org/debian trixie/main amd64 libfile-basedir-perl all 0.09-2 [15.1 kB] Get: 265 http://deb.debian.org/debian trixie/main amd64 libfile-find-rule-perl all 0.34-3 [26.6 kB] Get: 266 http://deb.debian.org/debian trixie/main amd64 libio-string-perl all 1.08-4 [12.1 kB] Get: 267 http://deb.debian.org/debian trixie/main amd64 libfont-ttf-perl all 1.06-2 [318 kB] Get: 268 http://deb.debian.org/debian trixie/main amd64 libhtml-html5-entities-perl all 0.004-3 [21.0 kB] Get: 269 http://deb.debian.org/debian trixie/main amd64 libhtml-tokeparser-simple-perl all 3.16-4 [39.1 kB] Get: 270 http://deb.debian.org/debian trixie/main amd64 libipc-run3-perl all 0.049-1 [31.5 kB] Get: 271 http://deb.debian.org/debian trixie/main amd64 libjson-maybexs-perl all 1.004008-1 [12.9 kB] Get: 272 http://deb.debian.org/debian trixie/main amd64 liblist-compare-perl all 0.55-2 [65.7 kB] Get: 273 http://deb.debian.org/debian trixie/main amd64 liblist-someutils-perl all 0.59-1 [37.1 kB] Get: 274 http://deb.debian.org/debian trixie/main amd64 liblist-utilsby-perl all 0.12-2 [15.5 kB] Get: 275 http://deb.debian.org/debian trixie/main amd64 libmldbm-perl all 2.05-4 [16.8 kB] Get: 276 http://deb.debian.org/debian trixie/main amd64 libclass-method-modifiers-perl all 2.15-1 [18.0 kB] Get: 277 http://deb.debian.org/debian trixie/main amd64 libimport-into-perl all 1.002005-2 [11.3 kB] Get: 278 http://deb.debian.org/debian trixie/main amd64 librole-tiny-perl all 2.002004-1 [21.4 kB] Get: 279 http://deb.debian.org/debian trixie/main amd64 libsub-quote-perl all 2.006008-1 [21.8 kB] Get: 280 http://deb.debian.org/debian trixie/main amd64 libmoo-perl all 2.005005-1 [58.0 kB] Get: 281 http://deb.debian.org/debian trixie/main amd64 libstrictures-perl all 2.000006-1 [18.6 kB] Get: 282 http://deb.debian.org/debian trixie/main amd64 libmoox-aliases-perl all 0.001006-2 [7156 B] Get: 283 http://deb.debian.org/debian trixie/main amd64 libperlio-gzip-perl amd64 0.20-1+b4 [17.5 kB] Get: 284 http://deb.debian.org/debian trixie/main amd64 libperlio-utf8-strict-perl amd64 0.010-1+b3 [11.4 kB] Get: 285 http://deb.debian.org/debian trixie/main amd64 libproc-processtable-perl amd64 0.636-1+b3 [42.3 kB] Get: 286 http://deb.debian.org/debian trixie/main amd64 libregexp-wildcards-perl all 1.05-3 [14.1 kB] Get: 287 http://deb.debian.org/debian trixie/main amd64 libsereal-decoder-perl amd64 5.004+ds-1+b3 [100 kB] Get: 288 http://deb.debian.org/debian trixie/main amd64 libsereal-encoder-perl amd64 5.004+ds-1+b3 [104 kB] Get: 289 http://deb.debian.org/debian trixie/main amd64 libterm-readkey-perl amd64 2.38-2+b4 [24.6 kB] Get: 290 http://deb.debian.org/debian trixie/main amd64 libtext-levenshteinxs-perl amd64 0.03-5+b4 [8720 B] Get: 291 http://deb.debian.org/debian trixie/main amd64 libmarkdown2 amd64 2.2.7-2.1 [36.0 kB] Get: 292 http://deb.debian.org/debian trixie/main amd64 libtext-markdown-discount-perl amd64 0.16-1+b3 [13.0 kB] Get: 293 http://deb.debian.org/debian trixie/main amd64 libdata-messagepack-perl amd64 1.02-1+b4 [32.8 kB] Get: 294 http://deb.debian.org/debian trixie/main amd64 libtext-xslate-perl amd64 3.5.9-2+b1 [174 kB] Get: 295 http://deb.debian.org/debian trixie/main amd64 libtime-duration-perl all 1.21-2 [13.1 kB] Get: 296 http://deb.debian.org/debian trixie/main amd64 libtime-moment-perl amd64 0.44-2+b4 [73.2 kB] Get: 297 http://deb.debian.org/debian trixie/main amd64 libunicode-utf8-perl amd64 0.62-2+b3 [20.4 kB] Get: 298 http://deb.debian.org/debian trixie/main amd64 libcgi-pm-perl all 4.66-1 [217 kB] Get: 299 http://deb.debian.org/debian trixie/main amd64 libhtml-form-perl all 6.12-1 [32.3 kB] Get: 300 http://deb.debian.org/debian trixie/main amd64 libwww-mechanize-perl all 2.19-1 [114 kB] Get: 301 http://deb.debian.org/debian trixie/main amd64 libxml-namespacesupport-perl all 1.12-2 [15.1 kB] Get: 302 http://deb.debian.org/debian trixie/main amd64 libxml-sax-base-perl all 1.09-3 [20.6 kB] Get: 303 http://deb.debian.org/debian trixie/main amd64 libxml-sax-perl all 1.02+dfsg-4 [53.4 kB] Get: 304 http://deb.debian.org/debian trixie/main amd64 libxml-libxml-perl amd64 2.0207+dfsg+really+2.0134-5+b1 [314 kB] Get: 305 http://deb.debian.org/debian trixie/main amd64 liblz1 amd64 1.15~pre2-1 [39.2 kB] Get: 306 http://deb.debian.org/debian trixie/main amd64 plzip amd64 1.11-2 [63.6 kB] Get: 307 http://deb.debian.org/debian trixie/main amd64 liblzo2-2 amd64 2.10-3+b1 [55.1 kB] Get: 308 http://deb.debian.org/debian trixie/main amd64 lzop amd64 1.04-2 [84.2 kB] Get: 309 http://deb.debian.org/debian trixie/main amd64 patchutils amd64 0.4.2-1 [77.5 kB] Get: 310 http://deb.debian.org/debian trixie/main amd64 t1utils amd64 1.41-4 [62.1 kB] Get: 311 http://deb.debian.org/debian trixie/main amd64 unzip amd64 6.0-28 [166 kB] Get: 312 http://deb.debian.org/debian trixie/main amd64 lintian all 2.120.0 [1058 kB] Get: 313 http://deb.debian.org/debian trixie/main amd64 libconfig-model-dpkg-perl all 3.005 [173 kB] Get: 314 http://deb.debian.org/debian trixie/main amd64 libconvert-binhex-perl all 1.125-3 [27.4 kB] Get: 315 http://deb.debian.org/debian trixie/main amd64 libnet-smtp-ssl-perl all 1.04-2 [6548 B] Get: 316 http://deb.debian.org/debian trixie/main amd64 libmailtools-perl all 2.22-1 [88.8 kB] Get: 317 http://deb.debian.org/debian trixie/main amd64 libmime-tools-perl all 5.515-1 [203 kB] Get: 318 http://deb.debian.org/debian trixie/main amd64 libsuitesparseconfig7 amd64 1:7.8.3+dfsg-2 [23.8 kB] Get: 319 http://deb.debian.org/debian trixie/main amd64 libamd3 amd64 1:7.8.3+dfsg-2 [40.7 kB] Get: 320 http://deb.debian.org/debian trixie/main amd64 libblas3 amd64 3.12.0-3+b1 [152 kB] Get: 321 http://deb.debian.org/debian trixie/main amd64 libgfortran5 amd64 14.2.0-8 [836 kB] Get: 322 http://deb.debian.org/debian trixie/main amd64 liblapack3 amd64 3.12.0-3+b1 [2450 kB] Get: 323 http://deb.debian.org/debian trixie/main amd64 libarpack2t64 amd64 3.9.1-1.1+b2 [104 kB] Get: 324 http://deb.debian.org/debian trixie/main amd64 libccolamd3 amd64 1:7.8.3+dfsg-2 [39.2 kB] Get: 325 http://deb.debian.org/debian trixie/main amd64 libcamd3 amd64 1:7.8.3+dfsg-2 [37.5 kB] Get: 326 http://deb.debian.org/debian trixie/main amd64 libcolamd3 amd64 1:7.8.3+dfsg-2 [32.5 kB] Get: 327 http://deb.debian.org/debian trixie/main amd64 libcholmod5 amd64 1:7.8.3+dfsg-2 [638 kB] Get: 328 http://deb.debian.org/debian trixie/main amd64 libcxsparse4 amd64 1:7.8.3+dfsg-2 [84.2 kB] Get: 329 http://deb.debian.org/debian trixie/main amd64 libfftw3-double3 amd64 3.3.10-1+b3 [780 kB] Get: 330 http://deb.debian.org/debian trixie/main amd64 libfftw3-single3 amd64 3.3.10-1+b3 [806 kB] Get: 331 http://deb.debian.org/debian trixie/main amd64 libxfixes3 amd64 1:6.0.0-2+b2 [20.3 kB] Get: 332 http://deb.debian.org/debian trixie/main amd64 libxcursor1 amd64 1:1.2.2-1+b1 [37.6 kB] Get: 333 http://deb.debian.org/debian trixie/main amd64 libxft2 amd64 2.3.6-1+b2 [54.5 kB] Get: 334 http://deb.debian.org/debian trixie/main amd64 libxinerama1 amd64 2:1.1.4-3+b2 [16.0 kB] Get: 335 http://deb.debian.org/debian trixie/main amd64 libfltk1.3t64 amd64 1.3.8-6.1+b1 [556 kB] Get: 336 http://deb.debian.org/debian trixie/main amd64 libglvnd0 amd64 1.7.0-1+b2 [52.0 kB] Get: 337 http://deb.debian.org/debian trixie/main amd64 libdrm-common all 2.4.123-1 [8084 B] Get: 338 http://deb.debian.org/debian trixie/main amd64 libdrm2 amd64 2.4.123-1 [38.7 kB] Get: 339 http://deb.debian.org/debian trixie/main amd64 libglapi-mesa amd64 24.2.7-1 [37.9 kB] Get: 340 http://deb.debian.org/debian trixie/main amd64 libx11-xcb1 amd64 2:1.8.10-2 [241 kB] Get: 341 http://deb.debian.org/debian trixie/main amd64 libxcb-dri2-0 amd64 1.17.0-2+b1 [107 kB] Get: 342 http://deb.debian.org/debian trixie/main amd64 libxcb-dri3-0 amd64 1.17.0-2+b1 [107 kB] Get: 343 http://deb.debian.org/debian trixie/main amd64 libxcb-glx0 amd64 1.17.0-2+b1 [122 kB] Get: 344 http://deb.debian.org/debian trixie/main amd64 libxcb-present0 amd64 1.17.0-2+b1 [106 kB] Get: 345 http://deb.debian.org/debian trixie/main amd64 libxcb-randr0 amd64 1.17.0-2+b1 [117 kB] Get: 346 http://deb.debian.org/debian trixie/main amd64 libxcb-sync1 amd64 1.17.0-2+b1 [109 kB] Get: 347 http://deb.debian.org/debian trixie/main amd64 libxcb-xfixes0 amd64 1.17.0-2+b1 [109 kB] Get: 348 http://deb.debian.org/debian trixie/main amd64 libxshmfence1 amd64 1.3-1+b2 [8848 B] Get: 349 http://deb.debian.org/debian trixie/main amd64 libxxf86vm1 amd64 1:1.1.4-1+b3 [19.3 kB] Get: 350 http://deb.debian.org/debian trixie/main amd64 libdrm-amdgpu1 amd64 2.4.123-1 [22.3 kB] Get: 351 http://deb.debian.org/debian trixie/main amd64 libpciaccess0 amd64 0.17-3+b2 [51.9 kB] Get: 352 http://deb.debian.org/debian trixie/main amd64 libdrm-intel1 amd64 2.4.123-1 [63.7 kB] Get: 353 http://deb.debian.org/debian trixie/main amd64 libdrm-radeon1 amd64 2.4.123-1 [22.3 kB] Get: 354 http://deb.debian.org/debian trixie/main amd64 libz3-4 amd64 4.13.3-1 [8560 kB] Get: 355 http://deb.debian.org/debian trixie/main amd64 libllvm19 amd64 1:19.1.3-2 [26.0 MB] Get: 356 http://deb.debian.org/debian trixie/main amd64 libsensors-config all 1:3.6.0-10 [14.6 kB] Get: 357 http://deb.debian.org/debian trixie/main amd64 libsensors5 amd64 1:3.6.0-10+b1 [35.1 kB] Get: 358 http://deb.debian.org/debian trixie/main amd64 mesa-libgallium amd64 24.2.7-1 [9186 kB] Get: 359 http://deb.debian.org/debian trixie/main amd64 libvulkan1 amd64 1.3.296.0-1 [126 kB] Get: 360 http://deb.debian.org/debian trixie/main amd64 libwayland-server0 amd64 1.23.0-1+b1 [34.2 kB] Get: 361 http://deb.debian.org/debian trixie/main amd64 libgbm1 amd64 24.2.7-1 [42.8 kB] Get: 362 http://deb.debian.org/debian trixie/main amd64 libgl1-mesa-dri amd64 24.2.7-1 [43.9 kB] Get: 363 http://deb.debian.org/debian trixie/main amd64 libglx-mesa0 amd64 24.2.7-1 [154 kB] Get: 364 http://deb.debian.org/debian trixie/main amd64 libglx0 amd64 1.7.0-1+b2 [34.9 kB] Get: 365 http://deb.debian.org/debian trixie/main amd64 libgl1 amd64 1.7.0-1+b2 [89.5 kB] Get: 366 http://deb.debian.org/debian trixie/main amd64 libfltk-gl1.3t64 amd64 1.3.8-6.1+b1 [63.0 kB] Get: 367 http://deb.debian.org/debian trixie/main amd64 libgl2ps1.4 amd64 1.4.2+dfsg1-2 [41.3 kB] Get: 368 http://deb.debian.org/debian trixie/main amd64 libltdl7 amd64 2.4.7-8 [393 kB] Get: 369 http://deb.debian.org/debian trixie/main amd64 libglpk40 amd64 5.0-1+b2 [401 kB] Get: 370 http://deb.debian.org/debian trixie/main amd64 libopengl0 amd64 1.7.0-1+b2 [30.9 kB] Get: 371 http://deb.debian.org/debian trixie/main amd64 libglu1-mesa amd64 9.0.2-1.1+b2 [185 kB] Get: 372 http://deb.debian.org/debian trixie/main amd64 libgif7 amd64 5.2.2-1+b1 [44.2 kB] Get: 373 http://deb.debian.org/debian trixie/main amd64 libhwy1t64 amd64 1.2.0-2+b1 [676 kB] Get: 374 http://deb.debian.org/debian trixie/main amd64 liblcms2-2 amd64 2.16-2 [160 kB] Get: 375 http://deb.debian.org/debian trixie/main amd64 libimath-3-1-29t64 amd64 3.1.12-1+b1 [42.0 kB] Get: 376 http://deb.debian.org/debian trixie/main amd64 libopenexr-3-1-30 amd64 3.1.5-5.1+b3 [934 kB] Get: 377 http://deb.debian.org/debian trixie/main amd64 libjxl0.9 amd64 0.9.2-10+b1 [1052 kB] Get: 378 http://deb.debian.org/debian trixie/main amd64 libwmflite-0.2-7 amd64 0.2.13-1.1+b3 [75.6 kB] Get: 379 http://deb.debian.org/debian trixie/main amd64 libgraphicsmagick-q16-3t64 amd64 1.4+really1.3.45-1+b1 [1229 kB] Get: 380 http://deb.debian.org/debian trixie/main amd64 libgraphicsmagick++-q16-12t64 amd64 1.4+really1.3.45-1+b1 [125 kB] Get: 381 http://deb.debian.org/debian trixie/main amd64 libcurl4t64 amd64 8.11.0-1 [351 kB] Get: 382 http://deb.debian.org/debian trixie/main amd64 libaec0 amd64 1.1.3-1+b1 [23.8 kB] Get: 383 http://deb.debian.org/debian trixie/main amd64 libsz2 amd64 1.1.3-1+b1 [8080 B] Get: 384 http://deb.debian.org/debian trixie/main amd64 libhdf5-103-1t64 amd64 1.10.10+repack-4 [1253 kB] Get: 385 http://deb.debian.org/debian trixie/main amd64 libasound2-data all 1.2.12-1 [21.0 kB] Get: 386 http://deb.debian.org/debian trixie/main amd64 libasound2t64 amd64 1.2.12-1+b1 [371 kB] Get: 387 http://deb.debian.org/debian trixie/main amd64 libopus0 amd64 1.5.2-2 [2852 kB] Get: 388 http://deb.debian.org/debian trixie/main amd64 libsamplerate0 amd64 0.2.2-4+b2 [950 kB] Get: 389 http://deb.debian.org/debian trixie/main amd64 libjack-jackd2-0 amd64 1.9.22~dfsg-3 [287 kB] Get: 390 http://deb.debian.org/debian trixie/main amd64 libportaudio2 amd64 19.6.0-1.2+b3 [64.8 kB] Get: 391 http://deb.debian.org/debian trixie/main amd64 libqhull-r8.0 amd64 2020.2-6+b2 [248 kB] Get: 392 http://deb.debian.org/debian trixie/main amd64 libqrupdate1 amd64 1.1.5-1 [39.9 kB] Get: 393 http://deb.debian.org/debian trixie/main amd64 libqscintilla2-qt6-l10n all 2.14.1+dfsg-1 [105 kB] Get: 394 http://deb.debian.org/debian trixie/main amd64 libb2-1 amd64 0.98.1-1.1+b2 [41.7 kB] Get: 395 http://deb.debian.org/debian trixie/main amd64 libdouble-conversion3 amd64 3.3.0-1+b2 [41.8 kB] Get: 396 http://deb.debian.org/debian trixie/main amd64 libpcre2-16-0 amd64 10.42-4+b2 [249 kB] Get: 397 http://deb.debian.org/debian trixie/main amd64 libqt6core6t64 amd64 6.7.2+dfsg-4 [1796 kB] Get: 398 http://deb.debian.org/debian trixie/main amd64 libwayland-client0 amd64 1.23.0-1+b1 [26.6 kB] Get: 399 http://deb.debian.org/debian trixie/main amd64 libegl-mesa0 amd64 24.2.7-1 [133 kB] Get: 400 http://deb.debian.org/debian trixie/main amd64 libegl1 amd64 1.7.0-1+b2 [34.6 kB] Get: 401 http://deb.debian.org/debian trixie/main amd64 x11-common all 1:7.7+23.1 [216 kB] Get: 402 http://deb.debian.org/debian trixie/main amd64 libice6 amd64 2:1.1.1-1 [65.4 kB] Get: 403 http://deb.debian.org/debian trixie/main amd64 libevdev2 amd64 1.13.3+dfsg-1 [32.2 kB] Get: 404 http://deb.debian.org/debian trixie/main amd64 libmtdev1t64 amd64 1.1.6-1.2+b1 [22.5 kB] Get: 405 http://deb.debian.org/debian trixie/main amd64 libgudev-1.0-0 amd64 238-5+b1 [14.8 kB] Get: 406 http://deb.debian.org/debian trixie/main amd64 libwacom-common all 2.13.0-1 [98.0 kB] Get: 407 http://deb.debian.org/debian trixie/main amd64 libwacom9 amd64 2.13.0-1 [24.0 kB] Get: 408 http://deb.debian.org/debian trixie/main amd64 libinput-bin amd64 1.26.2-1 [25.3 kB] Get: 409 http://deb.debian.org/debian trixie/main amd64 libinput10 amd64 1.26.2-1 [131 kB] Get: 410 http://deb.debian.org/debian trixie/main amd64 libmd4c0 amd64 0.5.2-2+b1 [49.0 kB] Get: 411 http://deb.debian.org/debian trixie/main amd64 libdbus-1-3 amd64 1.14.10-6 [203 kB] Get: 412 http://deb.debian.org/debian trixie/main amd64 libqt6dbus6 amd64 6.7.2+dfsg-4 [260 kB] Get: 413 http://deb.debian.org/debian trixie/main amd64 libsm6 amd64 2:1.2.4-1 [35.2 kB] Get: 414 http://deb.debian.org/debian trixie/main amd64 libts0t64 amd64 1.22-1.1+b1 [61.7 kB] Get: 415 http://deb.debian.org/debian trixie/main amd64 libxcb-util1 amd64 0.4.0-1+b2 [22.5 kB] Get: 416 http://deb.debian.org/debian trixie/main amd64 libxcb-image0 amd64 0.4.0-2+b2 [22.2 kB] Get: 417 http://deb.debian.org/debian trixie/main amd64 libxcb-render-util0 amd64 0.3.9-1+b2 [17.4 kB] Get: 418 http://deb.debian.org/debian trixie/main amd64 libxcb-cursor0 amd64 0.1.4-1+b2 [17.1 kB] Get: 419 http://deb.debian.org/debian trixie/main amd64 libxcb-icccm4 amd64 0.4.2-1 [27.5 kB] Get: 420 http://deb.debian.org/debian trixie/main amd64 libxcb-keysyms1 amd64 0.4.0-1+b3 [15.7 kB] Get: 421 http://deb.debian.org/debian trixie/main amd64 libxcb-shape0 amd64 1.17.0-2+b1 [106 kB] Get: 422 http://deb.debian.org/debian trixie/main amd64 libxcb-xinput0 amd64 1.17.0-2+b1 [130 kB] Get: 423 http://deb.debian.org/debian trixie/main amd64 libxcb-xkb1 amd64 1.17.0-2+b1 [130 kB] Get: 424 http://deb.debian.org/debian trixie/main amd64 xkb-data all 2.42-1 [790 kB] Get: 425 http://deb.debian.org/debian trixie/main amd64 libxkbcommon0 amd64 1.6.0-1+b2 [111 kB] Get: 426 http://deb.debian.org/debian trixie/main amd64 libxkbcommon-x11-0 amd64 1.6.0-1+b2 [16.3 kB] Get: 427 http://deb.debian.org/debian trixie/main amd64 libqt6gui6 amd64 6.7.2+dfsg-4 [3024 kB] Get: 428 http://deb.debian.org/debian trixie/main amd64 libavahi-common-data amd64 0.8-13+b3 [112 kB] Get: 429 http://deb.debian.org/debian trixie/main amd64 libavahi-common3 amd64 0.8-13+b3 [43.2 kB] Get: 430 http://deb.debian.org/debian trixie/main amd64 libavahi-client3 amd64 0.8-13+b3 [47.5 kB] Get: 431 http://deb.debian.org/debian trixie/main amd64 libcups2t64 amd64 2.4.10-2 [251 kB] Get: 432 http://deb.debian.org/debian trixie/main amd64 libqt6widgets6 amd64 6.7.2+dfsg-4 [2584 kB] Get: 433 http://deb.debian.org/debian trixie/main amd64 libqt6printsupport6 amd64 6.7.2+dfsg-4 [213 kB] Get: 434 http://deb.debian.org/debian trixie/main amd64 libqscintilla2-qt6-15 amd64 2.14.1+dfsg-1+b4 [1174 kB] Get: 435 http://deb.debian.org/debian trixie/main amd64 libqt6core5compat6 amd64 6.7.2-3 [135 kB] Get: 436 http://deb.debian.org/debian trixie/main amd64 libqt6sql6 amd64 6.7.2+dfsg-4 [138 kB] Get: 437 http://deb.debian.org/debian trixie/main amd64 libqt6help6 amd64 6.7.2-6 [180 kB] Get: 438 http://deb.debian.org/debian trixie/main amd64 libduktape207 amd64 2.7.0-2+b2 [135 kB] Get: 439 http://deb.debian.org/debian trixie/main amd64 libproxy1v5 amd64 0.5.9-1 [26.4 kB] Get: 440 http://deb.debian.org/debian trixie/main amd64 libqt6network6 amd64 6.7.2+dfsg-4 [766 kB] Get: 441 http://deb.debian.org/debian trixie/main amd64 libqt6opengl6 amd64 6.7.2+dfsg-4 [404 kB] Get: 442 http://deb.debian.org/debian trixie/main amd64 libqt6openglwidgets6 amd64 6.7.2+dfsg-4 [49.1 kB] Get: 443 http://deb.debian.org/debian trixie/main amd64 libqt6xml6 amd64 6.7.2+dfsg-4 [83.6 kB] Get: 444 http://deb.debian.org/debian trixie/main amd64 libogg0 amd64 1.3.5-3+b2 [23.8 kB] Get: 445 http://deb.debian.org/debian trixie/main amd64 libflac12t64 amd64 1.4.3+ds-2.1+b1 [201 kB] Get: 446 http://deb.debian.org/debian trixie/main amd64 libmp3lame0 amd64 3.100-6+b3 [363 kB] Get: 447 http://deb.debian.org/debian trixie/main amd64 libmpg123-0t64 amd64 1.32.9-1 [149 kB] Get: 448 http://deb.debian.org/debian trixie/main amd64 libvorbis0a amd64 1.3.7-2+b1 [91.1 kB] Get: 449 http://deb.debian.org/debian trixie/main amd64 libvorbisenc2 amd64 1.3.7-2+b1 [76.1 kB] Get: 450 http://deb.debian.org/debian trixie/main amd64 libsndfile1 amd64 1.2.2-1+b3 [199 kB] Get: 451 http://deb.debian.org/debian trixie/main amd64 libspqr4 amd64 1:7.8.3+dfsg-2 [146 kB] Get: 452 http://deb.debian.org/debian trixie/main amd64 libumfpack6 amd64 1:7.8.3+dfsg-2 [280 kB] Get: 453 http://deb.debian.org/debian trixie/main amd64 libtext-unidecode-perl all 1.30-3 [101 kB] Get: 454 http://deb.debian.org/debian trixie/main amd64 texinfo-lib amd64 7.1.1-1+b1 [232 kB] Get: 455 http://deb.debian.org/debian trixie/main amd64 tex-common all 6.18 [32.5 kB] Get: 456 http://deb.debian.org/debian trixie/main amd64 texinfo all 7.1.1-1 [1753 kB] Get: 457 http://deb.debian.org/debian trixie/main amd64 octave-common all 9.2.0-3 [6591 kB] Get: 458 http://deb.debian.org/debian trixie/main amd64 octave amd64 9.2.0-3+b1 [9721 kB] Get: 459 http://deb.debian.org/debian trixie/main amd64 libncurses6 amd64 6.5-2+b1 [105 kB] Get: 460 http://deb.debian.org/debian trixie/main amd64 libncurses-dev amd64 6.5-2+b1 [351 kB] Get: 461 http://deb.debian.org/debian trixie/main amd64 libreadline-dev amd64 8.2-5 [153 kB] Get: 462 http://deb.debian.org/debian trixie/main amd64 libhdf5-fortran-102t64 amd64 1.10.10+repack-4 [89.5 kB] Get: 463 http://deb.debian.org/debian trixie/main amd64 libhdf5-hl-100t64 amd64 1.10.10+repack-4 [63.9 kB] Get: 464 http://deb.debian.org/debian trixie/main amd64 libhdf5-hl-fortran-100t64 amd64 1.10.10+repack-4 [40.5 kB] Get: 465 http://deb.debian.org/debian trixie/main amd64 libhdf5-cpp-103-1t64 amd64 1.10.10+repack-4 [130 kB] Get: 466 http://deb.debian.org/debian trixie/main amd64 libhdf5-hl-cpp-100t64 amd64 1.10.10+repack-4 [21.4 kB] Get: 467 http://deb.debian.org/debian trixie/main amd64 zlib1g-dev amd64 1:1.3.dfsg+really1.3.1-1+b1 [920 kB] Get: 468 http://deb.debian.org/debian trixie/main amd64 libjpeg62-turbo-dev amd64 1:2.1.5-3+b1 [292 kB] Get: 469 http://deb.debian.org/debian trixie/main amd64 libjpeg-dev amd64 1:2.1.5-3+b1 [72.2 kB] Get: 470 http://deb.debian.org/debian trixie/main amd64 libaec-dev amd64 1.1.3-1+b1 [21.5 kB] Get: 471 http://deb.debian.org/debian trixie/main amd64 libbrotli-dev amd64 1.1.0-2+b6 [316 kB] Get: 472 http://deb.debian.org/debian trixie/main amd64 libidn2-dev amd64 2.3.7-2+b1 [123 kB] Get: 473 http://deb.debian.org/debian trixie/main amd64 libgssrpc4t64 amd64 1.21.3-3 [59.5 kB] Get: 474 http://deb.debian.org/debian trixie/main amd64 libkadm5clnt-mit12 amd64 1.21.3-3 [41.7 kB] Get: 475 http://deb.debian.org/debian trixie/main amd64 libkdb5-10t64 amd64 1.21.3-3 [42.0 kB] Get: 476 http://deb.debian.org/debian trixie/main amd64 libkadm5srv-mit12 amd64 1.21.3-3 [53.5 kB] Get: 477 http://deb.debian.org/debian trixie/main amd64 krb5-multidev amd64 1.21.3-3 [126 kB] Get: 478 http://deb.debian.org/debian trixie/main amd64 libkrb5-dev amd64 1.21.3-3 [15.7 kB] Get: 479 http://deb.debian.org/debian trixie/main amd64 libldap-dev amd64 2.5.18+dfsg-3+b1 [303 kB] Get: 480 http://deb.debian.org/debian trixie/main amd64 libpkgconf3 amd64 1.8.1-4 [36.4 kB] Get: 481 http://deb.debian.org/debian trixie/main amd64 pkgconf-bin amd64 1.8.1-4 [30.2 kB] Get: 482 http://deb.debian.org/debian trixie/main amd64 pkgconf amd64 1.8.1-4 [26.2 kB] Get: 483 http://deb.debian.org/debian trixie/main amd64 libnghttp2-dev amd64 1.64.0-1 [115 kB] Get: 484 http://deb.debian.org/debian trixie/main amd64 libpsl-dev amd64 0.21.2-1.1+b1 [77.6 kB] Get: 485 http://deb.debian.org/debian trixie/main amd64 libgmpxx4ldbl amd64 2:6.3.0+dfsg-2+b2 [329 kB] Get: 486 http://deb.debian.org/debian trixie/main amd64 libgmp-dev amd64 2:6.3.0+dfsg-2+b2 [642 kB] Get: 487 http://deb.debian.org/debian trixie/main amd64 libevent-2.1-7t64 amd64 2.1.12-stable-10+b1 [182 kB] Get: 488 http://deb.debian.org/debian trixie/main amd64 libunbound8 amd64 1.22.0-1 [598 kB] Get: 489 http://deb.debian.org/debian trixie/main amd64 libgnutls-dane0t64 amd64 3.8.8-2 [449 kB] Get: 490 http://deb.debian.org/debian trixie/main amd64 libgnutls-openssl27t64 amd64 3.8.8-2 [449 kB] Get: 491 http://deb.debian.org/debian trixie/main amd64 libp11-kit-dev amd64 0.25.5-2+b1 [208 kB] Get: 492 http://deb.debian.org/debian trixie/main amd64 libtasn1-6-dev amd64 4.19.0-3+b3 [98.9 kB] Get: 493 http://deb.debian.org/debian trixie/main amd64 nettle-dev amd64 3.10-1+b1 [1317 kB] Get: 494 http://deb.debian.org/debian trixie/main amd64 libgnutls28-dev amd64 3.8.8-2 [1391 kB] Get: 495 http://deb.debian.org/debian trixie/main amd64 librtmp-dev amd64 2.4+20151223.gitfa8646d.1-2+b5 [68.0 kB] Get: 496 http://deb.debian.org/debian trixie/main amd64 libssl-dev amd64 3.3.2-2 [2742 kB] Get: 497 http://deb.debian.org/debian trixie/main amd64 libssh2-1-dev amd64 1.11.1-1 [393 kB] Get: 498 http://deb.debian.org/debian trixie/main amd64 libzstd-dev amd64 1.5.6+dfsg-1+b1 [365 kB] Get: 499 http://deb.debian.org/debian trixie/main amd64 libcurl4-openssl-dev amd64 8.11.0-1 [461 kB] Get: 500 http://deb.debian.org/debian trixie/main amd64 hdf5-helpers amd64 1.10.10+repack-4 [23.5 kB] Get: 501 http://deb.debian.org/debian trixie/main amd64 libhdf5-dev amd64 1.10.10+repack-4 [2652 kB] Get: 502 http://deb.debian.org/debian trixie/main amd64 xorg-sgml-doctools all 1:1.11-1.1 [22.1 kB] Get: 503 http://deb.debian.org/debian trixie/main amd64 x11proto-dev all 2024.1-1 [603 kB] Get: 504 http://deb.debian.org/debian trixie/main amd64 libxau-dev amd64 1:1.0.11-1 [23.6 kB] Get: 505 http://deb.debian.org/debian trixie/main amd64 libxdmcp-dev amd64 1:1.1.5-1 [44.3 kB] Get: 506 http://deb.debian.org/debian trixie/main amd64 xtrans-dev all 1.4.0-1 [98.7 kB] Get: 507 http://deb.debian.org/debian trixie/main amd64 libxcb1-dev amd64 1.17.0-2+b1 [181 kB] Get: 508 http://deb.debian.org/debian trixie/main amd64 libx11-dev amd64 2:1.8.10-2 [891 kB] Get: 509 http://deb.debian.org/debian trixie/main amd64 libglx-dev amd64 1.7.0-1+b2 [15.8 kB] Get: 510 http://deb.debian.org/debian trixie/main amd64 libgl-dev amd64 1.7.0-1+b2 [101 kB] Get: 511 http://deb.debian.org/debian trixie/main amd64 libblas-dev amd64 3.12.0-3+b1 [161 kB] Get: 512 http://deb.debian.org/debian trixie/main amd64 liblapack-dev amd64 3.12.0-3+b1 [4990 kB] Get: 513 http://deb.debian.org/debian trixie/main amd64 libfftw3-long3 amd64 3.3.10-1+b3 [344 kB] Get: 514 http://deb.debian.org/debian trixie/main amd64 libfftw3-quad3 amd64 3.3.10-1+b3 [607 kB] Get: 515 http://deb.debian.org/debian trixie/main amd64 libfftw3-bin amd64 3.3.10-1+b3 [52.4 kB] Get: 516 http://deb.debian.org/debian trixie/main amd64 libfftw3-dev amd64 3.3.10-1+b3 [2124 kB] Get: 517 http://deb.debian.org/debian trixie/main amd64 libgfortran-14-dev amd64 14.2.0-8 [878 kB] Get: 518 http://deb.debian.org/debian trixie/main amd64 gfortran-14-x86-64-linux-gnu amd64 14.2.0-8 [11.7 MB] Get: 519 http://deb.debian.org/debian trixie/main amd64 gfortran-14 amd64 14.2.0-8 [12.2 kB] Get: 520 http://deb.debian.org/debian trixie/main amd64 gfortran-x86-64-linux-gnu amd64 4:14.2.0-1 [1284 B] Get: 521 http://deb.debian.org/debian trixie/main amd64 gfortran amd64 4:14.2.0-1 [1436 B] Get: 522 http://deb.debian.org/debian trixie/main amd64 octave-dev amd64 9.2.0-3+b1 [1001 kB] Get: 523 http://deb.debian.org/debian trixie/main amd64 dh-octave all 1.8.0 [22.7 kB] Fetched 201 MB in 6s (32.6 MB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package netbase. (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 ... 19969 files and directories currently installed.) Preparing to unpack .../000-netbase_6.4_all.deb ... Unpacking netbase (6.4) ... Selecting previously unselected package readline-common. Preparing to unpack .../001-readline-common_8.2-5_all.deb ... Unpacking readline-common (8.2-5) ... Selecting previously unselected package sensible-utils. Preparing to unpack .../002-sensible-utils_0.0.24_all.deb ... Unpacking sensible-utils (0.0.24) ... Selecting previously unselected package openssl. Preparing to unpack .../003-openssl_3.3.2-2_amd64.deb ... Unpacking openssl (3.3.2-2) ... Selecting previously unselected package ca-certificates. Preparing to unpack .../004-ca-certificates_20240203_all.deb ... Unpacking ca-certificates (20240203) ... Selecting previously unselected package libmagic-mgc. Preparing to unpack .../005-libmagic-mgc_1%3a5.45-3+b1_amd64.deb ... Unpacking libmagic-mgc (1:5.45-3+b1) ... Selecting previously unselected package libmagic1t64:amd64. Preparing to unpack .../006-libmagic1t64_1%3a5.45-3+b1_amd64.deb ... Unpacking libmagic1t64:amd64 (1:5.45-3+b1) ... Selecting previously unselected package file. Preparing to unpack .../007-file_1%3a5.45-3+b1_amd64.deb ... Unpacking file (1:5.45-3+b1) ... Selecting previously unselected package gettext-base. Preparing to unpack .../008-gettext-base_0.22.5-2_amd64.deb ... Unpacking gettext-base (0.22.5-2) ... Selecting previously unselected package libuchardet0:amd64. Preparing to unpack .../009-libuchardet0_0.0.8-1+b2_amd64.deb ... Unpacking libuchardet0:amd64 (0.0.8-1+b2) ... Selecting previously unselected package groff-base. Preparing to unpack .../010-groff-base_1.23.0-5_amd64.deb ... Unpacking groff-base (1.23.0-5) ... Selecting previously unselected package bsdextrautils. Preparing to unpack .../011-bsdextrautils_2.40.2-11_amd64.deb ... Unpacking bsdextrautils (2.40.2-11) ... Selecting previously unselected package libpipeline1:amd64. Preparing to unpack .../012-libpipeline1_1.5.8-1_amd64.deb ... Unpacking libpipeline1:amd64 (1.5.8-1) ... Selecting previously unselected package man-db. Preparing to unpack .../013-man-db_2.13.0-1_amd64.deb ... Unpacking man-db (2.13.0-1) ... Selecting previously unselected package ucf. Preparing to unpack .../014-ucf_3.0043+nmu1_all.deb ... Moving old data out of the way Unpacking ucf (3.0043+nmu1) ... Selecting previously unselected package aglfn. Preparing to unpack .../015-aglfn_1.7+git20191031.4036a9c-2_all.deb ... Unpacking aglfn (1.7+git20191031.4036a9c-2) ... Selecting previously unselected package libglib2.0-0t64:amd64. Preparing to unpack .../016-libglib2.0-0t64_2.82.2-2_amd64.deb ... Unpacking libglib2.0-0t64:amd64 (2.82.2-2) ... Selecting previously unselected package libicu72:amd64. Preparing to unpack .../017-libicu72_72.1-5+b1_amd64.deb ... Unpacking libicu72:amd64 (72.1-5+b1) ... Selecting previously unselected package libxml2:amd64. Preparing to unpack .../018-libxml2_2.12.7+dfsg+really2.9.14-0.2+b1_amd64.deb ... Unpacking libxml2:amd64 (2.12.7+dfsg+really2.9.14-0.2+b1) ... Selecting previously unselected package shared-mime-info. Preparing to unpack .../019-shared-mime-info_2.4-5+b1_amd64.deb ... Unpacking shared-mime-info (2.4-5+b1) ... Selecting previously unselected package libbrotli1:amd64. Preparing to unpack .../020-libbrotli1_1.1.0-2+b6_amd64.deb ... Unpacking libbrotli1:amd64 (1.1.0-2+b6) ... Selecting previously unselected package libkrb5support0:amd64. Preparing to unpack .../021-libkrb5support0_1.21.3-3_amd64.deb ... Unpacking libkrb5support0:amd64 (1.21.3-3) ... Selecting previously unselected package libcom-err2:amd64. Preparing to unpack .../022-libcom-err2_1.47.1-1+b1_amd64.deb ... Unpacking libcom-err2:amd64 (1.47.1-1+b1) ... Selecting previously unselected package libk5crypto3:amd64. Preparing to unpack .../023-libk5crypto3_1.21.3-3_amd64.deb ... Unpacking libk5crypto3:amd64 (1.21.3-3) ... Selecting previously unselected package libkeyutils1:amd64. Preparing to unpack .../024-libkeyutils1_1.6.3-4_amd64.deb ... Unpacking libkeyutils1:amd64 (1.6.3-4) ... Selecting previously unselected package libkrb5-3:amd64. Preparing to unpack .../025-libkrb5-3_1.21.3-3_amd64.deb ... Unpacking libkrb5-3:amd64 (1.21.3-3) ... Selecting previously unselected package libgssapi-krb5-2:amd64. Preparing to unpack .../026-libgssapi-krb5-2_1.21.3-3_amd64.deb ... Unpacking libgssapi-krb5-2:amd64 (1.21.3-3) ... Selecting previously unselected package libsasl2-modules-db:amd64. Preparing to unpack .../027-libsasl2-modules-db_2.1.28+dfsg1-8_amd64.deb ... Unpacking libsasl2-modules-db:amd64 (2.1.28+dfsg1-8) ... Selecting previously unselected package libsasl2-2:amd64. Preparing to unpack .../028-libsasl2-2_2.1.28+dfsg1-8_amd64.deb ... Unpacking libsasl2-2:amd64 (2.1.28+dfsg1-8) ... Selecting previously unselected package libldap-2.5-0:amd64. Preparing to unpack .../029-libldap-2.5-0_2.5.18+dfsg-3+b1_amd64.deb ... Unpacking libldap-2.5-0:amd64 (2.5.18+dfsg-3+b1) ... Selecting previously unselected package libnghttp2-14:amd64. Preparing to unpack .../030-libnghttp2-14_1.64.0-1_amd64.deb ... Unpacking libnghttp2-14:amd64 (1.64.0-1) ... Selecting previously unselected package libnghttp3-9:amd64. Preparing to unpack .../031-libnghttp3-9_1.4.0-1+b1_amd64.deb ... Unpacking libnghttp3-9:amd64 (1.4.0-1+b1) ... Selecting previously unselected package libngtcp2-16:amd64. Preparing to unpack .../032-libngtcp2-16_1.6.0-1_amd64.deb ... Unpacking libngtcp2-16:amd64 (1.6.0-1) ... Selecting previously unselected package libngtcp2-crypto-gnutls8:amd64. Preparing to unpack .../033-libngtcp2-crypto-gnutls8_1.6.0-1_amd64.deb ... Unpacking libngtcp2-crypto-gnutls8:amd64 (1.6.0-1) ... Selecting previously unselected package libpsl5t64:amd64. Preparing to unpack .../034-libpsl5t64_0.21.2-1.1+b1_amd64.deb ... Unpacking libpsl5t64:amd64 (0.21.2-1.1+b1) ... Selecting previously unselected package librtmp1:amd64. Preparing to unpack .../035-librtmp1_2.4+20151223.gitfa8646d.1-2+b5_amd64.deb ... Unpacking librtmp1:amd64 (2.4+20151223.gitfa8646d.1-2+b5) ... Selecting previously unselected package libssh2-1t64:amd64. Preparing to unpack .../036-libssh2-1t64_1.11.1-1_amd64.deb ... Unpacking libssh2-1t64:amd64 (1.11.1-1) ... Selecting previously unselected package libcurl3t64-gnutls:amd64. Preparing to unpack .../037-libcurl3t64-gnutls_8.11.0-1_amd64.deb ... Unpacking libcurl3t64-gnutls:amd64 (8.11.0-1) ... Selecting previously unselected package libstemmer0d:amd64. Preparing to unpack .../038-libstemmer0d_2.2.0-4+b2_amd64.deb ... Unpacking libstemmer0d:amd64 (2.2.0-4+b2) ... Selecting previously unselected package libxmlb2:amd64. Preparing to unpack .../039-libxmlb2_0.3.21-1_amd64.deb ... Unpacking libxmlb2:amd64 (0.3.21-1) ... Selecting previously unselected package libyaml-0-2:amd64. Preparing to unpack .../040-libyaml-0-2_0.2.5-1+b2_amd64.deb ... Unpacking libyaml-0-2:amd64 (0.2.5-1+b2) ... Selecting previously unselected package libappstream5:amd64. Preparing to unpack .../041-libappstream5_1.0.3-1+b1_amd64.deb ... Unpacking libappstream5:amd64 (1.0.3-1+b1) ... Selecting previously unselected package appstream. Preparing to unpack .../042-appstream_1.0.3-1+b1_amd64.deb ... Unpacking appstream (1.0.3-1+b1) ... Selecting previously unselected package m4. 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Selecting previously unselected package libfeature-compat-class-perl. Preparing to unpack .../211-libfeature-compat-class-perl_0.07-1_all.deb ... Unpacking libfeature-compat-class-perl (0.07-1) ... Selecting previously unselected package libsyntax-keyword-try-perl. Preparing to unpack .../212-libsyntax-keyword-try-perl_0.30-1+b1_amd64.deb ... Unpacking libsyntax-keyword-try-perl (0.30-1+b1) ... Selecting previously unselected package libfeature-compat-try-perl. Preparing to unpack .../213-libfeature-compat-try-perl_0.05-1_all.deb ... Unpacking libfeature-compat-try-perl (0.05-1) ... Selecting previously unselected package libio-interactive-perl. Preparing to unpack .../214-libio-interactive-perl_1.025-1_all.deb ... Unpacking libio-interactive-perl (1.025-1) ... Selecting previously unselected package liblog-any-perl. Preparing to unpack .../215-liblog-any-perl_1.717-1_all.deb ... Unpacking liblog-any-perl (1.717-1) ... Selecting previously unselected package liblog-any-adapter-screen-perl. Preparing to unpack .../216-liblog-any-adapter-screen-perl_0.141-1_all.deb ... Unpacking liblog-any-adapter-screen-perl (0.141-1) ... Selecting previously unselected package libsub-exporter-progressive-perl. Preparing to unpack .../217-libsub-exporter-progressive-perl_0.001013-3_all.deb ... Unpacking libsub-exporter-progressive-perl (0.001013-3) ... Selecting previously unselected package libvariable-magic-perl. Preparing to unpack .../218-libvariable-magic-perl_0.64-1+b1_amd64.deb ... Unpacking libvariable-magic-perl (0.64-1+b1) ... Selecting previously unselected package libb-hooks-endofscope-perl. Preparing to unpack .../219-libb-hooks-endofscope-perl_0.28-1_all.deb ... Unpacking libb-hooks-endofscope-perl (0.28-1) ... Selecting previously unselected package libsub-identify-perl. Preparing to unpack .../220-libsub-identify-perl_0.14-3+b3_amd64.deb ... Unpacking libsub-identify-perl (0.14-3+b3) ... Selecting previously unselected package libsub-name-perl:amd64. Preparing to unpack .../221-libsub-name-perl_0.27-1+b3_amd64.deb ... Unpacking libsub-name-perl:amd64 (0.27-1+b3) ... Selecting previously unselected package libnamespace-clean-perl. Preparing to unpack .../222-libnamespace-clean-perl_0.27-2_all.deb ... Unpacking libnamespace-clean-perl (0.27-2) ... Selecting previously unselected package libnumber-compare-perl. Preparing to unpack .../223-libnumber-compare-perl_0.03-3_all.deb ... Unpacking libnumber-compare-perl (0.03-3) ... Selecting previously unselected package libtext-glob-perl. Preparing to unpack .../224-libtext-glob-perl_0.11-3_all.deb ... Unpacking libtext-glob-perl (0.11-3) ... Selecting previously unselected package libpath-iterator-rule-perl. Preparing to unpack .../225-libpath-iterator-rule-perl_1.015-2_all.deb ... Unpacking libpath-iterator-rule-perl (1.015-2) ... Selecting previously unselected package libpod-parser-perl. Preparing to unpack .../226-libpod-parser-perl_1.67-1_all.deb ... Adding 'diversion of /usr/bin/podselect to /usr/bin/podselect.bundled by libpod-parser-perl' Adding 'diversion of /usr/share/man/man1/podselect.1.gz to /usr/share/man/man1/podselect.bundled.1.gz by libpod-parser-perl' Unpacking libpod-parser-perl (1.67-1) ... Selecting previously unselected package libpod-constants-perl. Preparing to unpack .../227-libpod-constants-perl_0.19-2_all.deb ... Unpacking libpod-constants-perl (0.19-2) ... Selecting previously unselected package libset-intspan-perl. Preparing to unpack .../228-libset-intspan-perl_1.19-3_all.deb ... Unpacking libset-intspan-perl (1.19-3) ... Selecting previously unselected package libstring-copyright-perl. Preparing to unpack .../229-libstring-copyright-perl_0.003014-1_all.deb ... Unpacking libstring-copyright-perl (0.003014-1) ... Selecting previously unselected package libstring-escape-perl. Preparing to unpack .../230-libstring-escape-perl_2010.002-3_all.deb ... Unpacking libstring-escape-perl (2010.002-3) ... Selecting previously unselected package libregexp-pattern-license-perl. Preparing to unpack .../231-libregexp-pattern-license-perl_3.11.2-1_all.deb ... Unpacking libregexp-pattern-license-perl (3.11.2-1) ... Selecting previously unselected package libregexp-pattern-perl. Preparing to unpack .../232-libregexp-pattern-perl_0.2.14-2_all.deb ... Unpacking libregexp-pattern-perl (0.2.14-2) ... Selecting previously unselected package libstring-license-perl. Preparing to unpack .../233-libstring-license-perl_0.0.11-1_all.deb ... Unpacking libstring-license-perl (0.0.11-1) ... Selecting previously unselected package licensecheck. Preparing to unpack .../234-licensecheck_3.3.9-1_all.deb ... Unpacking licensecheck (3.3.9-1) ... Selecting previously unselected package diffstat. Preparing to unpack .../235-diffstat_1.67-1_amd64.deb ... Unpacking diffstat (1.67-1) ... Selecting previously unselected package libassuan9:amd64. Preparing to unpack .../236-libassuan9_3.0.1-2_amd64.deb ... Unpacking libassuan9:amd64 (3.0.1-2) ... Selecting previously unselected package libreadline8t64:amd64. Preparing to unpack .../237-libreadline8t64_8.2-5_amd64.deb ... Adding 'diversion of /lib/x86_64-linux-gnu/libhistory.so.8 to /lib/x86_64-linux-gnu/libhistory.so.8.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/x86_64-linux-gnu/libhistory.so.8.2 to /lib/x86_64-linux-gnu/libhistory.so.8.2.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/x86_64-linux-gnu/libreadline.so.8 to /lib/x86_64-linux-gnu/libreadline.so.8.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/x86_64-linux-gnu/libreadline.so.8.2 to /lib/x86_64-linux-gnu/libreadline.so.8.2.usr-is-merged by libreadline8t64' Unpacking libreadline8t64:amd64 (8.2-5) ... Selecting previously unselected package gpgconf. Preparing to unpack .../238-gpgconf_2.2.45-2_amd64.deb ... Unpacking gpgconf (2.2.45-2) ... Selecting previously unselected package gpg. Preparing to unpack .../239-gpg_2.2.45-2_amd64.deb ... Unpacking gpg (2.2.45-2) ... Selecting previously unselected package iso-codes. Preparing to unpack .../240-iso-codes_4.17.0-1_all.deb ... Unpacking iso-codes (4.17.0-1) ... Selecting previously unselected package libberkeleydb-perl:amd64. Preparing to unpack .../241-libberkeleydb-perl_0.66-1_amd64.deb ... Unpacking libberkeleydb-perl:amd64 (0.66-1) ... Selecting previously unselected package libclass-xsaccessor-perl. Preparing to unpack .../242-libclass-xsaccessor-perl_1.19-4+b4_amd64.deb ... Unpacking libclass-xsaccessor-perl (1.19-4+b4) ... Selecting previously unselected package libconfig-tiny-perl. Preparing to unpack .../243-libconfig-tiny-perl_2.30-1_all.deb ... Unpacking libconfig-tiny-perl (2.30-1) ... Selecting previously unselected package libconst-fast-perl. Preparing to unpack .../244-libconst-fast-perl_0.014-2_all.deb ... Unpacking libconst-fast-perl (0.014-2) ... Selecting previously unselected package libcpanel-json-xs-perl:amd64. Preparing to unpack .../245-libcpanel-json-xs-perl_4.38-1+b1_amd64.deb ... Unpacking libcpanel-json-xs-perl:amd64 (4.38-1+b1) ... Selecting previously unselected package libaliased-perl. Preparing to unpack .../246-libaliased-perl_0.34-3_all.deb ... Unpacking libaliased-perl (0.34-3) ... Selecting previously unselected package libclass-data-inheritable-perl. Preparing to unpack .../247-libclass-data-inheritable-perl_0.10-1_all.deb ... Unpacking libclass-data-inheritable-perl (0.10-1) ... Selecting previously unselected package libdevel-stacktrace-perl. Preparing to unpack .../248-libdevel-stacktrace-perl_2.0500-1_all.deb ... Unpacking libdevel-stacktrace-perl (2.0500-1) ... Selecting previously unselected package libexception-class-perl. Preparing to unpack .../249-libexception-class-perl_1.45-1_all.deb ... Unpacking libexception-class-perl (1.45-1) ... Selecting previously unselected package libiterator-perl. Preparing to unpack .../250-libiterator-perl_0.03+ds1-2_all.deb ... Unpacking libiterator-perl (0.03+ds1-2) ... Selecting previously unselected package libiterator-util-perl. Preparing to unpack .../251-libiterator-util-perl_0.02+ds1-2_all.deb ... Unpacking libiterator-util-perl (0.02+ds1-2) ... Selecting previously unselected package libdata-dpath-perl. Preparing to unpack .../252-libdata-dpath-perl_0.60-1_all.deb ... Unpacking libdata-dpath-perl (0.60-1) ... Selecting previously unselected package libnet-domain-tld-perl. Preparing to unpack .../253-libnet-domain-tld-perl_1.75-4_all.deb ... Unpacking libnet-domain-tld-perl (1.75-4) ... Selecting previously unselected package libdata-validate-domain-perl. Preparing to unpack .../254-libdata-validate-domain-perl_0.15-1_all.deb ... Unpacking libdata-validate-domain-perl (0.15-1) ... Selecting previously unselected package libnet-ipv6addr-perl. Preparing to unpack .../255-libnet-ipv6addr-perl_1.02-1_all.deb ... Unpacking libnet-ipv6addr-perl (1.02-1) ... Selecting previously unselected package libnet-netmask-perl. Preparing to unpack .../256-libnet-netmask-perl_2.0002-2_all.deb ... Unpacking libnet-netmask-perl (2.0002-2) ... Selecting previously unselected package libnetaddr-ip-perl. Preparing to unpack .../257-libnetaddr-ip-perl_4.079+dfsg-2+b4_amd64.deb ... Unpacking libnetaddr-ip-perl (4.079+dfsg-2+b4) ... Selecting previously unselected package libdata-validate-ip-perl. Preparing to unpack .../258-libdata-validate-ip-perl_0.31-1_all.deb ... Unpacking libdata-validate-ip-perl (0.31-1) ... Selecting previously unselected package libdata-validate-uri-perl. Preparing to unpack .../259-libdata-validate-uri-perl_0.07-3_all.deb ... Unpacking libdata-validate-uri-perl (0.07-3) ... Selecting previously unselected package libdevel-size-perl. Preparing to unpack .../260-libdevel-size-perl_0.84-1+b1_amd64.deb ... Unpacking libdevel-size-perl (0.84-1+b1) ... Selecting previously unselected package libemail-address-xs-perl. Preparing to unpack .../261-libemail-address-xs-perl_1.05-1+b4_amd64.deb ... Unpacking libemail-address-xs-perl (1.05-1+b4) ... Selecting previously unselected package libipc-system-simple-perl. Preparing to unpack .../262-libipc-system-simple-perl_1.30-2_all.deb ... Unpacking libipc-system-simple-perl (1.30-2) ... Selecting previously unselected package libfile-basedir-perl. Preparing to unpack .../263-libfile-basedir-perl_0.09-2_all.deb ... Unpacking libfile-basedir-perl (0.09-2) ... Selecting previously unselected package libfile-find-rule-perl. Preparing to unpack .../264-libfile-find-rule-perl_0.34-3_all.deb ... Unpacking libfile-find-rule-perl (0.34-3) ... Selecting previously unselected package libio-string-perl. Preparing to unpack .../265-libio-string-perl_1.08-4_all.deb ... Unpacking libio-string-perl (1.08-4) ... Selecting previously unselected package libfont-ttf-perl. Preparing to unpack .../266-libfont-ttf-perl_1.06-2_all.deb ... Unpacking libfont-ttf-perl (1.06-2) ... Selecting previously unselected package libhtml-html5-entities-perl. Preparing to unpack .../267-libhtml-html5-entities-perl_0.004-3_all.deb ... Unpacking libhtml-html5-entities-perl (0.004-3) ... Selecting previously unselected package libhtml-tokeparser-simple-perl. Preparing to unpack .../268-libhtml-tokeparser-simple-perl_3.16-4_all.deb ... Unpacking libhtml-tokeparser-simple-perl (3.16-4) ... Selecting previously unselected package libipc-run3-perl. Preparing to unpack .../269-libipc-run3-perl_0.049-1_all.deb ... Unpacking libipc-run3-perl (0.049-1) ... Selecting previously unselected package libjson-maybexs-perl. Preparing to unpack .../270-libjson-maybexs-perl_1.004008-1_all.deb ... Unpacking libjson-maybexs-perl (1.004008-1) ... Selecting previously unselected package liblist-compare-perl. 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Setting up plzip (1.11-2) ... update-alternatives: using /usr/bin/lzip.plzip to provide /usr/bin/lzip (lzip) in auto mode update-alternatives: using /usr/bin/lzip.plzip to provide /usr/bin/lzip-compressor (lzip-compressor) in auto mode update-alternatives: using /usr/bin/lzip.plzip to provide /usr/bin/lzip-decompressor (lzip-decompressor) in auto mode Setting up libsharpyuv0:amd64 (1.4.0-0.1+b1) ... Setting up libwayland-server0:amd64 (1.23.0-1+b1) ... Setting up libaom3:amd64 (3.11.0-1) ... Setting up libpciaccess0:amd64 (0.17-3+b2) ... Setting up libfile-which-perl (1.27-2) ... Setting up libxau6:amd64 (1:1.0.11-1) ... Setting up libxdmcp6:amd64 (1:1.1.5-1) ... Setting up libdouble-conversion3:amd64 (3.3.0-1+b2) ... Setting up libkeyutils1:amd64 (1.6.3-4) ... Setting up libxcb1:amd64 (1.17.0-2+b1) ... Setting up libunicode-utf8-perl (0.62-2+b3) ... Setting up libfftw3-single3:amd64 (3.3.10-1+b3) ... Setting up libset-intspan-perl (1.19-3) ... 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Setting up libglib2.0-0t64:amd64 (2.82.2-2) ... No schema files found: doing nothing. Setting up libblas3:amd64 (3.12.0-3+b1) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so.3 to provide /usr/lib/x86_64-linux-gnu/libblas.so.3 (libblas.so.3-x86_64-linux-gnu) in auto mode Setting up libclass-data-inheritable-perl (0.10-1) ... Setting up libunbound8:amd64 (1.22.0-1) ... Setting up libpkgconf3:amd64 (1.8.1-4) ... Setting up libgmpxx4ldbl:amd64 (2:6.3.0+dfsg-2+b2) ... Setting up libalgorithm-c3-perl (0.11-2) ... Setting up libasound2t64:amd64 (1.2.12-1+b1) ... Setting up liblog-log4perl-perl (1.57-1) ... Setting up libtext-reform-perl (1.20-5) ... Setting up libjpeg62-turbo:amd64 (1:2.1.5-3+b1) ... Setting up libgnutls-dane0t64:amd64 (3.8.8-2) ... Setting up libx11-data (2:1.8.10-2) ... Setting up libsvtav1enc2:amd64 (2.2.1+dfsg-2) ... Setting up libjpeg62-turbo-dev:amd64 (1:2.1.5-3+b1) ... Setting up libfile-find-rule-perl (0.34-3) ... 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Setting up libimath-3-1-29t64:amd64 (3.1.12-1+b1) ... Setting up libvorbis0a:amd64 (1.3.7-2+b1) ... Setting up libvariable-magic-perl (0.64-1+b1) ... Setting up libio-html-perl (1.004-3) ... Setting up libtext-template-perl (1.61-1) ... Setting up libpod-parser-perl (1.67-1) ... Setting up autopoint (0.22.5-2) ... Setting up libb-hooks-op-check-perl:amd64 (0.22-3+b2) ... Setting up fonts-dejavu-core (2.37-8) ... Setting up liblist-moreutils-xs-perl (0.430-4+b2) ... Setting up pkgconf-bin (1.8.1-4) ... Setting up libsensors5:amd64 (1:3.6.0-10+b1) ... Setting up libk5crypto3:amd64 (1.21.3-3) ... Setting up libqscintilla2-qt6-l10n (2.14.1+dfsg-1) ... Setting up libltdl7:amd64 (2.4.7-8) ... Setting up libidn2-dev:amd64 (2.3.7-2+b1) ... Setting up libfftw3-double3:amd64 (3.3.10-1+b3) ... Setting up libglapi-mesa:amd64 (24.2.7-1) ... Setting up libparams-util-perl (1.102-3+b1) ... Setting up libsasl2-2:amd64 (2.1.28+dfsg1-8) ... Setting up libgfortran5:amd64 (14.2.0-8) ... Setting up libvulkan1:amd64 (1.3.296.0-1) ... Setting up libtime-duration-perl (1.21-2) ... Setting up autoconf (2.72-3) ... Setting up libtext-xslate-perl:amd64 (3.5.9-2+b1) ... Setting up libnghttp3-9:amd64 (1.4.0-1+b1) ... Setting up libsub-exporter-progressive-perl (0.001013-3) ... Setting up libwebp7:amd64 (1.4.0-0.1+b1) ... Setting up libarray-intspan-perl (2.004-2) ... Setting up libcapture-tiny-perl (0.48-2) ... Setting up libtimedate-perl (2.3300-2) ... Setting up libexporter-lite-perl (0.09-2) ... Setting up libxcb-dri2-0:amd64 (1.17.0-2+b1) ... Setting up libsub-name-perl:amd64 (0.27-1+b3) ... Setting up libgif7:amd64 (5.2.2-1+b1) ... Setting up zlib1g-dev:amd64 (1:1.3.dfsg+really1.3.1-1+b1) ... Setting up dwz (0.15-1+b1) ... Setting up libdata-validate-domain-perl (0.15-1) ... Setting up libproc-processtable-perl:amd64 (0.636-1+b3) ... Setting up libparse-recdescent-perl (1.967015+dfsg-4) ... Setting up libdav1d7:amd64 (1.5.0-1+b1) ... Setting up libmtdev1t64:amd64 (1.1.6-1.2+b1) ... Setting up sensible-utils (0.0.24) ... Setting up libduktape207:amd64 (2.7.0-2+b2) ... Setting up libxshmfence1:amd64 (1.3-1+b2) ... Setting up libtiff6:amd64 (4.5.1+git230720-5) ... Setting up libxcb-randr0:amd64 (1.17.0-2+b1) ... Setting up librav1e0.7:amd64 (0.7.1-7+b2) ... Setting up libpath-tiny-perl (0.146-1) ... Setting up libuchardet0:amd64 (0.0.8-1+b2) ... Setting up lzop (1.04-2) ... Setting up libassuan9:amd64 (3.0.1-2) ... Setting up libjson-perl (4.10000-1) ... Setting up liblog-any-adapter-screen-perl (0.141-1) ... Setting up librole-tiny-perl (2.002004-1) ... Setting up libipc-run3-perl (0.049-1) ... Setting up libmd4c0:amd64 (0.5.2-2+b1) ... Setting up libregexp-wildcards-perl (1.05-3) ... Setting up libmousex-strictconstructor-perl (0.02-3) ... Setting up libfile-sharedir-perl (1.118-3) ... Setting up libsub-uplevel-perl (0.2800-3) ... Setting up libsuitesparseconfig7:amd64 (1:7.8.3+dfsg-2) ... Setting up liblua5.4-0:amd64 (5.4.6-3+b2) ... Setting up libx11-6:amd64 (2:1.8.10-2) ... Setting up libaliased-perl (0.34-3) ... Setting up libthai-data (0.1.29-2) ... Setting up xorg-sgml-doctools (1:1.11-1.1) ... Setting up netbase (6.4) ... Setting up libabsl20230802:amd64 (20230802.1-4) ... Setting up libngtcp2-16:amd64 (1.6.0-1) ... Setting up libstrictures-perl (2.000006-1) ... Setting up libsub-quote-perl (2.006008-1) ... Setting up libdevel-stacktrace-perl (2.0500-1) ... Setting up libclass-xsaccessor-perl (1.19-4+b4) ... Setting up libtext-autoformat-perl (1.750000-2) ... Setting up libkrb5-3:amd64 (1.21.3-3) ... Setting up libglu1-mesa:amd64 (9.0.2-1.1+b2) ... Setting up libflac12t64:amd64 (1.4.3+ds-2.1+b1) ... Setting up libtoml-tiny-perl (0.18-1) ... Setting up libstemmer0d:amd64 (2.2.0-4+b2) ... Setting up libsort-versions-perl (1.62-3) ... Setting up libssh2-1t64:amd64 (1.11.1-1) ... Setting up libexporter-tiny-perl (1.006002-1) ... Setting up libterm-readkey-perl (2.38-2+b4) ... Setting up libtext-unidecode-perl (1.30-3) ... Setting up libde265-0:amd64 (1.0.15-1+b2) ... Setting up libfont-ttf-perl (1.06-2) ... Setting up libfile-homedir-perl (1.006-2) ... Setting up libsamplerate0:amd64 (0.2.2-4+b2) ... Setting up libtasn1-6-dev:amd64 (4.19.0-3+b3) ... Setting up openssl (3.3.2-2) ... Setting up libwebpmux3:amd64 (1.4.0-0.1+b1) ... Setting up libtext-levenshteinxs-perl (0.03-5+b4) ... Setting up libperlio-gzip-perl (0.20-1+b4) ... Setting up libdrm-common (2.4.123-1) ... Setting up libyuv0:amd64 (0.0.1897.20241115-1) ... Setting up libevdev2:amd64 (1.13.3+dfsg-1) ... Setting up readline-common (8.2-5) ... Setting up libxml2:amd64 (2.12.7+dfsg+really2.9.14-0.2+b1) ... Setting up libhtml-html5-entities-perl (0.004-3) ... Setting up libtext-levenshtein-damerau-perl (0.41-3) ... Setting up libsereal-decoder-perl (5.004+ds-1+b3) ... Setting up libmarkdown2:amd64 (2.2.7-2.1) ... Setting up liburi-perl (5.30-1) ... Setting up iso-codes (4.17.0-1) ... Setting up libnet-ipv6addr-perl (1.02-1) ... Setting up libbrotli-dev:amd64 (1.1.0-2+b6) ... Setting up libgudev-1.0-0:amd64 (238-5+b1) ... Setting up libngtcp2-crypto-gnutls8:amd64 (1.6.0-1) ... Setting up libp11-kit-dev:amd64 (0.25.5-2+b1) ... Setting up libmp3lame0:amd64 (3.100-6+b3) ... Setting up libblas-dev:amd64 (3.12.0-3+b1) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so to provide /usr/lib/x86_64-linux-gnu/libblas.so (libblas.so-x86_64-linux-gnu) in auto mode Setting up libsz2:amd64 (1.1.3-1+b1) ... Setting up libvorbisenc2:amd64 (1.3.7-2+b1) ... Setting up libdata-validate-ip-perl (0.31-1) ... Setting up libwacom-common (2.13.0-1) ... Setting up libmousex-nativetraits-perl (1.09-3) ... Setting up libemail-address-xs-perl (1.05-1+b4) ... Setting up libxkbcommon0:amd64 (1.6.0-1+b2) ... Setting up libwayland-client0:amd64 (1.23.0-1+b1) ... Setting up libnet-ssleay-perl:amd64 (1.94-2) ... Setting up automake (1:1.16.5-1.3) ... update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode Setting up libgfortran-14-dev:amd64 (14.2.0-8) ... Setting up x11proto-dev (2024.1-1) ... Setting up libfile-stripnondeterminism-perl (1.14.0-1) ... Setting up libxcb-dri3-0:amd64 (1.17.0-2+b1) ... Setting up gnuplot-data (6.0.0+dfsg1-3) ... Setting up libllvm19:amd64 (1:19.1.3-2) ... Setting up libx11-xcb1:amd64 (2:1.8.10-2) ... Setting up libice6:amd64 (2:1.1.1-1) ... Setting up libhttp-date-perl (6.06-1) ... Setting up liblapack3:amd64 (3.12.0-3+b1) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/x86_64-linux-gnu/liblapack.so.3 (liblapack.so.3-x86_64-linux-gnu) in auto mode Setting up libncurses-dev:amd64 (6.5-2+b1) ... Setting up libfile-basedir-perl (0.09-2) ... Setting up gettext (0.22.5-2) ... Setting up libarpack2t64:amd64 (3.9.1-1.1+b2) ... Setting up libgmp-dev:amd64 (2:6.3.0+dfsg-2+b2) ... Setting up libamd3:amd64 (1:7.8.3+dfsg-2) ... Setting up libfile-listing-perl (6.16-1) ... Setting up libxau-dev:amd64 (1:1.0.11-1) ... Setting up libxpm4:amd64 (1:3.5.17-1+b2) ... Setting up nettle-dev:amd64 (3.10-1+b1) ... Setting up libxrender1:amd64 (1:0.9.10-1.1+b2) ... Setting up libtool (2.4.7-8) ... Setting up libcolamd3:amd64 (1:7.8.3+dfsg-2) ... Setting up libfftw3-bin (3.3.10-1+b3) ... Setting up libwacom9:amd64 (2.13.0-1) ... Setting up fontconfig-config (2.15.0-1.1+b1) ... Setting up liblist-moreutils-perl (0.430-2) ... Setting up libxmlb2:amd64 (0.3.21-1) ... Setting up libpod-constants-perl (0.19-2) ... Setting up libhash-merge-perl (0.302-1) ... Setting up libsoftware-copyright-perl (0.012-2) ... Setting up libaec-dev:amd64 (1.1.3-1+b1) ... Setting up libavahi-common3:amd64 (0.8-13+b3) ... Setting up libcxsparse4:amd64 (1:7.8.3+dfsg-2) ... Setting up libjpeg-dev:amd64 (1:2.1.5-3+b1) ... Setting up libxext6:amd64 (2:1.3.4-1+b2) ... Setting up libnet-http-perl (6.23-1) ... Setting up libpath-iterator-rule-perl (1.015-2) ... Setting up libtext-markdown-discount-perl (0.16-1+b3) ... Setting up libexception-class-perl (1.45-1) ... Setting up libclass-c3-perl (0.35-2) ... Setting up libqrupdate1:amd64 (1.1.5-1) ... Setting up libdevel-callchecker-perl:amd64 (0.009-1+b1) ... Setting up libldap-2.5-0:amd64 (2.5.18+dfsg-3+b1) ... Setting up libcamd3:amd64 (1:7.8.3+dfsg-2) ... Setting up gfortran-14-x86-64-linux-gnu (14.2.0-8) ... Setting up pkgconf:amd64 (1.8.1-4) ... Setting up libxxf86vm1:amd64 (1:1.1.4-1+b3) ... Setting up libinput-bin (1.26.2-1) ... Setting up libxs-parse-sublike-perl:amd64 (0.30-1) ... Setting up intltool-debian (0.35.0+20060710.6) ... Setting up dh-autoreconf (20) ... Setting up patchutils (0.4.2-1) ... Setting up libthai0:amd64 (0.1.29-2+b1) ... Setting up ca-certificates (20240203) ... Updating certificates in /etc/ssl/certs... 146 added, 0 removed; done. Setting up libxdmcp-dev:amd64 (1:1.1.5-1) ... Setting up libdata-validate-uri-perl (0.07-3) ... Setting up libxs-parse-keyword-perl (0.46-1+b1) ... Setting up libtest-exception-perl (0.43-3) ... Setting up libfreetype6:amd64 (2.13.3+dfsg-1) ... Setting up libglpk40:amd64 (5.0-1+b2) ... Setting up libxfixes3:amd64 (1:6.0.0-2+b2) ... Setting up libstring-copyright-perl (0.003014-1) ... Setting up libldap-dev:amd64 (2.5.18+dfsg-3+b1) ... Setting up libopenexr-3-1-30:amd64 (3.1.5-5.1+b3) ... Setting up shared-mime-info (2.4-5+b1) ... Setting up libxinerama1:amd64 (2:1.1.4-3+b2) ... Setting up libxkbcommon-x11-0:amd64 (1.6.0-1+b2) ... Setting up liblapack-dev:amd64 (3.12.0-3+b1) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/lapack/liblapack.so to provide /usr/lib/x86_64-linux-gnu/liblapack.so (liblapack.so-x86_64-linux-gnu) in auto mode Setting up libgssapi-krb5-2:amd64 (1.21.3-3) ... Setting up libdata-optlist-perl (0.114-1) ... Setting up libgav1-1:amd64 (0.19.0-2+b2) ... Setting up ucf (3.0043+nmu1) ... Setting up libssh2-1-dev:amd64 (1.11.1-1) ... Setting up libccolamd3:amd64 (1:7.8.3+dfsg-2) ... Setting up libreadline8t64:amd64 (8.2-5) ... Setting up dh-strip-nondeterminism (1.14.0-1) ... Setting up libwww-robotrules-perl (6.02-1) ... Setting up libsyntax-keyword-try-perl (0.30-1+b1) ... Setting up libjack-jackd2-0:amd64 (1.9.22~dfsg-3) ... Setting up libdrm2:amd64 (2.4.123-1) ... Setting up groff-base (1.23.0-5) ... Setting up libhtml-parser-perl:amd64 (3.83-1+b1) ... Setting up gpgconf (2.2.45-2) ... Setting up libharfbuzz0b:amd64 (10.0.1-1) ... Setting up libfontconfig1:amd64 (2.15.0-1.1+b1) ... Setting up libsndfile1:amd64 (1.2.2-1+b3) ... Setting up libmro-compat-perl (0.15-2) ... Setting up gfortran-14 (14.2.0-8) ... Setting up libsm6:amd64 (2:1.2.4-1) ... Setting up libfftw3-dev:amd64 (3.3.10-1+b3) ... Setting up libavahi-client3:amd64 (0.8-13+b3) ... Setting up libio-socket-ssl-perl (2.089-1) ... Setting up gpg (2.2.45-2) ... Setting up libsub-exporter-perl (0.990-1) ... Setting up libhttp-message-perl (7.00-2) ... Setting up libdrm-amdgpu1:amd64 (2.4.123-1) ... Setting up libhtml-form-perl (6.12-1) ... Setting up libiterator-perl (0.03+ds1-2) ... Setting up libgnutls28-dev:amd64 (3.8.8-2) ... Setting up libinput10:amd64 (1.26.2-1) ... Setting up libnghttp2-dev:amd64 (1.64.0-1) ... Setting up libportaudio2:amd64 (19.6.0-1.2+b3) ... Setting up libqt6core6t64:amd64 (6.7.2+dfsg-4) ... Setting up libhttp-negotiate-perl (6.01-2) ... Setting up fontconfig (2.15.0-1.1+b1) ... Regenerating fonts cache... done. Setting up libavif16:amd64 (1.1.1-1) ... Setting up libcarp-assert-more-perl (2.5.0-1) ... Setting up libcholmod5:amd64 (1:7.8.3+dfsg-2) ... Setting up libxft2:amd64 (2.3.6-1+b2) ... Setting up libfeature-compat-try-perl (0.05-1) ... Setting up libxcb1-dev:amd64 (1.17.0-2+b1) ... Setting up libiterator-util-perl (0.02+ds1-2) ... Setting up libcurl4t64:amd64 (8.11.0-1) ... Setting up libhttp-cookies-perl (6.11-1) ... Setting up libspqr4:amd64 (1:7.8.3+dfsg-2) ... Setting up libdrm-radeon1:amd64 (2.4.123-1) ... Setting up po-debconf (1.0.21+nmu1) ... Setting up libhtml-tree-perl (5.07-3) ... Setting up libxcursor1:amd64 (1:1.2.2-1+b1) ... Setting up libparams-classify-perl:amd64 (0.015-2+b4) ... Setting up libpango-1.0-0:amd64 (1.54.0+ds-3) ... Setting up libdrm-intel1:amd64 (2.4.123-1) ... Setting up libcgi-pm-perl (4.66-1) ... Setting up libx11-dev:amd64 (2:1.8.10-2) ... Setting up libcurl3t64-gnutls:amd64 (8.11.0-1) ... Setting up libjxl0.9:amd64 (0.9.2-10+b1) ... Setting up libappstream5:amd64 (1.0.3-1+b1) ... Setting up libreadline-dev:amd64 (8.2-5) ... Setting up man-db (2.13.0-1) ... Not building database; man-db/auto-update is not 'true'. Setting up gfortran-x86-64-linux-gnu (4:14.2.0-1) ... Setting up libxml-sax-perl (1.02+dfsg-4) ... update-perl-sax-parsers: Registering Perl SAX parser XML::SAX::PurePerl with priority 10... update-perl-sax-parsers: Updating overall Perl SAX parser modules info file... Creating config file /etc/perl/XML/SAX/ParserDetails.ini with new version Setting up gfortran (4:14.2.0-1) ... update-alternatives: using /usr/bin/gfortran to provide /usr/bin/f95 (f95) in auto mode update-alternatives: using /usr/bin/gfortran to provide /usr/bin/f77 (f77) in auto mode Setting up libcairo2:amd64 (1.18.2-2) ... Setting up libobject-pad-perl (0.815-1) ... Setting up tex-common (6.18) ... update-language: texlive-base not installed and configured, doing nothing! Setting up appstream (1.0.3-1+b1) ... ? Metadata cache was updated successfully. Setting up libnet-smtp-ssl-perl (1.04-2) ... Setting up libqt6xml6:amd64 (6.7.2+dfsg-4) ... Setting up libqt6sql6:amd64 (6.7.2+dfsg-4) ... Setting up libmodule-runtime-perl (0.016-2) ... Setting up libmailtools-perl (2.22-1) ... Setting up libgssrpc4t64:amd64 (1.21.3-3) ... Setting up libraqm0:amd64 (0.10.1-1+b2) ... Setting up libconfig-model-perl (2.154-1) ... Setting up librtmp-dev:amd64 (2.4+20151223.gitfa8646d.1-2+b5) ... Setting up libxml-libxml-perl (2.0207+dfsg+really+2.0134-5+b1) ... update-perl-sax-parsers: Registering Perl SAX parser XML::LibXML::SAX::Parser with priority 50... update-perl-sax-parsers: Registering Perl SAX parser XML::LibXML::SAX with priority 50... update-perl-sax-parsers: Updating overall Perl SAX parser modules info file... Replacing config file /etc/perl/XML/SAX/ParserDetails.ini with new version Setting up libumfpack6:amd64 (1:7.8.3+dfsg-2) ... Setting up libconst-fast-perl (0.014-2) ... Setting up libdata-section-perl (0.200008-1) ... Setting up libqt6core5compat6:amd64 (6.7.2-3) ... Setting up libpangoft2-1.0-0:amd64 (1.54.0+ds-3) ... Setting up libhdf5-103-1t64:amd64 (1.10.10+repack-4) ... Setting up libdata-dpath-perl (0.60-1) ... Setting up libfltk1.3t64:amd64 (1.3.8-6.1+b1) ... Setting up libcups2t64:amd64 (2.4.10-2) ... Setting up libstring-rewriteprefix-perl (0.009-1) ... Setting up libpangocairo-1.0-0:amd64 (1.54.0+ds-3) ... Setting up libqt6dbus6:amd64 (6.7.2+dfsg-4) ... Setting up libkadm5clnt-mit12:amd64 (1.21.3-3) ... Setting up libconfig-model-backend-yaml-perl (2.134-2) ... Setting up libhdf5-hl-100t64:amd64 (1.10.10+repack-4) ... Setting up mesa-libgallium:amd64 (24.2.7-1) ... Setting up libproxy1v5:amd64 (0.5.9-1) ... Setting up libkdb5-10t64:amd64 (1.21.3-3) ... Setting up libgbm1:amd64 (24.2.7-1) ... Setting up libmodule-implementation-perl (0.09-2) ... Setting up libpackage-stash-perl (0.40-1) ... Setting up libimport-into-perl (1.002005-2) ... Setting up libmoo-perl (2.005005-1) ... Setting up libhdf5-cpp-103-1t64:amd64 (1.10.10+repack-4) ... Setting up libgl1-mesa-dri:amd64 (24.2.7-1) ... Setting up liblist-someutils-perl (0.59-1) ... Setting up libhdf5-fortran-102t64:amd64 (1.10.10+repack-4) ... Setting up debhelper (13.20) ... Setting up libmime-tools-perl (5.515-1) ... Setting up libsoftware-license-perl (0.104006-1) ... Setting up libclass-load-perl (0.25-2) ... Setting up libfeature-compat-class-perl (0.07-1) ... Setting up libegl-mesa0:amd64 (24.2.7-1) ... Setting up texinfo (7.1.1-1) ... Setting up libqt6network6:amd64 (6.7.2+dfsg-4) ... Setting up libkadm5srv-mit12:amd64 (1.21.3-3) ... Setting up libegl1:amd64 (1.7.0-1+b2) ... Setting up libmoox-aliases-perl (0.001006-2) ... Setting up libhdf5-hl-cpp-100t64:amd64 (1.10.10+repack-4) ... Setting up libparams-validate-perl:amd64 (1.31-2+b3) ... Setting up libb-hooks-endofscope-perl (0.28-1) ... Setting up krb5-multidev:amd64 (1.21.3-3) ... Setting up libglx-mesa0:amd64 (24.2.7-1) ... Setting up libglx0:amd64 (1.7.0-1+b2) ... Setting up libsoftware-licensemoreutils-perl (1.009-1) ... Setting up libhdf5-hl-fortran-100t64:amd64 (1.10.10+repack-4) ... Setting up libkrb5-dev:amd64 (1.21.3-3) ... Setting up libgl1:amd64 (1.7.0-1+b2) ... Setting up libqt6gui6:amd64 (6.7.2+dfsg-4) ... Setting up libcurl4-openssl-dev:amd64 (8.11.0-1) ... Setting up libhdf5-dev (1.10.10+repack-4) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/pkgconfig/hdf5-serial.pc to provide /usr/lib/x86_64-linux-gnu/pkgconfig/hdf5.pc (hdf5.pc) in auto mode Setting up libnamespace-clean-perl (0.27-2) ... Setting up libstring-license-perl (0.0.11-1) ... Setting up libgetopt-long-descriptive-perl (0.115-1) ... Setting up libglx-dev:amd64 (1.7.0-1+b2) ... Setting up libgl-dev:amd64 (1.7.0-1+b2) ... Setting up licensecheck (3.3.9-1) ... Setting up libapp-cmd-perl (0.336-1) ... Setting up libqt6opengl6:amd64 (6.7.2+dfsg-4) ... Setting up libgl2ps1.4 (1.4.2+dfsg1-2) ... Setting up libqt6widgets6:amd64 (6.7.2+dfsg-4) ... Setting up libfltk-gl1.3t64:amd64 (1.3.8-6.1+b1) ... Setting up cme (1.040-1) ... Setting up libqt6openglwidgets6:amd64 (6.7.2+dfsg-4) ... Setting up libqt6printsupport6:amd64 (6.7.2+dfsg-4) ... Setting up libqt6help6:amd64 (6.7.2-6) ... Setting up libqscintilla2-qt6-15:amd64 (2.14.1+dfsg-1+b4) ... Setting up libheif-plugin-dav1d:amd64 (1.19.3-1) ... Setting up liblwp-protocol-https-perl (6.14-1) ... Setting up libheif-plugin-libde265:amd64 (1.19.3-1) ... Setting up libwww-perl (6.77-1) ... Setting up libheif1:amd64 (1.19.3-1) ... Setting up libparse-debcontrol-perl (2.005-6) ... Setting up libhtml-tokeparser-simple-perl (3.16-4) ... Setting up libwww-mechanize-perl (2.19-1) ... Setting up libgd3:amd64 (2.3.3-12+b1) ... Setting up gnuplot-nox (6.0.0+dfsg1-3) ... update-alternatives: using /usr/bin/gnuplot-nox to provide /usr/bin/gnuplot (gnuplot) in auto mode Setting up libgraphicsmagick-q16-3t64 (1.4+really1.3.45-1+b1) ... Setting up lintian (2.120.0) ... Setting up libgraphicsmagick++-q16-12t64 (1.4+really1.3.45-1+b1) ... Setting up libconfig-model-dpkg-perl (3.005) ... Setting up dh-octave-autopkgtest (1.8.0) ... Setting up octave (9.2.0-3+b1) ... Setting up octave-dev (9.2.0-3+b1) ... Setting up dh-octave (1.8.0) ... Processing triggers for libc-bin (2.40-3) ... Processing triggers for ca-certificates (20240203) ... 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/octave-stk-2.8.1/ && 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 > ../octave-stk_2.8.1-3_source.changes dpkg-buildpackage: info: source package octave-stk dpkg-buildpackage: info: source version 2.8.1-3 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Rafael Laboissière dpkg-source --before-build . dpkg-buildpackage: info: host architecture amd64 debian/rules clean dh clean --buildsystem=octave dh_auto_clean -O--buildsystem=octave dh_octave_clean make[1]: Entering directory '/build/reproducible-path/octave-stk-2.8.1' make[1]: *** No rule to make target 'clean'. make[1]: *** No rule to make target 'distclean'. make[1]: Leaving directory '/build/reproducible-path/octave-stk-2.8.1' make[1]: Entering directory '/build/reproducible-path/octave-stk-2.8.1/src' rm -f *.o *.mex make[1]: *** No rule to make target 'distclean'. make[1]: Leaving directory '/build/reproducible-path/octave-stk-2.8.1/src' dh_autoreconf_clean -O--buildsystem=octave dh_clean -O--buildsystem=octave debian/rules binary dh binary --buildsystem=octave dh_update_autotools_config -O--buildsystem=octave dh_autoreconf -O--buildsystem=octave dh_octave_version -O--buildsystem=octave Checking the Octave version... ok dh_auto_configure -O--buildsystem=octave dh_auto_build -O--buildsystem=octave dh_auto_test -O--buildsystem=octave create-stamp debian/debhelper-build-stamp dh_testroot -O--buildsystem=octave dh_prep -O--buildsystem=octave dh_auto_install --destdir=debian/octave-stk/ -O--buildsystem=octave octave --no-gui --no-history --silent --no-init-file --no-window-system /usr/share/dh-octave/install-pkg.m /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/lib/x86_64-linux-gnu/octave/packages make[1]: Entering directory '/build/reproducible-path/octave-stk-2.8.1/src' /usr/bin/mkoctfile --verbose --mex --output __stk_dist_pairwise__.mex stk_dist_pairwise.c /usr/bin/mkoctfile --verbose --mex --output __get_column_number__.mex get_column_number.c /usr/bin/mkoctfile --verbose --mex --output __stk_dist_matrixy__.mex stk_dist_matrixy.c /usr/bin/mkoctfile --verbose --mex --output __stk_filldist_discr_mex__.mex stk_filldist_discr_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dist_pairwise.c -o /tmp/oct-LIB1nk.o /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_matrixy__.mex stk_gpquadform_matrixy.c /usr/bin/mkoctfile --verbose --mex --output __stk_isdominated_mex__.mex stk_isdominated_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dist_matrixy.c -o /tmp/oct-Q2P3ND.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG get_column_number.c -o /tmp/oct-UuNgDj.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_filldist_discr_mex.c -o /tmp/oct-WDlKg4.o /usr/bin/mkoctfile --verbose --mex --output __stk_mindist_mex__.mex stk_mindist_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_gpquadform_matrixy.c -o /tmp/oct-wE9PHG.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_isdominated_mex.c -o /tmp/oct-jShodN.o /usr/bin/mkoctfile --verbose --mex --output __stk_dist_matrixx__.mex stk_dist_matrixx.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_mindist_mex.c -o /tmp/oct-LFsxE5.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dist_matrixx.c -o /tmp/oct-wr9X13.o /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_matrixx__.mex stk_gpquadform_matrixx.c /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_pairwise__.mex stk_gpquadform_pairwise.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_gpquadform_matrixx.c -o /tmp/oct-fq5uHN.o /usr/bin/mkoctfile --verbose --mex --output __stk_paretofind_mex__.mex stk_paretofind_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_gpquadform_pairwise.c -o /tmp/oct-i9seUA.o /usr/bin/mkoctfile --verbose --mex --output __stk_sampling_vdc_rr2__.mex stk_sampling_vdc_rr2.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_paretofind_mex.c -o /tmp/oct-TGZPxw.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_sampling_vdc_rr2.c -o /tmp/oct-aNKnH6.o g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dist_pairwise__.mex /tmp/oct-LIB1nk.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __get_column_number__.mex /tmp/oct-UuNgDj.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dist_matrixx__.mex /tmp/oct-wr9X13.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_mindist_mex__.mex /tmp/oct-LFsxE5.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_filldist_discr_mex__.mex /tmp/oct-WDlKg4.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dist_matrixy__.mex /tmp/oct-Q2P3ND.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_gpquadform_matrixx__.mex /tmp/oct-fq5uHN.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_gpquadform_pairwise__.mex /tmp/oct-i9seUA.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro /usr/bin/mkoctfile --verbose --mex --output __stk_sampling_sobol_mex__.mex stk_sampling_sobol_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_sampling_sobol_mex.c -o /tmp/oct-UPvjuy.o g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_gpquadform_matrixy__.mex /tmp/oct-wE9PHG.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro /usr/bin/mkoctfile --verbose --mex --output __stk_distrib_bivnorm0_cdf__.mex stk_distrib_bivnorm0_cdf.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_distrib_bivnorm0_cdf.c -o /tmp/oct-TP33Ln.o /usr/bin/mkoctfile --verbose --mex --output __stk_dominatedhv_mex__.mex stk_dominatedhv_mex.c wfg.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dominatedhv_mex.c -o /tmp/oct-BJM71A.o g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_isdominated_mex__.mex /tmp/oct-jShodN.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_sampling_vdc_rr2__.mex /tmp/oct-aNKnH6.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_paretofind_mex__.mex /tmp/oct-TGZPxw.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG wfg.c -o /tmp/oct-liKADZ.o g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_distrib_bivnorm0_cdf__.mex /tmp/oct-TP33Ln.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_sampling_sobol_mex__.mex /tmp/oct-UPvjuy.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dominatedhv_mex__.mex /tmp/oct-BJM71A.o /tmp/oct-liKADZ.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro make[1]: Leaving directory '/build/reproducible-path/octave-stk-2.8.1/src' copyfile /build/reproducible-path/octave-stk-2.8.1/./src/__get_column_number__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_dist_matrixx__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_dist_matrixy__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_dist_pairwise__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_distrib_bivnorm0_cdf__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_dominatedhv_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_filldist_discr_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_gpquadform_matrixx__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_gpquadform_matrixy__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_gpquadform_pairwise__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_isdominated_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_mindist_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_paretofind_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_sampling_sobol_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_sampling_vdc_rr2__.mex /build/reproducible-path/octave-stk-2.8.1/./inst/x86_64-pc-linux-gnu-api-v59 For information about changes from previous versions of the stk package, run 'news stk'. rm: cannot remove '/build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/doc': Is a directory dh_octave_check -O--buildsystem=octave Checking package... Run the unit tests... Checking m files ... [inst/arrays/@stk_dataframe/sind.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sind.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = sind (x); assert (strcmp (class (v), class (u)) && isequal (v, sind (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/ismember.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/ismember.m ***** shared u, x, u1, x1, u2, x2 u = rand (10, 4); x = stk_dataframe (u); x1 = x(1, :); u1 = double (x1); u2 = - ones (1, 4); x2 = stk_dataframe (u2); ***** assert (ismember (u1, x, 'rows')) ***** assert (ismember (x1, u, 'rows')) ***** assert (ismember (x1, x, 'rows')) ***** assert (~ ismember (u2, x, 'rows')) ***** assert (~ ismember (x2, u, 'rows')) ***** assert (~ ismember (x2, x, 'rows')) ***** test [b, idx] = ismember ([x2; x1; x1], x, 'rows'); assert (isequal (b, [false; true; true])); assert (isequal (idx, [0; 1; 1])) 7 tests, 7 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/ctranspose.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/ctranspose.m ***** test u = rand(3, 2) + 1i * rand(3, 2); data = stk_dataframe(u, {'x' 'y'}, {'obs1'; 'obs2'; 'obs3'}); data = data'; assert (isa(data, 'stk_dataframe') && isequal(double(data), u')); assert (isequal(data.rownames, {'x'; 'y'})); assert (isequal(data.colnames, {'obs1' 'obs2' 'obs3'})); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/length.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/length.m ***** error length (stk_dataframe ([1 2; 3 4; 5 6])) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_dataframe.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_dataframe.m ***** test stk_test_class ('stk_dataframe') ***** test % default constructor x = stk_dataframe (); assert (isa (x, 'stk_dataframe') && isequal (size (x), [0 0])) ***** test y = stk_dataframe (rand (3, 2)); assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) ***** test y = stk_dataframe (rand (3, 2), {'x', 'y'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) ***** test y = stk_dataframe (rand (3, 2), {'x', 'y'}, {'a', 'b', 'c'}); assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'})) ***** test x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x); assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) ***** error x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x, pi); ***** error x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x, {}, pi); ***** test x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x, {'x' 'y'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) ***** test x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x, {'x' 'y'}, {'a', 'b', 'c'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'})) ***** test x = stk_dataframe (rand (3, 2), {'x' 'y'}); y = stk_dataframe (x, [], {'a', 'b', 'c'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'})) ***** test x = stk_dataframe (rand (3, 2), {'x' 'y'}); y = stk_dataframe (x, {}, {'a', 'b', 'c'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {})) assert (isequal (y.rownames, {'a'; 'b'; 'c'})) ***** test x = stk_factorialdesign ({1:3, 1:2}, {'x' 'y'}); y = stk_dataframe (x, [], {'a' 'b' 'c' 'd' 'e' 'f'}); assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) ***** test x = stk_factorialdesign ({1:3, 1:2}, {}, {'a' 'b' 'c' 'd' 'e' 'f'}); y = stk_dataframe (x, {'x' 'y'}); assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) ***** test x = stk_factorialdesign ({1:3, 1:2}, {}, {'a' 'b' 'c' 'd' 'e' 'f'}); y = stk_dataframe (x, {'x' 'y'}, []); assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) ***** test x = stk_factorialdesign ({1:3, 1:2}, {'x' 'y'}, {'a' 'b' 'c' 'd' 'e' 'f'}); y = stk_dataframe (x); assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) ***** error x = stk_factorialdesign ({1:3, 1:2}); y = stk_dataframe (x, pi); ***** error x = stk_factorialdesign ({1:3, 1:2}); y = stk_dataframe (x, {}, pi); ***** test x = stk_dataframe ([], {'a', 'b'}); assert (isequal (size (x), [0 2])) assert (isequal (x.colnames, {'a' 'b'})); assert (isequal (x.rownames, {})); ***** test x = stk_dataframe ([], {'a', 'b'}, {'toto'}); assert (isequal (size (x), [1 2])) assert (isequal (x.colnames, {'a' 'b'})); assert (isequal (x.rownames, {'toto'})); ***** shared x ***** test x = stk_dataframe (randn (10, 1), 'NOx'); assert (isequal (x.colnames, {'NOx'})); ***** test y = stk_dataframe (x, 'toto'); assert (isequal (y.colnames, {'toto'})); ***** test x = stk_dataframe (randn (1, 2), {}, 'aaa'); assert (isequal (x.rownames, {'aaa'})); ***** test y = stk_dataframe (x, {}, 'tata'); assert (isequal (y.rownames, {'tata'})); 24 tests, 24 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/plus.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/plus.m ***** test stk_test_dfbinaryop(@plus, rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop(@plus, rand(7, 2), pi); ***** error stk_test_dfbinaryop(@plus, rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/subsasgn.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/subsasgn.m ***** shared x, s, t, data x = stk_dataframe (rand (3, 2)); s = {'a'; 'b'; 'c'}; t = {'xx' 'yy'}; ***** test x.rownames = s; assert (isequal (get (x, 'rownames'), s)) ***** test x.colnames = t; assert (isequal (get (x, 'rownames'), s)) assert (isequal (get (x, 'colnames'), t)) ***** test x.rownames{2} = 'dudule'; assert (isequal (get (x, 'rownames'), {'a'; 'dudule'; 'c'})) assert (isequal (get (x, 'colnames'), t)) ***** test x.colnames{1} = 'martha'; assert (isequal (get (x, 'rownames'), {'a'; 'dudule'; 'c'})) assert (isequal (get (x, 'colnames'), {'martha' 'yy'})) ***** test data = stk_dataframe (zeros(3, 2), {'x1' 'x2'}); u = rand(3, 1); data.x2 = u; assert (isequal (double (data), [zeros(3, 1) u])) ***** test data = stk_dataframe (zeros (3, 2), {'x1' 'x2'}); data.x2(3) = 27; assert (isequal (double (data), [0 0; 0 0; 0 27])) ***** error data.toto = rand (3, 1); ***** shared x x = stk_dataframe (reshape (1:12, 4, 3), {'u' 'v' 'w'}); ***** test x(:, 2) = []; assert (isequal (size (x), [4 2])) assert (isequal (double (x), [1 9; 2 10; 3 11; 4 12])) assert (isequal (get (x, 'colnames'), {'u' 'w'})) assert (isempty (get (x, 'rownames'))) ***** test x(2, :) = []; assert (isequal (size (x), [3 2])) assert (isequal (double (x), [1 9; 3 11; 4 12])) assert (isempty (get (x, 'rownames'))) ***** test x.rownames = {'a'; 'b'; 'c'}; x(2, :) = []; assert (isequal (size (x), [2 2])) assert (isequal (double (x), [1 9; 4 12])) assert (isequal (x.rownames, {'a'; 'c'})) ***** test % change one value with matrix-style indexing x(1, 2) = 11; assert (isequal (size (x), [2 2])) assert (isequal (double (x), [1 11; 4 12])) ***** test % change one value with linear indexing x(3) = 13; assert (isequal (size (x), [2 2])) assert (isequal (double (x), [1 13; 4 12])) ***** assert (isequal (double (x(:, :)), [1 13; 4 12])); ***** test % assignment to a variable that doesn't exist A = stk_dataframe (7.1); clear B; B(2) = A; assert (strcmp (class (B), 'stk_dataframe')) assert (isequal (B.data, [0 7.1])); ***** test % repmat x = stk_dataframe (1); y = repmat (x, 2, 3); assert (isa (y, 'stk_dataframe')); assert (isequal (y.data, ones (2, 3))); ***** test x(:, :) = []; assert (isempty (x)); ***** test % Delete the only row of a one-row dataframe y1 = stk_dataframe ([1.2 3.33], {'mean', 'var'}); y1(1, :) = []; % Remove the only row of data assert (isequal (size (y1), [0 2])) assert (isequal (y1.colnames, {'mean', 'var'})) y11 = get (y1, 'mean'); assert (isempty (y11)); ***** error x{1} = 2; ***** error x(1, 2) = []; ***** error x(1, 2).a = 3; ***** shared x x = stk_dataframe((1:5)'); ***** test x(2) = 0; assert (isequal (double (x), [1; 0; 3; 4; 5])); ***** test x(3) = []; assert (isequal (double (x), [1; 0; 4; 5])); ***** test x(3, 1) = 0; assert (isequal(double(x), [1; 0; 0; 5])); ***** error x(3, 1, 1) = 297; ***** test % create a new row and a new column through subsasgn() x = stk_dataframe (rand (5, 2)); x(6, 3) = 7; assert(isequal(size(x), [6, 3])); ***** test x = stk_dataframe ([]); x.colnames{2} = 'v'; x.rownames{2} = 'b'; assert (isequal (x.rownames, {''; 'b'})); assert (isequal (x.colnames, {'' 'v'})); assert (isequal (size (x.data), [2 2]) && (all (isnan (x.data(:))))) ***** shared x x = stk_dataframe (reshape (1:12, 4, 3), {'u' 'v' 'w'}); ***** test % change one column using ':', plain numeric argument y = [0; 9; 0; 9]; z = x; z(:, 2) = y; assert (isequal (z(:, 1), x(:, 1))); assert (isequal (z(:, 2).data, y)); ***** test % change one column using ':', skt_dataframe argument y = stk_dataframe ([0; 9; 0; 9], {'y'}); z = x; z(:, 2) = y; assert (isequal (z(:, 1), x(:, 1))); assert (isequal (z(:, 2), y)); ***** shared x x = stk_dataframe (reshape (1:12, 4, 3), [], {'a'; 'b'; 'c'; 'd'}); ***** test % change one row using ':', plain numeric argument y = [7 7 7]; z = x; z(3, :) = y; assert (isequal (z(1, :), x(1, :))); assert (isequal (z(3, :).data, y)); ***** test % change one row using ':', skt_dataframe argument y = stk_dataframe ([7 7 7], [], {'y'}); z = x; z(3, :) = y; assert (isequal (z(1, :), x(1, :))); assert (isequal (z(3, :), y)); ***** shared x x = stk_dataframe (zeros (2), {'u' 'v'}); ***** test % first column x(1:2) = 1; y = stk_dataframe ([1 0; 1 0], {'u' 'v'}); assert (isequal (x, y)); ***** test % one more element x(1:3) = 2; y = stk_dataframe ([2 2; 2 0], {'u' 'v'}); assert (isequal (x, y)); ***** error % too many elements x(1:5) = 3; ***** shared x x = stk_dataframe (randn (3, 3)); ***** test x.colnames{2} = 'y'; ***** assert (isequal (x.colnames, {'' 'y' ''})); ***** test x.rownames{2} = 'b'; ***** assert (isequal (x.rownames, {''; 'b'; ''})); 37 tests, 37 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_sprintf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_sprintf.m ***** shared x, fmt fmt = stk_disp_getformat (); x = stk_dataframe (rand (3, 2)); ***** test format rat; disp (x); : -------- -------- * : 0.244979 0.155076 * : 0.846825 0.153700 * : 0.161103 0.809742 ***** test format long; disp (x); : ---------------- ---------------- * : 0.24497867009580 0.15507568331247 * : 0.84682490522395 0.15370036015630 * : 0.16110254291333 0.80974159531175 ***** test format short; disp (x); format (fmt); : -------- -------- * : 0.244979 0.155076 * : 0.846825 0.153700 * : 0.161103 0.809742 ***** test disp (stk_dataframe (zeros (0, 1))) Empty data frame with 0 rows and 0 columns ***** test disp (stk_dataframe (zeros (0, 2))) Empty data frame with 0 rows and 0 columns 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/plot.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/plot.m ***** test % plot with x as a vector and z as a (univariate) dataframe x = linspace(0, 2*pi, 30)'; z = stk_dataframe(sin(x)); figure; plot(x, z); close(gcf); warning: using the gnuplot graphics toolkit is discouraged The gnuplot graphics toolkit is not actively maintained and has a number of limitations that are unlikely to be fixed. Communication with gnuplot uses a one-directional pipe and limited information is passed back to the Octave interpreter so most changes made interactively in the plot window will not be reflected in the graphics properties managed by Octave. For example, if the plot window is closed with a mouse click, Octave will not be notified and will not update its internal list of open figure windows. The qt toolkit is recommended instead. ***** test % plot with x as a vector and z as a (multivariate) dataframe x = linspace(0, 2*pi, 30)'; z = stk_dataframe([sin(x) cos(x)], {'sin' 'cos'}); figure; plot(x, z); close(gcf); ***** test % plot with x as a dataframe and z as a vector x = stk_dataframe(linspace(0, 2*pi, 30)'); z = sin(double(x)); figure; plot(x, z); close(gcf); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mean.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mean.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (mean(df1), mean(x1))) ***** assert (isequal (mean(df1, 1), mean(x1))) ***** assert (isequal (mean(df1, 2), mean(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/fieldnames.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/fieldnames.m ***** test x = stk_dataframe (rand (3, 2), {'u' 'v'}); assert (isequal (sort (fieldnames (x)), ... {'colnames'; 'data'; 'info'; 'rownames'; 'sample_size'; 'u'; 'v'})); ***** test x = stk_dataframe (rand (3, 2)); x.rownames(2:3) = {'aa', 'bb'}; x.colnames{2} = 'toto'; assert (isequal (fieldnames (x), ... {'toto'; 'aa'; 'bb'; 'data'; 'info'; ... 'rownames'; 'colnames'; 'sample_size'})); 2 tests, 2 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/median.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/median.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (median(df1), median(x1))) ***** assert (isequal (median(df1, 1), median(x1))) ***** assert (isequal (median(df1, 2), median(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/isinf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/isinf.m ***** test u = [pi, NaN, Inf, -Inf]; x = stk_dataframe (u); v = isinf (x); assert (islogical (v) && isequal (v, isinf (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/unique.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/unique.m ***** test cn = {'u' 'v' 'w'}; x = stk_dataframe (rand (4, 3), cn); y = [x; x]; z = unique (y, 'rows'); assert (isequal (z.colnames, cn)); assert (isequal (z.data, unique (x.data, 'rows'))); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/transpose.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/transpose.m ***** test u = rand(3, 2) + 1i * rand(3, 2); data = stk_dataframe(u, {'x' 'y'}, {'obs1'; 'obs2'; 'obs3'}); data = data.'; assert (isa(data, 'stk_dataframe') && isequal(double(data), u.')); assert (isequal(data.rownames, {'x'; 'y'})); assert (isequal(data.colnames, {'obs1' 'obs2' 'obs3'})); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/cosd.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cosd.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = cosd (x); assert (strcmp (class (v), class (u)) && isequal (v, cosd (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/minus.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/minus.m ***** test stk_test_dfbinaryop(@minus, rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop(@minus, rand(7, 2), pi); ***** error stk_test_dfbinaryop(@minus, rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/logical.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/logical.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = logical (x); assert (strcmp (class(v), 'logical') && isequal (v, logical (u))) ***** test u = (rand (4, 3) < 0.5); x = stk_dataframe (u); v = logical (x); assert (strcmp (class (v), 'logical') && isequal (v, u)) ***** test u = uint8 (rand (4, 3) * 5); x = stk_dataframe (u); v = logical (x); assert (strcmp (class (v), 'logical') && isequal (v, logical (u))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/end.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/end.m ***** shared x x = stk_dataframe ([1; 2; 3]); ***** assert (isequal (double (x(2:end, :)), [2; 3])) ***** assert (isequal (double (x(2:end)), [2; 3])) ***** assert (isequal (double (x(2, 1:end)), 2)) ***** assert (isequal (double (x(end)), 3)) ***** shared x x = stk_dataframe ([1 2; 3 4; 5 6]); ***** assert (isequal (x(2:end, :), x(2:3, :))) ***** assert (isequal (x(2, 1:end), x(2, :))) ***** assert (isequal (x(2:end, 2:end), x(2:3, 2))) ***** error x(1:end, 1:end, 1:end) 8 tests, 8 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/reshape.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/reshape.m ***** test x = stk_dataframe (randn (10, 3)); y = reshape (x, 5, 6); assert (isa (y, 'stk_dataframe') && isequal (size (y), [5 6])) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/tanh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/tanh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = tanh (x); assert (strcmp (class (v), class (u)) && isequal (v, tanh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sum.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sum.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (sum(df1), sum(x1))) ***** assert (isequal (sum(df1, 1), sum(x1))) ***** assert (isequal (sum(df1, 2), sum(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/tand.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/tand.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = tand (x); assert (strcmp (class (v), class (u)) && isequal (v, tand (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/log2.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log2.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = log2 (x); assert (strcmp (class (v), class (u)) && isequal (v, log2 (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/acos.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/acos.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = acos (x); assert (strcmp (class (v), class (u)) && isequal (v, acos (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_rescale.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_rescale.m ***** test u = rand(5, 1) * 2; x = stk_dataframe(u); y = stk_rescale(x, [0; 2], [0; 3]); assert (isa (y, 'stk_dataframe') && isequal(double(y), u * 3/2)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/power.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/power.m ***** test stk_test_dfbinaryop(@power, rand(7, 2), .1 + rand(7, 2)); ***** test stk_test_dfbinaryop(@power, rand(7, 2), .1); ***** error stk_test_dfbinaryop(@power, rand(7, 2), .1 + rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/quantile.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/quantile.m ***** shared x1, df1, p x1 = rand (9, 3); df1 = stk_dataframe (x1, {'a', 'b', 'c'}); p = 0.95; ***** assert (isequal (quantile (df1, p), quantile (x1, p))) ***** assert (isequal (quantile (df1, p, 1), quantile (x1, p))) ***** assert (isequal (quantile (df1, p, 2), quantile (x1, p, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/tan.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/tan.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = tan (x); assert (strcmp (class (v), class (u)) && isequal (v, tan (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/isfinite.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/isfinite.m ***** test u = [pi, NaN, Inf, -Inf]; x = stk_dataframe (u); v = isfinite (x); assert (islogical (v) && isequal (v, isfinite (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/prod.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/prod.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (prod(df1), prod(x1))) ***** assert (isequal (prod(df1, 1), prod(x1))) ***** assert (isequal (prod(df1, 2), prod(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/isnan.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/isnan.m ***** test u = [pi, NaN, Inf, -Inf]; x = stk_dataframe (u); v = isnan (x); assert (islogical (v) && isequal (v, isnan (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/bsxfun.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/bsxfun.m ***** shared x1, x2, data1, data2 x1 = rand (3, 2); data1 = stk_dataframe (x1); x2 = rand (3, 2); data2 = stk_dataframe (x2); ***** test z = bsxfun (@plus, data1, x2); assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) ***** test z = bsxfun (@plus, x1, data2); assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) ***** test z = bsxfun (@plus, data1, data2); assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) ***** shared x, y x = stk_dataframe (randn (2), {'x1', 'x2'}, {'a'; 'b'}); y = stk_dataframe (randn (2), {'y1', 'y2'}, {'c'; 'd'}); ***** test z = x + y; assert (isequal (z.colnames, x.colnames)); assert (isequal (z.rownames, x.rownames)); ***** test z = y + x; assert (isequal (z.colnames, y.colnames)); assert (isequal (z.rownames, y.rownames)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/abs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/abs.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = abs (x); assert (strcmp (class (v), class (u)) && isequal (v, abs (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/disp.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/disp.m ***** shared x, fmt fmt = stk_disp_getformat (); x = stk_dataframe (rand (3, 2)); ***** test format rat; disp (x); : -------- -------- * : 0.158439 0.243623 * : 0.925658 0.810073 * : 0.975674 0.201579 ***** test format long; disp (x); : ---------------- ---------------- * : 0.15843888830501 0.24362310538896 * : 0.92565765171532 0.81007268636390 * : 0.97567434449392 0.20157913937739 ***** test format short; disp (x); format (fmt); : -------- -------- * : 0.158439 0.243623 * : 0.925658 0.810073 * : 0.975674 0.201579 ***** test disp (stk_dataframe (zeros (0, 1))) Empty data frame with 0 rows and 0 columns ***** test disp (stk_dataframe (zeros (0, 2))) Empty data frame with 0 rows and 0 columns 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/atan.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/atan.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = atan (x); assert (strcmp (class (v), class (u)) && isequal (v, atan (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/expm1.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/expm1.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = expm1 (x); assert (strcmp (class (v), class (u)) && isequal (v, expm1 (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_length.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_length.m ***** test x = stk_dataframe ([1 2; 3 4; 5 6]); assert (isequal (stk_length (x), 3)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/ldivide.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/ldivide.m ***** test stk_test_dfbinaryop(@ldivide, 1 + rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop(@ldivide, 1 + rand(7, 2), pi); ***** error stk_test_dfbinaryop(@ldivide, 1 + rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mrdivide.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mrdivide.m ***** test x1_data = [8 7; 58 49]; x1 = stk_dataframe (x1_data, {'x' 'y'}, {'a'; 'b'}); x2_data = [8 7; 2 0]; x2 = stk_dataframe (x2_data, {'x' 'y'}, {'u'; 'v'}); y = x1 / x2; assert (stk_isequal_tolabs (y, ... stk_dataframe ([1 0; 7 1], {'u'; 'v'}, {'a'; 'b'}))); ***** shared x_data, x, y_data, y x_data = [3 3; 6 3; 9 12]; y_data = [1 1; 2 1; 3 4]; x = stk_dataframe (x_data, {'x' 'y'}, {'a'; 'b'; 'c'}); ***** test y = x / 3; ***** assert (isequal (y, stk_dataframe ([1 1; 2 1; 3 4], {'x' 'y'}, {'a'; 'b'; 'c'}))); ***** error y = 3 / x; 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/cosh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cosh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = cosh (x); assert (strcmp (class (v), class (u)) && isequal (v, cosh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/cos.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cos.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = cos (x); assert (strcmp (class (v), class (u)) && isequal (v, cos (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/log.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = log (x); assert (strcmp (class (v), class (u)) && isequal (v, log (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/asind.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/asind.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = asind (x); assert (strcmp (class (v), class (u)) && isequal (v, asind (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/atand.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/atand.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = atand (x); assert (strcmp (class (v), class (u)) && isequal (v, atand (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/max.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/max.m ***** test stk_test_dfbinaryop ('max', rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop ('max', rand(7, 2), pi); ***** error stk_test_dfbinaryop ('max', rand(7, 2), rand(7, 3)); ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (max(df1), max(x1))) ***** assert (isequal (max(df1, [], 1), max(x1))) ***** assert (isequal (max(df1, [], 2), max(x1, [], 2))) ***** error (max(df1, df1, 2)) ***** test x = stk_dataframe ([1; 3; 2]); [M, k] = max (x); assert ((M == 3) && (k == 2)); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sin.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sin.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = sin (x); assert (strcmp (class (v), class (u)) && isequal (v, sin (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mode.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mode.m ***** shared x1, df1 x1 = floor(3 * rand(9, 3)); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (mode(df1), mode(x1))) ***** assert (isequal (mode(df1, 1), mode(x1))) ***** assert (isequal (mode(df1, 2), mode(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_normalize.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_normalize.m ***** test u = rand (6, 2) * 2; x = stk_dataframe (u); y = stk_normalize (x); assert (isa (y, 'stk_dataframe') ... && stk_isequal_tolabs (double (y), stk_normalize (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/vertcat.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/vertcat.m ***** shared u, v u = rand (3, 2); v = rand (3, 2); ***** test x = stk_dataframe (u); y = stk_dataframe (v); z = vertcat (x, y); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); ***** test % the same, with row names this time x = stk_dataframe (u, {}, {'a'; 'b'; 'c'}); y = stk_dataframe (v, {}, {'d'; 'e'; 'f'}); z = vertcat (x, y); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); assert (all (strcmp (z.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'}))); ***** test % the same, with row names only for the first argument x = stk_dataframe (u, {}, {'a'; 'b'; 'c'}); y = stk_dataframe (v); z = vertcat (x, y); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); ***** test % incompatible variable names u = rand (3, 1); x = stk_dataframe (u, {'x'}); v = rand (3, 1); y = stk_dataframe (v, {'y'}); z = vertcat (x, y); assert (isequal (z.colnames, {})); warning: Incompatible column names ! The output of vertcat will have no column names. warning: called from vertcat at line 82 column 9 __test__ at line 5 column 4 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 406 column 31 ***** test x = stk_dataframe (u); z = vertcat (x, v); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); ***** test % the same, with row names for the first argument x = stk_dataframe (u, {}, {'a'; 'b'; 'c'}); z = vertcat (x, v); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); ***** test y = stk_dataframe (v); z = vertcat (u, y); assert (isa (z, 'stk_dataframe') && (isequal (double (z), [u; v]))); ***** test x = stk_dataframe (u); y = stk_dataframe (v); z = vertcat (x, y, u, v); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v; u; v])); ***** shared x, y x = stk_dataframe (rand (2, 3), {'a', 'b', 'c'}); y = stk_dataframe (rand (3, 2), {'a', 'b'}); y = horzcat (y, rand(3, 1)); % last column name is missing ***** test z = vertcat (x, y); assert (isequal (z.colnames, {'a' 'b' 'c'})) ***** test z = vertcat (y, x); assert (isequal (z.colnames, {'a' 'b' 'c'})) 10 tests, 10 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mldivide.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mldivide.m ***** test x1_data = [57 7; 2 0]; x1 = stk_dataframe (x1_data, {'x' 'y'}, {'a'; 'b'}); x2_data = [8 7; 2 0]; x2 = stk_dataframe (x2_data, {'w' 'z'}, {'a'; 'b'}); y = x2 \ x1; assert (stk_isequal_tolabs (y, ... stk_dataframe ([1 0; 7 1], {'x'; 'y'}, {'w'; 'z'}))); ***** shared x_data, x, y_data, y x_data = [3 3; 6 3; 9 12]; y_data = [1 1; 2 1; 3 4]; x = stk_dataframe (x_data, {'x' 'y'}, {'a'; 'b'; 'c'}); ***** test y = 3 \ x; ***** assert (isequal (y, stk_dataframe (y_data, {'x' 'y'}, {'a'; 'b'; 'c'}))); ***** error y = x \ 3; 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_boundingbox.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_boundingbox.m ***** shared x, y, cn cn = {'a', 'b', 'c'}; x = stk_dataframe ([0 3 2; 1 4 1; 7 0 2], cn); ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y, stk_hrect ([0 0 1; 7 4 2], cn))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_get_sample_size.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_get_sample_size.m ***** test x = stk_dataframe ([1 2; 3 4; 5 6]); assert (isequal (stk_get_sample_size (x), 3)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mtimes.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mtimes.m ***** shared x, y, z, w u = [1 3 4; 2 7 6]; % 2 x 3 v = [6 2; 1 7; 9 4]; % 3 x 2 w = [45 39; 73 77]; % u * v x = stk_dataframe (u, {}, {'a'; 'b'}); y = stk_dataframe (v, {'c' 'd'}); z = x * y; ***** assert (isa (z, 'stk_dataframe')); ***** assert (isequal (z.data, w)); ***** assert (isequal (z.rownames, x.rownames)); ***** assert (isequal (z.colnames, y.colnames)); ***** shared x, y x = stk_dataframe (rand (3, 2), {'x' 'y'}, {'a'; 'b'; 'c'}); ***** test y = 3 * x; ***** assert (isequal (y, stk_dataframe (3 * x.data, {'x' 'y'}, {'a'; 'b'; 'c'}))); ***** test y = x * 3; ***** assert (isequal (y, stk_dataframe (3 * x.data, {'x' 'y'}, {'a'; 'b'; 'c'}))); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/acosh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/acosh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = acosh (x); assert (strcmp (class (v), class (u)) && isequal (v, acosh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/asinh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/asinh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = asinh (x); assert (strcmp (class (v), class (u)) && isequal (v, asinh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/std.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/std.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (std(df1), std(x1))) ***** assert (isequal (std(df1, 0, 1), std(x1))) ***** assert (isequal (std(df1, 0, 2), std(x1, 0, 2))) ***** assert (isequal (std(df1, 1), std(x1, 1))) ***** assert (isequal (std(df1, 1, 1), std(x1, 1))) ***** assert (isequal (std(df1, 1, 2), std(x1, 1, 2))) 6 tests, 6 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/var.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/var.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (var(df1), var(x1))) ***** assert (isequal (var(df1, 0, 1), var(x1))) ***** assert (isequal (var(df1, 0, 2), var(x1, 0, 2))) ***** assert (isequal (var(df1, 1), var(x1, 1))) ***** assert (isequal (var(df1, 1, 1), var(x1, 1))) ***** assert (isequal (var(df1, 1, 2), var(x1, 1, 2))) 6 tests, 6 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/log10.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log10.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = log10 (x); assert (strcmp (class (v), class (u)) && isequal (v, log10 (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/times.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/times.m ***** test stk_test_dfbinaryop(@times, rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop(@times, rand(7, 2), pi); ***** error stk_test_dfbinaryop(@times, rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/horzcat.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/horzcat.m ***** shared u, v u = rand(3, 2); v = rand(3, 2); ***** test x = stk_dataframe(u, {'x1' 'x2'}); y = stk_dataframe(v, {'y1' 'y2'}); z = horzcat (x, y); assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); ***** test x = stk_dataframe(u, {'x1' 'x2'}, {'a'; 'b'; 'c'}); y = stk_dataframe(v, {'y1' 'y2'}); z = horzcat (x, y); assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); assert(all(strcmp(z.rownames, {'a'; 'b'; 'c'}))); ***** test x = stk_dataframe(u, {'x1' 'x2'}); y = stk_dataframe(v, {'y1' 'y2'}, {'a'; 'b'; 'c'}); z = horzcat (x, y); assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); assert(all(strcmp(z.rownames, {'a'; 'b'; 'c'}))); ***** test % incompatible row names x = stk_dataframe (u, {'x1' 'x2'}, {'a'; 'b'; 'c'}); y = stk_dataframe (v, {'y1' 'y2'}, {'a'; 'b'; 'd'}); z = horzcat (x, y); assert (isequal (z.rownames, {})); warning: Incompatible row names ! The output of horzcat will have no row names. warning: called from horzcat at line 73 column 9 __test__ at line 5 column 4 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 494 column 31 ***** test x = stk_dataframe (u); z = horzcat (x, v); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u v])); ***** test y = stk_dataframe (v); z = horzcat (u, y); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u v])); ***** test x = stk_dataframe(u, {'x1' 'x2'}); y = stk_dataframe(v, {'y1' 'y2'}); z = horzcat (x, y, u, v); assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v u v])); 7 tests, 7 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/double.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/double.m ***** test u = rand(4, 3); x = stk_dataframe(u); v = double(x); assert (strcmp(class(v), 'double') && isequal(v, u)) ***** test u = (rand(4, 3) < 0.5); x = stk_dataframe(u); v = double(x); assert (strcmp(class(v), 'double') && isequal(v, double(u))) ***** test u = uint8 (rand (4, 3) * 5); x = stk_dataframe(u); v = double(x); assert (strcmp(class(v), 'double') && isequal(v, double(u))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/subsref.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/subsref.m ***** shared x, s, t, data x = stk_dataframe(rand(3, 2)); s = {'a'; 'b'; 'c'}; t = {'xx' 'yy'}; ***** test x = set(x, 'rownames', s); assert (isequal (x.rownames, s)) assert (isequal (x.rownames{2}, 'b')) ***** test x = set(x, 'colnames', t); assert (isequal (x.rownames, s)) assert (isequal (x.colnames, t)) assert (isequal (x.colnames{2}, 'yy')) ***** shared u, data u = rand(3, 2); data = stk_dataframe(u, {'x1', 'x2'}); ***** assert (isequal (data.x2, u(:, 2))) ***** assert (data.x2(3) == u(3, 2)) ***** error t = data.toto; ***** error t = data(1, 1).zzz; % illegal multilevel indexing ***** error t = data(1, 1, 1); % too many indices ***** error t = data{1}; % curly braces not allowed ***** test % select rows and columns x = stk_dataframe (reshape (1:15, 5, 3), {'u' 'v' 'w'}); assert (isequal (x([3 5], 2), stk_dataframe ([8; 10], {'v'}))); ***** shared u, data u = rand(3, 1); data = stk_dataframe(u, {'x'}); ***** assert (isequal (data.x, u)) ***** assert (isequal (double (data), u)) ***** assert (isequal (double (data(2)), u(2))) ***** assert (isequal (double (data(3, 1)), u(3))) ***** error t = data(1, 1, 1); % too many indices ***** test x = stk_dataframe (randn (2, 2), {'u' 'v'}); y = x ([], :); assert (isa (y, 'stk_dataframe')); assert (isequal (size (y), [0 2])); assert (isequal (y.colnames, {'u' 'v'})); ***** test x = stk_dataframe (randn (2, 2), [], {'a' 'b'}); y = x (:, []); assert (isa (y, 'stk_dataframe')); assert (isequal (size (y), [2 0])); assert (isequal (y.rownames, {'a'; 'b'})); 16 tests, 16 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/log1p.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log1p.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = log1p (x); assert (strcmp (class (v), class (u)) && isequal (v, log1p (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/rdivide.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/rdivide.m ***** test stk_test_dfbinaryop(@rdivide, rand(7, 2), 1 + rand(7, 2)); ***** test stk_test_dfbinaryop(@rdivide, rand(7, 2), pi); ***** error stk_test_dfbinaryop(@rdivide, rand(7, 2), 1 + rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/min.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/min.m ***** test stk_test_dfbinaryop ('min', rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop ('min', rand(7, 2), pi); ***** error stk_test_dfbinaryop ('min', rand(7, 2), rand(7, 3)); ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (min(df1), min(x1))) ***** assert (isequal (min(df1, [], 1), min(x1))) ***** assert (isequal (min(df1, [], 2), min(x1, [], 2))) ***** error (min(df1, df1, 2)) ***** test x = stk_dataframe ([5; 2; 4]); [M, k] = min (x); assert ((M == 2) && (k == 2)); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/cat.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cat.m ***** shared u, v, x, y u = rand(3, 2); v = rand(3, 2); x = stk_dataframe(u); y = stk_dataframe(v); ***** test % vertical z = cat(1, x, y); assert(isa(z, 'stk_dataframe')); assert(isequal(double(z), [u; v])); ***** error z = cat(3, x, y); ***** test % horizontal y = stk_dataframe(v, {'y1' 'y2'}); z = cat(2, x, y); assert(isa(z, 'stk_dataframe')); assert(isequal(double(z), [u v])); assert(all(strcmp(z.colnames, {'' '' 'y1' 'y2'}))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/apply.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/apply.m ***** shared x, t, u t = rand (3, 2); x = stk_dataframe (t); ***** test u = apply (x, 1, @sum); ***** assert (isequal (u, sum (t, 1))) ***** test u = apply (x, 2, @sum); ***** assert (isequal (u, sum (t, 2))) ***** error u = apply (x, 3, @sum); ***** test u = apply (x, 1, @min, []); ***** assert (isequal (u, min (t, [], 1))) ***** test u = apply (x, 2, @min, []); ***** assert (isequal (u, min (t, [], 2))) ***** error u = apply (x, 3, @min, []); ***** test t = [1; 3; 2]; x = stk_dataframe (t); [M, k] = apply (x, 1, @max, []); assert ((M == 3) && (k == 2)); 11 tests, 11 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sort.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sort.m ***** shared x, y x = stk_dataframe ([3; 2; 1], {}, {'a', 'b', 'c'}); y = sort (x); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.data, [1; 2; 3])) ***** assert (isequal (y.rownames, {'c'; 'b'; 'a'})) ***** error y = sort (x, []); ***** assert (isequal (sort (x, 1), y)) ***** assert (isequal (sort (x, 2), x)) ***** error sort (x, 3) ***** error y = sort (x, [], 'ascend'); ***** assert (isequal (sort (x, 1, 'ascend'), y)) ***** assert (isequal (sort (x, 2, 'ascend'), x)) ***** error y = sort (x, 3, 'ascend'); ***** error y = sort (x, [], 'descend'); ***** assert (isequal (sort (x, 1, 'descend'), x)) ***** assert (isequal (sort (x, 2, 'descend'), x)) ***** error sort (x, 3, 'descend') 15 tests, 15 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sqrt.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sqrt.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = sqrt (x); assert (strcmp (class (v), class (u)) && isequal (v, sqrt (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/acosd.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/acosd.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = acosd (x); assert (strcmp (class (v), class (u)) && isequal (v, acosd (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sinh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sinh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = sinh (x); assert (strcmp (class (v), class (u)) && isequal (v, sinh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/exp.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/exp.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = exp (x); assert (strcmp (class (v), class (u)) && isequal (v, exp (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/size.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/size.m ***** shared x x = stk_dataframe([1 2; 3 4; 5 6]); ***** assert (isequal (size(x), [3 2])) ***** assert (numel(x) == 1) ***** assert (ndims(x) == 2) ***** test size(x); % force exploration of branch nargout == 0 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/asin.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/asin.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = asin (x); assert (strcmp (class (v), class (u)) && isequal (v, asin (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/atanh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/atanh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = atanh (x); assert (strcmp (class (v), class (u)) && isequal (v, atanh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/display.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/display.m ***** test display (stk_dataframe (rand (3, 2))); = <3x2 stk_dataframe array> : -------- -------- * : 0.382734 0.337795 * : 0.459925 0.797224 * : 0.911581 0.815551 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/realpow.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/realpow.m ***** test stk_test_dfbinaryop(@realpow, rand(7, 2), .1 + rand(7, 2)); ***** test stk_test_dfbinaryop(@realpow, rand(7, 2), .1); ***** error stk_test_dfbinaryop(@realpow, rand(7, 2), .1 + rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_rescale.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_rescale.m ***** shared x x = rand (10, 4); y = stk_rescale (x, [], []); assert (stk_isequal_tolabs (x, y)); ***** test y = stk_rescale(0.5, [], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 1], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 2], []); assert (stk_isequal_tolabs (y, 0.25)); ***** test y = stk_rescale (0.5, [0; 2], [0; 1]); assert (stk_isequal_tolabs (y, 0.25)); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_length.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_length.m ***** assert (isequal (stk_length ([1 2; 3 4; 5 6]), 3)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_normalize.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_normalize.m ***** shared x, box, y1, y2, y3, y4 n = 5; box = [2; 3]; x = box(1) + diff (box) * rand (n, 1); ***** error y1 = stk_normalize (); ***** test y2 = stk_normalize (x); ***** test y3 = stk_normalize (x, box); ***** test assert (~ any ((y2 < -10 * eps) | (y2 > 1 + 10 * eps))); ***** test assert (~ any ((y3 < -10 * eps) | (y3 > 1 + 10 * eps))); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_feval.m ***** shared f, xt f = @(x)(- (0.7 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); xt = stk_sampling_regulargrid (20, 1, [0; 1]); ***** error yt = stk_feval (); ***** error yt = stk_feval (f); ***** test yt = stk_feval (f, xt); ***** test yt = stk_feval (f, xt, false); ***** test yt = stk_feval (f, xt, false, false); ***** test yt = stk_feval (f, xt, false, false, false); ***** test N = 15; xt = stk_sampling_regulargrid (N, 1, [0; 1]); yt = stk_feval (f, xt); assert (isequal (size (yt), [N 1])); ***** test x = stk_dataframe ([1; 2; 3], {'x'}, {'a'; 'b'; 'c'}); y = stk_feval (@(u)(2 * u), x); assert (isequal (y.data, [2; 4; 6])); assert (isequal (y.rownames, {'a'; 'b'; 'c'})); ***** shared t, z_ref, n n = 20; t = stk_sampling_regulargrid (n, 1, [0; 2*pi]); z_ref = [sin(t.data) cos(t.data)]; ***** test t.colnames = {'time'}; z = stk_feval ({@sin, @cos}, t); assert (isa (z, 'stk_dataframe')); assert (isequal (z.data, z_ref)); ***** test F = @(x)([sin(x) cos(x)]); z = stk_feval (F, t); assert (isequal (z.data, z_ref)); ***** test t = stk_sampling_regulargrid (n, 1, [0; 2*pi]); F = {'sin', 'cos'}; z = stk_feval (F, t); assert (isequal (z.data, [sin(t.data) cos(t.data)])); assert (isequal (z.colnames, {'sin' 'cos'})); ***** test % vectorized F = @(t)([sin(t) cos(t)]); G = @(t)(0.365 * t.^2 + (cos ((t - 1).*(t - 2) + 0.579033))); z = stk_feval ({@sin, @cos, G, F, 'tan'}, t); assert (isequal (z.colnames, {'sin' 'cos' 'F3' 'F4_1' 'F4_2' 'tan'})); ***** test % not vectorized F = @(t)([sin(t) cos(t)]); G = @(t)(0.365 * t^2 + (cos ((t - 1)*(t - 2) + 0.579033))); z = stk_feval ({@sin, @cos, G, F, 'tan'}, t, [], [], false); assert (isequal (z.colnames, {'sin' 'cos' 'F3' 'F4_1' 'F4_2' 'tan'})); 13 tests, 13 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_boundingbox.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_boundingbox.m ***** shared x, y, cn cn = {'a', 'b', 'c'}; x = [0 3 2; 1 4 1; 7 0 2]; ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y.data, [0 0 1; 7 4 2])); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_get_sample_size.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_get_sample_size.m ***** assert (stk_get_sample_size ([1 2; 3 4; 5 6]) == 3); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/ismember.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/ismember.m ***** shared A, B, BB, b i_max = 10; n = 100; d = 5; A = randi (i_max, n, d); levels = repmat ({1:i_max}, 1, d); levels{4} = 1:2:i_max; B = stk_factorialdesign (levels); BB = double (B); ***** test b = ismember (A, B); ***** assert (isequal (b, ismember (A, BB))); ***** test b = ismember (A, B, 'rows'); ***** assert (isequal (b, ismember (A, BB, 'rows'))); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_dataframe.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_dataframe.m ***** shared x, cn, rn, y, cn2, rn2 cn = {'x' 'y'}; rn = {'a'; 'b'; 'c'; 'd'}; x = stk_factorialdesign ({1:2, 1:2}, cn, rn); cn2 = {'xx' 'yy'}; rn2 = {'aa'; 'bb'; 'cc'; 'dd'}; ***** test y = stk_dataframe (x); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, [], rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, {}, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, {})) ***** assert (isequal (y.rownames, rn2)) 20 tests, 20 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/fieldnames.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/fieldnames.m ***** test x = stk_factorialdesign ({0:1, 3:5}, {'u' 'v'}); fn1 = sort (fieldnames (x)); fn2 = {'colnames'; 'data'; 'info'; 'levels'; ... 'rownames'; 'sample_size'; 'stk_dataframe'; 'u'; 'v'}; assert (isequal (fn1, fn2)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_factorialdesign.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_factorialdesign.m ***** test stk_test_class ('stk_factorialdesign') ***** test % constructor with two factors + column names x = stk_factorialdesign ({[0 1], [1 2 3]}, {'a', 'b'}); assert (isequal(x.colnames, {'a', 'b'})); assert (isequal(get (x, 'colnames'), {'a', 'b'})); ***** error stk_factorialdesign ('bouh'); ***** error stk_factorialdesign ({{'a' 'b'}}); ***** shared x, fmt fmt = stk_disp_getformat (); x = stk_sampling_regulargrid (3^2, 2); ***** test format rat; disp (x); : --- --- * : 0.0 0.0 * : 0.5 0.0 * : 1.0 0.0 * : 0.0 0.5 * : 0.5 0.5 * : 1.0 0.5 * : 0.0 1.0 * : 0.5 1.0 * : 1.0 1.0 ***** test format long; disp (x); : --- --- * : 0.0 0.0 * : 0.5 0.0 * : 1.0 0.0 * : 0.0 0.5 * : 0.5 0.5 * : 1.0 0.5 * : 0.0 1.0 * : 0.5 1.0 * : 1.0 1.0 ***** test format short; disp (x); format (fmt); : --- --- * : 0.0 0.0 * : 0.5 0.0 * : 1.0 0.0 * : 0.0 0.5 * : 0.5 0.5 * : 1.0 0.5 * : 0.0 1.0 * : 0.5 1.0 * : 1.0 1.0 ***** test disp (stk_sampling_regulargrid (0^1, 1)); Empty data frame with 0 rows and 0 columns ***** test disp (stk_sampling_regulargrid (0^2, 2)); Empty data frame with 0 rows and 0 columns ***** test display (x); x = <9x2 stk_factorialdesign array> : --- --- * : 0.0 0.0 * : 0.5 0.0 * : 1.0 0.0 * : 0.0 0.5 * : 0.5 0.5 * : 1.0 0.5 * : 0.0 1.0 * : 0.5 1.0 * : 1.0 1.0 ***** error length (stk_sampling_regulargrid (7^2, 2)) % not defined ***** shared x x = stk_factorialdesign ({[0 1], [0 1]}); ***** assert (isequal (x(2:end, :), x(2:4, :))) ***** assert (isequal (x(2, 1:end), x(2, :))) ***** assert (isequal (x(2:end, 2:end), x(2:4, 2))) ***** error x(1:end, 1:end, 1:end) ***** shared x, y x = stk_sampling_regulargrid (3^2, 2); y = x; ***** test %%%% vercat z = vertcat (x, y); assert (strcmp (class (z), 'stk_dataframe')); assert (isequal (double (z), [double(x); double(y)])); ***** test %%%% same thing, using cat(1, ...) z = cat (1, x, y); assert (strcmp (class (z), 'stk_dataframe')); assert (isequal (double (z), [double(x); double(y)])); ***** test %%%% horzcat y.colnames = {'y1' 'y2'}; z = horzcat (x, y); assert (strcmp (class (z), 'stk_dataframe')); assert (isequal (double (z), [double(x) double(y)])); ***** test %%%% same thing, using cat (2, ...) z = cat (2, x, y); assert (strcmp (class (z), 'stk_dataframe')); assert (isequal (double (z), [double(x) double(y)])); ***** error cat (3, x, y) ***** shared x, t x = stk_sampling_regulargrid (3^2, 2); t = double (x); ***** assert (isequal (apply (x, 1, @sum), sum (t, 1))) ***** assert (isequal (apply (x, 2, @sum), sum (t, 2))) ***** error u = apply (x, 3, @sum); ***** assert (isequal (apply (x, 1, @min, []), min (t, [], 1))) ***** assert (isequal (apply (x, 2, @min, []), min (t, [], 2))) ***** error u = apply (x, 3, @min, []); ***** assert (isequal (min (x), min (t))) ***** assert (isequal (max (x), max (t))) ***** assert (isequal (std (x), std (t))) ***** assert (isequal (var (x), var (t))) ***** assert (isequal (sum (x), sum (t))) ***** assert (isequal (mean (x), mean (t))) ***** assert (isequal (mode (x), mode (t))) ***** assert (isequal (prod (x), prod (t))) ***** assert (isequal (median (x), median (t))) ***** shared x1, x2, x3, u1, u2, u3 x1 = stk_sampling_regulargrid ([4 3], 2); u1 = double (x1); x2 = stk_sampling_regulargrid ([3 4], 2); u2 = double (x2); x3 = x1 + 1; u3 = u1 + 1; ***** test z = bsxfun (@plus, x1, u2); assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) ***** test z = bsxfun (@plus, u1, x2); assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) ***** test z = bsxfun (@plus, x1, x2); assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) ***** test z = min (x1, x2); assert (isequal (double (z), min (u1, u2))); ***** test z = max (x1, x2); assert (isequal (double (z), max (u1, u2))); ***** error z = min (x1, x2, 1); ***** error z = max (x1, x2, 1); ***** test z = x1 + x2; assert (isequal (double (z), u1 + u2)); ***** test z = x1 - x2; assert (isequal (double (z), u1 - u2)); ***** test z = x1 .* x2; assert (isequal (double (z), u1 .* u2)); ***** test z = x3 .\ x2; assert (isequal (double (z), u3 .\ u2)); ***** test z = x2 ./ x3; assert (isequal (double (z), u2 ./ u3)); ***** test z = x3 .^ x2; assert (isequal (double (z), u3 .^ u2)); ***** test z = realpow (x3, x2); assert (isequal (double (z), realpow (u3, u2))); ***** test z = (x1 == x2); assert (isequal (double (z), (u1 == u2))); ***** test z = (x1 ~= x2); assert (isequal (double (z), (u1 ~= u2))); ***** test z = (x1 <= x2); assert (isequal (double (z), (u1 <= u2))); ***** test z = (x1 >= x2); assert (isequal (double (z), (u1 >= u2))); ***** test z = (x1 < x2); assert (isequal (double (z), (u1 < u2))); ***** test z = (x1 > x2); assert (isequal (double (z), (u1 > u2))); ***** test z = x1 & x2; assert (isequal (double (z), u1 & u2)); ***** test z = x1 | x2; assert (isequal (double (z), u1 | u2)); ***** test z = xor (x1, x2); assert (isequal (double (z), xor (u1, u2))); ***** shared x x = stk_factorialdesign ({[0 1], [0 1 2]}); ***** assert (strcmp (class (x'), 'stk_dataframe')) ***** assert (strcmp (class (x.'), 'stk_dataframe')) 60 tests, 60 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_rescale.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_rescale.m ***** test x = stk_factorialdesign ({[1 2], [5 6]}); y = stk_factorialdesign ({[0 3], [0 3]}); z = stk_rescale (x, [1 5; 2 6], [0 0; 3 3]); assert (stk_isequal_tolabs (y, z)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/ndgrid.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/ndgrid.m ***** shared data data = stk_factorialdesign ({[0 1], [5 6 7]}); ***** test % nargout = 0 ndgrid (data); assert (isequal (ans, [0 0 0; 1 1 1])); ***** test % nargout = 1 x = ndgrid (data); assert (isequal (x, [0 0 0; 1 1 1])); ***** test % nargout = 2 [x, y] = ndgrid (data); assert (isequal ({x, y}, {[0 0 0; 1 1 1], [5 6 7; 5 6 7]})); ***** error % nargout = 3 [x, y, z] = ndgrid (data); ***** test data = stk_factorialdesign ({[], []}); [x, y] = ndgrid (data); assert (isequal ({x, y}, {[], []})); ***** test data = stk_factorialdesign ({[1:3]}); x = ndgrid (data); assert (isequal (x, [1; 2; 3])); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/uminus.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/uminus.m ***** test x = stk_factorialdesign ({1:3, 1:2}); y = stk_factorialdesign ({-(1:3), -(1:2)}); assert (isequal (-x, y)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_normalize.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_normalize.m ***** test x = stk_factorialdesign ({[1 2], [5 6]}); y = stk_factorialdesign ({[0 1], [0 1]}); assert (stk_isequal_tolabs (stk_normalize (x), y)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_boundingbox.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_boundingbox.m ***** shared x, y, cn cn = {'a', 'b', 'c'}; x = stk_factorialdesign ({[1 2], [3 4 5], [0 2 8]}, cn); ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y, stk_hrect ([1 3 0; 2 5 8], cn))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/ismember.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/ismember.m ***** shared n, box n = 5; box = stk_hrect (n); ***** assert (ismember (box(1, :), box)) ***** assert (ismember (box(2, :), box)) ***** assert (ismember (.5 * ones (1, 5), box)) ***** assert (~ ismember (box(1, :) - 1, box)) ***** assert (~ ismember (box(2, :) + 1, box)) ***** test y = double (box); y = [y; y + 2]; assert (isequal (ismember (y, box), [1; 1; 0; 0])) 6 tests, 6 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_dataframe.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_dataframe.m ***** shared x, cn, rn, y, cn2, rn2 cn = {'x' 'y'}; rn = {'lower_bounds'; 'upper_bounds'}; x = stk_hrect ([0 0; 1 1], cn); cn2 = {'xx' 'yy'}; rn2 = {'aa'; 'bb'}; ***** test y = stk_dataframe (x); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, [], rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, {}, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, {})) ***** assert (isequal (y.rownames, rn2)) 20 tests, 20 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_rescale.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_rescale.m ***** shared x x = rand (10, 4); y = stk_rescale (x, [], []); assert (stk_isequal_tolabs (x, y)); ***** test y = stk_rescale(0.5, [], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 1], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 2], []); assert (stk_isequal_tolabs (y, 0.25)); ***** test y = stk_rescale (0.5, [0; 2], [0; 1]); assert (stk_isequal_tolabs (y, 0.25)); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_normalize.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_normalize.m ***** shared x, box, y1, y2, y3, y4 n = 5; box = stk_hrect ([2; 3]); x = 2 + rand (n, 1); ***** error y1 = stk_normalize (); ***** test y2 = stk_normalize (x); ***** test y3 = stk_normalize (x, box); ***** test assert (~ any ((y2 < -10 * eps) | (y2 > 1 + 10 * eps))); ***** test assert (~ any ((y3 < -10 * eps) | (y3 > 1 + 10 * eps))); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/vertcat.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/vertcat.m ***** shared d, x, y d = 10; x = stk_hrect (d); y = double (x); ***** test z = vertcat (x, x); assert (isequal (size (z), [4 d])); assert (strcmp (class (z), 'stk_dataframe')); ***** test z = vertcat (x, y); assert (isequal (size (z), [4 d])); assert (strcmp (class (z), 'stk_dataframe')); ***** test z = vertcat (y, x); assert (isequal (size (z), [4 d])); assert (strcmp (class (z), 'stk_dataframe')); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_hrect.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_hrect.m ***** test stk_test_class ('stk_hrect') ***** shared dom ***** test dom = stk_hrect ([-1; 1], {'x'}); ***** assert (isequal (dom.colnames, {'x'})) ***** assert (isequal (dom.rownames, {'lower_bounds'; 'upper_bounds'})) ***** assert (isequal (dom.data, [-1; 1])) 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_boundingbox.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_boundingbox.m ***** shared x, y lb = rand (1, 5); ub = lb + 1; cn = {'a', 'b', 'c', 'd', 'e'}; x = stk_hrect ([lb; ub], cn); ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y, x)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/horzcat.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/horzcat.m ***** shared d, x1, x2, x3 d = 10; x1 = stk_hrect (d); x2 = double (x1); x3 = [1:d; 0:(d-1)]; % illegal bounds ***** test y1 = horzcat (x1, x1); assert (isequal (size (y1), [2 2*d])); assert (strcmp (class (y1), 'stk_hrect')); ***** test y2 = horzcat (x1, x2); assert (isequal (size (y2), [2 2*d])); assert (strcmp (class (y2), 'stk_hrect')); ***** test y3 = horzcat (x2, x1); assert (isequal (size (y3), [2 2*d])); assert (strcmp (class (y3), 'stk_hrect')); ***** test lastwarn ('') y4 = horzcat (x1, x3); assert (isequal (size (y4), [2 2*d])); assert (strcmp (class (y4), 'stk_dataframe')); [warn_msg, warn_id] = lastwarn (); assert (strcmp (warn_id, 'STK:stk_hrect:horzcat:IllegalBounds')) warning: Illegal bounds, the result is not an stk_hrect object. warning: called from horzcat at line 47 column 9 __test__ at line 4 column 5 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 814 column 31 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/subsref.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/subsref.m ***** test B = stk_hrect ([0 0 0 0; 1 2 3 4]); B = B(:, [1 3 4]); assert (strcmp (class (B), 'stk_hrect')); assert (isequal (double (B), [0 0 0; 1 3 4])); ***** test B = stk_hrect ([0 0 0 0; 1 2 3 4]); B = B(1, :); assert (strcmp (class (B), 'stk_dataframe')); assert (isequal (double (B), [0 0 0 0])); 2 tests, 2 passed, 0 known failure, 0 skipped [inst/sampling/stk_halfpintl.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_halfpintl.m ***** test % case #1 a = 1; b = 1; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (a_out == 1) assert (b_out == 1) assert (isempty (z_out)) ***** test % case #2: two lines, slopes not equal, already sorted a = [1; -1]; b = [0; 2]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #3: same as #2, but not sorted a = [-1; 1]; b = [ 2; 0]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #4: two lines, equal slopes, already sorted a = [0; 0]; b = [1; 2]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (a_out == 0) assert (b_out == 1) assert (isempty (z_out)) ***** test % case #5: same as #4, but not sorted a = [0; 0]; b = [2; 1]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (a_out == 0) assert (b_out == 1) assert (isempty (z_out)) ***** test % case #6: add a dominated line to #2 (the result does not change) a = [1; -1; 0]; b = [0; 2; 1]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #7: permutation of #6 a = [1; 0; -1]; b = [0; 1; 2]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #8: another permutation of #6 a = [0; 1; -1]; b = [1; 0; 2]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #9: same as #8, with some duplicated lines added a = [0; 1; 0; -1; 0; -1; 1]; b = [1; 0; 1; 2; 1; 2; 0]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) 9 tests, 9 passed, 0 known failure, 0 skipped [inst/sampling/@stk_sampcrit_eqi/stk_sampcrit_eqi.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_sampcrit_eqi/stk_sampcrit_eqi.m ***** shared F, M, EQI M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); warning: Something went wrong during the optimization crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt ***** test F = stk_sampcrit_eqi () % ending ";" omitted on purpose, to test disp F = | | model: -- (not instantiated) | quantile_order: 0.5 | point_batch_size: 1 | current_minimum: Inf | ***** assert (isempty (F.model)) ***** assert (isempty (get (F, 'model'))) ***** assert (F.quantile_order == 0.5) ***** assert (get (F, 'quantile_order') == 0.5) ***** assert (F.current_minimum == +inf) ***** assert (get (F, 'current_minimum') == +inf) ***** error F.toto ***** error get (F, 'toto') ***** error F.current_min = 1.234; % read-only ***** error F = set (F, 'current_min', 1.234); % read-only ***** error F.toto = 1.234; % field does not exist ***** error F = set (F, 'toto', 1.234); % field does not exist ***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) ***** test F = set (F, 'quantile_order', 0.8); assert (F.quantile_order == 0.8) ***** error F.quantile_order = 1.1; ***** error F.quantile_order = -0.1; ***** error F.quantile_order = [1 2]; ***** error F.current_minimum = 3.333; % read-only ***** error F.quantile_value = 2.222; % read-only ***** error EQI = feval (F, 1.0); ***** test F = stk_sampcrit_eqi (); F.model = M; assert (~ isempty (F.model)); ***** test F = stk_sampcrit_eqi (); F = set (F, 'model', M); assert (~ isempty (F.model)); ***** test F.model = []; % remove model assert (isempty (F.model)); assert (F.current_minimum == +inf); ***** test F = stk_sampcrit_eqi (M) % ending ";" omitted on purpose, to test disp F = | | model: | quantile_order: 0.5 | point_batch_size: 1 | current_minimum: 1.234 | ***** assert (isequal (F.model, M)) ***** assert (stk_isequal_tolrel (F.current_minimum, 1.234, 10 * eps)); ***** test EQI = feval (F, [1.0; 1.1; 1.2]); ***** assert (isequal (size (EQI), [3 1])) ***** assert (all (EQI >= 0)) ***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) ***** shared F, M, EQI prior_model = stk_model (); prior_model.lognoisevariance = 0.678; M = stk_model_gpposterior (prior_model, [1 2 3]', [1.234 3 2]'); ***** test F = stk_sampcrit_eqi (M); ***** assert (isequal (F.model, M)) ***** assert (stk_isequal_tolrel (F.current_minimum, 2.077997, 1e-5)); ***** test EQI = feval (F, [1.0; 1.1; 1.2]); ***** assert (isequal (size (EQI), [3 1])) ***** assert (all (EQI >= 0)) ***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) ***** shared F ***** test F = stk_sampcrit_eqi (stk_model ()); ***** assert (F.current_minimum == +inf); ***** error feval (F, 1.0); ***** shared F, M M = stk_model_gpposterior (stk_model (), [1 2 3]', [1.234 3 2]'); warning: Something went wrong during the optimization crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt ***** error F = stk_sampcrit_eqi (M, [], 0); ***** error F = stk_sampcrit_eqi (M, [], 1.5); ***** error F = stk_sampcrit_eqi (M, [], nan); ***** error F = stk_sampcrit_eqi (M, [], [10 20]); ***** test F = stk_sampcrit_eqi (M, [], 10); ***** assert (isequal (F.quantile_order, 0.5)); ***** assert (isequal (F.point_batch_size, 10)); ***** error F = stk_sampcrit_eqi (M, 0.8, 0); ***** error F = stk_sampcrit_eqi (M, 0.8, 1.5); ***** error F = stk_sampcrit_eqi (M, 0.8, nan); ***** error F = stk_sampcrit_eqi (M, 0.8, [10 20]); ***** test F = stk_sampcrit_eqi (M, 0.8, 5); ***** assert (isequal (F.quantile_order, 0.8)); ***** assert (isequal (F.point_batch_size, 5)); ***** shared F, M, EQI prior_model = stk_model (); prior_model.lognoisevariance = 0.678; M = stk_model_gpposterior (prior_model, [1 2 3]', [1.234 3 2]'); F = stk_sampcrit_eqi (M); ***** test F.point_batch_size = 10; % numeric ***** assert (isequal (F.point_batch_size, 10)) ***** test EQI = feval (F, [1.0; 1.1; 1.2]); ***** test F.point_batch_size = @(x, n) 100 - n; % function handle ***** assert (isa (F.point_batch_size, 'function_handle')) ***** test EQI = feval (F, [1.0; 1.1; 1.2]); ***** test F.point_batch_size = 'sin'; % char ***** assert (isa (F.point_batch_size, 'function_handle')) 63 tests, 63 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampcrit_ei_eval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampcrit_ei_eval.m ***** error EI = stk_sampcrit_ei_eval () % not enough args ***** error EI = stk_sampcrit_ei_eval (0) % not enough args ***** shared xi, zi, M_prior, xt, zp, EIref, EI1, EI2, EI3 xi = [0; 0.2; 0.7; 0.9]; zi = [1; 0.9; 0.6; 0.1]; M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); xt = stk_sampling_regulargrid (20, 1, [0; 1]); zp = stk_predict (M_prior, xi, zi, xt); EIref = stk_distrib_normal_ei (min (zi), zp.mean, sqrt (zp.var), true); ***** test % Current syntax (STK 2.4.1 and later) EI1 = stk_sampcrit_ei_eval (zp.mean, sqrt (zp.var), min (zi)); ***** assert (isequal (EI1, EIref)) 4 tests, 4 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_olhs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_olhs.m ***** shared x, n, d, box, permut n = 5; d = 2; box = [0 0; 1, 1]; permut = 1:2; ***** error x = stk_sampling_olhs(); ***** test x = stk_sampling_olhs(n); ***** test x = stk_sampling_olhs(n, d); ***** test x = stk_sampling_olhs(n, d, box); ***** test x = stk_sampling_olhs(n, d, box, permut); ***** error x = stk_sampling_olhs(n, d, box, permut, pi); ***** assert (isa (x, 'stk_dataframe')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_olhs (n, d, box); assert (isequal (x.colnames, cn)); ***** test for r = 1:5 n = 2 ^ (r + 1) + 1; d = 2 * r; x = stk_sampling_olhs (n, d); assert (isequal (size (x), [n d])); box = repmat ([-1; 1], 1, d); assert (stk_is_lhs (x, n, d, box)); x = double (x); w = x' * x; assert (stk_isequal_tolabs (w / w(1,1), eye (d))); end 10 tests, 10 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampcrit_ehvi_eval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampcrit_ehvi_eval.m ***** shared zr, zi zr = [1 1]; zi = [0.25 0.75; 0.5 0.5; 0.75 0.25]; ***** test % no improvement (1 computation) zp_mean = [0.6 0.6]; zp_std = [0 0]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, 0, 1e-12)); ***** test % guaranteed improvement (1 computation) zp_mean = [0 0]; zp_std = [0 0]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, 10 * 0.25 ^ 2)); ***** test % no improvement again (2 computations) zp_mean = [0.5 0.5; 0.6 0.6]; zp_std = [0 0; 0 0]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, [0; 0], 1e-12)); ***** test % no observation -> EHVI wrt zr zp_mean = [0.6 0.6]; zp_std = 0.01 * [1 1]; zi = []; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, (1 - 0.6)^2, 1e-12)); ***** test % no observation below zr -> EHVI wrt zr zp_mean = [0.6 0.6]; zp_std = 0.01 * [1 1]; zi = [2 2]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, (1 - 0.6)^2, 1e-12)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_nesteddesign.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_nesteddesign.m ***** shared x, n, dim, box, niter, levels n = [23; 14; 5; 2]; dim = 2; box = [0, 0; 4, 4]; niter = 10; levels = [10.1; 15.2; -9.3; 2.4; 17.5]; ***** error x = stk_sampling_nesteddesign (); ***** test x = stk_sampling_nesteddesign (n); ***** test x = stk_sampling_nesteddesign (n, dim); ***** test x = stk_sampling_nesteddesign (n, dim, box); ***** test x = stk_sampling_nesteddesign (n, dim, box, niter); ***** test x = stk_sampling_nesteddesign (n, dim, box, niter, levels); ***** assert ( isequal(size(x), [sum(n), dim + 1]) ); ***** assert ( isa(x, 'stk_dataframe') ); cn = [0; cumsum(n)]; for lev = 1:length(n), y = x( (cn(lev) + 1):(cn(lev + 1)), 1:dim ); assert (isequal (size (y), [n(lev) dim])); if lev > 1 assert ( isequal(z((end - n(lev) + 1):end, :), y) ); end if lev == length(n) assert (stk_is_lhs (y, n(lev), dim, box)); end z = y; end ***** assert (isequal (x.colnames{dim + 1}, 'Level')); levels = stk_dataframe(levels, {'t'}); box = stk_hrect(box, {'x1', 'x2', 'x3', 'x4'}); ***** test x = stk_sampling_nesteddesign (n, [], box, [], levels); ***** assert (isequal(x.colnames, {'x1', 'x2', 'x3', 'x4', 't'}) ); 11 tests, 11 passed, 0 known failure, 0 skipped [inst/sampling/@stk_sampcrit_akg/stk_sampcrit_akg.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_sampcrit_akg/stk_sampcrit_akg.m ***** shared F, M, AKG M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); warning: Something went wrong during the optimization crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt ***** test F = stk_sampcrit_akg () % ending ";" omitted on purpose, to test disp F = | | model: -- (not instantiated) | reference_grid: -- (use current evaluation points) | ***** assert (isempty (F.model)) ***** assert (isempty (get (F, 'model'))) ***** assert (isempty (F.reference_grid)) ***** assert (isempty (get (F, 'reference_grid'))) ***** error F.toto ***** error get (F, 'toto') ***** error F.toto = 1.234; % field does not exist ***** error F = set (F, 'toto', 1.234); % field does not exist ***** error AKG = feval (F, 1.0); ***** test F = stk_sampcrit_akg (); F.model = M; assert (isequal (F.model, M)); ***** test F = stk_sampcrit_akg (); F = set (F, 'model', M); assert (isequal (F.model, M)); assert (isequal (size (F.zr_mean), [3 1])) % n x 1 assert (isequal (size (F.zr_std), [3 1])) % n x 1 assert (isequal (size (F.zr_lambdamu), [4 3])) % (n+1) x n (constant mean) ***** test F.model = []; % remove model assert (isempty (F.model)); assert (isempty (F.zr_mean)) assert (isempty (F.zr_std)) assert (isempty (F.zr_lambdamu)) ***** test xr = [1 1.5 2 2.5 3]'; F.reference_grid = xr % ending ";" omitted on purpose, to test disp assert (isequal (F.reference_grid, xr)) assert (isempty (F.zr_mean)) assert (isempty (F.zr_std)) assert (isempty (F.zr_lambdamu)) F = | | model: -- (not instantiated) | reference_grid: <5x1 double array> | ***** test F.reference_grid = []; assert (isempty (F.reference_grid)) ***** test F = stk_sampcrit_akg (); F.model = M; assert (isequal (F.model, M)); xr = [1 1.5 2 2.5 3]'; F.reference_grid = xr % ending ";" omitted on purpose, to test disp assert (isequal (F.reference_grid, xr)) assert (isequal (size (F.zr_mean), [5 1])) % nr x 1 assert (isequal (size (F.zr_std), [5 1])) % nr x 1 assert (isequal (size (F.zr_lambdamu), [4 5])) % (n+1) x nr (constant mean) F = | | model: | reference_grid: <5x1 double array> | ***** test F.reference_grid = []; assert (isempty (F.reference_grid)) ***** test F = stk_sampcrit_akg (M) % ending ";" omitted on purpose, to test disp F = | | model: | reference_grid: -- (use current evaluation points) | ***** assert (isequal (F.model, M)) ***** test AKG = feval (F, [1.0; 1.1; 1.2]); ***** assert (isequal (size (AKG), [3 1])) ***** assert (all (AKG >= 0)) ***** test [AKG2, zp] = feval (F, [1.0; 1.1; 1.2]); assert (isequal (AKG2, AKG)); assert (isa (zp, 'stk_dataframe') && isequal (size (zp), [3 2])) ***** shared F, xr xr = [1 1.5 2 2.5 3]'; ***** test F = stk_sampcrit_akg (stk_model ()); ***** assert (isempty (F.reference_grid)) ***** test F.reference_grid = xr; ***** assert (isequal (F.reference_grid, xr)) ***** assert (isempty (F.zr_mean)) ***** assert (isempty (F.zr_std)) ***** assert (isempty (F.zr_lambdamu)) ***** error AKG = feval (F, 1.0); ***** shared F, M, xr xr = [1 1.5 2 2.5 3]'; M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); warning: Something went wrong during the optimization crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt ***** test F = stk_sampcrit_akg (M, xr); ***** assert (isequal (F.model, M)) ***** assert (isequal (F.reference_grid, xr)) ***** assert (isequal (size (F.zr_mean), [5 1])) % nr x 1 ***** assert (isequal (size (F.zr_std), [5 1])) % nr x 1 ***** assert (isequal (size (F.zr_lambdamu), [4 5])) % (n+1) x nr (constant mean) 37 tests, 37 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_vdc_rr2.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_vdc_rr2.m ***** error __stk_sampling_vdc_rr2__() % two inputs required ***** error __stk_sampling_vdc_rr2__(10) % two inputs required ***** error __stk_sampling_vdc_rr2__(10, 3, -1) % two inputs required ***** test n = 300; j = 25; x = __stk_sampling_vdc_rr2__(n, j); assert(isequal(size(x), [n 1])) ***** test x = __stk_sampling_vdc_rr2__(2000, 7); y = double (x(1998:2000, :)); yref = [0.849786281294525; 0.085080398941584; 0.555668634235701]; assert(stk_isequal_tolrel(y, yref, 1e-13)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_randomlhs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_randomlhs.m ***** shared x, n, dim, box n = 10; dim = 2; box = [0, 0; 1, 1]; ***** error x = stk_sampling_randomlhs (); ***** test x = stk_sampling_randomlhs (n); ***** test x = stk_sampling_randomlhs (n, dim); ***** test x = stk_sampling_randomlhs (n, dim, box); ***** assert (isa(x, 'stk_dataframe')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_randomlhs (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:5, x = stk_sampling_randomlhs(n, dim); assert(isequal(size(x), [n dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); assert(stk_is_lhs(x, n, dim)); end 8 tests, 8 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_halton_rr2.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_halton_rr2.m ***** error stk_sampling_halton_rr2 () % nargin < 1 ***** test n = 300; d = 25; x = stk_sampling_halton_rr2 (n, d); assert (isequal (size (x), [n d])) ***** test x = stk_sampling_halton_rr2 (1000, 3); y = double (x(end, :)); yref = [0.9052734375 0.028349336991312 0.74848]; assert (stk_isequal_tolrel (y, yref, 1e-13)); ***** test dim = 2; box = stk_hrect (dim); x = stk_sampling_halton_rr2 (5, dim, box); assert (isequal (x.colnames, {})); ***** test dim = 2; cn = {'W', 'H'}; box = stk_hrect (dim, cn); x = stk_sampling_halton_rr2 (5, dim, box); assert (isequal (x.colnames, cn)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_maximinlhs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_maximinlhs.m ***** shared x, n, dim, box, niter n = 20; dim = 2; box = [0, 0; 1, 1]; niter = 1; ***** error x = stk_sampling_maximinlhs (); ***** test x = stk_sampling_maximinlhs (n); ***** test x = stk_sampling_maximinlhs (n, dim); ***** test x = stk_sampling_maximinlhs (n, dim, box); ***** test x = stk_sampling_maximinlhs (n, dim, box, niter); ***** assert (isa (x, 'stk_dataframe')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_maximinlhs (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:5, x = stk_sampling_randomlhs (n, dim); assert (isequal (size (x), [n dim])); u = double (x); u = u(:); assert (~ any (isnan (u) | isinf (u))); assert ((min (u) >= 0) && (max (u) <= 1)); assert (stk_is_lhs (x, n, dim)); end 9 tests, 9 passed, 0 known failure, 0 skipped [inst/sampling/@stk_sampcrit_ei/stk_sampcrit_ei.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_sampcrit_ei/stk_sampcrit_ei.m ***** shared F, M, EI M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); warning: Something went wrong during the optimization crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt ***** test F = stk_sampcrit_ei () % ending ";" omitted on purpose, to test disp F = | | model: -- (not instantiated) | current_minimum: Inf | ***** assert (isempty (F.model)) ***** assert (isempty (get (F, 'model'))) ***** assert (F.current_minimum == +inf) ***** assert (get (F, 'current_minimum') == +inf) ***** error F.toto ***** error get (F, 'toto') ***** error F.current_min = 1.234; % read-only ***** error F = set (F, 'current_min', 1.234); % read-only ***** error F.toto = 1.234; % field does not exist ***** error F = set (F, 'toto', 1.234); % field does not exist ***** error EI = feval (F, 1.0); ***** test F = stk_sampcrit_ei (); F.model = M; assert (~ isempty (F.model)); ***** test F = stk_sampcrit_ei (); F = set (F, 'model', M); assert (~ isempty (F.model)); ***** test F.model = []; % remove model assert (isempty (F.model)); assert (F.current_minimum == +inf); ***** test F = stk_sampcrit_ei (M) % ending ";" omitted on purpose, to test disp F = | | model: | current_minimum: 1.234 | ***** assert (isequal (F.model, M)) ***** assert (F.current_minimum == 1.234); ***** test EI = feval (F, [1.0; 1.1; 1.2]); ***** assert (isequal (size (EI), [3 1])) ***** assert (all (EI >= 0)) ***** shared F ***** test F = stk_sampcrit_ei (stk_model ()); ***** assert (F.current_minimum == +inf); ***** error feval (F, 1.0); 24 tests, 24 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_nestedlhs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_nestedlhs.m ***** shared x, n, dim, box, niter, levels n = [48; 12; 4; 2]; dim = 2; box = [0, 0; 4, 4]; niter = 10; levels = [10.1; 15.2; -9.3; 2.4; 17.5]; ***** error x = stk_sampling_nestedlhs (); ***** test x = stk_sampling_nestedlhs (n); ***** test x = stk_sampling_nestedlhs (n, dim); ***** test x = stk_sampling_nestedlhs (n, dim, box); ***** test x = stk_sampling_nestedlhs (n, dim, box, niter); ***** test x = stk_sampling_nestedlhs (n, dim, box, niter, levels); ***** assert ( isequal(size(x), [sum(n), dim + 1]) ); ***** assert ( isa(x, 'stk_dataframe') ); cn = [0; cumsum(n)]; for lev = 1:length(n), y = x( (cn(lev) + 1):(cn(lev + 1)), 1:dim ); assert (isequal (size (y), [n(lev) dim])); assert (stk_is_lhs (y, n(lev), dim, box)); if lev > 1 assert ( isequal(z((end - n(lev) + 1):end, :), y) ); end z = y; end ***** assert (isequal (x.colnames{dim + 1}, 'Level')); levels = stk_dataframe(levels, {'t'}); box = stk_hrect(box, {'x1', 'x2', 'x3', 'x4'}); ***** test x = stk_sampling_nestedlhs (n, [], box, [], levels); ***** assert (isequal(x.colnames, {'x1', 'x2', 'x3', 'x4', 't'}) ); 11 tests, 11 passed, 0 known failure, 0 skipped [inst/sampling/@stk_function/stk_function.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_function/stk_function.m ***** shared F ***** test F = stk_function () % ending ";" omitted on purpose, to test disp F = ***** error [F F]; % arrays of sampling criterion objects are not supported ***** error [F; F]; % idem ***** error get (F, 'toto'); % field does not exist ***** error y = feval (F, 1.0); % not implemented for "pure" function objects ***** error dummy = F{2}; % illegal indexing ***** error dummy = F(1.0); % feval not implemented ***** error dummy = F.toto; % field does not exist ***** error F{2} = 1.234; % illegal indexing ***** error F(5) = 1.234; % illegal indexing ***** error F.toto = 1.234; % field does not exist 11 tests, 11 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampcrit_akg_eval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampcrit_akg_eval.m ***** shared zc_mean, zc_std, zr_mean, zr_std, zcr_cov, AKG, nc xi = [0; 0.2; 0.7; 0.9]; zi = [1; 0.9; 0.6; 0.1] - 10; ni = 4; M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); M_prior.lognoisevariance = 0.678; nc = 20; xc = stk_sampling_regulargrid (nc, 1, [0; 1]); [zp, ~, ~, K] = stk_predict (M_prior, xi, zi, [xi; xc]); ir = 1:ni; ic = ni + (1:nc); zc_mean = zp.mean(ic); zc_std = sqrt (zp.var(ic)); % reference grid: current evaluation points ("KGCP") zr_mean = zp.mean(ir); zr_std = sqrt (zp.var(ir)); zcr_cov = K(ic, ir); ***** test AKG = stk_sampcrit_akg_eval (zc_mean, zc_std, zr_mean, zr_std, zcr_cov); ***** assert (isequal (size (AKG), [nc 1])) ***** assert (all (AKG >= 0)) ***** error AKG = stk_sampcrit_akg_eval (zc_mean, zc_std, zr_mean, zr_std); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_randunif.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_randunif.m ***** shared x, n, dim, box n = 10; dim = 2; box = [0, 0; 2, 2]; ***** error x = stk_sampling_randunif (); ***** test x = stk_sampling_randunif (n); ***** test x = stk_sampling_randunif (n, dim); ***** test x = stk_sampling_randunif (n, dim, box); ***** assert (isa(x, 'stk_dataframe')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_randunif (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:5, x = stk_sampling_randunif(n, dim); assert(isequal(size(x), [n dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); end 8 tests, 8 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_regulargrid.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_regulargrid.m ***** shared x, n, dim, box n = 9; dim = 2; box = [0, 0; 1, 1]; ***** error x = stk_sampling_regulargrid (); ***** test x = stk_sampling_regulargrid (n); ***** test x = stk_sampling_regulargrid (n, dim); ***** test x = stk_sampling_regulargrid (n, dim, box); ***** assert (isa (x, 'stk_dataframe')); ***** assert (isa (x, 'stk_factorialdesign')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_regulargrid (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:3, n = 3^dim; x = stk_sampling_regulargrid(n, dim); assert(isequal(size(x), [n dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); end ***** test nn = [3 4 5]; for dim = 1:3, x = stk_sampling_regulargrid(nn(1:dim), dim); assert(isequal(size(x), [prod(nn(1:dim)) dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); end 10 tests, 10 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc04.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc04.m ***** test stk_example_misc04; close all; #==========================# # stk_example_misc04 # #==========================# 'stk_example_misc04' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc04.m STK_EXAMPLE_MISC04 Pareto front simulation DESCRIPTION We consider a bi-objective optimization problem, where the objective functions are modeled as a pair of independent stationary Gaussian processes with a Matern 5/2 anisotropic covariance function. Figure (a): represent unconditional realizations of the Pareto front and and estimate of the probability of being non-dominated at each point of the objective space. Figure (b): represent conditional realizations of the Pareto front and and estimate of the posteriorior probability of being non-dominated at each point of the objective space. EXPERIMENTAL FUNCTION WARNING This script uses the stk_plot_probdom2d function, which is currently considered an experimental function. Read the help for more information. REFERENCE [1] Michael Binois, David Ginsbourger and Olivier Roustant, Quantifying uncertainty on Pareto fronts with Gaussian Process conditional simu- lations, European J. of Operational Research, 2043(2):386-394, 2015. See also: stk_plot_probdom2d Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. line 0: warning: iconv failed to convert degree sign multiplot> set style increment default; ^ line 0: warning: deprecated command Proba. of being dominated simulated Pareto fronts--| || | * *##+% *$+%&@=*@@@@@@@| ++---+---+--+---+-+ ++||00% | * *##+% *$+%& =* + | ||###|###|##|###|#| || 1000 +|+*#*###%#*$#%&#=*####+-+| 1000 +---+#+###+##+#+---+ || #|#*#*###%#*$#%&#=*##### | |#################| || #|#*#*###%#*$#%&#=*##### | |#################| || #|#*#*###%#*$#%&#=*##### | |#################| ++||5% 500 +|+*#*###%#*$#%&&=*&&&&&&&| 500 +---+##########+---+ || #|#*#*###%#*==%===*$$$$$$$| |#################| || #|#*#*###%#*%%%%%=*%%%%%%%| |#################| || #|#***########%%%%%%%second objective|#################| ++||0% 0 +|+##*#####*##$##=@@@@@@@@| +---+##########+---+ || #|###*#####***$***********| |#################| || #|###**#******$**=********| |#################| || #|############$##=########| |#################| || #|############$##=###### | -500 |#################| ++||5% -500 +|+###########$$$$$$$$$$$$| +---+##########+---+ || #|###################### | |#################| || #|########################| |+###+###+##+###+#| || #|------------------------| -1000 +|---|---|--|---|-+ || -1000 +-++####+####+###+####++-+ +---+-100001000+---+ ++-0% -2000-1000 0 1000 2000 first objective first objective 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc05.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc05.m ***** test stk_example_misc05; close all; assert (isa (model.lognoisevariance, 'stk_gaussiannoise_het0')); #==========================# # stk_example_misc05 # #==========================# 'stk_example_misc05' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc05.m STK_EXAMPLE_MISC05 Parameter estimation for heteroscedastic noise variance DESCRIPTION We consider a 1d prediction problem with noisy data, where the variance of the noise depends on the input location. A simple heteroscedastic model is used, where the only parameter to be estimated is a dispersion parameter (the square of a scale parameter). More preciesely, the variance of the noise is assumed to be of the form tau^2(x) = phi * (x + 1) ^ 2, and the dispersion parameter phi is estimated together with the parameters of the covariance function. EXPERIMENTAL FEATURE WARNING This script demonstrates an experimental feature of STK (namely, gaussian noise model objects). STK users that wish to experiment with it are welcome to do so, but should be aware that API-breaking changes are likely to happen in future releases. We invite them to direct any questions, remarks or comments about this experimental feature to the STK mailing list. See also: stk_example_kb09 Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov52_iso lm = dim = 1 param = 0.066833 0.707310 lognoisevariance = gn = | | Heteroscedastic variance model: tau^2(x) = dispersion * variance_function(x) | | dispersion: 2.4169 [log_dispersion = 0.8825] | variance_function: @(x) (x + 1) .^ 2 | 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc02.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc02.m ***** test stk_example_misc02; close all; #==========================# # stk_example_misc02 # #==========================# 'stk_example_misc02' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc02.m STK_EXAMPLE_MISC02 How to use priors on the covariance parameters A Matern covariance in dimension one is considered as an example. A Gaussian prior is used for all three parameters: log-variance, log-regularity and log- inverse-range. The corresponding parameter estimates are Maximum A Posteriori (MAP) estimates or, more precisely, Restricted MAP (ReMAP) estimates. Several values for the variance of the prior are successively considered, to illustrate the effect of this prior variance on the parameter estimates. When the variance is small, the MAP estimate is close to the mode of the prior. On the other hand, when the variance is large, the prior becomes "flat" and the MAP estimate is close to the ReML estimate (see figure b). Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. line 0: warning: iconv failed to convert degree sign | prior std = 10.00 | prior std = 1.00 3 +|+ 4 +|+ #### %|%## ####%%%% 3 +|+# ##%%%%% 2 +|+&&&%&&&%######%&&&&&&&& 2 +|+&&%##%%%######%%&&&&&&& 1 +|+#==GG==&&%###&&&######& 1 +|+#&&GG==&&%###&&&&#####& =|===&&&&====G=G=====predicted outpu| z===&&====G=G========== 0 +|+&&&##%&&&&&&&&&&######& 0 +|+&&&##%&&&&&&&&&&######& -1 +|+%#############%&&&&&&&& -1 +|+%#############%&&&&&&&& +|------------------------- -2 +|------------------------- -2 +-+##+####+####+####+### + -3 +-+##+####+####+####+####+ 0 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 1 | prior std = 0.20 | prior std = 0.01 6 +|+ 6 +|+ | ### | # 4 +|+#################%%%%%% 4 +|+##################%%%%% 2 +|+%####&&%######%&&&&&&&& 2 +|+#####%%########&&&&&&&& &|&&==GG=====&&======predicted outpu| z&=GG=====#%=========== 0 +|+==&###%&&=G=G&&&&#####& 0 +|+===####%&=G=G&&&&&&###& -2 +|+&%#############%&&&&&&& -2 +|+&###############%%&&&&& +|------------------------- +|------------------------- -4 +-+##+####+####+####+### + -4 +-+##+####+####+####+### + 0 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 1 input x input x 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc01.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc01.m ***** test stk_example_misc01; close all; #==========================# # stk_example_misc01 # #==========================# 'stk_example_misc01' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc01.m STK_EXAMPLE_MISC01 Several correlation functions from the Matern family The Matern 1/2 correlation function is also known as the "exponential correla- tion function". This is the correlation function of an Ornstein-Ulhenbeck pro- cess. The Matern covariance function tends to the Gaussian correlation function when its regularity (smoothness) parameter tends to infinity. See also: stk_materncov_iso, stk_materncov_aniso Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc03.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc03.m ***** test stk_example_misc03; close all; #==========================# # stk_example_misc03 # #==========================# 'stk_example_misc03' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc03.m STK_EXAMPLE_MISC03 How to deal with (known) seasonality Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov52_iso lm = dim = 1 param = 1.3128 -1.6669 lognoisevariance = -4.6813 model2 = scalar structure containing the fields: covariance_type = @stk_materncov52_iso lm = @(t) [ones(length (t), 1), sin(2 * pi * t / T0), cos(2 * pi * t / T0)] dim = 1 param = -9.6703 -8.1781 lognoisevariance = -4.6691 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe03.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe03.m ***** test stk_example_doe03; close all; #=========================# # stk_example_doe03 # #=========================# 'stk_example_doe03' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe03.m STK_EXAMPLE_DOE03 A simple illustration of 1D Bayesian optimization Our goal here is to optimize (maximize) the one-dimensional function x |--> x * sin (x) over the interval [0; 4 * pi]. A Matern 5/2 prior with known parameters is used. Evaluations points are chosen sequentially using the Expected Improvement (EI) criterion, starting from an initial design of N0 = 3 points. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. line 0: warning: iconv failed to convert degree sign | 15 +|+ 10 +|+ ####%%%%%%%%%%%##### ################ 5 +|+%&&&&&&&&&&&&&&&&&&&&&&%#######%===========&&&&&%%%##### 0 +|+*====F========########&&&&&#====&#########===##&&&&&&%%# z &|&***************************G***********************##&&&& -5 +|+&&&&&&##############====&&###&&&&&&############===*******G -10 +|+###%%&&&&&&&&&&&&&&&&%%#########%%&&&&&&&&&&&&&&&=======# -15 +|------------------------------------------------------------ -20 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 1 +|+ + + + + + +-+| +| ***F******** + + + + +| 0.8 +|+#**##########******####################################+-+| 0.6 +|+*##################***############***********##########+-+| EI 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+|+*****G******G**&&%####%%%%%&***&&##########****###&&&&%# z #|&&&&&%########&*****G&&&****G*&%#############&=******#&&&% -5 +|+###############&&&&*****=&&##################%===##******G -10 +|+#####################%%%%######################%====&&==== +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.00014 +|+ + + + + + +-+| 0.00012 +|+ + + + F + + +-+| 0.0001 +|+################################**#####################+-+| 8e-05 +|+################################**#####################+-+| #|#################################*#*##################### | 6e-05 +|+################################*#*####################+-+| 4e-05 +|+################################*#*#############***####+-+| 2e-05 +|-----------------------------------------------------------| 0 ***********************************##**************###******* 0 2 4 6 8 10 12 x : x z x0(001) : 0.00000 0.00000 x0(002) : 6.00000 -1.67649 x0(003) : 12.00000 -6.43888 xg(057) : 1.68421 1.67339 xg(099) : 2.94737 0.56886 xg(282) : 8.45113 6.98861 xg(299) : 8.96241 3.99788 xg(268) : 8.03008 7.90589 xg(258) : 7.72932 7.66935 xg(265) : 7.93985 7.91060 xg(266) : 7.96992 7.91642 xg(145) : 4.33083 -4.01937 Number of evaluations: 3 + 9 = 12. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe02.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe02.m ***** test stk_example_doe02; close all; #=========================# # stk_example_doe02 # #=========================# 'stk_example_doe02' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe02.m STK_EXAMPLE_DOE02 "Sequential Maximin" design In this example, a two-dimensional space-filling design is progressively enriched with new points using a "sequential maximin" approach. More precisely, the k-th point X(k, :) is selected to maximize the distance to the set of all previously selected points X(1, :), X(2, :), ..., X(k-1, :). NOTES: * The resulting design is NOT optimal with respect to the maximin criterion (separation distance). * This procedure is not truly a *sequential* design procedure, since the choice of the k-th point X(k, :) does NOT depend on the response at the previously selected locations X(i, :), i < k. REFERENCE [1] Emmanuel Vazquez and Julien Bect, "Sequential search based on kriging: convergence analysis of some algorithms", In: ISI - 58th World Statistics Congress of the International Statistical Institute (ISI'11), Dublin, Ireland, August 21-26, 2011. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. line 0: warning: iconv failed to convert degree sign gnuplot> " font ":Bold,10" textcolor rgb " ^ line 0: invalid command |----------------------n = 10, fd = 2.97e-01-------------------------| 1 +|+ + + F + + +-+| +| + + + F + +| #|################################################################### | #|###############F################################################### | 0.8 +|+#################################################################+-+| #|###########################################F####################### | #|################################################################### | 0.6 +|+#F###############################################################+-+| #|#######################F########################################### | #|##############################################################F#### | 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#|###############F################################################### | 0.8 +|+#################################################################+-+| #|###########################################F####################### | #|################################################################### | 0.6 +|+#F###############################################################+-+| #|#######################F########################################### | #|##############################################################F#### | #|################################################################### | 0.4 +|+#################################################################+-+| #|######################################F############################ | #|################################################################### | 0.2 +|+######F##########################################################+-+| #|#########################################################F######### | #|################################################################### | +|---------------------------------------------------------------------| 0 +-+###########+#############+#############+#############+###########+-+ 0 0.2 0.4 0.6 0.8 1 line 0: warning: iconv failed to convert degree sign gnuplot> " font ":Bold,10" textcolor rgb " ^ line 0: invalid command |----------------------n = 12, fd = 2.94e-01-------------------------| 1 F|+ + + F + + +-+| +| + + + F + +| #|################################################################### | #|###############F################################################### | 0.8 +|+#################################################################+-F| #|###########################################F####################### | #|################################################################### | 0.6 +|+#F###############################################################+-+| #|#######################F########################################### | 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#|################################################################### | #|###############F################################################### | 0.8 +|+#################################################################+-F| #|###########################################F####################### | #|################################################################### | 0.6 +|+#F###############################################################+-+| #|#######################F########################################### | #|##############################################################F#### | #|################################################################### | 0.4 +|+#################################################################+-+| #|######################################F############################ | #|################################################################### | 0.2 +|+######F##########################################################+-+| #|#########################################################F######### | #|################################################################### | +|---------------------------------------------------------------------| 0 F-+###########+#############+#############+#############+###########+-+ 0 0.2 0.4 0.6 0.8 1 line 0: warning: iconv failed to convert degree sign gnuplot> " font ":Bold,10" textcolor rgb " ^ line 0: invalid command |----------------------n = 14, fd = 2.41e-01-------------------------| 1 F|+ + + F + + +-+| +| + + + F + +| #|################################################################### | #|###############F################################################### | 0.8 +|+#################################################################+-F| #|###########################################F####################### | #|################################################################### | 0.6 +|+#F###############################################################+-+| 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2.30e-01-------------------------| 1 F|+ + + F + + +-+| +| + + + F + +| #|################################################################### | #|###############F################################################### | 0.8 +|+#################################################################+-F| #|###########################################F####################### | #|################################################################### | 0.6 +|+#F###############################################################+-+| #|#######################F########################################### | #|##############################################################F#### | #|################################################################### | 0.4 +|+#################################################################+-+| #|######################################F############################ | #|################################################################### | 0.2 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0: invalid command |----------------------n = 17, fd = 2.27e-01-------------------------| 1 F|+ + + F + + +-F| +| + + + F + +| #|################################################################### | #|###############F################################################### | 0.8 +|+#################################################################+-F| #|###########################################F####################### | #|################################################################### | 0.6 +|+#F###############################################################+-+| #|#######################F########################################### | #|##############################################################F#### | #|################################################################### | 0.4 +|+#################################################################+-+| #|######################################F############################ | 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#|################################################################### | 0.6 +|+#F###############################################################+-+| #|#######################F########################################### | #|##############################################################F#### | #|################################################################### | 0.4 +|+#################################################################+-+| #|######################################F############################ | #|################################################################### | 0.2 +|+######F###############F##########################################+-+| #|#########################################################F######### | #|################################################################### | +|---------------------------------------------------------------------| 0 F-+###########+##F##########+#############+#####F#######+###########+-F 0 0.2 0.4 0.6 0.8 1 line 0: warning: iconv failed to convert degree sign gnuplot> " font ":Bold,10" textcolor rgb " ^ line 0: invalid command |----------------------n = 19, fd = 2.14e-01-------------------------| 1 F|+ + + F + + +-F| +| + + + F + +| #|################################################################### | #|###############F################################################### | 0.8 +|+#################################################################+-F| #|###########################################F####################### | #|################################################################### | 0.6 +|+#F###############################################################+-+| #|#######################F########################################### | #|###############################################F##############F#### | #|################################################################### | 0.4 +|+#################################################################+-+| #|######################################F############################ | #|################################################################### | 0.2 +|+######F###############F##########################################+-+| #|#########################################################F######### | #|################################################################### | +|---------------------------------------------------------------------| 0 F-+###########+##F##########+#############+#####F#######+###########+-F 0 0.2 0.4 0.6 0.8 1 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe04.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe04.m ***** test stk_example_doe04; close all; #=========================# # stk_example_doe04 # #=========================# 'stk_example_doe04' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe04.m STK_EXAMPLE_DOE04 Probability of misclassification The upper panel shows posterior means and variances as usual, and the threshold of interest, which is at T = 0.85 (dashed line). The lower panel shows the probability of misclassification as a function of x (blue curve), i.e., the probability that the actual value of the function is not on the same side of the threshold as the prediction (posterior mean). We also plot the expected future probability of misclassification (magenta curve), should a new evaluation be made at x = 3. Note that both probabilities are obtained using stk_pmisclass. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe05.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe05.m ***** test stk_example_doe05; close all; #=========================# # stk_example_doe05 # #=========================# 'stk_example_doe05' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe05.m STK_EXAMPLE_DOE05 A simple illustration of 1D Bayesian optimization Our goal here is to minimize the one-dimensional function x |--> x * sin (x) over the interval [0; 4 * pi], using noisy evaluations. Evaluations points are chosen sequentially using either AKG criterion (default) or the EQI criterion (set SAMPCRIT_NAME to 'EQI'); Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,11" textcolor rgb " ^ line 0: invalid command | n = 5 + 0 = 5. 15 +|+ 10 +|+#%%%%%### ###%%%%## &|&&&&&&&&&&%#######%%%%%########%%&========&&&&&&%%%###### 5 +|+****####&&&&&&&&&&&&&&&&&&%&&&====##******G*##&&&&&&%### z 0 +|+===*********G*****#######&&**********###&&&=******#&&&&%## -5 +|+&&&&&&&&&&&&&&&==**********G&&###&&&&&&&%%%&&===#****#&&&& #|###%%%%%%%%%%%%&&&&&&&&&&&&&&%%&&&&%%%#########%===&##****G -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+#########+ 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.06 +|+ + + + + + +-+| 0.05 +|+ + + + + + *F*+-+| #|#####################################################*#*# | 0.04 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+-+#######+#########+#########+#########+#########+###%%G## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.03 +|+ + + + + + +-+| 0.025 +|+ + + + + +F* * +-+| #|################################################*#*##*### | 0.02 +|+###############################################*##*#*##+-+| AKG0.015 +|+##############################################*###*#*##+-+| 0.01 +|+##############################################*###*#*##**+| #|##############################################**###***#*** | 0.005 +|-----------------------------------------------------------| 0 *********************####***********************##+####**#+-+ 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 10 = 15. 20 +|+ ### #### |##%%%%%%## ###### ##%%%%%%%# 10 +|+&&&&&&&&&%#####%%%&&&&%%######%&&&&====&&&%############# G|***######&&&&&&&&&&###&&&&&%%&&======******G=&&########## z 0 +|+=***********G**************G*********###&&*****&######## #|&&&&######&&&&&&#===========&&&&#####&&&&%%#&&&**G&#####%&G -10 +|+#%%&&&&&&%%###%&&&&&&&&&&&%#%%&&&&&&%%########%&G**GG*GG*G +|------------------------------------------------------------ -20 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.08 +|+ + + + + + F +-+| +| + + + + + *** +| 0.06 +|+#################################################*#*##**-+| #|##################################################*#*##** | AKG0.04 +|+###################**############################*##*#*+*+| #|###################**#*##########################*###**##* | 0.02 +|+#################**###*#########################*###**#+*+| +|-----------------------------------------------------------| 0 ********##**********+######************************####**#+-* 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 15 = 20. 20 +|+ ### #### 15 +|+##%%%%%## ##%%%%%%## 10 +|+&&&&&&&&%%####################%%&&&&&&&&&%############## 5 +|+########&&&%#################&&&==========&&%########### z G|***********===&&&&&%###%%%&&&&==***********G**&&######### 0 +|+=########***G****===&&&&=**G****######&&&&&&***&%####### G -5 +|+&&&&&&&&&&&&&&&&****G****&&&&&&&&&&&&&&%%###&&**G*G%##%G** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+###%&G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.08 +|+ + + + + + +-+| 0.07 +|+ + + + + + F +-+| 0.06 +|+#################################################***##**-+| 0.05 +|+#################################################*#*##**-+| AKG0.04 +|+#################################################*##**#*-+| 0.03 +|+#################################################*##**#+*+| 0.02 +|+################################################*###**#+*+| 0.01 +|-----------------------------------------------------------| 0 *******###**************************#***************###*##+-* 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 20 = 25. 20 +|+ 15 +|+ ####### ####%### 10 +|+&&&&&&&%%######################%%&&&&&&&%############### 5 +|+&#####&&&&&%#################%&&==========&&############ z G|***********===&&&&%%####%%%&&&==***********G*=&%######### 0 +|+=&#######***G****===&&&&=**G****####&&&&&&&&***&%####### G -5 +|+%&&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%%####%&**G*G%##GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+#####G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.05 +|+ + + + + + +-+| +| + + + + + F +| 0.04 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+|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+#####G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.025 +|+ + + + + + +-+| +| + + + + + F ** +| 0.02 +|+##################################################**##**-+| 0.015 +|+#################################################*#*##**-+| AKG #|##################################################*#*##** | 0.01 +|+#################################################*#*#*#*-+| 0.005 +|+#################################################*##**#+*+| +|-----------------------------------------------------------| 0 ********#***********+######*************************###**#+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 30 = 35. 20 +|+ 15 +|+ ####### ######## 10 +|+&&&&&&&%%######################%%&&&&&&&%############### 5 +|+&#####&&&&&%#################%&&==========&&############ z G|***********===&&&&%%#####%%&&&==***********G*=&%######### 0 +|+=&#######***G****===&&&&=**G****####&&&&&&&&***&%####### G -5 +|+%%&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%%####%&**G*G###GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+#####G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.04 +|+ + + + + + +-+| +| + + + + + ** F* +| 0.03 +|+##################################################**##**-+| #|##################################################*#*#*#* | AKG0.02 +|+#################################################*#*#*#*-+| #|##################################################*##**##* | 0.01 +|+#################################################*##**#+*+| +|-----------------------------------------------------------| 0 ****************************************************###*##+-* 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 35 = 40. 20 +|+ 15 +|+ ####### ######## 10 +|+&&&&&&&%%######################%%&&&&&&&%############### 5 +|+&#####&&&&&%#################%&&==========&&############ z G|***********===&&&&%%#####%%&&&==***********G*=&%######### 0 +|+=&#######***G****===&&&&=**G****####&&&&&&&&***&%####### G -5 +|+%%&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%%####%&**G*G###GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+#####G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.04 +|+ + + + + + +-+| 0.035 +|+ + + + + + F +-+| 0.03 +|+##################################################**##**-+| 0.025 +|+##################################################**##**-+| AKG 0.02 +|+#################################################*#*#*#*-+| 0.015 +|+#################################################*##**#*-+| 0.01 +|+#################################################*##**#+*+| 0.005 +|-----------------------------------------------------------| 0 ****************************************************###*##+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 40 = 45. 20 +|+ 15 +|+ ####### ######## 10 +|+&&&&&&&%%######################%%&&&&&&&%############### 5 +|+&#####&&&&&%#################%&&==========&&############ z G|***********===&&&&%%#####%%&&&==***********G*=&%######### 0 +|+=&#######***G****===&&&&=**G****####&&&&&&&&***&%####### G -5 +|+%%&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%#####%&**G*G###GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+##G##G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.03 +|+ + + + + + +-+| 0.025 +|+ + + + + + F+-+| #|###################################################**##** | 0.02 +|+##################################################**##**-+| AKG0.015 +|+#################################################*#*#*#*-+| 0.01 +|+#################################################*#*#*#*-+| #|##################################################*##**#* | 0.005 +|-----------------------------------------------------------| 0 *********************#####**************************###*##+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 45 = 50. 20 +|+ 15 +|+ ####### ######## 10 +|+&&&&&&&%%######################%%&&&&&&&%############### 5 +|+&#####&&&&&%#################%&&==========&&############ z G|***********===&&&&%%#####%%&&&==***********G*=&%######### 0 +|+=&#######***G****===&&&&=**G****####&&&&&&&&***&%####### G -5 +|+%%&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%#####%&**G*G###GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+##G##G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.012 +|+ + + + + + +-+| 0.01 +|+ + + + + + F *+-+| #|###################################################**##** | 0.008 +|+##################################################**##**-+| AKG0.006 +|+##################################################**##**-+| 0.004 +|+##################################################**#*#*-+| #|##################################################*#***#* | 0.002 +|-----------------------------------------------------------| 0 ********##**********+######**************************##**#*** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 50 = 55. 20 +|+ 15 +|+######## ###%%### 10 +|+&&&&&&&%%######################%%&&&&&&&&############### 5 +|+&######&&&&%#################%&&==========&&%########### z G|***********===&&&&%%####%%%&&&==***********G*=&&######### 0 +|+=&#######***G****===&&&&=**G****#####&&&&&&&***&%####### G -5 +|+%&&&&&&&&&&&&&&&****G****&&&&&&&&&&&&&%%####%&**G*G###GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+##G##G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.02 +|+ + + + + + +-+| +| + + + + + +| 0.015 +|+######################################################F+-+| #|###################################################*##**# | AKG 0.01 +|+#################################################*#*#*#*-+| #|##################################################*#**##* | 0.005 +|+#################################################*#**##*-+| +|-----------------------------------------------------------| 0 ********##**********+##*##**************************###*##*** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 55 = 60. 20 +|+ 15 +|+######## ###%%### 10 +|+&&&&&&&%%######################%%&&&&&&&&############### 5 +|+&######&&&&%#################%&&==========&&%########### z G|***********===&&&&%%####%%%&&&==***********G*=&&######### 0 +|+=&#######***G****===&&&&=**G****#####&&&&&&&***&%####### G -5 +|+%&&&&&&&&&&&&&&&****G****&&&&&&&&&&&&&%%####%&**G*G###GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+##G##G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.014 +|+ + + + + + +-+| 0.012 +|+ + + + + + F **+-+| 0.01 +|+##################################################**#**+-+| 0.008 +|+#################################################*#*#*#*-+| AKG #|##################################################*#*#*#* | 0.006 +|+#################################################*#*#*#*-+| 0.004 +|+#################################################*##*##*-+| 0.002 +|-----------------------------------------------------------| 0 *******###**********+######*********#***************###*##*** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 60 = 65. 20 +|+ 15 +|+ ####### ###%%### 10 +|+&&&&&&&%%######################%%&&&&&&&&############### 5 +|+&######&&&&%#################%&&==========&&############ z G|***********===&&&&%%####%%%&&&==***********G*=&&######### 0 +|+=&#######***G****===&&&&=**G****#####&&&&&&&***&%####### G -5 +|+%&&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%%####%&**G*G###GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+##G##G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.012 +|+ + + + + + * F+-+| 0.01 +|+ + + + + + ** **+-+| #|##################################################*#*#**# | 0.008 +|+#################################################*#*#*#*-+| AKG0.006 +|+#################################################*#*#*#*-+| 0.004 +|+#################################################*#**##*-+| #|##################################################*##*##* | 0.002 +|-----------------------------------------------------------| 0 *******###**********+######*********#***************###*##*** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 65 = 70. 20 +|+ 15 +|+ ####### ###%%### 10 +|+&&&&&&&%%######################%%&&&&&&&&############### 5 +|+&######&&&&%#################%&&==========&&############ z G|***********===&&&&%%####%%%&&&==***********G*=&&######### 0 +|+=&#######***G****===&&&&=**G****#####&&&&&&&***&%####### G -5 +|+%&&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%%####%&**G*G###GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+##G##G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.014 +|+ + + + + + +-+| 0.012 +|+ + + + + + F* **+-+| 0.01 +|+##################################################**#**+-+| 0.008 +|+#################################################*#*#*#*-+| AKG #|##################################################*#*#*#* | 0.006 +|+#################################################*##*##*-+| 0.004 +|+#################################################*##*##*-+| 0.002 +|-----------------------------------------------------------| 0 *******###**********+######*********#***************###*##**+ 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 70 = 75. 20 +|+ | ##%%%%### ##%%%%%## 10 +|+&&&&&&&&&%####################%&&&&====&&&%############# G|****#####&&&&&%%############%&&=====*******G=&%########## z 0 +|+===*********G**==&&&&&&&&&=G*******####&&&****&&######## #|%&&&&&&&&&&&&&&******G*******&&&&&&&&&&&%%##&&&**G&G###GG*G -10 +|+##%%%%%%%%####%&&&&&&&&&&&%##%%%%%%%##########%&G*GGG*GG*G +|------------------------------------------------------------ -20 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.014 +|+ + + + + + F+-+| 0.012 +|+ + + + + + ** **+-+| 0.01 +|+##################################################**#**+-+| 0.008 +|+#################################################*#*#*#*-+| AKG #|##################################################*#*#*#* | 0.006 +|+#################################################*##*##*-+| 0.004 +|+#################################################*##*##*-+| 0.002 +|-----------------------------------------------------------| 0 *******###**********+######*************************###*##**+ 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 75 = 80. 20 +|+ | ##%%%%### ##%%%%%## 10 +|+&&&&&&&&&%####################%&&&&====&&&%############# G|****#####&&&&&%%############%&&=====*******G=&%########## z 0 +|+===*********G**==&&&&&&&&&=G*******####&&&****&&######## #|%&&&&&&&&&&&&&&******G*******&&&&&&&&&&&%%##&&&**G&G###GG*G -10 +|+##%%%%%%%%####%&&&&&&&&&&&%##%%%%%%%##########%&G*GGG*GG*G +|------------------------------------------------------------ -20 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.012 +|+ + + + + + F* *+-+| 0.01 +|+ + + + + + ** **+-+| #|###################################################**#**# | 0.008 +|+#################################################*#*#*#*-+| AKG0.006 +|+#################################################*#*#*#*-+| 0.004 +|+#################################################*##*##*-+| #|##################################################*##*##* | 0.002 +|-----------------------------------------------------------| 0 *******###**********+######*********#***************###*##**+ 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 80 = 85. 20 +|+ | ##%%%%### ##%%%%%## 10 +|+&&&&&&&&&%####################%%&&&====&&&%############# G|****#####&&&&&%%############%&&====********G=&%########## z 0 +|+===*********G**==&&&&&&&&&=G*******###&&&&****&&######## #|%&&&&&&&&&&&&&&******G*******&&&&&&&&&&&%%##&&&**G&G###GG*G -10 +|+##%%%%%%%#####%&&&&&&&&&&&%###%%%%%%##########%&G*GGG*GG*G +|------------------------------------------------------------ -20 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.008 +|+ + + + + + F* *+-+| +| + + + + + ** ** +| 0.006 +|+##################################################**#**+-+| #|###################################################**#**# | AKG0.004 +|+#################################################*#*#*#*-+| #|##################################################*#*#*#* | 0.002 +|+#################***#***#########################*##*##*-+| +|-----------------------------------------------------------| 0 *******###+********#+######********###***************##*##*** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 85 = 90. 20 +|+ | ##%%%%### ##%%%%%## 10 +|+&&&&&&&&&%####################%&&&&====&&&%############# G|****#####&&&&&%%############%&&====********G=&%########## z 0 +|+===*********G**==&&&&&&&&&=G*******###&&&&****&&######## #|%&&&&&&&&&&&&&&******G*******&&&&&&&&&&&%%#%&&&**G&GG##GG*G -10 +|+###%%%%%%#####%&&&&&&&&&&&%###%%%%%%##########%&G*GGG*GG*G +|------------------------------------------------------------ -20 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.006 +|+ + + + + + +-+| 0.005 +|+ + + + + + F +-+| #|###################################################**#### | 0.004 +|+##################################################**##*+-+| AKG0.003 +|+##################################################**#**+-+| 0.002 +|+#################***#**###########################*#**#*-+| #|#####***#########**#***#*##########################*#**#* | 0.001 +|-----------------------------------------------------------| 0 ******####+********#+######********###***************##*##*** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 90 = 95. 20 +|+ | ##%%%%### #%%%%%%## 10 +|+&&&&&&&&&%####################%&&&&====&&&%############# G|****#####&&&&&%%############%&&=====*******G=&%########## z 0 +|+==**********G**==&&&&&&&&&=G********###&&&****&&######## #|%&&&&&&&&&&&&&&******G*******&&&&&&&&&&&%%##&&&**G&GG##GG*G -10 +|+##%%%%%%%%####%&&&&&&&&&&&%##%%%%%%%%#########%&G*GGG*GG*G +|------------------------------------------------------------ -20 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.004 +|+ + + + + + F +-+| +| + + + + + * +| 0.003 +|+##################################################**##*+-+| #|###################################################**#**# | AKG0.002 +|+#################**###############################*#***+-+| #|#####***##########***#***##########################*#***# | 0.001 +|+###**##*########*##***#**#######***###############*#**#*-+| +|-----------------------------------------------------------| 0 ******####+********#+######*******#####**************##*##*** 0 2 4 6 8 10 12 x : x z init001 : 0.00000 3.7039 init002 : 3.00000 -0.9473 init003 : 6.00000 -2.2710 init004 : 9.00000 3.4289 init005 : 12.00000 -9.2798 xg(186) : 11.15578 -14.9669 xg(179) : 10.73367 -11.6535 xg(190) : 11.39698 -9.4329 xg(200) : 12.00000 -2.5027 xg(171) : 10.25126 -6.1037 xg(171) : 10.25126 -10.1250 xg(171) : 10.25126 -6.7112 xg(193) : 11.57789 -12.8714 xg(183) : 10.97487 -11.6391 xg(195) : 11.69849 -10.0291 xg(177) : 10.61307 -7.3100 xg(077) : 4.58291 -6.5734 xg(178) : 10.67337 -10.1948 xg(192) : 11.51759 -8.0594 xg(192) : 11.51759 -6.1169 xg(178) : 10.67337 -8.2976 xg(191) : 11.45729 -7.0694 xg(178) : 10.67337 -9.4998 xg(191) : 11.45729 -10.3550 xg(178) : 10.67337 -10.2143 xg(192) : 11.51759 -11.8253 xg(177) : 10.61307 -7.0746 xg(192) : 11.51759 -9.2762 xg(177) : 10.61307 -7.0468 xg(192) : 11.51759 -9.1066 xg(178) : 10.67337 -8.3727 xg(191) : 11.45729 -9.6820 xg(178) : 10.67337 -10.4754 xg(191) : 11.45729 -9.4405 xg(178) : 10.67337 -12.3130 xg(191) : 11.45729 -8.4030 xg(178) : 10.67337 -11.5627 xg(191) : 11.45729 -10.6504 xg(178) : 10.67337 -7.3638 xg(191) : 11.45729 -10.2069 xg(178) : 10.67337 -8.0383 xg(191) : 11.45729 -7.1806 xg(178) : 10.67337 -9.6088 xg(191) : 11.45729 -9.0204 xg(178) : 10.67337 -14.8329 xg(191) : 11.45729 -11.4672 xg(178) : 10.67337 -11.7155 xg(191) : 11.45729 -11.2875 xg(178) : 10.67337 -13.1437 xg(191) : 11.45729 -7.0824 xg(178) : 10.67337 -10.9160 xg(191) : 11.45729 -7.0834 xg(184) : 11.03518 -12.4574 xg(189) : 11.33668 -11.1196 xg(190) : 11.39698 -9.4304 xg(189) : 11.33668 -10.8686 xg(189) : 11.33668 -9.8496 xg(189) : 11.33668 -8.9696 xg(189) : 11.33668 -10.7618 xg(178) : 10.67337 -9.2799 xg(178) : 10.67337 -10.6340 xg(189) : 11.33668 -10.3798 xg(189) : 11.33668 -7.0536 xg(189) : 11.33668 -11.2408 xg(178) : 10.67337 -11.8147 xg(189) : 11.33668 -8.4267 xg(178) : 10.67337 -9.3950 xg(189) : 11.33668 -9.9620 xg(178) : 10.67337 -8.1294 xg(189) : 11.33668 -10.0787 xg(178) : 10.67337 -12.9461 xg(189) : 11.33668 -15.8138 xg(178) : 10.67337 -7.0738 xg(178) : 10.67337 -12.4528 xg(189) : 11.33668 -7.3634 xg(189) : 11.33668 -8.2205 xg(178) : 10.67337 -7.2940 xg(189) : 11.33668 -11.3850 xg(178) : 10.67337 -9.8108 xg(189) : 11.33668 -9.7642 xg(178) : 10.67337 -8.3360 xg(178) : 10.67337 -10.5802 xg(189) : 11.33668 -9.6662 xg(189) : 11.33668 -11.3729 xg(178) : 10.67337 -8.5443 xg(178) : 10.67337 -9.6417 xg(178) : 10.67337 -11.4160 xg(189) : 11.33668 -12.5770 xg(178) : 10.67337 -7.2572 xg(179) : 10.73367 -6.3216 xg(179) : 10.73367 -12.0330 xg(179) : 10.73367 -14.4216 xg(189) : 11.33668 -11.3778 xg(189) : 11.33668 -10.0141 xg(189) : 11.33668 -14.6501 xg(179) : 10.73367 -7.8722 xg(179) : 10.73367 -10.7057 xg(179) : 10.73367 -8.6235 xg(180) : 10.79397 -10.7179 xg(179) : 10.73367 -10.0188 Number of evaluations: 5 + 95 = 100. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe06.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe06.m ***** test stk_example_doe06; close all; #=========================# # stk_example_doe06 # #=========================# 'stk_example_doe06' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe06.m STK_EXAMPLE_DOE06 Sequential design for the estimation of an excursion set In this example, we consider the problem of estimating the set Gamma = { x in X | f(x) > z_crit }, where z_crit is a given value, and/or its volume. In a typical "structural reliability analysis" problem, Gamma would represent the failure region of a certain system, and its volume would correspond to the probability of failure (assuming a uniform distribution for the input). A Matern 5/2 prior with known parameters is used for the function f, and the evaluations points are chosen sequentially using any of the sampling criterion described in [1] (see also [2], section 4.3). REFERENCE [1] B. Echard, N. Gayton and M. Lemaire (2011). AK-MCS: an active learning reliability method combining Kriging and Monte Carlo simulation. Structural Safety, 33(2), 145-154. [2] J. Bect, D. Ginsbourger, L. Li, V. Picheny and E. Vazquez (2012). Sequential design of computer experiments for the estimation of a probability of failure. Statistics and Computing, 22(3), 773-793. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. Volume (reference value): 20.30% data_init = <4x2 stk_dataframe array> : x z initial design #1 : 0.000000 0.00000 initial design #2 : 0.333333 -0.43063 initial design #3 : 0.666667 -0.66886 initial design #4 : 1.000000 -1.20558 line 0: warning: iconv failed to convert degree sign |-------------------------Groung truth----------------------------| 1 +|+ + + + + +-+| +| + + + + +| #|############################################################### | 0.5 +|+#############################################################+-+| #|############################################################### | #|############################################################### | $|$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$| 0 *|*****##***####***#######**#######**##########**########**#####+-+| #|####****########**#####**#########*##########*##########*###### | z #|#################***#***###########*########**##########**##### | -0.5 +|+##################***#############**######**############*####+-+| #|####################################**####**#############**#### | #|#####################################******###############**### | #|----------------------------+##############################**## | -1 +|***?***z = f(x), below zcrit|###############################*#+-+| #|###?###z = f(x), above zcrit|###############################*****| +|-----------------------------------------------------------------| -1.5 +-+##########+############+#############+############+##########+-+ 0 0.2 0.4 0.6 0.8 1 x Iteration #1 | Current sample size: n = 4 | Volume estimate (plugin): 0.00000 [ref: 0.20300] | Upper-bound on posterior std: 4.0808e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 4 +|+ ### | #%%%%%%%%%## ###%%%### ######## 2 +|+&&&&&&&&&&&&&&%#####%%&&&&&&&&&&&%#######%%&&&&&&&&%%### 0 +|+###F###################################################### z #|&&&&##########&***G*******************G*******************G -2 +|+%%&&&&&&&&&&&&%#####%&&&&&&&&&&&&&&%###%&&&&&&#####&&&&&& -4 +|+#####%%%%%##############%%%%%%%###########%%%&&&&&&&%%## +|------------------------------------------------------------ -6 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.4 +|+***F**** + + + + +-+| +|** **** + + + +| 0.3 +|*##########***##########################################+-+| #|#############**#########********######################### | criterion +|+#############**#######**######***######################+-+| #|###############*#####**##########**#########********##### | 0.1 +|+##############**####*############**######***######***##+-+| *|-----------------------------------------------------------| 0 *-+#########+#####*****#+###########+#******####+#######***** 0 0.2 0.4 0.6 0.8 1 x Iteration #2 | Current sample size: n = 5 | Volume estimate (plugin): 0.00000 [ref: 0.20300] | Upper-bound on posterior std: 3.0240e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 4 +|+ | ######## ######## 2 +|+##########%%#########%&&&&&&&&&&&%#######%%&&&&&&&&%%### 0 +|+########################################################## z #|%%%##%&&&&&&&&&***G*********F*********G*******************G -2 +|+####################%&&&&&&&&&&&&&&####%&&&&&&#####&&&&&& -4 +|+#########################%%%%%%###########%%%&&&&&&&%%## +|------------------------------------------------------------ -6 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.25 +|+ + + **F* + + +-+| +| + + *** *** + + +| 0.2 +|+######################**######***######################+-+| 0.15 +|+########*****########**#########*###########*****######+-+| #|########**###**#######*##########**########***###***##### | 0.1 +|**#####**#####*######**###########**######**#######**###+-+| 0.05 +|***####*######**#####*#############*#####**#########**##+-+| +|-----------------------------------------------------------| 0 **+#*****###+#####*****#+###########+#******####+########**** 0 0.2 0.4 0.6 0.8 1 x Iteration #3 | Current sample size: n = 6 | Volume estimate (plugin): 0.10010 [ref: 0.20300] | Upper-bound on posterior std: 2.8176e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 2 +|+ ####### 1 +|+ ###### #%%%# %%%%# ##%%%%%%%%%%# 0 +|+########################F################################# -1 +|+&&&&*************G***&&&&%###&===****G****########====&&&& z #|########%&&&&&&&%######################&&&****************G -2 +|+########################################%&&&&#######&&&&% -3 +|+##########################################%%&&&&&&&&&%%# -4 +|------------------------------------------------------------ -5 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + F * + + +-+| +| + + ** *** + + +| 0.4 +|+#######################***###*#*#######################+-+| 0.3 +|+######################**#*###*#**######################+-+| criterion #|######################**##*##**##*####################### | 0.2 +|+#####################*###**#*###**#####################+-+| 0.1 +|**###################**####*#*####*#####################+-+| +|-----------------------------------------------------------| 0 **+#******##+##*********+####***####+**********#+######****** 0 0.2 0.4 0.6 0.8 1 x Iteration #4 | Current sample size: n = 7 | Volume estimate (plugin): 0.11030 [ref: 0.20300] | Upper-bound on posterior std: 2.1125e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 2 +|+ ####### 1 +|+ #%%%%%%%%%%# 0 +|+#############################F############################ -1 +|+&&&&*************G**=&#######%==*****G*****#######====&&&& z #|########%&&&&&&&#######################&&&&***************G -2 +|+########################################%&&&&&######&&&&# -3 +|+###########################################%%&&&&&&&&%## -4 +|------------------------------------------------------------ -5 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + +* F + + +-+| +| + +* * + + +| 0.4 +|+######################*#####**#########################+-+| 0.3 +|+######################*#####***########################+-+| criterion #|#######################**####*#*######################### | 0.2 +|+#####################***####*#**#######################+-+| 0.1 +|**####################*#*####*##**######################+-+| +|-----------------------------------------------------------| 0 **+#*******#************+#******####***********#+######****** 0 0.2 0.4 0.6 0.8 1 x Iteration #5 | Current sample size: n = 8 | Volume estimate (plugin): 0.08850 [ref: 0.20300] | Upper-bound on posterior std: 1.9375e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 3 +|+ 2 +|+ ######## 1 +|+##########################################%%%&&&&&&%%### 0 +|+#######################F################################## z &|&&**G*************G****&######********G**************==&&&# -1 +|+#######&&&&&&&&%##################%%##%&&&&&#######******G -2 +|+#########################################%%&&&&&&&&&&&&&% -3 +|------------------------------------------------------------ -4 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + F + + +-+| +| + + * * + + +| 0.4 +|+######################**####*##########################+-+| 0.3 +|+######################**####*##########################+-+| criterion #|#######################**####*########################### | 0.2 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|-----------------------------------------------------------| 0.5 +|+ + + F + + +-+| +| + + * + + +| 0.4 +|+#######################*####*##########################+-+| 0.3 +|+#######################*####*##########################+-+| criterion #|########################*####*########################### | 0.2 +|+#######################*####*##########################+-+| 0.1 +|+#######################*####*##############*********###+-+| +|-----------------------------------------------------------| 0 **+#******##+#*******************************###+#######***** 0 0.2 0.4 0.6 0.8 1 x Iteration #7 | Current sample size: n = 10 | Volume estimate (plugin): 0.08580 [ref: 0.20300] | Upper-bound on posterior std: 1.8586e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 3 +|+ 2 +|+ ######## 1 +|+##########################################%%&&&&&&&%%### 0 +|+#######################F################################## z 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0.08590 [ref: 0.20300] | Upper-bound on posterior std: 1.8559e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 3 +|+ 2 +|+ ######## 1 +|+##########################################%%&&&&&&&%%### 0 +|+########################################################## z &|&&**G*************G****#######********G*********F*****=&&&# -1 +|+#######%&&&&&&%###################%%##%&&&&&########*****G -2 +|+##########################################%&&&&&&&&&&&&&# -3 +|------------------------------------------------------------ -4 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.2 +|+ + + + + +-+| +| + + + **F* +| 0.15 +|+############################################**##***####+-+| #|############################################**#####**#### | 0.1 +|+##########################################**#######*###+-+| #|**#######**################################*########**### | 0.05 +|***####******#############################**#########**#+-+| +|-----------------------------------------------------------| 0 **+#*****###+##*****************************####+########**** 0 0.2 0.4 0.6 0.8 1 x Iteration #9 | Current sample size: n = 12 | Volume estimate (plugin): 0.21180 [ref: 0.20300] | Upper-bound on posterior std: 2.2347e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1.5 +|+ 1 +|+ #### #|###########################################%&&&%&&&&&&%## 0.5 +|+&&###%&&&&&&%%#########*G**G*###########%==****G***#&&%# z 0 +|+###########################################F############## -0.5 +|+&&&&&************G***&########***&&&%%****&&%####%==***&% #|######%&&&####&&&&##############&*****G*&&&%########===***# -1 +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+###########+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + + F + ** +-+| +| + + + * + ** +| 0.4 +|+##########################################***#####**###+-+| 0.3 +|+##########################################*#*#####***##+-+| criterion #|###########################################*#*####**#*### | 0.2 +|+##########################################*#*####*##*##+-+| 0.1 +|+#########################################**#**###*##**#+-+| +|-----------------------------------------------------------| 0 **+#******##+#*******************************###****####***** 0 0.2 0.4 0.6 0.8 1 x Iteration #10 | Current sample size: n = 13 | Volume estimate (plugin): 0.21490 [ref: 0.20300] | Upper-bound on posterior std: 1.5658e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ 0.5 +|+ #%%%%%# #G***G%%### #|##################################################F######## 0 +|+***G*****##=====%#&****#####*G**######%***######&****&&% z -0.5 +|+&&%#&&&#*********G**&#########&***&&%G**&########%==***&% -1 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1.1316e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | ###### #*** 0.5 +|+&%####%&&&&&%##########*G**G#############&*G*&*G*####### 0 +|+#########################################F################ z %|&&&*G********#====&****#######***&#####&**&#######***&### -0.5 +|+#####&&####******G=&###########***&&&G**##########&**&&% -1 +|+######%&&&&&&&&&################&*****#############&****& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + + F + +-+| +| + + + * + * +| 0.4 +|+#########################################*######*######+-+| 0.3 +|+#########################################*######*######+-+| criterion #|##########################################*######*####### | 0.2 +|+#########################################*######*######+-+| 0.1 +|+#########################################**#####*######+-+| +|-----------------------------------------------------------| 0 **+#******##+#*********************************************** 0 0.2 0.4 0.6 0.8 1 x Iteration #12 | Current sample size: n = 15 | Volume estimate (plugin): 0.20270 [ref: 0.20300] | Upper-bound on posterior std: 9.7259e-02 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | ###### *** 0.5 +|+&%####%&&&&&%##########*G**G##############*G*&*G*####### 0 +|+################################################F######### z %|&&&*G********#====&****#######***&#####&**########***&### -0.5 +|+#####&&####******G=&###########***&&&G**##########&**&&% -1 +|+######%&&&&&&&&&################&*****#############&****& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + + + +-+| +| + 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+|+######%&&&&&&&&&################&*****#############&***&& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.35 +|+ + + + F + +-+| 0.3 +|+ + + + * + +-+| 0.25 +|+#########################################*#############+-+| 0.2 +|+#########################################*#############+-+| #|##########################################*############## | 0.15 +|+#########################################*######*######+-+| 0.1 +|**#######**###############################*######*######+-+| 0.05 +|-----------------------------------------------------------| 0 **+#******##+##********************************************** 0 0.2 0.4 0.6 0.8 1 x Iteration #14 | Current sample size: n = 17 | Volume estimate (plugin): 0.20300 [ref: 0.20300] | Upper-bound on posterior std: 9.3815e-02 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | ###### *** 0.5 +|+&%####%&&&&&%##########*G**G##############*G*&*G*####### 0 +|+################################################F######### z %|&&&*G********#====&****#######***&#####&**########***#### -0.5 +|+#####&&&###******G=&###########***&&&G**##########&**&%# -1 +|+######%&&&&&&&&&################&*****#############&***&& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.12 +|+ + + + + F +-+| 0.1 +|+ + + + + * +-+| #|#################################################*####### | 0.08 +|**#######**######################################*######+-+| 0.06 +|***#####****#####################################*######+-+| 0.04 +|*#*####**##**####################################*######+-+| #|##*####*####**###################################*####### | 0.02 +|-----------------------------------------------------------| 0 **+##****###+###********************************************* 0 0.2 0.4 0.6 0.8 1 x Iteration #15 | Current sample size: n = 18 | Volume estimate (plugin): 0.20300 [ref: 0.20300] | Upper-bound on posterior std: 9.3749e-02 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | ###### *** 0.5 +|+&%####%&&&&&%##########*G**G##############*G*&*G*####### 0 +|+F######################################################### z %|&&&*G********#====&****#######***&#####&**########***#### -0.5 +|+#####&&&###******G=&###########***&&&G**##########&**&%# -1 +|+######%&&&&&&&&&################&*****#############%***&& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.08 +|*F + + + + +-+| +|** ** + + + +| 0.06 +|***#####****############################################+-+| #|*#*#####*##**############################################ | 0.04 +|+#*####**###*###########################################+-+| #|##*####*####**########################################### | 0.02 +|+#*###**#####*##########################################+-+| +|-----------------------------------------------------------| 0 **+##****###+###********************************************* 0 0.2 0.4 0.6 0.8 1 x Iteration #16 | Current sample size: n = 19 | Volume estimate (plugin): 0.20300 [ref: 0.20300] | Upper-bound on posterior std: 3.5683e-02 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | *** 0.5 +|+########%%%%###########*G**G##############*G*&*G*####### 0 +|+########################################################## z #|##&=G******###====&****#######***&#####&**########***#### -0.5 +|+#####&&&#F*******G=&###########***&&&G**##########&**&%# -1 +|+######%&&&&&&&&&################&*****#############%***&& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.02 +|+ F* + + + +-+| +| *** + + + +| 0.015 +|+########*#**###########################################+-+| #|#########*##*############################################ | 0.01 +|+#######**##**##########################################+-+| #|########*####*########################################### | 0.005 +|+#######*####*##########################################+-+| +|-----------------------------------------------------------| 0 **********##+###********************************************* 0 0.2 0.4 0.6 0.8 1 x Iteration #17 | Current sample size: n = 20 | Volume estimate (plugin): 0.20300 [ref: 0.20300] | Upper-bound on posterior std: 1.1922e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | *** 0.5 +|+#######%%#%%%##########*G**G##############*G*&*G*####### 0 +|+#########F################################################ z #|##&*G**&&###&&****&****#######***&#####&**########***#### -0.5 +|+#############%&&*G*&###########***&&&G**##########&**&%# -1 +|+################################&*****#############%***&& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.35 +|+ + + + + +-+| 0.3 +|+ + + + + +-+| 0.25 +|+########*F*############################################+-+| 0.2 +|+########****###########################################+-+| #|#########****############################################ | 0.15 +|+#######*****###########################################+-+| 0.1 +|+#######*#*#**##########################################+-+| 0.05 +|-----------------------------------------------------------| 0 ***********#*##********************************************** 0 0.2 0.4 0.6 0.8 1 x Iteration #18 | Current sample size: n = 21 | Volume estimate (plugin): 0.20300 [ref: 0.20300] | Upper-bound on posterior std: 2.9104e-02 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | *** 0.5 +|+#######################*G**G##############*G*&*G*####### 0 +|+##########F############################################### z #|##&*G**&#####&****&****#######***&#####&**########***#### -0.5 +|+##############%&*G*&###########***&&&G**##########&**&%# -1 +|+################################&*****#############%***&& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.05 +|+ + + + + +-+| +| +F + + + +| 0.04 +|+##########**###########################################+-+| 0.03 +|+##########**###########################################+-+| #|###########**############################################ | 0.02 +|+##########**###########################################+-+| 0.01 +|+##########**###########################################+-+| +|-----------------------------------------------------------| 0 **************#********************************************** 0 0.2 0.4 0.6 0.8 1 x Iteration #19 | Current sample size: n = 22 | Volume estimate (plugin): 0.20300 [ref: 0.20300] | Upper-bound on posterior std: 7.7392e-05 [target: 5.000e-04] history = <22x5 stk_dataframe array> : x z vol_estim vol_err nmisclass initial design #1 : 0.000000 0.00000 NaN NaN NaN initial design #2 : 0.333333 -0.43063 NaN NaN NaN initial design #3 : 0.666667 -0.66886 NaN NaN NaN initial design #4 : 1.000000 -1.20558 0.0000 -0.2030 2030 MC point #04561 : 0.104156 -0.13301 0.0000 -0.2030 2030 MC point #08295 : 0.497600 0.26506 0.1001 -0.1029 1681 MC point #07112 : 0.446688 0.26125 0.1103 -0.0927 1415 MC point #08019 : 0.530475 0.00244 0.0885 -0.1145 1199 MC point #04402 : 0.426631 0.13161 0.0855 -0.1175 1175 MC point #04865 : 0.513959 0.15551 0.0858 -0.1172 1172 MC point #02982 : 0.429107 0.15026 0.0859 -0.1171 1171 MC point #05230 : 0.826869 0.43939 0.2118 0.0088 720 MC point #08438 : 0.767513 0.45115 0.2149 0.0119 119 MC point #00578 : 0.864370 0.01181 0.2017 -0.0013 13 MC point #02710 : 0.737750 0.16305 0.2027 -0.0003 3 MC point #01507 : 0.853767 0.15729 0.2030 0.0000 0 MC point #09267 : 0.736626 0.14971 0.2030 0.0000 0 MC point #02307 : 0.854312 0.15019 0.2030 0.0000 0 MC point #00630 : 0.042223 0.00842 0.2030 0.0000 0 MC point #00780 : 0.205790 0.14336 0.2030 0.0000 0 MC point #06412 : 0.196888 0.13531 0.2030 0.0000 0 MC point #09809 : 0.219862 0.13122 0.2030 0.0000 0 Final result: | Number of evaluations: 4 + 18 = 22. | Volume estimate (plugin): 20.3000% [ref: 20.3000%] 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe01.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe01.m ***** test stk_example_doe01; close all; #=========================# # stk_example_doe01 # #=========================# 'stk_example_doe01' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe01.m STK_EXAMPLE_DOE01 Examples of two-dimensional designs All designs are constructed on the hyper-rectangle BOX = [0; 2] x [0; 4]. Examples of the following designs are shown: a) Regular grid --> stk_sampling_regulargrid, b) "Maximin" latin hypercube sample --> stk_sampling_maximinlhs, c) RR2-scrambled Halton sequence --> stk_sampling_halton_rr2, d) Uniformly distributed random sample --> stk_sampling_randunif. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testfun_goldsteinprice.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_goldsteinprice.m ***** test % Use with nargin == 0 for visualisation stk_testfun_goldsteinprice (); close all; ***** assert (stk_isequal_tolabs ... (stk_testfun_goldsteinprice ([0, -1]), 3.0, 1e-12)) 2 tests, 2 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testfun_hartman4.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_hartman4.m ***** test x = [0.1873 0.1906 0.5566 0.2647 ; 0.18744768 0.19414868 0.558005333 0.26476409]; y = stk_testfun_hartman4 (x); assert (stk_isequal_tolabs (y, ... [-3.729722308557300; -3.729840440436292], 1e-15)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testcase_truss3.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testcase_truss3.m ***** shared tc, xd, n tc = stk_testcase_truss3 (); n = 5; xd = stk_sampling_randunif (n, [], tc.search_domain); ***** test v = stk_testfun_truss3_vol (xd, tc.constants); z = stk_testfun_truss3_bb (xd, tc.constants); assert (isequal (size (v), [n 1])); assert (isequal (size (z), [n 5])); ***** test F = stk_dataframe (zeros (n, 2), {'F1' 'F2'}); F(:, 1) = tc.constants.F1_mean + tc.constants.F1_std * randn (n, 1); F(:, 2) = tc.constants.F2_mean + tc.constants.F2_std * randn (n, 1); x = [xd F]; v = stk_testfun_truss3_vol (x, tc.constants); z = stk_testfun_truss3_bb (x, tc.constants); assert (isequal (size (v), [n 1])); assert (isequal (size (z), [n 5])); 2 tests, 2 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testfun_hartman6.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_hartman6.m ***** test x1 = [0.20169 0.150011 0.476874 0.275332 0.311652 0.657300]; y1 = -3.322368011391339; x2 = [0.20168952 0.15001069 0.47687398 0.27533243 0.31165162 0.65730054]; y2 = -3.322368011415512; y = stk_testfun_hartman6 ([x1; x2]); assert (stk_isequal_tolabs (y, [y1; y2], 1e-15)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testfun_hartman3.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_hartman3.m ***** test x1 = [0.1, 0.55592003, 0.85218259]; y1 = -3.862634748621772; x2 = [0.114614 0.554649 0.852547]; y2 = -3.862747199255087; y = stk_testfun_hartman3 ([x1; x2]); assert (stk_isequal_tolabs (y, [y1; y2], 1e-15)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb03.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb03.m ***** test stk_example_kb03; close all; #========================# # stk_example_kb03 # #========================# 'stk_example_kb03' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb03.m STK_EXAMPLE_KB03 Ordinary kriging in 2D An anisotropic Matern covariance function is used for the Gaussian Process (GP) prior. The parameters of this covariance function (variance, regularity and ranges) are estimated using the Restricted Maximum Likelihood (ReML) method. The mean function of the GP prior is assumed to be constant and unknown. This default choice can be overridden by means of the model.lm property. The function is sampled on a space-filling Latin Hypercube design, and the data is assumed to be noiseless. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. BOX = 2-dimensional hyper-rectangle (stk_hrect object): : x_1 x_2 lower_bounds : -5 0 upper_bounds : 10 15 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb07.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb07.m ***** test stk_example_kb07; close all; #========================# # stk_example_kb07 # #========================# 'stk_example_kb07' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb07.m STK_EXAMPLE_KB07 Simulation of sample paths from a Matern process Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. line 0: warning: iconv failed to convert degree sign |--Matern, nu = 0.5------| |--Matern, nu = 1.5------| 3 +|+ + *+ + +-+| 3 +|+ + + + +-+| 2 +|@% + *****# &&&$ ==+| 2 &|% *** ## +* +-+| @|@@#***********&&&==@**=@| *|&&***=***####&#**###**##| 1 @|###**#*****#####=##****=| 1 %|*****###*****=*##%=###*@| response z#|#######################response z#|###=##*#*=***###===@==**| -1 #|**###*#####@@@**#**#####| -1 +|#####***##@@*#&*********| *|*==#**##@@#%@%***%%### %| *|#==#####*####*#&&&##&&**| -2 +|------------------------| -2 +|------------------------| -3 +-+###+######+#####+###+-+ -3 +-+###+######+#####+###+-+ -1 -0.5 0 0.5 1 -1 -0.5 0 0.5 1 |--Matern, nu = 2.5------| |--Matern, nu = 10.0-----| 3 +|+ + + + +-+| 3 +|+ + + + +-+| 2 +|@@@ + *******$$+ +-+| 2 &|&&& + ***** ### +-+| =|==@@@@**$$$$$$*#####****| *|*******##*####****==****| 1 =|#=************##*#######| 1 *|***#%&######******#####*| response z#|*##############********response z+|%%**###***####==###&&&##| -1 *|##&##**&&@==&&%======@**| -1 #|%$*##**====#$####&$%$&&&| %|####**####@=====%#@@@# | @|#######@@@@@@@#$$$$### | -2 +|------------------------| -2 +|------------------------| -3 ***###+######+#####+###+-+ -3 +-+#@@@@#####+#####+###+-+ -1 -0.5 0 0.5 1 -1 -0.5 0 0.5 1 input variable x input variable x 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb06.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb06.m ***** test stk_example_kb06; close all; #========================# # stk_example_kb06 # #========================# 'stk_example_kb06' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb06.m STK_EXAMPLE_KB06 Ordinary kriging VS kriging with a linear trend The same dataset is analyzed using two variants of kriging. The left panel shows the result of ordinary kriging, in other words, Gaussian process interpolation assuming a constant (but unknown) mean. The right panel shows the result of adding a linear trend in the mean of the Gaussian process. The difference with the left plot is clear in extrapolation: the first predic- tor exhibits a "mean reverting" behaviour, while the second one captures an increasing trend in the data. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb01.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb01.m ***** test stk_example_kb01; close all; #========================# # stk_example_kb01 # #========================# 'stk_example_kb01' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb01.m STK_EXAMPLE_KB01 Ordinary kriging in 1D, with noiseless data This example shows how to compute ordinary kriging predictions on a one-dimensional noiseless dataset. The word 'ordinary' indicates that the mean function of the GP prior is assumed to be constant and unknown. A Matern covariance function is used for the Gaussian Process (GP) prior. The parameters of this covariance function are assumed to be known (i.e., no parameter estimation is performed here). Note that the kriging predictor, which is the posterior mean of the GP, interpolates the data in this noiseless example. See also: stk_example_kb01n, stk_example_kb02 Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov_iso lm = dim = 1 param = -0.6931 1.3863 0.9163 lognoisevariance = -Inf line 0: warning: iconv failed to convert degree sign | True function and observed data 1.5 +|+ | ****G** +--------------------+ #|#######***#####****#######################|***?***True function| 1 +|+####***##########***#####################+---G---Observations-+ #|####**##############**######################################### #|###**################**######################################## 0.5 +|+#**##################**###########################*****G###### #|*G######################**######################***######***### 0 +|*########################**####################G*##########***# G|##########################**#################***#############*** #|###########################**###############**#################** -0.5 +|+###########################**#############**################## * #|#############################**###########**################### #|##############################*G#########**#################### -1 +|+##############################***#####**###################### #|#################################*******####################### +|------------------------------------------------------------------ -1.5 +-+##############+###############+################+############## + -1 -0.5 0 0.5 1 input variable x 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb02.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb02.m ***** test stk_example_kb02; close all; #========================# # stk_example_kb02 # #========================# 'stk_example_kb02' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb02.m STK_EXAMPLE_KB02 Ordinary kriging in 1D with parameter estimation This example shows how to estimate covariance parameters and compute ordinary kriging predictions on a one-dimensional noiseless dataset. The model and data are the same as in stk_example_kb01, but this time the parameters of the covariance function are estimated using the Restricted Maximum Likelihood (ReML) method. See also: stk_example_kb01, stk_example_kb02n Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov_iso lm = dim = 1 param = -0.2108 2.3026 0.7562 lognoisevariance = -Inf line 0: warning: iconv failed to convert degree sign | True function and observed data 1.5 +|+ | ***G* +--------------------+ #|#######***#####***########################|***?***True function| 1 +|+#####**#########***######################+---G---Observations-+ #|####**#############***######################################### #|###**################**######################################## 0.5 +|+#**##################**############################***######## #|#G*####################**########################****##*G**#### #|**######################**#####################G**########***## F1 0 *|+########################**###################**############*** G|##########################**#################**###############** #|###########################**###############**#################** -0.5 +|+###########################**#############**################## #|#############################**###########*#################### #|##############################*G*#######**##################### -1 +|+###############################**#####**###################### #|#################################******######################## +|------------------------------------------------------------------ -1.5 +-+##############+###############+################+############## + -1 -0.5 0 0.5 1 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb01n.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb01n.m ***** test stk_example_kb01n; close all; #=========================# # stk_example_kb01n # #=========================# 'stk_example_kb01n' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb01n.m STK_EXAMPLE_KB01N Ordinary kriging in 1D, with noisy data This example shows how to compute ordinary kriging predictions on a one-dimensional noisy dataset. The Gaussian Process (GP) prior is the same as in stk_example_kb01. The observation noise is Gaussian and homoscedastic (constant variance). Its variance is assumed to be known. Note that the kriging predictor, which is the posterior mean of the GP, does NOT interpolate the data in this noisy example. See also: stk_example_kb01, stk_example_kb02n Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov_iso lm = dim = 1 param = -0.6931 1.3863 0.9163 lognoisevariance = -3.2189 line 0: warning: iconv failed to convert degree sign | True function and observed data 1.5 +|+ | G******* +--------------------+ #|#######***##G##G***#######################|***?***True function| 1 +|+####G**##########*G*#####################+---G---Observations-+ #|####**##############**######################################### #|###**################*G###########################G############ 0.5 G|+#**##################**###########################******G###G# #|*G######################**######################***###G##***### 0 +|*########################**####################**##########***# *|##########################**#################**G#############*** #|###########################**###############**#################*G -0.5 +|+#########################G#*G#############**################## * #|#############################**###########*G################### #|##############################**#G#######**#################### -1 +|+##############################***#####*G###################### #|#################################***G***####################### +|------------------------------------------------------------------ -1.5 +-+##############+###############+################+############## + -1 -0.5 0 0.5 1 input variable x 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb05.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb05.m ***** test stk_example_kb05; close all; #========================# # stk_example_kb05 # #========================# 'stk_example_kb05' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb05.m STK_EXAMPLE_KB05 Generation of conditioned sample paths A Matern Gaussian process model is used, with constant but unknown mean (ordinary kriging) and known covariance parameters. Given noiseless observations from the unknown function, a batch of conditioned sample paths is drawn using the "conditioning by kriging" technique. In short, this means that unconditioned sample path are simulated first (using stk_generate_samplepaths), and then conditioned on the observations by kriging (using stk_conditioning). Note: in this example, for pedagogical purposes, conditioned samplepaths are simulated in two steps: first, unconditioned samplepaths are simulated; second, conditioned samplepaths are obtained using conditioning by kriging. In practice, these two steps can be carried out all at once using stk_generate_samplepath (see, e.g., stk_example_kb09). See also: stk_generate_samplepaths, stk_conditioning, stk_example_kb09 Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb08.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb08.m ***** test stk_example_kb08; close all; #========================# # stk_example_kb08 # #========================# 'stk_example_kb08' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb08.m STK_EXAMPLE_KB08 Generation of conditioned sample paths made easy It has been demonstrated, in stk_example_kb05, how to generate conditioned sample paths using unconditioned sample paths and conditioning by kriging. This example shows how to do the same in a more concise way, letting STK take care of the details. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb02n.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb02n.m ***** test stk_example_kb02n; close all; #=========================# # stk_example_kb02n # #=========================# 'stk_example_kb02n' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb02n.m STK_EXAMPLE_KB02N Noisy ordinary kriging in 1D with parameter estimation This example shows how to estimate covariance parameters and compute ordinary kriging predictions on a one-dimensional noisy dataset. The model and data are the same as in stk_example_kb02, but this time the parameters of the covariance function and the variance of the noise are jointly estimated using the Restricted Maximum Likelihood (ReML) method. See also: stk_example_kb01n, stk_example_kb02 Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov_iso lm = dim = 1 param = -0.098610 2.302585 0.613435 lognoisevariance = -3.0915 True noise variance = 0.0400 Estimated noise variance = 0.0454 line 0: warning: iconv failed to convert degree sign | True function and noisy observed data 1.5 +|+ | G ***** +--------------------+ #|#######***##G##G**########################|***?***True function| 1 +|+####G**#########**G######################+---G---Observations-+ #|####**#############***######################################### #|###**################**######################################## 0.5 +|+#**##################G*##########################G#***######## G|#**####################**########################****#G**G*##G# #|*G######################**#####################***########***## F1 0 *|+########################**###################**############*** *|##########################**#################**G##############**G #|###########################**G##############**#################** -0.5 +|+#########################G#**#############**################## #|#############################**###########*G################### #|##############################***G######**##################### -1 +|+###############################**#####*G###################### #|#################################***G**######################## +|------------------------------------------------------------------ -1.5 +-+##############+###############+################+############## + -1 -0.5 0 0.5 1 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb09.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb09.m ***** test stk_example_kb09; close all; #========================# # stk_example_kb09 # #========================# 'stk_example_kb09' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb09.m STK_EXAMPLE_KB09 Generation of sample paths conditioned on noisy observations A Matern Gaussian process model is used, with constant but unknown mean (ordinary kriging) and known covariance parameters. Given noisy observations from the unknown function, a batch of conditioned sample paths is drawn using the "conditioning by kriging" technique (stk_generate_samplepaths function). See also: stk_generate_samplepaths, stk_conditioning, stk_example_kb05 Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/utils/stk_generate_samplepaths.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/utils/stk_generate_samplepaths.m ***** shared model, xi, zi, xt, n, nb_paths dim = 1; n = 50; nb_paths = 5; model = stk_model (@stk_materncov32_iso, dim); model.param = log ([1.0; 2.9]); xt = stk_sampling_regulargrid (n, dim, [-1.0; 1.0]); xi = [xt(1, :); xt(end, :)]; zi = [0; 0]; ***** error zsim = stk_generate_samplepaths (); ***** error zsim = stk_generate_samplepaths (model); ***** test zsim = stk_generate_samplepaths (model, xt); ***** test zsim = stk_generate_samplepaths (model, xt, nb_paths); ***** test zsim = stk_generate_samplepaths (model, xi, zi, xt); ***** test zsim = stk_generate_samplepaths (model, xi, zi, xt, nb_paths); ***** test zsim = stk_generate_samplepaths (model, xt); assert (isequal (size (zsim), [n, 1])); ***** test zsim = stk_generate_samplepaths (model, xt, nb_paths); assert (isequal (size (zsim), [n, nb_paths])); ***** test % duplicate simulation points zsim = stk_generate_samplepaths (model, [xt; xt], nb_paths); assert (isequal (size (zsim), [2 * n, nb_paths])); assert (isequal (zsim(1:n, :), zsim((n + 1):end, :))); ***** test % simulation points equal to observation points (noiseless model) % https://sourceforge.net/p/kriging/tickets/14/ zsim = stk_generate_samplepaths (model, xt, zeros (n, 1), xt); assert (isequal (zsim, zeros (n, 1))); 10 tests, 10 passed, 0 known failure, 0 skipped [inst/utils/stk_conditioning.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/utils/stk_conditioning.m ***** shared n, m, ni, xi_ind, lambda, zsim, zi n = 50; m = 5; ni = 10; xi_ind = 1:ni; lambda = 1/ni * ones (ni, n); % prediction == averaging zsim = ones (n, m); % const unconditioned samplepaths zi = zeros (ni, 1); % conditioning by zeros ***** error zsimc = stk_conditioning (); ***** error zsimc = stk_conditioning (lambda); ***** error zsimc = stk_conditioning (lambda, zi); ***** test zsimc = stk_conditioning (lambda, zi, zsim); ***** test zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); ***** test zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); assert (stk_isequal_tolabs (double (zsimc), zeros (n, m))); ***** test zi = 2 * ones (ni, 1); % conditioning by twos zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); assert (stk_isequal_tolabs (double (zsimc), 2 * ones (n, m))); ***** test DIM = 1; nt = 400; xt = stk_sampling_regulargrid (nt, DIM, [-1.0; 1.0]); NI = 6; xi_ind = [1 20 90 200 300 350]; xi = xt(xi_ind, 1); zi = (1:NI)'; % linear response ;-) % Carry out the kriging prediction at points xt model = stk_model (@stk_materncov52_iso); model.param = log ([1.0; 2.9]); [ignore_zp, lambda] = stk_predict (model, xi, [], xt); % Generate (unconditional) sample paths according to the model NB_PATHS = 10; zsim = stk_generate_samplepaths (model, xt, NB_PATHS); zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/set.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/set.m ***** shared M_post x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error value = get (M_post, 1.33); ***** error value = get (M_post, 'dudule'); ***** test value = get (M_post, 'prior_model'); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/stk_model_update.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_model_update.m ***** shared x_obs, z_obs, ref, M_prior, x_new, z_new, lnv_new [x_obs, z_obs, ref] = stk_dataset_twobumps ('noisy2'); M_prior = stk_model (@stk_materncov52_iso); M_prior.param = [-0.15; 0.38]; M_prior.lognoisevariance = 2 * log (ref.noise_std); x_new = [-0.79; -0.79]; z_new = [-0.69; -0.85]; lnv_new = ref.noise_std_func (x_new); ***** test % heteroscedastic M_prior.lognoisevariance = 2 * log (ref.noise_std); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); M_post = stk_model_update (M_post, x_new, z_new, lnv_new); ***** error % using lnv_new / homoscedastic M_prior.lognoisevariance = 0; M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); M_post = stk_model_update (M_post, x_new, z_new, lnv_new); % NOT OK ***** error % using lnv_new / noiseless M_prior.lognoisevariance = -inf; M_post = stk_model_gpposterior (M_prior, x_obs, z_obs) M_post = stk_model_update (M_post, x_new, z_new, lnv_new); % NOT OK ***** error % not using lnv_new / heteroscedastic M_prior.lognoisevariance = 2 * log (ref.noise_std); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); M_post = stk_model_update (M_post, x_new, z_new); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/stk_model_gpposterior.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_model_gpposterior.m ***** test stk_test_class ('stk_model_gpposterior') ***** shared M_prior, x_obs, z_obs x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); ***** test M_post = stk_model_gpposterior (); ***** test M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error M_post = stk_model_gpposterior (M_prior, x_obs, [z_obs; z_obs]); ***** error M_post = stk_model_gpposterior (M_prior, x_obs, [z_obs; z_obs], 3.441); ***** test % hidden feature kreq = stk_kreq_qr (M_prior, x_obs); M_post = stk_model_gpposterior (M_prior, {x_obs, kreq}, z_obs); ***** test % NaNs in prior_model.param DIM = 1; M = stk_model (@stk_materncov52_aniso, DIM); M.param = nan (2, 1); % this is currently the default x = stk_sampling_regulargrid (20, DIM, [0; 1]); y = sin (double (x)); zp = stk_predict (M, x, y, x); 7 tests, 7 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/stk_predict_leaveoneout.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_predict_leaveoneout.m ***** test % Check virtual Leave-One-Out formula n = 20; d = 1; x_obs = stk_sampling_regulargrid (n, d, [0; 2*pi]); z_obs = stk_feval (@sin, x_obs); lm_list = {stk_lm_null, stk_lm_constant, stk_lm_affine}; for j = 0:2 for k = 1:(length (lm_list)) model = stk_model (@stk_materncov32_iso, d); model.lm = lm_list{k}; model.param = log ([1; 5]); switch j % test various scenarios for lognoisevariance case 0 model.lognoisevariance = -inf; case 1 model.lognoisevariance = 0; case 2 model.lognoisevariance = (1 + rand (n, 1)) * 1e-3; end M_post = stk_model_gpposterior (model, x_obs, z_obs); [loo_pred, loo_res] = stk_predict_leaveoneout (M_post); [direct_pred, direct_res] = stk_predict_leaveoneout_direct (M_post); assert (stk_isequal_tolrel (loo_pred, direct_pred)); assert (stk_isequal_tolrel (loo_res, direct_res)); end end 1 test, 1 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/get.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/get.m ***** shared M_post x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error value = get (M_post, 1.33); ***** error value = get (M_post, 'dudule'); ***** test value = get (M_post, 'prior_model'); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/stk_predict_.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_predict_.m ***** shared n, m, M_post, M_prior, x0, x_obs, z_obs, x_prd, y_prd, idx_obs, idx_prd n = 10; % number of observations m = n + 1; % number of predictions d = 1; % dimension of the input space x0 = (linspace (0, pi, n + m))'; idx_obs = (2:2:(n+m-1))'; idx_prd = (1:2:(n+m))'; x_obs = x0(idx_obs); z_obs = sin (x_obs); x_prd = x0(idx_prd); M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error y_prd = stk_predict (M_post); ***** test y_prd = stk_predict (M_post, x_prd); ***** error y_prd = stk_predict (M_post, [x_prd x_prd]); ***** test % nargout = 2 [y_prd1, lambda] = stk_predict (M_post, x_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); assert (isequal (size (lambda), [n m])); ***** test % nargout = 3 [y_prd1, lambda, mu] = stk_predict (M_post, x_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging ***** test % nargout = 4 [y_prd1, lambda, mu, K] = stk_predict (M_post, x_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging assert (isequal (size (K), [m m])); ***** test % nargout = 2, compute only variances M_post1 = stk_model_gpposterior (M_prior, x_obs, []); [y_prd_nan, lambda] = stk_predict (M_post1, x_prd); assert (isequal (size (lambda), [n m])); assert (all (isnan (y_prd_nan.mean))); ***** test % discrete model (prediction indices provided) M_prior1 = stk_model (@stk_discretecov, M_prior, x0); M_post1 = stk_model_gpposterior (M_prior1, idx_obs, z_obs); y_prd1 = stk_predict (M_post1, idx_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); ***** test % discrete model (prediction indices *not* provided) M_prior1 = stk_model (@stk_discretecov, M_prior, x0); M_post1 = stk_model_gpposterior (M_prior1, idx_obs, z_obs); y_prd1 = stk_predict (M_post1, []); % predict them all! assert (stk_isequal_tolrel (y_prd, y_prd1(idx_prd, :))); 9 tests, 9 passed, 0 known failure, 0 skipped [inst/model/prior_struct/stk_model.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/prior_struct/stk_model.m ***** test model = stk_model (); ***** test model = stk_model (@stk_expcov_iso); ***** test model = stk_model (@stk_expcov_iso, 1); ***** test model = stk_model (@stk_expcov_iso, 3); ***** test model = stk_model (@stk_expcov_aniso); ***** test model = stk_model (@stk_expcov_aniso, 1); ***** test model = stk_model (@stk_expcov_aniso, 3); ***** test model = stk_model (@stk_materncov_iso); ***** test model = stk_model (@stk_materncov_iso, 1); ***** test model = stk_model (@stk_materncov_iso, 3); ***** test model = stk_model (@stk_materncov_aniso); ***** test model = stk_model (@stk_materncov_aniso, 1); ***** test model = stk_model (@stk_materncov_aniso, 3); ***** test model = stk_model (@stk_materncov32_iso); ***** test model = stk_model (@stk_materncov32_iso, 1); ***** test model = stk_model (@stk_materncov32_iso, 3); ***** test model = stk_model (@stk_materncov32_aniso); ***** test model = stk_model (@stk_materncov32_aniso, 1); ***** test model = stk_model (@stk_materncov32_aniso, 3); ***** test model = stk_model (@stk_materncov52_iso); ***** test model = stk_model (@stk_materncov52_iso, 1); ***** test model = stk_model (@stk_materncov52_iso, 3); ***** test model = stk_model (@stk_materncov52_aniso); ***** test model = stk_model (@stk_materncov52_aniso, 1); ***** test model = stk_model (@stk_materncov52_aniso, 3); ***** test model = stk_model (@stk_gausscov_iso); ***** test model = stk_model (@stk_gausscov_iso, 1); ***** test model = stk_model (@stk_gausscov_iso, 3); ***** test model = stk_model (@stk_gausscov_aniso); ***** test model = stk_model (@stk_gausscov_aniso, 1); ***** test model = stk_model (@stk_gausscov_aniso, 3); ***** test model = stk_model (@stk_sphcov_iso); ***** test model = stk_model (@stk_sphcov_iso, 1); ***** test model = stk_model (@stk_sphcov_iso, 3); ***** test model = stk_model (@stk_sphcov_aniso); ***** test model = stk_model (@stk_sphcov_aniso, 1); ***** test model = stk_model (@stk_sphcov_aniso, 3); 37 tests, 37 passed, 0 known failure, 0 skipped [inst/model/prior_struct/stk_ortho_func.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/prior_struct/stk_ortho_func.m ***** shared model, x, n, d n = 15; d = 4; model = stk_model (@stk_materncov_aniso, d); x = stk_sampling_randunif (n, d); model = rmfield (model, 'lm'); % Test the old .order approach ***** error P = stk_ortho_func (); ***** error P = stk_ortho_func (model); ***** test P = stk_ortho_func (model, x); ***** test model.order = -1; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 0])); ***** test model.order = 0; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 1])); ***** test model.order = 1; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, d + 1])); ***** test model.order = 2; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 1 + d * (d + 3) / 2])); ***** test model.order = 3; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 1 + d * (11 + d * (6 + d)) / 6])); ***** error model.order = 4; P = stk_ortho_func (model, x); % model.order > 3 is not allowed 9 tests, 9 passed, 0 known failure, 0 skipped [inst/model/prior_struct/stk_covmat_noise.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/prior_struct/stk_covmat_noise.m ***** shared model, model2, x1, x2, n1, n2, d, Ka, Kb, Kc, Pa, Pb, Pc, P1, P2, P3, K1, K2, K3 n1 = 20; n2 = 10; d = 4; model = stk_model (@stk_materncov52_aniso, d); model.lm = stk_lm_affine; model.param = log ([1.0; 2.1; 2.2; 2.3; 2.4]); model2 = model; model2.lognoisevariance = log(0.01); x1 = stk_sampling_randunif (n1, d); x2 = stk_sampling_randunif (n2, d); ***** error [KK, PP] = stk_covmat_noise (); ***** error [KK, PP] = stk_covmat_noise (model); ***** test [Ka, Pa] = stk_covmat_noise (model, x1); % (1) ***** test [K1, P1] = stk_covmat_noise (model, x1, []); ***** test [K2, P2] = stk_covmat_noise (model, x1, [], -1); ***** test [K3, P3] = stk_covmat_noise (model, x1, [], -1, false); ***** assert (isequal (size (Ka), [n1 n1])); ***** assert (isequal (size (Pa), [n1 0])); ***** assert (isequal (P1, Pa) && (isequal (K1, Ka))) ***** assert (isequal (P2, Pa) && (isequal (K2, Ka))) ***** assert (isequal (P3, Pa) && (isequal (K3, Ka))) ***** test [Kb, Pb] = stk_covmat_noise (model, x1, x1); % (2) ***** test [K1, P1] = stk_covmat_noise (model, x1, x1, -1); ***** test [K2, P2] = stk_covmat_noise (model, x1, x1, -1, false); ***** assert (isequal (size (Kb), [n1 n1])); ***** assert (isequal (size (Pb), [n1 0])); ***** assert (isequal (P1, Pb) && (isequal (K1, Kb))) ***** assert (isequal (P2, Pb) && (isequal (K2, Kb))) ***** test [Kc, Pc] = stk_covmat_noise (model, x1, x2); % (3) ***** test [K1, P1] = stk_covmat_noise (model, x1, x2, -1); ***** test [K2, P2] = stk_covmat_noise (model, x1, x2, -1, false); ***** assert (isequal (size (Kc), [n1 n2])); ***** assert (isequal (size (Pc), [n1 0])); ***** assert (isequal (P1, Pc) && (isequal (K1, Kc))) ***** assert (isequal (P2, Pc) && (isequal (K2, Kc))) ***** assert (isequal (Kb, Ka)); ***** test [Ka, Pa] = stk_covmat_noise (model2, x1); % (1') ***** test [Kb, Pb] = stk_covmat_noise (model2, x1, x1); % (2') ***** error assert (isequal (Kb, Ka)); ***** assert (isequal (Pa, Pb)); ***** assert (isequal (Pa, Pc)); 31 tests, 31 passed, 0 known failure, 0 skipped [inst/model/noise/@stk_gaussiannoise_het0/set.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/noise/@stk_gaussiannoise_het0/set.m ***** shared M_post x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error value = get (M_post, 1.33); ***** error value = get (M_post, 'dudule'); ***** test value = get (M_post, 'prior_model'); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/misc/parallel/@stk_parallel_engine_none/stk_parallel_engine_none.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/parallel/@stk_parallel_engine_none/stk_parallel_engine_none.m ***** test stk_test_class ('stk_parallel_engine_none') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_normal_ei.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_ei.m ***** assert (stk_isequal_tolrel (stk_distrib_normal_ei (0.0), 1 / sqrt (2 * pi), eps)) ***** test % Decreasing as a function of z ei = stk_distrib_normal_ei (linspace (-10, 10, 200)); assert (all (diff (ei) < 0)) ***** shared M, mu, sigma, ei M = randn (1, 10); mu = randn (5, 1); sigma = 1 + rand (1, 1, 7); ei = stk_distrib_normal_ei (M, mu, sigma); ***** assert (isequal (size (ei), [5, 10, 7])) ***** assert (all (ei(:) >= 0)) ***** assert (isequal (ei, stk_distrib_normal_ei (M, mu, sigma, false))); ***** assert (isequal (ei, stk_distrib_normal_ei (-M, -mu, sigma, true))); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_normal_pdf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_pdf.m ***** assert (stk_isequal_tolrel (stk_distrib_normal_pdf ([1; 3], 1, [1 10]), ... [1 / sqrt(2 * pi) ... % normpdf ((1 - 1) / 1) 0.1 / sqrt(2 * pi); ... % normpdf ((1 - 1) / 10) / 10 exp(-2) / sqrt(2 * pi) ... % normpdf ((3 - 1) / 1) 3.910426939754558780e-2 ... % normpdf ((3 - 1) / 10) / 10 ], eps)); ***** assert (isequal (stk_distrib_normal_pdf (inf), 0.0)); ***** assert (isequal (stk_distrib_normal_pdf (-inf), 0.0)); ***** assert (isnan (stk_distrib_normal_pdf (nan))); ***** assert (isnan (stk_distrib_normal_pdf (0, 0, -1))); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_student_cdf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_student_cdf.m ***** assert (stk_isequal_tolrel ( ... stk_distrib_student_cdf ([-1; 0; 1], [1 2], 0, [1 10]), ... [0.25, ... % tcdf ((-1 - 0)/1, 1) 4.6473271920707004e-01; ... % tcdf ((-1 - 0)/10, 2) 0.50, ... % tcdf (( 0 - 0)/1, 1) 0.50; ... % tcdf (( 0 - 0)/10, 2) 0.75, ... % tcdf (( 1 - 0)/1, 1) 5.3526728079292996e-01 ... % tcdf (( 1 - 0)/10, 2) ], 4 * eps)) ***** test [p, q] = stk_distrib_student_cdf (1e10, 2); assert (isequal (p, 1.0)); assert (stk_isequal_tolrel (q, 4.999999999999999999925e-21, 10 * eps)); ***** assert (isequal (stk_distrib_student_cdf (0.0, 1), 0.5)); ***** assert (isequal (stk_distrib_student_cdf (inf, 1), 1.0)); ***** assert (isequal (stk_distrib_student_cdf (-inf, 1), 0.0)); ***** assert (isnan (stk_distrib_student_cdf (nan, 1))); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_student_pdf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_student_pdf.m ***** assert (stk_isequal_tolrel ( ... stk_distrib_student_pdf ([1; 3], [1; 2], [0 1], [1 10]), ... [0.50 / pi ... % tpdf ((1 - 1) / 10, 1) 0.10 / pi; ... % tpdf ((1 - 1) / 10, 1) / 10 1 / (11 * sqrt(11)) ... % tpdf ((3 - 0) / 1, 2) / 1 3.4320590294804165e-02 ... % tpdf ((3 - 1) / 10, 2) / 10 ], eps)); ***** assert (isequal (stk_distrib_student_pdf ( inf, 1.0), 0.0)); ***** assert (isequal (stk_distrib_student_pdf (-inf, 1.0), 0.0)); ***** assert (isnan (stk_distrib_student_pdf ( nan, 1.0))); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_student_ei.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_student_ei.m ***** assert (stk_isequal_tolrel (stk_distrib_student_ei (0, 2), 1 / sqrt (2), eps)) ***** test % Decreasing as a function of z ei = stk_distrib_student_ei (linspace (-10, 10, 200), 3.33); assert (all (diff (ei) < 0)) ***** shared M, mu, sigma, ei, nu M = randn (1, 10); mu = randn (5, 1); sigma = 1 + rand (1, 1, 7); nu = 2; ei = stk_distrib_student_ei (M, nu, mu, sigma); ***** assert (isequal (size (ei), [5, 10, 7])) ***** assert (all (ei(:) >= 0)) ***** assert (isequal (ei, stk_distrib_student_ei (M, nu, mu, sigma, false))); ***** assert (isequal (ei, stk_distrib_student_ei (-M, nu, -mu, sigma, true))); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_normal_crps.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_crps.m ***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (0.0, 0.0, 0.0), 0.0)) ***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (0.0, 0.0, 1.0), (sqrt(2) - 1)/sqrt(pi))) ***** shared n, x_obs, mu, sigma, crps, crps_exp x_obs = [ 1.78; -2.29; -1.62; -5.89; 2.88; 0.65; 2.74; -3.42]; % observations mu = [-0.31; -0.59; 1.48; -1.57; -0.05; -0.27; 1.05; 1.27]; % predictions sigma = [ 2.76; 6.80; 1.63; 1.19; 4.98; 9.60; 5.85; 2.24]; % standard dev n = size(x_obs, 1); crps = stk_distrib_normal_crps (x_obs, mu, sigma); ***** assert (isequal (size (crps), [n, 1])) ***** assert (all (crps >= 0)) ***** assert (stk_isequal_tolabs (crps, stk_distrib_normal_crps(mu, x_obs, sigma))) ***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (x_obs, mu, 0), abs (x_obs - mu))) crps_ref = [ ... 1.247856605928301 ... 1.757798727719891 ... 2.216236225997414 ... 3.648696666764968 ... 1.832355265287495 ... 2.278618297947438 ... 1.560544734359158 ... 3.455697443411153 ]; assert (stk_isequal_tolabs (crps, crps_ref, 1e-10)); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_bivnorm_cdf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_bivnorm_cdf.m ***** test z1 = [0 1; -1 2]; z2 = [0 1; 1 -2]; z = cat (3, z1, z2); % 2 x 2 x 2 mu1 = 0; % 1 x 1 x 1 mu2 = [0 1]; % 1 x 2 x 1 sigma1 = [1 3]; % 1 x 2 x 1 sigma2 = [1; 2]; % 2 x 1 x 1 rho = [0; 0.5]; % 2 x 1 x 1 %% BROADCASTING => the result will be a 2 x 2 matrix p = stk_distrib_bivnorm_cdf (z, mu1, mu2, sigma1, sigma2, rho); p11 = 0.25; % mvncdf ([ 0 0], [0 0], [1 0; 0 1]); p12 = 0.315279329909118; % mvncdf ([ 1 1], [0 1], [9 0; 0 1]); p21 = 0.146208349559646; % mvncdf ([-1 1], [0 0], [1 1; 1 4]); p22 = 0.064656239880040; % mvncdf ([ 2 -2], [0 1], [9 3; 3 4]); assert (stk_isequal_tolabs (p, [p11 p12; p21 p22], 1e-14)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf -inf], 0, 0, 1, 1, 0); assert ((p == 0.0) && (q == 1.0)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf -10], 0, 0, 1, 1, 0); assert (stk_isequal_tolrel (p, 7.619853024160489e-24, 1e-12)) assert (q == 1.0) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf 0], 0, 0, 1, 1, 0); assert (stk_isequal_tolrel (p, 0.5, 1e-12)) assert (stk_isequal_tolrel (q, 0.5, 1e-12)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf 10], 0, 0, 1, 1, 0); assert (p == 1.0); assert (stk_isequal_tolrel (q, 7.619853024160489e-24, 1e-12)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf inf], 0, 0, 1, 1, 0); assert ((p == 1.0) && (q == 0.0)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([-inf inf], 0, 0, 1, 1, 0); assert ((p == 0.0) && (q == 1.0)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([-10 inf], 0, 0, 1, 1, 0); assert (stk_isequal_tolrel (p, 7.619853024160489e-24, 1e-12)) assert (q == 1.0) ***** test [p, q] = stk_distrib_bivnorm_cdf ([0 inf], 0, 0, 1, 1, 0); assert (stk_isequal_tolrel (p, 0.5, 1e-12)) assert (stk_isequal_tolrel (q, 0.5, 1e-12)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([10 inf], 0, 0, 1, 1, 0); assert (p == 1.0); assert (stk_isequal_tolrel (q, 7.619853024160489e-24, 1e-12)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf inf], 0, 0, 1, 1, 0); assert ((p == 1.0) && (q == 0.0)) ***** test % A mixture of singular and non-singular cases p = stk_distrib_bivnorm_cdf ([0 0], 0, 0, [1; 0], 1, 0); assert (isequal (p, [0.25; 0.5])); 12 tests, 12 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_normal_cdf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_cdf.m ***** assert (stk_isequal_tolrel (stk_distrib_normal_cdf ([1; 3], 1, [1 10]), ... [0.5, ... % normcdf ((1 - 1) / 1) 0.5; ... % normcdf ((1 - 1) / 10) 0.5 * erfc(-sqrt(2)), ... % normcdf ((3 - 1) / 1) 0.5 * erfc(-0.1*sqrt(2)) ... % normcdf ((3 - 1) / 10) ], eps)); ***** test [p, q] = stk_distrib_normal_cdf (10); assert (isequal (p, 1.0)); assert (stk_isequal_tolrel (q, 7.6198530241604975e-24, eps)); ***** assert (isequal (stk_distrib_normal_cdf ( 0.0), 0.5)); ***** assert (isequal (stk_distrib_normal_cdf ( inf), 1.0)); ***** assert (isequal (stk_distrib_normal_cdf (-inf), 0.0)); ***** assert (isnan (stk_distrib_normal_cdf ( nan))); ***** assert (isnan (stk_distrib_normal_cdf (0, 0, -1))); ***** assert (isequal (stk_distrib_normal_cdf (0, 0, 0), 1.0)); ***** assert (isequal (stk_distrib_normal_cdf (0, 1, 0), 0.0)); ***** assert (isequal (stk_distrib_normal_cdf (1, 0, 0), 1.0)); 10 tests, 10 passed, 0 known failure, 0 skipped [inst/misc/test/stk_isequal_tolabs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/test/stk_isequal_tolabs.m ***** shared r1, r2, a, b, tolabs a = 1.01; b = 1.02; tolabs = 0.1; ***** error rr = stk_isequal_tolabs(); ***** error rr = stk_isequal_tolabs(a); ***** test r1 = stk_isequal_tolabs(a, b); ***** test r2 = stk_isequal_tolabs(a, b, tolabs); ***** test assert(~r1); ***** test assert(r2); ***** test a = struct('u', []); b = struct('v', []); assert(~ stk_isequal_tolabs(a, b)) ***** test a = struct('u', 1.01); b = struct('u', 1.02); assert(stk_isequal_tolabs(a, b, tolabs)) 8 tests, 8 passed, 0 known failure, 0 skipped [inst/misc/test/stk_test.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/test/stk_test.m ***** assert(isempty([])) % support for test assert shorthand ***** assert((1 + 1) == 2) ***** test a=1; ***** test assert(~exist('a')); ***** shared a % create a shared variable ***** test a = 3; % assign to a shared variable ***** test assert(a == 3); % variable should equal 3 in this second 'test' block ***** shared b, c % replace shared variables {'a'} --> {'b', 'c'} ***** test assert(~exist('a')); % a no longer exists ***** test assert(isempty(b)); % variables start off empty ***** shared a % recreate a shared variable that had been deleted ***** test assert (isempty(a)); % it is empty, even though it was equal to 3 before ***** shared a, b, c % creates three shared variables a = 1; b = 2; c = 3; % give values to all variables, in the same block ***** assert(isequal([a, b, c], [1, 2, 3])); % test all of them together ***** test c=6; % update a value ***** test % show that the update sticks between blocks assert(isequal([a, b, c], [1, 2, 6])); ***** shared % clear all shared variables ***** assert(~exist('a')) % show that they are cleared ***** error test % not enough input arguments ***** error test(1, 2, 3, 4) % too many input args ***** error garbage % usage on nonexistent function should be ***** error stt_test('test', 'bogus'); % undefined function error ***** error stk_test('test', 'bogus'); % error raised by stk_test itself ***** error stk_test(); ***** error stk_test('disp', 'verbose', [], 'extra arg !!!'); ***** error stk_test([]) ***** error stk_test(0.0) ***** error stk_test('stk_mindist', 0.0) ***** error stk_test('stk_mindist', 'dudule') 24 tests, 24 passed, 0 known failure, 0 skipped [inst/misc/test/stk_isequal_tolrel.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/test/stk_isequal_tolrel.m ***** shared r1, r2, r3, a, b, tolrel a = 1.01; b = 1.02; tolrel = 0.1; ***** error rr = stk_isequal_tolrel(); ***** error rr = stk_isequal_tolrel(a); ***** test r1 = stk_isequal_tolrel(a, b); ***** test r2 = stk_isequal_tolrel(a, b, tolrel); ***** test r3 = stk_isequal_tolrel(a, [b b]); ***** test assert (isequal (r1, false)); ***** test assert (isequal (r2, true)); ***** test assert (isequal (r3, false)); ***** test a = struct('u', []); b = struct('v', []); assert(~ stk_isequal_tolrel(a, b)) ***** test a = struct('u', 1.01); b = struct('u', 1.02); assert(stk_isequal_tolrel(a, b, tolrel)) 10 tests, 10 passed, 0 known failure, 0 skipped [inst/misc/optim/stk_optim_testmin_box.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_optim_testmin_box.m ***** shared algo algo = stk_options_get ('stk_param_estim', 'minimize_box'); ***** error b = stk_optim_testmin_box (); ***** assert (stk_optim_testmin_box (algo)); ***** assert (~ stk_optim_testmin_box ('dudule')); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/misc/optim/@stk_optim_fmincon/stk_optim_fmincon.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_fmincon/stk_optim_fmincon.m ***** test stk_test_class ('stk_optim_fmincon') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/optim/@stk_optim_optimizer_/stk_optim_optimizer_.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_optimizer_/stk_optim_optimizer_.m ***** test stk_test_class ('stk_optim_optimizer_') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/optim/stk_optim_testmin_unc.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_optim_testmin_unc.m ***** shared algo algo = stk_options_get ('stk_param_estim', 'minimize_unc'); ***** error b = stk_optim_testmin_unc (); ***** assert (stk_optim_testmin_unc (algo)); ***** assert (~ stk_optim_testmin_unc ('dudule')); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/misc/optim/@stk_optim_octavesqp/stk_optim_octavesqp.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_octavesqp/stk_optim_octavesqp.m ***** test stk_test_class ('stk_optim_octavesqp') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/optim/stk_minimize_unconstrained.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_minimize_unconstrained.m ***** test % Call fminsearch using function name if stk_optim_isavailable ('fminsearch') assert (stk_optim_testmin_unc ('fminsearch')); end ***** test % Call fminsearch directly, using algorithm object if stk_optim_isavailable ('fminsearch') algo = stk_optim_fminsearch ('TolX', 1e-12, 'TolFun', 1e-12); assert (stk_optim_testmin_unc (algo)); end ***** test % Call sqp using function name if stk_optim_isavailable ('octavesqp') assert (stk_optim_testmin_unc ('octavesqp')); end ***** test % Call sqp directly, using algorithm object if stk_optim_isavailable ('octavesqp') algo = stk_optim_octavesqp (); assert (stk_optim_testmin_unc (algo)); end ***** error assert (stk_optim_testmin_unc ('InexistentOptimizer')); ***** error assert (stk_optim_testmin_unc (100)); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/optim/@stk_optim_fminsearch/stk_optim_fminsearch.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_fminsearch/stk_optim_fminsearch.m ***** test stk_test_class ('stk_optim_fminsearch') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/optim/stk_minimize_boxconstrained.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_minimize_boxconstrained.m ***** test % Call fmincon using function name if stk_optim_isavailable ('fmincon') assert (stk_optim_testmin_box ('fmincon')); end ***** test % Call fmincon directly, using algorithm object if stk_optim_isavailable ('fmincon') algo = stk_optim_fmincon ('TolX', 1e-12, 'TolFun', 1e-12); assert (stk_optim_testmin_box (algo)); end ***** test % Call sqp using function name if stk_optim_isavailable ('octavesqp') assert (stk_optim_testmin_box ('octavesqp')); end ***** test % Call sqp directly, using algorithm object if stk_optim_isavailable ('octavesqp') algo = stk_optim_octavesqp (); assert (stk_optim_testmin_box (algo)); end ***** error assert (stk_optim_testmin_box ('InexistentOptimizer')); ***** error assert (stk_optim_testmin_box (100)); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/design/stk_maxabscorr.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/design/stk_maxabscorr.m ***** assert (stk_isequal_tolabs (0.0, ... % Test on an OLHS(5) stk_maxabscorr ([0.4 0.8 0 -0.4 -0.8; -0.8 0.4 0 0.8 -0.4]'))); 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/design/stk_phipcrit.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/design/stk_phipcrit.m ***** shared x x = [0, 0.2, 0.4, 0.6, 0.8, 1.0; 0, 0.6, 0.8, 1.0, 0.2, 0.4]'; ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 10), 3.946317664423303, 1e-15)) ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 50), 3.614077252813102, 1e-15)); ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 100), 3.574589859827413, 1e-15)); ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 1e9), 1 / stk_mindist (x), 1e-8)); ***** assert (isequal (stk_phipcrit (ones (2)), Inf)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/misc/error/stk_error.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/error/stk_error.m ***** shared errmsg, mnemonic, badstack errmsg = 'Go ahead, make my day.'; mnemonic = 'ClintEastwood'; badstack = 0; % not a valid stack structure ***** error stk_error(errmsg, mnemonic); ***** error stk_error (errmsg, mnemonic, badstack); ***** error id=STK:stk_error:InvalidArgument stk_error (errmsg, mnemonic, badstack); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_filldist_discretized.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_filldist_discretized.m ***** error stk_filldist_discretized(0.0) % incorrect nb of arguments ***** error stk_filldist_discretized(0.0, []) % second arg is empty ***** error stk_filldist_discretized([], 0.0) % first arg is empty ***** test d = 3; x = rand(7, d); y = rand(20, d); fd1 = stk_filldist_discretized(x, y); fd2 = stk_filldist_discretized(stk_dataframe(x), stk_dataframe(y)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test n = 5; for dim = 1:10, x = rand(n, dim); fd = stk_filldist_discretized(x, x); assert(stk_isequal_tolabs(fd, 0.0)); end ***** test for dim = 1:10, x = rand(1, dim); y = rand(1, dim); fd = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, norm(x - y))); end ***** test n = 4; for dim = 2:10, x = zeros(n, dim); y = rand(1, dim); fd = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, max(stk_dist(x, y)))); end ***** test for dim = [1 3 6], x = 0.5 * ones(1, dim); y = stk_sampling_regulargrid(2^dim, dim); % [0; 1]^d is the default box fd = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], x = zeros(1, dim); y = stk_sampling_regulargrid(3^dim, dim); [fd, ymax] = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end 9 tests, 9 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_filldist.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_filldist.m ***** test %%% exact d = 3; x = rand(7, d); box = repmat([0; 1], 1, d); fd1 = stk_filldist(x, box); fd2 = stk_filldist(stk_dataframe(x), stk_dataframe(box)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test %%% discretized d = 3; x = rand(7, d); y = rand(20, d); fd1 = stk_filldist(x, y); fd2 = stk_filldist(stk_dataframe(x), stk_dataframe(y)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test n = 5; % must be bigger than 2 for dim = 1:10, x = rand(n, dim); fd = stk_filldist(x, x); assert(stk_isequal_tolabs(fd, 0.0)); end ***** test %%% exact for dim = 1:6, x = 0.5 * ones(1, dim); fd = stk_filldist(x); % [0; 1]^d is the default box assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test %%% discretized for dim = 1:6, x = 0.5 * ones(1, dim); y = stk_sampling_regulargrid(2^dim, dim); % [0; 1]^d is the default box fd = stk_filldist(x, y); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], box = repmat([1; 2], 1, dim); x = 1 + 0.5 * ones(1, dim); fd = stk_filldist(x, box); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test dim = 3; box = repmat([-1; 1], 1, dim); x = stk_sampling_randunif(20, dim, box); y = stk_sampling_regulargrid(3^dim, dim, box); fd1 = stk_filldist(x, box); fd2 = stk_filldist(x, y); assert(fd1 >= fd2 - 10 * eps); ***** test %%% exact for dim = [1 3 7], x = zeros(1, dim); [fd, ymax] = stk_filldist_exact(x); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end ***** test %%% discretized for dim = [1 3 7], x = zeros(1, dim); y = stk_sampling_regulargrid(3^dim, dim); [fd, ymax] = stk_filldist(x, y); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end 9 tests, 9 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_dist.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_dist.m ***** error stk_dist(); ***** error stk_dist(0, 0, 0); ***** error stk_dist(0, 0, 0, 0); ***** error stk_dist(0, ones(1, 2)); ***** error stk_dist(eye(3), ones(1, 2)); ***** error stk_dist(ones(2, 1), zeros(2)); ***** shared x, y, z x = zeros(11, 5); y = zeros(13, 5); z = ones(7, 5); ***** test Dx = stk_dist(x); assert(isequal(Dx, zeros(11))); ***** test Dxx = stk_dist(x, x); assert(isequal(Dxx, zeros(11))); ***** test Dxy = stk_dist(x, y); assert(isequal(Dxy, zeros(11, 13))); ***** test Dzz = stk_dist(z, z); assert(isequal(Dzz, zeros(7))); ***** test Dxz = stk_dist(x, z); assert(stk_isequal_tolabs(Dxz, sqrt(5)*ones(11, 7))); ***** test x = randn(5,3); y = randn(5,3); D1 = stk_dist(x, y, true); % pairwise D2 = stk_dist(x, y); assert(stk_isequal_tolabs(D1, diag(D2))); ***** test x = randn(5,3); D1 = stk_dist(x, [], true); % pairwise assert(stk_isequal_tolabs(D1, zeros(5, 1))); D1 = stk_dist(x, x, true); % pairwise assert(stk_isequal_tolabs(D1, zeros(5, 1))); 13 tests, 13 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_filldist_exact.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_filldist_exact.m ***** test d = 3; x = rand(7, d); box = repmat([0; 1], 1, d); fd1 = stk_filldist_exact(x, box); fd2 = stk_filldist_exact(stk_dataframe(x), stk_dataframe(box)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test for dim = 1:6, x = 0.5 * ones(1, dim); fd = stk_filldist_exact(x); % [0; 1]^d is the default box assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], box = repmat([1; 2], 1, dim); x = 1 + 0.5 * ones(1, dim); fd = stk_filldist_exact(x, box); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], x = zeros(1, dim); [fd, ymax] = stk_filldist_exact(x); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end 4 tests, 4 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_gpquadform.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_gpquadform.m ***** shared x, y, z, rx, ry, rz x = rand(5, 2); rx = rand(5, 2) + 1; y = rand(6, 2); ry = rand(6, 2) + 1; z = rand(5, 3); rz = rand(5, 3) + 1; ***** error Q = stk_gpquadform(x, ry, y, ry) ***** error Q = stk_gpquadform(x, rz, y, ry) ***** error Q = stk_gpquadform(x, rx, y, rx) ***** error Q = stk_gpquadform(x, rx, y, rz) ***** error Q = stk_gpquadform(x, rx, z, ry) ***** shared x, y, z, rx, ry, rz x = zeros (11, 5); rx = 1/sqrt(2) * ones (11, 5); y = zeros (13, 5); ry = 1/sqrt(2) * ones (13, 5); z = ones ( 7, 5); rz = 1/sqrt(2) * ones ( 7, 5); ***** test Qx = stk_gpquadform(x, [], rx); assert(isequal(Qx, zeros(11))); ***** test Qxx = stk_gpquadform(x, x, rx, rx); assert(isequal(Qxx, zeros(11))); ***** test Qxy = stk_gpquadform(x, y, rx, ry); assert(isequal(Qxy, zeros(11, 13))); ***** test Qzz = stk_gpquadform(z, [], rz); assert(isequal(Qzz, zeros(7))); ***** test Qxz = stk_gpquadform(x, z, rx, rz); assert(stk_isequal_tolabs(Qxz, 5 * ones(11, 7))); ***** test x = randn(5, 3); rx = 1 + rand(5, 3); y = randn(5, 3); ry = 1 + rand(5, 3); Q1 = stk_gpquadform(x, y, rx, ry, true); % pairwise Q2 = stk_gpquadform(x, y, rx, ry, false); assert(isequal(size(Q1), [5 1])); assert(isequal(size(Q2), [5 5])); assert(stk_isequal_tolabs(Q1, diag(Q2))); ***** test x = randn(5, 3); rx = 1 + rand(5, 3); Q1 = stk_gpquadform(x, [], rx, [], true); % pairwise assert(stk_isequal_tolabs(Q1, zeros(5, 1))); Q1 = stk_gpquadform(x, x, rx, rx, true); % pairwise assert(stk_isequal_tolabs(Q1, zeros(5, 1))); ***** shared x, y, z, rx, ry, rz x = zeros (11, 5); rx = 2 * ones (11, 5); y = zeros (13, 5); ry = 2 * ones (13, 5); z = ones ( 7, 5); rz = 2 * ones ( 7, 5); ***** test Qx = stk_gpquadform(x, [], rx); assert(isequal(Qx, zeros(11))); ***** test Qxx = stk_gpquadform(x, x, rx, rx); assert(isequal(Qxx, zeros(11))); ***** test Qxy = stk_gpquadform(x, y, rx, ry); assert(isequal(Qxy, zeros(11, 13))); ***** test Qzz = stk_gpquadform(z, [], rz); assert(isequal(Qzz, zeros(7))); ***** test Qxz = stk_gpquadform(x, z, rx, rz); assert(stk_isequal_tolabs(Qxz, 5/8 * ones(11, 7))); 17 tests, 17 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_mindist.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_mindist.m ***** test d = 3; x = rand(7, d); md1 = stk_mindist(x); md2 = stk_mindist(stk_dataframe(x)); assert(stk_isequal_tolabs(md1, md2)); ***** test for nc = [0 5 10], x = zeros(0, nc); d = stk_mindist(x); assert(isempty(d)); end ***** test for nc = [0 5 10], x = rand(1, nc); d = stk_mindist(x); assert(isempty(d)); end ***** test for nr = [2 5 10], x = zeros(nr, 0); d = stk_mindist(x); assert(isequal(d, 0.0)); end ***** test nrep = 20; TOL_REL = 1e-15; for irep = 1:nrep, n = 2 + floor(rand * 10); d = 1 + floor(rand * 10); x = rand(n, d); z = stk_mindist(x); assert(isequal(size(d), [1, 1])); assert(~isnan(d)); assert(~isinf(d)); % check the result mindist = Inf; for i = 1:(n-1), for j = (i+1):n, mindist = min(mindist, norm(x(i,:) - x(j,:))); end end assert(abs(z - mindist) <= TOL_REL * mindist); end 5 tests, 5 passed, 0 known failure, 0 skipped [inst/misc/pareto/stk_dominatedhv.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/pareto/stk_dominatedhv.m ***** error hv = stk_dominatedhv (); ***** error hv = stk_dominatedhv (-y, 'incorrect ref type'); ***** error hv = stk_dominatedhv (-y, [0 0]); ***** error hv = stk_dominatedhv (-y, [0 0 0 0 0], 0, 'too many input args'); ***** shared y, hv0 % Example from README.TXT in WFG 1.10 y = [ ... 0.598 0.737 0.131 0.916 6.745; ... 0.263 0.740 0.449 0.753 6.964; ... 0.109 8.483 0.199 0.302 8.872 ]; hv0 = 1.1452351120; ***** test hv = stk_dominatedhv (-y); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test yy = stk_dataframe (- y); % Check that @stk_dataframe inputs are accepted hv = stk_dominatedhv (yy); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test hv = stk_dominatedhv (-y, [], 0); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test hv = stk_dominatedhv (-y, [0 0 0 0 0]); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test hv = stk_dominatedhv (1 - y, [1 1 1 1 1]); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test r = stk_dominatedhv (-y, [], 1); hv = sum (r.sign .* prod (r.xmax - r.xmin, 2)); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** shared y1, y2, y0, S, S1 y0 = [1.00 1.00]; % Reference point y1 = [1.50 1.50]; % Above the reference point y2 = [0.50 0.50]; % Below the reference point ***** assert (isequal (0.00, stk_dominatedhv (y1, y0))); ***** assert (isequal (0.25, stk_dominatedhv (y2, y0))); ***** assert (isequal (0.25, stk_dominatedhv ([y1; y2], y0))); ***** assert (isequal (0.25, stk_dominatedhv ([y2; y1; y2], y0))); ***** test S = stk_dominatedhv (y1, y0, 1); % empty decomposition ***** assert (isequal (size (S.xmin, 1), 0)); ***** test S = stk_dominatedhv (y2, y0, 1); % trivial decomposition ***** assert (isequal (S.sign, 1)); ***** assert (isequal (S.xmin, y2)); ***** assert (isequal (S.xmax, y0)); ***** test S1 = stk_dominatedhv ([y2; y0], y0, 1); % shoud be the same as before ***** assert (isequal (S1, S)); ***** test S1 = stk_dominatedhv ([y2; y1], y0, 1); % shoud be the same as before ***** assert (isequal (S1, S)); ***** test S1 = stk_dominatedhv ([y2; y2], y0, 1); % shoud be the same as before ***** assert (isequal (S1, S)); ***** test for d = 1:10, y = - 0.5 * ones (1, d); hv = stk_dominatedhv (y); assert (isequal (stk_dominatedhv (y), 0.5 ^ d)); end ***** test for d = 1:10, y = - 0.5 * ones (1, d); r = stk_dominatedhv (y, [], 1); hv = sum (r.sign .* prod (r.xmax - r.xmin, 2)); assert (isequal (stk_dominatedhv (y), 0.5 ^ d)); end ***** shared y, y_ref, dv, hv0 y1 = [0.25 0.75]; y2 = [0.50 0.50]; y3 = [0.75 0.25]; y_ref = [1 1]; y = {[], y1, y2, y3; [y1; y2], [y1; y3], [y2; y3], [y1; y2; y3]}; dv = 0.25 ^ 2; hv0 = [0 3 4 3; 5 5 5 6] * dv; ***** test hv1 = stk_dominatedhv (y, y_ref); assert (isequal (hv0, hv1)); ***** test r = stk_dominatedhv (y, y_ref, 1); % Check the first decomposition, which should be empty assert (isempty (r(1).sign)); assert (isempty (r(1).xmin)); assert (isempty (r(1).xmax)); % Check the other decompositions for i = 2:6, hv2 = sum (r(i).sign .* prod (r(i).xmax - r(i).xmin, 2)); assert (isequal (hv0(i), hv2)); end ***** test y = (0.3:0.1:0.8)'; hv0 = 0.7; hv1 = stk_dominatedhv (y, 1); r = stk_dominatedhv (y, 1, true); hv2 = sum (r.sign .* prod (r.xmax - r.xmin, 2)); ***** test % four non-dominated points (hypervolume) zr = [1 1]; zi = [0.2 0.8; 0.4 0.6; 0.6 0.4; 0.8 0.2] P = perms (1:4); for i = 1:24 HV = stk_dominatedhv (zi(P(i, :), :), zr, 0); assert (stk_isequal_tolrel (HV, 0.4, 1e-15)); end zi = 0.2000 0.8000 0.4000 0.6000 0.6000 0.4000 0.8000 0.2000 ***** test % four non-dominated points (decomposition) zr = [1 1]; zi = [0.2 0.8; 0.4 0.6; 0.6 0.4; 0.8 0.2] P = perms (1:4); for i = 1:24 S = stk_dominatedhv (zi(P(i, :), :), zr, 1); HV = sum (S.sign .* prod (S.xmax - S.xmin, 2)); assert (stk_isequal_tolrel (HV, 0.4, 1e-15)); end zi = 0.2000 0.8000 0.4000 0.6000 0.6000 0.4000 0.8000 0.2000 ***** test % a case with 8 points and 5 objectives % http://sourceforge.net/p/kriging/tickets/33 yr = [1.03 0.91 0.96 1.99 16.2]; y = [ ... 0.8180 0.5600 0.1264 1.0755 1.2462; ... 0.8861 0.6928 0.2994 0.7228 0.9848; ... 0.9021 0.8829 0.6060 0.1642 0.4282; ... 0.9116 0.3097 0.8601 0.0468 0.2813; ... 0.9306 0.1429 0.6688 0.1462 1.3661; ... 0.9604 0.3406 0.4046 0.7239 1.8741; ... 0.9648 0.7764 0.5199 0.4098 1.3436; ... 0.9891 0.4518 0.7956 0.1164 1.2025]; hv1 = stk_dominatedhv (y, yr, 0); S = stk_dominatedhv (y, yr, 1); hv2 = sum (S.sign .* prod (S.xmax - S.xmin, 2)); assert (isequal (size (S.sign), [87 1])); assert (isequal (size (S.xmin), [87 5])); assert (isequal (size (S.xmax), [87 5])); assert (stk_isequal_tolrel (hv1, 1.538677420906463, 2 * eps)); assert (stk_isequal_tolrel (hv1, hv2, eps)); ***** test % with random data NREP = 5; for p = 1:5 for n = 1:10 for i = 1:NREP % Draw random data y = rand (n, p); y = - y ./ (norm (y)); % Compute hypervolume directly hv1 = stk_dominatedhv (y, [], 0); % Compute decomposition, then hypervolume R = stk_dominatedhv (y, [], 1); hv2 = sum (R.sign .* prod (R.xmax - R.xmin, 2)); % Compare results assert (stk_isequal_tolabs (hv1, hv2, eps)); end end end 35 tests, 35 passed, 0 known failure, 0 skipped [inst/misc/pareto/stk_paretofind.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/pareto/stk_paretofind.m ***** shared x, ndpos, drank x = [ ... 0 2; ... 2 2; ... ]; ***** test [ndpos, drank] = stk_paretofind (x); ***** assert (isequal (ndpos, 1)); ***** assert (isequal (drank, [0; 1])); ***** shared x, ndpos, drank x = [ ... 3 2; ... 2 2; ... ]; ***** test [ndpos, drank] = stk_paretofind (x); ***** assert (isequal (ndpos, 2)); ***** assert (isequal (drank, [1; 0])); ***** shared x, ndpos, drank x = [ ... 1 0; ... 2 0; ... 0 2; ... 2 2; ... -1 3 ]; ***** test [ndpos, drank] = stk_paretofind (x); ***** assert (isequal (ndpos, [5; 3; 1])); ***** assert (isequal (drank, [0; 3; 0; 2; 0])); ***** shared x, ndpos, drank x = [ ... 1 0; ... 2 0; ... 0 2; ... 2 2; ... -1 3; ... -1 4; ... 2 2 ]; ***** test [ndpos, drank] = stk_paretofind (x); ***** assert (isequal (ndpos, [5; 3; 1])); ***** assert (isequal (drank, [0; 3; 0; 2; 0; 1; 2])); 12 tests, 12 passed, 0 known failure, 0 skipped [inst/misc/pareto/stk_isdominated.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/pareto/stk_isdominated.m ***** test A = [1 3 2]; B = [0 0 0]; [isdom, dpos] = stk_isdominated (A, B); assert (isdom == 1); assert (dpos == 1); ***** test A = [1 3 2]; B = [0 0 3]; [isdom, dpos] = stk_isdominated (A, B); assert (isdom == 0); assert (dpos == 0); ***** test A = [1 3 2]; B = [0 0 0; 0 0 3]; [isdom, dpos] = stk_isdominated (A, B); assert (isdom == 1); assert (dpos == 1); ***** test A = [1 3 2]; B = [0 0 3; 0 0 0]; [isdom, dpos] = stk_isdominated (A, B); assert (isdom == 1); assert (dpos == 2); ***** test A = [1 3 2; 1 0 1; -1 0 0; 1 3 2]; B = [1 0 0; 0 0 3; 0 0 0]; [isdom, dpos] = stk_isdominated (A, B); assert (isequal (isdom, logical ([1; 1; 0; 1]))); assert (isequal (dpos, [3; 3; 0; 3])); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/misc/text/stk_sprintf_colvect_fixedpoint.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_sprintf_colvect_fixedpoint.m ***** shared x, s x = [1.2; 3.48]; ***** test s = stk_sprintf_colvect_fixedpoint(x, 1); ***** assert (isequal(s, ['1'; '3'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 2); ***** assert (isequal(s, ['1'; '3'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 3); ***** assert (isequal(s, ['1.2'; '3.5'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 4); ***** assert (isequal(s, ['1.20'; '3.48'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 5); ***** assert (isequal(s, ['1.20'; '3.48'])) ***** shared x, s x = [1.2; -3.48]; ***** test s = stk_sprintf_colvect_fixedpoint(x, 1); ***** assert (isequal(s, ['#'; '#'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 2); ***** assert (isequal(s, [' 1'; '-3'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 3); ***** assert (isequal(s, [' 1'; '-3'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 4); ***** assert (isequal(s, [' 1.2'; '-3.5'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 5); ***** assert (isequal(s, [' 1.20'; '-3.48'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 6); ***** assert (isequal(s, [' 1.20'; '-3.48'])) ***** shared x, s x = [0.2; 0.48]; ***** test s = stk_sprintf_colvect_fixedpoint(x, 1); ***** assert (isequal(s, ['0'; '0'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 2); ***** assert (isequal(s, ['0'; '0'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 3); ***** assert (isequal(s, ['0.2'; '0.5'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 4); ***** assert (isequal(s, ['0.20'; '0.48'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 5); ***** assert (isequal(s, ['0.20'; '0.48'])) 32 tests, 32 passed, 0 known failure, 0 skipped [inst/misc/text/stk_sprintf_colvect_scientific.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_sprintf_colvect_scientific.m ***** shared x, s x = [1.2; -34567]; ***** test s = stk_sprintf_colvect_scientific(x, 1); ***** assert (isequal(s, ['#'; '#'])) ***** test s = stk_sprintf_colvect_scientific(x, 3); ***** assert (isequal(s, ['###'; '###'])) ***** test s = stk_sprintf_colvect_scientific(x, 5); ***** assert (isequal(s, ['#####'; '#####'])) ***** test s = stk_sprintf_colvect_scientific(x, 6); ***** assert (isequal(s, [' 1e+00'; '-3e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 7); ***** assert (isequal(s, [' 1e+00'; '-3e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 8); ***** assert (isequal(s, [' 1.2e+00'; '-3.5e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 9); ***** assert (isequal(s, [' 1.20e+00'; '-3.46e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 10); ***** assert (isequal(s, [' 1.200e+00'; '-3.457e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 11); ***** assert (isequal(s, [' 1.2000e+00'; '-3.4567e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 12); ***** assert (isequal(s, [' 1.2000e+00'; '-3.4567e+04'])) ***** shared x, s x = [0.9; 0.91; 0.99; 0.999]; ***** test s = stk_sprintf_colvect_scientific (x, 4); ***** assert (isequal(s, ['####'; '####'; '####'; '####'])) ***** test s = stk_sprintf_colvect_scientific (x, 5); ***** assert (isequal(s, ['9e-01'; '9e-01'; '1e+00'; '1e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 6); ***** assert (isequal(s, ['9e-01'; '9e-01'; '1e+00'; '1e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 7); ***** assert (isequal(s, ['9.0e-01'; '9.1e-01'; '9.9e-01'; '1.0e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 8); ***** assert (isequal(s, ['9.00e-01'; '9.10e-01'; '9.90e-01'; '9.99e-01'])) ***** shared x, s x = [0.9; -0.91; 0.99; 0.999]; ***** test s = stk_sprintf_colvect_scientific (x, 4); ***** assert (isequal(s, ['####'; '####'; '####'; '####'])) ***** test s = stk_sprintf_colvect_scientific (x, 5); ***** assert (isequal(s, ['#####'; '#####'; '#####'; '#####'])) ***** test s = stk_sprintf_colvect_scientific (x, 6); ***** assert (isequal(s, [' 9e-01'; '-9e-01'; ' 1e+00'; ' 1e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 7); ***** assert (isequal(s, [' 9e-01'; '-9e-01'; ' 1e+00'; ' 1e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 8); ***** assert (isequal(s, [' 9.0e-01'; '-9.1e-01'; ' 9.9e-01'; ' 1.0e+00'])) ***** test x = [1e6; -1e10; 1e-221]; s = stk_sprintf_colvect_scientific(x, 10); assert(isequal(s, [' 1e+006'; '-1e+010'; ' 1e-221'])); 41 tests, 41 passed, 0 known failure, 0 skipped [inst/misc/text/stk_disp_progress.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_disp_progress.m ***** error stk_disp_progress ('toto ', 0, 1); ***** test stk_disp_progress ('toto ', 1, 1); warning: implicit conversion from numeric to char warning: called from stk_disp_progress at line 53 column 1 __test__ at line 2 column 3 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1542 column 31 toto ***** error stk_disp_progress ('toto ', 2, 1); ***** test stk_disp_progress ('toto ', 1, 2); stk_disp_progress ('toto ', 2, 2); warning: implicit conversion from numeric to char warning: called from stk_disp_progress at line 53 column 1 __test__ at line 3 column 2 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1542 column 31 toto toto 4 tests, 4 passed, 0 known failure, 0 skipped [inst/misc/text/stk_sprintf_colvect.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_sprintf_colvect.m ***** shared s ***** test s = stk_sprintf_colvect ([1 1e1], 6); ***** assert (isequal (s, [' 1'; '10'])) ***** test s = stk_sprintf_colvect ([1 1e3], 6); ***** assert (isequal (s, [' 1'; '1000'])) ***** test s = stk_sprintf_colvect ([1 1e5], 6); ***** assert (isequal (s, [' 1'; '100000'])) ***** test s = stk_sprintf_colvect ([1 1e6], 6); ***** assert (isequal (s, ['1e+00'; '1e+06'])) 8 tests, 8 passed, 0 known failure, 0 skipped [inst/core/stk_predict.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_predict.m ***** shared n, m, model, x0, x_obs, z_obs, x_prd, y_prd1, idx_obs, idx_prd n = 10; % number of observations m = n + 1; % number of predictions d = 1; % dimension of the input space x0 = stk_sampling_regulargrid(n+m, d, [0; pi]); idx_obs = (2:2:(n+m-1))'; idx_prd = (1:2:(n+m))'; x_obs = x0(idx_obs); z_obs = sin (double (x_obs)); x_prd = x0(idx_prd); model = stk_model (@stk_materncov32_iso); model.param = log ([1.0; 2.1]); ***** error y_prd1 = stk_predict (); ***** error y_prd1 = stk_predict (model); ***** test y_prd1 = stk_predict (model, x_prd); ***** error y_prd1 = stk_predict (model, data, x_prd); ***** test y_prd1 = stk_predict (model, x_obs, z_obs, x_prd); ***** error y_prd1 = stk_predict (model, [x_obs; x_obs], [z_obs; z_obs], x_prd); ***** test % nargout = 2 [y_prd1, lambda] = stk_predict (model, x_obs, z_obs, x_prd); assert (isequal (size (lambda), [n m])); ***** test % nargout = 2, compute only variances [y_prd1, lambda] = stk_predict (model, x_obs, [], x_prd); assert (isequal (size (lambda), [n m])); assert (all (isnan (y_prd1.mean))); ***** test % nargout = 3 [y_prd1, lambda, mu] = stk_predict (model, x_obs, z_obs, x_prd); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging ***** test % nargout = 4 [y_prd1, lambda, mu, K] = stk_predict (model, x_obs, z_obs, x_prd); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging assert (isequal (size (K), [m m])); ***** test % predict on large set of locations x_prd = stk_sampling_regulargrid (1e5, 1, [0; pi]); y_prd = stk_predict (model, x_obs, z_obs, x_prd); ***** test % predict on an observation point % https://sourceforge.net/p/kriging/tickets/49/ [zp, lambda] = stk_predict (model, x_obs, z_obs, x_obs(4)); assert (isequal (z_obs(4), zp.mean)) assert (isequal (zp.var, 0)) lambda_ref = zeros (n, 1); lambda_ref(4) = 1; assert (isequal (lambda, lambda_ref)) 12 tests, 12 passed, 0 known failure, 0 skipped [inst/core/stk_make_matcov.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_make_matcov.m ***** shared model, model2, x0, x1, n0, n1, d, Ka, Kb, Kc, Pa, Pb, Pc n0 = 20; n1 = 10; d = 4; model = stk_model (@stk_materncov52_aniso, d); model.lm = stk_lm_affine; model.param = log ([1.0; 2.1; 2.2; 2.3; 2.4]); model2 = model; model2.lognoisevariance = log(0.01); x0 = stk_sampling_randunif (n0, d); x1 = stk_sampling_randunif (n1, d); ***** error [KK, PP] = stk_make_matcov (); ***** error [KK, PP] = stk_make_matcov (model); ***** test [Ka, Pa] = stk_make_matcov (model, x0); % (1) ***** test [Kb, Pb] = stk_make_matcov (model, x0, x0); % (2) ***** test [Kc, Pc] = stk_make_matcov (model, x0, x1); % (3) ***** error [KK, PP] = stk_make_matcov (model, x0, x1, pi); ***** assert (isequal (size (Ka), [n0 n0])); ***** assert (isequal (size (Kb), [n0 n0])); ***** assert (isequal (size (Kc), [n0 n1])); ***** assert (isequal (size (Pa), [n0 d + 1])); ***** assert (isequal (size (Pb), [n0 d + 1])); ***** assert (isequal (size (Pc), [n0 d + 1])); ***** assert (isequal (Kb, Ka)); ***** test [Ka, Pa] = stk_make_matcov (model2, x0); % (1') ***** test [Kb, Pb] = stk_make_matcov (model2, x0, x0); % (2') ***** error assert (isequal (Kb, Ka)); ***** assert (isequal (Pa, Pb)); ***** assert (isequal (Pa, Pc)); 18 tests, 18 passed, 0 known failure, 0 skipped [inst/core/@stk_kreq_qr/stk_kreq_qr.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/@stk_kreq_qr/stk_kreq_qr.m ***** test stk_test_class ('stk_kreq_qr') 1 test, 1 passed, 0 known failure, 0 skipped [inst/core/stk_model_update.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_model_update.m ***** test x1 = (linspace (0, 1, 15))'; z1 = sin (x1); x2 = (linspace (2, 3, 15))'; z2 = sin (x2); xt = (linspace (1, 2, 15))'; zt = sin (xt); % Prior model M0 = stk_model (@stk_materncov32_iso); M0.param = log ([1.0; 2.1]); M1 = stk_model_update (M0, x1, z1); M1 = stk_model_update (M1, x2, z2); % this calls @stk_model_gpposterior/... zp1 = stk_predict (M1, xt); M2 = stk_model_gpposterior (M0, [x1; x2], [z1; z2]); zp2 = stk_predict (M2, xt); assert (stk_isequal_tolabs (double (zp2 - zp1), zeros (15, 2), 1e-10)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/core/stk_predict_leaveoneout.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_predict_leaveoneout.m ***** shared n, x_obs, z_obs, model n = 20; x_obs = stk_sampling_regulargrid (n, 1, [0; 2*pi]); z_obs = stk_feval (@sin, x_obs); model = stk_model (@stk_materncov32_iso); model.param = log ([1; 5]); ***** test % one output loo_pred = stk_predict_leaveoneout (model, x_obs, z_obs); assert (isequal (size (loo_pred), [n 2])); assert (isequal (loo_pred.colnames, {'mean', 'var'})); assert (all (isfinite (loo_pred(:)))); ***** test % two outputs [loo_pred, loo_res] = stk_predict_leaveoneout (model, x_obs, z_obs); assert (isequal (size (loo_pred), [n 2])); assert (isequal (loo_pred.colnames, {'mean', 'var'})); assert (all (isfinite (loo_pred(:)))); assert (isequal (size (loo_res), [n 2])); assert (isequal (loo_res.colnames, {'residuals', 'norm_res'})); assert (all (isfinite (loo_res(:)))); ***** test % heteroscedastic noise case model.lognoisevariance = (1 + rand (n, 1)) * 1e-6; [loo_pred, loo_res] = stk_predict_leaveoneout (model, x_obs, z_obs); assert (isequal (size (loo_pred), [n 2])); assert (isequal (loo_pred.colnames, {'mean', 'var'})); assert (all (isfinite (loo_pred(:)))); assert (isequal (size (loo_res), [n 2])); assert (isequal (loo_res.colnames, {'residuals', 'norm_res'})); assert (all (isfinite (loo_res(:)))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/core/stk_cholcov.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_cholcov.m ***** shared Q, K, L, U, epsi Q = 0.25 * hadamard(4); ***** test K = Q * diag ([1, 0.1, 0.01, 1e-7]) * Q'; [U, epsi] = stk_cholcov (K); ***** assert (istriu (U)) ***** assert (epsi == 0) ***** test K = Q * diag ([1, 0.1, 0.01, 1e-7]) * Q'; [L, epsi] = stk_cholcov (K, 'lower'); ***** assert (istril (L)) ***** assert (epsi == 0) ***** test K = Q * diag ([1, 0.1, 0.01, -1e-7]) * Q'; [U, epsi] = stk_cholcov (K); ***** assert (istriu (U)) ***** assert (epsi > 0) ***** test K = Q * diag ([1, 0.1, 0.01, -1e-7]) * Q'; [L, epsi] = stk_cholcov (K, 'lower'); ***** assert (istril (L)) ***** assert (epsi > 0) 12 tests, 12 passed, 0 known failure, 0 skipped [inst/covfcs/stk_sphcov_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_sphcov_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_sphcov_aniso (); ***** error K0 = stk_sphcov_aniso (param); ***** error K0 = stk_sphcov_aniso (param, x); ***** test K1 = stk_sphcov_aniso (param, x, y); ***** test K2 = stk_sphcov_aniso (param, x, y, -1); ***** test K3 = stk_sphcov_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_sphcov_aniso (param, u, v, -1); K2 = stk_sphcov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); assert (isequal (K1, K2)); ***** error stk_sphcov_aniso (param, x, y, -2); ***** test stk_sphcov_aniso (param, x, y, -1); ***** error stk_sphcov_aniso (param, x, y, 0); ***** test stk_sphcov_aniso (param, x, y, 1); ***** test stk_sphcov_aniso (param, x, y, 2); ***** error stk_sphcov_aniso (param, x, y, 3); ***** error stk_sphcov_aniso (param, x, y, nan); ***** error stk_sphcov_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_sphcov_aniso (param, x, y); K2 = stk_sphcov_aniso (param, x, y, -1); assert (isequal (size(K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_sphcov_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_sphcov_aniso (param, x, y); K2 = stk_sphcov_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_sphcov_aniso (param, x, y, i); dK2 = stk_sphcov_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov32_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov32_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error K = stk_materncov32_iso ([param; 1.234], x, y); ***** error stk_materncov32_iso (); ***** error stk_materncov32_iso (param); ***** error stk_materncov32_iso (param, x); ***** test stk_materncov32_iso (param, x, y); ***** test stk_materncov32_iso (param, x, y, -1); ***** test stk_materncov32_iso (param, x, y, -1, false); ***** error stk_materncov32_iso (param, x, y, -2); ***** test stk_materncov32_iso (param, x, y, -1); ***** error stk_materncov32_iso (param, x, y, 0); ***** test stk_materncov32_iso (param, x, y, 1); ***** test stk_materncov32_iso (param, x, y, 2); ***** error stk_materncov32_iso (param, x, y, 3); ***** error stk_materncov32_iso (param, x, y, nan); ***** error stk_materncov32_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov32_iso (param, x, y); K2 = stk_materncov32_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_materncov32_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_materncov32_iso (param, x, y); K2 = stk_materncov32_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_materncov32_iso (param, x, y, i); dK2 = stk_materncov32_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/covfcs/stk_expcov_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_expcov_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_expcov_aniso (); ***** error K0 = stk_expcov_aniso (param); ***** error K0 = stk_expcov_aniso (param, x); ***** test K1 = stk_expcov_aniso (param, x, y); ***** test K2 = stk_expcov_aniso (param, x, y, -1); ***** test K3 = stk_expcov_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_expcov_aniso (param, u, v, -1); K2 = stk_expcov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); ***** error stk_expcov_aniso (param, x, y, -2); ***** test stk_expcov_aniso (param, x, y, -1); ***** error stk_expcov_aniso (param, x, y, 0); ***** test stk_expcov_aniso (param, x, y, 1); ***** test stk_expcov_aniso (param, x, y, 2); ***** error stk_expcov_aniso (param, x, y, 3); ***** error stk_expcov_aniso (param, x, y, nan); ***** error stk_expcov_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_expcov_aniso (param, x, y); K2 = stk_expcov_aniso (param, x, y, -1); assert (isequal (size(K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_expcov_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_expcov_aniso (param, x, y); K2 = stk_expcov_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_expcov_aniso (param, x, y, i); dK2 = stk_expcov_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov52_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov52_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error K = stk_materncov52_iso ([param; 1.234], x, y); ***** error stk_materncov52_iso (); ***** error stk_materncov52_iso (param); ***** error stk_materncov52_iso (param, x); ***** test stk_materncov52_iso (param, x, y); ***** test stk_materncov52_iso (param, x, y, -1); ***** test stk_materncov52_iso (param, x, y, -1, false); ***** error stk_materncov52_iso (param, x, y, -2); ***** test stk_materncov52_iso (param, x, y, -1); ***** error stk_materncov52_iso (param, x, y, 0); ***** test stk_materncov52_iso (param, x, y, 1); ***** test stk_materncov52_iso (param, x, y, 2); ***** error stk_materncov52_iso (param, x, y, 3); ***** error stk_materncov52_iso (param, x, y, nan); ***** error stk_materncov52_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov52_iso (param, x, y); K2 = stk_materncov52_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_materncov52_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_materncov52_iso (param, x, y); K2 = stk_materncov52_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_materncov52_iso (param, x, y, i); dK2 = stk_materncov52_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/covfcs/stk_sphcov_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_sphcov_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error K = stk_sphcov_iso ([param; 1.234], x, y); ***** error stk_sphcov_iso (); ***** error stk_sphcov_iso (param); ***** error stk_sphcov_iso (param, x); ***** test stk_sphcov_iso (param, x, y); ***** test stk_sphcov_iso (param, x, y, -1); ***** test stk_sphcov_iso (param, x, y, -1, false); ***** error stk_sphcov_iso (param, x, y, -2); ***** test stk_sphcov_iso (param, x, y, -1); ***** error stk_sphcov_iso (param, x, y, 0); ***** test stk_sphcov_iso (param, x, y, 1); ***** test stk_sphcov_iso (param, x, y, 2); ***** error stk_sphcov_iso (param, x, y, 3); ***** error stk_sphcov_iso (param, x, y, nan); ***** error stk_sphcov_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_sphcov_iso (param, x, y); K2 = stk_sphcov_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_sphcov_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_sphcov_iso (param, x, y); K2 = stk_sphcov_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_sphcov_iso (param, x, y, i); dK2 = stk_sphcov_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/covfcs/stk_discretecov.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_discretecov.m ***** shared model, model2, x0 n0 = 20; n1 = 10; dim = 4; x0 = stk_sampling_randunif (n0, dim); x1 = stk_sampling_randunif (n1, dim); model = stk_model (@stk_materncov52_aniso, dim); model.lm = stk_lm_affine (); model.param = log ([1.0; 2.1; 2.2; 2.3; 2.4]); ***** test % without noise, pairwise = false model.lognoisevariance = - inf; model2 = stk_model (@stk_discretecov, model, x0); idx = [1 4 9]; [K1, P1] = stk_make_matcov (model, x0(idx, :)); [K2, P2] = stk_make_matcov (model2, idx'); assert (stk_isequal_tolrel (K1, K2)); assert (stk_isequal_tolrel (P1, P2)); ***** test % without noise, pairwise = true K1 = stk_make_matcov (model, x0([2 5 6], :), [], true); K2 = stk_make_matcov (model2, [2 5 6]', [], true); assert (stk_isequal_tolrel (K1, K2)); ***** test % with noise, pairwise = false model.lognoisevariance = log (0.01); model2 = stk_model (@stk_discretecov, model, x0); idx = [1 4 9]; [K1, P1] = stk_make_matcov (model, x0(idx, :)); [K2, P2] = stk_make_matcov (model2, idx'); assert (stk_isequal_tolrel (K1, K2)); assert (stk_isequal_tolrel (P1, P2)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov32_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov32_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_materncov32_aniso (); ***** error K0 = stk_materncov32_aniso (param); ***** error K0 = stk_materncov32_aniso (param, x); ***** test K1 = stk_materncov32_aniso (param, x, y); ***** test K2 = stk_materncov32_aniso (param, x, y, -1); ***** test K3 = stk_materncov32_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_materncov32_aniso (param, u, v, -1); K2 = stk_materncov32_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); assert (isequal (K1, K2)); ***** error stk_materncov32_aniso (param, x, y, -2); ***** test stk_materncov32_aniso (param, x, y, -1); ***** error stk_materncov32_aniso (param, x, y, 0); ***** test stk_materncov32_aniso (param, x, y, 1); ***** test stk_materncov32_aniso (param, x, y, 2); ***** error stk_materncov32_aniso (param, x, y, 3); ***** error stk_materncov32_aniso (param, x, y, nan); ***** error stk_materncov32_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov32_aniso (param, x, y); K2 = stk_materncov32_aniso (param, x, y, -1); assert (isequal (size(K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_materncov32_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_materncov32_aniso (param, x, y); K2 = stk_materncov32_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_materncov32_aniso (param, x, y, i); dK2 = stk_materncov32_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_noisecov.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_noisecov.m ***** shared ni, lognoisevariance, diff ni = 5; lognoisevariance = 0.0; diff = -1; ***** error K = stk_noisecov (); ***** error K = stk_noisecov (ni); ***** test K = stk_noisecov (ni, lognoisevariance); ***** test K = stk_noisecov (ni, lognoisevariance, diff); ***** test K = stk_noisecov (ni, lognoisevariance, diff, true); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/covfcs/stk_expcov_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_expcov_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error K = stk_expcov_iso ([param; 1.234], x, y); ***** error stk_expcov_iso (); ***** error stk_expcov_iso (param); ***** error stk_expcov_iso (param, x); ***** test stk_expcov_iso (param, x, y); ***** test stk_expcov_iso (param, x, y, -1); ***** test stk_expcov_iso (param, x, y, -1, false); ***** error stk_expcov_iso (param, x, y, -2); ***** test stk_expcov_iso (param, x, y, -1); ***** error stk_expcov_iso (param, x, y, 0); ***** test stk_expcov_iso (param, x, y, 1); ***** test stk_expcov_iso (param, x, y, 2); ***** error stk_expcov_iso (param, x, y, 3); ***** error stk_expcov_iso (param, x, y, nan); ***** error stk_expcov_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_expcov_iso (param, x, y); K2 = stk_expcov_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_expcov_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_expcov_iso (param, x, y); K2 = stk_expcov_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_expcov_iso (param, x, y, i); dK2 = stk_expcov_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/covfcs/stk_gausscov_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_gausscov_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_gausscov_aniso (); ***** error K0 = stk_gausscov_aniso (param); ***** error K0 = stk_gausscov_aniso (param, x); ***** test K1 = stk_gausscov_aniso (param, x, y); ***** test K2 = stk_gausscov_aniso (param, x, y, -1); ***** test K3 = stk_gausscov_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_gausscov_aniso (param, u, v, -1); K2 = stk_gausscov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); ***** error stk_gausscov_aniso (param, x, y, -2); ***** test stk_gausscov_aniso (param, x, y, -1); ***** error stk_gausscov_aniso (param, x, y, 0); ***** test stk_gausscov_aniso (param, x, y, 1); ***** test stk_gausscov_aniso (param, x, y, 2); ***** error stk_gausscov_aniso (param, x, y, 3); ***** error stk_gausscov_aniso (param, x, y, nan); ***** error stk_gausscov_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_gausscov_aniso (param, x, y); K2 = stk_gausscov_aniso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_gausscov_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_gausscov_aniso (param, x, y); K2 = stk_gausscov_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_gausscov_aniso (param, x, y, i); dK2 = stk_gausscov_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_gausscov_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_gausscov_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error K = stk_gausscov_iso ([param; 1.234], x, y); ***** error stk_gausscov_iso (); ***** error stk_gausscov_iso (param); ***** error stk_gausscov_iso (param, x); ***** test stk_gausscov_iso (param, x, y); ***** test stk_gausscov_iso (param, x, y, -1); ***** test stk_gausscov_iso (param, x, y, -1, false); ***** error stk_gausscov_iso (param, x, y, -2); ***** test stk_gausscov_iso (param, x, y, -1); ***** error stk_gausscov_iso (param, x, y, 0); ***** test stk_gausscov_iso (param, x, y, 1); ***** test stk_gausscov_iso (param, x, y, 2); ***** error stk_gausscov_iso (param, x, y, 3); ***** error stk_gausscov_iso (param, x, y, nan); ***** error stk_gausscov_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_gausscov_iso (param, x, y); K2 = stk_gausscov_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_gausscov_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_gausscov_iso (param, x, y); K2 = stk_gausscov_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_gausscov_iso (param, x, y, i); dK2 = stk_gausscov_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 1.5; 2.9]); x = stk_sampling_randunif(5, dim); y = stk_sampling_randunif(5, dim); ***** error K = stk_materncov_iso ([param; 1.234], x, y); ***** error stk_materncov_iso(); ***** error stk_materncov_iso(param); ***** error stk_materncov_iso(param, x); ***** test stk_materncov_iso(param, x, y); ***** test stk_materncov_iso(param, x, y, -1); ***** test stk_materncov_iso(param, x, y, -1, false); ***** error stk_materncov_iso(param, x, y, -2); ***** test stk_materncov_iso(param, x, y, -1); ***** error stk_materncov_iso(param, x, y, 0); ***** test stk_materncov_iso(param, x, y, 1); ***** test stk_materncov_iso(param, x, y, 2); ***** test stk_materncov_iso(param, x, y, 3); ***** error stk_materncov_iso(param, x, y, 4); ***** error stk_materncov_iso(param, x, y, nan); ***** error stk_materncov_iso(param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 1.5; 2.9]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov_iso (param, x, y); K2 = stk_materncov_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:3, dK = stk_materncov_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif(n, dim); y = stk_sampling_randunif(n, dim); K1 = stk_materncov_iso(param, x, y); K2 = stk_materncov_iso(param, x, y, -1, true); assert(isequal(size(K1), [n n])); assert(stk_isequal_tolabs(K2, diag(K1))); for i = 1:3, dK1 = stk_materncov_iso(param, x, y, i); dK2 = stk_materncov_iso(param, x, y, i, true); assert(isequal(size(dK1), [n n])); assert(stk_isequal_tolabs(dK2, diag(dK1))); end 19 tests, 19 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov52_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov52_aniso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error stk_materncov52_aniso (); ***** error stk_materncov52_aniso (param); ***** error stk_materncov52_aniso (param, x); ***** test stk_materncov52_aniso (param, x, y); ***** test stk_materncov52_aniso (param, x, y, -1); ***** test stk_materncov52_aniso (param, x, y, -1, false); ***** error stk_materncov52_aniso (param, x, y, -2); ***** test stk_materncov52_aniso (param, x, y, -1); ***** error stk_materncov52_aniso (param, x, y, 0); ***** test stk_materncov52_aniso (param, x, y, 1); ***** test stk_materncov52_aniso (param, x, y, 2); ***** error stk_materncov52_aniso (param, x, y, 3); ***** error stk_materncov52_aniso (param, x, y, nan); ***** error stk_materncov52_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov52_aniso (param, x, y); K2 = stk_materncov52_aniso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_materncov52_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_materncov52_aniso (param, x, y); K2 = stk_materncov52_aniso(param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_materncov52_aniso (param, x, y, i); dK2 = stk_materncov52_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 17 tests, 17 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_exponential.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_exponential.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_exponential (); ***** test stk_rbf_exponential (h); ***** test stk_rbf_exponential (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_exponential (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% check derivative numerically h = [-1 -0.5 -0.1 0.1 0.5 1]; delta = 1e-9; d1 = (stk_rbf_exponential (h + delta) - stk_rbf_exponential (h)) / delta; d2 = stk_rbf_exponential (h, 1); assert (stk_isequal_tolabs (d1, d2, 1e-4)); ***** test %% consistency with stk_rbf_matern: function values for h = 0.1:0.1:2.0, x = stk_rbf_matern (1/2, h); y = stk_rbf_exponential (h); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** test %% consistency with stk_rbf_matern: derivatives for h = 0.1:0.1:2.0, x = stk_rbf_matern (1/2, h, 2); y = stk_rbf_exponential (h, 1); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** assert (stk_rbf_exponential (inf) == 0) 8 tests, 8 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_gauss.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_gauss.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_gauss (); ***** test stk_rbf_gauss (h); ***** test stk_rbf_gauss (h, diff); ***** test % h = 0.0 => correlation = 1.0 x = stk_rbf_gauss (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_matern.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_matern.m ***** shared nu, h, diff nu = 1.0; h = 1.0; diff = -1; ***** error stk_rbf_matern (); ***** error stk_rbf_matern (nu); ***** test stk_rbf_matern (nu, h); ***** test stk_rbf_matern (nu, h, diff); ***** test %% h = 0.0 => correlation = 1.0 for nu = 0.1:0.2:5.0, x = stk_rbf_matern (nu, 0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); end 5 tests, 5 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_matern32.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_matern32.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_matern32 (); ***** test stk_rbf_matern32 (h); ***** test stk_rbf_matern32 (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_matern32 (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% consistency with stk_rbf_matern: function values for h = 0.1:0.1:2.0, x = stk_rbf_matern (3/2, h); y = stk_rbf_matern32 (h); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** test %% consistency with stk_rbf_matern: derivatives for h = 0.1:0.1:2.0, x = stk_rbf_matern (3/2, h, 2); y = stk_rbf_matern32 (h, 1); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** assert (stk_rbf_matern32 (inf) == 0) 7 tests, 7 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_matern52.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_matern52.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_matern52 (); ***** test stk_rbf_matern52 (h); ***** test stk_rbf_matern52 (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_matern52 (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% consistency with stk_rbf_matern: function values for h = 0.1:0.1:2.0, x = stk_rbf_matern (5/2, h); y = stk_rbf_matern52 (h); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** test %% consistency with stk_rbf_matern: derivatives for h = 0.1:0.1:2.0, x = stk_rbf_matern (5/2, h, 2); y = stk_rbf_matern52 (h, 1); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** assert (stk_rbf_matern52 (inf) == 0) 7 tests, 7 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_spherical.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_spherical.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_spherical (); ***** test stk_rbf_spherical (h); ***** test stk_rbf_spherical (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_spherical (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% check derivative numerically h = [-1 -0.5 -0.1 0.1 0.5 1]; delta = 1e-9; d1 = (stk_rbf_spherical (h + delta) - stk_rbf_spherical (h)) / delta; d2 = stk_rbf_spherical (h, 1); assert (stk_isequal_tolabs (d1, d2, 1e-4)); ***** assert (stk_rbf_spherical (inf) == 0) 6 tests, 6 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov_aniso.m ***** shared param, x, y dim = 1; param = log ([1.0; 1.5; 2.8]); x = stk_sampling_randunif(5, dim); y = stk_sampling_randunif(5, dim); ***** error stk_materncov_aniso(); ***** error stk_materncov_aniso(param); ***** error stk_materncov_aniso(param, x); ***** test stk_materncov_aniso(param, x, y); ***** test stk_materncov_aniso(param, x, y, -1); ***** test stk_materncov_aniso(param, x, y, -1, false); ***** error stk_materncov_aniso(param, x, y, -2); ***** test stk_materncov_aniso(param, x, y, -1); ***** error stk_materncov_aniso(param, x, y, 0); ***** test stk_materncov_aniso(param, x, y, 1); ***** test stk_materncov_aniso(param, x, y, 2); ***** test stk_materncov_aniso(param, x, y, 3); ***** error stk_materncov_aniso(param, x, y, 4); ***** error stk_materncov_aniso(param, x, y, nan); ***** error stk_materncov_aniso(param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 1.5; 2.8; 2.7; 2.9]); nx = 4; ny = 10; x = stk_sampling_randunif(nx, dim); y = stk_sampling_randunif(ny, dim); ***** test K1 = stk_materncov_aniso(param, x, y); K2 = stk_materncov_aniso(param, x, y, -1); assert(isequal(size(K1), [nx ny])); assert(stk_isequal_tolabs(K1, K2)); ***** test for i = 1:(dim+2), dK = stk_materncov_aniso(param, x, y, i); assert(isequal(size(dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif(n, dim); y = stk_sampling_randunif(n, dim); K1 = stk_materncov_aniso(param, x, y); K2 = stk_materncov_aniso(param, x, y, -1, true); assert(isequal(size(K1), [n n])); assert(stk_isequal_tolabs(K2, diag(K1))); for i = 1:(dim+2), dK1 = stk_materncov_aniso(param, x, y, i); dK2 = stk_materncov_aniso(param, x, y, i, true); assert(isequal(size(dK1), [n n])); assert(stk_isequal_tolabs(dK2, diag(dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_constant/stk_lm_constant.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_constant/stk_lm_constant.m ***** test stk_test_class ('stk_lm_constant') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_constant/feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_constant/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_constant (), x); assert (isequal (size (P), [n, 1])); 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_quadratic/stk_lm_quadratic.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_quadratic/stk_lm_quadratic.m ***** test stk_test_class ('stk_lm_quadratic') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_quadratic/feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_quadratic/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_quadratic (), x); assert (isequal (size (P), [n, 1 + d * (d + 3) / 2])); 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/stk_lm_polynomial.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/stk_lm_polynomial.m ***** error lm = stk_lm_polynomial (); ***** test lm = stk_lm_polynomial (-1); assert (isa (lm, 'stk_lm_null')); ***** test lm = stk_lm_polynomial (0); assert (isa (lm, 'stk_lm_constant')); ***** test lm = stk_lm_polynomial (1); assert (isa (lm, 'stk_lm_affine')); ***** test lm = stk_lm_polynomial (2); assert (isa (lm, 'stk_lm_quadratic')); ***** test lm = stk_lm_polynomial (3); assert (isa (lm, 'stk_lm_cubic')); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_matrix/stk_lm_matrix.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_matrix/stk_lm_matrix.m ***** test stk_test_class ('stk_lm_matrix') ***** test %%% dim 1 data = rand (10, 1); idx = 3:7; lm = stk_lm_matrix (data); assert (isa (lm, 'stk_lm_matrix')); assert (isequal (data(idx, :), feval (lm, idx))); ***** test %%% dim 3 data = rand (10, 3); idx = 3:7; lm = stk_lm_matrix (data); assert (isa (lm, 'stk_lm_matrix')); assert (isequal (data(idx, :), feval (lm, idx))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_cubic/stk_lm_cubic.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_cubic/stk_lm_cubic.m ***** test stk_test_class ('stk_lm_cubic') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_cubic/feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_cubic/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_cubic (), x); assert (isequal (size (P), [n, 1 + d * (11 + d * (6 + d)) / 6])) 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_affine/stk_lm_affine.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_affine/stk_lm_affine.m ***** test stk_test_class ('stk_lm_affine') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_affine/feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_affine/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_affine (), x); assert (isequal (size (P), [n, d + 1])); 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_null/stk_lm_null.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_null/stk_lm_null.m ***** test stk_test_class ('stk_lm_null') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_null/feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_null/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_null (), x); assert (isequal (size (P), [n, 0])); 1 test, 1 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_init.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_init.m ***** test xi = (1:10)'; zi = sin (xi); model = stk_model (@stk_materncov52_iso); model.param = stk_param_init (model, xi, zi, [1; 10], false); xt = (1:9)' + 0.5; zt = sin (xt); zp = stk_predict (model, xi, zi, xt); assert (sum ((zt - zp.mean) .^ 2) < 1e-3); ***** test % check equivariance of parameter estimates f = @(x) sin (x); xi = stk_sampling_regulargrid (10, 1); zi = stk_feval (f, xi); shift = 1000; scale = 0.01; model = stk_model (@stk_materncov32_iso); p1 = stk_param_init (model, xi, zi); p2 = stk_param_init (model, xi, shift + scale .* zi); assert (stk_isequal_tolabs (p2(1), p1(1) + log (scale^2), 1e-10)) assert (stk_isequal_tolabs (p2(2), p1(2), eps)) ***** shared xi, zi, BOX, xt, zt f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); DIM = 1; % Dimension of the factor space BOX = [-1.0; 1.0]; % Factor space xi = stk_sampling_regulargrid (20, DIM, BOX); % Evaluation points zi = stk_feval (f, xi); % Evaluation results NT = 400; % Number of points in the grid xt = stk_sampling_regulargrid (NT, DIM, BOX); % Generate a regular grid zt = stk_feval (f, xt); % Values of f on the grid ***** xtest % This test is known to fail in Debian buster i386 % because of a known problem in Octave's sqp/qp functions % http://savannah.gnu.org/bugs/?38875 model = stk_model (@stk_materncov_iso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 7 column 14 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1862 column 31 ***** test model = stk_model (@stk_materncov_aniso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 5 column 14 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1862 column 31 ***** test model = stk_model (@stk_materncov32_iso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) ***** test model = stk_model (@stk_materncov32_aniso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) ***** test model = stk_model (@stk_materncov52_iso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) ***** test model = stk_model (@stk_materncov52_aniso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) ***** test model = stk_model (@stk_gausscov_iso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) warning: matrix singular to machine precision, rcond = 1.21281e-17 warning: called from linsolve at line 113 column 7 linsolve at line 42 column 3 stk_set_righthandside at line 44 column 16 stk_make_kreq at line 35 column 6 stk_predict_ at line 112 column 10 stk_predict at line 104 column 16 __test__ at line 6 column 5 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1862 column 31 ***** test model = stk_model (@stk_gausscov_aniso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) warning: matrix singular to machine precision, rcond = 3.93346e-18 warning: called from linsolve at line 113 column 7 linsolve at line 42 column 3 stk_set_righthandside at line 44 column 16 stk_make_kreq at line 35 column 6 stk_predict_ at line 112 column 10 stk_predict at line 104 column 16 __test__ at line 6 column 5 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1862 column 31 ***** test % Homoscedastic case / do_estim_lnv = true model = stk_model (@stk_materncov32_iso); [model.param, model.lognoisevariance] = ... stk_param_init (model, xi, zi, BOX, true); [model.param, model.lognoisevariance] = ... stk_param_estim (model, xi, zi); zp = stk_predict (model, xi, zi, xt); assert (model.lognoisevariance > -inf); assert (max ((zp.mean - zt) .^ 2) < 1e-3) warning: This way of setting do_estim_lnv is deprecated warning: called from stk_param_init>stk_param_init_ at line 250 column 5 stk_param_init at line 87 column 18 __test__ at line 4 column 40 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1862 column 31 ***** error % Homoscedastic case / do_estim_lnv = false / model.lnv = nan model = stk_model (@stk_materncov32_iso); model.lognoisevariance = nan; % not compatible with do_estim_lnv == false [model.param, model.lognoisevariance] = ... stk_param_init (model, xi, zi, BOX, false); ***** test % Heteroscedastic case / known noise variance model = stk_model (@stk_materncov32_iso); lnv = log ((100 + rand (size (zi))) / 1e6); model.lognoisevariance = lnv; % here we say that lnv is known [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (isequal (model.lognoisevariance, lnv)); % should be untouched assert (max ((zp.mean - zt) .^ 2) < 1e-3) ***** shared model, x, z model = stk_model (@stk_materncov52_iso); n = 10; x = stk_sampling_regulargrid (n, 1, [0; 1]); z = ones (size (x)); ***** test % Constant response, noiseless model [param, lnv] = stk_param_init (model, x, z); assert ((all (isfinite (param))) && (length (param) == 2)); assert (isequal (lnv, -inf)); warning: Parameter estimation is impossible with constant-response data. warning: called from stk_param_init>paraminit_ at line 351 column 5 stk_param_init>stk_param_init_ at line 323 column 14 stk_param_init at line 87 column 18 __test__ at line 3 column 15 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1862 column 31 ***** test % Constant response, noisy model model.lognoisevariance = nan; [param, lnv] = stk_param_init (model, x, z); assert ((all (isfinite (param))) && (length (param) == 2)); assert (isscalar (lnv) && isfinite (lnv)); warning: Parameter estimation is impossible with constant-response data. warning: called from stk_param_init>paraminit_ at line 351 column 5 stk_param_init>stk_param_init_ at line 323 column 14 stk_param_init at line 87 column 18 __test__ at line 4 column 15 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1862 column 31 15 tests, 15 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_gls.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_gls.m ***** shared xi, zi, model, beta, sigma2 xi = (1:10)'; zi = sin (xi); model = stk_model (@stk_materncov52_iso); model.param = [0.0 0.0]; ***** test model.lm = stk_lm_constant (); [beta, sigma2] = stk_param_gls (model, xi, zi); ***** assert (stk_isequal_tolabs (beta, 0.1346064, 1e-6)) ***** assert (stk_isequal_tolabs (sigma2, 0.4295288, 1e-6)) ***** test model.lm = stk_lm_affine (); [beta, sigma2] = stk_param_gls (model, xi, zi); ***** assert (stk_isequal_tolabs (beta, [0.4728342; -0.0614960], 1e-6)) ***** assert (stk_isequal_tolabs (sigma2, 0.4559431, 1e-6)) ***** test model.lm = stk_lm_null (); [beta, sigma2] = stk_param_gls (model, xi, zi); ***** assert (isequal (beta, zeros (0, 1))) ***** assert (stk_isequal_tolabs (sigma2, 0.3977993, 1e-6)) 9 tests, 9 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_relik.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_relik.m ***** shared f, xi, zi, NI, model, C, dC1, dC2 f = @(x)(- (0.8 * x(:, 1) + sin (5 * x(:, 2) + 1) ... + 0.1 * sin (10 * x(:, 3)))); DIM = 3; NI = 20; box = repmat ([-1.0; 1.0], 1, DIM); xi = stk_sampling_halton_rr2 (NI, DIM, box); zi = stk_feval (f, xi); SIGMA2 = 1.0; % variance parameter NU = 4.0; % regularity parameter RHO1 = 0.4; % scale (range) parameter model = stk_model (@stk_materncov_aniso); model.param = log ([SIGMA2; NU; 1/RHO1 * ones(DIM, 1)]); ***** error [C, dC1, dC2] = stk_param_relik (); ***** error [C, dC1, dC2] = stk_param_relik (model); ***** error [C, dC1, dC2] = stk_param_relik (model, xi); ***** test [C, dC1, dC2] = stk_param_relik (model, xi, zi); ***** test TOL_REL = 0.01; assert (stk_isequal_tolrel (C, 21.6, TOL_REL)); assert (stk_isequal_tolrel (dC1, [4.387 -0.1803 0.7917 0.1392 2.580]', TOL_REL)); assert (isequal (dC2, [])); ***** shared xi, zi, model, TOL_REL xi = [-1 -.6 -.2 .2 .6 1]'; zi = [-0.11 1.30 0.23 -1.14 0.36 -0.37]'; model = stk_model (@stk_materncov_iso); model.param = log ([1.0 4.0 2.5]); model.lognoisevariance = log (0.01); TOL_REL = 0.01; ***** test % Another simple 1D check [C, dC1, dC2] = stk_param_relik (model, xi, zi); assert (stk_isequal_tolrel (C, 6.327, TOL_REL)); assert (stk_isequal_tolrel (dC1, [0.268 0.0149 -0.636]', TOL_REL)); assert (stk_isequal_tolrel (dC2, -1.581e-04, TOL_REL)); ***** test % Same 1D test with simple kriging model.lm = stk_lm_null; [C, dC1, dC2] = stk_param_relik (model, xi, zi); assert (stk_isequal_tolrel (C, 7.475, TOL_REL)); assert (stk_isequal_tolrel (dC1, [0.765 0.0238 -1.019]', TOL_REL)); assert (stk_isequal_tolrel (dC2, 3.0517e-03, TOL_REL)); ***** test % Check the gradient on a 2D test case f = @stk_testfun_braninhoo; DIM = 2; BOX = [[-5; 10], [0; 15]]; NI = 20; TOL_REL = 1e-2; DELTA = 1e-6; model = stk_model (@stk_materncov52_iso, DIM); model.param = [1 1]; xi = stk_sampling_halton_rr2 (NI, DIM, BOX); zi = stk_feval (f, xi); for range = [0.3 2 10] model.param(2) = - log (range); for diff = 1:2 assert (stk_test_critgrad ... (@stk_param_relik, model, xi, zi, diff, 1e-6)); end end 8 tests, 8 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_init_lnv.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_init_lnv.m ***** test f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); ni = 20; xi = (linspace (-1, 1, ni))' + 0.2 * (randn (ni, 1)); zi = stk_feval (f, xi); model = stk_model (@stk_materncov_iso); model.param = log ([1; 5/2; 1/0.4]); model.lognoisevariance = nan; lnv = stk_param_init_lnv (model, xi, zi); assert ((isscalar (lnv)) && (lnv > -30) && (lnv < 30)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_estim.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_estim.m ***** shared f, xi, zi, NI, param0, param1, model f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x)) ); DIM = 1; NI = 20; box = [-1.0; 1.0]; xi = stk_sampling_regulargrid (NI, DIM, box); SIGMA2 = 1.0; % variance parameter NU = 4.0; % regularity parameter RHO1 = 0.4; % scale (range) parameter param0 = log ([SIGMA2; NU; 1/RHO1]); model = stk_model (@stk_materncov_iso); ***** test % noiseless zi = stk_feval (f, xi); param1 = stk_param_estim (model, xi, zi, param0); assert (isequal (size (param1), size (param0))) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 4 column 9 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1894 column 31 ***** test % same thing, with empty lnv0 (ok) param2 = stk_param_estim (model, xi, zi, param0, []); assert (stk_isequal_tolrel (param2, param1, 1e-2)) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 3 column 9 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1894 column 31 ***** error % same thing, with lnv0 == NaN (not ok as a starting point) param2 = stk_param_estim (model, xi, zi, param0, nan); ***** error % same thing, with lnv0 == -inf (not ok as a starting point) param2 = stk_param_estim (model, xi, zi, param0, -inf); ***** test % same thing, with explicit value for 'criterion' param2 = stk_param_estim (model, xi, zi, param0, [], @stk_param_relik); assert (stk_isequal_tolrel (param1, param2, 1e-2)) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 3 column 9 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1894 column 31 ***** test % noiseless zi = stk_feval (f, xi); param1 = stk_param_estim (model, xi, zi, param0); param2 = stk_param_estim (model, xi, zi, param0, [], @stk_param_relik); % We cannot assume a DETERMINISTIC optimization algorithm % (for some reason, Octave's sqp is not exactly deterministic) assert (stk_isequal_tolrel (param1, param2, 1e-2)) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 4 column 9 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1894 column 31 warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 5 column 9 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1894 column 31 ***** test % noisy NOISE_STD_TRUE = 0.1; NOISE_STD_INIT = 1e-5; zi = zi + NOISE_STD_TRUE * randn(NI, 1); model.lognoisevariance = 2 * log(NOISE_STD_INIT); [param, lnv] = stk_param_estim ... (model, xi, zi, param0, model.lognoisevariance); ***** error param = stk_param_estim () ***** error param = stk_param_estim (model); ***** error param = stk_param_estim (model, xi); ***** test % Constant response model = stk_model (@stk_materncov52_iso); n = 10; x = stk_sampling_regulargrid (n, 1, [0; 1]); z = ones (size (x)); param = stk_param_estim (model, x, z); assert ((all (isfinite (param))) && (length (param) == 2)); warning: Constant-response data: the output of stk_param_estim is likely to be unreliable. warning: called from stk_param_estim at line 95 column 5 __test__ at line 5 column 8 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1894 column 31 warning: Parameter estimation is impossible with constant-response data. warning: called from stk_param_init>paraminit_ at line 351 column 5 stk_param_init>stk_param_init_ at line 323 column 14 stk_param_init at line 87 column 18 stk_param_estim>provide_starting_point at line 205 column 20 stk_param_estim at line 110 column 30 __test__ at line 5 column 8 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1894 column 31 11 tests, 11 passed, 0 known failure, 0 skipped Checking C++ files ... Done running the unit tests. Summary: 1558 tests, 1558 passed, 0 known failures, 0 skipped dh_installdocs -O--buildsystem=octave dh_installchangelogs -O--buildsystem=octave dh_octave_changelogs -O--buildsystem=octave dh_octave_examples -O--buildsystem=octave dh_installsystemduser -O--buildsystem=octave dh_lintian -O--buildsystem=octave dh_perl -O--buildsystem=octave dh_link -O--buildsystem=octave dh_strip_nondeterminism -O--buildsystem=octave dh_compress -O--buildsystem=octave dh_fixperms -O--buildsystem=octave dh_missing -O--buildsystem=octave dh_dwz -a -O--buildsystem=octave dh_strip -a -O--buildsystem=octave dh_makeshlibs -a -O--buildsystem=octave dh_shlibdeps -a -O--buildsystem=octave dh_octave_substvar -O--buildsystem=octave dh_installdeb -O--buildsystem=octave dh_gencontrol -O--buildsystem=octave dpkg-gencontrol: warning: package octave-stk: substitution variable ${octave:Upstream-Description} unused, but is defined dh_md5sums -O--buildsystem=octave dh_builddeb -O--buildsystem=octave dpkg-deb: building package 'octave-stk' in '../octave-stk_2.8.1-3_amd64.deb'. dpkg-deb: building package 'octave-stk-dbgsym' in '../octave-stk-dbgsym_2.8.1-3_amd64.deb'. dpkg-genbuildinfo --build=binary -O../octave-stk_2.8.1-3_amd64.buildinfo dpkg-genchanges --build=binary -O../octave-stk_2.8.1-3_amd64.changes dpkg-genchanges: info: binary-only upload (no source code included) dpkg-source --after-build . dpkg-buildpackage: info: binary-only upload (no source included) dpkg-genchanges: info: not including original source code in upload I: copying local configuration 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/270968 and its subdirectories I: Current time: Mon Nov 25 13:09:15 -12 2024 I: pbuilder-time-stamp: 1732583355 Tue Nov 26 01:09:15 UTC 2024 I: Signing ./b1/octave-stk_2.8.1-3_amd64.buildinfo as octave-stk_2.8.1-3_amd64.buildinfo.asc Tue Nov 26 01:09:15 UTC 2024 I: Signed ./b1/octave-stk_2.8.1-3_amd64.buildinfo as ./b1/octave-stk_2.8.1-3_amd64.buildinfo.asc Tue Nov 26 01:09:15 UTC 2024 - build #1 for octave-stk/trixie/amd64 on infom01-amd64 done. Starting cleanup. All cleanup done. Tue Nov 26 01:09:15 UTC 2024 - reproducible_build.sh stopped running as /tmp/jenkins-script-xdNF4cK7, removing. /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7: total 16 drwxr-xr-x 2 jenkins jenkins 4096 Nov 26 01:09 b1 drwxr-xr-x 2 jenkins jenkins 4096 Nov 26 01:04 b2 -rw-r--r-- 1 jenkins jenkins 2149 Jun 19 17:42 octave-stk_2.8.1-3.dsc -rw------- 1 jenkins jenkins 3268 Nov 26 01:04 rbuildlog.2dXzrrx /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/b1: total 1052 -rw-r--r-- 1 jenkins jenkins 591755 Nov 26 01:09 build.log -rw-r--r-- 1 jenkins jenkins 75800 Nov 26 01:09 octave-stk-dbgsym_2.8.1-3_amd64.deb -rw-r--r-- 1 jenkins jenkins 4988 Nov 26 01:09 octave-stk_2.8.1-3.debian.tar.xz -rw-r--r-- 1 jenkins jenkins 2149 Nov 26 01:09 octave-stk_2.8.1-3.dsc -rw-r--r-- 1 jenkins jenkins 21607 Nov 26 01:09 octave-stk_2.8.1-3_amd64.buildinfo -rw-r--r-- 1 jenkins jenkins 22489 Nov 26 01:09 octave-stk_2.8.1-3_amd64.buildinfo.asc -rw-r--r-- 1 jenkins jenkins 1450 Nov 26 01:09 octave-stk_2.8.1-3_amd64.changes -rw-r--r-- 1 jenkins jenkins 322508 Nov 26 01:09 octave-stk_2.8.1-3_amd64.deb -rw-r--r-- 1 jenkins jenkins 1315 Nov 26 01:09 octave-stk_2.8.1-3_source.changes /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/b2: total 0 Tue Nov 26 01:09:16 UTC 2024 I: Deleting $TMPDIR on infom01-amd64.debian.net. I: pbuilder: network access will be disabled during build I: Current time: Mon Nov 25 13:04:01 -12 2024 I: pbuilder-time-stamp: 1732583041 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/trixie-reproducible-base.tgz] I: copying local configuration W: --override-config is not set; not updating apt.conf Read the manpage for details. I: mounting /proc filesystem I: mounting /sys filesystem I: creating /{dev,run}/shm I: mounting /dev/pts filesystem I: redirecting /dev/ptmx to /dev/pts/ptmx I: policy-rc.d already exists I: Copying source file I: copying [octave-stk_2.8.1-3.dsc] I: copying [./octave-stk_2.8.1.orig.tar.gz] I: copying [./octave-stk_2.8.1-3.debian.tar.xz] I: Extracting source gpgv: Signature made Wed Jun 19 17:27:05 2024 gpgv: using RSA key 3F464391498FE874BDB5D98F2124AA1983785C90 gpgv: issuer "rafael@debian.org" gpgv: Can't check signature: No public key dpkg-source: warning: cannot verify inline signature for ./octave-stk_2.8.1-3.dsc: no acceptable signature found dpkg-source: info: extracting octave-stk in octave-stk-2.8.1 dpkg-source: info: unpacking octave-stk_2.8.1.orig.tar.gz dpkg-source: info: unpacking octave-stk_2.8.1-3.debian.tar.xz dpkg-source: info: using patch list from debian/patches/series dpkg-source: info: applying 0003-Mark-expected-failure.patch I: Not using root during the build. I: Installing the build-deps I: user script /srv/workspace/pbuilder/270968/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='amd64' DEBIAN_FRONTEND='noninteractive' DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all parallel=12 ' DISTRIBUTION='trixie' HOME='/root' HOST_ARCH='amd64' IFS=' ' INVOCATION_ID='50da294a52b84e02b2677a0423e924a3' LANG='C' LANGUAGE='en_US:en' LC_ALL='C' 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='270968' 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.dFJg6OC7/pbuilderrc_z35Q --distribution trixie --hookdir /etc/pbuilder/first-build-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/trixie-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/b1 --logfile b1/build.log octave-stk_2.8.1-3.dsc' SUDO_GID='109' SUDO_UID='104' SUDO_USER='jenkins' TERM='unknown' TZ='/usr/share/zoneinfo/Etc/GMT+12' USER='root' _='/usr/bin/systemd-run' I: uname -a Linux infom01-amd64 6.1.0-28-cloud-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.1.119-1 (2024-11-22) x86_64 GNU/Linux I: ls -l /bin lrwxrwxrwx 1 root root 7 Aug 4 21:30 /bin -> usr/bin I: user script /srv/workspace/pbuilder/270968/tmp/hooks/D02_print_environment finished -> Attempting to satisfy build-dependencies -> Creating pbuilder-satisfydepends-dummy package Package: pbuilder-satisfydepends-dummy Version: 0.invalid.0 Architecture: amd64 Maintainer: Debian Pbuilder Team Description: Dummy package to satisfy dependencies with aptitude - created by pbuilder This package was created automatically by pbuilder to satisfy the build-dependencies of the package being currently built. Depends: debhelper-compat (= 13), dh-sequence-octave dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'. Selecting previously unselected package pbuilder-satisfydepends-dummy. (Reading database ... 19969 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-octave; however: Package dh-sequence-octave 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: aglfn{a} appstream{a} autoconf{a} automake{a} autopoint{a} autotools-dev{a} bsdextrautils{a} ca-certificates{a} cme{a} comerr-dev{a} debhelper{a} dh-autoreconf{a} dh-octave{a} dh-octave-autopkgtest{a} dh-strip-nondeterminism{a} diffstat{a} dwz{a} file{a} fontconfig{a} fontconfig-config{a} fonts-dejavu-core{a} fonts-dejavu-mono{a} fonts-freefont-otf{a} gettext{a} gettext-base{a} gfortran{a} gfortran-14{a} gfortran-14-x86-64-linux-gnu{a} gfortran-x86-64-linux-gnu{a} gnuplot-data{a} gnuplot-nox{a} gpg{a} gpgconf{a} groff-base{a} hdf5-helpers{a} intltool-debian{a} iso-codes{a} krb5-multidev{a} libabsl20230802{a} libaec-dev{a} libaec0{a} libalgorithm-c3-perl{a} libaliased-perl{a} libamd3{a} libaom3{a} libapp-cmd-perl{a} libappstream5{a} libapt-pkg-perl{a} libarchive-zip-perl{a} libarpack2t64{a} libarray-intspan-perl{a} libasound2-data{a} libasound2t64{a} libassuan9{a} libavahi-client3{a} libavahi-common-data{a} libavahi-common3{a} libavif16{a} libb-hooks-endofscope-perl{a} libb-hooks-op-check-perl{a} libb2-1{a} libberkeleydb-perl{a} libblas-dev{a} libblas3{a} libboolean-perl{a} libbrotli-dev{a} libbrotli1{a} libcairo2{a} libcamd3{a} libcapture-tiny-perl{a} libcarp-assert-more-perl{a} libccolamd3{a} libcgi-pm-perl{a} libcholmod5{a} libclass-c3-perl{a} libclass-data-inheritable-perl{a} libclass-inspector-perl{a} libclass-load-perl{a} libclass-method-modifiers-perl{a} libclass-xsaccessor-perl{a} libclone-choose-perl{a} libclone-perl{a} libcolamd3{a} libcom-err2{a} libconfig-model-backend-yaml-perl{a} libconfig-model-dpkg-perl{a} libconfig-model-perl{a} libconfig-tiny-perl{a} libconst-fast-perl{a} libconvert-binhex-perl{a} libcpanel-json-xs-perl{a} libcups2t64{a} libcurl3t64-gnutls{a} libcurl4-openssl-dev{a} libcurl4t64{a} libcxsparse4{a} libdata-dpath-perl{a} libdata-messagepack-perl{a} libdata-optlist-perl{a} libdata-section-perl{a} libdata-validate-domain-perl{a} libdata-validate-ip-perl{a} libdata-validate-uri-perl{a} libdatrie1{a} libdav1d7{a} libdbus-1-3{a} libde265-0{a} libdebhelper-perl{a} libdeflate0{a} libdevel-callchecker-perl{a} libdevel-size-perl{a} libdevel-stacktrace-perl{a} libdouble-conversion3{a} libdrm-amdgpu1{a} libdrm-common{a} libdrm-intel1{a} libdrm-radeon1{a} libdrm2{a} libduktape207{a} libdynaloader-functions-perl{a} libedit2{a} libegl-mesa0{a} libegl1{a} libelf1t64{a} libemail-address-xs-perl{a} libencode-locale-perl{a} liberror-perl{a} libevdev2{a} libevent-2.1-7t64{a} libexception-class-perl{a} libexpat1{a} libexporter-lite-perl{a} libexporter-tiny-perl{a} libfeature-compat-class-perl{a} libfeature-compat-try-perl{a} libfftw3-bin{a} libfftw3-dev{a} libfftw3-double3{a} libfftw3-long3{a} libfftw3-quad3{a} libfftw3-single3{a} libfile-basedir-perl{a} libfile-find-rule-perl{a} libfile-homedir-perl{a} libfile-listing-perl{a} libfile-sharedir-perl{a} libfile-stripnondeterminism-perl{a} libfile-which-perl{a} libflac12t64{a} libfltk-gl1.3t64{a} libfltk1.3t64{a} libfont-ttf-perl{a} libfontconfig1{a} libfreetype6{a} libfribidi0{a} libgav1-1{a} libgbm1{a} libgd3{a} libgetopt-long-descriptive-perl{a} libgfortran-14-dev{a} libgfortran5{a} libgif7{a} libgl-dev{a} libgl1{a} libgl1-mesa-dri{a} libgl2ps1.4{a} libglapi-mesa{a} libglib2.0-0t64{a} libglpk40{a} libglu1-mesa{a} libglvnd0{a} libglx-dev{a} libglx-mesa0{a} libglx0{a} libgmp-dev{a} libgmpxx4ldbl{a} libgnutls-dane0t64{a} libgnutls-openssl27t64{a} libgnutls28-dev{a} libgraphicsmagick++-q16-12t64{a} libgraphicsmagick-q16-3t64{a} libgraphite2-3{a} libgssapi-krb5-2{a} libgssrpc4t64{a} libgudev-1.0-0{a} libharfbuzz0b{a} libhash-merge-perl{a} libhdf5-103-1t64{a} libhdf5-cpp-103-1t64{a} libhdf5-dev{a} libhdf5-fortran-102t64{a} libhdf5-hl-100t64{a} libhdf5-hl-cpp-100t64{a} libhdf5-hl-fortran-100t64{a} libheif-plugin-dav1d{a} libheif-plugin-libde265{a} libheif1{a} libhtml-form-perl{a} libhtml-html5-entities-perl{a} libhtml-parser-perl{a} libhtml-tagset-perl{a} libhtml-tokeparser-simple-perl{a} libhtml-tree-perl{a} libhttp-cookies-perl{a} libhttp-date-perl{a} libhttp-message-perl{a} libhttp-negotiate-perl{a} libhwy1t64{a} libice6{a} libicu72{a} libidn2-dev{a} libimagequant0{a} libimath-3-1-29t64{a} libimport-into-perl{a} libindirect-perl{a} libinput-bin{a} libinput10{a} libio-html-perl{a} libio-interactive-perl{a} libio-socket-ssl-perl{a} libio-string-perl{a} libio-stringy-perl{a} libio-tiecombine-perl{a} libipc-run3-perl{a} libipc-system-simple-perl{a} libiterator-perl{a} libiterator-util-perl{a} libjack-jackd2-0{a} libjbig0{a} libjpeg-dev{a} libjpeg62-turbo{a} libjpeg62-turbo-dev{a} libjson-maybexs-perl{a} libjson-perl{a} libjxl0.9{a} libk5crypto3{a} libkadm5clnt-mit12{a} libkadm5srv-mit12{a} libkdb5-10t64{a} libkeyutils1{a} libkrb5-3{a} libkrb5-dev{a} libkrb5support0{a} liblapack-dev{a} liblapack3{a} liblcms2-2{a} libldap-2.5-0{a} libldap-dev{a} liblerc4{a} liblist-compare-perl{a} liblist-moreutils-perl{a} liblist-moreutils-xs-perl{a} liblist-someutils-perl{a} liblist-utilsby-perl{a} libllvm19{a} liblog-any-adapter-screen-perl{a} liblog-any-perl{a} liblog-log4perl-perl{a} libltdl7{a} liblua5.4-0{a} liblwp-mediatypes-perl{a} liblwp-protocol-https-perl{a} liblz1{a} liblzo2-2{a} libmagic-mgc{a} libmagic1t64{a} libmailtools-perl{a} libmarkdown2{a} libmd4c0{a} libmime-tools-perl{a} libmldbm-perl{a} libmodule-implementation-perl{a} libmodule-pluggable-perl{a} libmodule-runtime-perl{a} libmoo-perl{a} libmoox-aliases-perl{a} libmouse-perl{a} libmousex-nativetraits-perl{a} libmousex-strictconstructor-perl{a} libmp3lame0{a} libmpg123-0t64{a} libmro-compat-perl{a} libmtdev1t64{a} libnamespace-clean-perl{a} libncurses-dev{a} libncurses6{a} libnet-domain-tld-perl{a} libnet-http-perl{a} libnet-ipv6addr-perl{a} libnet-netmask-perl{a} libnet-smtp-ssl-perl{a} libnet-ssleay-perl{a} libnetaddr-ip-perl{a} libnghttp2-14{a} libnghttp2-dev{a} libnghttp3-9{a} libngtcp2-16{a} libngtcp2-crypto-gnutls8{a} libnumber-compare-perl{a} libobject-pad-perl{a} libogg0{a} libopenexr-3-1-30{a} libopengl0{a} libopus0{a} libp11-kit-dev{a} libpackage-stash-perl{a} libpango-1.0-0{a} libpangocairo-1.0-0{a} libpangoft2-1.0-0{a} libparams-classify-perl{a} libparams-util-perl{a} libparams-validate-perl{a} libparse-debcontrol-perl{a} libparse-recdescent-perl{a} libpath-iterator-rule-perl{a} libpath-tiny-perl{a} libpciaccess0{a} libpcre2-16-0{a} libperlio-gzip-perl{a} libperlio-utf8-strict-perl{a} libpipeline1{a} libpixman-1-0{a} libpkgconf3{a} libpng16-16t64{a} libpod-constants-perl{a} libpod-parser-perl{a} libpod-pom-perl{a} libportaudio2{a} libproc-processtable-perl{a} libproxy1v5{a} libpsl-dev{a} libpsl5t64{a} libqhull-r8.0{a} libqrupdate1{a} libqscintilla2-qt6-15{a} libqscintilla2-qt6-l10n{a} libqt6core5compat6{a} libqt6core6t64{a} libqt6dbus6{a} libqt6gui6{a} libqt6help6{a} libqt6network6{a} libqt6opengl6{a} libqt6openglwidgets6{a} libqt6printsupport6{a} libqt6sql6{a} libqt6widgets6{a} libqt6xml6{a} libraqm0{a} librav1e0.7{a} libreadline-dev{a} libreadline8t64{a} libregexp-common-perl{a} libregexp-pattern-license-perl{a} libregexp-pattern-perl{a} libregexp-wildcards-perl{a} librole-tiny-perl{a} librtmp-dev{a} librtmp1{a} libsamplerate0{a} libsasl2-2{a} libsasl2-modules-db{a} libsensors-config{a} libsensors5{a} libsereal-decoder-perl{a} libsereal-encoder-perl{a} libset-intspan-perl{a} libsharpyuv0{a} libsm6{a} libsndfile1{a} libsoftware-copyright-perl{a} libsoftware-license-perl{a} libsoftware-licensemoreutils-perl{a} libsort-versions-perl{a} libspqr4{a} libssh2-1-dev{a} libssh2-1t64{a} libssl-dev{a} libstemmer0d{a} libstrictures-perl{a} libstring-copyright-perl{a} libstring-escape-perl{a} libstring-license-perl{a} libstring-rewriteprefix-perl{a} libsub-exporter-perl{a} libsub-exporter-progressive-perl{a} libsub-identify-perl{a} libsub-install-perl{a} libsub-name-perl{a} libsub-quote-perl{a} libsub-uplevel-perl{a} libsuitesparseconfig7{a} libsvtav1enc2{a} libsyntax-keyword-try-perl{a} libsz2{a} libtasn1-6-dev{a} libterm-readkey-perl{a} libtest-exception-perl{a} libtext-autoformat-perl{a} libtext-glob-perl{a} libtext-levenshtein-damerau-perl{a} libtext-levenshteinxs-perl{a} libtext-markdown-discount-perl{a} libtext-reform-perl{a} libtext-template-perl{a} libtext-unidecode-perl{a} libtext-xslate-perl{a} libthai-data{a} libthai0{a} libtiff6{a} libtime-duration-perl{a} libtime-moment-perl{a} libtimedate-perl{a} libtoml-tiny-perl{a} libtool{a} libtry-tiny-perl{a} libts0t64{a} libuchardet0{a} libumfpack6{a} libunbound8{a} libunicode-utf8-perl{a} liburi-perl{a} libvariable-magic-perl{a} libvorbis0a{a} libvorbisenc2{a} libvulkan1{a} libwacom-common{a} libwacom9{a} libwayland-client0{a} libwayland-server0{a} libwebp7{a} libwebpmux3{a} libwmflite-0.2-7{a} libwww-mechanize-perl{a} libwww-perl{a} libwww-robotrules-perl{a} libx11-6{a} libx11-data{a} libx11-dev{a} libx11-xcb1{a} libxau-dev{a} libxau6{a} libxcb-cursor0{a} libxcb-dri2-0{a} libxcb-dri3-0{a} libxcb-glx0{a} libxcb-icccm4{a} libxcb-image0{a} libxcb-keysyms1{a} libxcb-present0{a} libxcb-randr0{a} libxcb-render-util0{a} libxcb-render0{a} libxcb-shape0{a} libxcb-shm0{a} libxcb-sync1{a} libxcb-util1{a} libxcb-xfixes0{a} libxcb-xinput0{a} libxcb-xkb1{a} libxcb1{a} libxcb1-dev{a} libxcursor1{a} libxdmcp-dev{a} libxdmcp6{a} libxext6{a} libxfixes3{a} libxft2{a} libxinerama1{a} libxkbcommon-x11-0{a} libxkbcommon0{a} libxml-libxml-perl{a} libxml-namespacesupport-perl{a} libxml-sax-base-perl{a} libxml-sax-perl{a} libxml2{a} libxmlb2{a} libxpm4{a} libxrender1{a} libxs-parse-keyword-perl{a} libxs-parse-sublike-perl{a} libxshmfence1{a} libxxf86vm1{a} libyaml-0-2{a} libyaml-libyaml-perl{a} libyaml-pp-perl{a} libyaml-tiny-perl{a} libyuv0{a} libz3-4{a} libzstd-dev{a} licensecheck{a} lintian{a} lzop{a} m4{a} man-db{a} mesa-libgallium{a} netbase{a} nettle-dev{a} octave{a} octave-common{a} octave-dev{a} openssl{a} patchutils{a} perl-openssl-defaults{a} pkgconf{a} pkgconf-bin{a} plzip{a} po-debconf{a} readline-common{a} sensible-utils{a} shared-mime-info{a} t1utils{a} tex-common{a} texinfo{a} texinfo-lib{a} ucf{a} unzip{a} x11-common{a} x11proto-dev{a} xkb-data{a} xorg-sgml-doctools{a} xtrans-dev{a} zlib1g-dev{a} The following packages are RECOMMENDED but will NOT be installed: alsa-topology-conf alsa-ucm-conf bash-completion curl dbus default-jre-headless epstool fonts-liberation fonts-urw-base35 ghostscript gnupg groff krb5-locales libarchive-cpio-perl libauthen-sasl-perl libblis4 libcgi-fast-perl libclass-c3-xs-perl libconfig-model-approx-perl libconfig-model-lcdproc-perl libconfig-model-openssh-perl libconfig-model-systemd-perl libconfig-model-tkui-perl libdata-dump-perl libfreezethaw-perl libfuse-perl libglib2.0-data libgpm2 libheif-plugin-aomenc libheif-plugin-x265 libhtml-format-perl libhttp-daemon-perl libio-compress-brotli-perl libipc-shareable-perl libjson-xs-perl libldap-common liblist-someutils-xs-perl liblog-dispatch-perl libltdl-dev libmail-sendmail-perl libmath-base85-perl libopenblas0 libpackage-stash-xs-perl libqt6sql6-ibase libqt6sql6-mysql libqt6sql6-odbc libqt6sql6-psql libqt6sql6-sqlite libre-engine-re2-perl libsasl2-modules libsocket6-perl libtasn1-doc libtie-ixhash-perl libtypes-serialiser-perl libxml-sax-expat-perl libxstring-perl lynx mesa-vulkan-drivers octave-doc pstoedit publicsuffix qt6-gtk-platformtheme qt6-qpa-plugins qt6-translations-l10n qt6-wayland wget xdg-user-dirs 0 packages upgraded, 523 newly installed, 0 to remove and 0 not upgraded. Need to get 201 MB of archives. After unpacking 775 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian trixie/main amd64 netbase all 6.4 [12.8 kB] Get: 2 http://deb.debian.org/debian trixie/main amd64 readline-common all 8.2-5 [69.3 kB] Get: 3 http://deb.debian.org/debian trixie/main amd64 sensible-utils all 0.0.24 [24.8 kB] Get: 4 http://deb.debian.org/debian trixie/main amd64 openssl amd64 3.3.2-2 [1382 kB] Get: 5 http://deb.debian.org/debian trixie/main amd64 ca-certificates all 20240203 [158 kB] Get: 6 http://deb.debian.org/debian trixie/main amd64 libmagic-mgc amd64 1:5.45-3+b1 [314 kB] Get: 7 http://deb.debian.org/debian trixie/main amd64 libmagic1t64 amd64 1:5.45-3+b1 [108 kB] Get: 8 http://deb.debian.org/debian trixie/main amd64 file amd64 1:5.45-3+b1 [43.3 kB] Get: 9 http://deb.debian.org/debian trixie/main amd64 gettext-base amd64 0.22.5-2 [200 kB] Get: 10 http://deb.debian.org/debian trixie/main amd64 libuchardet0 amd64 0.0.8-1+b2 [68.9 kB] Get: 11 http://deb.debian.org/debian trixie/main amd64 groff-base amd64 1.23.0-5 [1181 kB] Get: 12 http://deb.debian.org/debian trixie/main amd64 bsdextrautils amd64 2.40.2-11 [91.5 kB] Get: 13 http://deb.debian.org/debian trixie/main amd64 libpipeline1 amd64 1.5.8-1 [42.0 kB] Get: 14 http://deb.debian.org/debian trixie/main amd64 man-db amd64 2.13.0-1 [1420 kB] Get: 15 http://deb.debian.org/debian trixie/main amd64 ucf all 3.0043+nmu1 [55.2 kB] Get: 16 http://deb.debian.org/debian trixie/main amd64 aglfn all 1.7+git20191031.4036a9c-2 [30.5 kB] Get: 17 http://deb.debian.org/debian trixie/main amd64 libglib2.0-0t64 amd64 2.82.2-2 [1501 kB] Get: 18 http://deb.debian.org/debian trixie/main amd64 libicu72 amd64 72.1-5+b1 [9423 kB] Get: 19 http://deb.debian.org/debian trixie/main amd64 libxml2 amd64 2.12.7+dfsg+really2.9.14-0.2+b1 [699 kB] Get: 20 http://deb.debian.org/debian trixie/main amd64 shared-mime-info amd64 2.4-5+b1 [759 kB] Get: 21 http://deb.debian.org/debian trixie/main amd64 libbrotli1 amd64 1.1.0-2+b6 [302 kB] Get: 22 http://deb.debian.org/debian trixie/main amd64 libkrb5support0 amd64 1.21.3-3 [32.5 kB] Get: 23 http://deb.debian.org/debian trixie/main amd64 libcom-err2 amd64 1.47.1-1+b1 [23.2 kB] Get: 24 http://deb.debian.org/debian trixie/main amd64 libk5crypto3 amd64 1.21.3-3 [79.9 kB] Get: 25 http://deb.debian.org/debian trixie/main amd64 libkeyutils1 amd64 1.6.3-4 [9092 B] Get: 26 http://deb.debian.org/debian trixie/main amd64 libkrb5-3 amd64 1.21.3-3 [324 kB] Get: 27 http://deb.debian.org/debian trixie/main amd64 libgssapi-krb5-2 amd64 1.21.3-3 [136 kB] Get: 28 http://deb.debian.org/debian trixie/main amd64 libsasl2-modules-db amd64 2.1.28+dfsg1-8 [19.6 kB] Get: 29 http://deb.debian.org/debian trixie/main amd64 libsasl2-2 amd64 2.1.28+dfsg1-8 [57.3 kB] Get: 30 http://deb.debian.org/debian trixie/main amd64 libldap-2.5-0 amd64 2.5.18+dfsg-3+b1 [188 kB] Get: 31 http://deb.debian.org/debian trixie/main amd64 libnghttp2-14 amd64 1.64.0-1 [75.5 kB] Get: 32 http://deb.debian.org/debian trixie/main amd64 libnghttp3-9 amd64 1.4.0-1+b1 [63.6 kB] Get: 33 http://deb.debian.org/debian trixie/main amd64 libngtcp2-16 amd64 1.6.0-1 [122 kB] Get: 34 http://deb.debian.org/debian trixie/main amd64 libngtcp2-crypto-gnutls8 amd64 1.6.0-1 [19.6 kB] Get: 35 http://deb.debian.org/debian trixie/main amd64 libpsl5t64 amd64 0.21.2-1.1+b1 [57.2 kB] Get: 36 http://deb.debian.org/debian trixie/main amd64 librtmp1 amd64 2.4+20151223.gitfa8646d.1-2+b5 [58.8 kB] Get: 37 http://deb.debian.org/debian trixie/main amd64 libssh2-1t64 amd64 1.11.1-1 [245 kB] Get: 38 http://deb.debian.org/debian trixie/main amd64 libcurl3t64-gnutls amd64 8.11.0-1 [359 kB] Get: 39 http://deb.debian.org/debian trixie/main amd64 libstemmer0d amd64 2.2.0-4+b2 [119 kB] Get: 40 http://deb.debian.org/debian trixie/main amd64 libxmlb2 amd64 0.3.21-1 [63.0 kB] Get: 41 http://deb.debian.org/debian trixie/main amd64 libyaml-0-2 amd64 0.2.5-1+b2 [52.7 kB] Get: 42 http://deb.debian.org/debian trixie/main amd64 libappstream5 amd64 1.0.3-1+b1 [224 kB] Get: 43 http://deb.debian.org/debian trixie/main amd64 appstream amd64 1.0.3-1+b1 [469 kB] Get: 44 http://deb.debian.org/debian trixie/main amd64 m4 amd64 1.4.19-4 [287 kB] Get: 45 http://deb.debian.org/debian trixie/main amd64 autoconf all 2.72-3 [493 kB] Get: 46 http://deb.debian.org/debian trixie/main amd64 autotools-dev all 20220109.1 [51.6 kB] Get: 47 http://deb.debian.org/debian trixie/main amd64 automake all 1:1.16.5-1.3 [823 kB] Get: 48 http://deb.debian.org/debian trixie/main amd64 autopoint all 0.22.5-2 [723 kB] Get: 49 http://deb.debian.org/debian trixie/main amd64 libcapture-tiny-perl all 0.48-2 [24.6 kB] Get: 50 http://deb.debian.org/debian trixie/main amd64 libparams-util-perl amd64 1.102-3+b1 [24.4 kB] Get: 51 http://deb.debian.org/debian trixie/main amd64 libsub-install-perl all 0.929-1 [10.5 kB] Get: 52 http://deb.debian.org/debian trixie/main amd64 libdata-optlist-perl all 0.114-1 [10.6 kB] Get: 53 http://deb.debian.org/debian trixie/main amd64 libb-hooks-op-check-perl amd64 0.22-3+b2 [10.6 kB] Get: 54 http://deb.debian.org/debian trixie/main amd64 libdynaloader-functions-perl all 0.004-1 [12.1 kB] Get: 55 http://deb.debian.org/debian trixie/main amd64 libdevel-callchecker-perl amd64 0.009-1+b1 [16.2 kB] Get: 56 http://deb.debian.org/debian trixie/main amd64 libparams-classify-perl amd64 0.015-2+b4 [22.5 kB] Get: 57 http://deb.debian.org/debian trixie/main amd64 libmodule-runtime-perl all 0.016-2 [19.6 kB] Get: 58 http://deb.debian.org/debian trixie/main amd64 libtry-tiny-perl all 0.32-1 [22.9 kB] Get: 59 http://deb.debian.org/debian trixie/main amd64 libmodule-implementation-perl all 0.09-2 [12.6 kB] Get: 60 http://deb.debian.org/debian trixie/main amd64 libpackage-stash-perl all 0.40-1 [22.0 kB] Get: 61 http://deb.debian.org/debian trixie/main amd64 libclass-load-perl all 0.25-2 [15.3 kB] Get: 62 http://deb.debian.org/debian trixie/main amd64 libio-stringy-perl all 2.113-2 [48.3 kB] Get: 63 http://deb.debian.org/debian trixie/main amd64 libparams-validate-perl amd64 1.31-2+b3 [63.4 kB] Get: 64 http://deb.debian.org/debian trixie/main amd64 libsub-exporter-perl all 0.990-1 [50.6 kB] Get: 65 http://deb.debian.org/debian trixie/main amd64 libgetopt-long-descriptive-perl all 0.115-1 [27.6 kB] Get: 66 http://deb.debian.org/debian trixie/main amd64 libio-tiecombine-perl all 1.005-3 [10.8 kB] Get: 67 http://deb.debian.org/debian trixie/main amd64 libmodule-pluggable-perl all 5.2-5 [23.0 kB] Get: 68 http://deb.debian.org/debian trixie/main amd64 libstring-rewriteprefix-perl all 0.009-1 [7140 B] Get: 69 http://deb.debian.org/debian trixie/main amd64 libapp-cmd-perl all 0.336-1 [65.8 kB] Get: 70 http://deb.debian.org/debian trixie/main amd64 libboolean-perl all 0.46-3 [9924 B] Get: 71 http://deb.debian.org/debian trixie/main amd64 libsub-uplevel-perl all 0.2800-3 [14.0 kB] Get: 72 http://deb.debian.org/debian trixie/main amd64 libtest-exception-perl all 0.43-3 [16.9 kB] Get: 73 http://deb.debian.org/debian trixie/main amd64 libcarp-assert-more-perl all 2.5.0-1 [20.5 kB] Get: 74 http://deb.debian.org/debian trixie/main amd64 libfile-which-perl all 1.27-2 [15.1 kB] Get: 75 http://deb.debian.org/debian trixie/main amd64 libfile-homedir-perl all 1.006-2 [42.4 kB] Get: 76 http://deb.debian.org/debian trixie/main amd64 libclone-choose-perl all 0.010-2 [8676 B] Get: 77 http://deb.debian.org/debian trixie/main amd64 libhash-merge-perl all 0.302-1 [14.7 kB] Get: 78 http://deb.debian.org/debian trixie/main amd64 libjson-perl all 4.10000-1 [87.5 kB] Get: 79 http://deb.debian.org/debian trixie/main amd64 libexporter-tiny-perl all 1.006002-1 [38.7 kB] Get: 80 http://deb.debian.org/debian trixie/main amd64 liblist-moreutils-xs-perl amd64 0.430-4+b2 [42.1 kB] Get: 81 http://deb.debian.org/debian trixie/main amd64 liblist-moreutils-perl all 0.430-2 [46.9 kB] Get: 82 http://deb.debian.org/debian trixie/main amd64 liblog-log4perl-perl all 1.57-1 [367 kB] Get: 83 http://deb.debian.org/debian trixie/main amd64 libmouse-perl amd64 2.5.11-1+b1 [144 kB] Get: 84 http://deb.debian.org/debian trixie/main amd64 libmousex-nativetraits-perl all 1.09-3 [53.5 kB] Get: 85 http://deb.debian.org/debian trixie/main amd64 libmousex-strictconstructor-perl all 0.02-3 [5304 B] Get: 86 http://deb.debian.org/debian trixie/main amd64 libparse-recdescent-perl all 1.967015+dfsg-4 [147 kB] Get: 87 http://deb.debian.org/debian trixie/main amd64 libpath-tiny-perl all 0.146-1 [56.2 kB] Get: 88 http://deb.debian.org/debian trixie/main amd64 libpod-pom-perl all 2.01-4 [65.0 kB] Get: 89 http://deb.debian.org/debian trixie/main amd64 libregexp-common-perl all 2024080801-1 [167 kB] Get: 90 http://deb.debian.org/debian trixie/main amd64 libyaml-tiny-perl all 1.74-1 [30.7 kB] Get: 91 http://deb.debian.org/debian trixie/main amd64 libconfig-model-perl all 2.154-1 [372 kB] Get: 92 http://deb.debian.org/debian trixie/main amd64 libyaml-pp-perl all 0.38.0-1 [109 kB] Get: 93 http://deb.debian.org/debian trixie/main amd64 cme all 1.040-1 [68.8 kB] Get: 94 http://deb.debian.org/debian trixie/main amd64 comerr-dev amd64 2.1-1.47.1-1+b1 [54.8 kB] Get: 95 http://deb.debian.org/debian trixie/main amd64 libdebhelper-perl all 13.20 [89.7 kB] Get: 96 http://deb.debian.org/debian trixie/main amd64 libtool all 2.4.7-8 [517 kB] Get: 97 http://deb.debian.org/debian trixie/main amd64 dh-autoreconf all 20 [17.1 kB] Get: 98 http://deb.debian.org/debian trixie/main amd64 libarchive-zip-perl all 1.68-1 [104 kB] Get: 99 http://deb.debian.org/debian trixie/main amd64 libfile-stripnondeterminism-perl all 1.14.0-1 [19.5 kB] Get: 100 http://deb.debian.org/debian trixie/main amd64 dh-strip-nondeterminism all 1.14.0-1 [8448 B] Get: 101 http://deb.debian.org/debian trixie/main amd64 libelf1t64 amd64 0.192-4 [189 kB] Get: 102 http://deb.debian.org/debian trixie/main amd64 dwz amd64 0.15-1+b1 [110 kB] Get: 103 http://deb.debian.org/debian trixie/main amd64 gettext amd64 0.22.5-2 [1601 kB] Get: 104 http://deb.debian.org/debian trixie/main amd64 intltool-debian all 0.35.0+20060710.6 [22.9 kB] Get: 105 http://deb.debian.org/debian trixie/main amd64 po-debconf all 1.0.21+nmu1 [248 kB] Get: 106 http://deb.debian.org/debian trixie/main amd64 debhelper all 13.20 [915 kB] Get: 107 http://deb.debian.org/debian trixie/main amd64 gnuplot-data all 6.0.0+dfsg1-3 [72.3 kB] Get: 108 http://deb.debian.org/debian trixie/main amd64 libexpat1 amd64 2.6.4-1 [106 kB] Get: 109 http://deb.debian.org/debian trixie/main amd64 libpng16-16t64 amd64 1.6.44-2 [280 kB] Get: 110 http://deb.debian.org/debian trixie/main amd64 libfreetype6 amd64 2.13.3+dfsg-1 [452 kB] Get: 111 http://deb.debian.org/debian trixie/main amd64 fonts-dejavu-mono all 2.37-8 [489 kB] Get: 112 http://deb.debian.org/debian trixie/main amd64 fonts-dejavu-core all 2.37-8 [840 kB] Get: 113 http://deb.debian.org/debian trixie/main amd64 fonts-freefont-otf all 20211204+svn4273-2 [4328 kB] Get: 114 http://deb.debian.org/debian trixie/main amd64 fontconfig-config amd64 2.15.0-1.1+b1 [318 kB] Get: 115 http://deb.debian.org/debian trixie/main amd64 libfontconfig1 amd64 2.15.0-1.1+b1 [391 kB] Get: 116 http://deb.debian.org/debian trixie/main amd64 libpixman-1-0 amd64 0.44.0-3 [248 kB] Get: 117 http://deb.debian.org/debian trixie/main amd64 libxau6 amd64 1:1.0.11-1 [20.4 kB] Get: 118 http://deb.debian.org/debian trixie/main amd64 libxdmcp6 amd64 1:1.1.5-1 [27.8 kB] Get: 119 http://deb.debian.org/debian trixie/main amd64 libxcb1 amd64 1.17.0-2+b1 [144 kB] Get: 120 http://deb.debian.org/debian trixie/main amd64 libx11-data all 2:1.8.10-2 [337 kB] Get: 121 http://deb.debian.org/debian trixie/main amd64 libx11-6 amd64 2:1.8.10-2 [813 kB] Get: 122 http://deb.debian.org/debian trixie/main amd64 libxcb-render0 amd64 1.17.0-2+b1 [115 kB] Get: 123 http://deb.debian.org/debian trixie/main amd64 libxcb-shm0 amd64 1.17.0-2+b1 [105 kB] Get: 124 http://deb.debian.org/debian trixie/main amd64 libxext6 amd64 2:1.3.4-1+b2 [50.5 kB] Get: 125 http://deb.debian.org/debian trixie/main amd64 libxrender1 amd64 1:0.9.10-1.1+b2 [27.8 kB] Get: 126 http://deb.debian.org/debian trixie/main amd64 libcairo2 amd64 1.18.2-2 [535 kB] Get: 127 http://deb.debian.org/debian trixie/main amd64 libedit2 amd64 3.1-20240808-1 [93.9 kB] Get: 128 http://deb.debian.org/debian trixie/main amd64 libaom3 amd64 3.11.0-1 [1879 kB] Get: 129 http://deb.debian.org/debian trixie/main amd64 libdav1d7 amd64 1.5.0-1+b1 [550 kB] Get: 130 http://deb.debian.org/debian trixie/main amd64 libabsl20230802 amd64 20230802.1-4 [464 kB] Get: 131 http://deb.debian.org/debian trixie/main amd64 libgav1-1 amd64 0.19.0-2+b2 [350 kB] Get: 132 http://deb.debian.org/debian trixie/main amd64 librav1e0.7 amd64 0.7.1-7+b2 [936 kB] Get: 133 http://deb.debian.org/debian trixie/main amd64 libsvtav1enc2 amd64 2.2.1+dfsg-2 [2173 kB] Get: 134 http://deb.debian.org/debian trixie/main amd64 libjpeg62-turbo amd64 1:2.1.5-3+b1 [168 kB] Get: 135 http://deb.debian.org/debian trixie/main amd64 libyuv0 amd64 0.0.1897.20241115-1 [172 kB] Get: 136 http://deb.debian.org/debian trixie/main amd64 libavif16 amd64 1.1.1-1 [117 kB] Get: 137 http://deb.debian.org/debian trixie/main amd64 libsharpyuv0 amd64 1.4.0-0.1+b1 [113 kB] Get: 138 http://deb.debian.org/debian trixie/main amd64 libheif-plugin-dav1d amd64 1.19.3-1 [11.2 kB] Get: 139 http://deb.debian.org/debian trixie/main amd64 libde265-0 amd64 1.0.15-1+b2 [189 kB] Get: 140 http://deb.debian.org/debian trixie/main amd64 libheif-plugin-libde265 amd64 1.19.3-1 [15.0 kB] Get: 141 http://deb.debian.org/debian trixie/main amd64 libheif1 amd64 1.19.3-1 [489 kB] Get: 142 http://deb.debian.org/debian trixie/main amd64 libimagequant0 amd64 2.18.0-1+b2 [35.2 kB] Get: 143 http://deb.debian.org/debian trixie/main amd64 libfribidi0 amd64 1.0.15-1 [71.8 kB] Get: 144 http://deb.debian.org/debian trixie/main amd64 libgraphite2-3 amd64 1.3.14-2+b1 [75.4 kB] Get: 145 http://deb.debian.org/debian trixie/main amd64 libharfbuzz0b amd64 10.0.1-1 [477 kB] Get: 146 http://deb.debian.org/debian trixie/main amd64 libraqm0 amd64 0.10.1-1+b2 [14.1 kB] Get: 147 http://deb.debian.org/debian trixie/main amd64 libdeflate0 amd64 1.22-1 [47.3 kB] Get: 148 http://deb.debian.org/debian trixie/main amd64 libjbig0 amd64 2.1-6.1+b2 [32.1 kB] Get: 149 http://deb.debian.org/debian trixie/main amd64 liblerc4 amd64 4.0.0+ds-5 [183 kB] Get: 150 http://deb.debian.org/debian trixie/main amd64 libwebp7 amd64 1.4.0-0.1+b1 [313 kB] Get: 151 http://deb.debian.org/debian trixie/main amd64 libtiff6 amd64 4.5.1+git230720-5 [324 kB] Get: 152 http://deb.debian.org/debian trixie/main amd64 libxpm4 amd64 1:3.5.17-1+b2 [56.3 kB] Get: 153 http://deb.debian.org/debian trixie/main amd64 libgd3 amd64 2.3.3-12+b1 [126 kB] Get: 154 http://deb.debian.org/debian trixie/main amd64 liblua5.4-0 amd64 5.4.6-3+b2 [147 kB] Get: 155 http://deb.debian.org/debian trixie/main amd64 fontconfig amd64 2.15.0-1.1+b1 [463 kB] Get: 156 http://deb.debian.org/debian trixie/main amd64 libthai-data all 0.1.29-2 [168 kB] Get: 157 http://deb.debian.org/debian trixie/main amd64 libdatrie1 amd64 0.2.13-3+b1 [38.1 kB] Get: 158 http://deb.debian.org/debian trixie/main amd64 libthai0 amd64 0.1.29-2+b1 [49.4 kB] Get: 159 http://deb.debian.org/debian trixie/main amd64 libpango-1.0-0 amd64 1.54.0+ds-3 [223 kB] Get: 160 http://deb.debian.org/debian trixie/main amd64 libpangoft2-1.0-0 amd64 1.54.0+ds-3 [54.2 kB] Get: 161 http://deb.debian.org/debian trixie/main amd64 libpangocairo-1.0-0 amd64 1.54.0+ds-3 [35.2 kB] Get: 162 http://deb.debian.org/debian trixie/main amd64 libwebpmux3 amd64 1.4.0-0.1+b1 [123 kB] Get: 163 http://deb.debian.org/debian trixie/main amd64 gnuplot-nox amd64 6.0.0+dfsg1-3 [916 kB] Get: 164 http://deb.debian.org/debian trixie/main amd64 dh-octave-autopkgtest all 1.8.0 [10.0 kB] Get: 165 http://deb.debian.org/debian trixie/main amd64 libapt-pkg-perl amd64 0.1.40+b6 [67.8 kB] Get: 166 http://deb.debian.org/debian trixie/main amd64 libarray-intspan-perl all 2.004-2 [25.7 kB] Get: 167 http://deb.debian.org/debian trixie/main amd64 libyaml-libyaml-perl amd64 0.902.0+ds-2+b1 [35.5 kB] Get: 168 http://deb.debian.org/debian trixie/main amd64 libconfig-model-backend-yaml-perl all 2.134-2 [10.8 kB] Get: 169 http://deb.debian.org/debian trixie/main amd64 libexporter-lite-perl all 0.09-2 [10.7 kB] Get: 170 http://deb.debian.org/debian trixie/main amd64 libencode-locale-perl all 1.05-3 [12.9 kB] Get: 171 http://deb.debian.org/debian trixie/main amd64 libtimedate-perl all 2.3300-2 [39.3 kB] Get: 172 http://deb.debian.org/debian trixie/main amd64 libhttp-date-perl all 6.06-1 [10.7 kB] Get: 173 http://deb.debian.org/debian trixie/main amd64 libfile-listing-perl all 6.16-1 [12.4 kB] Get: 174 http://deb.debian.org/debian trixie/main amd64 libhtml-tagset-perl all 3.24-1 [14.7 kB] Get: 175 http://deb.debian.org/debian trixie/main amd64 liburi-perl all 5.30-1 [105 kB] Get: 176 http://deb.debian.org/debian trixie/main amd64 libhtml-parser-perl amd64 3.83-1+b1 [99.7 kB] Get: 177 http://deb.debian.org/debian trixie/main amd64 libhtml-tree-perl all 5.07-3 [211 kB] Get: 178 http://deb.debian.org/debian trixie/main amd64 libclone-perl amd64 0.47-1+b1 [13.9 kB] Get: 179 http://deb.debian.org/debian trixie/main amd64 libio-html-perl all 1.004-3 [16.2 kB] Get: 180 http://deb.debian.org/debian trixie/main amd64 liblwp-mediatypes-perl all 6.04-2 [20.2 kB] Get: 181 http://deb.debian.org/debian trixie/main amd64 libhttp-message-perl all 7.00-2 [79.8 kB] Get: 182 http://deb.debian.org/debian trixie/main amd64 libhttp-cookies-perl all 6.11-1 [19.1 kB] Get: 183 http://deb.debian.org/debian trixie/main amd64 libhttp-negotiate-perl all 6.01-2 [13.1 kB] Get: 184 http://deb.debian.org/debian trixie/main amd64 perl-openssl-defaults amd64 7+b2 [6724 B] Get: 185 http://deb.debian.org/debian trixie/main amd64 libnet-ssleay-perl amd64 1.94-2 [339 kB] Get: 186 http://deb.debian.org/debian trixie/main amd64 libio-socket-ssl-perl all 2.089-1 [223 kB] Get: 187 http://deb.debian.org/debian trixie/main amd64 libnet-http-perl all 6.23-1 [23.9 kB] Get: 188 http://deb.debian.org/debian trixie/main amd64 liblwp-protocol-https-perl all 6.14-1 [10.8 kB] Get: 189 http://deb.debian.org/debian trixie/main amd64 libwww-robotrules-perl all 6.02-1 [12.9 kB] Get: 190 http://deb.debian.org/debian trixie/main amd64 libwww-perl all 6.77-1 [183 kB] Get: 191 http://deb.debian.org/debian trixie/main amd64 liberror-perl all 0.17029-2 [29.0 kB] Get: 192 http://deb.debian.org/debian trixie/main amd64 libparse-debcontrol-perl all 2.005-6 [21.6 kB] Get: 193 http://deb.debian.org/debian trixie/main amd64 libsoftware-copyright-perl all 0.012-2 [18.0 kB] Get: 194 http://deb.debian.org/debian trixie/main amd64 libalgorithm-c3-perl all 0.11-2 [10.8 kB] Get: 195 http://deb.debian.org/debian trixie/main amd64 libclass-c3-perl all 0.35-2 [21.0 kB] Get: 196 http://deb.debian.org/debian trixie/main amd64 libmro-compat-perl all 0.15-2 [11.8 kB] Get: 197 http://deb.debian.org/debian trixie/main amd64 libdata-section-perl all 0.200008-1 [13.1 kB] Get: 198 http://deb.debian.org/debian trixie/main amd64 libtext-template-perl all 1.61-1 [54.4 kB] Get: 199 http://deb.debian.org/debian trixie/main amd64 libsoftware-license-perl all 0.104006-1 [116 kB] Get: 200 http://deb.debian.org/debian trixie/main amd64 libsoftware-licensemoreutils-perl all 1.009-1 [22.0 kB] Get: 201 http://deb.debian.org/debian trixie/main amd64 libsort-versions-perl all 1.62-3 [8928 B] Get: 202 http://deb.debian.org/debian trixie/main amd64 libtext-reform-perl all 1.20-5 [36.0 kB] Get: 203 http://deb.debian.org/debian trixie/main amd64 libtext-autoformat-perl all 1.750000-2 [35.2 kB] Get: 204 http://deb.debian.org/debian trixie/main amd64 libtext-levenshtein-damerau-perl all 0.41-3 [12.3 kB] Get: 205 http://deb.debian.org/debian trixie/main amd64 libtoml-tiny-perl all 0.18-1 [23.0 kB] Get: 206 http://deb.debian.org/debian trixie/main amd64 libclass-inspector-perl all 1.36-3 [17.5 kB] Get: 207 http://deb.debian.org/debian trixie/main amd64 libfile-sharedir-perl all 1.118-3 [16.0 kB] Get: 208 http://deb.debian.org/debian trixie/main amd64 libindirect-perl amd64 0.39-2+b4 [27.1 kB] Get: 209 http://deb.debian.org/debian trixie/main amd64 libxs-parse-keyword-perl amd64 0.46-1+b1 [64.9 kB] Get: 210 http://deb.debian.org/debian trixie/main amd64 libxs-parse-sublike-perl amd64 0.30-1 [43.4 kB] Get: 211 http://deb.debian.org/debian trixie/main amd64 libobject-pad-perl amd64 0.815-1 [123 kB] Get: 212 http://deb.debian.org/debian trixie/main amd64 libfeature-compat-class-perl all 0.07-1 [11.5 kB] Get: 213 http://deb.debian.org/debian trixie/main amd64 libsyntax-keyword-try-perl amd64 0.30-1+b1 [27.4 kB] Get: 214 http://deb.debian.org/debian trixie/main amd64 libfeature-compat-try-perl all 0.05-1 [10.4 kB] Get: 215 http://deb.debian.org/debian trixie/main amd64 libio-interactive-perl all 1.025-1 [11.4 kB] Get: 216 http://deb.debian.org/debian trixie/main amd64 liblog-any-perl all 1.717-1 [78.9 kB] Get: 217 http://deb.debian.org/debian trixie/main amd64 liblog-any-adapter-screen-perl all 0.141-1 [14.0 kB] Get: 218 http://deb.debian.org/debian trixie/main amd64 libsub-exporter-progressive-perl all 0.001013-3 [7496 B] Get: 219 http://deb.debian.org/debian trixie/main amd64 libvariable-magic-perl amd64 0.64-1+b1 [44.9 kB] Get: 220 http://deb.debian.org/debian trixie/main amd64 libb-hooks-endofscope-perl all 0.28-1 [17.5 kB] Get: 221 http://deb.debian.org/debian trixie/main amd64 libsub-identify-perl amd64 0.14-3+b3 [11.3 kB] Get: 222 http://deb.debian.org/debian trixie/main amd64 libsub-name-perl amd64 0.27-1+b3 [12.5 kB] Get: 223 http://deb.debian.org/debian trixie/main amd64 libnamespace-clean-perl all 0.27-2 [17.8 kB] Get: 224 http://deb.debian.org/debian trixie/main amd64 libnumber-compare-perl all 0.03-3 [6332 B] Get: 225 http://deb.debian.org/debian trixie/main amd64 libtext-glob-perl all 0.11-3 [7676 B] Get: 226 http://deb.debian.org/debian trixie/main amd64 libpath-iterator-rule-perl all 1.015-2 [41.7 kB] Get: 227 http://deb.debian.org/debian trixie/main amd64 libpod-parser-perl all 1.67-1 [94.1 kB] Get: 228 http://deb.debian.org/debian trixie/main amd64 libpod-constants-perl all 0.19-2 [17.3 kB] Get: 229 http://deb.debian.org/debian trixie/main amd64 libset-intspan-perl all 1.19-3 [25.3 kB] Get: 230 http://deb.debian.org/debian trixie/main amd64 libstring-copyright-perl all 0.003014-1 [23.4 kB] Get: 231 http://deb.debian.org/debian trixie/main amd64 libstring-escape-perl all 2010.002-3 [18.7 kB] Get: 232 http://deb.debian.org/debian trixie/main amd64 libregexp-pattern-license-perl all 3.11.2-1 [94.6 kB] Get: 233 http://deb.debian.org/debian trixie/main amd64 libregexp-pattern-perl all 0.2.14-2 [18.7 kB] Get: 234 http://deb.debian.org/debian trixie/main amd64 libstring-license-perl all 0.0.11-1 [34.7 kB] Get: 235 http://deb.debian.org/debian trixie/main amd64 licensecheck all 3.3.9-1 [50.1 kB] Get: 236 http://deb.debian.org/debian trixie/main amd64 diffstat amd64 1.67-1 [35.5 kB] Get: 237 http://deb.debian.org/debian trixie/main amd64 libassuan9 amd64 3.0.1-2 [60.6 kB] Get: 238 http://deb.debian.org/debian trixie/main amd64 libreadline8t64 amd64 8.2-5 [169 kB] Get: 239 http://deb.debian.org/debian trixie/main amd64 gpgconf amd64 2.2.45-2 [120 kB] Get: 240 http://deb.debian.org/debian trixie/main amd64 gpg amd64 2.2.45-2 [531 kB] Get: 241 http://deb.debian.org/debian trixie/main amd64 iso-codes all 4.17.0-1 [3055 kB] Get: 242 http://deb.debian.org/debian trixie/main amd64 libberkeleydb-perl amd64 0.66-1 [121 kB] Get: 243 http://deb.debian.org/debian trixie/main amd64 libclass-xsaccessor-perl amd64 1.19-4+b4 [36.1 kB] Get: 244 http://deb.debian.org/debian trixie/main amd64 libconfig-tiny-perl all 2.30-1 [18.9 kB] Get: 245 http://deb.debian.org/debian trixie/main amd64 libconst-fast-perl all 0.014-2 [8792 B] Get: 246 http://deb.debian.org/debian trixie/main amd64 libcpanel-json-xs-perl amd64 4.38-1+b1 [129 kB] Get: 247 http://deb.debian.org/debian trixie/main amd64 libaliased-perl all 0.34-3 [13.5 kB] Get: 248 http://deb.debian.org/debian trixie/main amd64 libclass-data-inheritable-perl all 0.10-1 [8632 B] Get: 249 http://deb.debian.org/debian trixie/main amd64 libdevel-stacktrace-perl all 2.0500-1 [26.4 kB] Get: 250 http://deb.debian.org/debian trixie/main amd64 libexception-class-perl all 1.45-1 [34.6 kB] Get: 251 http://deb.debian.org/debian trixie/main amd64 libiterator-perl all 0.03+ds1-2 [18.8 kB] Get: 252 http://deb.debian.org/debian trixie/main amd64 libiterator-util-perl all 0.02+ds1-2 [14.0 kB] Get: 253 http://deb.debian.org/debian trixie/main amd64 libdata-dpath-perl all 0.60-1 [41.8 kB] Get: 254 http://deb.debian.org/debian trixie/main amd64 libnet-domain-tld-perl all 1.75-4 [31.5 kB] Get: 255 http://deb.debian.org/debian trixie/main amd64 libdata-validate-domain-perl all 0.15-1 [11.9 kB] Get: 256 http://deb.debian.org/debian trixie/main amd64 libnet-ipv6addr-perl all 1.02-1 [21.7 kB] Get: 257 http://deb.debian.org/debian trixie/main amd64 libnet-netmask-perl all 2.0002-2 [28.6 kB] Get: 258 http://deb.debian.org/debian trixie/main amd64 libnetaddr-ip-perl amd64 4.079+dfsg-2+b4 [98.1 kB] Get: 259 http://deb.debian.org/debian trixie/main amd64 libdata-validate-ip-perl all 0.31-1 [20.6 kB] Get: 260 http://deb.debian.org/debian trixie/main amd64 libdata-validate-uri-perl all 0.07-3 [11.0 kB] Get: 261 http://deb.debian.org/debian trixie/main amd64 libdevel-size-perl amd64 0.84-1+b1 [24.2 kB] Get: 262 http://deb.debian.org/debian trixie/main amd64 libemail-address-xs-perl amd64 1.05-1+b4 [29.4 kB] Get: 263 http://deb.debian.org/debian trixie/main amd64 libipc-system-simple-perl all 1.30-2 [26.8 kB] Get: 264 http://deb.debian.org/debian trixie/main amd64 libfile-basedir-perl all 0.09-2 [15.1 kB] Get: 265 http://deb.debian.org/debian trixie/main amd64 libfile-find-rule-perl all 0.34-3 [26.6 kB] Get: 266 http://deb.debian.org/debian trixie/main amd64 libio-string-perl all 1.08-4 [12.1 kB] Get: 267 http://deb.debian.org/debian trixie/main amd64 libfont-ttf-perl all 1.06-2 [318 kB] Get: 268 http://deb.debian.org/debian trixie/main amd64 libhtml-html5-entities-perl all 0.004-3 [21.0 kB] Get: 269 http://deb.debian.org/debian trixie/main amd64 libhtml-tokeparser-simple-perl all 3.16-4 [39.1 kB] Get: 270 http://deb.debian.org/debian trixie/main amd64 libipc-run3-perl all 0.049-1 [31.5 kB] Get: 271 http://deb.debian.org/debian trixie/main amd64 libjson-maybexs-perl all 1.004008-1 [12.9 kB] Get: 272 http://deb.debian.org/debian trixie/main amd64 liblist-compare-perl all 0.55-2 [65.7 kB] Get: 273 http://deb.debian.org/debian trixie/main amd64 liblist-someutils-perl all 0.59-1 [37.1 kB] Get: 274 http://deb.debian.org/debian trixie/main amd64 liblist-utilsby-perl all 0.12-2 [15.5 kB] Get: 275 http://deb.debian.org/debian trixie/main amd64 libmldbm-perl all 2.05-4 [16.8 kB] Get: 276 http://deb.debian.org/debian trixie/main amd64 libclass-method-modifiers-perl all 2.15-1 [18.0 kB] Get: 277 http://deb.debian.org/debian trixie/main amd64 libimport-into-perl all 1.002005-2 [11.3 kB] Get: 278 http://deb.debian.org/debian trixie/main amd64 librole-tiny-perl all 2.002004-1 [21.4 kB] Get: 279 http://deb.debian.org/debian trixie/main amd64 libsub-quote-perl all 2.006008-1 [21.8 kB] Get: 280 http://deb.debian.org/debian trixie/main amd64 libmoo-perl all 2.005005-1 [58.0 kB] Get: 281 http://deb.debian.org/debian trixie/main amd64 libstrictures-perl all 2.000006-1 [18.6 kB] Get: 282 http://deb.debian.org/debian trixie/main amd64 libmoox-aliases-perl all 0.001006-2 [7156 B] Get: 283 http://deb.debian.org/debian trixie/main amd64 libperlio-gzip-perl amd64 0.20-1+b4 [17.5 kB] Get: 284 http://deb.debian.org/debian trixie/main amd64 libperlio-utf8-strict-perl amd64 0.010-1+b3 [11.4 kB] Get: 285 http://deb.debian.org/debian trixie/main amd64 libproc-processtable-perl amd64 0.636-1+b3 [42.3 kB] Get: 286 http://deb.debian.org/debian trixie/main amd64 libregexp-wildcards-perl all 1.05-3 [14.1 kB] Get: 287 http://deb.debian.org/debian trixie/main amd64 libsereal-decoder-perl amd64 5.004+ds-1+b3 [100 kB] Get: 288 http://deb.debian.org/debian trixie/main amd64 libsereal-encoder-perl amd64 5.004+ds-1+b3 [104 kB] Get: 289 http://deb.debian.org/debian trixie/main amd64 libterm-readkey-perl amd64 2.38-2+b4 [24.6 kB] Get: 290 http://deb.debian.org/debian trixie/main amd64 libtext-levenshteinxs-perl amd64 0.03-5+b4 [8720 B] Get: 291 http://deb.debian.org/debian trixie/main amd64 libmarkdown2 amd64 2.2.7-2.1 [36.0 kB] Get: 292 http://deb.debian.org/debian trixie/main amd64 libtext-markdown-discount-perl amd64 0.16-1+b3 [13.0 kB] Get: 293 http://deb.debian.org/debian trixie/main amd64 libdata-messagepack-perl amd64 1.02-1+b4 [32.8 kB] Get: 294 http://deb.debian.org/debian trixie/main amd64 libtext-xslate-perl amd64 3.5.9-2+b1 [174 kB] Get: 295 http://deb.debian.org/debian trixie/main amd64 libtime-duration-perl all 1.21-2 [13.1 kB] Get: 296 http://deb.debian.org/debian trixie/main amd64 libtime-moment-perl amd64 0.44-2+b4 [73.2 kB] Get: 297 http://deb.debian.org/debian trixie/main amd64 libunicode-utf8-perl amd64 0.62-2+b3 [20.4 kB] Get: 298 http://deb.debian.org/debian trixie/main amd64 libcgi-pm-perl all 4.66-1 [217 kB] Get: 299 http://deb.debian.org/debian trixie/main amd64 libhtml-form-perl all 6.12-1 [32.3 kB] Get: 300 http://deb.debian.org/debian trixie/main amd64 libwww-mechanize-perl all 2.19-1 [114 kB] Get: 301 http://deb.debian.org/debian trixie/main amd64 libxml-namespacesupport-perl all 1.12-2 [15.1 kB] Get: 302 http://deb.debian.org/debian trixie/main amd64 libxml-sax-base-perl all 1.09-3 [20.6 kB] Get: 303 http://deb.debian.org/debian trixie/main amd64 libxml-sax-perl all 1.02+dfsg-4 [53.4 kB] Get: 304 http://deb.debian.org/debian trixie/main amd64 libxml-libxml-perl amd64 2.0207+dfsg+really+2.0134-5+b1 [314 kB] Get: 305 http://deb.debian.org/debian trixie/main amd64 liblz1 amd64 1.15~pre2-1 [39.2 kB] Get: 306 http://deb.debian.org/debian trixie/main amd64 plzip amd64 1.11-2 [63.6 kB] Get: 307 http://deb.debian.org/debian trixie/main amd64 liblzo2-2 amd64 2.10-3+b1 [55.1 kB] Get: 308 http://deb.debian.org/debian trixie/main amd64 lzop amd64 1.04-2 [84.2 kB] Get: 309 http://deb.debian.org/debian trixie/main amd64 patchutils amd64 0.4.2-1 [77.5 kB] Get: 310 http://deb.debian.org/debian trixie/main amd64 t1utils amd64 1.41-4 [62.1 kB] Get: 311 http://deb.debian.org/debian trixie/main amd64 unzip amd64 6.0-28 [166 kB] Get: 312 http://deb.debian.org/debian trixie/main amd64 lintian all 2.120.0 [1058 kB] Get: 313 http://deb.debian.org/debian trixie/main amd64 libconfig-model-dpkg-perl all 3.005 [173 kB] Get: 314 http://deb.debian.org/debian trixie/main amd64 libconvert-binhex-perl all 1.125-3 [27.4 kB] Get: 315 http://deb.debian.org/debian trixie/main amd64 libnet-smtp-ssl-perl all 1.04-2 [6548 B] Get: 316 http://deb.debian.org/debian trixie/main amd64 libmailtools-perl all 2.22-1 [88.8 kB] Get: 317 http://deb.debian.org/debian trixie/main amd64 libmime-tools-perl all 5.515-1 [203 kB] Get: 318 http://deb.debian.org/debian trixie/main amd64 libsuitesparseconfig7 amd64 1:7.8.3+dfsg-2 [23.8 kB] Get: 319 http://deb.debian.org/debian trixie/main amd64 libamd3 amd64 1:7.8.3+dfsg-2 [40.7 kB] Get: 320 http://deb.debian.org/debian trixie/main amd64 libblas3 amd64 3.12.0-3+b1 [152 kB] Get: 321 http://deb.debian.org/debian trixie/main amd64 libgfortran5 amd64 14.2.0-8 [836 kB] Get: 322 http://deb.debian.org/debian trixie/main amd64 liblapack3 amd64 3.12.0-3+b1 [2450 kB] Get: 323 http://deb.debian.org/debian trixie/main amd64 libarpack2t64 amd64 3.9.1-1.1+b2 [104 kB] Get: 324 http://deb.debian.org/debian trixie/main amd64 libccolamd3 amd64 1:7.8.3+dfsg-2 [39.2 kB] Get: 325 http://deb.debian.org/debian trixie/main amd64 libcamd3 amd64 1:7.8.3+dfsg-2 [37.5 kB] Get: 326 http://deb.debian.org/debian trixie/main amd64 libcolamd3 amd64 1:7.8.3+dfsg-2 [32.5 kB] Get: 327 http://deb.debian.org/debian trixie/main amd64 libcholmod5 amd64 1:7.8.3+dfsg-2 [638 kB] Get: 328 http://deb.debian.org/debian trixie/main amd64 libcxsparse4 amd64 1:7.8.3+dfsg-2 [84.2 kB] Get: 329 http://deb.debian.org/debian trixie/main amd64 libfftw3-double3 amd64 3.3.10-1+b3 [780 kB] Get: 330 http://deb.debian.org/debian trixie/main amd64 libfftw3-single3 amd64 3.3.10-1+b3 [806 kB] Get: 331 http://deb.debian.org/debian trixie/main amd64 libxfixes3 amd64 1:6.0.0-2+b2 [20.3 kB] Get: 332 http://deb.debian.org/debian trixie/main amd64 libxcursor1 amd64 1:1.2.2-1+b1 [37.6 kB] Get: 333 http://deb.debian.org/debian trixie/main amd64 libxft2 amd64 2.3.6-1+b2 [54.5 kB] Get: 334 http://deb.debian.org/debian trixie/main amd64 libxinerama1 amd64 2:1.1.4-3+b2 [16.0 kB] Get: 335 http://deb.debian.org/debian trixie/main amd64 libfltk1.3t64 amd64 1.3.8-6.1+b1 [556 kB] Get: 336 http://deb.debian.org/debian trixie/main amd64 libglvnd0 amd64 1.7.0-1+b2 [52.0 kB] Get: 337 http://deb.debian.org/debian trixie/main amd64 libdrm-common all 2.4.123-1 [8084 B] Get: 338 http://deb.debian.org/debian trixie/main amd64 libdrm2 amd64 2.4.123-1 [38.7 kB] Get: 339 http://deb.debian.org/debian trixie/main amd64 libglapi-mesa amd64 24.2.7-1 [37.9 kB] Get: 340 http://deb.debian.org/debian trixie/main amd64 libx11-xcb1 amd64 2:1.8.10-2 [241 kB] Get: 341 http://deb.debian.org/debian trixie/main amd64 libxcb-dri2-0 amd64 1.17.0-2+b1 [107 kB] Get: 342 http://deb.debian.org/debian trixie/main amd64 libxcb-dri3-0 amd64 1.17.0-2+b1 [107 kB] Get: 343 http://deb.debian.org/debian trixie/main amd64 libxcb-glx0 amd64 1.17.0-2+b1 [122 kB] Get: 344 http://deb.debian.org/debian trixie/main amd64 libxcb-present0 amd64 1.17.0-2+b1 [106 kB] Get: 345 http://deb.debian.org/debian trixie/main amd64 libxcb-randr0 amd64 1.17.0-2+b1 [117 kB] Get: 346 http://deb.debian.org/debian trixie/main amd64 libxcb-sync1 amd64 1.17.0-2+b1 [109 kB] Get: 347 http://deb.debian.org/debian trixie/main amd64 libxcb-xfixes0 amd64 1.17.0-2+b1 [109 kB] Get: 348 http://deb.debian.org/debian trixie/main amd64 libxshmfence1 amd64 1.3-1+b2 [8848 B] Get: 349 http://deb.debian.org/debian trixie/main amd64 libxxf86vm1 amd64 1:1.1.4-1+b3 [19.3 kB] Get: 350 http://deb.debian.org/debian trixie/main amd64 libdrm-amdgpu1 amd64 2.4.123-1 [22.3 kB] Get: 351 http://deb.debian.org/debian trixie/main amd64 libpciaccess0 amd64 0.17-3+b2 [51.9 kB] Get: 352 http://deb.debian.org/debian trixie/main amd64 libdrm-intel1 amd64 2.4.123-1 [63.7 kB] Get: 353 http://deb.debian.org/debian trixie/main amd64 libdrm-radeon1 amd64 2.4.123-1 [22.3 kB] Get: 354 http://deb.debian.org/debian trixie/main amd64 libz3-4 amd64 4.13.3-1 [8560 kB] Get: 355 http://deb.debian.org/debian trixie/main amd64 libllvm19 amd64 1:19.1.3-2 [26.0 MB] Get: 356 http://deb.debian.org/debian trixie/main amd64 libsensors-config all 1:3.6.0-10 [14.6 kB] Get: 357 http://deb.debian.org/debian trixie/main amd64 libsensors5 amd64 1:3.6.0-10+b1 [35.1 kB] Get: 358 http://deb.debian.org/debian trixie/main amd64 mesa-libgallium amd64 24.2.7-1 [9186 kB] Get: 359 http://deb.debian.org/debian trixie/main amd64 libvulkan1 amd64 1.3.296.0-1 [126 kB] Get: 360 http://deb.debian.org/debian trixie/main amd64 libwayland-server0 amd64 1.23.0-1+b1 [34.2 kB] Get: 361 http://deb.debian.org/debian trixie/main amd64 libgbm1 amd64 24.2.7-1 [42.8 kB] Get: 362 http://deb.debian.org/debian trixie/main amd64 libgl1-mesa-dri amd64 24.2.7-1 [43.9 kB] Get: 363 http://deb.debian.org/debian trixie/main amd64 libglx-mesa0 amd64 24.2.7-1 [154 kB] Get: 364 http://deb.debian.org/debian trixie/main amd64 libglx0 amd64 1.7.0-1+b2 [34.9 kB] Get: 365 http://deb.debian.org/debian trixie/main amd64 libgl1 amd64 1.7.0-1+b2 [89.5 kB] Get: 366 http://deb.debian.org/debian trixie/main amd64 libfltk-gl1.3t64 amd64 1.3.8-6.1+b1 [63.0 kB] Get: 367 http://deb.debian.org/debian trixie/main amd64 libgl2ps1.4 amd64 1.4.2+dfsg1-2 [41.3 kB] Get: 368 http://deb.debian.org/debian trixie/main amd64 libltdl7 amd64 2.4.7-8 [393 kB] Get: 369 http://deb.debian.org/debian trixie/main amd64 libglpk40 amd64 5.0-1+b2 [401 kB] Get: 370 http://deb.debian.org/debian trixie/main amd64 libopengl0 amd64 1.7.0-1+b2 [30.9 kB] Get: 371 http://deb.debian.org/debian trixie/main amd64 libglu1-mesa amd64 9.0.2-1.1+b2 [185 kB] Get: 372 http://deb.debian.org/debian trixie/main amd64 libgif7 amd64 5.2.2-1+b1 [44.2 kB] Get: 373 http://deb.debian.org/debian trixie/main amd64 libhwy1t64 amd64 1.2.0-2+b1 [676 kB] Get: 374 http://deb.debian.org/debian trixie/main amd64 liblcms2-2 amd64 2.16-2 [160 kB] Get: 375 http://deb.debian.org/debian trixie/main amd64 libimath-3-1-29t64 amd64 3.1.12-1+b1 [42.0 kB] Get: 376 http://deb.debian.org/debian trixie/main amd64 libopenexr-3-1-30 amd64 3.1.5-5.1+b3 [934 kB] Get: 377 http://deb.debian.org/debian trixie/main amd64 libjxl0.9 amd64 0.9.2-10+b1 [1052 kB] Get: 378 http://deb.debian.org/debian trixie/main amd64 libwmflite-0.2-7 amd64 0.2.13-1.1+b3 [75.6 kB] Get: 379 http://deb.debian.org/debian trixie/main amd64 libgraphicsmagick-q16-3t64 amd64 1.4+really1.3.45-1+b1 [1229 kB] Get: 380 http://deb.debian.org/debian trixie/main amd64 libgraphicsmagick++-q16-12t64 amd64 1.4+really1.3.45-1+b1 [125 kB] Get: 381 http://deb.debian.org/debian trixie/main amd64 libcurl4t64 amd64 8.11.0-1 [351 kB] Get: 382 http://deb.debian.org/debian trixie/main amd64 libaec0 amd64 1.1.3-1+b1 [23.8 kB] Get: 383 http://deb.debian.org/debian trixie/main amd64 libsz2 amd64 1.1.3-1+b1 [8080 B] Get: 384 http://deb.debian.org/debian trixie/main amd64 libhdf5-103-1t64 amd64 1.10.10+repack-4 [1253 kB] Get: 385 http://deb.debian.org/debian trixie/main amd64 libasound2-data all 1.2.12-1 [21.0 kB] Get: 386 http://deb.debian.org/debian trixie/main amd64 libasound2t64 amd64 1.2.12-1+b1 [371 kB] Get: 387 http://deb.debian.org/debian trixie/main amd64 libopus0 amd64 1.5.2-2 [2852 kB] Get: 388 http://deb.debian.org/debian trixie/main amd64 libsamplerate0 amd64 0.2.2-4+b2 [950 kB] Get: 389 http://deb.debian.org/debian trixie/main amd64 libjack-jackd2-0 amd64 1.9.22~dfsg-3 [287 kB] Get: 390 http://deb.debian.org/debian trixie/main amd64 libportaudio2 amd64 19.6.0-1.2+b3 [64.8 kB] Get: 391 http://deb.debian.org/debian trixie/main amd64 libqhull-r8.0 amd64 2020.2-6+b2 [248 kB] Get: 392 http://deb.debian.org/debian trixie/main amd64 libqrupdate1 amd64 1.1.5-1 [39.9 kB] Get: 393 http://deb.debian.org/debian trixie/main amd64 libqscintilla2-qt6-l10n all 2.14.1+dfsg-1 [105 kB] Get: 394 http://deb.debian.org/debian trixie/main amd64 libb2-1 amd64 0.98.1-1.1+b2 [41.7 kB] Get: 395 http://deb.debian.org/debian trixie/main amd64 libdouble-conversion3 amd64 3.3.0-1+b2 [41.8 kB] Get: 396 http://deb.debian.org/debian trixie/main amd64 libpcre2-16-0 amd64 10.42-4+b2 [249 kB] Get: 397 http://deb.debian.org/debian trixie/main amd64 libqt6core6t64 amd64 6.7.2+dfsg-4 [1796 kB] Get: 398 http://deb.debian.org/debian trixie/main amd64 libwayland-client0 amd64 1.23.0-1+b1 [26.6 kB] Get: 399 http://deb.debian.org/debian trixie/main amd64 libegl-mesa0 amd64 24.2.7-1 [133 kB] Get: 400 http://deb.debian.org/debian trixie/main amd64 libegl1 amd64 1.7.0-1+b2 [34.6 kB] Get: 401 http://deb.debian.org/debian trixie/main amd64 x11-common all 1:7.7+23.1 [216 kB] Get: 402 http://deb.debian.org/debian trixie/main amd64 libice6 amd64 2:1.1.1-1 [65.4 kB] Get: 403 http://deb.debian.org/debian trixie/main amd64 libevdev2 amd64 1.13.3+dfsg-1 [32.2 kB] Get: 404 http://deb.debian.org/debian trixie/main amd64 libmtdev1t64 amd64 1.1.6-1.2+b1 [22.5 kB] Get: 405 http://deb.debian.org/debian trixie/main amd64 libgudev-1.0-0 amd64 238-5+b1 [14.8 kB] Get: 406 http://deb.debian.org/debian trixie/main amd64 libwacom-common all 2.13.0-1 [98.0 kB] Get: 407 http://deb.debian.org/debian trixie/main amd64 libwacom9 amd64 2.13.0-1 [24.0 kB] Get: 408 http://deb.debian.org/debian trixie/main amd64 libinput-bin amd64 1.26.2-1 [25.3 kB] Get: 409 http://deb.debian.org/debian trixie/main amd64 libinput10 amd64 1.26.2-1 [131 kB] Get: 410 http://deb.debian.org/debian trixie/main amd64 libmd4c0 amd64 0.5.2-2+b1 [49.0 kB] Get: 411 http://deb.debian.org/debian trixie/main amd64 libdbus-1-3 amd64 1.14.10-6 [203 kB] Get: 412 http://deb.debian.org/debian trixie/main amd64 libqt6dbus6 amd64 6.7.2+dfsg-4 [260 kB] Get: 413 http://deb.debian.org/debian trixie/main amd64 libsm6 amd64 2:1.2.4-1 [35.2 kB] Get: 414 http://deb.debian.org/debian trixie/main amd64 libts0t64 amd64 1.22-1.1+b1 [61.7 kB] Get: 415 http://deb.debian.org/debian trixie/main amd64 libxcb-util1 amd64 0.4.0-1+b2 [22.5 kB] Get: 416 http://deb.debian.org/debian trixie/main amd64 libxcb-image0 amd64 0.4.0-2+b2 [22.2 kB] Get: 417 http://deb.debian.org/debian trixie/main amd64 libxcb-render-util0 amd64 0.3.9-1+b2 [17.4 kB] Get: 418 http://deb.debian.org/debian trixie/main amd64 libxcb-cursor0 amd64 0.1.4-1+b2 [17.1 kB] Get: 419 http://deb.debian.org/debian trixie/main amd64 libxcb-icccm4 amd64 0.4.2-1 [27.5 kB] Get: 420 http://deb.debian.org/debian trixie/main amd64 libxcb-keysyms1 amd64 0.4.0-1+b3 [15.7 kB] Get: 421 http://deb.debian.org/debian trixie/main amd64 libxcb-shape0 amd64 1.17.0-2+b1 [106 kB] Get: 422 http://deb.debian.org/debian trixie/main amd64 libxcb-xinput0 amd64 1.17.0-2+b1 [130 kB] Get: 423 http://deb.debian.org/debian trixie/main amd64 libxcb-xkb1 amd64 1.17.0-2+b1 [130 kB] Get: 424 http://deb.debian.org/debian trixie/main amd64 xkb-data all 2.42-1 [790 kB] Get: 425 http://deb.debian.org/debian trixie/main amd64 libxkbcommon0 amd64 1.6.0-1+b2 [111 kB] Get: 426 http://deb.debian.org/debian trixie/main amd64 libxkbcommon-x11-0 amd64 1.6.0-1+b2 [16.3 kB] Get: 427 http://deb.debian.org/debian trixie/main amd64 libqt6gui6 amd64 6.7.2+dfsg-4 [3024 kB] Get: 428 http://deb.debian.org/debian trixie/main amd64 libavahi-common-data amd64 0.8-13+b3 [112 kB] Get: 429 http://deb.debian.org/debian trixie/main amd64 libavahi-common3 amd64 0.8-13+b3 [43.2 kB] Get: 430 http://deb.debian.org/debian trixie/main amd64 libavahi-client3 amd64 0.8-13+b3 [47.5 kB] Get: 431 http://deb.debian.org/debian trixie/main amd64 libcups2t64 amd64 2.4.10-2 [251 kB] Get: 432 http://deb.debian.org/debian trixie/main amd64 libqt6widgets6 amd64 6.7.2+dfsg-4 [2584 kB] Get: 433 http://deb.debian.org/debian trixie/main amd64 libqt6printsupport6 amd64 6.7.2+dfsg-4 [213 kB] Get: 434 http://deb.debian.org/debian trixie/main amd64 libqscintilla2-qt6-15 amd64 2.14.1+dfsg-1+b4 [1174 kB] Get: 435 http://deb.debian.org/debian trixie/main amd64 libqt6core5compat6 amd64 6.7.2-3 [135 kB] Get: 436 http://deb.debian.org/debian trixie/main amd64 libqt6sql6 amd64 6.7.2+dfsg-4 [138 kB] Get: 437 http://deb.debian.org/debian trixie/main amd64 libqt6help6 amd64 6.7.2-6 [180 kB] Get: 438 http://deb.debian.org/debian trixie/main amd64 libduktape207 amd64 2.7.0-2+b2 [135 kB] Get: 439 http://deb.debian.org/debian trixie/main amd64 libproxy1v5 amd64 0.5.9-1 [26.4 kB] Get: 440 http://deb.debian.org/debian trixie/main amd64 libqt6network6 amd64 6.7.2+dfsg-4 [766 kB] Get: 441 http://deb.debian.org/debian trixie/main amd64 libqt6opengl6 amd64 6.7.2+dfsg-4 [404 kB] Get: 442 http://deb.debian.org/debian trixie/main amd64 libqt6openglwidgets6 amd64 6.7.2+dfsg-4 [49.1 kB] Get: 443 http://deb.debian.org/debian trixie/main amd64 libqt6xml6 amd64 6.7.2+dfsg-4 [83.6 kB] Get: 444 http://deb.debian.org/debian trixie/main amd64 libogg0 amd64 1.3.5-3+b2 [23.8 kB] Get: 445 http://deb.debian.org/debian trixie/main amd64 libflac12t64 amd64 1.4.3+ds-2.1+b1 [201 kB] Get: 446 http://deb.debian.org/debian trixie/main amd64 libmp3lame0 amd64 3.100-6+b3 [363 kB] Get: 447 http://deb.debian.org/debian trixie/main amd64 libmpg123-0t64 amd64 1.32.9-1 [149 kB] Get: 448 http://deb.debian.org/debian trixie/main amd64 libvorbis0a amd64 1.3.7-2+b1 [91.1 kB] Get: 449 http://deb.debian.org/debian trixie/main amd64 libvorbisenc2 amd64 1.3.7-2+b1 [76.1 kB] Get: 450 http://deb.debian.org/debian trixie/main amd64 libsndfile1 amd64 1.2.2-1+b3 [199 kB] Get: 451 http://deb.debian.org/debian trixie/main amd64 libspqr4 amd64 1:7.8.3+dfsg-2 [146 kB] Get: 452 http://deb.debian.org/debian trixie/main amd64 libumfpack6 amd64 1:7.8.3+dfsg-2 [280 kB] Get: 453 http://deb.debian.org/debian trixie/main amd64 libtext-unidecode-perl all 1.30-3 [101 kB] Get: 454 http://deb.debian.org/debian trixie/main amd64 texinfo-lib amd64 7.1.1-1+b1 [232 kB] Get: 455 http://deb.debian.org/debian trixie/main amd64 tex-common all 6.18 [32.5 kB] Get: 456 http://deb.debian.org/debian trixie/main amd64 texinfo all 7.1.1-1 [1753 kB] Get: 457 http://deb.debian.org/debian trixie/main amd64 octave-common all 9.2.0-3 [6591 kB] Get: 458 http://deb.debian.org/debian trixie/main amd64 octave amd64 9.2.0-3+b1 [9721 kB] Get: 459 http://deb.debian.org/debian trixie/main amd64 libncurses6 amd64 6.5-2+b1 [105 kB] Get: 460 http://deb.debian.org/debian trixie/main amd64 libncurses-dev amd64 6.5-2+b1 [351 kB] Get: 461 http://deb.debian.org/debian trixie/main amd64 libreadline-dev amd64 8.2-5 [153 kB] Get: 462 http://deb.debian.org/debian trixie/main amd64 libhdf5-fortran-102t64 amd64 1.10.10+repack-4 [89.5 kB] Get: 463 http://deb.debian.org/debian trixie/main amd64 libhdf5-hl-100t64 amd64 1.10.10+repack-4 [63.9 kB] Get: 464 http://deb.debian.org/debian trixie/main amd64 libhdf5-hl-fortran-100t64 amd64 1.10.10+repack-4 [40.5 kB] Get: 465 http://deb.debian.org/debian trixie/main amd64 libhdf5-cpp-103-1t64 amd64 1.10.10+repack-4 [130 kB] Get: 466 http://deb.debian.org/debian trixie/main amd64 libhdf5-hl-cpp-100t64 amd64 1.10.10+repack-4 [21.4 kB] Get: 467 http://deb.debian.org/debian trixie/main amd64 zlib1g-dev amd64 1:1.3.dfsg+really1.3.1-1+b1 [920 kB] Get: 468 http://deb.debian.org/debian trixie/main amd64 libjpeg62-turbo-dev amd64 1:2.1.5-3+b1 [292 kB] Get: 469 http://deb.debian.org/debian trixie/main amd64 libjpeg-dev amd64 1:2.1.5-3+b1 [72.2 kB] Get: 470 http://deb.debian.org/debian trixie/main amd64 libaec-dev amd64 1.1.3-1+b1 [21.5 kB] Get: 471 http://deb.debian.org/debian trixie/main amd64 libbrotli-dev amd64 1.1.0-2+b6 [316 kB] Get: 472 http://deb.debian.org/debian trixie/main amd64 libidn2-dev amd64 2.3.7-2+b1 [123 kB] Get: 473 http://deb.debian.org/debian trixie/main amd64 libgssrpc4t64 amd64 1.21.3-3 [59.5 kB] Get: 474 http://deb.debian.org/debian trixie/main amd64 libkadm5clnt-mit12 amd64 1.21.3-3 [41.7 kB] Get: 475 http://deb.debian.org/debian trixie/main amd64 libkdb5-10t64 amd64 1.21.3-3 [42.0 kB] Get: 476 http://deb.debian.org/debian trixie/main amd64 libkadm5srv-mit12 amd64 1.21.3-3 [53.5 kB] Get: 477 http://deb.debian.org/debian trixie/main amd64 krb5-multidev amd64 1.21.3-3 [126 kB] Get: 478 http://deb.debian.org/debian trixie/main amd64 libkrb5-dev amd64 1.21.3-3 [15.7 kB] Get: 479 http://deb.debian.org/debian trixie/main amd64 libldap-dev amd64 2.5.18+dfsg-3+b1 [303 kB] Get: 480 http://deb.debian.org/debian trixie/main amd64 libpkgconf3 amd64 1.8.1-4 [36.4 kB] Get: 481 http://deb.debian.org/debian trixie/main amd64 pkgconf-bin amd64 1.8.1-4 [30.2 kB] Get: 482 http://deb.debian.org/debian trixie/main amd64 pkgconf amd64 1.8.1-4 [26.2 kB] Get: 483 http://deb.debian.org/debian trixie/main amd64 libnghttp2-dev amd64 1.64.0-1 [115 kB] Get: 484 http://deb.debian.org/debian trixie/main amd64 libpsl-dev amd64 0.21.2-1.1+b1 [77.6 kB] Get: 485 http://deb.debian.org/debian trixie/main amd64 libgmpxx4ldbl amd64 2:6.3.0+dfsg-2+b2 [329 kB] Get: 486 http://deb.debian.org/debian trixie/main amd64 libgmp-dev amd64 2:6.3.0+dfsg-2+b2 [642 kB] Get: 487 http://deb.debian.org/debian trixie/main amd64 libevent-2.1-7t64 amd64 2.1.12-stable-10+b1 [182 kB] Get: 488 http://deb.debian.org/debian trixie/main amd64 libunbound8 amd64 1.22.0-1 [598 kB] Get: 489 http://deb.debian.org/debian trixie/main amd64 libgnutls-dane0t64 amd64 3.8.8-2 [449 kB] Get: 490 http://deb.debian.org/debian trixie/main amd64 libgnutls-openssl27t64 amd64 3.8.8-2 [449 kB] Get: 491 http://deb.debian.org/debian trixie/main amd64 libp11-kit-dev amd64 0.25.5-2+b1 [208 kB] Get: 492 http://deb.debian.org/debian trixie/main amd64 libtasn1-6-dev amd64 4.19.0-3+b3 [98.9 kB] Get: 493 http://deb.debian.org/debian trixie/main amd64 nettle-dev amd64 3.10-1+b1 [1317 kB] Get: 494 http://deb.debian.org/debian trixie/main amd64 libgnutls28-dev amd64 3.8.8-2 [1391 kB] Get: 495 http://deb.debian.org/debian trixie/main amd64 librtmp-dev amd64 2.4+20151223.gitfa8646d.1-2+b5 [68.0 kB] Get: 496 http://deb.debian.org/debian trixie/main amd64 libssl-dev amd64 3.3.2-2 [2742 kB] Get: 497 http://deb.debian.org/debian trixie/main amd64 libssh2-1-dev amd64 1.11.1-1 [393 kB] Get: 498 http://deb.debian.org/debian trixie/main amd64 libzstd-dev amd64 1.5.6+dfsg-1+b1 [365 kB] Get: 499 http://deb.debian.org/debian trixie/main amd64 libcurl4-openssl-dev amd64 8.11.0-1 [461 kB] Get: 500 http://deb.debian.org/debian trixie/main amd64 hdf5-helpers amd64 1.10.10+repack-4 [23.5 kB] Get: 501 http://deb.debian.org/debian trixie/main amd64 libhdf5-dev amd64 1.10.10+repack-4 [2652 kB] Get: 502 http://deb.debian.org/debian trixie/main amd64 xorg-sgml-doctools all 1:1.11-1.1 [22.1 kB] Get: 503 http://deb.debian.org/debian trixie/main amd64 x11proto-dev all 2024.1-1 [603 kB] Get: 504 http://deb.debian.org/debian trixie/main amd64 libxau-dev amd64 1:1.0.11-1 [23.6 kB] Get: 505 http://deb.debian.org/debian trixie/main amd64 libxdmcp-dev amd64 1:1.1.5-1 [44.3 kB] Get: 506 http://deb.debian.org/debian trixie/main amd64 xtrans-dev all 1.4.0-1 [98.7 kB] Get: 507 http://deb.debian.org/debian trixie/main amd64 libxcb1-dev amd64 1.17.0-2+b1 [181 kB] Get: 508 http://deb.debian.org/debian trixie/main amd64 libx11-dev amd64 2:1.8.10-2 [891 kB] Get: 509 http://deb.debian.org/debian trixie/main amd64 libglx-dev amd64 1.7.0-1+b2 [15.8 kB] Get: 510 http://deb.debian.org/debian trixie/main amd64 libgl-dev amd64 1.7.0-1+b2 [101 kB] Get: 511 http://deb.debian.org/debian trixie/main amd64 libblas-dev amd64 3.12.0-3+b1 [161 kB] Get: 512 http://deb.debian.org/debian trixie/main amd64 liblapack-dev amd64 3.12.0-3+b1 [4990 kB] Get: 513 http://deb.debian.org/debian trixie/main amd64 libfftw3-long3 amd64 3.3.10-1+b3 [344 kB] Get: 514 http://deb.debian.org/debian trixie/main amd64 libfftw3-quad3 amd64 3.3.10-1+b3 [607 kB] Get: 515 http://deb.debian.org/debian trixie/main amd64 libfftw3-bin amd64 3.3.10-1+b3 [52.4 kB] Get: 516 http://deb.debian.org/debian trixie/main amd64 libfftw3-dev amd64 3.3.10-1+b3 [2124 kB] Get: 517 http://deb.debian.org/debian trixie/main amd64 libgfortran-14-dev amd64 14.2.0-8 [878 kB] Get: 518 http://deb.debian.org/debian trixie/main amd64 gfortran-14-x86-64-linux-gnu amd64 14.2.0-8 [11.7 MB] Get: 519 http://deb.debian.org/debian trixie/main amd64 gfortran-14 amd64 14.2.0-8 [12.2 kB] Get: 520 http://deb.debian.org/debian trixie/main amd64 gfortran-x86-64-linux-gnu amd64 4:14.2.0-1 [1284 B] Get: 521 http://deb.debian.org/debian trixie/main amd64 gfortran amd64 4:14.2.0-1 [1436 B] Get: 522 http://deb.debian.org/debian trixie/main amd64 octave-dev amd64 9.2.0-3+b1 [1001 kB] Get: 523 http://deb.debian.org/debian trixie/main amd64 dh-octave all 1.8.0 [22.7 kB] Fetched 201 MB in 6s (32.6 MB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package netbase. (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 ... 19969 files and directories currently installed.) Preparing to unpack .../000-netbase_6.4_all.deb ... Unpacking netbase (6.4) ... Selecting previously unselected package readline-common. Preparing to unpack .../001-readline-common_8.2-5_all.deb ... Unpacking readline-common (8.2-5) ... Selecting previously unselected package sensible-utils. Preparing to unpack .../002-sensible-utils_0.0.24_all.deb ... Unpacking sensible-utils (0.0.24) ... Selecting previously unselected package openssl. Preparing to unpack .../003-openssl_3.3.2-2_amd64.deb ... Unpacking openssl (3.3.2-2) ... Selecting previously unselected package ca-certificates. Preparing to unpack .../004-ca-certificates_20240203_all.deb ... Unpacking ca-certificates (20240203) ... Selecting previously unselected package libmagic-mgc. Preparing to unpack .../005-libmagic-mgc_1%3a5.45-3+b1_amd64.deb ... Unpacking libmagic-mgc (1:5.45-3+b1) ... Selecting previously unselected package libmagic1t64:amd64. Preparing to unpack .../006-libmagic1t64_1%3a5.45-3+b1_amd64.deb ... Unpacking libmagic1t64:amd64 (1:5.45-3+b1) ... Selecting previously unselected package file. Preparing to unpack .../007-file_1%3a5.45-3+b1_amd64.deb ... Unpacking file (1:5.45-3+b1) ... Selecting previously unselected package gettext-base. Preparing to unpack .../008-gettext-base_0.22.5-2_amd64.deb ... Unpacking gettext-base (0.22.5-2) ... Selecting previously unselected package libuchardet0:amd64. Preparing to unpack .../009-libuchardet0_0.0.8-1+b2_amd64.deb ... Unpacking libuchardet0:amd64 (0.0.8-1+b2) ... Selecting previously unselected package groff-base. Preparing to unpack .../010-groff-base_1.23.0-5_amd64.deb ... Unpacking groff-base (1.23.0-5) ... Selecting previously unselected package bsdextrautils. Preparing to unpack .../011-bsdextrautils_2.40.2-11_amd64.deb ... Unpacking bsdextrautils (2.40.2-11) ... Selecting previously unselected package libpipeline1:amd64. Preparing to unpack .../012-libpipeline1_1.5.8-1_amd64.deb ... Unpacking libpipeline1:amd64 (1.5.8-1) ... Selecting previously unselected package man-db. Preparing to unpack .../013-man-db_2.13.0-1_amd64.deb ... Unpacking man-db (2.13.0-1) ... Selecting previously unselected package ucf. Preparing to unpack .../014-ucf_3.0043+nmu1_all.deb ... Moving old data out of the way Unpacking ucf (3.0043+nmu1) ... Selecting previously unselected package aglfn. Preparing to unpack .../015-aglfn_1.7+git20191031.4036a9c-2_all.deb ... Unpacking aglfn (1.7+git20191031.4036a9c-2) ... Selecting previously unselected package libglib2.0-0t64:amd64. Preparing to unpack .../016-libglib2.0-0t64_2.82.2-2_amd64.deb ... Unpacking libglib2.0-0t64:amd64 (2.82.2-2) ... Selecting previously unselected package libicu72:amd64. Preparing to unpack .../017-libicu72_72.1-5+b1_amd64.deb ... Unpacking libicu72:amd64 (72.1-5+b1) ... Selecting previously unselected package libxml2:amd64. Preparing to unpack .../018-libxml2_2.12.7+dfsg+really2.9.14-0.2+b1_amd64.deb ... Unpacking libxml2:amd64 (2.12.7+dfsg+really2.9.14-0.2+b1) ... Selecting previously unselected package shared-mime-info. Preparing to unpack .../019-shared-mime-info_2.4-5+b1_amd64.deb ... Unpacking shared-mime-info (2.4-5+b1) ... Selecting previously unselected package libbrotli1:amd64. Preparing to unpack .../020-libbrotli1_1.1.0-2+b6_amd64.deb ... Unpacking libbrotli1:amd64 (1.1.0-2+b6) ... Selecting previously unselected package libkrb5support0:amd64. Preparing to unpack .../021-libkrb5support0_1.21.3-3_amd64.deb ... Unpacking libkrb5support0:amd64 (1.21.3-3) ... Selecting previously unselected package libcom-err2:amd64. Preparing to unpack .../022-libcom-err2_1.47.1-1+b1_amd64.deb ... Unpacking libcom-err2:amd64 (1.47.1-1+b1) ... Selecting previously unselected package libk5crypto3:amd64. Preparing to unpack .../023-libk5crypto3_1.21.3-3_amd64.deb ... Unpacking libk5crypto3:amd64 (1.21.3-3) ... Selecting previously unselected package libkeyutils1:amd64. Preparing to unpack .../024-libkeyutils1_1.6.3-4_amd64.deb ... Unpacking libkeyutils1:amd64 (1.6.3-4) ... Selecting previously unselected package libkrb5-3:amd64. Preparing to unpack .../025-libkrb5-3_1.21.3-3_amd64.deb ... Unpacking libkrb5-3:amd64 (1.21.3-3) ... Selecting previously unselected package libgssapi-krb5-2:amd64. Preparing to unpack .../026-libgssapi-krb5-2_1.21.3-3_amd64.deb ... 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Selecting previously unselected package libsub-name-perl:amd64. Preparing to unpack .../221-libsub-name-perl_0.27-1+b3_amd64.deb ... Unpacking libsub-name-perl:amd64 (0.27-1+b3) ... Selecting previously unselected package libnamespace-clean-perl. Preparing to unpack .../222-libnamespace-clean-perl_0.27-2_all.deb ... Unpacking libnamespace-clean-perl (0.27-2) ... Selecting previously unselected package libnumber-compare-perl. Preparing to unpack .../223-libnumber-compare-perl_0.03-3_all.deb ... Unpacking libnumber-compare-perl (0.03-3) ... Selecting previously unselected package libtext-glob-perl. Preparing to unpack .../224-libtext-glob-perl_0.11-3_all.deb ... Unpacking libtext-glob-perl (0.11-3) ... Selecting previously unselected package libpath-iterator-rule-perl. Preparing to unpack .../225-libpath-iterator-rule-perl_1.015-2_all.deb ... Unpacking libpath-iterator-rule-perl (1.015-2) ... Selecting previously unselected package libpod-parser-perl. Preparing to unpack .../226-libpod-parser-perl_1.67-1_all.deb ... Adding 'diversion of /usr/bin/podselect to /usr/bin/podselect.bundled by libpod-parser-perl' Adding 'diversion of /usr/share/man/man1/podselect.1.gz to /usr/share/man/man1/podselect.bundled.1.gz by libpod-parser-perl' Unpacking libpod-parser-perl (1.67-1) ... Selecting previously unselected package libpod-constants-perl. Preparing to unpack .../227-libpod-constants-perl_0.19-2_all.deb ... Unpacking libpod-constants-perl (0.19-2) ... Selecting previously unselected package libset-intspan-perl. Preparing to unpack .../228-libset-intspan-perl_1.19-3_all.deb ... Unpacking libset-intspan-perl (1.19-3) ... Selecting previously unselected package libstring-copyright-perl. Preparing to unpack .../229-libstring-copyright-perl_0.003014-1_all.deb ... Unpacking libstring-copyright-perl (0.003014-1) ... Selecting previously unselected package libstring-escape-perl. Preparing to unpack .../230-libstring-escape-perl_2010.002-3_all.deb ... Unpacking libstring-escape-perl (2010.002-3) ... Selecting previously unselected package libregexp-pattern-license-perl. Preparing to unpack .../231-libregexp-pattern-license-perl_3.11.2-1_all.deb ... Unpacking libregexp-pattern-license-perl (3.11.2-1) ... Selecting previously unselected package libregexp-pattern-perl. Preparing to unpack .../232-libregexp-pattern-perl_0.2.14-2_all.deb ... Unpacking libregexp-pattern-perl (0.2.14-2) ... Selecting previously unselected package libstring-license-perl. Preparing to unpack .../233-libstring-license-perl_0.0.11-1_all.deb ... Unpacking libstring-license-perl (0.0.11-1) ... Selecting previously unselected package licensecheck. Preparing to unpack .../234-licensecheck_3.3.9-1_all.deb ... Unpacking licensecheck (3.3.9-1) ... Selecting previously unselected package diffstat. Preparing to unpack .../235-diffstat_1.67-1_amd64.deb ... Unpacking diffstat (1.67-1) ... Selecting previously unselected package libassuan9:amd64. Preparing to unpack .../236-libassuan9_3.0.1-2_amd64.deb ... Unpacking libassuan9:amd64 (3.0.1-2) ... Selecting previously unselected package libreadline8t64:amd64. Preparing to unpack .../237-libreadline8t64_8.2-5_amd64.deb ... Adding 'diversion of /lib/x86_64-linux-gnu/libhistory.so.8 to /lib/x86_64-linux-gnu/libhistory.so.8.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/x86_64-linux-gnu/libhistory.so.8.2 to /lib/x86_64-linux-gnu/libhistory.so.8.2.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/x86_64-linux-gnu/libreadline.so.8 to /lib/x86_64-linux-gnu/libreadline.so.8.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/x86_64-linux-gnu/libreadline.so.8.2 to /lib/x86_64-linux-gnu/libreadline.so.8.2.usr-is-merged by libreadline8t64' Unpacking libreadline8t64:amd64 (8.2-5) ... Selecting previously unselected package gpgconf. Preparing to unpack .../238-gpgconf_2.2.45-2_amd64.deb ... 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Setting up plzip (1.11-2) ... update-alternatives: using /usr/bin/lzip.plzip to provide /usr/bin/lzip (lzip) in auto mode update-alternatives: using /usr/bin/lzip.plzip to provide /usr/bin/lzip-compressor (lzip-compressor) in auto mode update-alternatives: using /usr/bin/lzip.plzip to provide /usr/bin/lzip-decompressor (lzip-decompressor) in auto mode Setting up libsharpyuv0:amd64 (1.4.0-0.1+b1) ... Setting up libwayland-server0:amd64 (1.23.0-1+b1) ... Setting up libaom3:amd64 (3.11.0-1) ... Setting up libpciaccess0:amd64 (0.17-3+b2) ... Setting up libfile-which-perl (1.27-2) ... Setting up libxau6:amd64 (1:1.0.11-1) ... Setting up libxdmcp6:amd64 (1:1.1.5-1) ... Setting up libdouble-conversion3:amd64 (3.3.0-1+b2) ... Setting up libkeyutils1:amd64 (1.6.3-4) ... Setting up libxcb1:amd64 (1.17.0-2+b1) ... Setting up libunicode-utf8-perl (0.62-2+b3) ... Setting up libfftw3-single3:amd64 (3.3.10-1+b3) ... Setting up libset-intspan-perl (1.19-3) ... 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Setting up libqhull-r8.0:amd64 (2020.2-6+b2) ... Setting up libxcb-render-util0:amd64 (0.3.9-1+b2) ... Setting up xkb-data (2.42-1) ... Setting up liblzo2-2:amd64 (2.10-3+b1) ... Setting up libtime-moment-perl (0.44-2+b4) ... Setting up libencode-locale-perl (1.05-3) ... Setting up libxcb-shm0:amd64 (1.17.0-2+b1) ... Setting up libxcb-icccm4:amd64 (0.4.2-1) ... Setting up libcom-err2:amd64 (1.47.1-1+b1) ... Setting up file (1:5.45-3+b1) ... Setting up texinfo-lib (7.1.1-1+b1) ... Setting up libmpg123-0t64:amd64 (1.32.9-1) ... Setting up libconfig-tiny-perl (2.30-1) ... Setting up libsereal-encoder-perl (5.004+ds-1+b3) ... Setting up liblist-utilsby-perl (0.12-2) ... Setting up libyaml-tiny-perl (1.74-1) ... Setting up libjbig0:amd64 (2.1-6.1+b2) ... Setting up octave-common (9.2.0-3) ... Setting up libregexp-common-perl (2024080801-1) ... Setting up libpcre2-16-0:amd64 (10.42-4+b2) ... Setting up libaec0:amd64 (1.1.3-1+b1) ... Setting up libnet-netmask-perl (2.0002-2) ... Setting up libopengl0:amd64 (1.7.0-1+b2) ... Setting up libsub-install-perl (0.929-1) ... Setting up libelf1t64:amd64 (0.192-4) ... Setting up libxcb-util1:amd64 (0.4.0-1+b2) ... Setting up libpsl-dev:amd64 (0.21.2-1.1+b1) ... Setting up libindirect-perl (0.39-2+b4) ... Setting up libxcb-xkb1:amd64 (1.17.0-2+b1) ... Setting up libxcb-image0:amd64 (0.4.0-2+b2) ... Setting up libkrb5support0:amd64 (1.21.3-3) ... Setting up libnumber-compare-perl (0.03-3) ... Setting up libsasl2-modules-db:amd64 (2.1.28+dfsg1-8) ... Setting up libxcb-present0:amd64 (1.17.0-2+b1) ... Setting up liberror-perl (0.17029-2) ... Setting up libasound2-data (1.2.12-1) ... Setting up libjson-maybexs-perl (1.004008-1) ... Setting up libxml-sax-base-perl (1.09-3) ... Setting up libio-string-perl (1.08-4) ... Setting up libboolean-perl (0.46-3) ... Setting up libnetaddr-ip-perl (4.079+dfsg-2+b4) ... Setting up xtrans-dev (1.4.0-1) ... Setting up autotools-dev (20220109.1) ... Setting up libz3-4:amd64 (4.13.3-1) ... Setting up libglib2.0-0t64:amd64 (2.82.2-2) ... No schema files found: doing nothing. Setting up libblas3:amd64 (3.12.0-3+b1) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so.3 to provide /usr/lib/x86_64-linux-gnu/libblas.so.3 (libblas.so.3-x86_64-linux-gnu) in auto mode Setting up libclass-data-inheritable-perl (0.10-1) ... Setting up libunbound8:amd64 (1.22.0-1) ... Setting up libpkgconf3:amd64 (1.8.1-4) ... Setting up libgmpxx4ldbl:amd64 (2:6.3.0+dfsg-2+b2) ... Setting up libalgorithm-c3-perl (0.11-2) ... Setting up libasound2t64:amd64 (1.2.12-1+b1) ... Setting up liblog-log4perl-perl (1.57-1) ... Setting up libtext-reform-perl (1.20-5) ... Setting up libjpeg62-turbo:amd64 (1:2.1.5-3+b1) ... Setting up libgnutls-dane0t64:amd64 (3.8.8-2) ... Setting up libx11-data (2:1.8.10-2) ... Setting up libsvtav1enc2:amd64 (2.2.1+dfsg-2) ... Setting up libjpeg62-turbo-dev:amd64 (1:2.1.5-3+b1) ... Setting up libfile-find-rule-perl (0.34-3) ... Setting up libxcb-sync1:amd64 (1.17.0-2+b1) ... Setting up librtmp1:amd64 (2.4+20151223.gitfa8646d.1-2+b5) ... Setting up libipc-system-simple-perl (1.30-2) ... Setting up libio-tiecombine-perl (1.005-3) ... Setting up libnet-domain-tld-perl (1.75-4) ... Setting up libperlio-utf8-strict-perl (0.010-1+b3) ... Setting up aglfn (1.7+git20191031.4036a9c-2) ... Setting up libxcb-cursor0:amd64 (0.1.4-1+b2) ... Setting up libavahi-common-data:amd64 (0.8-13+b3) ... Setting up libncurses6:amd64 (6.5-2+b1) ... Setting up libdbus-1-3:amd64 (1.14.10-6) ... Setting up libfftw3-quad3:amd64 (3.3.10-1+b3) ... Setting up libfribidi0:amd64 (1.0.15-1) ... Setting up libopus0:amd64 (1.5.2-2) ... Setting up t1utils (1.41-4) ... Setting up diffstat (1.67-1) ... Setting up libimagequant0:amd64 (2.18.0-1+b2) ... Setting up comerr-dev:amd64 (2.1-1.47.1-1+b1) ... Setting up fonts-dejavu-mono (2.37-8) ... Setting up libssl-dev:amd64 (3.3.2-2) ... Setting up libpng16-16t64:amd64 (1.6.44-2) ... Setting up libimath-3-1-29t64:amd64 (3.1.12-1+b1) ... Setting up libvorbis0a:amd64 (1.3.7-2+b1) ... Setting up libvariable-magic-perl (0.64-1+b1) ... Setting up libio-html-perl (1.004-3) ... Setting up libtext-template-perl (1.61-1) ... Setting up libpod-parser-perl (1.67-1) ... Setting up autopoint (0.22.5-2) ... Setting up libb-hooks-op-check-perl:amd64 (0.22-3+b2) ... Setting up fonts-dejavu-core (2.37-8) ... Setting up liblist-moreutils-xs-perl (0.430-4+b2) ... Setting up pkgconf-bin (1.8.1-4) ... Setting up libsensors5:amd64 (1:3.6.0-10+b1) ... Setting up libk5crypto3:amd64 (1.21.3-3) ... Setting up libqscintilla2-qt6-l10n (2.14.1+dfsg-1) ... Setting up libltdl7:amd64 (2.4.7-8) ... Setting up libidn2-dev:amd64 (2.3.7-2+b1) ... Setting up libfftw3-double3:amd64 (3.3.10-1+b3) ... Setting up libglapi-mesa:amd64 (24.2.7-1) ... Setting up libparams-util-perl (1.102-3+b1) ... Setting up libsasl2-2:amd64 (2.1.28+dfsg1-8) ... Setting up libgfortran5:amd64 (14.2.0-8) ... Setting up libvulkan1:amd64 (1.3.296.0-1) ... Setting up libtime-duration-perl (1.21-2) ... Setting up autoconf (2.72-3) ... Setting up libtext-xslate-perl:amd64 (3.5.9-2+b1) ... Setting up libnghttp3-9:amd64 (1.4.0-1+b1) ... Setting up libsub-exporter-progressive-perl (0.001013-3) ... Setting up libwebp7:amd64 (1.4.0-0.1+b1) ... Setting up libarray-intspan-perl (2.004-2) ... Setting up libcapture-tiny-perl (0.48-2) ... Setting up libtimedate-perl (2.3300-2) ... Setting up libexporter-lite-perl (0.09-2) ... Setting up libxcb-dri2-0:amd64 (1.17.0-2+b1) ... Setting up libsub-name-perl:amd64 (0.27-1+b3) ... Setting up libgif7:amd64 (5.2.2-1+b1) ... Setting up zlib1g-dev:amd64 (1:1.3.dfsg+really1.3.1-1+b1) ... Setting up dwz (0.15-1+b1) ... Setting up libdata-validate-domain-perl (0.15-1) ... Setting up libproc-processtable-perl:amd64 (0.636-1+b3) ... Setting up libparse-recdescent-perl (1.967015+dfsg-4) ... Setting up libdav1d7:amd64 (1.5.0-1+b1) ... Setting up libmtdev1t64:amd64 (1.1.6-1.2+b1) ... Setting up sensible-utils (0.0.24) ... Setting up libduktape207:amd64 (2.7.0-2+b2) ... Setting up libxshmfence1:amd64 (1.3-1+b2) ... Setting up libtiff6:amd64 (4.5.1+git230720-5) ... Setting up libxcb-randr0:amd64 (1.17.0-2+b1) ... Setting up librav1e0.7:amd64 (0.7.1-7+b2) ... Setting up libpath-tiny-perl (0.146-1) ... Setting up libuchardet0:amd64 (0.0.8-1+b2) ... Setting up lzop (1.04-2) ... Setting up libassuan9:amd64 (3.0.1-2) ... Setting up libjson-perl (4.10000-1) ... Setting up liblog-any-adapter-screen-perl (0.141-1) ... Setting up librole-tiny-perl (2.002004-1) ... Setting up libipc-run3-perl (0.049-1) ... Setting up libmd4c0:amd64 (0.5.2-2+b1) ... Setting up libregexp-wildcards-perl (1.05-3) ... Setting up libmousex-strictconstructor-perl (0.02-3) ... Setting up libfile-sharedir-perl (1.118-3) ... Setting up libsub-uplevel-perl (0.2800-3) ... Setting up libsuitesparseconfig7:amd64 (1:7.8.3+dfsg-2) ... Setting up liblua5.4-0:amd64 (5.4.6-3+b2) ... Setting up libx11-6:amd64 (2:1.8.10-2) ... Setting up libaliased-perl (0.34-3) ... Setting up libthai-data (0.1.29-2) ... Setting up xorg-sgml-doctools (1:1.11-1.1) ... Setting up netbase (6.4) ... Setting up libabsl20230802:amd64 (20230802.1-4) ... Setting up libngtcp2-16:amd64 (1.6.0-1) ... Setting up libstrictures-perl (2.000006-1) ... Setting up libsub-quote-perl (2.006008-1) ... Setting up libdevel-stacktrace-perl (2.0500-1) ... Setting up libclass-xsaccessor-perl (1.19-4+b4) ... Setting up libtext-autoformat-perl (1.750000-2) ... Setting up libkrb5-3:amd64 (1.21.3-3) ... Setting up libglu1-mesa:amd64 (9.0.2-1.1+b2) ... Setting up libflac12t64:amd64 (1.4.3+ds-2.1+b1) ... Setting up libtoml-tiny-perl (0.18-1) ... Setting up libstemmer0d:amd64 (2.2.0-4+b2) ... Setting up libsort-versions-perl (1.62-3) ... Setting up libssh2-1t64:amd64 (1.11.1-1) ... Setting up libexporter-tiny-perl (1.006002-1) ... Setting up libterm-readkey-perl (2.38-2+b4) ... Setting up libtext-unidecode-perl (1.30-3) ... Setting up libde265-0:amd64 (1.0.15-1+b2) ... Setting up libfont-ttf-perl (1.06-2) ... Setting up libfile-homedir-perl (1.006-2) ... Setting up libsamplerate0:amd64 (0.2.2-4+b2) ... Setting up libtasn1-6-dev:amd64 (4.19.0-3+b3) ... Setting up openssl (3.3.2-2) ... Setting up libwebpmux3:amd64 (1.4.0-0.1+b1) ... Setting up libtext-levenshteinxs-perl (0.03-5+b4) ... Setting up libperlio-gzip-perl (0.20-1+b4) ... Setting up libdrm-common (2.4.123-1) ... Setting up libyuv0:amd64 (0.0.1897.20241115-1) ... Setting up libevdev2:amd64 (1.13.3+dfsg-1) ... Setting up readline-common (8.2-5) ... Setting up libxml2:amd64 (2.12.7+dfsg+really2.9.14-0.2+b1) ... Setting up libhtml-html5-entities-perl (0.004-3) ... Setting up libtext-levenshtein-damerau-perl (0.41-3) ... Setting up libsereal-decoder-perl (5.004+ds-1+b3) ... Setting up libmarkdown2:amd64 (2.2.7-2.1) ... Setting up liburi-perl (5.30-1) ... Setting up iso-codes (4.17.0-1) ... Setting up libnet-ipv6addr-perl (1.02-1) ... Setting up libbrotli-dev:amd64 (1.1.0-2+b6) ... Setting up libgudev-1.0-0:amd64 (238-5+b1) ... Setting up libngtcp2-crypto-gnutls8:amd64 (1.6.0-1) ... Setting up libp11-kit-dev:amd64 (0.25.5-2+b1) ... Setting up libmp3lame0:amd64 (3.100-6+b3) ... Setting up libblas-dev:amd64 (3.12.0-3+b1) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so to provide /usr/lib/x86_64-linux-gnu/libblas.so (libblas.so-x86_64-linux-gnu) in auto mode Setting up libsz2:amd64 (1.1.3-1+b1) ... Setting up libvorbisenc2:amd64 (1.3.7-2+b1) ... Setting up libdata-validate-ip-perl (0.31-1) ... Setting up libwacom-common (2.13.0-1) ... Setting up libmousex-nativetraits-perl (1.09-3) ... Setting up libemail-address-xs-perl (1.05-1+b4) ... Setting up libxkbcommon0:amd64 (1.6.0-1+b2) ... Setting up libwayland-client0:amd64 (1.23.0-1+b1) ... Setting up libnet-ssleay-perl:amd64 (1.94-2) ... Setting up automake (1:1.16.5-1.3) ... update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode Setting up libgfortran-14-dev:amd64 (14.2.0-8) ... Setting up x11proto-dev (2024.1-1) ... Setting up libfile-stripnondeterminism-perl (1.14.0-1) ... Setting up libxcb-dri3-0:amd64 (1.17.0-2+b1) ... Setting up gnuplot-data (6.0.0+dfsg1-3) ... Setting up libllvm19:amd64 (1:19.1.3-2) ... Setting up libx11-xcb1:amd64 (2:1.8.10-2) ... Setting up libice6:amd64 (2:1.1.1-1) ... Setting up libhttp-date-perl (6.06-1) ... Setting up liblapack3:amd64 (3.12.0-3+b1) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/x86_64-linux-gnu/liblapack.so.3 (liblapack.so.3-x86_64-linux-gnu) in auto mode Setting up libncurses-dev:amd64 (6.5-2+b1) ... Setting up libfile-basedir-perl (0.09-2) ... Setting up gettext (0.22.5-2) ... Setting up libarpack2t64:amd64 (3.9.1-1.1+b2) ... Setting up libgmp-dev:amd64 (2:6.3.0+dfsg-2+b2) ... Setting up libamd3:amd64 (1:7.8.3+dfsg-2) ... Setting up libfile-listing-perl (6.16-1) ... Setting up libxau-dev:amd64 (1:1.0.11-1) ... Setting up libxpm4:amd64 (1:3.5.17-1+b2) ... Setting up nettle-dev:amd64 (3.10-1+b1) ... Setting up libxrender1:amd64 (1:0.9.10-1.1+b2) ... Setting up libtool (2.4.7-8) ... Setting up libcolamd3:amd64 (1:7.8.3+dfsg-2) ... Setting up libfftw3-bin (3.3.10-1+b3) ... Setting up libwacom9:amd64 (2.13.0-1) ... Setting up fontconfig-config (2.15.0-1.1+b1) ... Setting up liblist-moreutils-perl (0.430-2) ... Setting up libxmlb2:amd64 (0.3.21-1) ... Setting up libpod-constants-perl (0.19-2) ... Setting up libhash-merge-perl (0.302-1) ... Setting up libsoftware-copyright-perl (0.012-2) ... Setting up libaec-dev:amd64 (1.1.3-1+b1) ... Setting up libavahi-common3:amd64 (0.8-13+b3) ... Setting up libcxsparse4:amd64 (1:7.8.3+dfsg-2) ... Setting up libjpeg-dev:amd64 (1:2.1.5-3+b1) ... Setting up libxext6:amd64 (2:1.3.4-1+b2) ... Setting up libnet-http-perl (6.23-1) ... Setting up libpath-iterator-rule-perl (1.015-2) ... Setting up libtext-markdown-discount-perl (0.16-1+b3) ... Setting up libexception-class-perl (1.45-1) ... Setting up libclass-c3-perl (0.35-2) ... Setting up libqrupdate1:amd64 (1.1.5-1) ... Setting up libdevel-callchecker-perl:amd64 (0.009-1+b1) ... Setting up libldap-2.5-0:amd64 (2.5.18+dfsg-3+b1) ... Setting up libcamd3:amd64 (1:7.8.3+dfsg-2) ... Setting up gfortran-14-x86-64-linux-gnu (14.2.0-8) ... Setting up pkgconf:amd64 (1.8.1-4) ... Setting up libxxf86vm1:amd64 (1:1.1.4-1+b3) ... Setting up libinput-bin (1.26.2-1) ... Setting up libxs-parse-sublike-perl:amd64 (0.30-1) ... Setting up intltool-debian (0.35.0+20060710.6) ... Setting up dh-autoreconf (20) ... Setting up patchutils (0.4.2-1) ... Setting up libthai0:amd64 (0.1.29-2+b1) ... Setting up ca-certificates (20240203) ... Updating certificates in /etc/ssl/certs... 146 added, 0 removed; done. Setting up libxdmcp-dev:amd64 (1:1.1.5-1) ... Setting up libdata-validate-uri-perl (0.07-3) ... Setting up libxs-parse-keyword-perl (0.46-1+b1) ... Setting up libtest-exception-perl (0.43-3) ... Setting up libfreetype6:amd64 (2.13.3+dfsg-1) ... Setting up libglpk40:amd64 (5.0-1+b2) ... Setting up libxfixes3:amd64 (1:6.0.0-2+b2) ... Setting up libstring-copyright-perl (0.003014-1) ... Setting up libldap-dev:amd64 (2.5.18+dfsg-3+b1) ... Setting up libopenexr-3-1-30:amd64 (3.1.5-5.1+b3) ... Setting up shared-mime-info (2.4-5+b1) ... Setting up libxinerama1:amd64 (2:1.1.4-3+b2) ... Setting up libxkbcommon-x11-0:amd64 (1.6.0-1+b2) ... Setting up liblapack-dev:amd64 (3.12.0-3+b1) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/lapack/liblapack.so to provide /usr/lib/x86_64-linux-gnu/liblapack.so (liblapack.so-x86_64-linux-gnu) in auto mode Setting up libgssapi-krb5-2:amd64 (1.21.3-3) ... Setting up libdata-optlist-perl (0.114-1) ... Setting up libgav1-1:amd64 (0.19.0-2+b2) ... Setting up ucf (3.0043+nmu1) ... Setting up libssh2-1-dev:amd64 (1.11.1-1) ... Setting up libccolamd3:amd64 (1:7.8.3+dfsg-2) ... Setting up libreadline8t64:amd64 (8.2-5) ... Setting up dh-strip-nondeterminism (1.14.0-1) ... Setting up libwww-robotrules-perl (6.02-1) ... Setting up libsyntax-keyword-try-perl (0.30-1+b1) ... Setting up libjack-jackd2-0:amd64 (1.9.22~dfsg-3) ... Setting up libdrm2:amd64 (2.4.123-1) ... Setting up groff-base (1.23.0-5) ... Setting up libhtml-parser-perl:amd64 (3.83-1+b1) ... Setting up gpgconf (2.2.45-2) ... Setting up libharfbuzz0b:amd64 (10.0.1-1) ... Setting up libfontconfig1:amd64 (2.15.0-1.1+b1) ... Setting up libsndfile1:amd64 (1.2.2-1+b3) ... Setting up libmro-compat-perl (0.15-2) ... Setting up gfortran-14 (14.2.0-8) ... Setting up libsm6:amd64 (2:1.2.4-1) ... Setting up libfftw3-dev:amd64 (3.3.10-1+b3) ... Setting up libavahi-client3:amd64 (0.8-13+b3) ... Setting up libio-socket-ssl-perl (2.089-1) ... Setting up gpg (2.2.45-2) ... Setting up libsub-exporter-perl (0.990-1) ... Setting up libhttp-message-perl (7.00-2) ... Setting up libdrm-amdgpu1:amd64 (2.4.123-1) ... Setting up libhtml-form-perl (6.12-1) ... Setting up libiterator-perl (0.03+ds1-2) ... Setting up libgnutls28-dev:amd64 (3.8.8-2) ... Setting up libinput10:amd64 (1.26.2-1) ... Setting up libnghttp2-dev:amd64 (1.64.0-1) ... Setting up libportaudio2:amd64 (19.6.0-1.2+b3) ... Setting up libqt6core6t64:amd64 (6.7.2+dfsg-4) ... Setting up libhttp-negotiate-perl (6.01-2) ... Setting up fontconfig (2.15.0-1.1+b1) ... Regenerating fonts cache... done. Setting up libavif16:amd64 (1.1.1-1) ... Setting up libcarp-assert-more-perl (2.5.0-1) ... Setting up libcholmod5:amd64 (1:7.8.3+dfsg-2) ... Setting up libxft2:amd64 (2.3.6-1+b2) ... Setting up libfeature-compat-try-perl (0.05-1) ... Setting up libxcb1-dev:amd64 (1.17.0-2+b1) ... Setting up libiterator-util-perl (0.02+ds1-2) ... Setting up libcurl4t64:amd64 (8.11.0-1) ... Setting up libhttp-cookies-perl (6.11-1) ... Setting up libspqr4:amd64 (1:7.8.3+dfsg-2) ... Setting up libdrm-radeon1:amd64 (2.4.123-1) ... Setting up po-debconf (1.0.21+nmu1) ... Setting up libhtml-tree-perl (5.07-3) ... Setting up libxcursor1:amd64 (1:1.2.2-1+b1) ... Setting up libparams-classify-perl:amd64 (0.015-2+b4) ... Setting up libpango-1.0-0:amd64 (1.54.0+ds-3) ... Setting up libdrm-intel1:amd64 (2.4.123-1) ... Setting up libcgi-pm-perl (4.66-1) ... Setting up libx11-dev:amd64 (2:1.8.10-2) ... Setting up libcurl3t64-gnutls:amd64 (8.11.0-1) ... Setting up libjxl0.9:amd64 (0.9.2-10+b1) ... Setting up libappstream5:amd64 (1.0.3-1+b1) ... Setting up libreadline-dev:amd64 (8.2-5) ... Setting up man-db (2.13.0-1) ... Not building database; man-db/auto-update is not 'true'. Setting up gfortran-x86-64-linux-gnu (4:14.2.0-1) ... Setting up libxml-sax-perl (1.02+dfsg-4) ... update-perl-sax-parsers: Registering Perl SAX parser XML::SAX::PurePerl with priority 10... update-perl-sax-parsers: Updating overall Perl SAX parser modules info file... Creating config file /etc/perl/XML/SAX/ParserDetails.ini with new version Setting up gfortran (4:14.2.0-1) ... update-alternatives: using /usr/bin/gfortran to provide /usr/bin/f95 (f95) in auto mode update-alternatives: using /usr/bin/gfortran to provide /usr/bin/f77 (f77) in auto mode Setting up libcairo2:amd64 (1.18.2-2) ... Setting up libobject-pad-perl (0.815-1) ... Setting up tex-common (6.18) ... update-language: texlive-base not installed and configured, doing nothing! Setting up appstream (1.0.3-1+b1) ... ? Metadata cache was updated successfully. Setting up libnet-smtp-ssl-perl (1.04-2) ... Setting up libqt6xml6:amd64 (6.7.2+dfsg-4) ... Setting up libqt6sql6:amd64 (6.7.2+dfsg-4) ... Setting up libmodule-runtime-perl (0.016-2) ... Setting up libmailtools-perl (2.22-1) ... Setting up libgssrpc4t64:amd64 (1.21.3-3) ... Setting up libraqm0:amd64 (0.10.1-1+b2) ... Setting up libconfig-model-perl (2.154-1) ... Setting up librtmp-dev:amd64 (2.4+20151223.gitfa8646d.1-2+b5) ... Setting up libxml-libxml-perl (2.0207+dfsg+really+2.0134-5+b1) ... update-perl-sax-parsers: Registering Perl SAX parser XML::LibXML::SAX::Parser with priority 50... update-perl-sax-parsers: Registering Perl SAX parser XML::LibXML::SAX with priority 50... update-perl-sax-parsers: Updating overall Perl SAX parser modules info file... Replacing config file /etc/perl/XML/SAX/ParserDetails.ini with new version Setting up libumfpack6:amd64 (1:7.8.3+dfsg-2) ... Setting up libconst-fast-perl (0.014-2) ... Setting up libdata-section-perl (0.200008-1) ... Setting up libqt6core5compat6:amd64 (6.7.2-3) ... Setting up libpangoft2-1.0-0:amd64 (1.54.0+ds-3) ... Setting up libhdf5-103-1t64:amd64 (1.10.10+repack-4) ... Setting up libdata-dpath-perl (0.60-1) ... 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Setting up octave (9.2.0-3+b1) ... Setting up octave-dev (9.2.0-3+b1) ... Setting up dh-octave (1.8.0) ... Processing triggers for libc-bin (2.40-3) ... Processing triggers for ca-certificates (20240203) ... 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/octave-stk-2.8.1/ && 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 > ../octave-stk_2.8.1-3_source.changes dpkg-buildpackage: info: source package octave-stk dpkg-buildpackage: info: source version 2.8.1-3 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Rafael Laboissière dpkg-source --before-build . dpkg-buildpackage: info: host architecture amd64 debian/rules clean dh clean --buildsystem=octave dh_auto_clean -O--buildsystem=octave dh_octave_clean make[1]: Entering directory '/build/reproducible-path/octave-stk-2.8.1' make[1]: *** No rule to make target 'clean'. make[1]: *** No rule to make target 'distclean'. make[1]: Leaving directory '/build/reproducible-path/octave-stk-2.8.1' make[1]: Entering directory '/build/reproducible-path/octave-stk-2.8.1/src' rm -f *.o *.mex make[1]: *** No rule to make target 'distclean'. make[1]: Leaving directory '/build/reproducible-path/octave-stk-2.8.1/src' dh_autoreconf_clean -O--buildsystem=octave dh_clean -O--buildsystem=octave debian/rules binary dh binary --buildsystem=octave dh_update_autotools_config -O--buildsystem=octave dh_autoreconf -O--buildsystem=octave dh_octave_version -O--buildsystem=octave Checking the Octave version... ok dh_auto_configure -O--buildsystem=octave dh_auto_build -O--buildsystem=octave dh_auto_test -O--buildsystem=octave create-stamp debian/debhelper-build-stamp dh_testroot -O--buildsystem=octave dh_prep -O--buildsystem=octave dh_auto_install --destdir=debian/octave-stk/ -O--buildsystem=octave octave --no-gui --no-history --silent --no-init-file --no-window-system /usr/share/dh-octave/install-pkg.m /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/lib/x86_64-linux-gnu/octave/packages make[1]: Entering directory '/build/reproducible-path/octave-stk-2.8.1/src' /usr/bin/mkoctfile --verbose --mex --output __stk_dist_pairwise__.mex stk_dist_pairwise.c /usr/bin/mkoctfile --verbose --mex --output __get_column_number__.mex get_column_number.c /usr/bin/mkoctfile --verbose --mex --output __stk_dist_matrixy__.mex stk_dist_matrixy.c /usr/bin/mkoctfile --verbose --mex --output __stk_filldist_discr_mex__.mex stk_filldist_discr_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dist_pairwise.c -o /tmp/oct-LIB1nk.o /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_matrixy__.mex stk_gpquadform_matrixy.c /usr/bin/mkoctfile --verbose --mex --output __stk_isdominated_mex__.mex stk_isdominated_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dist_matrixy.c -o /tmp/oct-Q2P3ND.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG get_column_number.c -o /tmp/oct-UuNgDj.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_filldist_discr_mex.c -o /tmp/oct-WDlKg4.o /usr/bin/mkoctfile --verbose --mex --output __stk_mindist_mex__.mex stk_mindist_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_gpquadform_matrixy.c -o /tmp/oct-wE9PHG.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_isdominated_mex.c -o /tmp/oct-jShodN.o /usr/bin/mkoctfile --verbose --mex --output __stk_dist_matrixx__.mex stk_dist_matrixx.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_mindist_mex.c -o /tmp/oct-LFsxE5.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dist_matrixx.c -o /tmp/oct-wr9X13.o /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_matrixx__.mex stk_gpquadform_matrixx.c /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_pairwise__.mex stk_gpquadform_pairwise.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_gpquadform_matrixx.c -o /tmp/oct-fq5uHN.o /usr/bin/mkoctfile --verbose --mex --output __stk_paretofind_mex__.mex stk_paretofind_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_gpquadform_pairwise.c -o /tmp/oct-i9seUA.o /usr/bin/mkoctfile --verbose --mex --output __stk_sampling_vdc_rr2__.mex stk_sampling_vdc_rr2.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_paretofind_mex.c -o /tmp/oct-TGZPxw.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_sampling_vdc_rr2.c -o /tmp/oct-aNKnH6.o g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dist_pairwise__.mex /tmp/oct-LIB1nk.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __get_column_number__.mex /tmp/oct-UuNgDj.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dist_matrixx__.mex /tmp/oct-wr9X13.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_mindist_mex__.mex /tmp/oct-LFsxE5.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_filldist_discr_mex__.mex /tmp/oct-WDlKg4.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dist_matrixy__.mex /tmp/oct-Q2P3ND.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_gpquadform_matrixx__.mex /tmp/oct-fq5uHN.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_gpquadform_pairwise__.mex /tmp/oct-i9seUA.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro /usr/bin/mkoctfile --verbose --mex --output __stk_sampling_sobol_mex__.mex stk_sampling_sobol_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_sampling_sobol_mex.c -o /tmp/oct-UPvjuy.o g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_gpquadform_matrixy__.mex /tmp/oct-wE9PHG.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro /usr/bin/mkoctfile --verbose --mex --output __stk_distrib_bivnorm0_cdf__.mex stk_distrib_bivnorm0_cdf.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_distrib_bivnorm0_cdf.c -o /tmp/oct-TP33Ln.o /usr/bin/mkoctfile --verbose --mex --output __stk_dominatedhv_mex__.mex stk_dominatedhv_mex.c wfg.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dominatedhv_mex.c -o /tmp/oct-BJM71A.o g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_isdominated_mex__.mex /tmp/oct-jShodN.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_sampling_vdc_rr2__.mex /tmp/oct-aNKnH6.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_paretofind_mex__.mex /tmp/oct-TGZPxw.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG wfg.c -o /tmp/oct-liKADZ.o g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_distrib_bivnorm0_cdf__.mex /tmp/oct-TP33Ln.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_sampling_sobol_mex__.mex /tmp/oct-UPvjuy.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dominatedhv_mex__.mex /tmp/oct-BJM71A.o /tmp/oct-liKADZ.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro make[1]: Leaving directory '/build/reproducible-path/octave-stk-2.8.1/src' copyfile /build/reproducible-path/octave-stk-2.8.1/./src/__get_column_number__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_dist_matrixx__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_dist_matrixy__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_dist_pairwise__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_distrib_bivnorm0_cdf__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_dominatedhv_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_filldist_discr_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_gpquadform_matrixx__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_gpquadform_matrixy__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_gpquadform_pairwise__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_isdominated_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_mindist_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_paretofind_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_sampling_sobol_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_sampling_vdc_rr2__.mex /build/reproducible-path/octave-stk-2.8.1/./inst/x86_64-pc-linux-gnu-api-v59 For information about changes from previous versions of the stk package, run 'news stk'. rm: cannot remove '/build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/doc': Is a directory dh_octave_check -O--buildsystem=octave Checking package... Run the unit tests... Checking m files ... [inst/arrays/@stk_dataframe/sind.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sind.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = sind (x); assert (strcmp (class (v), class (u)) && isequal (v, sind (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/ismember.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/ismember.m ***** shared u, x, u1, x1, u2, x2 u = rand (10, 4); x = stk_dataframe (u); x1 = x(1, :); u1 = double (x1); u2 = - ones (1, 4); x2 = stk_dataframe (u2); ***** assert (ismember (u1, x, 'rows')) ***** assert (ismember (x1, u, 'rows')) ***** assert (ismember (x1, x, 'rows')) ***** assert (~ ismember (u2, x, 'rows')) ***** assert (~ ismember (x2, u, 'rows')) ***** assert (~ ismember (x2, x, 'rows')) ***** test [b, idx] = ismember ([x2; x1; x1], x, 'rows'); assert (isequal (b, [false; true; true])); assert (isequal (idx, [0; 1; 1])) 7 tests, 7 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/ctranspose.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/ctranspose.m ***** test u = rand(3, 2) + 1i * rand(3, 2); data = stk_dataframe(u, {'x' 'y'}, {'obs1'; 'obs2'; 'obs3'}); data = data'; assert (isa(data, 'stk_dataframe') && isequal(double(data), u')); assert (isequal(data.rownames, {'x'; 'y'})); assert (isequal(data.colnames, {'obs1' 'obs2' 'obs3'})); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/length.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/length.m ***** error length (stk_dataframe ([1 2; 3 4; 5 6])) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_dataframe.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_dataframe.m ***** test stk_test_class ('stk_dataframe') ***** test % default constructor x = stk_dataframe (); assert (isa (x, 'stk_dataframe') && isequal (size (x), [0 0])) ***** test y = stk_dataframe (rand (3, 2)); assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) ***** test y = stk_dataframe (rand (3, 2), {'x', 'y'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) ***** test y = stk_dataframe (rand (3, 2), {'x', 'y'}, {'a', 'b', 'c'}); assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'})) ***** test x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x); assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) ***** error x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x, pi); ***** error x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x, {}, pi); ***** test x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x, {'x' 'y'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) ***** test x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x, {'x' 'y'}, {'a', 'b', 'c'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'})) ***** test x = stk_dataframe (rand (3, 2), {'x' 'y'}); y = stk_dataframe (x, [], {'a', 'b', 'c'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'})) ***** test x = stk_dataframe (rand (3, 2), {'x' 'y'}); y = stk_dataframe (x, {}, {'a', 'b', 'c'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {})) assert (isequal (y.rownames, {'a'; 'b'; 'c'})) ***** test x = stk_factorialdesign ({1:3, 1:2}, {'x' 'y'}); y = stk_dataframe (x, [], {'a' 'b' 'c' 'd' 'e' 'f'}); assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) ***** test x = stk_factorialdesign ({1:3, 1:2}, {}, {'a' 'b' 'c' 'd' 'e' 'f'}); y = stk_dataframe (x, {'x' 'y'}); assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) ***** test x = stk_factorialdesign ({1:3, 1:2}, {}, {'a' 'b' 'c' 'd' 'e' 'f'}); y = stk_dataframe (x, {'x' 'y'}, []); assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) ***** test x = stk_factorialdesign ({1:3, 1:2}, {'x' 'y'}, {'a' 'b' 'c' 'd' 'e' 'f'}); y = stk_dataframe (x); assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) ***** error x = stk_factorialdesign ({1:3, 1:2}); y = stk_dataframe (x, pi); ***** error x = stk_factorialdesign ({1:3, 1:2}); y = stk_dataframe (x, {}, pi); ***** test x = stk_dataframe ([], {'a', 'b'}); assert (isequal (size (x), [0 2])) assert (isequal (x.colnames, {'a' 'b'})); assert (isequal (x.rownames, {})); ***** test x = stk_dataframe ([], {'a', 'b'}, {'toto'}); assert (isequal (size (x), [1 2])) assert (isequal (x.colnames, {'a' 'b'})); assert (isequal (x.rownames, {'toto'})); ***** shared x ***** test x = stk_dataframe (randn (10, 1), 'NOx'); assert (isequal (x.colnames, {'NOx'})); ***** test y = stk_dataframe (x, 'toto'); assert (isequal (y.colnames, {'toto'})); ***** test x = stk_dataframe (randn (1, 2), {}, 'aaa'); assert (isequal (x.rownames, {'aaa'})); ***** test y = stk_dataframe (x, {}, 'tata'); assert (isequal (y.rownames, {'tata'})); 24 tests, 24 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/plus.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/plus.m ***** test stk_test_dfbinaryop(@plus, rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop(@plus, rand(7, 2), pi); ***** error stk_test_dfbinaryop(@plus, rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/subsasgn.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/subsasgn.m ***** shared x, s, t, data x = stk_dataframe (rand (3, 2)); s = {'a'; 'b'; 'c'}; t = {'xx' 'yy'}; ***** test x.rownames = s; assert (isequal (get (x, 'rownames'), s)) ***** test x.colnames = t; assert (isequal (get (x, 'rownames'), s)) assert (isequal (get (x, 'colnames'), t)) ***** test x.rownames{2} = 'dudule'; assert (isequal (get (x, 'rownames'), {'a'; 'dudule'; 'c'})) assert (isequal (get (x, 'colnames'), t)) ***** test x.colnames{1} = 'martha'; assert (isequal (get (x, 'rownames'), {'a'; 'dudule'; 'c'})) assert (isequal (get (x, 'colnames'), {'martha' 'yy'})) ***** test data = stk_dataframe (zeros(3, 2), {'x1' 'x2'}); u = rand(3, 1); data.x2 = u; assert (isequal (double (data), [zeros(3, 1) u])) ***** test data = stk_dataframe (zeros (3, 2), {'x1' 'x2'}); data.x2(3) = 27; assert (isequal (double (data), [0 0; 0 0; 0 27])) ***** error data.toto = rand (3, 1); ***** shared x x = stk_dataframe (reshape (1:12, 4, 3), {'u' 'v' 'w'}); ***** test x(:, 2) = []; assert (isequal (size (x), [4 2])) assert (isequal (double (x), [1 9; 2 10; 3 11; 4 12])) assert (isequal (get (x, 'colnames'), {'u' 'w'})) assert (isempty (get (x, 'rownames'))) ***** test x(2, :) = []; assert (isequal (size (x), [3 2])) assert (isequal (double (x), [1 9; 3 11; 4 12])) assert (isempty (get (x, 'rownames'))) ***** test x.rownames = {'a'; 'b'; 'c'}; x(2, :) = []; assert (isequal (size (x), [2 2])) assert (isequal (double (x), [1 9; 4 12])) assert (isequal (x.rownames, {'a'; 'c'})) ***** test % change one value with matrix-style indexing x(1, 2) = 11; assert (isequal (size (x), [2 2])) assert (isequal (double (x), [1 11; 4 12])) ***** test % change one value with linear indexing x(3) = 13; assert (isequal (size (x), [2 2])) assert (isequal (double (x), [1 13; 4 12])) ***** assert (isequal (double (x(:, :)), [1 13; 4 12])); ***** test % assignment to a variable that doesn't exist A = stk_dataframe (7.1); clear B; B(2) = A; assert (strcmp (class (B), 'stk_dataframe')) assert (isequal (B.data, [0 7.1])); ***** test % repmat x = stk_dataframe (1); y = repmat (x, 2, 3); assert (isa (y, 'stk_dataframe')); assert (isequal (y.data, ones (2, 3))); ***** test x(:, :) = []; assert (isempty (x)); ***** test % Delete the only row of a one-row dataframe y1 = stk_dataframe ([1.2 3.33], {'mean', 'var'}); y1(1, :) = []; % Remove the only row of data assert (isequal (size (y1), [0 2])) assert (isequal (y1.colnames, {'mean', 'var'})) y11 = get (y1, 'mean'); assert (isempty (y11)); ***** error x{1} = 2; ***** error x(1, 2) = []; ***** error x(1, 2).a = 3; ***** shared x x = stk_dataframe((1:5)'); ***** test x(2) = 0; assert (isequal (double (x), [1; 0; 3; 4; 5])); ***** test x(3) = []; assert (isequal (double (x), [1; 0; 4; 5])); ***** test x(3, 1) = 0; assert (isequal(double(x), [1; 0; 0; 5])); ***** error x(3, 1, 1) = 297; ***** test % create a new row and a new column through subsasgn() x = stk_dataframe (rand (5, 2)); x(6, 3) = 7; assert(isequal(size(x), [6, 3])); ***** test x = stk_dataframe ([]); x.colnames{2} = 'v'; x.rownames{2} = 'b'; assert (isequal (x.rownames, {''; 'b'})); assert (isequal (x.colnames, {'' 'v'})); assert (isequal (size (x.data), [2 2]) && (all (isnan (x.data(:))))) ***** shared x x = stk_dataframe (reshape (1:12, 4, 3), {'u' 'v' 'w'}); ***** test % change one column using ':', plain numeric argument y = [0; 9; 0; 9]; z = x; z(:, 2) = y; assert (isequal (z(:, 1), x(:, 1))); assert (isequal (z(:, 2).data, y)); ***** test % change one column using ':', skt_dataframe argument y = stk_dataframe ([0; 9; 0; 9], {'y'}); z = x; z(:, 2) = y; assert (isequal (z(:, 1), x(:, 1))); assert (isequal (z(:, 2), y)); ***** shared x x = stk_dataframe (reshape (1:12, 4, 3), [], {'a'; 'b'; 'c'; 'd'}); ***** test % change one row using ':', plain numeric argument y = [7 7 7]; z = x; z(3, :) = y; assert (isequal (z(1, :), x(1, :))); assert (isequal (z(3, :).data, y)); ***** test % change one row using ':', skt_dataframe argument y = stk_dataframe ([7 7 7], [], {'y'}); z = x; z(3, :) = y; assert (isequal (z(1, :), x(1, :))); assert (isequal (z(3, :), y)); ***** shared x x = stk_dataframe (zeros (2), {'u' 'v'}); ***** test % first column x(1:2) = 1; y = stk_dataframe ([1 0; 1 0], {'u' 'v'}); assert (isequal (x, y)); ***** test % one more element x(1:3) = 2; y = stk_dataframe ([2 2; 2 0], {'u' 'v'}); assert (isequal (x, y)); ***** error % too many elements x(1:5) = 3; ***** shared x x = stk_dataframe (randn (3, 3)); ***** test x.colnames{2} = 'y'; ***** assert (isequal (x.colnames, {'' 'y' ''})); ***** test x.rownames{2} = 'b'; ***** assert (isequal (x.rownames, {''; 'b'; ''})); 37 tests, 37 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_sprintf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_sprintf.m ***** shared x, fmt fmt = stk_disp_getformat (); x = stk_dataframe (rand (3, 2)); ***** test format rat; disp (x); : -------- -------- * : 0.244979 0.155076 * : 0.846825 0.153700 * : 0.161103 0.809742 ***** test format long; disp (x); : ---------------- ---------------- * : 0.24497867009580 0.15507568331247 * : 0.84682490522395 0.15370036015630 * : 0.16110254291333 0.80974159531175 ***** test format short; disp (x); format (fmt); : -------- -------- * : 0.244979 0.155076 * : 0.846825 0.153700 * : 0.161103 0.809742 ***** test disp (stk_dataframe (zeros (0, 1))) Empty data frame with 0 rows and 0 columns ***** test disp (stk_dataframe (zeros (0, 2))) Empty data frame with 0 rows and 0 columns 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/plot.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/plot.m ***** test % plot with x as a vector and z as a (univariate) dataframe x = linspace(0, 2*pi, 30)'; z = stk_dataframe(sin(x)); figure; plot(x, z); close(gcf); warning: using the gnuplot graphics toolkit is discouraged The gnuplot graphics toolkit is not actively maintained and has a number of limitations that are unlikely to be fixed. Communication with gnuplot uses a one-directional pipe and limited information is passed back to the Octave interpreter so most changes made interactively in the plot window will not be reflected in the graphics properties managed by Octave. For example, if the plot window is closed with a mouse click, Octave will not be notified and will not update its internal list of open figure windows. The qt toolkit is recommended instead. ***** test % plot with x as a vector and z as a (multivariate) dataframe x = linspace(0, 2*pi, 30)'; z = stk_dataframe([sin(x) cos(x)], {'sin' 'cos'}); figure; plot(x, z); close(gcf); ***** test % plot with x as a dataframe and z as a vector x = stk_dataframe(linspace(0, 2*pi, 30)'); z = sin(double(x)); figure; plot(x, z); close(gcf); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mean.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mean.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (mean(df1), mean(x1))) ***** assert (isequal (mean(df1, 1), mean(x1))) ***** assert (isequal (mean(df1, 2), mean(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/fieldnames.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/fieldnames.m ***** test x = stk_dataframe (rand (3, 2), {'u' 'v'}); assert (isequal (sort (fieldnames (x)), ... {'colnames'; 'data'; 'info'; 'rownames'; 'sample_size'; 'u'; 'v'})); ***** test x = stk_dataframe (rand (3, 2)); x.rownames(2:3) = {'aa', 'bb'}; x.colnames{2} = 'toto'; assert (isequal (fieldnames (x), ... {'toto'; 'aa'; 'bb'; 'data'; 'info'; ... 'rownames'; 'colnames'; 'sample_size'})); 2 tests, 2 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/median.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/median.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (median(df1), median(x1))) ***** assert (isequal (median(df1, 1), median(x1))) ***** assert (isequal (median(df1, 2), median(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/isinf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/isinf.m ***** test u = [pi, NaN, Inf, -Inf]; x = stk_dataframe (u); v = isinf (x); assert (islogical (v) && isequal (v, isinf (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/unique.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/unique.m ***** test cn = {'u' 'v' 'w'}; x = stk_dataframe (rand (4, 3), cn); y = [x; x]; z = unique (y, 'rows'); assert (isequal (z.colnames, cn)); assert (isequal (z.data, unique (x.data, 'rows'))); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/transpose.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/transpose.m ***** test u = rand(3, 2) + 1i * rand(3, 2); data = stk_dataframe(u, {'x' 'y'}, {'obs1'; 'obs2'; 'obs3'}); data = data.'; assert (isa(data, 'stk_dataframe') && isequal(double(data), u.')); assert (isequal(data.rownames, {'x'; 'y'})); assert (isequal(data.colnames, {'obs1' 'obs2' 'obs3'})); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/cosd.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cosd.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = cosd (x); assert (strcmp (class (v), class (u)) && isequal (v, cosd (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/minus.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/minus.m ***** test stk_test_dfbinaryop(@minus, rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop(@minus, rand(7, 2), pi); ***** error stk_test_dfbinaryop(@minus, rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/logical.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/logical.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = logical (x); assert (strcmp (class(v), 'logical') && isequal (v, logical (u))) ***** test u = (rand (4, 3) < 0.5); x = stk_dataframe (u); v = logical (x); assert (strcmp (class (v), 'logical') && isequal (v, u)) ***** test u = uint8 (rand (4, 3) * 5); x = stk_dataframe (u); v = logical (x); assert (strcmp (class (v), 'logical') && isequal (v, logical (u))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/end.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/end.m ***** shared x x = stk_dataframe ([1; 2; 3]); ***** assert (isequal (double (x(2:end, :)), [2; 3])) ***** assert (isequal (double (x(2:end)), [2; 3])) ***** assert (isequal (double (x(2, 1:end)), 2)) ***** assert (isequal (double (x(end)), 3)) ***** shared x x = stk_dataframe ([1 2; 3 4; 5 6]); ***** assert (isequal (x(2:end, :), x(2:3, :))) ***** assert (isequal (x(2, 1:end), x(2, :))) ***** assert (isequal (x(2:end, 2:end), x(2:3, 2))) ***** error x(1:end, 1:end, 1:end) 8 tests, 8 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/reshape.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/reshape.m ***** test x = stk_dataframe (randn (10, 3)); y = reshape (x, 5, 6); assert (isa (y, 'stk_dataframe') && isequal (size (y), [5 6])) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/tanh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/tanh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = tanh (x); assert (strcmp (class (v), class (u)) && isequal (v, tanh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sum.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sum.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (sum(df1), sum(x1))) ***** assert (isequal (sum(df1, 1), sum(x1))) ***** assert (isequal (sum(df1, 2), sum(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/tand.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/tand.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = tand (x); assert (strcmp (class (v), class (u)) && isequal (v, tand (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/log2.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log2.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = log2 (x); assert (strcmp (class (v), class (u)) && isequal (v, log2 (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/acos.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/acos.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = acos (x); assert (strcmp (class (v), class (u)) && isequal (v, acos (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_rescale.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_rescale.m ***** test u = rand(5, 1) * 2; x = stk_dataframe(u); y = stk_rescale(x, [0; 2], [0; 3]); assert (isa (y, 'stk_dataframe') && isequal(double(y), u * 3/2)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/power.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/power.m ***** test stk_test_dfbinaryop(@power, rand(7, 2), .1 + rand(7, 2)); ***** test stk_test_dfbinaryop(@power, rand(7, 2), .1); ***** error stk_test_dfbinaryop(@power, rand(7, 2), .1 + rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/quantile.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/quantile.m ***** shared x1, df1, p x1 = rand (9, 3); df1 = stk_dataframe (x1, {'a', 'b', 'c'}); p = 0.95; ***** assert (isequal (quantile (df1, p), quantile (x1, p))) ***** assert (isequal (quantile (df1, p, 1), quantile (x1, p))) ***** assert (isequal (quantile (df1, p, 2), quantile (x1, p, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/tan.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/tan.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = tan (x); assert (strcmp (class (v), class (u)) && isequal (v, tan (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/isfinite.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/isfinite.m ***** test u = [pi, NaN, Inf, -Inf]; x = stk_dataframe (u); v = isfinite (x); assert (islogical (v) && isequal (v, isfinite (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/prod.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/prod.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (prod(df1), prod(x1))) ***** assert (isequal (prod(df1, 1), prod(x1))) ***** assert (isequal (prod(df1, 2), prod(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/isnan.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/isnan.m ***** test u = [pi, NaN, Inf, -Inf]; x = stk_dataframe (u); v = isnan (x); assert (islogical (v) && isequal (v, isnan (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/bsxfun.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/bsxfun.m ***** shared x1, x2, data1, data2 x1 = rand (3, 2); data1 = stk_dataframe (x1); x2 = rand (3, 2); data2 = stk_dataframe (x2); ***** test z = bsxfun (@plus, data1, x2); assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) ***** test z = bsxfun (@plus, x1, data2); assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) ***** test z = bsxfun (@plus, data1, data2); assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) ***** shared x, y x = stk_dataframe (randn (2), {'x1', 'x2'}, {'a'; 'b'}); y = stk_dataframe (randn (2), {'y1', 'y2'}, {'c'; 'd'}); ***** test z = x + y; assert (isequal (z.colnames, x.colnames)); assert (isequal (z.rownames, x.rownames)); ***** test z = y + x; assert (isequal (z.colnames, y.colnames)); assert (isequal (z.rownames, y.rownames)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/abs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/abs.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = abs (x); assert (strcmp (class (v), class (u)) && isequal (v, abs (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/disp.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/disp.m ***** shared x, fmt fmt = stk_disp_getformat (); x = stk_dataframe (rand (3, 2)); ***** test format rat; disp (x); : -------- -------- * : 0.158439 0.243623 * : 0.925658 0.810073 * : 0.975674 0.201579 ***** test format long; disp (x); : ---------------- ---------------- * : 0.15843888830501 0.24362310538896 * : 0.92565765171532 0.81007268636390 * : 0.97567434449392 0.20157913937739 ***** test format short; disp (x); format (fmt); : -------- -------- * : 0.158439 0.243623 * : 0.925658 0.810073 * : 0.975674 0.201579 ***** test disp (stk_dataframe (zeros (0, 1))) Empty data frame with 0 rows and 0 columns ***** test disp (stk_dataframe (zeros (0, 2))) Empty data frame with 0 rows and 0 columns 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/atan.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/atan.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = atan (x); assert (strcmp (class (v), class (u)) && isequal (v, atan (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/expm1.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/expm1.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = expm1 (x); assert (strcmp (class (v), class (u)) && isequal (v, expm1 (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_length.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_length.m ***** test x = stk_dataframe ([1 2; 3 4; 5 6]); assert (isequal (stk_length (x), 3)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/ldivide.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/ldivide.m ***** test stk_test_dfbinaryop(@ldivide, 1 + rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop(@ldivide, 1 + rand(7, 2), pi); ***** error stk_test_dfbinaryop(@ldivide, 1 + rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mrdivide.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mrdivide.m ***** test x1_data = [8 7; 58 49]; x1 = stk_dataframe (x1_data, {'x' 'y'}, {'a'; 'b'}); x2_data = [8 7; 2 0]; x2 = stk_dataframe (x2_data, {'x' 'y'}, {'u'; 'v'}); y = x1 / x2; assert (stk_isequal_tolabs (y, ... stk_dataframe ([1 0; 7 1], {'u'; 'v'}, {'a'; 'b'}))); ***** shared x_data, x, y_data, y x_data = [3 3; 6 3; 9 12]; y_data = [1 1; 2 1; 3 4]; x = stk_dataframe (x_data, {'x' 'y'}, {'a'; 'b'; 'c'}); ***** test y = x / 3; ***** assert (isequal (y, stk_dataframe ([1 1; 2 1; 3 4], {'x' 'y'}, {'a'; 'b'; 'c'}))); ***** error y = 3 / x; 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/cosh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cosh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = cosh (x); assert (strcmp (class (v), class (u)) && isequal (v, cosh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/cos.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cos.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = cos (x); assert (strcmp (class (v), class (u)) && isequal (v, cos (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/log.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = log (x); assert (strcmp (class (v), class (u)) && isequal (v, log (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/asind.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/asind.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = asind (x); assert (strcmp (class (v), class (u)) && isequal (v, asind (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/atand.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/atand.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = atand (x); assert (strcmp (class (v), class (u)) && isequal (v, atand (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/max.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/max.m ***** test stk_test_dfbinaryop ('max', rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop ('max', rand(7, 2), pi); ***** error stk_test_dfbinaryop ('max', rand(7, 2), rand(7, 3)); ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (max(df1), max(x1))) ***** assert (isequal (max(df1, [], 1), max(x1))) ***** assert (isequal (max(df1, [], 2), max(x1, [], 2))) ***** error (max(df1, df1, 2)) ***** test x = stk_dataframe ([1; 3; 2]); [M, k] = max (x); assert ((M == 3) && (k == 2)); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sin.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sin.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = sin (x); assert (strcmp (class (v), class (u)) && isequal (v, sin (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mode.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mode.m ***** shared x1, df1 x1 = floor(3 * rand(9, 3)); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (mode(df1), mode(x1))) ***** assert (isequal (mode(df1, 1), mode(x1))) ***** assert (isequal (mode(df1, 2), mode(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_normalize.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_normalize.m ***** test u = rand (6, 2) * 2; x = stk_dataframe (u); y = stk_normalize (x); assert (isa (y, 'stk_dataframe') ... && stk_isequal_tolabs (double (y), stk_normalize (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/vertcat.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/vertcat.m ***** shared u, v u = rand (3, 2); v = rand (3, 2); ***** test x = stk_dataframe (u); y = stk_dataframe (v); z = vertcat (x, y); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); ***** test % the same, with row names this time x = stk_dataframe (u, {}, {'a'; 'b'; 'c'}); y = stk_dataframe (v, {}, {'d'; 'e'; 'f'}); z = vertcat (x, y); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); assert (all (strcmp (z.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'}))); ***** test % the same, with row names only for the first argument x = stk_dataframe (u, {}, {'a'; 'b'; 'c'}); y = stk_dataframe (v); z = vertcat (x, y); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); ***** test % incompatible variable names u = rand (3, 1); x = stk_dataframe (u, {'x'}); v = rand (3, 1); y = stk_dataframe (v, {'y'}); z = vertcat (x, y); assert (isequal (z.colnames, {})); warning: Incompatible column names ! The output of vertcat will have no column names. warning: called from vertcat at line 82 column 9 __test__ at line 5 column 4 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 406 column 31 ***** test x = stk_dataframe (u); z = vertcat (x, v); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); ***** test % the same, with row names for the first argument x = stk_dataframe (u, {}, {'a'; 'b'; 'c'}); z = vertcat (x, v); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); ***** test y = stk_dataframe (v); z = vertcat (u, y); assert (isa (z, 'stk_dataframe') && (isequal (double (z), [u; v]))); ***** test x = stk_dataframe (u); y = stk_dataframe (v); z = vertcat (x, y, u, v); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v; u; v])); ***** shared x, y x = stk_dataframe (rand (2, 3), {'a', 'b', 'c'}); y = stk_dataframe (rand (3, 2), {'a', 'b'}); y = horzcat (y, rand(3, 1)); % last column name is missing ***** test z = vertcat (x, y); assert (isequal (z.colnames, {'a' 'b' 'c'})) ***** test z = vertcat (y, x); assert (isequal (z.colnames, {'a' 'b' 'c'})) 10 tests, 10 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mldivide.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mldivide.m ***** test x1_data = [57 7; 2 0]; x1 = stk_dataframe (x1_data, {'x' 'y'}, {'a'; 'b'}); x2_data = [8 7; 2 0]; x2 = stk_dataframe (x2_data, {'w' 'z'}, {'a'; 'b'}); y = x2 \ x1; assert (stk_isequal_tolabs (y, ... stk_dataframe ([1 0; 7 1], {'x'; 'y'}, {'w'; 'z'}))); ***** shared x_data, x, y_data, y x_data = [3 3; 6 3; 9 12]; y_data = [1 1; 2 1; 3 4]; x = stk_dataframe (x_data, {'x' 'y'}, {'a'; 'b'; 'c'}); ***** test y = 3 \ x; ***** assert (isequal (y, stk_dataframe (y_data, {'x' 'y'}, {'a'; 'b'; 'c'}))); ***** error y = x \ 3; 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_boundingbox.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_boundingbox.m ***** shared x, y, cn cn = {'a', 'b', 'c'}; x = stk_dataframe ([0 3 2; 1 4 1; 7 0 2], cn); ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y, stk_hrect ([0 0 1; 7 4 2], cn))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_get_sample_size.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_get_sample_size.m ***** test x = stk_dataframe ([1 2; 3 4; 5 6]); assert (isequal (stk_get_sample_size (x), 3)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mtimes.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mtimes.m ***** shared x, y, z, w u = [1 3 4; 2 7 6]; % 2 x 3 v = [6 2; 1 7; 9 4]; % 3 x 2 w = [45 39; 73 77]; % u * v x = stk_dataframe (u, {}, {'a'; 'b'}); y = stk_dataframe (v, {'c' 'd'}); z = x * y; ***** assert (isa (z, 'stk_dataframe')); ***** assert (isequal (z.data, w)); ***** assert (isequal (z.rownames, x.rownames)); ***** assert (isequal (z.colnames, y.colnames)); ***** shared x, y x = stk_dataframe (rand (3, 2), {'x' 'y'}, {'a'; 'b'; 'c'}); ***** test y = 3 * x; ***** assert (isequal (y, stk_dataframe (3 * x.data, {'x' 'y'}, {'a'; 'b'; 'c'}))); ***** test y = x * 3; ***** assert (isequal (y, stk_dataframe (3 * x.data, {'x' 'y'}, {'a'; 'b'; 'c'}))); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/acosh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/acosh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = acosh (x); assert (strcmp (class (v), class (u)) && isequal (v, acosh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/asinh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/asinh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = asinh (x); assert (strcmp (class (v), class (u)) && isequal (v, asinh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/std.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/std.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (std(df1), std(x1))) ***** assert (isequal (std(df1, 0, 1), std(x1))) ***** assert (isequal (std(df1, 0, 2), std(x1, 0, 2))) ***** assert (isequal (std(df1, 1), std(x1, 1))) ***** assert (isequal (std(df1, 1, 1), std(x1, 1))) ***** assert (isequal (std(df1, 1, 2), std(x1, 1, 2))) 6 tests, 6 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/var.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/var.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (var(df1), var(x1))) ***** assert (isequal (var(df1, 0, 1), var(x1))) ***** assert (isequal (var(df1, 0, 2), var(x1, 0, 2))) ***** assert (isequal (var(df1, 1), var(x1, 1))) ***** assert (isequal (var(df1, 1, 1), var(x1, 1))) ***** assert (isequal (var(df1, 1, 2), var(x1, 1, 2))) 6 tests, 6 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/log10.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log10.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = log10 (x); assert (strcmp (class (v), class (u)) && isequal (v, log10 (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/times.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/times.m ***** test stk_test_dfbinaryop(@times, rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop(@times, rand(7, 2), pi); ***** error stk_test_dfbinaryop(@times, rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/horzcat.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/horzcat.m ***** shared u, v u = rand(3, 2); v = rand(3, 2); ***** test x = stk_dataframe(u, {'x1' 'x2'}); y = stk_dataframe(v, {'y1' 'y2'}); z = horzcat (x, y); assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); ***** test x = stk_dataframe(u, {'x1' 'x2'}, {'a'; 'b'; 'c'}); y = stk_dataframe(v, {'y1' 'y2'}); z = horzcat (x, y); assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); assert(all(strcmp(z.rownames, {'a'; 'b'; 'c'}))); ***** test x = stk_dataframe(u, {'x1' 'x2'}); y = stk_dataframe(v, {'y1' 'y2'}, {'a'; 'b'; 'c'}); z = horzcat (x, y); assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); assert(all(strcmp(z.rownames, {'a'; 'b'; 'c'}))); ***** test % incompatible row names x = stk_dataframe (u, {'x1' 'x2'}, {'a'; 'b'; 'c'}); y = stk_dataframe (v, {'y1' 'y2'}, {'a'; 'b'; 'd'}); z = horzcat (x, y); assert (isequal (z.rownames, {})); warning: Incompatible row names ! The output of horzcat will have no row names. warning: called from horzcat at line 73 column 9 __test__ at line 5 column 4 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 494 column 31 ***** test x = stk_dataframe (u); z = horzcat (x, v); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u v])); ***** test y = stk_dataframe (v); z = horzcat (u, y); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u v])); ***** test x = stk_dataframe(u, {'x1' 'x2'}); y = stk_dataframe(v, {'y1' 'y2'}); z = horzcat (x, y, u, v); assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v u v])); 7 tests, 7 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/double.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/double.m ***** test u = rand(4, 3); x = stk_dataframe(u); v = double(x); assert (strcmp(class(v), 'double') && isequal(v, u)) ***** test u = (rand(4, 3) < 0.5); x = stk_dataframe(u); v = double(x); assert (strcmp(class(v), 'double') && isequal(v, double(u))) ***** test u = uint8 (rand (4, 3) * 5); x = stk_dataframe(u); v = double(x); assert (strcmp(class(v), 'double') && isequal(v, double(u))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/subsref.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/subsref.m ***** shared x, s, t, data x = stk_dataframe(rand(3, 2)); s = {'a'; 'b'; 'c'}; t = {'xx' 'yy'}; ***** test x = set(x, 'rownames', s); assert (isequal (x.rownames, s)) assert (isequal (x.rownames{2}, 'b')) ***** test x = set(x, 'colnames', t); assert (isequal (x.rownames, s)) assert (isequal (x.colnames, t)) assert (isequal (x.colnames{2}, 'yy')) ***** shared u, data u = rand(3, 2); data = stk_dataframe(u, {'x1', 'x2'}); ***** assert (isequal (data.x2, u(:, 2))) ***** assert (data.x2(3) == u(3, 2)) ***** error t = data.toto; ***** error t = data(1, 1).zzz; % illegal multilevel indexing ***** error t = data(1, 1, 1); % too many indices ***** error t = data{1}; % curly braces not allowed ***** test % select rows and columns x = stk_dataframe (reshape (1:15, 5, 3), {'u' 'v' 'w'}); assert (isequal (x([3 5], 2), stk_dataframe ([8; 10], {'v'}))); ***** shared u, data u = rand(3, 1); data = stk_dataframe(u, {'x'}); ***** assert (isequal (data.x, u)) ***** assert (isequal (double (data), u)) ***** assert (isequal (double (data(2)), u(2))) ***** assert (isequal (double (data(3, 1)), u(3))) ***** error t = data(1, 1, 1); % too many indices ***** test x = stk_dataframe (randn (2, 2), {'u' 'v'}); y = x ([], :); assert (isa (y, 'stk_dataframe')); assert (isequal (size (y), [0 2])); assert (isequal (y.colnames, {'u' 'v'})); ***** test x = stk_dataframe (randn (2, 2), [], {'a' 'b'}); y = x (:, []); assert (isa (y, 'stk_dataframe')); assert (isequal (size (y), [2 0])); assert (isequal (y.rownames, {'a'; 'b'})); 16 tests, 16 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/log1p.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log1p.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = log1p (x); assert (strcmp (class (v), class (u)) && isequal (v, log1p (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/rdivide.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/rdivide.m ***** test stk_test_dfbinaryop(@rdivide, rand(7, 2), 1 + rand(7, 2)); ***** test stk_test_dfbinaryop(@rdivide, rand(7, 2), pi); ***** error stk_test_dfbinaryop(@rdivide, rand(7, 2), 1 + rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/min.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/min.m ***** test stk_test_dfbinaryop ('min', rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop ('min', rand(7, 2), pi); ***** error stk_test_dfbinaryop ('min', rand(7, 2), rand(7, 3)); ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (min(df1), min(x1))) ***** assert (isequal (min(df1, [], 1), min(x1))) ***** assert (isequal (min(df1, [], 2), min(x1, [], 2))) ***** error (min(df1, df1, 2)) ***** test x = stk_dataframe ([5; 2; 4]); [M, k] = min (x); assert ((M == 2) && (k == 2)); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/cat.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cat.m ***** shared u, v, x, y u = rand(3, 2); v = rand(3, 2); x = stk_dataframe(u); y = stk_dataframe(v); ***** test % vertical z = cat(1, x, y); assert(isa(z, 'stk_dataframe')); assert(isequal(double(z), [u; v])); ***** error z = cat(3, x, y); ***** test % horizontal y = stk_dataframe(v, {'y1' 'y2'}); z = cat(2, x, y); assert(isa(z, 'stk_dataframe')); assert(isequal(double(z), [u v])); assert(all(strcmp(z.colnames, {'' '' 'y1' 'y2'}))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/apply.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/apply.m ***** shared x, t, u t = rand (3, 2); x = stk_dataframe (t); ***** test u = apply (x, 1, @sum); ***** assert (isequal (u, sum (t, 1))) ***** test u = apply (x, 2, @sum); ***** assert (isequal (u, sum (t, 2))) ***** error u = apply (x, 3, @sum); ***** test u = apply (x, 1, @min, []); ***** assert (isequal (u, min (t, [], 1))) ***** test u = apply (x, 2, @min, []); ***** assert (isequal (u, min (t, [], 2))) ***** error u = apply (x, 3, @min, []); ***** test t = [1; 3; 2]; x = stk_dataframe (t); [M, k] = apply (x, 1, @max, []); assert ((M == 3) && (k == 2)); 11 tests, 11 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sort.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sort.m ***** shared x, y x = stk_dataframe ([3; 2; 1], {}, {'a', 'b', 'c'}); y = sort (x); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.data, [1; 2; 3])) ***** assert (isequal (y.rownames, {'c'; 'b'; 'a'})) ***** error y = sort (x, []); ***** assert (isequal (sort (x, 1), y)) ***** assert (isequal (sort (x, 2), x)) ***** error sort (x, 3) ***** error y = sort (x, [], 'ascend'); ***** assert (isequal (sort (x, 1, 'ascend'), y)) ***** assert (isequal (sort (x, 2, 'ascend'), x)) ***** error y = sort (x, 3, 'ascend'); ***** error y = sort (x, [], 'descend'); ***** assert (isequal (sort (x, 1, 'descend'), x)) ***** assert (isequal (sort (x, 2, 'descend'), x)) ***** error sort (x, 3, 'descend') 15 tests, 15 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sqrt.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sqrt.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = sqrt (x); assert (strcmp (class (v), class (u)) && isequal (v, sqrt (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/acosd.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/acosd.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = acosd (x); assert (strcmp (class (v), class (u)) && isequal (v, acosd (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sinh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sinh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = sinh (x); assert (strcmp (class (v), class (u)) && isequal (v, sinh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/exp.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/exp.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = exp (x); assert (strcmp (class (v), class (u)) && isequal (v, exp (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/size.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/size.m ***** shared x x = stk_dataframe([1 2; 3 4; 5 6]); ***** assert (isequal (size(x), [3 2])) ***** assert (numel(x) == 1) ***** assert (ndims(x) == 2) ***** test size(x); % force exploration of branch nargout == 0 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/asin.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/asin.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = asin (x); assert (strcmp (class (v), class (u)) && isequal (v, asin (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/atanh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/atanh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = atanh (x); assert (strcmp (class (v), class (u)) && isequal (v, atanh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/display.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/display.m ***** test display (stk_dataframe (rand (3, 2))); = <3x2 stk_dataframe array> : -------- -------- * : 0.382734 0.337795 * : 0.459925 0.797224 * : 0.911581 0.815551 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/realpow.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/realpow.m ***** test stk_test_dfbinaryop(@realpow, rand(7, 2), .1 + rand(7, 2)); ***** test stk_test_dfbinaryop(@realpow, rand(7, 2), .1); ***** error stk_test_dfbinaryop(@realpow, rand(7, 2), .1 + rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_rescale.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_rescale.m ***** shared x x = rand (10, 4); y = stk_rescale (x, [], []); assert (stk_isequal_tolabs (x, y)); ***** test y = stk_rescale(0.5, [], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 1], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 2], []); assert (stk_isequal_tolabs (y, 0.25)); ***** test y = stk_rescale (0.5, [0; 2], [0; 1]); assert (stk_isequal_tolabs (y, 0.25)); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_length.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_length.m ***** assert (isequal (stk_length ([1 2; 3 4; 5 6]), 3)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_normalize.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_normalize.m ***** shared x, box, y1, y2, y3, y4 n = 5; box = [2; 3]; x = box(1) + diff (box) * rand (n, 1); ***** error y1 = stk_normalize (); ***** test y2 = stk_normalize (x); ***** test y3 = stk_normalize (x, box); ***** test assert (~ any ((y2 < -10 * eps) | (y2 > 1 + 10 * eps))); ***** test assert (~ any ((y3 < -10 * eps) | (y3 > 1 + 10 * eps))); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_feval.m ***** shared f, xt f = @(x)(- (0.7 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); xt = stk_sampling_regulargrid (20, 1, [0; 1]); ***** error yt = stk_feval (); ***** error yt = stk_feval (f); ***** test yt = stk_feval (f, xt); ***** test yt = stk_feval (f, xt, false); ***** test yt = stk_feval (f, xt, false, false); ***** test yt = stk_feval (f, xt, false, false, false); ***** test N = 15; xt = stk_sampling_regulargrid (N, 1, [0; 1]); yt = stk_feval (f, xt); assert (isequal (size (yt), [N 1])); ***** test x = stk_dataframe ([1; 2; 3], {'x'}, {'a'; 'b'; 'c'}); y = stk_feval (@(u)(2 * u), x); assert (isequal (y.data, [2; 4; 6])); assert (isequal (y.rownames, {'a'; 'b'; 'c'})); ***** shared t, z_ref, n n = 20; t = stk_sampling_regulargrid (n, 1, [0; 2*pi]); z_ref = [sin(t.data) cos(t.data)]; ***** test t.colnames = {'time'}; z = stk_feval ({@sin, @cos}, t); assert (isa (z, 'stk_dataframe')); assert (isequal (z.data, z_ref)); ***** test F = @(x)([sin(x) cos(x)]); z = stk_feval (F, t); assert (isequal (z.data, z_ref)); ***** test t = stk_sampling_regulargrid (n, 1, [0; 2*pi]); F = {'sin', 'cos'}; z = stk_feval (F, t); assert (isequal (z.data, [sin(t.data) cos(t.data)])); assert (isequal (z.colnames, {'sin' 'cos'})); ***** test % vectorized F = @(t)([sin(t) cos(t)]); G = @(t)(0.365 * t.^2 + (cos ((t - 1).*(t - 2) + 0.579033))); z = stk_feval ({@sin, @cos, G, F, 'tan'}, t); assert (isequal (z.colnames, {'sin' 'cos' 'F3' 'F4_1' 'F4_2' 'tan'})); ***** test % not vectorized F = @(t)([sin(t) cos(t)]); G = @(t)(0.365 * t^2 + (cos ((t - 1)*(t - 2) + 0.579033))); z = stk_feval ({@sin, @cos, G, F, 'tan'}, t, [], [], false); assert (isequal (z.colnames, {'sin' 'cos' 'F3' 'F4_1' 'F4_2' 'tan'})); 13 tests, 13 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_boundingbox.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_boundingbox.m ***** shared x, y, cn cn = {'a', 'b', 'c'}; x = [0 3 2; 1 4 1; 7 0 2]; ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y.data, [0 0 1; 7 4 2])); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_get_sample_size.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_get_sample_size.m ***** assert (stk_get_sample_size ([1 2; 3 4; 5 6]) == 3); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/ismember.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/ismember.m ***** shared A, B, BB, b i_max = 10; n = 100; d = 5; A = randi (i_max, n, d); levels = repmat ({1:i_max}, 1, d); levels{4} = 1:2:i_max; B = stk_factorialdesign (levels); BB = double (B); ***** test b = ismember (A, B); ***** assert (isequal (b, ismember (A, BB))); ***** test b = ismember (A, B, 'rows'); ***** assert (isequal (b, ismember (A, BB, 'rows'))); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_dataframe.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_dataframe.m ***** shared x, cn, rn, y, cn2, rn2 cn = {'x' 'y'}; rn = {'a'; 'b'; 'c'; 'd'}; x = stk_factorialdesign ({1:2, 1:2}, cn, rn); cn2 = {'xx' 'yy'}; rn2 = {'aa'; 'bb'; 'cc'; 'dd'}; ***** test y = stk_dataframe (x); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, [], rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, {}, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, {})) ***** assert (isequal (y.rownames, rn2)) 20 tests, 20 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/fieldnames.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/fieldnames.m ***** test x = stk_factorialdesign ({0:1, 3:5}, {'u' 'v'}); fn1 = sort (fieldnames (x)); fn2 = {'colnames'; 'data'; 'info'; 'levels'; ... 'rownames'; 'sample_size'; 'stk_dataframe'; 'u'; 'v'}; assert (isequal (fn1, fn2)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_factorialdesign.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_factorialdesign.m ***** test stk_test_class ('stk_factorialdesign') ***** test % constructor with two factors + column names x = stk_factorialdesign ({[0 1], [1 2 3]}, {'a', 'b'}); assert (isequal(x.colnames, {'a', 'b'})); assert (isequal(get (x, 'colnames'), {'a', 'b'})); ***** error stk_factorialdesign ('bouh'); ***** error stk_factorialdesign ({{'a' 'b'}}); ***** shared x, fmt fmt = stk_disp_getformat (); x = stk_sampling_regulargrid (3^2, 2); ***** test format rat; disp (x); : --- --- * : 0.0 0.0 * : 0.5 0.0 * : 1.0 0.0 * : 0.0 0.5 * : 0.5 0.5 * : 1.0 0.5 * : 0.0 1.0 * : 0.5 1.0 * : 1.0 1.0 ***** test format long; disp (x); : --- --- * : 0.0 0.0 * : 0.5 0.0 * : 1.0 0.0 * : 0.0 0.5 * : 0.5 0.5 * : 1.0 0.5 * : 0.0 1.0 * : 0.5 1.0 * : 1.0 1.0 ***** test format short; disp (x); format (fmt); : --- --- * : 0.0 0.0 * : 0.5 0.0 * : 1.0 0.0 * : 0.0 0.5 * : 0.5 0.5 * : 1.0 0.5 * : 0.0 1.0 * : 0.5 1.0 * : 1.0 1.0 ***** test disp (stk_sampling_regulargrid (0^1, 1)); Empty data frame with 0 rows and 0 columns ***** test disp (stk_sampling_regulargrid (0^2, 2)); Empty data frame with 0 rows and 0 columns ***** test display (x); x = <9x2 stk_factorialdesign array> : --- --- * : 0.0 0.0 * : 0.5 0.0 * : 1.0 0.0 * : 0.0 0.5 * : 0.5 0.5 * : 1.0 0.5 * : 0.0 1.0 * : 0.5 1.0 * : 1.0 1.0 ***** error length (stk_sampling_regulargrid (7^2, 2)) % not defined ***** shared x x = stk_factorialdesign ({[0 1], [0 1]}); ***** assert (isequal (x(2:end, :), x(2:4, :))) ***** assert (isequal (x(2, 1:end), x(2, :))) ***** assert (isequal (x(2:end, 2:end), x(2:4, 2))) ***** error x(1:end, 1:end, 1:end) ***** shared x, y x = stk_sampling_regulargrid (3^2, 2); y = x; ***** test %%%% vercat z = vertcat (x, y); assert (strcmp (class (z), 'stk_dataframe')); assert (isequal (double (z), [double(x); double(y)])); ***** test %%%% same thing, using cat(1, ...) z = cat (1, x, y); assert (strcmp (class (z), 'stk_dataframe')); assert (isequal (double (z), [double(x); double(y)])); ***** test %%%% horzcat y.colnames = {'y1' 'y2'}; z = horzcat (x, y); assert (strcmp (class (z), 'stk_dataframe')); assert (isequal (double (z), [double(x) double(y)])); ***** test %%%% same thing, using cat (2, ...) z = cat (2, x, y); assert (strcmp (class (z), 'stk_dataframe')); assert (isequal (double (z), [double(x) double(y)])); ***** error cat (3, x, y) ***** shared x, t x = stk_sampling_regulargrid (3^2, 2); t = double (x); ***** assert (isequal (apply (x, 1, @sum), sum (t, 1))) ***** assert (isequal (apply (x, 2, @sum), sum (t, 2))) ***** error u = apply (x, 3, @sum); ***** assert (isequal (apply (x, 1, @min, []), min (t, [], 1))) ***** assert (isequal (apply (x, 2, @min, []), min (t, [], 2))) ***** error u = apply (x, 3, @min, []); ***** assert (isequal (min (x), min (t))) ***** assert (isequal (max (x), max (t))) ***** assert (isequal (std (x), std (t))) ***** assert (isequal (var (x), var (t))) ***** assert (isequal (sum (x), sum (t))) ***** assert (isequal (mean (x), mean (t))) ***** assert (isequal (mode (x), mode (t))) ***** assert (isequal (prod (x), prod (t))) ***** assert (isequal (median (x), median (t))) ***** shared x1, x2, x3, u1, u2, u3 x1 = stk_sampling_regulargrid ([4 3], 2); u1 = double (x1); x2 = stk_sampling_regulargrid ([3 4], 2); u2 = double (x2); x3 = x1 + 1; u3 = u1 + 1; ***** test z = bsxfun (@plus, x1, u2); assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) ***** test z = bsxfun (@plus, u1, x2); assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) ***** test z = bsxfun (@plus, x1, x2); assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) ***** test z = min (x1, x2); assert (isequal (double (z), min (u1, u2))); ***** test z = max (x1, x2); assert (isequal (double (z), max (u1, u2))); ***** error z = min (x1, x2, 1); ***** error z = max (x1, x2, 1); ***** test z = x1 + x2; assert (isequal (double (z), u1 + u2)); ***** test z = x1 - x2; assert (isequal (double (z), u1 - u2)); ***** test z = x1 .* x2; assert (isequal (double (z), u1 .* u2)); ***** test z = x3 .\ x2; assert (isequal (double (z), u3 .\ u2)); ***** test z = x2 ./ x3; assert (isequal (double (z), u2 ./ u3)); ***** test z = x3 .^ x2; assert (isequal (double (z), u3 .^ u2)); ***** test z = realpow (x3, x2); assert (isequal (double (z), realpow (u3, u2))); ***** test z = (x1 == x2); assert (isequal (double (z), (u1 == u2))); ***** test z = (x1 ~= x2); assert (isequal (double (z), (u1 ~= u2))); ***** test z = (x1 <= x2); assert (isequal (double (z), (u1 <= u2))); ***** test z = (x1 >= x2); assert (isequal (double (z), (u1 >= u2))); ***** test z = (x1 < x2); assert (isequal (double (z), (u1 < u2))); ***** test z = (x1 > x2); assert (isequal (double (z), (u1 > u2))); ***** test z = x1 & x2; assert (isequal (double (z), u1 & u2)); ***** test z = x1 | x2; assert (isequal (double (z), u1 | u2)); ***** test z = xor (x1, x2); assert (isequal (double (z), xor (u1, u2))); ***** shared x x = stk_factorialdesign ({[0 1], [0 1 2]}); ***** assert (strcmp (class (x'), 'stk_dataframe')) ***** assert (strcmp (class (x.'), 'stk_dataframe')) 60 tests, 60 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_rescale.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_rescale.m ***** test x = stk_factorialdesign ({[1 2], [5 6]}); y = stk_factorialdesign ({[0 3], [0 3]}); z = stk_rescale (x, [1 5; 2 6], [0 0; 3 3]); assert (stk_isequal_tolabs (y, z)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/ndgrid.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/ndgrid.m ***** shared data data = stk_factorialdesign ({[0 1], [5 6 7]}); ***** test % nargout = 0 ndgrid (data); assert (isequal (ans, [0 0 0; 1 1 1])); ***** test % nargout = 1 x = ndgrid (data); assert (isequal (x, [0 0 0; 1 1 1])); ***** test % nargout = 2 [x, y] = ndgrid (data); assert (isequal ({x, y}, {[0 0 0; 1 1 1], [5 6 7; 5 6 7]})); ***** error % nargout = 3 [x, y, z] = ndgrid (data); ***** test data = stk_factorialdesign ({[], []}); [x, y] = ndgrid (data); assert (isequal ({x, y}, {[], []})); ***** test data = stk_factorialdesign ({[1:3]}); x = ndgrid (data); assert (isequal (x, [1; 2; 3])); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/uminus.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/uminus.m ***** test x = stk_factorialdesign ({1:3, 1:2}); y = stk_factorialdesign ({-(1:3), -(1:2)}); assert (isequal (-x, y)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_normalize.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_normalize.m ***** test x = stk_factorialdesign ({[1 2], [5 6]}); y = stk_factorialdesign ({[0 1], [0 1]}); assert (stk_isequal_tolabs (stk_normalize (x), y)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_boundingbox.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_boundingbox.m ***** shared x, y, cn cn = {'a', 'b', 'c'}; x = stk_factorialdesign ({[1 2], [3 4 5], [0 2 8]}, cn); ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y, stk_hrect ([1 3 0; 2 5 8], cn))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/ismember.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/ismember.m ***** shared n, box n = 5; box = stk_hrect (n); ***** assert (ismember (box(1, :), box)) ***** assert (ismember (box(2, :), box)) ***** assert (ismember (.5 * ones (1, 5), box)) ***** assert (~ ismember (box(1, :) - 1, box)) ***** assert (~ ismember (box(2, :) + 1, box)) ***** test y = double (box); y = [y; y + 2]; assert (isequal (ismember (y, box), [1; 1; 0; 0])) 6 tests, 6 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_dataframe.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_dataframe.m ***** shared x, cn, rn, y, cn2, rn2 cn = {'x' 'y'}; rn = {'lower_bounds'; 'upper_bounds'}; x = stk_hrect ([0 0; 1 1], cn); cn2 = {'xx' 'yy'}; rn2 = {'aa'; 'bb'}; ***** test y = stk_dataframe (x); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, [], rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, {}, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, {})) ***** assert (isequal (y.rownames, rn2)) 20 tests, 20 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_rescale.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_rescale.m ***** shared x x = rand (10, 4); y = stk_rescale (x, [], []); assert (stk_isequal_tolabs (x, y)); ***** test y = stk_rescale(0.5, [], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 1], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 2], []); assert (stk_isequal_tolabs (y, 0.25)); ***** test y = stk_rescale (0.5, [0; 2], [0; 1]); assert (stk_isequal_tolabs (y, 0.25)); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_normalize.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_normalize.m ***** shared x, box, y1, y2, y3, y4 n = 5; box = stk_hrect ([2; 3]); x = 2 + rand (n, 1); ***** error y1 = stk_normalize (); ***** test y2 = stk_normalize (x); ***** test y3 = stk_normalize (x, box); ***** test assert (~ any ((y2 < -10 * eps) | (y2 > 1 + 10 * eps))); ***** test assert (~ any ((y3 < -10 * eps) | (y3 > 1 + 10 * eps))); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/vertcat.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/vertcat.m ***** shared d, x, y d = 10; x = stk_hrect (d); y = double (x); ***** test z = vertcat (x, x); assert (isequal (size (z), [4 d])); assert (strcmp (class (z), 'stk_dataframe')); ***** test z = vertcat (x, y); assert (isequal (size (z), [4 d])); assert (strcmp (class (z), 'stk_dataframe')); ***** test z = vertcat (y, x); assert (isequal (size (z), [4 d])); assert (strcmp (class (z), 'stk_dataframe')); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_hrect.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_hrect.m ***** test stk_test_class ('stk_hrect') ***** shared dom ***** test dom = stk_hrect ([-1; 1], {'x'}); ***** assert (isequal (dom.colnames, {'x'})) ***** assert (isequal (dom.rownames, {'lower_bounds'; 'upper_bounds'})) ***** assert (isequal (dom.data, [-1; 1])) 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_boundingbox.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_boundingbox.m ***** shared x, y lb = rand (1, 5); ub = lb + 1; cn = {'a', 'b', 'c', 'd', 'e'}; x = stk_hrect ([lb; ub], cn); ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y, x)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/horzcat.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/horzcat.m ***** shared d, x1, x2, x3 d = 10; x1 = stk_hrect (d); x2 = double (x1); x3 = [1:d; 0:(d-1)]; % illegal bounds ***** test y1 = horzcat (x1, x1); assert (isequal (size (y1), [2 2*d])); assert (strcmp (class (y1), 'stk_hrect')); ***** test y2 = horzcat (x1, x2); assert (isequal (size (y2), [2 2*d])); assert (strcmp (class (y2), 'stk_hrect')); ***** test y3 = horzcat (x2, x1); assert (isequal (size (y3), [2 2*d])); assert (strcmp (class (y3), 'stk_hrect')); ***** test lastwarn ('') y4 = horzcat (x1, x3); assert (isequal (size (y4), [2 2*d])); assert (strcmp (class (y4), 'stk_dataframe')); [warn_msg, warn_id] = lastwarn (); assert (strcmp (warn_id, 'STK:stk_hrect:horzcat:IllegalBounds')) warning: Illegal bounds, the result is not an stk_hrect object. warning: called from horzcat at line 47 column 9 __test__ at line 4 column 5 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 814 column 31 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/subsref.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/subsref.m ***** test B = stk_hrect ([0 0 0 0; 1 2 3 4]); B = B(:, [1 3 4]); assert (strcmp (class (B), 'stk_hrect')); assert (isequal (double (B), [0 0 0; 1 3 4])); ***** test B = stk_hrect ([0 0 0 0; 1 2 3 4]); B = B(1, :); assert (strcmp (class (B), 'stk_dataframe')); assert (isequal (double (B), [0 0 0 0])); 2 tests, 2 passed, 0 known failure, 0 skipped [inst/sampling/stk_halfpintl.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_halfpintl.m ***** test % case #1 a = 1; b = 1; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (a_out == 1) assert (b_out == 1) assert (isempty (z_out)) ***** test % case #2: two lines, slopes not equal, already sorted a = [1; -1]; b = [0; 2]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #3: same as #2, but not sorted a = [-1; 1]; b = [ 2; 0]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #4: two lines, equal slopes, already sorted a = [0; 0]; b = [1; 2]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (a_out == 0) assert (b_out == 1) assert (isempty (z_out)) ***** test % case #5: same as #4, but not sorted a = [0; 0]; b = [2; 1]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (a_out == 0) assert (b_out == 1) assert (isempty (z_out)) ***** test % case #6: add a dominated line to #2 (the result does not change) a = [1; -1; 0]; b = [0; 2; 1]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #7: permutation of #6 a = [1; 0; -1]; b = [0; 1; 2]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #8: another permutation of #6 a = [0; 1; -1]; b = [1; 0; 2]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #9: same as #8, with some duplicated lines added a = [0; 1; 0; -1; 0; -1; 1]; b = [1; 0; 1; 2; 1; 2; 0]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) 9 tests, 9 passed, 0 known failure, 0 skipped [inst/sampling/@stk_sampcrit_eqi/stk_sampcrit_eqi.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_sampcrit_eqi/stk_sampcrit_eqi.m ***** shared F, M, EQI M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); warning: Something went wrong during the optimization crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt ***** test F = stk_sampcrit_eqi () % ending ";" omitted on purpose, to test disp F = | | model: -- (not instantiated) | quantile_order: 0.5 | point_batch_size: 1 | current_minimum: Inf | ***** assert (isempty (F.model)) ***** assert (isempty (get (F, 'model'))) ***** assert (F.quantile_order == 0.5) ***** assert (get (F, 'quantile_order') == 0.5) ***** assert (F.current_minimum == +inf) ***** assert (get (F, 'current_minimum') == +inf) ***** error F.toto ***** error get (F, 'toto') ***** error F.current_min = 1.234; % read-only ***** error F = set (F, 'current_min', 1.234); % read-only ***** error F.toto = 1.234; % field does not exist ***** error F = set (F, 'toto', 1.234); % field does not exist ***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) ***** test F = set (F, 'quantile_order', 0.8); assert (F.quantile_order == 0.8) ***** error F.quantile_order = 1.1; ***** error F.quantile_order = -0.1; ***** error F.quantile_order = [1 2]; ***** error F.current_minimum = 3.333; % read-only ***** error F.quantile_value = 2.222; % read-only ***** error EQI = feval (F, 1.0); ***** test F = stk_sampcrit_eqi (); F.model = M; assert (~ isempty (F.model)); ***** test F = stk_sampcrit_eqi (); F = set (F, 'model', M); assert (~ isempty (F.model)); ***** test F.model = []; % remove model assert (isempty (F.model)); assert (F.current_minimum == +inf); ***** test F = stk_sampcrit_eqi (M) % ending ";" omitted on purpose, to test disp F = | | model: | quantile_order: 0.5 | point_batch_size: 1 | current_minimum: 1.234 | ***** assert (isequal (F.model, M)) ***** assert (stk_isequal_tolrel (F.current_minimum, 1.234, 10 * eps)); ***** test EQI = feval (F, [1.0; 1.1; 1.2]); ***** assert (isequal (size (EQI), [3 1])) ***** assert (all (EQI >= 0)) ***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) ***** shared F, M, EQI prior_model = stk_model (); prior_model.lognoisevariance = 0.678; M = stk_model_gpposterior (prior_model, [1 2 3]', [1.234 3 2]'); ***** test F = stk_sampcrit_eqi (M); ***** assert (isequal (F.model, M)) ***** assert (stk_isequal_tolrel (F.current_minimum, 2.077997, 1e-5)); ***** test EQI = feval (F, [1.0; 1.1; 1.2]); ***** assert (isequal (size (EQI), [3 1])) ***** assert (all (EQI >= 0)) ***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) ***** shared F ***** test F = stk_sampcrit_eqi (stk_model ()); ***** assert (F.current_minimum == +inf); ***** error feval (F, 1.0); ***** shared F, M M = stk_model_gpposterior (stk_model (), [1 2 3]', [1.234 3 2]'); warning: Something went wrong during the optimization crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt ***** error F = stk_sampcrit_eqi (M, [], 0); ***** error F = stk_sampcrit_eqi (M, [], 1.5); ***** error F = stk_sampcrit_eqi (M, [], nan); ***** error F = stk_sampcrit_eqi (M, [], [10 20]); ***** test F = stk_sampcrit_eqi (M, [], 10); ***** assert (isequal (F.quantile_order, 0.5)); ***** assert (isequal (F.point_batch_size, 10)); ***** error F = stk_sampcrit_eqi (M, 0.8, 0); ***** error F = stk_sampcrit_eqi (M, 0.8, 1.5); ***** error F = stk_sampcrit_eqi (M, 0.8, nan); ***** error F = stk_sampcrit_eqi (M, 0.8, [10 20]); ***** test F = stk_sampcrit_eqi (M, 0.8, 5); ***** assert (isequal (F.quantile_order, 0.8)); ***** assert (isequal (F.point_batch_size, 5)); ***** shared F, M, EQI prior_model = stk_model (); prior_model.lognoisevariance = 0.678; M = stk_model_gpposterior (prior_model, [1 2 3]', [1.234 3 2]'); F = stk_sampcrit_eqi (M); ***** test F.point_batch_size = 10; % numeric ***** assert (isequal (F.point_batch_size, 10)) ***** test EQI = feval (F, [1.0; 1.1; 1.2]); ***** test F.point_batch_size = @(x, n) 100 - n; % function handle ***** assert (isa (F.point_batch_size, 'function_handle')) ***** test EQI = feval (F, [1.0; 1.1; 1.2]); ***** test F.point_batch_size = 'sin'; % char ***** assert (isa (F.point_batch_size, 'function_handle')) 63 tests, 63 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampcrit_ei_eval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampcrit_ei_eval.m ***** error EI = stk_sampcrit_ei_eval () % not enough args ***** error EI = stk_sampcrit_ei_eval (0) % not enough args ***** shared xi, zi, M_prior, xt, zp, EIref, EI1, EI2, EI3 xi = [0; 0.2; 0.7; 0.9]; zi = [1; 0.9; 0.6; 0.1]; M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); xt = stk_sampling_regulargrid (20, 1, [0; 1]); zp = stk_predict (M_prior, xi, zi, xt); EIref = stk_distrib_normal_ei (min (zi), zp.mean, sqrt (zp.var), true); ***** test % Current syntax (STK 2.4.1 and later) EI1 = stk_sampcrit_ei_eval (zp.mean, sqrt (zp.var), min (zi)); ***** assert (isequal (EI1, EIref)) 4 tests, 4 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_olhs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_olhs.m ***** shared x, n, d, box, permut n = 5; d = 2; box = [0 0; 1, 1]; permut = 1:2; ***** error x = stk_sampling_olhs(); ***** test x = stk_sampling_olhs(n); ***** test x = stk_sampling_olhs(n, d); ***** test x = stk_sampling_olhs(n, d, box); ***** test x = stk_sampling_olhs(n, d, box, permut); ***** error x = stk_sampling_olhs(n, d, box, permut, pi); ***** assert (isa (x, 'stk_dataframe')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_olhs (n, d, box); assert (isequal (x.colnames, cn)); ***** test for r = 1:5 n = 2 ^ (r + 1) + 1; d = 2 * r; x = stk_sampling_olhs (n, d); assert (isequal (size (x), [n d])); box = repmat ([-1; 1], 1, d); assert (stk_is_lhs (x, n, d, box)); x = double (x); w = x' * x; assert (stk_isequal_tolabs (w / w(1,1), eye (d))); end 10 tests, 10 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampcrit_ehvi_eval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampcrit_ehvi_eval.m ***** shared zr, zi zr = [1 1]; zi = [0.25 0.75; 0.5 0.5; 0.75 0.25]; ***** test % no improvement (1 computation) zp_mean = [0.6 0.6]; zp_std = [0 0]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, 0, 1e-12)); ***** test % guaranteed improvement (1 computation) zp_mean = [0 0]; zp_std = [0 0]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, 10 * 0.25 ^ 2)); ***** test % no improvement again (2 computations) zp_mean = [0.5 0.5; 0.6 0.6]; zp_std = [0 0; 0 0]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, [0; 0], 1e-12)); ***** test % no observation -> EHVI wrt zr zp_mean = [0.6 0.6]; zp_std = 0.01 * [1 1]; zi = []; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, (1 - 0.6)^2, 1e-12)); ***** test % no observation below zr -> EHVI wrt zr zp_mean = [0.6 0.6]; zp_std = 0.01 * [1 1]; zi = [2 2]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, (1 - 0.6)^2, 1e-12)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_nesteddesign.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_nesteddesign.m ***** shared x, n, dim, box, niter, levels n = [23; 14; 5; 2]; dim = 2; box = [0, 0; 4, 4]; niter = 10; levels = [10.1; 15.2; -9.3; 2.4; 17.5]; ***** error x = stk_sampling_nesteddesign (); ***** test x = stk_sampling_nesteddesign (n); ***** test x = stk_sampling_nesteddesign (n, dim); ***** test x = stk_sampling_nesteddesign (n, dim, box); ***** test x = stk_sampling_nesteddesign (n, dim, box, niter); ***** test x = stk_sampling_nesteddesign (n, dim, box, niter, levels); ***** assert ( isequal(size(x), [sum(n), dim + 1]) ); ***** assert ( isa(x, 'stk_dataframe') ); cn = [0; cumsum(n)]; for lev = 1:length(n), y = x( (cn(lev) + 1):(cn(lev + 1)), 1:dim ); assert (isequal (size (y), [n(lev) dim])); if lev > 1 assert ( isequal(z((end - n(lev) + 1):end, :), y) ); end if lev == length(n) assert (stk_is_lhs (y, n(lev), dim, box)); end z = y; end ***** assert (isequal (x.colnames{dim + 1}, 'Level')); levels = stk_dataframe(levels, {'t'}); box = stk_hrect(box, {'x1', 'x2', 'x3', 'x4'}); ***** test x = stk_sampling_nesteddesign (n, [], box, [], levels); ***** assert (isequal(x.colnames, {'x1', 'x2', 'x3', 'x4', 't'}) ); 11 tests, 11 passed, 0 known failure, 0 skipped [inst/sampling/@stk_sampcrit_akg/stk_sampcrit_akg.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_sampcrit_akg/stk_sampcrit_akg.m ***** shared F, M, AKG M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); warning: Something went wrong during the optimization crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt ***** test F = stk_sampcrit_akg () % ending ";" omitted on purpose, to test disp F = | | model: -- (not instantiated) | reference_grid: -- (use current evaluation points) | ***** assert (isempty (F.model)) ***** assert (isempty (get (F, 'model'))) ***** assert (isempty (F.reference_grid)) ***** assert (isempty (get (F, 'reference_grid'))) ***** error F.toto ***** error get (F, 'toto') ***** error F.toto = 1.234; % field does not exist ***** error F = set (F, 'toto', 1.234); % field does not exist ***** error AKG = feval (F, 1.0); ***** test F = stk_sampcrit_akg (); F.model = M; assert (isequal (F.model, M)); ***** test F = stk_sampcrit_akg (); F = set (F, 'model', M); assert (isequal (F.model, M)); assert (isequal (size (F.zr_mean), [3 1])) % n x 1 assert (isequal (size (F.zr_std), [3 1])) % n x 1 assert (isequal (size (F.zr_lambdamu), [4 3])) % (n+1) x n (constant mean) ***** test F.model = []; % remove model assert (isempty (F.model)); assert (isempty (F.zr_mean)) assert (isempty (F.zr_std)) assert (isempty (F.zr_lambdamu)) ***** test xr = [1 1.5 2 2.5 3]'; F.reference_grid = xr % ending ";" omitted on purpose, to test disp assert (isequal (F.reference_grid, xr)) assert (isempty (F.zr_mean)) assert (isempty (F.zr_std)) assert (isempty (F.zr_lambdamu)) F = | | model: -- (not instantiated) | reference_grid: <5x1 double array> | ***** test F.reference_grid = []; assert (isempty (F.reference_grid)) ***** test F = stk_sampcrit_akg (); F.model = M; assert (isequal (F.model, M)); xr = [1 1.5 2 2.5 3]'; F.reference_grid = xr % ending ";" omitted on purpose, to test disp assert (isequal (F.reference_grid, xr)) assert (isequal (size (F.zr_mean), [5 1])) % nr x 1 assert (isequal (size (F.zr_std), [5 1])) % nr x 1 assert (isequal (size (F.zr_lambdamu), [4 5])) % (n+1) x nr (constant mean) F = | | model: | reference_grid: <5x1 double array> | ***** test F.reference_grid = []; assert (isempty (F.reference_grid)) ***** test F = stk_sampcrit_akg (M) % ending ";" omitted on purpose, to test disp F = | | model: | reference_grid: -- (use current evaluation points) | ***** assert (isequal (F.model, M)) ***** test AKG = feval (F, [1.0; 1.1; 1.2]); ***** assert (isequal (size (AKG), [3 1])) ***** assert (all (AKG >= 0)) ***** test [AKG2, zp] = feval (F, [1.0; 1.1; 1.2]); assert (isequal (AKG2, AKG)); assert (isa (zp, 'stk_dataframe') && isequal (size (zp), [3 2])) ***** shared F, xr xr = [1 1.5 2 2.5 3]'; ***** test F = stk_sampcrit_akg (stk_model ()); ***** assert (isempty (F.reference_grid)) ***** test F.reference_grid = xr; ***** assert (isequal (F.reference_grid, xr)) ***** assert (isempty (F.zr_mean)) ***** assert (isempty (F.zr_std)) ***** assert (isempty (F.zr_lambdamu)) ***** error AKG = feval (F, 1.0); ***** shared F, M, xr xr = [1 1.5 2 2.5 3]'; M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); warning: Something went wrong during the optimization crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt ***** test F = stk_sampcrit_akg (M, xr); ***** assert (isequal (F.model, M)) ***** assert (isequal (F.reference_grid, xr)) ***** assert (isequal (size (F.zr_mean), [5 1])) % nr x 1 ***** assert (isequal (size (F.zr_std), [5 1])) % nr x 1 ***** assert (isequal (size (F.zr_lambdamu), [4 5])) % (n+1) x nr (constant mean) 37 tests, 37 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_vdc_rr2.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_vdc_rr2.m ***** error __stk_sampling_vdc_rr2__() % two inputs required ***** error __stk_sampling_vdc_rr2__(10) % two inputs required ***** error __stk_sampling_vdc_rr2__(10, 3, -1) % two inputs required ***** test n = 300; j = 25; x = __stk_sampling_vdc_rr2__(n, j); assert(isequal(size(x), [n 1])) ***** test x = __stk_sampling_vdc_rr2__(2000, 7); y = double (x(1998:2000, :)); yref = [0.849786281294525; 0.085080398941584; 0.555668634235701]; assert(stk_isequal_tolrel(y, yref, 1e-13)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_randomlhs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_randomlhs.m ***** shared x, n, dim, box n = 10; dim = 2; box = [0, 0; 1, 1]; ***** error x = stk_sampling_randomlhs (); ***** test x = stk_sampling_randomlhs (n); ***** test x = stk_sampling_randomlhs (n, dim); ***** test x = stk_sampling_randomlhs (n, dim, box); ***** assert (isa(x, 'stk_dataframe')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_randomlhs (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:5, x = stk_sampling_randomlhs(n, dim); assert(isequal(size(x), [n dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); assert(stk_is_lhs(x, n, dim)); end 8 tests, 8 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_halton_rr2.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_halton_rr2.m ***** error stk_sampling_halton_rr2 () % nargin < 1 ***** test n = 300; d = 25; x = stk_sampling_halton_rr2 (n, d); assert (isequal (size (x), [n d])) ***** test x = stk_sampling_halton_rr2 (1000, 3); y = double (x(end, :)); yref = [0.9052734375 0.028349336991312 0.74848]; assert (stk_isequal_tolrel (y, yref, 1e-13)); ***** test dim = 2; box = stk_hrect (dim); x = stk_sampling_halton_rr2 (5, dim, box); assert (isequal (x.colnames, {})); ***** test dim = 2; cn = {'W', 'H'}; box = stk_hrect (dim, cn); x = stk_sampling_halton_rr2 (5, dim, box); assert (isequal (x.colnames, cn)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_maximinlhs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_maximinlhs.m ***** shared x, n, dim, box, niter n = 20; dim = 2; box = [0, 0; 1, 1]; niter = 1; ***** error x = stk_sampling_maximinlhs (); ***** test x = stk_sampling_maximinlhs (n); ***** test x = stk_sampling_maximinlhs (n, dim); ***** test x = stk_sampling_maximinlhs (n, dim, box); ***** test x = stk_sampling_maximinlhs (n, dim, box, niter); ***** assert (isa (x, 'stk_dataframe')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_maximinlhs (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:5, x = stk_sampling_randomlhs (n, dim); assert (isequal (size (x), [n dim])); u = double (x); u = u(:); assert (~ any (isnan (u) | isinf (u))); assert ((min (u) >= 0) && (max (u) <= 1)); assert (stk_is_lhs (x, n, dim)); end 9 tests, 9 passed, 0 known failure, 0 skipped [inst/sampling/@stk_sampcrit_ei/stk_sampcrit_ei.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_sampcrit_ei/stk_sampcrit_ei.m ***** shared F, M, EI M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); warning: Something went wrong during the optimization crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt ***** test F = stk_sampcrit_ei () % ending ";" omitted on purpose, to test disp F = | | model: -- (not instantiated) | current_minimum: Inf | ***** assert (isempty (F.model)) ***** assert (isempty (get (F, 'model'))) ***** assert (F.current_minimum == +inf) ***** assert (get (F, 'current_minimum') == +inf) ***** error F.toto ***** error get (F, 'toto') ***** error F.current_min = 1.234; % read-only ***** error F = set (F, 'current_min', 1.234); % read-only ***** error F.toto = 1.234; % field does not exist ***** error F = set (F, 'toto', 1.234); % field does not exist ***** error EI = feval (F, 1.0); ***** test F = stk_sampcrit_ei (); F.model = M; assert (~ isempty (F.model)); ***** test F = stk_sampcrit_ei (); F = set (F, 'model', M); assert (~ isempty (F.model)); ***** test F.model = []; % remove model assert (isempty (F.model)); assert (F.current_minimum == +inf); ***** test F = stk_sampcrit_ei (M) % ending ";" omitted on purpose, to test disp F = | | model: | current_minimum: 1.234 | ***** assert (isequal (F.model, M)) ***** assert (F.current_minimum == 1.234); ***** test EI = feval (F, [1.0; 1.1; 1.2]); ***** assert (isequal (size (EI), [3 1])) ***** assert (all (EI >= 0)) ***** shared F ***** test F = stk_sampcrit_ei (stk_model ()); ***** assert (F.current_minimum == +inf); ***** error feval (F, 1.0); 24 tests, 24 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_nestedlhs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_nestedlhs.m ***** shared x, n, dim, box, niter, levels n = [48; 12; 4; 2]; dim = 2; box = [0, 0; 4, 4]; niter = 10; levels = [10.1; 15.2; -9.3; 2.4; 17.5]; ***** error x = stk_sampling_nestedlhs (); ***** test x = stk_sampling_nestedlhs (n); ***** test x = stk_sampling_nestedlhs (n, dim); ***** test x = stk_sampling_nestedlhs (n, dim, box); ***** test x = stk_sampling_nestedlhs (n, dim, box, niter); ***** test x = stk_sampling_nestedlhs (n, dim, box, niter, levels); ***** assert ( isequal(size(x), [sum(n), dim + 1]) ); ***** assert ( isa(x, 'stk_dataframe') ); cn = [0; cumsum(n)]; for lev = 1:length(n), y = x( (cn(lev) + 1):(cn(lev + 1)), 1:dim ); assert (isequal (size (y), [n(lev) dim])); assert (stk_is_lhs (y, n(lev), dim, box)); if lev > 1 assert ( isequal(z((end - n(lev) + 1):end, :), y) ); end z = y; end ***** assert (isequal (x.colnames{dim + 1}, 'Level')); levels = stk_dataframe(levels, {'t'}); box = stk_hrect(box, {'x1', 'x2', 'x3', 'x4'}); ***** test x = stk_sampling_nestedlhs (n, [], box, [], levels); ***** assert (isequal(x.colnames, {'x1', 'x2', 'x3', 'x4', 't'}) ); 11 tests, 11 passed, 0 known failure, 0 skipped [inst/sampling/@stk_function/stk_function.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_function/stk_function.m ***** shared F ***** test F = stk_function () % ending ";" omitted on purpose, to test disp F = ***** error [F F]; % arrays of sampling criterion objects are not supported ***** error [F; F]; % idem ***** error get (F, 'toto'); % field does not exist ***** error y = feval (F, 1.0); % not implemented for "pure" function objects ***** error dummy = F{2}; % illegal indexing ***** error dummy = F(1.0); % feval not implemented ***** error dummy = F.toto; % field does not exist ***** error F{2} = 1.234; % illegal indexing ***** error F(5) = 1.234; % illegal indexing ***** error F.toto = 1.234; % field does not exist 11 tests, 11 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampcrit_akg_eval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampcrit_akg_eval.m ***** shared zc_mean, zc_std, zr_mean, zr_std, zcr_cov, AKG, nc xi = [0; 0.2; 0.7; 0.9]; zi = [1; 0.9; 0.6; 0.1] - 10; ni = 4; M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); M_prior.lognoisevariance = 0.678; nc = 20; xc = stk_sampling_regulargrid (nc, 1, [0; 1]); [zp, ~, ~, K] = stk_predict (M_prior, xi, zi, [xi; xc]); ir = 1:ni; ic = ni + (1:nc); zc_mean = zp.mean(ic); zc_std = sqrt (zp.var(ic)); % reference grid: current evaluation points ("KGCP") zr_mean = zp.mean(ir); zr_std = sqrt (zp.var(ir)); zcr_cov = K(ic, ir); ***** test AKG = stk_sampcrit_akg_eval (zc_mean, zc_std, zr_mean, zr_std, zcr_cov); ***** assert (isequal (size (AKG), [nc 1])) ***** assert (all (AKG >= 0)) ***** error AKG = stk_sampcrit_akg_eval (zc_mean, zc_std, zr_mean, zr_std); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_randunif.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_randunif.m ***** shared x, n, dim, box n = 10; dim = 2; box = [0, 0; 2, 2]; ***** error x = stk_sampling_randunif (); ***** test x = stk_sampling_randunif (n); ***** test x = stk_sampling_randunif (n, dim); ***** test x = stk_sampling_randunif (n, dim, box); ***** assert (isa(x, 'stk_dataframe')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_randunif (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:5, x = stk_sampling_randunif(n, dim); assert(isequal(size(x), [n dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); end 8 tests, 8 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_regulargrid.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_regulargrid.m ***** shared x, n, dim, box n = 9; dim = 2; box = [0, 0; 1, 1]; ***** error x = stk_sampling_regulargrid (); ***** test x = stk_sampling_regulargrid (n); ***** test x = stk_sampling_regulargrid (n, dim); ***** test x = stk_sampling_regulargrid (n, dim, box); ***** assert (isa (x, 'stk_dataframe')); ***** assert (isa (x, 'stk_factorialdesign')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_regulargrid (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:3, n = 3^dim; x = stk_sampling_regulargrid(n, dim); assert(isequal(size(x), [n dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); end ***** test nn = [3 4 5]; for dim = 1:3, x = stk_sampling_regulargrid(nn(1:dim), dim); assert(isequal(size(x), [prod(nn(1:dim)) dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); end 10 tests, 10 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc04.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc04.m ***** test stk_example_misc04; close all; #==========================# # stk_example_misc04 # #==========================# 'stk_example_misc04' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc04.m STK_EXAMPLE_MISC04 Pareto front simulation DESCRIPTION We consider a bi-objective optimization problem, where the objective functions are modeled as a pair of independent stationary Gaussian processes with a Matern 5/2 anisotropic covariance function. Figure (a): represent unconditional realizations of the Pareto front and and estimate of the probability of being non-dominated at each point of the objective space. Figure (b): represent conditional realizations of the Pareto front and and estimate of the posteriorior probability of being non-dominated at each point of the objective space. EXPERIMENTAL FUNCTION WARNING This script uses the stk_plot_probdom2d function, which is currently considered an experimental function. Read the help for more information. REFERENCE [1] Michael Binois, David Ginsbourger and Olivier Roustant, Quantifying uncertainty on Pareto fronts with Gaussian Process conditional simu- lations, European J. of Operational Research, 2043(2):386-394, 2015. See also: stk_plot_probdom2d Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. line 0: warning: iconv failed to convert degree sign multiplot> set style increment default; ^ line 0: warning: deprecated command Proba. of being dominated simulated Pareto fronts--| || | * *##+% *$+%&@=*@@@@@@@| ++---+---+--+---+-+ ++||00% | * *##+% *$+%& =* + | ||###|###|##|###|#| || 1000 +|+*#*###%#*$#%&#=*####+-+| 1000 +---+#+###+##+#+---+ || #|#*#*###%#*$#%&#=*##### | |#################| || #|#*#*###%#*$#%&#=*##### | |#################| || #|#*#*###%#*$#%&#=*##### | |#################| ++||5% 500 +|+*#*###%#*$#%&&=*&&&&&&&| 500 +---+##########+---+ || #|#*#*###%#*==%===*$$$$$$$| |#################| || #|#*#*###%#*%%%%%=*%%%%%%%| |#################| || #|#***########%%%%%%%second objective|#################| ++||0% 0 +|+##*#####*##$##=@@@@@@@@| +---+##########+---+ || #|###*#####***$***********| |#################| || #|###**#******$**=********| |#################| || #|############$##=########| |#################| || #|############$##=###### | -500 |#################| ++||5% -500 +|+###########$$$$$$$$$$$$| +---+##########+---+ || #|###################### | |#################| || #|########################| |+###+###+##+###+#| || #|------------------------| -1000 +|---|---|--|---|-+ || -1000 +-++####+####+###+####++-+ +---+-100001000+---+ ++-0% -2000-1000 0 1000 2000 first objective first objective 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc05.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc05.m ***** test stk_example_misc05; close all; assert (isa (model.lognoisevariance, 'stk_gaussiannoise_het0')); #==========================# # stk_example_misc05 # #==========================# 'stk_example_misc05' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc05.m STK_EXAMPLE_MISC05 Parameter estimation for heteroscedastic noise variance DESCRIPTION We consider a 1d prediction problem with noisy data, where the variance of the noise depends on the input location. A simple heteroscedastic model is used, where the only parameter to be estimated is a dispersion parameter (the square of a scale parameter). More preciesely, the variance of the noise is assumed to be of the form tau^2(x) = phi * (x + 1) ^ 2, and the dispersion parameter phi is estimated together with the parameters of the covariance function. EXPERIMENTAL FEATURE WARNING This script demonstrates an experimental feature of STK (namely, gaussian noise model objects). STK users that wish to experiment with it are welcome to do so, but should be aware that API-breaking changes are likely to happen in future releases. We invite them to direct any questions, remarks or comments about this experimental feature to the STK mailing list. See also: stk_example_kb09 Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov52_iso lm = dim = 1 param = 0.066833 0.707310 lognoisevariance = gn = | | Heteroscedastic variance model: tau^2(x) = dispersion * variance_function(x) | | dispersion: 2.4169 [log_dispersion = 0.8825] | variance_function: @(x) (x + 1) .^ 2 | 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc02.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc02.m ***** test stk_example_misc02; close all; #==========================# # stk_example_misc02 # #==========================# 'stk_example_misc02' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc02.m STK_EXAMPLE_MISC02 How to use priors on the covariance parameters A Matern covariance in dimension one is considered as an example. A Gaussian prior is used for all three parameters: log-variance, log-regularity and log- inverse-range. The corresponding parameter estimates are Maximum A Posteriori (MAP) estimates or, more precisely, Restricted MAP (ReMAP) estimates. Several values for the variance of the prior are successively considered, to illustrate the effect of this prior variance on the parameter estimates. When the variance is small, the MAP estimate is close to the mode of the prior. On the other hand, when the variance is large, the prior becomes "flat" and the MAP estimate is close to the ReML estimate (see figure b). Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. line 0: warning: iconv failed to convert degree sign | prior std = 10.00 | prior std = 1.00 3 +|+ 4 +|+ #### %|%## ####%%%% 3 +|+# ##%%%%% 2 +|+&&&%&&&%######%&&&&&&&& 2 +|+&&%##%%%######%%&&&&&&& 1 +|+#==GG==&&%###&&&######& 1 +|+#&&GG==&&%###&&&&#####& =|===&&&&====G=G=====predicted outpu| z===&&====G=G========== 0 +|+&&&##%&&&&&&&&&&######& 0 +|+&&&##%&&&&&&&&&&######& -1 +|+%#############%&&&&&&&& -1 +|+%#############%&&&&&&&& +|------------------------- -2 +|------------------------- -2 +-+##+####+####+####+### + -3 +-+##+####+####+####+####+ 0 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 1 | prior std = 0.20 | prior std = 0.01 6 +|+ 6 +|+ | ### | # 4 +|+#################%%%%%% 4 +|+##################%%%%% 2 +|+%####&&%######%&&&&&&&& 2 +|+#####%%########&&&&&&&& &|&&==GG=====&&======predicted outpu| z&=GG=====#%=========== 0 +|+==&###%&&=G=G&&&&#####& 0 +|+===####%&=G=G&&&&&&###& -2 +|+&%#############%&&&&&&& -2 +|+&###############%%&&&&& +|------------------------- +|------------------------- -4 +-+##+####+####+####+### + -4 +-+##+####+####+####+### + 0 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 1 input x input x 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc01.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc01.m ***** test stk_example_misc01; close all; #==========================# # stk_example_misc01 # #==========================# 'stk_example_misc01' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc01.m STK_EXAMPLE_MISC01 Several correlation functions from the Matern family The Matern 1/2 correlation function is also known as the "exponential correla- tion function". This is the correlation function of an Ornstein-Ulhenbeck pro- cess. The Matern covariance function tends to the Gaussian correlation function when its regularity (smoothness) parameter tends to infinity. See also: stk_materncov_iso, stk_materncov_aniso Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc03.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc03.m ***** test stk_example_misc03; close all; #==========================# # stk_example_misc03 # #==========================# 'stk_example_misc03' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc03.m STK_EXAMPLE_MISC03 How to deal with (known) seasonality Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov52_iso lm = dim = 1 param = 1.3128 -1.6669 lognoisevariance = -4.6813 model2 = scalar structure containing the fields: covariance_type = @stk_materncov52_iso lm = @(t) [ones(length (t), 1), sin(2 * pi * t / T0), cos(2 * pi * t / T0)] dim = 1 param = -9.6703 -8.1781 lognoisevariance = -4.6691 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe03.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe03.m ***** test stk_example_doe03; close all; #=========================# # stk_example_doe03 # #=========================# 'stk_example_doe03' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe03.m STK_EXAMPLE_DOE03 A simple illustration of 1D Bayesian optimization Our goal here is to optimize (maximize) the one-dimensional function x |--> x * sin (x) over the interval [0; 4 * pi]. A Matern 5/2 prior with known parameters is used. Evaluations points are chosen sequentially using the Expected Improvement (EI) criterion, starting from an initial design of N0 = 3 points. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. line 0: warning: iconv failed to convert degree sign | 15 +|+ 10 +|+ ####%%%%%%%%%%%##### ################ 5 +|+%&&&&&&&&&&&&&&&&&&&&&&%#######%===========&&&&&%%%##### 0 +|+*====F========########&&&&&#====&#########===##&&&&&&%%# z &|&***************************G***********************##&&&& -5 +|+&&&&&&##############====&&###&&&&&&############===*******G -10 +|+###%%&&&&&&&&&&&&&&&&%%#########%%&&&&&&&&&&&&&&&=======# -15 +|------------------------------------------------------------ -20 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 1 +|+ + + + + + +-+| +| ***F******** + + + + +| 0.8 +|+#**##########******####################################+-+| 0.6 +|+*##################***############***********##########+-+| EI 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10 12 x : x z x0(001) : 0.00000 0.00000 x0(002) : 6.00000 -1.67649 x0(003) : 12.00000 -6.43888 xg(057) : 1.68421 1.67339 xg(099) : 2.94737 0.56886 xg(282) : 8.45113 6.98861 xg(299) : 8.96241 3.99788 xg(268) : 8.03008 7.90589 xg(258) : 7.72932 7.66935 xg(265) : 7.93985 7.91060 xg(266) : 7.96992 7.91642 xg(145) : 4.33083 -4.01937 Number of evaluations: 3 + 9 = 12. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe02.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe02.m ***** test stk_example_doe02; close all; #=========================# # stk_example_doe02 # #=========================# 'stk_example_doe02' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe02.m STK_EXAMPLE_DOE02 "Sequential Maximin" design In this example, a two-dimensional space-filling design is progressively enriched with new points using a "sequential maximin" approach. More precisely, the k-th point X(k, :) is selected to maximize the distance to the set of all previously selected points X(1, :), X(2, :), ..., X(k-1, :). NOTES: * The resulting design is NOT optimal with respect to the maximin criterion (separation distance). * This procedure is not truly a *sequential* design procedure, since the choice of the k-th point X(k, :) does NOT depend on the response at the previously selected locations X(i, :), i < k. REFERENCE [1] Emmanuel Vazquez and Julien Bect, "Sequential search based on kriging: convergence analysis of some algorithms", In: ISI - 58th World Statistics Congress of the International Statistical Institute (ISI'11), Dublin, Ireland, August 21-26, 2011. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. line 0: warning: iconv failed to convert degree sign gnuplot> " font ":Bold,10" textcolor rgb " ^ line 0: invalid command |----------------------n = 10, fd = 2.97e-01-------------------------| 1 +|+ + + F + + +-+| +| + + + F + +| #|################################################################### | #|###############F################################################### | 0.8 +|+#################################################################+-+| #|###########################################F####################### | #|################################################################### | 0.6 +|+#F###############################################################+-+| #|#######################F########################################### | #|##############################################################F#### | 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failed to convert degree sign gnuplot> " font ":Bold,10" textcolor rgb " ^ line 0: invalid command |----------------------n = 19, fd = 2.14e-01-------------------------| 1 F|+ + + F + + +-F| +| + + + F + +| #|################################################################### | #|###############F################################################### | 0.8 +|+#################################################################+-F| #|###########################################F####################### | #|################################################################### | 0.6 +|+#F###############################################################+-+| #|#######################F########################################### | #|###############################################F##############F#### | #|################################################################### | 0.4 +|+#################################################################+-+| #|######################################F############################ | #|################################################################### | 0.2 +|+######F###############F##########################################+-+| #|#########################################################F######### | #|################################################################### | +|---------------------------------------------------------------------| 0 F-+###########+##F##########+#############+#####F#######+###########+-F 0 0.2 0.4 0.6 0.8 1 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe04.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe04.m ***** test stk_example_doe04; close all; #=========================# # stk_example_doe04 # #=========================# 'stk_example_doe04' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe04.m STK_EXAMPLE_DOE04 Probability of misclassification The upper panel shows posterior means and variances as usual, and the threshold of interest, which is at T = 0.85 (dashed line). The lower panel shows the probability of misclassification as a function of x (blue curve), i.e., the probability that the actual value of the function is not on the same side of the threshold as the prediction (posterior mean). We also plot the expected future probability of misclassification (magenta curve), should a new evaluation be made at x = 3. Note that both probabilities are obtained using stk_pmisclass. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe05.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe05.m ***** test stk_example_doe05; close all; #=========================# # stk_example_doe05 # #=========================# 'stk_example_doe05' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe05.m STK_EXAMPLE_DOE05 A simple illustration of 1D Bayesian optimization Our goal here is to minimize the one-dimensional function x |--> x * sin (x) over the interval [0; 4 * pi], using noisy evaluations. Evaluations points are chosen sequentially using either AKG criterion (default) or the EQI criterion (set SAMPCRIT_NAME to 'EQI'); Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. 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+|+################################################*###**#+*+| 0.01 +|-----------------------------------------------------------| 0 *******###**************************#***************###*##+-* 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 20 = 25. 20 +|+ 15 +|+ ####### ####%### 10 +|+&&&&&&&%%######################%%&&&&&&&%############### 5 +|+&#####&&&&&%#################%&&==========&&############ z G|***********===&&&&%%####%%%&&&==***********G*=&%######### 0 +|+=&#######***G****===&&&&=**G****####&&&&&&&&***&%####### G -5 +|+%&&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%%####%&**G*G%##GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+#####G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.05 +|+ + + + + + +-+| +| + + + + + F +| 0.04 +|+#################################################***##**-+| 0.03 +|+#################################################*#*##**-+| AKG #|##################################################*#*#*##* | 0.02 +|+#################################################*#*#*#+*+| 0.01 +|+################################################*###**#+*+| +|-----------------------------------------------------------| 0 ***************************************************####*##+-* 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 25 = 30. 20 +|+ 15 +|+ ####### ######## 10 +|+&&&&&&&%%######################%%&&&&&&&%############### 5 +|+&#####&&&&&%#################%&&==========&&############ z G|***********===&&&&%%####%%%&&&==***********G*=&&######### 0 +|+=&#######***G****===&&&&=**G****####&&&&&&&&***&&####### G -5 +|+%&&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%%####%&**G*G%##GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+#####G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.025 +|+ + + + + + +-+| +| + + + + + F ** +| 0.02 +|+##################################################**##**-+| 0.015 +|+#################################################*#*##**-+| AKG #|##################################################*#*##** | 0.01 +|+#################################################*#*#*#*-+| 0.005 +|+#################################################*##**#+*+| +|-----------------------------------------------------------| 0 ********#***********+######*************************###**#+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 30 = 35. 20 +|+ 15 +|+ ####### ######## 10 +|+&&&&&&&%%######################%%&&&&&&&%############### 5 +|+&#####&&&&&%#################%&&==========&&############ z G|***********===&&&&%%#####%%&&&==***********G*=&%######### 0 +|+=&#######***G****===&&&&=**G****####&&&&&&&&***&%####### G -5 +|+%%&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%%####%&**G*G###GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+#####G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.04 +|+ + + + + + +-+| +| + + + + + ** F* +| 0.03 +|+##################################################**##**-+| #|##################################################*#*#*#* | AKG0.02 +|+#################################################*#*#*#*-+| #|##################################################*##**##* | 0.01 +|+#################################################*##**#+*+| +|-----------------------------------------------------------| 0 ****************************************************###*##+-* 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 35 = 40. 20 +|+ 15 +|+ ####### ######## 10 +|+&&&&&&&%%######################%%&&&&&&&%############### 5 +|+&#####&&&&&%#################%&&==========&&############ z G|***********===&&&&%%#####%%&&&==***********G*=&%######### 0 +|+=&#######***G****===&&&&=**G****####&&&&&&&&***&%####### G -5 +|+%%&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%%####%&**G*G###GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+#####G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.04 +|+ + + + + + +-+| 0.035 +|+ + + + + + F +-+| 0.03 +|+##################################################**##**-+| 0.025 +|+##################################################**##**-+| AKG 0.02 +|+#################################################*#*#*#*-+| 0.015 +|+#################################################*##**#*-+| 0.01 +|+#################################################*##**#+*+| 0.005 +|-----------------------------------------------------------| 0 ****************************************************###*##+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 40 = 45. 20 +|+ 15 +|+ ####### ######## 10 +|+&&&&&&&%%######################%%&&&&&&&%############### 5 +|+&#####&&&&&%#################%&&==========&&############ z G|***********===&&&&%%#####%%&&&==***********G*=&%######### 0 +|+=&#######***G****===&&&&=**G****####&&&&&&&&***&%####### G -5 +|+%%&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%#####%&**G*G###GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+##G##G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.03 +|+ + + + + + +-+| 0.025 +|+ + + + + + F+-+| #|###################################################**##** | 0.02 +|+##################################################**##**-+| AKG0.015 +|+#################################################*#*#*#*-+| 0.01 +|+#################################################*#*#*#*-+| #|##################################################*##**#* | 0.005 +|-----------------------------------------------------------| 0 *********************#####**************************###*##+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 45 = 50. 20 +|+ 15 +|+ ####### ######## 10 +|+&&&&&&&%%######################%%&&&&&&&%############### 5 +|+&#####&&&&&%#################%&&==========&&############ z G|***********===&&&&%%#####%%&&&==***********G*=&%######### 0 +|+=&#######***G****===&&&&=**G****####&&&&&&&&***&%####### G -5 +|+%%&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%#####%&**G*G###GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+##G##G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.012 +|+ + + + + + +-+| 0.01 +|+ + + + + + F *+-+| #|###################################################**##** | 0.008 +|+##################################################**##**-+| AKG0.006 +|+##################################################**##**-+| 0.004 +|+##################################################**#*#*-+| #|##################################################*#***#* | 0.002 +|-----------------------------------------------------------| 0 ********##**********+######**************************##**#*** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 50 = 55. 20 +|+ 15 +|+######## ###%%### 10 +|+&&&&&&&%%######################%%&&&&&&&&############### 5 +|+&######&&&&%#################%&&==========&&%########### z G|***********===&&&&%%####%%%&&&==***********G*=&&######### 0 +|+=&#######***G****===&&&&=**G****#####&&&&&&&***&%####### G -5 +|+%&&&&&&&&&&&&&&&****G****&&&&&&&&&&&&&%%####%&**G*G###GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+##G##G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.02 +|+ + + + + + +-+| +| + + + + + +| 0.015 +|+######################################################F+-+| #|###################################################*##**# | AKG 0.01 +|+#################################################*#*#*#*-+| #|##################################################*#**##* | 0.005 +|+#################################################*#**##*-+| +|-----------------------------------------------------------| 0 ********##**********+##*##**************************###*##*** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 55 = 60. 20 +|+ 15 +|+######## ###%%### 10 +|+&&&&&&&%%######################%%&&&&&&&&############### 5 +|+&######&&&&%#################%&&==========&&%########### z G|***********===&&&&%%####%%%&&&==***********G*=&&######### 0 +|+=&#######***G****===&&&&=**G****#####&&&&&&&***&%####### G -5 +|+%&&&&&&&&&&&&&&&****G****&&&&&&&&&&&&&%%####%&**G*G###GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+##G##G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.014 +|+ + + + + + +-+| 0.012 +|+ + + + + + F **+-+| 0.01 +|+##################################################**#**+-+| 0.008 +|+#################################################*#*#*#*-+| AKG #|##################################################*#*#*#* | 0.006 +|+#################################################*#*#*#*-+| 0.004 +|+#################################################*##*##*-+| 0.002 +|-----------------------------------------------------------| 0 *******###**********+######*********#***************###*##*** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 60 = 65. 20 +|+ 15 +|+ ####### ###%%### 10 +|+&&&&&&&%%######################%%&&&&&&&&############### 5 +|+&######&&&&%#################%&&==========&&############ z G|***********===&&&&%%####%%%&&&==***********G*=&&######### 0 +|+=&#######***G****===&&&&=**G****#####&&&&&&&***&%####### G -5 +|+%&&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%%####%&**G*G###GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+##G##G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.012 +|+ + + + + + * F+-+| 0.01 +|+ + + + + + ** **+-+| #|##################################################*#*#**# | 0.008 +|+#################################################*#*#*#*-+| AKG0.006 +|+#################################################*#*#*#*-+| 0.004 +|+#################################################*#**##*-+| #|##################################################*##*##* | 0.002 +|-----------------------------------------------------------| 0 *******###**********+######*********#***************###*##*** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 65 = 70. 20 +|+ 15 +|+ ####### ###%%### 10 +|+&&&&&&&%%######################%%&&&&&&&&############### 5 +|+&######&&&&%#################%&&==========&&############ z G|***********===&&&&%%####%%%&&&==***********G*=&&######### 0 +|+=&#######***G****===&&&&=**G****#####&&&&&&&***&%####### G -5 +|+%&&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%%####%&**G*G###GG** -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+##G##G#G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.014 +|+ + + + + + +-+| 0.012 +|+ + + + + + F* **+-+| 0.01 +|+##################################################**#**+-+| 0.008 +|+#################################################*#*#*#*-+| AKG #|##################################################*#*#*#* | 0.006 +|+#################################################*##*##*-+| 0.004 +|+#################################################*##*##*-+| 0.002 +|-----------------------------------------------------------| 0 *******###**********+######*********#***************###*##**+ 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 70 = 75. 20 +|+ | ##%%%%### ##%%%%%## 10 +|+&&&&&&&&&%####################%&&&&====&&&%############# G|****#####&&&&&%%############%&&=====*******G=&%########## z 0 +|+===*********G**==&&&&&&&&&=G*******####&&&****&&######## #|%&&&&&&&&&&&&&&******G*******&&&&&&&&&&&%%##&&&**G&G###GG*G -10 +|+##%%%%%%%%####%&&&&&&&&&&&%##%%%%%%%##########%&G*GGG*GG*G +|------------------------------------------------------------ -20 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.014 +|+ + + + + + F+-+| 0.012 +|+ + + + + + ** **+-+| 0.01 +|+##################################################**#**+-+| 0.008 +|+#################################################*#*#*#*-+| AKG #|##################################################*#*#*#* | 0.006 +|+#################################################*##*##*-+| 0.004 +|+#################################################*##*##*-+| 0.002 +|-----------------------------------------------------------| 0 *******###**********+######*************************###*##**+ 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 75 = 80. 20 +|+ | ##%%%%### ##%%%%%## 10 +|+&&&&&&&&&%####################%&&&&====&&&%############# G|****#####&&&&&%%############%&&=====*******G=&%########## z 0 +|+===*********G**==&&&&&&&&&=G*******####&&&****&&######## #|%&&&&&&&&&&&&&&******G*******&&&&&&&&&&&%%##&&&**G&G###GG*G -10 +|+##%%%%%%%%####%&&&&&&&&&&&%##%%%%%%%##########%&G*GGG*GG*G +|------------------------------------------------------------ -20 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.012 +|+ + + + + + F* *+-+| 0.01 +|+ + + + + + ** **+-+| #|###################################################**#**# | 0.008 +|+#################################################*#*#*#*-+| AKG0.006 +|+#################################################*#*#*#*-+| 0.004 +|+#################################################*##*##*-+| #|##################################################*##*##* | 0.002 +|-----------------------------------------------------------| 0 *******###**********+######*********#***************###*##**+ 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 80 = 85. 20 +|+ | ##%%%%### ##%%%%%## 10 +|+&&&&&&&&&%####################%%&&&====&&&%############# G|****#####&&&&&%%############%&&====********G=&%########## z 0 +|+===*********G**==&&&&&&&&&=G*******###&&&&****&&######## #|%&&&&&&&&&&&&&&******G*******&&&&&&&&&&&%%##&&&**G&G###GG*G -10 +|+##%%%%%%%#####%&&&&&&&&&&&%###%%%%%%##########%&G*GGG*GG*G +|------------------------------------------------------------ -20 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.008 +|+ + + + + + F* *+-+| +| + + + + + ** ** +| 0.006 +|+##################################################**#**+-+| #|###################################################**#**# | AKG0.004 +|+#################################################*#*#*#*-+| #|##################################################*#*#*#* | 0.002 +|+#################***#***#########################*##*##*-+| +|-----------------------------------------------------------| 0 *******###+********#+######********###***************##*##*** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 85 = 90. 20 +|+ | ##%%%%### ##%%%%%## 10 +|+&&&&&&&&&%####################%&&&&====&&&%############# G|****#####&&&&&%%############%&&====********G=&%########## z 0 +|+===*********G**==&&&&&&&&&=G*******###&&&&****&&######## #|%&&&&&&&&&&&&&&******G*******&&&&&&&&&&&%%#%&&&**G&GG##GG*G -10 +|+###%%%%%%#####%&&&&&&&&&&&%###%%%%%%##########%&G*GGG*GG*G +|------------------------------------------------------------ -20 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.006 +|+ + + + + + +-+| 0.005 +|+ + + + + + F +-+| #|###################################################**#### | 0.004 +|+##################################################**##*+-+| AKG0.003 +|+##################################################**#**+-+| 0.002 +|+#################***#**###########################*#**#*-+| #|#####***#########**#***#*##########################*#**#* | 0.001 +|-----------------------------------------------------------| 0 ******####+********#+######********###***************##*##*** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 90 = 95. 20 +|+ | ##%%%%### #%%%%%%## 10 +|+&&&&&&&&&%####################%&&&&====&&&%############# G|****#####&&&&&%%############%&&=====*******G=&%########## z 0 +|+==**********G**==&&&&&&&&&=G********###&&&****&&######## #|%&&&&&&&&&&&&&&******G*******&&&&&&&&&&&%%##&&&**G&GG##GG*G -10 +|+##%%%%%%%%####%&&&&&&&&&&&%##%%%%%%%%#########%&G*GGG*GG*G +|------------------------------------------------------------ -20 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.004 +|+ + + + + + F +-+| +| + + + + + * +| 0.003 +|+##################################################**##*+-+| #|###################################################**#**# | AKG0.002 +|+#################**###############################*#***+-+| #|#####***##########***#***##########################*#***# | 0.001 +|+###**##*########*##***#**#######***###############*#**#*-+| +|-----------------------------------------------------------| 0 ******####+********#+######*******#####**************##*##*** 0 2 4 6 8 10 12 x : x z init001 : 0.00000 3.7039 init002 : 3.00000 -0.9473 init003 : 6.00000 -2.2710 init004 : 9.00000 3.4289 init005 : 12.00000 -9.2798 xg(186) : 11.15578 -14.9669 xg(179) : 10.73367 -11.6535 xg(190) : 11.39698 -9.4329 xg(200) : 12.00000 -2.5027 xg(171) : 10.25126 -6.1037 xg(171) : 10.25126 -10.1250 xg(171) : 10.25126 -6.7112 xg(193) : 11.57789 -12.8714 xg(183) : 10.97487 -11.6391 xg(195) : 11.69849 -10.0291 xg(177) : 10.61307 -7.3100 xg(077) : 4.58291 -6.5734 xg(178) : 10.67337 -10.1948 xg(192) : 11.51759 -8.0594 xg(192) : 11.51759 -6.1169 xg(178) : 10.67337 -8.2976 xg(191) : 11.45729 -7.0694 xg(178) : 10.67337 -9.4998 xg(191) : 11.45729 -10.3550 xg(178) : 10.67337 -10.2143 xg(192) : 11.51759 -11.8253 xg(177) : 10.61307 -7.0746 xg(192) : 11.51759 -9.2762 xg(177) : 10.61307 -7.0468 xg(192) : 11.51759 -9.1066 xg(178) : 10.67337 -8.3727 xg(191) : 11.45729 -9.6820 xg(178) : 10.67337 -10.4754 xg(191) : 11.45729 -9.4405 xg(178) : 10.67337 -12.3130 xg(191) : 11.45729 -8.4030 xg(178) : 10.67337 -11.5627 xg(191) : 11.45729 -10.6504 xg(178) : 10.67337 -7.3638 xg(191) : 11.45729 -10.2069 xg(178) : 10.67337 -8.0383 xg(191) : 11.45729 -7.1806 xg(178) : 10.67337 -9.6088 xg(191) : 11.45729 -9.0204 xg(178) : 10.67337 -14.8329 xg(191) : 11.45729 -11.4672 xg(178) : 10.67337 -11.7155 xg(191) : 11.45729 -11.2875 xg(178) : 10.67337 -13.1437 xg(191) : 11.45729 -7.0824 xg(178) : 10.67337 -10.9160 xg(191) : 11.45729 -7.0834 xg(184) : 11.03518 -12.4574 xg(189) : 11.33668 -11.1196 xg(190) : 11.39698 -9.4304 xg(189) : 11.33668 -10.8686 xg(189) : 11.33668 -9.8496 xg(189) : 11.33668 -8.9696 xg(189) : 11.33668 -10.7618 xg(178) : 10.67337 -9.2799 xg(178) : 10.67337 -10.6340 xg(189) : 11.33668 -10.3798 xg(189) : 11.33668 -7.0536 xg(189) : 11.33668 -11.2408 xg(178) : 10.67337 -11.8147 xg(189) : 11.33668 -8.4267 xg(178) : 10.67337 -9.3950 xg(189) : 11.33668 -9.9620 xg(178) : 10.67337 -8.1294 xg(189) : 11.33668 -10.0787 xg(178) : 10.67337 -12.9461 xg(189) : 11.33668 -15.8138 xg(178) : 10.67337 -7.0738 xg(178) : 10.67337 -12.4528 xg(189) : 11.33668 -7.3634 xg(189) : 11.33668 -8.2205 xg(178) : 10.67337 -7.2940 xg(189) : 11.33668 -11.3850 xg(178) : 10.67337 -9.8108 xg(189) : 11.33668 -9.7642 xg(178) : 10.67337 -8.3360 xg(178) : 10.67337 -10.5802 xg(189) : 11.33668 -9.6662 xg(189) : 11.33668 -11.3729 xg(178) : 10.67337 -8.5443 xg(178) : 10.67337 -9.6417 xg(178) : 10.67337 -11.4160 xg(189) : 11.33668 -12.5770 xg(178) : 10.67337 -7.2572 xg(179) : 10.73367 -6.3216 xg(179) : 10.73367 -12.0330 xg(179) : 10.73367 -14.4216 xg(189) : 11.33668 -11.3778 xg(189) : 11.33668 -10.0141 xg(189) : 11.33668 -14.6501 xg(179) : 10.73367 -7.8722 xg(179) : 10.73367 -10.7057 xg(179) : 10.73367 -8.6235 xg(180) : 10.79397 -10.7179 xg(179) : 10.73367 -10.0188 Number of evaluations: 5 + 95 = 100. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe06.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe06.m ***** test stk_example_doe06; close all; #=========================# # stk_example_doe06 # #=========================# 'stk_example_doe06' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe06.m STK_EXAMPLE_DOE06 Sequential design for the estimation of an excursion set In this example, we consider the problem of estimating the set Gamma = { x in X | f(x) > z_crit }, where z_crit is a given value, and/or its volume. In a typical "structural reliability analysis" problem, Gamma would represent the failure region of a certain system, and its volume would correspond to the probability of failure (assuming a uniform distribution for the input). A Matern 5/2 prior with known parameters is used for the function f, and the evaluations points are chosen sequentially using any of the sampling criterion described in [1] (see also [2], section 4.3). REFERENCE [1] B. Echard, N. Gayton and M. Lemaire (2011). AK-MCS: an active learning reliability method combining Kriging and Monte Carlo simulation. Structural Safety, 33(2), 145-154. [2] J. Bect, D. Ginsbourger, L. Li, V. Picheny and E. Vazquez (2012). Sequential design of computer experiments for the estimation of a probability of failure. Statistics and Computing, 22(3), 773-793. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. Volume (reference value): 20.30% data_init = <4x2 stk_dataframe array> : x z initial design #1 : 0.000000 0.00000 initial design #2 : 0.333333 -0.43063 initial design #3 : 0.666667 -0.66886 initial design #4 : 1.000000 -1.20558 line 0: warning: iconv failed to convert degree sign |-------------------------Groung truth----------------------------| 1 +|+ + + + + +-+| +| + + + + +| #|############################################################### | 0.5 +|+#############################################################+-+| #|############################################################### | #|############################################################### | $|$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$| 0 *|*****##***####***#######**#######**##########**########**#####+-+| #|####****########**#####**#########*##########*##########*###### | z #|#################***#***###########*########**##########**##### | -0.5 +|+##################***#############**######**############*####+-+| #|####################################**####**#############**#### | #|#####################################******###############**### | #|----------------------------+##############################**## | -1 +|***?***z = f(x), below zcrit|###############################*#+-+| #|###?###z = f(x), above zcrit|###############################*****| +|-----------------------------------------------------------------| -1.5 +-+##########+############+#############+############+##########+-+ 0 0.2 0.4 0.6 0.8 1 x Iteration #1 | Current sample size: n = 4 | Volume estimate (plugin): 0.00000 [ref: 0.20300] | Upper-bound on posterior std: 4.0808e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 4 +|+ ### | #%%%%%%%%%## ###%%%### ######## 2 +|+&&&&&&&&&&&&&&%#####%%&&&&&&&&&&&%#######%%&&&&&&&&%%### 0 +|+###F###################################################### z #|&&&&##########&***G*******************G*******************G -2 +|+%%&&&&&&&&&&&&%#####%&&&&&&&&&&&&&&%###%&&&&&&#####&&&&&& -4 +|+#####%%%%%##############%%%%%%%###########%%%&&&&&&&%%## +|------------------------------------------------------------ -6 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.4 +|+***F**** + + + + +-+| +|** **** + + + +| 0.3 +|*##########***##########################################+-+| #|#############**#########********######################### | criterion +|+#############**#######**######***######################+-+| #|###############*#####**##########**#########********##### | 0.1 +|+##############**####*############**######***######***##+-+| *|-----------------------------------------------------------| 0 *-+#########+#####*****#+###########+#******####+#######***** 0 0.2 0.4 0.6 0.8 1 x Iteration #2 | Current sample size: n = 5 | Volume estimate (plugin): 0.00000 [ref: 0.20300] | Upper-bound on posterior std: 3.0240e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 4 +|+ | ######## ######## 2 +|+##########%%#########%&&&&&&&&&&&%#######%%&&&&&&&&%%### 0 +|+########################################################## z #|%%%##%&&&&&&&&&***G*********F*********G*******************G -2 +|+####################%&&&&&&&&&&&&&&####%&&&&&&#####&&&&&& -4 +|+#########################%%%%%%###########%%%&&&&&&&%%## +|------------------------------------------------------------ -6 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.25 +|+ + + **F* + + +-+| +| + + *** *** + + +| 0.2 +|+######################**######***######################+-+| 0.15 +|+########*****########**#########*###########*****######+-+| #|########**###**#######*##########**########***###***##### | 0.1 +|**#####**#####*######**###########**######**#######**###+-+| 0.05 +|***####*######**#####*#############*#####**#########**##+-+| +|-----------------------------------------------------------| 0 **+#*****###+#####*****#+###########+#******####+########**** 0 0.2 0.4 0.6 0.8 1 x Iteration #3 | Current sample size: n = 6 | Volume estimate (plugin): 0.10010 [ref: 0.20300] | Upper-bound on posterior std: 2.8176e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 2 +|+ ####### 1 +|+ ###### #%%%# %%%%# ##%%%%%%%%%%# 0 +|+########################F################################# -1 +|+&&&&*************G***&&&&%###&===****G****########====&&&& z #|########%&&&&&&&%######################&&&****************G -2 +|+########################################%&&&&#######&&&&% -3 +|+##########################################%%&&&&&&&&&%%# -4 +|------------------------------------------------------------ -5 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + F * + + +-+| +| + + ** *** + + +| 0.4 +|+#######################***###*#*#######################+-+| 0.3 +|+######################**#*###*#**######################+-+| criterion #|######################**##*##**##*####################### | 0.2 +|+#####################*###**#*###**#####################+-+| 0.1 +|**###################**####*#*####*#####################+-+| +|-----------------------------------------------------------| 0 **+#******##+##*********+####***####+**********#+######****** 0 0.2 0.4 0.6 0.8 1 x Iteration #4 | Current sample size: n = 7 | Volume estimate (plugin): 0.11030 [ref: 0.20300] | Upper-bound on posterior std: 2.1125e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 2 +|+ ####### 1 +|+ #%%%%%%%%%%# 0 +|+#############################F############################ -1 +|+&&&&*************G**=&#######%==*****G*****#######====&&&& z #|########%&&&&&&&#######################&&&&***************G -2 +|+########################################%&&&&&######&&&&# -3 +|+###########################################%%&&&&&&&&%## -4 +|------------------------------------------------------------ -5 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + +* F + + +-+| +| + +* * + + +| 0.4 +|+######################*#####**#########################+-+| 0.3 +|+######################*#####***########################+-+| criterion #|#######################**####*#*######################### | 0.2 +|+#####################***####*#**#######################+-+| 0.1 +|**####################*#*####*##**######################+-+| +|-----------------------------------------------------------| 0 **+#*******#************+#******####***********#+######****** 0 0.2 0.4 0.6 0.8 1 x Iteration #5 | Current sample size: n = 8 | Volume estimate (plugin): 0.08850 [ref: 0.20300] | Upper-bound on posterior std: 1.9375e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 3 +|+ 2 +|+ ######## 1 +|+##########################################%%%&&&&&&%%### 0 +|+#######################F################################## z &|&&**G*************G****&######********G**************==&&&# -1 +|+#######&&&&&&&&%##################%%##%&&&&&#######******G -2 +|+#########################################%%&&&&&&&&&&&&&% -3 +|------------------------------------------------------------ -4 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + F + + +-+| +| + + * * + + +| 0.4 +|+######################**####*##########################+-+| 0.3 +|+######################**####*##########################+-+| criterion #|#######################**####*########################### | 0.2 +|+######################**####*#################**#######+-+| 0.1 +|**#####################**####*##############*********###+-+| +|-----------------------------------------------------------| 0 **+#******##+#***********#*******************###+#######***** 0 0.2 0.4 0.6 0.8 1 x Iteration #6 | Current sample size: n = 9 | Volume estimate (plugin): 0.08550 [ref: 0.20300] | Upper-bound on posterior std: 1.7665e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 3 +|+ 2 +|+ ######## 1 +|+###########################################%%&&&&&&%%### 0 +|+############################F############################# z &|&&**G*************G****#######********G**************==&&&# -1 +|+#######%&&&&&&%###################%%##%&&&&&#######******G -2 +|+#########################################%%&&&&&&&&&&&&&% -3 +|------------------------------------------------------------ -4 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + F + + +-+| +| + + * + + +| 0.4 +|+#######################*####*##########################+-+| 0.3 +|+#######################*####*##########################+-+| criterion #|########################*####*########################### | 0.2 +|+#######################*####*##########################+-+| 0.1 +|+#######################*####*##############*********###+-+| +|-----------------------------------------------------------| 0 **+#******##+#*******************************###+#######***** 0 0.2 0.4 0.6 0.8 1 x Iteration #7 | Current sample size: n = 10 | Volume estimate (plugin): 0.08580 [ref: 0.20300] | Upper-bound on posterior std: 1.8586e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 3 +|+ 2 +|+ ######## 1 +|+##########################################%%&&&&&&&%%### 0 +|+#######################F################################## z &|&&**G*************G****#######********G***************=&&&# -1 +|+#######%&&&&&&%###################%%##%&&&&&########*****G -2 +|+##########################################%&&&&&&&&&&&&&# -3 +|------------------------------------------------------------ -4 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + + + +-+| +| + + F + + +| 0.4 +|+#######################*###############################+-+| 0.3 +|+#######################*###############################+-+| criterion #|########################*################################ | 0.2 +|+#######################*#####################*****#####+-+| 0.1 +|+#######################*###################***###***###+-+| +|-----------------------------------------------------------| 0 **+#******##+#*******************************###+#######***** 0 0.2 0.4 0.6 0.8 1 x Iteration #8 | Current sample size: n = 11 | Volume estimate (plugin): 0.08590 [ref: 0.20300] | Upper-bound on posterior std: 1.8559e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 3 +|+ 2 +|+ ######## 1 +|+##########################################%%&&&&&&&%%### 0 +|+########################################################## z &|&&**G*************G****#######********G*********F*****=&&&# -1 +|+#######%&&&&&&%###################%%##%&&&&&########*****G -2 +|+##########################################%&&&&&&&&&&&&&# -3 +|------------------------------------------------------------ -4 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.2 +|+ + + + + +-+| +| + + + **F* +| 0.15 +|+############################################**##***####+-+| #|############################################**#####**#### | 0.1 +|+##########################################**#######*###+-+| #|**#######**################################*########**### | 0.05 +|***####******#############################**#########**#+-+| +|-----------------------------------------------------------| 0 **+#*****###+##*****************************####+########**** 0 0.2 0.4 0.6 0.8 1 x Iteration #9 | Current sample size: n = 12 | Volume estimate (plugin): 0.21180 [ref: 0.20300] | Upper-bound on posterior std: 2.2347e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1.5 +|+ 1 +|+ #### #|###########################################%&&&%&&&&&&%## 0.5 +|+&&###%&&&&&&%%#########*G**G*###########%==****G***#&&%# z 0 +|+###########################################F############## -0.5 +|+&&&&&************G***&########***&&&%%****&&%####%==***&% #|######%&&&####&&&&##############&*****G*&&&%########===***# -1 +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+###########+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + + F + ** +-+| +| + + + * + ** +| 0.4 +|+##########################################***#####**###+-+| 0.3 +|+##########################################*#*#####***##+-+| criterion #|###########################################*#*####**#*### | 0.2 +|+##########################################*#*####*##*##+-+| 0.1 +|+#########################################**#**###*##**#+-+| +|-----------------------------------------------------------| 0 **+#******##+#*******************************###****####***** 0 0.2 0.4 0.6 0.8 1 x Iteration #10 | Current sample size: n = 13 | Volume estimate (plugin): 0.21490 [ref: 0.20300] | Upper-bound on posterior std: 1.5658e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ 0.5 +|+ #%%%%%# #G***G%%### #|##################################################F######## 0 +|+***G*****##=====%#&****#####*G**######%***######&****&&% z -0.5 +|+&&%#&&&#*********G**&#########&***&&%G**&########%==***&% -1 +|+######&&&&&&&&&&################&*****#############&==***& #|#########%%%%%%######################################%===*G -1.5 +|------------------------------------------------------------ -2 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + + * + F +-+| +| + + + * + * +| 0.4 +|+#########################################*#######*#####+-+| 0.3 +|+#########################################*#######*#####+-+| criterion #|##########################################*######***##### | 0.2 +|+#########################################*######*#*####+-+| 0.1 +|+#########################################*######*#*####+-+| +|-----------------------------------------------------------| 0 **+#******##+#**************************************##******* 0 0.2 0.4 0.6 0.8 1 x Iteration #11 | Current sample size: n = 14 | Volume estimate (plugin): 0.20170 [ref: 0.20300] | Upper-bound on posterior std: 1.1316e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | ###### #*** 0.5 +|+&%####%&&&&&%##########*G**G#############&*G*&*G*####### 0 +|+#########################################F################ z %|&&&*G********#====&****#######***&#####&**&#######***&### -0.5 +|+#####&&####******G=&###########***&&&G**##########&**&&% -1 +|+######%&&&&&&&&&################&*****#############&****& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + + F + +-+| +| + + + * + * +| 0.4 +|+#########################################*######*######+-+| 0.3 +|+#########################################*######*######+-+| criterion #|##########################################*######*####### | 0.2 +|+#########################################*######*######+-+| 0.1 +|+#########################################**#####*######+-+| +|-----------------------------------------------------------| 0 **+#******##+#*********************************************** 0 0.2 0.4 0.6 0.8 1 x Iteration #12 | Current sample size: n = 15 | Volume estimate (plugin): 0.20270 [ref: 0.20300] | Upper-bound on posterior std: 9.7259e-02 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | ###### *** 0.5 +|+&%####%&&&&&%##########*G**G##############*G*&*G*####### 0 +|+################################################F######### z %|&&&*G********#====&****#######***&#####&**########***&### -0.5 +|+#####&&####******G=&###########***&&&G**##########&**&&% -1 +|+######%&&&&&&&&&################&*****#############&****& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + + + +-+| +| + 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+|+######%&&&&&&&&&################&*****#############&***&& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.35 +|+ + + + F + +-+| 0.3 +|+ + + + * + +-+| 0.25 +|+#########################################*#############+-+| 0.2 +|+#########################################*#############+-+| #|##########################################*############## | 0.15 +|+#########################################*######*######+-+| 0.1 +|**#######**###############################*######*######+-+| 0.05 +|-----------------------------------------------------------| 0 **+#******##+##********************************************** 0 0.2 0.4 0.6 0.8 1 x Iteration #14 | Current sample size: n = 17 | Volume estimate (plugin): 0.20300 [ref: 0.20300] | Upper-bound on posterior std: 9.3815e-02 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | ###### *** 0.5 +|+&%####%&&&&&%##########*G**G##############*G*&*G*####### 0 +|+################################################F######### z %|&&&*G********#====&****#######***&#####&**########***#### -0.5 +|+#####&&&###******G=&###########***&&&G**##########&**&%# -1 +|+######%&&&&&&&&&################&*****#############&***&& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.12 +|+ + + + + F +-+| 0.1 +|+ + + + + * +-+| #|#################################################*####### | 0.08 +|**#######**######################################*######+-+| 0.06 +|***#####****#####################################*######+-+| 0.04 +|*#*####**##**####################################*######+-+| #|##*####*####**###################################*####### | 0.02 +|-----------------------------------------------------------| 0 **+##****###+###********************************************* 0 0.2 0.4 0.6 0.8 1 x Iteration #15 | Current sample size: n = 18 | Volume estimate (plugin): 0.20300 [ref: 0.20300] | Upper-bound on posterior std: 9.3749e-02 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | ###### *** 0.5 +|+&%####%&&&&&%##########*G**G##############*G*&*G*####### 0 +|+F######################################################### z %|&&&*G********#====&****#######***&#####&**########***#### -0.5 +|+#####&&&###******G=&###########***&&&G**##########&**&%# -1 +|+######%&&&&&&&&&################&*****#############%***&& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.08 +|*F + + + + +-+| +|** ** + + + +| 0.06 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+|+######%&&&&&&&&&################&*****#############%***&& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.02 +|+ F* + + + +-+| +| *** + + + +| 0.015 +|+########*#**###########################################+-+| #|#########*##*############################################ | 0.01 +|+#######**##**##########################################+-+| #|########*####*########################################### | 0.005 +|+#######*####*##########################################+-+| +|-----------------------------------------------------------| 0 **********##+###********************************************* 0 0.2 0.4 0.6 0.8 1 x Iteration #17 | Current sample size: n = 20 | Volume estimate (plugin): 0.20300 [ref: 0.20300] | Upper-bound on posterior std: 1.1922e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | *** 0.5 +|+#######%%#%%%##########*G**G##############*G*&*G*####### 0 +|+#########F################################################ z #|##&*G**&&###&&****&****#######***&#####&**########***#### -0.5 +|+#############%&&*G*&###########***&&&G**##########&**&%# -1 +|+################################&*****#############%***&& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.35 +|+ + + + + +-+| 0.3 +|+ + + + + +-+| 0.25 +|+########*F*############################################+-+| 0.2 +|+########****###########################################+-+| #|#########****############################################ | 0.15 +|+#######*****###########################################+-+| 0.1 +|+#######*#*#**##########################################+-+| 0.05 +|-----------------------------------------------------------| 0 ***********#*##********************************************** 0 0.2 0.4 0.6 0.8 1 x Iteration #18 | Current sample size: n = 21 | Volume estimate (plugin): 0.20300 [ref: 0.20300] | Upper-bound on posterior std: 2.9104e-02 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | *** 0.5 +|+#######################*G**G##############*G*&*G*####### 0 +|+##########F############################################### z #|##&*G**&#####&****&****#######***&#####&**########***#### -0.5 +|+##############%&*G*&###########***&&&G**##########&**&%# -1 +|+################################&*****#############%***&& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.05 +|+ + + + + +-+| +| +F + + + +| 0.04 +|+##########**###########################################+-+| 0.03 +|+##########**###########################################+-+| #|###########**############################################ | 0.02 +|+##########**###########################################+-+| 0.01 +|+##########**###########################################+-+| +|-----------------------------------------------------------| 0 **************#********************************************** 0 0.2 0.4 0.6 0.8 1 x Iteration #19 | Current sample size: n = 22 | Volume estimate (plugin): 0.20300 [ref: 0.20300] | Upper-bound on posterior std: 7.7392e-05 [target: 5.000e-04] history = <22x5 stk_dataframe array> : x z vol_estim vol_err nmisclass initial design #1 : 0.000000 0.00000 NaN NaN NaN initial design #2 : 0.333333 -0.43063 NaN NaN NaN initial design #3 : 0.666667 -0.66886 NaN NaN NaN initial design #4 : 1.000000 -1.20558 0.0000 -0.2030 2030 MC point #04561 : 0.104156 -0.13301 0.0000 -0.2030 2030 MC point #08295 : 0.497600 0.26506 0.1001 -0.1029 1681 MC point #07112 : 0.446688 0.26125 0.1103 -0.0927 1415 MC point #08019 : 0.530475 0.00244 0.0885 -0.1145 1199 MC point #04402 : 0.426631 0.13161 0.0855 -0.1175 1175 MC point #04865 : 0.513959 0.15551 0.0858 -0.1172 1172 MC point #02982 : 0.429107 0.15026 0.0859 -0.1171 1171 MC point #05230 : 0.826869 0.43939 0.2118 0.0088 720 MC point #08438 : 0.767513 0.45115 0.2149 0.0119 119 MC point #00578 : 0.864370 0.01181 0.2017 -0.0013 13 MC point #02710 : 0.737750 0.16305 0.2027 -0.0003 3 MC point #01507 : 0.853767 0.15729 0.2030 0.0000 0 MC point #09267 : 0.736626 0.14971 0.2030 0.0000 0 MC point #02307 : 0.854312 0.15019 0.2030 0.0000 0 MC point #00630 : 0.042223 0.00842 0.2030 0.0000 0 MC point #00780 : 0.205790 0.14336 0.2030 0.0000 0 MC point #06412 : 0.196888 0.13531 0.2030 0.0000 0 MC point #09809 : 0.219862 0.13122 0.2030 0.0000 0 Final result: | Number of evaluations: 4 + 18 = 22. | Volume estimate (plugin): 20.3000% [ref: 20.3000%] 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe01.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe01.m ***** test stk_example_doe01; close all; #=========================# # stk_example_doe01 # #=========================# 'stk_example_doe01' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe01.m STK_EXAMPLE_DOE01 Examples of two-dimensional designs All designs are constructed on the hyper-rectangle BOX = [0; 2] x [0; 4]. Examples of the following designs are shown: a) Regular grid --> stk_sampling_regulargrid, b) "Maximin" latin hypercube sample --> stk_sampling_maximinlhs, c) RR2-scrambled Halton sequence --> stk_sampling_halton_rr2, d) Uniformly distributed random sample --> stk_sampling_randunif. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testfun_goldsteinprice.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_goldsteinprice.m ***** test % Use with nargin == 0 for visualisation stk_testfun_goldsteinprice (); close all; ***** assert (stk_isequal_tolabs ... (stk_testfun_goldsteinprice ([0, -1]), 3.0, 1e-12)) 2 tests, 2 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testfun_hartman4.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_hartman4.m ***** test x = [0.1873 0.1906 0.5566 0.2647 ; 0.18744768 0.19414868 0.558005333 0.26476409]; y = stk_testfun_hartman4 (x); assert (stk_isequal_tolabs (y, ... [-3.729722308557300; -3.729840440436292], 1e-15)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testcase_truss3.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testcase_truss3.m ***** shared tc, xd, n tc = stk_testcase_truss3 (); n = 5; xd = stk_sampling_randunif (n, [], tc.search_domain); ***** test v = stk_testfun_truss3_vol (xd, tc.constants); z = stk_testfun_truss3_bb (xd, tc.constants); assert (isequal (size (v), [n 1])); assert (isequal (size (z), [n 5])); ***** test F = stk_dataframe (zeros (n, 2), {'F1' 'F2'}); F(:, 1) = tc.constants.F1_mean + tc.constants.F1_std * randn (n, 1); F(:, 2) = tc.constants.F2_mean + tc.constants.F2_std * randn (n, 1); x = [xd F]; v = stk_testfun_truss3_vol (x, tc.constants); z = stk_testfun_truss3_bb (x, tc.constants); assert (isequal (size (v), [n 1])); assert (isequal (size (z), [n 5])); 2 tests, 2 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testfun_hartman6.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_hartman6.m ***** test x1 = [0.20169 0.150011 0.476874 0.275332 0.311652 0.657300]; y1 = -3.322368011391339; x2 = [0.20168952 0.15001069 0.47687398 0.27533243 0.31165162 0.65730054]; y2 = -3.322368011415512; y = stk_testfun_hartman6 ([x1; x2]); assert (stk_isequal_tolabs (y, [y1; y2], 1e-15)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testfun_hartman3.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_hartman3.m ***** test x1 = [0.1, 0.55592003, 0.85218259]; y1 = -3.862634748621772; x2 = [0.114614 0.554649 0.852547]; y2 = -3.862747199255087; y = stk_testfun_hartman3 ([x1; x2]); assert (stk_isequal_tolabs (y, [y1; y2], 1e-15)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb03.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb03.m ***** test stk_example_kb03; close all; #========================# # stk_example_kb03 # #========================# 'stk_example_kb03' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb03.m STK_EXAMPLE_KB03 Ordinary kriging in 2D An anisotropic Matern covariance function is used for the Gaussian Process (GP) prior. The parameters of this covariance function (variance, regularity and ranges) are estimated using the Restricted Maximum Likelihood (ReML) method. The mean function of the GP prior is assumed to be constant and unknown. This default choice can be overridden by means of the model.lm property. The function is sampled on a space-filling Latin Hypercube design, and the data is assumed to be noiseless. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. BOX = 2-dimensional hyper-rectangle (stk_hrect object): : x_1 x_2 lower_bounds : -5 0 upper_bounds : 10 15 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb07.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb07.m ***** test stk_example_kb07; close all; #========================# # stk_example_kb07 # #========================# 'stk_example_kb07' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb07.m STK_EXAMPLE_KB07 Simulation of sample paths from a Matern process Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. line 0: warning: iconv failed to convert degree sign |--Matern, nu = 0.5------| |--Matern, nu = 1.5------| 3 +|+ + *+ + +-+| 3 +|+ + + + +-+| 2 +|@% + *****# &&&$ ==+| 2 &|% *** ## +* +-+| @|@@#***********&&&==@**=@| *|&&***=***####&#**###**##| 1 @|###**#*****#####=##****=| 1 %|*****###*****=*##%=###*@| response z#|#######################response z#|###=##*#*=***###===@==**| -1 #|**###*#####@@@**#**#####| -1 +|#####***##@@*#&*********| *|*==#**##@@#%@%***%%### %| *|#==#####*####*#&&&##&&**| -2 +|------------------------| -2 +|------------------------| -3 +-+###+######+#####+###+-+ -3 +-+###+######+#####+###+-+ -1 -0.5 0 0.5 1 -1 -0.5 0 0.5 1 |--Matern, nu = 2.5------| |--Matern, nu = 10.0-----| 3 +|+ + + + +-+| 3 +|+ + + + +-+| 2 +|@@@ + *******$$+ +-+| 2 &|&&& + ***** ### +-+| =|==@@@@**$$$$$$*#####****| *|*******##*####****==****| 1 =|#=************##*#######| 1 *|***#%&######******#####*| response z#|*##############********response z+|%%**###***####==###&&&##| -1 *|##&##**&&@==&&%======@**| -1 #|%$*##**====#$####&$%$&&&| %|####**####@=====%#@@@# | @|#######@@@@@@@#$$$$### | -2 +|------------------------| -2 +|------------------------| -3 ***###+######+#####+###+-+ -3 +-+#@@@@#####+#####+###+-+ -1 -0.5 0 0.5 1 -1 -0.5 0 0.5 1 input variable x input variable x 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb06.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb06.m ***** test stk_example_kb06; close all; #========================# # stk_example_kb06 # #========================# 'stk_example_kb06' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb06.m STK_EXAMPLE_KB06 Ordinary kriging VS kriging with a linear trend The same dataset is analyzed using two variants of kriging. The left panel shows the result of ordinary kriging, in other words, Gaussian process interpolation assuming a constant (but unknown) mean. The right panel shows the result of adding a linear trend in the mean of the Gaussian process. The difference with the left plot is clear in extrapolation: the first predic- tor exhibits a "mean reverting" behaviour, while the second one captures an increasing trend in the data. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb01.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb01.m ***** test stk_example_kb01; close all; #========================# # stk_example_kb01 # #========================# 'stk_example_kb01' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb01.m STK_EXAMPLE_KB01 Ordinary kriging in 1D, with noiseless data This example shows how to compute ordinary kriging predictions on a one-dimensional noiseless dataset. The word 'ordinary' indicates that the mean function of the GP prior is assumed to be constant and unknown. A Matern covariance function is used for the Gaussian Process (GP) prior. The parameters of this covariance function are assumed to be known (i.e., no parameter estimation is performed here). Note that the kriging predictor, which is the posterior mean of the GP, interpolates the data in this noiseless example. See also: stk_example_kb01n, stk_example_kb02 Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov_iso lm = dim = 1 param = -0.6931 1.3863 0.9163 lognoisevariance = -Inf line 0: warning: iconv failed to convert degree sign | True function and observed data 1.5 +|+ | ****G** +--------------------+ #|#######***#####****#######################|***?***True function| 1 +|+####***##########***#####################+---G---Observations-+ #|####**##############**######################################### #|###**################**######################################## 0.5 +|+#**##################**###########################*****G###### #|*G######################**######################***######***### 0 +|*########################**####################G*##########***# G|##########################**#################***#############*** #|###########################**###############**#################** -0.5 +|+###########################**#############**################## * #|#############################**###########**################### #|##############################*G#########**#################### -1 +|+##############################***#####**###################### #|#################################*******####################### +|------------------------------------------------------------------ -1.5 +-+##############+###############+################+############## + -1 -0.5 0 0.5 1 input variable x 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb02.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb02.m ***** test stk_example_kb02; close all; #========================# # stk_example_kb02 # #========================# 'stk_example_kb02' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb02.m STK_EXAMPLE_KB02 Ordinary kriging in 1D with parameter estimation This example shows how to estimate covariance parameters and compute ordinary kriging predictions on a one-dimensional noiseless dataset. The model and data are the same as in stk_example_kb01, but this time the parameters of the covariance function are estimated using the Restricted Maximum Likelihood (ReML) method. See also: stk_example_kb01, stk_example_kb02n Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov_iso lm = dim = 1 param = -0.2108 2.3026 0.7562 lognoisevariance = -Inf line 0: warning: iconv failed to convert degree sign | True function and observed data 1.5 +|+ | ***G* +--------------------+ #|#######***#####***########################|***?***True function| 1 +|+#####**#########***######################+---G---Observations-+ #|####**#############***######################################### #|###**################**######################################## 0.5 +|+#**##################**############################***######## #|#G*####################**########################****##*G**#### #|**######################**#####################G**########***## F1 0 *|+########################**###################**############*** G|##########################**#################**###############** #|###########################**###############**#################** -0.5 +|+###########################**#############**################## #|#############################**###########*#################### #|##############################*G*#######**##################### -1 +|+###############################**#####**###################### #|#################################******######################## +|------------------------------------------------------------------ -1.5 +-+##############+###############+################+############## + -1 -0.5 0 0.5 1 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb01n.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb01n.m ***** test stk_example_kb01n; close all; #=========================# # stk_example_kb01n # #=========================# 'stk_example_kb01n' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb01n.m STK_EXAMPLE_KB01N Ordinary kriging in 1D, with noisy data This example shows how to compute ordinary kriging predictions on a one-dimensional noisy dataset. The Gaussian Process (GP) prior is the same as in stk_example_kb01. The observation noise is Gaussian and homoscedastic (constant variance). Its variance is assumed to be known. Note that the kriging predictor, which is the posterior mean of the GP, does NOT interpolate the data in this noisy example. See also: stk_example_kb01, stk_example_kb02n Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov_iso lm = dim = 1 param = -0.6931 1.3863 0.9163 lognoisevariance = -3.2189 line 0: warning: iconv failed to convert degree sign | True function and observed data 1.5 +|+ | G******* +--------------------+ #|#######***##G##G***#######################|***?***True function| 1 +|+####G**##########*G*#####################+---G---Observations-+ #|####**##############**######################################### #|###**################*G###########################G############ 0.5 G|+#**##################**###########################******G###G# #|*G######################**######################***###G##***### 0 +|*########################**####################**##########***# *|##########################**#################**G#############*** #|###########################**###############**#################*G -0.5 +|+#########################G#*G#############**################## * #|#############################**###########*G################### #|##############################**#G#######**#################### -1 +|+##############################***#####*G###################### #|#################################***G***####################### +|------------------------------------------------------------------ -1.5 +-+##############+###############+################+############## + -1 -0.5 0 0.5 1 input variable x 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb05.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb05.m ***** test stk_example_kb05; close all; #========================# # stk_example_kb05 # #========================# 'stk_example_kb05' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb05.m STK_EXAMPLE_KB05 Generation of conditioned sample paths A Matern Gaussian process model is used, with constant but unknown mean (ordinary kriging) and known covariance parameters. Given noiseless observations from the unknown function, a batch of conditioned sample paths is drawn using the "conditioning by kriging" technique. In short, this means that unconditioned sample path are simulated first (using stk_generate_samplepaths), and then conditioned on the observations by kriging (using stk_conditioning). Note: in this example, for pedagogical purposes, conditioned samplepaths are simulated in two steps: first, unconditioned samplepaths are simulated; second, conditioned samplepaths are obtained using conditioning by kriging. In practice, these two steps can be carried out all at once using stk_generate_samplepath (see, e.g., stk_example_kb09). See also: stk_generate_samplepaths, stk_conditioning, stk_example_kb09 Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb08.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb08.m ***** test stk_example_kb08; close all; #========================# # stk_example_kb08 # #========================# 'stk_example_kb08' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb08.m STK_EXAMPLE_KB08 Generation of conditioned sample paths made easy It has been demonstrated, in stk_example_kb05, how to generate conditioned sample paths using unconditioned sample paths and conditioning by kriging. This example shows how to do the same in a more concise way, letting STK take care of the details. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb02n.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb02n.m ***** test stk_example_kb02n; close all; #=========================# # stk_example_kb02n # #=========================# 'stk_example_kb02n' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb02n.m STK_EXAMPLE_KB02N Noisy ordinary kriging in 1D with parameter estimation This example shows how to estimate covariance parameters and compute ordinary kriging predictions on a one-dimensional noisy dataset. The model and data are the same as in stk_example_kb02, but this time the parameters of the covariance function and the variance of the noise are jointly estimated using the Restricted Maximum Likelihood (ReML) method. See also: stk_example_kb01n, stk_example_kb02 Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov_iso lm = dim = 1 param = -0.098610 2.302585 0.613435 lognoisevariance = -3.0915 True noise variance = 0.0400 Estimated noise variance = 0.0454 line 0: warning: iconv failed to convert degree sign | True function and noisy observed data 1.5 +|+ | G ***** +--------------------+ #|#######***##G##G**########################|***?***True function| 1 +|+####G**#########**G######################+---G---Observations-+ #|####**#############***######################################### #|###**################**######################################## 0.5 +|+#**##################G*##########################G#***######## G|#**####################**########################****#G**G*##G# #|*G######################**#####################***########***## F1 0 *|+########################**###################**############*** *|##########################**#################**G##############**G #|###########################**G##############**#################** -0.5 +|+#########################G#**#############**################## #|#############################**###########*G################### #|##############################***G######**##################### -1 +|+###############################**#####*G###################### #|#################################***G**######################## +|------------------------------------------------------------------ -1.5 +-+##############+###############+################+############## + -1 -0.5 0 0.5 1 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb09.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb09.m ***** test stk_example_kb09; close all; #========================# # stk_example_kb09 # #========================# 'stk_example_kb09' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb09.m STK_EXAMPLE_KB09 Generation of sample paths conditioned on noisy observations A Matern Gaussian process model is used, with constant but unknown mean (ordinary kriging) and known covariance parameters. Given noisy observations from the unknown function, a batch of conditioned sample paths is drawn using the "conditioning by kriging" technique (stk_generate_samplepaths function). See also: stk_generate_samplepaths, stk_conditioning, stk_example_kb05 Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/utils/stk_generate_samplepaths.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/utils/stk_generate_samplepaths.m ***** shared model, xi, zi, xt, n, nb_paths dim = 1; n = 50; nb_paths = 5; model = stk_model (@stk_materncov32_iso, dim); model.param = log ([1.0; 2.9]); xt = stk_sampling_regulargrid (n, dim, [-1.0; 1.0]); xi = [xt(1, :); xt(end, :)]; zi = [0; 0]; ***** error zsim = stk_generate_samplepaths (); ***** error zsim = stk_generate_samplepaths (model); ***** test zsim = stk_generate_samplepaths (model, xt); ***** test zsim = stk_generate_samplepaths (model, xt, nb_paths); ***** test zsim = stk_generate_samplepaths (model, xi, zi, xt); ***** test zsim = stk_generate_samplepaths (model, xi, zi, xt, nb_paths); ***** test zsim = stk_generate_samplepaths (model, xt); assert (isequal (size (zsim), [n, 1])); ***** test zsim = stk_generate_samplepaths (model, xt, nb_paths); assert (isequal (size (zsim), [n, nb_paths])); ***** test % duplicate simulation points zsim = stk_generate_samplepaths (model, [xt; xt], nb_paths); assert (isequal (size (zsim), [2 * n, nb_paths])); assert (isequal (zsim(1:n, :), zsim((n + 1):end, :))); ***** test % simulation points equal to observation points (noiseless model) % https://sourceforge.net/p/kriging/tickets/14/ zsim = stk_generate_samplepaths (model, xt, zeros (n, 1), xt); assert (isequal (zsim, zeros (n, 1))); 10 tests, 10 passed, 0 known failure, 0 skipped [inst/utils/stk_conditioning.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/utils/stk_conditioning.m ***** shared n, m, ni, xi_ind, lambda, zsim, zi n = 50; m = 5; ni = 10; xi_ind = 1:ni; lambda = 1/ni * ones (ni, n); % prediction == averaging zsim = ones (n, m); % const unconditioned samplepaths zi = zeros (ni, 1); % conditioning by zeros ***** error zsimc = stk_conditioning (); ***** error zsimc = stk_conditioning (lambda); ***** error zsimc = stk_conditioning (lambda, zi); ***** test zsimc = stk_conditioning (lambda, zi, zsim); ***** test zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); ***** test zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); assert (stk_isequal_tolabs (double (zsimc), zeros (n, m))); ***** test zi = 2 * ones (ni, 1); % conditioning by twos zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); assert (stk_isequal_tolabs (double (zsimc), 2 * ones (n, m))); ***** test DIM = 1; nt = 400; xt = stk_sampling_regulargrid (nt, DIM, [-1.0; 1.0]); NI = 6; xi_ind = [1 20 90 200 300 350]; xi = xt(xi_ind, 1); zi = (1:NI)'; % linear response ;-) % Carry out the kriging prediction at points xt model = stk_model (@stk_materncov52_iso); model.param = log ([1.0; 2.9]); [ignore_zp, lambda] = stk_predict (model, xi, [], xt); % Generate (unconditional) sample paths according to the model NB_PATHS = 10; zsim = stk_generate_samplepaths (model, xt, NB_PATHS); zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/set.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/set.m ***** shared M_post x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error value = get (M_post, 1.33); ***** error value = get (M_post, 'dudule'); ***** test value = get (M_post, 'prior_model'); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/stk_model_update.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_model_update.m ***** shared x_obs, z_obs, ref, M_prior, x_new, z_new, lnv_new [x_obs, z_obs, ref] = stk_dataset_twobumps ('noisy2'); M_prior = stk_model (@stk_materncov52_iso); M_prior.param = [-0.15; 0.38]; M_prior.lognoisevariance = 2 * log (ref.noise_std); x_new = [-0.79; -0.79]; z_new = [-0.69; -0.85]; lnv_new = ref.noise_std_func (x_new); ***** test % heteroscedastic M_prior.lognoisevariance = 2 * log (ref.noise_std); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); M_post = stk_model_update (M_post, x_new, z_new, lnv_new); ***** error % using lnv_new / homoscedastic M_prior.lognoisevariance = 0; M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); M_post = stk_model_update (M_post, x_new, z_new, lnv_new); % NOT OK ***** error % using lnv_new / noiseless M_prior.lognoisevariance = -inf; M_post = stk_model_gpposterior (M_prior, x_obs, z_obs) M_post = stk_model_update (M_post, x_new, z_new, lnv_new); % NOT OK ***** error % not using lnv_new / heteroscedastic M_prior.lognoisevariance = 2 * log (ref.noise_std); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); M_post = stk_model_update (M_post, x_new, z_new); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/stk_model_gpposterior.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_model_gpposterior.m ***** test stk_test_class ('stk_model_gpposterior') ***** shared M_prior, x_obs, z_obs x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); ***** test M_post = stk_model_gpposterior (); ***** test M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error M_post = stk_model_gpposterior (M_prior, x_obs, [z_obs; z_obs]); ***** error M_post = stk_model_gpposterior (M_prior, x_obs, [z_obs; z_obs], 3.441); ***** test % hidden feature kreq = stk_kreq_qr (M_prior, x_obs); M_post = stk_model_gpposterior (M_prior, {x_obs, kreq}, z_obs); ***** test % NaNs in prior_model.param DIM = 1; M = stk_model (@stk_materncov52_aniso, DIM); M.param = nan (2, 1); % this is currently the default x = stk_sampling_regulargrid (20, DIM, [0; 1]); y = sin (double (x)); zp = stk_predict (M, x, y, x); 7 tests, 7 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/stk_predict_leaveoneout.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_predict_leaveoneout.m ***** test % Check virtual Leave-One-Out formula n = 20; d = 1; x_obs = stk_sampling_regulargrid (n, d, [0; 2*pi]); z_obs = stk_feval (@sin, x_obs); lm_list = {stk_lm_null, stk_lm_constant, stk_lm_affine}; for j = 0:2 for k = 1:(length (lm_list)) model = stk_model (@stk_materncov32_iso, d); model.lm = lm_list{k}; model.param = log ([1; 5]); switch j % test various scenarios for lognoisevariance case 0 model.lognoisevariance = -inf; case 1 model.lognoisevariance = 0; case 2 model.lognoisevariance = (1 + rand (n, 1)) * 1e-3; end M_post = stk_model_gpposterior (model, x_obs, z_obs); [loo_pred, loo_res] = stk_predict_leaveoneout (M_post); [direct_pred, direct_res] = stk_predict_leaveoneout_direct (M_post); assert (stk_isequal_tolrel (loo_pred, direct_pred)); assert (stk_isequal_tolrel (loo_res, direct_res)); end end 1 test, 1 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/get.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/get.m ***** shared M_post x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error value = get (M_post, 1.33); ***** error value = get (M_post, 'dudule'); ***** test value = get (M_post, 'prior_model'); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/stk_predict_.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_predict_.m ***** shared n, m, M_post, M_prior, x0, x_obs, z_obs, x_prd, y_prd, idx_obs, idx_prd n = 10; % number of observations m = n + 1; % number of predictions d = 1; % dimension of the input space x0 = (linspace (0, pi, n + m))'; idx_obs = (2:2:(n+m-1))'; idx_prd = (1:2:(n+m))'; x_obs = x0(idx_obs); z_obs = sin (x_obs); x_prd = x0(idx_prd); M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error y_prd = stk_predict (M_post); ***** test y_prd = stk_predict (M_post, x_prd); ***** error y_prd = stk_predict (M_post, [x_prd x_prd]); ***** test % nargout = 2 [y_prd1, lambda] = stk_predict (M_post, x_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); assert (isequal (size (lambda), [n m])); ***** test % nargout = 3 [y_prd1, lambda, mu] = stk_predict (M_post, x_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging ***** test % nargout = 4 [y_prd1, lambda, mu, K] = stk_predict (M_post, x_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging assert (isequal (size (K), [m m])); ***** test % nargout = 2, compute only variances M_post1 = stk_model_gpposterior (M_prior, x_obs, []); [y_prd_nan, lambda] = stk_predict (M_post1, x_prd); assert (isequal (size (lambda), [n m])); assert (all (isnan (y_prd_nan.mean))); ***** test % discrete model (prediction indices provided) M_prior1 = stk_model (@stk_discretecov, M_prior, x0); M_post1 = stk_model_gpposterior (M_prior1, idx_obs, z_obs); y_prd1 = stk_predict (M_post1, idx_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); ***** test % discrete model (prediction indices *not* provided) M_prior1 = stk_model (@stk_discretecov, M_prior, x0); M_post1 = stk_model_gpposterior (M_prior1, idx_obs, z_obs); y_prd1 = stk_predict (M_post1, []); % predict them all! assert (stk_isequal_tolrel (y_prd, y_prd1(idx_prd, :))); 9 tests, 9 passed, 0 known failure, 0 skipped [inst/model/prior_struct/stk_model.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/prior_struct/stk_model.m ***** test model = stk_model (); ***** test model = stk_model (@stk_expcov_iso); ***** test model = stk_model (@stk_expcov_iso, 1); ***** test model = stk_model (@stk_expcov_iso, 3); ***** test model = stk_model (@stk_expcov_aniso); ***** test model = stk_model (@stk_expcov_aniso, 1); ***** test model = stk_model (@stk_expcov_aniso, 3); ***** test model = stk_model (@stk_materncov_iso); ***** test model = stk_model (@stk_materncov_iso, 1); ***** test model = stk_model (@stk_materncov_iso, 3); ***** test model = stk_model (@stk_materncov_aniso); ***** test model = stk_model (@stk_materncov_aniso, 1); ***** test model = stk_model (@stk_materncov_aniso, 3); ***** test model = stk_model (@stk_materncov32_iso); ***** test model = stk_model (@stk_materncov32_iso, 1); ***** test model = stk_model (@stk_materncov32_iso, 3); ***** test model = stk_model (@stk_materncov32_aniso); ***** test model = stk_model (@stk_materncov32_aniso, 1); ***** test model = stk_model (@stk_materncov32_aniso, 3); ***** test model = stk_model (@stk_materncov52_iso); ***** test model = stk_model (@stk_materncov52_iso, 1); ***** test model = stk_model (@stk_materncov52_iso, 3); ***** test model = stk_model (@stk_materncov52_aniso); ***** test model = stk_model (@stk_materncov52_aniso, 1); ***** test model = stk_model (@stk_materncov52_aniso, 3); ***** test model = stk_model (@stk_gausscov_iso); ***** test model = stk_model (@stk_gausscov_iso, 1); ***** test model = stk_model (@stk_gausscov_iso, 3); ***** test model = stk_model (@stk_gausscov_aniso); ***** test model = stk_model (@stk_gausscov_aniso, 1); ***** test model = stk_model (@stk_gausscov_aniso, 3); ***** test model = stk_model (@stk_sphcov_iso); ***** test model = stk_model (@stk_sphcov_iso, 1); ***** test model = stk_model (@stk_sphcov_iso, 3); ***** test model = stk_model (@stk_sphcov_aniso); ***** test model = stk_model (@stk_sphcov_aniso, 1); ***** test model = stk_model (@stk_sphcov_aniso, 3); 37 tests, 37 passed, 0 known failure, 0 skipped [inst/model/prior_struct/stk_ortho_func.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/prior_struct/stk_ortho_func.m ***** shared model, x, n, d n = 15; d = 4; model = stk_model (@stk_materncov_aniso, d); x = stk_sampling_randunif (n, d); model = rmfield (model, 'lm'); % Test the old .order approach ***** error P = stk_ortho_func (); ***** error P = stk_ortho_func (model); ***** test P = stk_ortho_func (model, x); ***** test model.order = -1; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 0])); ***** test model.order = 0; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 1])); ***** test model.order = 1; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, d + 1])); ***** test model.order = 2; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 1 + d * (d + 3) / 2])); ***** test model.order = 3; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 1 + d * (11 + d * (6 + d)) / 6])); ***** error model.order = 4; P = stk_ortho_func (model, x); % model.order > 3 is not allowed 9 tests, 9 passed, 0 known failure, 0 skipped [inst/model/prior_struct/stk_covmat_noise.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/prior_struct/stk_covmat_noise.m ***** shared model, model2, x1, x2, n1, n2, d, Ka, Kb, Kc, Pa, Pb, Pc, P1, P2, P3, K1, K2, K3 n1 = 20; n2 = 10; d = 4; model = stk_model (@stk_materncov52_aniso, d); model.lm = stk_lm_affine; model.param = log ([1.0; 2.1; 2.2; 2.3; 2.4]); model2 = model; model2.lognoisevariance = log(0.01); x1 = stk_sampling_randunif (n1, d); x2 = stk_sampling_randunif (n2, d); ***** error [KK, PP] = stk_covmat_noise (); ***** error [KK, PP] = stk_covmat_noise (model); ***** test [Ka, Pa] = stk_covmat_noise (model, x1); % (1) ***** test [K1, P1] = stk_covmat_noise (model, x1, []); ***** test [K2, P2] = stk_covmat_noise (model, x1, [], -1); ***** test [K3, P3] = stk_covmat_noise (model, x1, [], -1, false); ***** assert (isequal (size (Ka), [n1 n1])); ***** assert (isequal (size (Pa), [n1 0])); ***** assert (isequal (P1, Pa) && (isequal (K1, Ka))) ***** assert (isequal (P2, Pa) && (isequal (K2, Ka))) ***** assert (isequal (P3, Pa) && (isequal (K3, Ka))) ***** test [Kb, Pb] = stk_covmat_noise (model, x1, x1); % (2) ***** test [K1, P1] = stk_covmat_noise (model, x1, x1, -1); ***** test [K2, P2] = stk_covmat_noise (model, x1, x1, -1, false); ***** assert (isequal (size (Kb), [n1 n1])); ***** assert (isequal (size (Pb), [n1 0])); ***** assert (isequal (P1, Pb) && (isequal (K1, Kb))) ***** assert (isequal (P2, Pb) && (isequal (K2, Kb))) ***** test [Kc, Pc] = stk_covmat_noise (model, x1, x2); % (3) ***** test [K1, P1] = stk_covmat_noise (model, x1, x2, -1); ***** test [K2, P2] = stk_covmat_noise (model, x1, x2, -1, false); ***** assert (isequal (size (Kc), [n1 n2])); ***** assert (isequal (size (Pc), [n1 0])); ***** assert (isequal (P1, Pc) && (isequal (K1, Kc))) ***** assert (isequal (P2, Pc) && (isequal (K2, Kc))) ***** assert (isequal (Kb, Ka)); ***** test [Ka, Pa] = stk_covmat_noise (model2, x1); % (1') ***** test [Kb, Pb] = stk_covmat_noise (model2, x1, x1); % (2') ***** error assert (isequal (Kb, Ka)); ***** assert (isequal (Pa, Pb)); ***** assert (isequal (Pa, Pc)); 31 tests, 31 passed, 0 known failure, 0 skipped [inst/model/noise/@stk_gaussiannoise_het0/set.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/noise/@stk_gaussiannoise_het0/set.m ***** shared M_post x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error value = get (M_post, 1.33); ***** error value = get (M_post, 'dudule'); ***** test value = get (M_post, 'prior_model'); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/misc/parallel/@stk_parallel_engine_none/stk_parallel_engine_none.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/parallel/@stk_parallel_engine_none/stk_parallel_engine_none.m ***** test stk_test_class ('stk_parallel_engine_none') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_normal_ei.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_ei.m ***** assert (stk_isequal_tolrel (stk_distrib_normal_ei (0.0), 1 / sqrt (2 * pi), eps)) ***** test % Decreasing as a function of z ei = stk_distrib_normal_ei (linspace (-10, 10, 200)); assert (all (diff (ei) < 0)) ***** shared M, mu, sigma, ei M = randn (1, 10); mu = randn (5, 1); sigma = 1 + rand (1, 1, 7); ei = stk_distrib_normal_ei (M, mu, sigma); ***** assert (isequal (size (ei), [5, 10, 7])) ***** assert (all (ei(:) >= 0)) ***** assert (isequal (ei, stk_distrib_normal_ei (M, mu, sigma, false))); ***** assert (isequal (ei, stk_distrib_normal_ei (-M, -mu, sigma, true))); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_normal_pdf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_pdf.m ***** assert (stk_isequal_tolrel (stk_distrib_normal_pdf ([1; 3], 1, [1 10]), ... [1 / sqrt(2 * pi) ... % normpdf ((1 - 1) / 1) 0.1 / sqrt(2 * pi); ... % normpdf ((1 - 1) / 10) / 10 exp(-2) / sqrt(2 * pi) ... % normpdf ((3 - 1) / 1) 3.910426939754558780e-2 ... % normpdf ((3 - 1) / 10) / 10 ], eps)); ***** assert (isequal (stk_distrib_normal_pdf (inf), 0.0)); ***** assert (isequal (stk_distrib_normal_pdf (-inf), 0.0)); ***** assert (isnan (stk_distrib_normal_pdf (nan))); ***** assert (isnan (stk_distrib_normal_pdf (0, 0, -1))); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_student_cdf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_student_cdf.m ***** assert (stk_isequal_tolrel ( ... stk_distrib_student_cdf ([-1; 0; 1], [1 2], 0, [1 10]), ... [0.25, ... % tcdf ((-1 - 0)/1, 1) 4.6473271920707004e-01; ... % tcdf ((-1 - 0)/10, 2) 0.50, ... % tcdf (( 0 - 0)/1, 1) 0.50; ... % tcdf (( 0 - 0)/10, 2) 0.75, ... % tcdf (( 1 - 0)/1, 1) 5.3526728079292996e-01 ... % tcdf (( 1 - 0)/10, 2) ], 4 * eps)) ***** test [p, q] = stk_distrib_student_cdf (1e10, 2); assert (isequal (p, 1.0)); assert (stk_isequal_tolrel (q, 4.999999999999999999925e-21, 10 * eps)); ***** assert (isequal (stk_distrib_student_cdf (0.0, 1), 0.5)); ***** assert (isequal (stk_distrib_student_cdf (inf, 1), 1.0)); ***** assert (isequal (stk_distrib_student_cdf (-inf, 1), 0.0)); ***** assert (isnan (stk_distrib_student_cdf (nan, 1))); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_student_pdf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_student_pdf.m ***** assert (stk_isequal_tolrel ( ... stk_distrib_student_pdf ([1; 3], [1; 2], [0 1], [1 10]), ... [0.50 / pi ... % tpdf ((1 - 1) / 10, 1) 0.10 / pi; ... % tpdf ((1 - 1) / 10, 1) / 10 1 / (11 * sqrt(11)) ... % tpdf ((3 - 0) / 1, 2) / 1 3.4320590294804165e-02 ... % tpdf ((3 - 1) / 10, 2) / 10 ], eps)); ***** assert (isequal (stk_distrib_student_pdf ( inf, 1.0), 0.0)); ***** assert (isequal (stk_distrib_student_pdf (-inf, 1.0), 0.0)); ***** assert (isnan (stk_distrib_student_pdf ( nan, 1.0))); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_student_ei.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_student_ei.m ***** assert (stk_isequal_tolrel (stk_distrib_student_ei (0, 2), 1 / sqrt (2), eps)) ***** test % Decreasing as a function of z ei = stk_distrib_student_ei (linspace (-10, 10, 200), 3.33); assert (all (diff (ei) < 0)) ***** shared M, mu, sigma, ei, nu M = randn (1, 10); mu = randn (5, 1); sigma = 1 + rand (1, 1, 7); nu = 2; ei = stk_distrib_student_ei (M, nu, mu, sigma); ***** assert (isequal (size (ei), [5, 10, 7])) ***** assert (all (ei(:) >= 0)) ***** assert (isequal (ei, stk_distrib_student_ei (M, nu, mu, sigma, false))); ***** assert (isequal (ei, stk_distrib_student_ei (-M, nu, -mu, sigma, true))); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_normal_crps.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_crps.m ***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (0.0, 0.0, 0.0), 0.0)) ***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (0.0, 0.0, 1.0), (sqrt(2) - 1)/sqrt(pi))) ***** shared n, x_obs, mu, sigma, crps, crps_exp x_obs = [ 1.78; -2.29; -1.62; -5.89; 2.88; 0.65; 2.74; -3.42]; % observations mu = [-0.31; -0.59; 1.48; -1.57; -0.05; -0.27; 1.05; 1.27]; % predictions sigma = [ 2.76; 6.80; 1.63; 1.19; 4.98; 9.60; 5.85; 2.24]; % standard dev n = size(x_obs, 1); crps = stk_distrib_normal_crps (x_obs, mu, sigma); ***** assert (isequal (size (crps), [n, 1])) ***** assert (all (crps >= 0)) ***** assert (stk_isequal_tolabs (crps, stk_distrib_normal_crps(mu, x_obs, sigma))) ***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (x_obs, mu, 0), abs (x_obs - mu))) crps_ref = [ ... 1.247856605928301 ... 1.757798727719891 ... 2.216236225997414 ... 3.648696666764968 ... 1.832355265287495 ... 2.278618297947438 ... 1.560544734359158 ... 3.455697443411153 ]; assert (stk_isequal_tolabs (crps, crps_ref, 1e-10)); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_bivnorm_cdf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_bivnorm_cdf.m ***** test z1 = [0 1; -1 2]; z2 = [0 1; 1 -2]; z = cat (3, z1, z2); % 2 x 2 x 2 mu1 = 0; % 1 x 1 x 1 mu2 = [0 1]; % 1 x 2 x 1 sigma1 = [1 3]; % 1 x 2 x 1 sigma2 = [1; 2]; % 2 x 1 x 1 rho = [0; 0.5]; % 2 x 1 x 1 %% BROADCASTING => the result will be a 2 x 2 matrix p = stk_distrib_bivnorm_cdf (z, mu1, mu2, sigma1, sigma2, rho); p11 = 0.25; % mvncdf ([ 0 0], [0 0], [1 0; 0 1]); p12 = 0.315279329909118; % mvncdf ([ 1 1], [0 1], [9 0; 0 1]); p21 = 0.146208349559646; % mvncdf ([-1 1], [0 0], [1 1; 1 4]); p22 = 0.064656239880040; % mvncdf ([ 2 -2], [0 1], [9 3; 3 4]); assert (stk_isequal_tolabs (p, [p11 p12; p21 p22], 1e-14)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf -inf], 0, 0, 1, 1, 0); assert ((p == 0.0) && (q == 1.0)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf -10], 0, 0, 1, 1, 0); assert (stk_isequal_tolrel (p, 7.619853024160489e-24, 1e-12)) assert (q == 1.0) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf 0], 0, 0, 1, 1, 0); assert (stk_isequal_tolrel (p, 0.5, 1e-12)) assert (stk_isequal_tolrel (q, 0.5, 1e-12)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf 10], 0, 0, 1, 1, 0); assert (p == 1.0); assert (stk_isequal_tolrel (q, 7.619853024160489e-24, 1e-12)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf inf], 0, 0, 1, 1, 0); assert ((p == 1.0) && (q == 0.0)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([-inf inf], 0, 0, 1, 1, 0); assert ((p == 0.0) && (q == 1.0)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([-10 inf], 0, 0, 1, 1, 0); assert (stk_isequal_tolrel (p, 7.619853024160489e-24, 1e-12)) assert (q == 1.0) ***** test [p, q] = stk_distrib_bivnorm_cdf ([0 inf], 0, 0, 1, 1, 0); assert (stk_isequal_tolrel (p, 0.5, 1e-12)) assert (stk_isequal_tolrel (q, 0.5, 1e-12)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([10 inf], 0, 0, 1, 1, 0); assert (p == 1.0); assert (stk_isequal_tolrel (q, 7.619853024160489e-24, 1e-12)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf inf], 0, 0, 1, 1, 0); assert ((p == 1.0) && (q == 0.0)) ***** test % A mixture of singular and non-singular cases p = stk_distrib_bivnorm_cdf ([0 0], 0, 0, [1; 0], 1, 0); assert (isequal (p, [0.25; 0.5])); 12 tests, 12 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_normal_cdf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_cdf.m ***** assert (stk_isequal_tolrel (stk_distrib_normal_cdf ([1; 3], 1, [1 10]), ... [0.5, ... % normcdf ((1 - 1) / 1) 0.5; ... % normcdf ((1 - 1) / 10) 0.5 * erfc(-sqrt(2)), ... % normcdf ((3 - 1) / 1) 0.5 * erfc(-0.1*sqrt(2)) ... % normcdf ((3 - 1) / 10) ], eps)); ***** test [p, q] = stk_distrib_normal_cdf (10); assert (isequal (p, 1.0)); assert (stk_isequal_tolrel (q, 7.6198530241604975e-24, eps)); ***** assert (isequal (stk_distrib_normal_cdf ( 0.0), 0.5)); ***** assert (isequal (stk_distrib_normal_cdf ( inf), 1.0)); ***** assert (isequal (stk_distrib_normal_cdf (-inf), 0.0)); ***** assert (isnan (stk_distrib_normal_cdf ( nan))); ***** assert (isnan (stk_distrib_normal_cdf (0, 0, -1))); ***** assert (isequal (stk_distrib_normal_cdf (0, 0, 0), 1.0)); ***** assert (isequal (stk_distrib_normal_cdf (0, 1, 0), 0.0)); ***** assert (isequal (stk_distrib_normal_cdf (1, 0, 0), 1.0)); 10 tests, 10 passed, 0 known failure, 0 skipped [inst/misc/test/stk_isequal_tolabs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/test/stk_isequal_tolabs.m ***** shared r1, r2, a, b, tolabs a = 1.01; b = 1.02; tolabs = 0.1; ***** error rr = stk_isequal_tolabs(); ***** error rr = stk_isequal_tolabs(a); ***** test r1 = stk_isequal_tolabs(a, b); ***** test r2 = stk_isequal_tolabs(a, b, tolabs); ***** test assert(~r1); ***** test assert(r2); ***** test a = struct('u', []); b = struct('v', []); assert(~ stk_isequal_tolabs(a, b)) ***** test a = struct('u', 1.01); b = struct('u', 1.02); assert(stk_isequal_tolabs(a, b, tolabs)) 8 tests, 8 passed, 0 known failure, 0 skipped [inst/misc/test/stk_test.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/test/stk_test.m ***** assert(isempty([])) % support for test assert shorthand ***** assert((1 + 1) == 2) ***** test a=1; ***** test assert(~exist('a')); ***** shared a % create a shared variable ***** test a = 3; % assign to a shared variable ***** test assert(a == 3); % variable should equal 3 in this second 'test' block ***** shared b, c % replace shared variables {'a'} --> {'b', 'c'} ***** test assert(~exist('a')); % a no longer exists ***** test assert(isempty(b)); % variables start off empty ***** shared a % recreate a shared variable that had been deleted ***** test assert (isempty(a)); % it is empty, even though it was equal to 3 before ***** shared a, b, c % creates three shared variables a = 1; b = 2; c = 3; % give values to all variables, in the same block ***** assert(isequal([a, b, c], [1, 2, 3])); % test all of them together ***** test c=6; % update a value ***** test % show that the update sticks between blocks assert(isequal([a, b, c], [1, 2, 6])); ***** shared % clear all shared variables ***** assert(~exist('a')) % show that they are cleared ***** error test % not enough input arguments ***** error test(1, 2, 3, 4) % too many input args ***** error garbage % usage on nonexistent function should be ***** error stt_test('test', 'bogus'); % undefined function error ***** error stk_test('test', 'bogus'); % error raised by stk_test itself ***** error stk_test(); ***** error stk_test('disp', 'verbose', [], 'extra arg !!!'); ***** error stk_test([]) ***** error stk_test(0.0) ***** error stk_test('stk_mindist', 0.0) ***** error stk_test('stk_mindist', 'dudule') 24 tests, 24 passed, 0 known failure, 0 skipped [inst/misc/test/stk_isequal_tolrel.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/test/stk_isequal_tolrel.m ***** shared r1, r2, r3, a, b, tolrel a = 1.01; b = 1.02; tolrel = 0.1; ***** error rr = stk_isequal_tolrel(); ***** error rr = stk_isequal_tolrel(a); ***** test r1 = stk_isequal_tolrel(a, b); ***** test r2 = stk_isequal_tolrel(a, b, tolrel); ***** test r3 = stk_isequal_tolrel(a, [b b]); ***** test assert (isequal (r1, false)); ***** test assert (isequal (r2, true)); ***** test assert (isequal (r3, false)); ***** test a = struct('u', []); b = struct('v', []); assert(~ stk_isequal_tolrel(a, b)) ***** test a = struct('u', 1.01); b = struct('u', 1.02); assert(stk_isequal_tolrel(a, b, tolrel)) 10 tests, 10 passed, 0 known failure, 0 skipped [inst/misc/optim/stk_optim_testmin_box.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_optim_testmin_box.m ***** shared algo algo = stk_options_get ('stk_param_estim', 'minimize_box'); ***** error b = stk_optim_testmin_box (); ***** assert (stk_optim_testmin_box (algo)); ***** assert (~ stk_optim_testmin_box ('dudule')); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/misc/optim/@stk_optim_fmincon/stk_optim_fmincon.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_fmincon/stk_optim_fmincon.m ***** test stk_test_class ('stk_optim_fmincon') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/optim/@stk_optim_optimizer_/stk_optim_optimizer_.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_optimizer_/stk_optim_optimizer_.m ***** test stk_test_class ('stk_optim_optimizer_') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/optim/stk_optim_testmin_unc.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_optim_testmin_unc.m ***** shared algo algo = stk_options_get ('stk_param_estim', 'minimize_unc'); ***** error b = stk_optim_testmin_unc (); ***** assert (stk_optim_testmin_unc (algo)); ***** assert (~ stk_optim_testmin_unc ('dudule')); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/misc/optim/@stk_optim_octavesqp/stk_optim_octavesqp.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_octavesqp/stk_optim_octavesqp.m ***** test stk_test_class ('stk_optim_octavesqp') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/optim/stk_minimize_unconstrained.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_minimize_unconstrained.m ***** test % Call fminsearch using function name if stk_optim_isavailable ('fminsearch') assert (stk_optim_testmin_unc ('fminsearch')); end ***** test % Call fminsearch directly, using algorithm object if stk_optim_isavailable ('fminsearch') algo = stk_optim_fminsearch ('TolX', 1e-12, 'TolFun', 1e-12); assert (stk_optim_testmin_unc (algo)); end ***** test % Call sqp using function name if stk_optim_isavailable ('octavesqp') assert (stk_optim_testmin_unc ('octavesqp')); end ***** test % Call sqp directly, using algorithm object if stk_optim_isavailable ('octavesqp') algo = stk_optim_octavesqp (); assert (stk_optim_testmin_unc (algo)); end ***** error assert (stk_optim_testmin_unc ('InexistentOptimizer')); ***** error assert (stk_optim_testmin_unc (100)); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/optim/@stk_optim_fminsearch/stk_optim_fminsearch.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_fminsearch/stk_optim_fminsearch.m ***** test stk_test_class ('stk_optim_fminsearch') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/optim/stk_minimize_boxconstrained.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_minimize_boxconstrained.m ***** test % Call fmincon using function name if stk_optim_isavailable ('fmincon') assert (stk_optim_testmin_box ('fmincon')); end ***** test % Call fmincon directly, using algorithm object if stk_optim_isavailable ('fmincon') algo = stk_optim_fmincon ('TolX', 1e-12, 'TolFun', 1e-12); assert (stk_optim_testmin_box (algo)); end ***** test % Call sqp using function name if stk_optim_isavailable ('octavesqp') assert (stk_optim_testmin_box ('octavesqp')); end ***** test % Call sqp directly, using algorithm object if stk_optim_isavailable ('octavesqp') algo = stk_optim_octavesqp (); assert (stk_optim_testmin_box (algo)); end ***** error assert (stk_optim_testmin_box ('InexistentOptimizer')); ***** error assert (stk_optim_testmin_box (100)); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/design/stk_maxabscorr.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/design/stk_maxabscorr.m ***** assert (stk_isequal_tolabs (0.0, ... % Test on an OLHS(5) stk_maxabscorr ([0.4 0.8 0 -0.4 -0.8; -0.8 0.4 0 0.8 -0.4]'))); 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/design/stk_phipcrit.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/design/stk_phipcrit.m ***** shared x x = [0, 0.2, 0.4, 0.6, 0.8, 1.0; 0, 0.6, 0.8, 1.0, 0.2, 0.4]'; ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 10), 3.946317664423303, 1e-15)) ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 50), 3.614077252813102, 1e-15)); ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 100), 3.574589859827413, 1e-15)); ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 1e9), 1 / stk_mindist (x), 1e-8)); ***** assert (isequal (stk_phipcrit (ones (2)), Inf)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/misc/error/stk_error.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/error/stk_error.m ***** shared errmsg, mnemonic, badstack errmsg = 'Go ahead, make my day.'; mnemonic = 'ClintEastwood'; badstack = 0; % not a valid stack structure ***** error stk_error(errmsg, mnemonic); ***** error stk_error (errmsg, mnemonic, badstack); ***** error id=STK:stk_error:InvalidArgument stk_error (errmsg, mnemonic, badstack); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_filldist_discretized.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_filldist_discretized.m ***** error stk_filldist_discretized(0.0) % incorrect nb of arguments ***** error stk_filldist_discretized(0.0, []) % second arg is empty ***** error stk_filldist_discretized([], 0.0) % first arg is empty ***** test d = 3; x = rand(7, d); y = rand(20, d); fd1 = stk_filldist_discretized(x, y); fd2 = stk_filldist_discretized(stk_dataframe(x), stk_dataframe(y)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test n = 5; for dim = 1:10, x = rand(n, dim); fd = stk_filldist_discretized(x, x); assert(stk_isequal_tolabs(fd, 0.0)); end ***** test for dim = 1:10, x = rand(1, dim); y = rand(1, dim); fd = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, norm(x - y))); end ***** test n = 4; for dim = 2:10, x = zeros(n, dim); y = rand(1, dim); fd = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, max(stk_dist(x, y)))); end ***** test for dim = [1 3 6], x = 0.5 * ones(1, dim); y = stk_sampling_regulargrid(2^dim, dim); % [0; 1]^d is the default box fd = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], x = zeros(1, dim); y = stk_sampling_regulargrid(3^dim, dim); [fd, ymax] = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end 9 tests, 9 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_filldist.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_filldist.m ***** test %%% exact d = 3; x = rand(7, d); box = repmat([0; 1], 1, d); fd1 = stk_filldist(x, box); fd2 = stk_filldist(stk_dataframe(x), stk_dataframe(box)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test %%% discretized d = 3; x = rand(7, d); y = rand(20, d); fd1 = stk_filldist(x, y); fd2 = stk_filldist(stk_dataframe(x), stk_dataframe(y)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test n = 5; % must be bigger than 2 for dim = 1:10, x = rand(n, dim); fd = stk_filldist(x, x); assert(stk_isequal_tolabs(fd, 0.0)); end ***** test %%% exact for dim = 1:6, x = 0.5 * ones(1, dim); fd = stk_filldist(x); % [0; 1]^d is the default box assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test %%% discretized for dim = 1:6, x = 0.5 * ones(1, dim); y = stk_sampling_regulargrid(2^dim, dim); % [0; 1]^d is the default box fd = stk_filldist(x, y); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], box = repmat([1; 2], 1, dim); x = 1 + 0.5 * ones(1, dim); fd = stk_filldist(x, box); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test dim = 3; box = repmat([-1; 1], 1, dim); x = stk_sampling_randunif(20, dim, box); y = stk_sampling_regulargrid(3^dim, dim, box); fd1 = stk_filldist(x, box); fd2 = stk_filldist(x, y); assert(fd1 >= fd2 - 10 * eps); ***** test %%% exact for dim = [1 3 7], x = zeros(1, dim); [fd, ymax] = stk_filldist_exact(x); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end ***** test %%% discretized for dim = [1 3 7], x = zeros(1, dim); y = stk_sampling_regulargrid(3^dim, dim); [fd, ymax] = stk_filldist(x, y); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end 9 tests, 9 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_dist.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_dist.m ***** error stk_dist(); ***** error stk_dist(0, 0, 0); ***** error stk_dist(0, 0, 0, 0); ***** error stk_dist(0, ones(1, 2)); ***** error stk_dist(eye(3), ones(1, 2)); ***** error stk_dist(ones(2, 1), zeros(2)); ***** shared x, y, z x = zeros(11, 5); y = zeros(13, 5); z = ones(7, 5); ***** test Dx = stk_dist(x); assert(isequal(Dx, zeros(11))); ***** test Dxx = stk_dist(x, x); assert(isequal(Dxx, zeros(11))); ***** test Dxy = stk_dist(x, y); assert(isequal(Dxy, zeros(11, 13))); ***** test Dzz = stk_dist(z, z); assert(isequal(Dzz, zeros(7))); ***** test Dxz = stk_dist(x, z); assert(stk_isequal_tolabs(Dxz, sqrt(5)*ones(11, 7))); ***** test x = randn(5,3); y = randn(5,3); D1 = stk_dist(x, y, true); % pairwise D2 = stk_dist(x, y); assert(stk_isequal_tolabs(D1, diag(D2))); ***** test x = randn(5,3); D1 = stk_dist(x, [], true); % pairwise assert(stk_isequal_tolabs(D1, zeros(5, 1))); D1 = stk_dist(x, x, true); % pairwise assert(stk_isequal_tolabs(D1, zeros(5, 1))); 13 tests, 13 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_filldist_exact.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_filldist_exact.m ***** test d = 3; x = rand(7, d); box = repmat([0; 1], 1, d); fd1 = stk_filldist_exact(x, box); fd2 = stk_filldist_exact(stk_dataframe(x), stk_dataframe(box)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test for dim = 1:6, x = 0.5 * ones(1, dim); fd = stk_filldist_exact(x); % [0; 1]^d is the default box assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], box = repmat([1; 2], 1, dim); x = 1 + 0.5 * ones(1, dim); fd = stk_filldist_exact(x, box); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], x = zeros(1, dim); [fd, ymax] = stk_filldist_exact(x); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end 4 tests, 4 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_gpquadform.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_gpquadform.m ***** shared x, y, z, rx, ry, rz x = rand(5, 2); rx = rand(5, 2) + 1; y = rand(6, 2); ry = rand(6, 2) + 1; z = rand(5, 3); rz = rand(5, 3) + 1; ***** error Q = stk_gpquadform(x, ry, y, ry) ***** error Q = stk_gpquadform(x, rz, y, ry) ***** error Q = stk_gpquadform(x, rx, y, rx) ***** error Q = stk_gpquadform(x, rx, y, rz) ***** error Q = stk_gpquadform(x, rx, z, ry) ***** shared x, y, z, rx, ry, rz x = zeros (11, 5); rx = 1/sqrt(2) * ones (11, 5); y = zeros (13, 5); ry = 1/sqrt(2) * ones (13, 5); z = ones ( 7, 5); rz = 1/sqrt(2) * ones ( 7, 5); ***** test Qx = stk_gpquadform(x, [], rx); assert(isequal(Qx, zeros(11))); ***** test Qxx = stk_gpquadform(x, x, rx, rx); assert(isequal(Qxx, zeros(11))); ***** test Qxy = stk_gpquadform(x, y, rx, ry); assert(isequal(Qxy, zeros(11, 13))); ***** test Qzz = stk_gpquadform(z, [], rz); assert(isequal(Qzz, zeros(7))); ***** test Qxz = stk_gpquadform(x, z, rx, rz); assert(stk_isequal_tolabs(Qxz, 5 * ones(11, 7))); ***** test x = randn(5, 3); rx = 1 + rand(5, 3); y = randn(5, 3); ry = 1 + rand(5, 3); Q1 = stk_gpquadform(x, y, rx, ry, true); % pairwise Q2 = stk_gpquadform(x, y, rx, ry, false); assert(isequal(size(Q1), [5 1])); assert(isequal(size(Q2), [5 5])); assert(stk_isequal_tolabs(Q1, diag(Q2))); ***** test x = randn(5, 3); rx = 1 + rand(5, 3); Q1 = stk_gpquadform(x, [], rx, [], true); % pairwise assert(stk_isequal_tolabs(Q1, zeros(5, 1))); Q1 = stk_gpquadform(x, x, rx, rx, true); % pairwise assert(stk_isequal_tolabs(Q1, zeros(5, 1))); ***** shared x, y, z, rx, ry, rz x = zeros (11, 5); rx = 2 * ones (11, 5); y = zeros (13, 5); ry = 2 * ones (13, 5); z = ones ( 7, 5); rz = 2 * ones ( 7, 5); ***** test Qx = stk_gpquadform(x, [], rx); assert(isequal(Qx, zeros(11))); ***** test Qxx = stk_gpquadform(x, x, rx, rx); assert(isequal(Qxx, zeros(11))); ***** test Qxy = stk_gpquadform(x, y, rx, ry); assert(isequal(Qxy, zeros(11, 13))); ***** test Qzz = stk_gpquadform(z, [], rz); assert(isequal(Qzz, zeros(7))); ***** test Qxz = stk_gpquadform(x, z, rx, rz); assert(stk_isequal_tolabs(Qxz, 5/8 * ones(11, 7))); 17 tests, 17 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_mindist.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_mindist.m ***** test d = 3; x = rand(7, d); md1 = stk_mindist(x); md2 = stk_mindist(stk_dataframe(x)); assert(stk_isequal_tolabs(md1, md2)); ***** test for nc = [0 5 10], x = zeros(0, nc); d = stk_mindist(x); assert(isempty(d)); end ***** test for nc = [0 5 10], x = rand(1, nc); d = stk_mindist(x); assert(isempty(d)); end ***** test for nr = [2 5 10], x = zeros(nr, 0); d = stk_mindist(x); assert(isequal(d, 0.0)); end ***** test nrep = 20; TOL_REL = 1e-15; for irep = 1:nrep, n = 2 + floor(rand * 10); d = 1 + floor(rand * 10); x = rand(n, d); z = stk_mindist(x); assert(isequal(size(d), [1, 1])); assert(~isnan(d)); assert(~isinf(d)); % check the result mindist = Inf; for i = 1:(n-1), for j = (i+1):n, mindist = min(mindist, norm(x(i,:) - x(j,:))); end end assert(abs(z - mindist) <= TOL_REL * mindist); end 5 tests, 5 passed, 0 known failure, 0 skipped [inst/misc/pareto/stk_dominatedhv.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/pareto/stk_dominatedhv.m ***** error hv = stk_dominatedhv (); ***** error hv = stk_dominatedhv (-y, 'incorrect ref type'); ***** error hv = stk_dominatedhv (-y, [0 0]); ***** error hv = stk_dominatedhv (-y, [0 0 0 0 0], 0, 'too many input args'); ***** shared y, hv0 % Example from README.TXT in WFG 1.10 y = [ ... 0.598 0.737 0.131 0.916 6.745; ... 0.263 0.740 0.449 0.753 6.964; ... 0.109 8.483 0.199 0.302 8.872 ]; hv0 = 1.1452351120; ***** test hv = stk_dominatedhv (-y); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test yy = stk_dataframe (- y); % Check that @stk_dataframe inputs are accepted hv = stk_dominatedhv (yy); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test hv = stk_dominatedhv (-y, [], 0); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test hv = stk_dominatedhv (-y, [0 0 0 0 0]); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test hv = stk_dominatedhv (1 - y, [1 1 1 1 1]); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test r = stk_dominatedhv (-y, [], 1); hv = sum (r.sign .* prod (r.xmax - r.xmin, 2)); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** shared y1, y2, y0, S, S1 y0 = [1.00 1.00]; % Reference point y1 = [1.50 1.50]; % Above the reference point y2 = [0.50 0.50]; % Below the reference point ***** assert (isequal (0.00, stk_dominatedhv (y1, y0))); ***** assert (isequal (0.25, stk_dominatedhv (y2, y0))); ***** assert (isequal (0.25, stk_dominatedhv ([y1; y2], y0))); ***** assert (isequal (0.25, stk_dominatedhv ([y2; y1; y2], y0))); ***** test S = stk_dominatedhv (y1, y0, 1); % empty decomposition ***** assert (isequal (size (S.xmin, 1), 0)); ***** test S = stk_dominatedhv (y2, y0, 1); % trivial decomposition ***** assert (isequal (S.sign, 1)); ***** assert (isequal (S.xmin, y2)); ***** assert (isequal (S.xmax, y0)); ***** test S1 = stk_dominatedhv ([y2; y0], y0, 1); % shoud be the same as before ***** assert (isequal (S1, S)); ***** test S1 = stk_dominatedhv ([y2; y1], y0, 1); % shoud be the same as before ***** assert (isequal (S1, S)); ***** test S1 = stk_dominatedhv ([y2; y2], y0, 1); % shoud be the same as before ***** assert (isequal (S1, S)); ***** test for d = 1:10, y = - 0.5 * ones (1, d); hv = stk_dominatedhv (y); assert (isequal (stk_dominatedhv (y), 0.5 ^ d)); end ***** test for d = 1:10, y = - 0.5 * ones (1, d); r = stk_dominatedhv (y, [], 1); hv = sum (r.sign .* prod (r.xmax - r.xmin, 2)); assert (isequal (stk_dominatedhv (y), 0.5 ^ d)); end ***** shared y, y_ref, dv, hv0 y1 = [0.25 0.75]; y2 = [0.50 0.50]; y3 = [0.75 0.25]; y_ref = [1 1]; y = {[], y1, y2, y3; [y1; y2], [y1; y3], [y2; y3], [y1; y2; y3]}; dv = 0.25 ^ 2; hv0 = [0 3 4 3; 5 5 5 6] * dv; ***** test hv1 = stk_dominatedhv (y, y_ref); assert (isequal (hv0, hv1)); ***** test r = stk_dominatedhv (y, y_ref, 1); % Check the first decomposition, which should be empty assert (isempty (r(1).sign)); assert (isempty (r(1).xmin)); assert (isempty (r(1).xmax)); % Check the other decompositions for i = 2:6, hv2 = sum (r(i).sign .* prod (r(i).xmax - r(i).xmin, 2)); assert (isequal (hv0(i), hv2)); end ***** test y = (0.3:0.1:0.8)'; hv0 = 0.7; hv1 = stk_dominatedhv (y, 1); r = stk_dominatedhv (y, 1, true); hv2 = sum (r.sign .* prod (r.xmax - r.xmin, 2)); ***** test % four non-dominated points (hypervolume) zr = [1 1]; zi = [0.2 0.8; 0.4 0.6; 0.6 0.4; 0.8 0.2] P = perms (1:4); for i = 1:24 HV = stk_dominatedhv (zi(P(i, :), :), zr, 0); assert (stk_isequal_tolrel (HV, 0.4, 1e-15)); end zi = 0.2000 0.8000 0.4000 0.6000 0.6000 0.4000 0.8000 0.2000 ***** test % four non-dominated points (decomposition) zr = [1 1]; zi = [0.2 0.8; 0.4 0.6; 0.6 0.4; 0.8 0.2] P = perms (1:4); for i = 1:24 S = stk_dominatedhv (zi(P(i, :), :), zr, 1); HV = sum (S.sign .* prod (S.xmax - S.xmin, 2)); assert (stk_isequal_tolrel (HV, 0.4, 1e-15)); end zi = 0.2000 0.8000 0.4000 0.6000 0.6000 0.4000 0.8000 0.2000 ***** test % a case with 8 points and 5 objectives % http://sourceforge.net/p/kriging/tickets/33 yr = [1.03 0.91 0.96 1.99 16.2]; y = [ ... 0.8180 0.5600 0.1264 1.0755 1.2462; ... 0.8861 0.6928 0.2994 0.7228 0.9848; ... 0.9021 0.8829 0.6060 0.1642 0.4282; ... 0.9116 0.3097 0.8601 0.0468 0.2813; ... 0.9306 0.1429 0.6688 0.1462 1.3661; ... 0.9604 0.3406 0.4046 0.7239 1.8741; ... 0.9648 0.7764 0.5199 0.4098 1.3436; ... 0.9891 0.4518 0.7956 0.1164 1.2025]; hv1 = stk_dominatedhv (y, yr, 0); S = stk_dominatedhv (y, yr, 1); hv2 = sum (S.sign .* prod (S.xmax - S.xmin, 2)); assert (isequal (size (S.sign), [87 1])); assert (isequal (size (S.xmin), [87 5])); assert (isequal (size (S.xmax), [87 5])); assert (stk_isequal_tolrel (hv1, 1.538677420906463, 2 * eps)); assert (stk_isequal_tolrel (hv1, hv2, eps)); ***** test % with random data NREP = 5; for p = 1:5 for n = 1:10 for i = 1:NREP % Draw random data y = rand (n, p); y = - y ./ (norm (y)); % Compute hypervolume directly hv1 = stk_dominatedhv (y, [], 0); % Compute decomposition, then hypervolume R = stk_dominatedhv (y, [], 1); hv2 = sum (R.sign .* prod (R.xmax - R.xmin, 2)); % Compare results assert (stk_isequal_tolabs (hv1, hv2, eps)); end end end 35 tests, 35 passed, 0 known failure, 0 skipped [inst/misc/pareto/stk_paretofind.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/pareto/stk_paretofind.m ***** shared x, ndpos, drank x = [ ... 0 2; ... 2 2; ... ]; ***** test [ndpos, drank] = stk_paretofind (x); ***** assert (isequal (ndpos, 1)); ***** assert (isequal (drank, [0; 1])); ***** shared x, ndpos, drank x = [ ... 3 2; ... 2 2; ... ]; ***** test [ndpos, drank] = stk_paretofind (x); ***** assert (isequal (ndpos, 2)); ***** assert (isequal (drank, [1; 0])); ***** shared x, ndpos, drank x = [ ... 1 0; ... 2 0; ... 0 2; ... 2 2; ... -1 3 ]; ***** test [ndpos, drank] = stk_paretofind (x); ***** assert (isequal (ndpos, [5; 3; 1])); ***** assert (isequal (drank, [0; 3; 0; 2; 0])); ***** shared x, ndpos, drank x = [ ... 1 0; ... 2 0; ... 0 2; ... 2 2; ... -1 3; ... -1 4; ... 2 2 ]; ***** test [ndpos, drank] = stk_paretofind (x); ***** assert (isequal (ndpos, [5; 3; 1])); ***** assert (isequal (drank, [0; 3; 0; 2; 0; 1; 2])); 12 tests, 12 passed, 0 known failure, 0 skipped [inst/misc/pareto/stk_isdominated.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/pareto/stk_isdominated.m ***** test A = [1 3 2]; B = [0 0 0]; [isdom, dpos] = stk_isdominated (A, B); assert (isdom == 1); assert (dpos == 1); ***** test A = [1 3 2]; B = [0 0 3]; [isdom, dpos] = stk_isdominated (A, B); assert (isdom == 0); assert (dpos == 0); ***** test A = [1 3 2]; B = [0 0 0; 0 0 3]; [isdom, dpos] = stk_isdominated (A, B); assert (isdom == 1); assert (dpos == 1); ***** test A = [1 3 2]; B = [0 0 3; 0 0 0]; [isdom, dpos] = stk_isdominated (A, B); assert (isdom == 1); assert (dpos == 2); ***** test A = [1 3 2; 1 0 1; -1 0 0; 1 3 2]; B = [1 0 0; 0 0 3; 0 0 0]; [isdom, dpos] = stk_isdominated (A, B); assert (isequal (isdom, logical ([1; 1; 0; 1]))); assert (isequal (dpos, [3; 3; 0; 3])); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/misc/text/stk_sprintf_colvect_fixedpoint.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_sprintf_colvect_fixedpoint.m ***** shared x, s x = [1.2; 3.48]; ***** test s = stk_sprintf_colvect_fixedpoint(x, 1); ***** assert (isequal(s, ['1'; '3'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 2); ***** assert (isequal(s, ['1'; '3'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 3); ***** assert (isequal(s, ['1.2'; '3.5'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 4); ***** assert (isequal(s, ['1.20'; '3.48'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 5); ***** assert (isequal(s, ['1.20'; '3.48'])) ***** shared x, s x = [1.2; -3.48]; ***** test s = stk_sprintf_colvect_fixedpoint(x, 1); ***** assert (isequal(s, ['#'; '#'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 2); ***** assert (isequal(s, [' 1'; '-3'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 3); ***** assert (isequal(s, [' 1'; '-3'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 4); ***** assert (isequal(s, [' 1.2'; '-3.5'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 5); ***** assert (isequal(s, [' 1.20'; '-3.48'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 6); ***** assert (isequal(s, [' 1.20'; '-3.48'])) ***** shared x, s x = [0.2; 0.48]; ***** test s = stk_sprintf_colvect_fixedpoint(x, 1); ***** assert (isequal(s, ['0'; '0'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 2); ***** assert (isequal(s, ['0'; '0'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 3); ***** assert (isequal(s, ['0.2'; '0.5'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 4); ***** assert (isequal(s, ['0.20'; '0.48'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 5); ***** assert (isequal(s, ['0.20'; '0.48'])) 32 tests, 32 passed, 0 known failure, 0 skipped [inst/misc/text/stk_sprintf_colvect_scientific.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_sprintf_colvect_scientific.m ***** shared x, s x = [1.2; -34567]; ***** test s = stk_sprintf_colvect_scientific(x, 1); ***** assert (isequal(s, ['#'; '#'])) ***** test s = stk_sprintf_colvect_scientific(x, 3); ***** assert (isequal(s, ['###'; '###'])) ***** test s = stk_sprintf_colvect_scientific(x, 5); ***** assert (isequal(s, ['#####'; '#####'])) ***** test s = stk_sprintf_colvect_scientific(x, 6); ***** assert (isequal(s, [' 1e+00'; '-3e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 7); ***** assert (isequal(s, [' 1e+00'; '-3e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 8); ***** assert (isequal(s, [' 1.2e+00'; '-3.5e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 9); ***** assert (isequal(s, [' 1.20e+00'; '-3.46e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 10); ***** assert (isequal(s, [' 1.200e+00'; '-3.457e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 11); ***** assert (isequal(s, [' 1.2000e+00'; '-3.4567e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 12); ***** assert (isequal(s, [' 1.2000e+00'; '-3.4567e+04'])) ***** shared x, s x = [0.9; 0.91; 0.99; 0.999]; ***** test s = stk_sprintf_colvect_scientific (x, 4); ***** assert (isequal(s, ['####'; '####'; '####'; '####'])) ***** test s = stk_sprintf_colvect_scientific (x, 5); ***** assert (isequal(s, ['9e-01'; '9e-01'; '1e+00'; '1e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 6); ***** assert (isequal(s, ['9e-01'; '9e-01'; '1e+00'; '1e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 7); ***** assert (isequal(s, ['9.0e-01'; '9.1e-01'; '9.9e-01'; '1.0e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 8); ***** assert (isequal(s, ['9.00e-01'; '9.10e-01'; '9.90e-01'; '9.99e-01'])) ***** shared x, s x = [0.9; -0.91; 0.99; 0.999]; ***** test s = stk_sprintf_colvect_scientific (x, 4); ***** assert (isequal(s, ['####'; '####'; '####'; '####'])) ***** test s = stk_sprintf_colvect_scientific (x, 5); ***** assert (isequal(s, ['#####'; '#####'; '#####'; '#####'])) ***** test s = stk_sprintf_colvect_scientific (x, 6); ***** assert (isequal(s, [' 9e-01'; '-9e-01'; ' 1e+00'; ' 1e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 7); ***** assert (isequal(s, [' 9e-01'; '-9e-01'; ' 1e+00'; ' 1e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 8); ***** assert (isequal(s, [' 9.0e-01'; '-9.1e-01'; ' 9.9e-01'; ' 1.0e+00'])) ***** test x = [1e6; -1e10; 1e-221]; s = stk_sprintf_colvect_scientific(x, 10); assert(isequal(s, [' 1e+006'; '-1e+010'; ' 1e-221'])); 41 tests, 41 passed, 0 known failure, 0 skipped [inst/misc/text/stk_disp_progress.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_disp_progress.m ***** error stk_disp_progress ('toto ', 0, 1); ***** test stk_disp_progress ('toto ', 1, 1); warning: implicit conversion from numeric to char warning: called from stk_disp_progress at line 53 column 1 __test__ at line 2 column 3 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1542 column 31 toto ***** error stk_disp_progress ('toto ', 2, 1); ***** test stk_disp_progress ('toto ', 1, 2); stk_disp_progress ('toto ', 2, 2); warning: implicit conversion from numeric to char warning: called from stk_disp_progress at line 53 column 1 __test__ at line 3 column 2 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1542 column 31 toto toto 4 tests, 4 passed, 0 known failure, 0 skipped [inst/misc/text/stk_sprintf_colvect.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_sprintf_colvect.m ***** shared s ***** test s = stk_sprintf_colvect ([1 1e1], 6); ***** assert (isequal (s, [' 1'; '10'])) ***** test s = stk_sprintf_colvect ([1 1e3], 6); ***** assert (isequal (s, [' 1'; '1000'])) ***** test s = stk_sprintf_colvect ([1 1e5], 6); ***** assert (isequal (s, [' 1'; '100000'])) ***** test s = stk_sprintf_colvect ([1 1e6], 6); ***** assert (isequal (s, ['1e+00'; '1e+06'])) 8 tests, 8 passed, 0 known failure, 0 skipped [inst/core/stk_predict.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_predict.m ***** shared n, m, model, x0, x_obs, z_obs, x_prd, y_prd1, idx_obs, idx_prd n = 10; % number of observations m = n + 1; % number of predictions d = 1; % dimension of the input space x0 = stk_sampling_regulargrid(n+m, d, [0; pi]); idx_obs = (2:2:(n+m-1))'; idx_prd = (1:2:(n+m))'; x_obs = x0(idx_obs); z_obs = sin (double (x_obs)); x_prd = x0(idx_prd); model = stk_model (@stk_materncov32_iso); model.param = log ([1.0; 2.1]); ***** error y_prd1 = stk_predict (); ***** error y_prd1 = stk_predict (model); ***** test y_prd1 = stk_predict (model, x_prd); ***** error y_prd1 = stk_predict (model, data, x_prd); ***** test y_prd1 = stk_predict (model, x_obs, z_obs, x_prd); ***** error y_prd1 = stk_predict (model, [x_obs; x_obs], [z_obs; z_obs], x_prd); ***** test % nargout = 2 [y_prd1, lambda] = stk_predict (model, x_obs, z_obs, x_prd); assert (isequal (size (lambda), [n m])); ***** test % nargout = 2, compute only variances [y_prd1, lambda] = stk_predict (model, x_obs, [], x_prd); assert (isequal (size (lambda), [n m])); assert (all (isnan (y_prd1.mean))); ***** test % nargout = 3 [y_prd1, lambda, mu] = stk_predict (model, x_obs, z_obs, x_prd); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging ***** test % nargout = 4 [y_prd1, lambda, mu, K] = stk_predict (model, x_obs, z_obs, x_prd); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging assert (isequal (size (K), [m m])); ***** test % predict on large set of locations x_prd = stk_sampling_regulargrid (1e5, 1, [0; pi]); y_prd = stk_predict (model, x_obs, z_obs, x_prd); ***** test % predict on an observation point % https://sourceforge.net/p/kriging/tickets/49/ [zp, lambda] = stk_predict (model, x_obs, z_obs, x_obs(4)); assert (isequal (z_obs(4), zp.mean)) assert (isequal (zp.var, 0)) lambda_ref = zeros (n, 1); lambda_ref(4) = 1; assert (isequal (lambda, lambda_ref)) 12 tests, 12 passed, 0 known failure, 0 skipped [inst/core/stk_make_matcov.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_make_matcov.m ***** shared model, model2, x0, x1, n0, n1, d, Ka, Kb, Kc, Pa, Pb, Pc n0 = 20; n1 = 10; d = 4; model = stk_model (@stk_materncov52_aniso, d); model.lm = stk_lm_affine; model.param = log ([1.0; 2.1; 2.2; 2.3; 2.4]); model2 = model; model2.lognoisevariance = log(0.01); x0 = stk_sampling_randunif (n0, d); x1 = stk_sampling_randunif (n1, d); ***** error [KK, PP] = stk_make_matcov (); ***** error [KK, PP] = stk_make_matcov (model); ***** test [Ka, Pa] = stk_make_matcov (model, x0); % (1) ***** test [Kb, Pb] = stk_make_matcov (model, x0, x0); % (2) ***** test [Kc, Pc] = stk_make_matcov (model, x0, x1); % (3) ***** error [KK, PP] = stk_make_matcov (model, x0, x1, pi); ***** assert (isequal (size (Ka), [n0 n0])); ***** assert (isequal (size (Kb), [n0 n0])); ***** assert (isequal (size (Kc), [n0 n1])); ***** assert (isequal (size (Pa), [n0 d + 1])); ***** assert (isequal (size (Pb), [n0 d + 1])); ***** assert (isequal (size (Pc), [n0 d + 1])); ***** assert (isequal (Kb, Ka)); ***** test [Ka, Pa] = stk_make_matcov (model2, x0); % (1') ***** test [Kb, Pb] = stk_make_matcov (model2, x0, x0); % (2') ***** error assert (isequal (Kb, Ka)); ***** assert (isequal (Pa, Pb)); ***** assert (isequal (Pa, Pc)); 18 tests, 18 passed, 0 known failure, 0 skipped [inst/core/@stk_kreq_qr/stk_kreq_qr.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/@stk_kreq_qr/stk_kreq_qr.m ***** test stk_test_class ('stk_kreq_qr') 1 test, 1 passed, 0 known failure, 0 skipped [inst/core/stk_model_update.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_model_update.m ***** test x1 = (linspace (0, 1, 15))'; z1 = sin (x1); x2 = (linspace (2, 3, 15))'; z2 = sin (x2); xt = (linspace (1, 2, 15))'; zt = sin (xt); % Prior model M0 = stk_model (@stk_materncov32_iso); M0.param = log ([1.0; 2.1]); M1 = stk_model_update (M0, x1, z1); M1 = stk_model_update (M1, x2, z2); % this calls @stk_model_gpposterior/... zp1 = stk_predict (M1, xt); M2 = stk_model_gpposterior (M0, [x1; x2], [z1; z2]); zp2 = stk_predict (M2, xt); assert (stk_isequal_tolabs (double (zp2 - zp1), zeros (15, 2), 1e-10)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/core/stk_predict_leaveoneout.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_predict_leaveoneout.m ***** shared n, x_obs, z_obs, model n = 20; x_obs = stk_sampling_regulargrid (n, 1, [0; 2*pi]); z_obs = stk_feval (@sin, x_obs); model = stk_model (@stk_materncov32_iso); model.param = log ([1; 5]); ***** test % one output loo_pred = stk_predict_leaveoneout (model, x_obs, z_obs); assert (isequal (size (loo_pred), [n 2])); assert (isequal (loo_pred.colnames, {'mean', 'var'})); assert (all (isfinite (loo_pred(:)))); ***** test % two outputs [loo_pred, loo_res] = stk_predict_leaveoneout (model, x_obs, z_obs); assert (isequal (size (loo_pred), [n 2])); assert (isequal (loo_pred.colnames, {'mean', 'var'})); assert (all (isfinite (loo_pred(:)))); assert (isequal (size (loo_res), [n 2])); assert (isequal (loo_res.colnames, {'residuals', 'norm_res'})); assert (all (isfinite (loo_res(:)))); ***** test % heteroscedastic noise case model.lognoisevariance = (1 + rand (n, 1)) * 1e-6; [loo_pred, loo_res] = stk_predict_leaveoneout (model, x_obs, z_obs); assert (isequal (size (loo_pred), [n 2])); assert (isequal (loo_pred.colnames, {'mean', 'var'})); assert (all (isfinite (loo_pred(:)))); assert (isequal (size (loo_res), [n 2])); assert (isequal (loo_res.colnames, {'residuals', 'norm_res'})); assert (all (isfinite (loo_res(:)))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/core/stk_cholcov.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_cholcov.m ***** shared Q, K, L, U, epsi Q = 0.25 * hadamard(4); ***** test K = Q * diag ([1, 0.1, 0.01, 1e-7]) * Q'; [U, epsi] = stk_cholcov (K); ***** assert (istriu (U)) ***** assert (epsi == 0) ***** test K = Q * diag ([1, 0.1, 0.01, 1e-7]) * Q'; [L, epsi] = stk_cholcov (K, 'lower'); ***** assert (istril (L)) ***** assert (epsi == 0) ***** test K = Q * diag ([1, 0.1, 0.01, -1e-7]) * Q'; [U, epsi] = stk_cholcov (K); ***** assert (istriu (U)) ***** assert (epsi > 0) ***** test K = Q * diag ([1, 0.1, 0.01, -1e-7]) * Q'; [L, epsi] = stk_cholcov (K, 'lower'); ***** assert (istril (L)) ***** assert (epsi > 0) 12 tests, 12 passed, 0 known failure, 0 skipped [inst/covfcs/stk_sphcov_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_sphcov_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_sphcov_aniso (); ***** error K0 = stk_sphcov_aniso (param); ***** error K0 = stk_sphcov_aniso (param, x); ***** test K1 = stk_sphcov_aniso (param, x, y); ***** test K2 = stk_sphcov_aniso (param, x, y, -1); ***** test K3 = stk_sphcov_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_sphcov_aniso (param, u, v, -1); K2 = stk_sphcov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); assert (isequal (K1, K2)); ***** error stk_sphcov_aniso (param, x, y, -2); ***** test stk_sphcov_aniso (param, x, y, -1); ***** error stk_sphcov_aniso (param, x, y, 0); ***** test stk_sphcov_aniso (param, x, y, 1); ***** test stk_sphcov_aniso (param, x, y, 2); ***** error stk_sphcov_aniso (param, x, y, 3); ***** error stk_sphcov_aniso (param, x, y, nan); ***** error stk_sphcov_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_sphcov_aniso (param, x, y); K2 = stk_sphcov_aniso (param, x, y, -1); assert (isequal (size(K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_sphcov_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_sphcov_aniso (param, x, y); K2 = stk_sphcov_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_sphcov_aniso (param, x, y, i); dK2 = stk_sphcov_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov32_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov32_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error K = stk_materncov32_iso ([param; 1.234], x, y); ***** error stk_materncov32_iso (); ***** error stk_materncov32_iso (param); ***** error stk_materncov32_iso (param, x); ***** test stk_materncov32_iso (param, x, y); ***** test stk_materncov32_iso (param, x, y, -1); ***** test stk_materncov32_iso (param, x, y, -1, false); ***** error stk_materncov32_iso (param, x, y, -2); ***** test stk_materncov32_iso (param, x, y, -1); ***** error stk_materncov32_iso (param, x, y, 0); ***** test stk_materncov32_iso (param, x, y, 1); ***** test stk_materncov32_iso (param, x, y, 2); ***** error stk_materncov32_iso (param, x, y, 3); ***** error stk_materncov32_iso (param, x, y, nan); ***** error stk_materncov32_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov32_iso (param, x, y); K2 = stk_materncov32_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_materncov32_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_materncov32_iso (param, x, y); K2 = stk_materncov32_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_materncov32_iso (param, x, y, i); dK2 = stk_materncov32_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/covfcs/stk_expcov_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_expcov_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_expcov_aniso (); ***** error K0 = stk_expcov_aniso (param); ***** error K0 = stk_expcov_aniso (param, x); ***** test K1 = stk_expcov_aniso (param, x, y); ***** test K2 = stk_expcov_aniso (param, x, y, -1); ***** test K3 = stk_expcov_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_expcov_aniso (param, u, v, -1); K2 = stk_expcov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); ***** error stk_expcov_aniso (param, x, y, -2); ***** test stk_expcov_aniso (param, x, y, -1); ***** error stk_expcov_aniso (param, x, y, 0); ***** test stk_expcov_aniso (param, x, y, 1); ***** test stk_expcov_aniso (param, x, y, 2); ***** error stk_expcov_aniso (param, x, y, 3); ***** error stk_expcov_aniso (param, x, y, nan); ***** error stk_expcov_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_expcov_aniso (param, x, y); K2 = stk_expcov_aniso (param, x, y, -1); assert (isequal (size(K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_expcov_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_expcov_aniso (param, x, y); K2 = stk_expcov_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_expcov_aniso (param, x, y, i); dK2 = stk_expcov_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov52_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov52_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error K = stk_materncov52_iso ([param; 1.234], x, y); ***** error stk_materncov52_iso (); ***** error stk_materncov52_iso (param); ***** error stk_materncov52_iso (param, x); ***** test stk_materncov52_iso (param, x, y); ***** test stk_materncov52_iso (param, x, y, -1); ***** test stk_materncov52_iso (param, x, y, -1, false); ***** error stk_materncov52_iso (param, x, y, -2); ***** test stk_materncov52_iso (param, x, y, -1); ***** error stk_materncov52_iso (param, x, y, 0); ***** test stk_materncov52_iso (param, x, y, 1); ***** test stk_materncov52_iso (param, x, y, 2); ***** error stk_materncov52_iso (param, x, y, 3); ***** error stk_materncov52_iso (param, x, y, nan); ***** error stk_materncov52_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov52_iso (param, x, y); K2 = stk_materncov52_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_materncov52_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_materncov52_iso (param, x, y); K2 = stk_materncov52_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_materncov52_iso (param, x, y, i); dK2 = stk_materncov52_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/covfcs/stk_sphcov_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_sphcov_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error K = stk_sphcov_iso ([param; 1.234], x, y); ***** error stk_sphcov_iso (); ***** error stk_sphcov_iso (param); ***** error stk_sphcov_iso (param, x); ***** test stk_sphcov_iso (param, x, y); ***** test stk_sphcov_iso (param, x, y, -1); ***** test stk_sphcov_iso (param, x, y, -1, false); ***** error stk_sphcov_iso (param, x, y, -2); ***** test stk_sphcov_iso (param, x, y, -1); ***** error stk_sphcov_iso (param, x, y, 0); ***** test stk_sphcov_iso (param, x, y, 1); ***** test stk_sphcov_iso (param, x, y, 2); ***** error stk_sphcov_iso (param, x, y, 3); ***** error stk_sphcov_iso (param, x, y, nan); ***** error stk_sphcov_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_sphcov_iso (param, x, y); K2 = stk_sphcov_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_sphcov_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_sphcov_iso (param, x, y); K2 = stk_sphcov_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_sphcov_iso (param, x, y, i); dK2 = stk_sphcov_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/covfcs/stk_discretecov.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_discretecov.m ***** shared model, model2, x0 n0 = 20; n1 = 10; dim = 4; x0 = stk_sampling_randunif (n0, dim); x1 = stk_sampling_randunif (n1, dim); model = stk_model (@stk_materncov52_aniso, dim); model.lm = stk_lm_affine (); model.param = log ([1.0; 2.1; 2.2; 2.3; 2.4]); ***** test % without noise, pairwise = false model.lognoisevariance = - inf; model2 = stk_model (@stk_discretecov, model, x0); idx = [1 4 9]; [K1, P1] = stk_make_matcov (model, x0(idx, :)); [K2, P2] = stk_make_matcov (model2, idx'); assert (stk_isequal_tolrel (K1, K2)); assert (stk_isequal_tolrel (P1, P2)); ***** test % without noise, pairwise = true K1 = stk_make_matcov (model, x0([2 5 6], :), [], true); K2 = stk_make_matcov (model2, [2 5 6]', [], true); assert (stk_isequal_tolrel (K1, K2)); ***** test % with noise, pairwise = false model.lognoisevariance = log (0.01); model2 = stk_model (@stk_discretecov, model, x0); idx = [1 4 9]; [K1, P1] = stk_make_matcov (model, x0(idx, :)); [K2, P2] = stk_make_matcov (model2, idx'); assert (stk_isequal_tolrel (K1, K2)); assert (stk_isequal_tolrel (P1, P2)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov32_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov32_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_materncov32_aniso (); ***** error K0 = stk_materncov32_aniso (param); ***** error K0 = stk_materncov32_aniso (param, x); ***** test K1 = stk_materncov32_aniso (param, x, y); ***** test K2 = stk_materncov32_aniso (param, x, y, -1); ***** test K3 = stk_materncov32_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_materncov32_aniso (param, u, v, -1); K2 = stk_materncov32_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); assert (isequal (K1, K2)); ***** error stk_materncov32_aniso (param, x, y, -2); ***** test stk_materncov32_aniso (param, x, y, -1); ***** error stk_materncov32_aniso (param, x, y, 0); ***** test stk_materncov32_aniso (param, x, y, 1); ***** test stk_materncov32_aniso (param, x, y, 2); ***** error stk_materncov32_aniso (param, x, y, 3); ***** error stk_materncov32_aniso (param, x, y, nan); ***** error stk_materncov32_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov32_aniso (param, x, y); K2 = stk_materncov32_aniso (param, x, y, -1); assert (isequal (size(K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_materncov32_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_materncov32_aniso (param, x, y); K2 = stk_materncov32_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_materncov32_aniso (param, x, y, i); dK2 = stk_materncov32_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_noisecov.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_noisecov.m ***** shared ni, lognoisevariance, diff ni = 5; lognoisevariance = 0.0; diff = -1; ***** error K = stk_noisecov (); ***** error K = stk_noisecov (ni); ***** test K = stk_noisecov (ni, lognoisevariance); ***** test K = stk_noisecov (ni, lognoisevariance, diff); ***** test K = stk_noisecov (ni, lognoisevariance, diff, true); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/covfcs/stk_expcov_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_expcov_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error K = stk_expcov_iso ([param; 1.234], x, y); ***** error stk_expcov_iso (); ***** error stk_expcov_iso (param); ***** error stk_expcov_iso (param, x); ***** test stk_expcov_iso (param, x, y); ***** test stk_expcov_iso (param, x, y, -1); ***** test stk_expcov_iso (param, x, y, -1, false); ***** error stk_expcov_iso (param, x, y, -2); ***** test stk_expcov_iso (param, x, y, -1); ***** error stk_expcov_iso (param, x, y, 0); ***** test stk_expcov_iso (param, x, y, 1); ***** test stk_expcov_iso (param, x, y, 2); ***** error stk_expcov_iso (param, x, y, 3); ***** error stk_expcov_iso (param, x, y, nan); ***** error stk_expcov_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_expcov_iso (param, x, y); K2 = stk_expcov_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_expcov_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_expcov_iso (param, x, y); K2 = stk_expcov_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_expcov_iso (param, x, y, i); dK2 = stk_expcov_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/covfcs/stk_gausscov_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_gausscov_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_gausscov_aniso (); ***** error K0 = stk_gausscov_aniso (param); ***** error K0 = stk_gausscov_aniso (param, x); ***** test K1 = stk_gausscov_aniso (param, x, y); ***** test K2 = stk_gausscov_aniso (param, x, y, -1); ***** test K3 = stk_gausscov_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_gausscov_aniso (param, u, v, -1); K2 = stk_gausscov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); ***** error stk_gausscov_aniso (param, x, y, -2); ***** test stk_gausscov_aniso (param, x, y, -1); ***** error stk_gausscov_aniso (param, x, y, 0); ***** test stk_gausscov_aniso (param, x, y, 1); ***** test stk_gausscov_aniso (param, x, y, 2); ***** error stk_gausscov_aniso (param, x, y, 3); ***** error stk_gausscov_aniso (param, x, y, nan); ***** error stk_gausscov_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_gausscov_aniso (param, x, y); K2 = stk_gausscov_aniso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_gausscov_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_gausscov_aniso (param, x, y); K2 = stk_gausscov_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_gausscov_aniso (param, x, y, i); dK2 = stk_gausscov_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_gausscov_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_gausscov_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error K = stk_gausscov_iso ([param; 1.234], x, y); ***** error stk_gausscov_iso (); ***** error stk_gausscov_iso (param); ***** error stk_gausscov_iso (param, x); ***** test stk_gausscov_iso (param, x, y); ***** test stk_gausscov_iso (param, x, y, -1); ***** test stk_gausscov_iso (param, x, y, -1, false); ***** error stk_gausscov_iso (param, x, y, -2); ***** test stk_gausscov_iso (param, x, y, -1); ***** error stk_gausscov_iso (param, x, y, 0); ***** test stk_gausscov_iso (param, x, y, 1); ***** test stk_gausscov_iso (param, x, y, 2); ***** error stk_gausscov_iso (param, x, y, 3); ***** error stk_gausscov_iso (param, x, y, nan); ***** error stk_gausscov_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_gausscov_iso (param, x, y); K2 = stk_gausscov_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_gausscov_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_gausscov_iso (param, x, y); K2 = stk_gausscov_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_gausscov_iso (param, x, y, i); dK2 = stk_gausscov_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 1.5; 2.9]); x = stk_sampling_randunif(5, dim); y = stk_sampling_randunif(5, dim); ***** error K = stk_materncov_iso ([param; 1.234], x, y); ***** error stk_materncov_iso(); ***** error stk_materncov_iso(param); ***** error stk_materncov_iso(param, x); ***** test stk_materncov_iso(param, x, y); ***** test stk_materncov_iso(param, x, y, -1); ***** test stk_materncov_iso(param, x, y, -1, false); ***** error stk_materncov_iso(param, x, y, -2); ***** test stk_materncov_iso(param, x, y, -1); ***** error stk_materncov_iso(param, x, y, 0); ***** test stk_materncov_iso(param, x, y, 1); ***** test stk_materncov_iso(param, x, y, 2); ***** test stk_materncov_iso(param, x, y, 3); ***** error stk_materncov_iso(param, x, y, 4); ***** error stk_materncov_iso(param, x, y, nan); ***** error stk_materncov_iso(param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 1.5; 2.9]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov_iso (param, x, y); K2 = stk_materncov_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:3, dK = stk_materncov_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif(n, dim); y = stk_sampling_randunif(n, dim); K1 = stk_materncov_iso(param, x, y); K2 = stk_materncov_iso(param, x, y, -1, true); assert(isequal(size(K1), [n n])); assert(stk_isequal_tolabs(K2, diag(K1))); for i = 1:3, dK1 = stk_materncov_iso(param, x, y, i); dK2 = stk_materncov_iso(param, x, y, i, true); assert(isequal(size(dK1), [n n])); assert(stk_isequal_tolabs(dK2, diag(dK1))); end 19 tests, 19 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov52_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov52_aniso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error stk_materncov52_aniso (); ***** error stk_materncov52_aniso (param); ***** error stk_materncov52_aniso (param, x); ***** test stk_materncov52_aniso (param, x, y); ***** test stk_materncov52_aniso (param, x, y, -1); ***** test stk_materncov52_aniso (param, x, y, -1, false); ***** error stk_materncov52_aniso (param, x, y, -2); ***** test stk_materncov52_aniso (param, x, y, -1); ***** error stk_materncov52_aniso (param, x, y, 0); ***** test stk_materncov52_aniso (param, x, y, 1); ***** test stk_materncov52_aniso (param, x, y, 2); ***** error stk_materncov52_aniso (param, x, y, 3); ***** error stk_materncov52_aniso (param, x, y, nan); ***** error stk_materncov52_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov52_aniso (param, x, y); K2 = stk_materncov52_aniso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_materncov52_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_materncov52_aniso (param, x, y); K2 = stk_materncov52_aniso(param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_materncov52_aniso (param, x, y, i); dK2 = stk_materncov52_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 17 tests, 17 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_exponential.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_exponential.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_exponential (); ***** test stk_rbf_exponential (h); ***** test stk_rbf_exponential (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_exponential (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% check derivative numerically h = [-1 -0.5 -0.1 0.1 0.5 1]; delta = 1e-9; d1 = (stk_rbf_exponential (h + delta) - stk_rbf_exponential (h)) / delta; d2 = stk_rbf_exponential (h, 1); assert (stk_isequal_tolabs (d1, d2, 1e-4)); ***** test %% consistency with stk_rbf_matern: function values for h = 0.1:0.1:2.0, x = stk_rbf_matern (1/2, h); y = stk_rbf_exponential (h); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** test %% consistency with stk_rbf_matern: derivatives for h = 0.1:0.1:2.0, x = stk_rbf_matern (1/2, h, 2); y = stk_rbf_exponential (h, 1); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** assert (stk_rbf_exponential (inf) == 0) 8 tests, 8 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_gauss.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_gauss.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_gauss (); ***** test stk_rbf_gauss (h); ***** test stk_rbf_gauss (h, diff); ***** test % h = 0.0 => correlation = 1.0 x = stk_rbf_gauss (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_matern.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_matern.m ***** shared nu, h, diff nu = 1.0; h = 1.0; diff = -1; ***** error stk_rbf_matern (); ***** error stk_rbf_matern (nu); ***** test stk_rbf_matern (nu, h); ***** test stk_rbf_matern (nu, h, diff); ***** test %% h = 0.0 => correlation = 1.0 for nu = 0.1:0.2:5.0, x = stk_rbf_matern (nu, 0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); end 5 tests, 5 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_matern32.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_matern32.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_matern32 (); ***** test stk_rbf_matern32 (h); ***** test stk_rbf_matern32 (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_matern32 (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% consistency with stk_rbf_matern: function values for h = 0.1:0.1:2.0, x = stk_rbf_matern (3/2, h); y = stk_rbf_matern32 (h); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** test %% consistency with stk_rbf_matern: derivatives for h = 0.1:0.1:2.0, x = stk_rbf_matern (3/2, h, 2); y = stk_rbf_matern32 (h, 1); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** assert (stk_rbf_matern32 (inf) == 0) 7 tests, 7 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_matern52.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_matern52.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_matern52 (); ***** test stk_rbf_matern52 (h); ***** test stk_rbf_matern52 (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_matern52 (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% consistency with stk_rbf_matern: function values for h = 0.1:0.1:2.0, x = stk_rbf_matern (5/2, h); y = stk_rbf_matern52 (h); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** test %% consistency with stk_rbf_matern: derivatives for h = 0.1:0.1:2.0, x = stk_rbf_matern (5/2, h, 2); y = stk_rbf_matern52 (h, 1); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** assert (stk_rbf_matern52 (inf) == 0) 7 tests, 7 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_spherical.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_spherical.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_spherical (); ***** test stk_rbf_spherical (h); ***** test stk_rbf_spherical (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_spherical (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% check derivative numerically h = [-1 -0.5 -0.1 0.1 0.5 1]; delta = 1e-9; d1 = (stk_rbf_spherical (h + delta) - stk_rbf_spherical (h)) / delta; d2 = stk_rbf_spherical (h, 1); assert (stk_isequal_tolabs (d1, d2, 1e-4)); ***** assert (stk_rbf_spherical (inf) == 0) 6 tests, 6 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov_aniso.m ***** shared param, x, y dim = 1; param = log ([1.0; 1.5; 2.8]); x = stk_sampling_randunif(5, dim); y = stk_sampling_randunif(5, dim); ***** error stk_materncov_aniso(); ***** error stk_materncov_aniso(param); ***** error stk_materncov_aniso(param, x); ***** test stk_materncov_aniso(param, x, y); ***** test stk_materncov_aniso(param, x, y, -1); ***** test stk_materncov_aniso(param, x, y, -1, false); ***** error stk_materncov_aniso(param, x, y, -2); ***** test stk_materncov_aniso(param, x, y, -1); ***** error stk_materncov_aniso(param, x, y, 0); ***** test stk_materncov_aniso(param, x, y, 1); ***** test stk_materncov_aniso(param, x, y, 2); ***** test stk_materncov_aniso(param, x, y, 3); ***** error stk_materncov_aniso(param, x, y, 4); ***** error stk_materncov_aniso(param, x, y, nan); ***** error stk_materncov_aniso(param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 1.5; 2.8; 2.7; 2.9]); nx = 4; ny = 10; x = stk_sampling_randunif(nx, dim); y = stk_sampling_randunif(ny, dim); ***** test K1 = stk_materncov_aniso(param, x, y); K2 = stk_materncov_aniso(param, x, y, -1); assert(isequal(size(K1), [nx ny])); assert(stk_isequal_tolabs(K1, K2)); ***** test for i = 1:(dim+2), dK = stk_materncov_aniso(param, x, y, i); assert(isequal(size(dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif(n, dim); y = stk_sampling_randunif(n, dim); K1 = stk_materncov_aniso(param, x, y); K2 = stk_materncov_aniso(param, x, y, -1, true); assert(isequal(size(K1), [n n])); assert(stk_isequal_tolabs(K2, diag(K1))); for i = 1:(dim+2), dK1 = stk_materncov_aniso(param, x, y, i); dK2 = stk_materncov_aniso(param, x, y, i, true); assert(isequal(size(dK1), [n n])); assert(stk_isequal_tolabs(dK2, diag(dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_constant/stk_lm_constant.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_constant/stk_lm_constant.m ***** test stk_test_class ('stk_lm_constant') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_constant/feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_constant/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_constant (), x); assert (isequal (size (P), [n, 1])); 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_quadratic/stk_lm_quadratic.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_quadratic/stk_lm_quadratic.m ***** test stk_test_class ('stk_lm_quadratic') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_quadratic/feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_quadratic/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_quadratic (), x); assert (isequal (size (P), [n, 1 + d * (d + 3) / 2])); 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/stk_lm_polynomial.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/stk_lm_polynomial.m ***** error lm = stk_lm_polynomial (); ***** test lm = stk_lm_polynomial (-1); assert (isa (lm, 'stk_lm_null')); ***** test lm = stk_lm_polynomial (0); assert (isa (lm, 'stk_lm_constant')); ***** test lm = stk_lm_polynomial (1); assert (isa (lm, 'stk_lm_affine')); ***** test lm = stk_lm_polynomial (2); assert (isa (lm, 'stk_lm_quadratic')); ***** test lm = stk_lm_polynomial (3); assert (isa (lm, 'stk_lm_cubic')); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_matrix/stk_lm_matrix.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_matrix/stk_lm_matrix.m ***** test stk_test_class ('stk_lm_matrix') ***** test %%% dim 1 data = rand (10, 1); idx = 3:7; lm = stk_lm_matrix (data); assert (isa (lm, 'stk_lm_matrix')); assert (isequal (data(idx, :), feval (lm, idx))); ***** test %%% dim 3 data = rand (10, 3); idx = 3:7; lm = stk_lm_matrix (data); assert (isa (lm, 'stk_lm_matrix')); assert (isequal (data(idx, :), feval (lm, idx))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_cubic/stk_lm_cubic.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_cubic/stk_lm_cubic.m ***** test stk_test_class ('stk_lm_cubic') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_cubic/feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_cubic/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_cubic (), x); assert (isequal (size (P), [n, 1 + d * (11 + d * (6 + d)) / 6])) 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_affine/stk_lm_affine.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_affine/stk_lm_affine.m ***** test stk_test_class ('stk_lm_affine') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_affine/feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_affine/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_affine (), x); assert (isequal (size (P), [n, d + 1])); 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_null/stk_lm_null.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_null/stk_lm_null.m ***** test stk_test_class ('stk_lm_null') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_null/feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_null/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_null (), x); assert (isequal (size (P), [n, 0])); 1 test, 1 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_init.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_init.m ***** test xi = (1:10)'; zi = sin (xi); model = stk_model (@stk_materncov52_iso); model.param = stk_param_init (model, xi, zi, [1; 10], false); xt = (1:9)' + 0.5; zt = sin (xt); zp = stk_predict (model, xi, zi, xt); assert (sum ((zt - zp.mean) .^ 2) < 1e-3); ***** test % check equivariance of parameter estimates f = @(x) sin (x); xi = stk_sampling_regulargrid (10, 1); zi = stk_feval (f, xi); shift = 1000; scale = 0.01; model = stk_model (@stk_materncov32_iso); p1 = stk_param_init (model, xi, zi); p2 = stk_param_init (model, xi, shift + scale .* zi); assert (stk_isequal_tolabs (p2(1), p1(1) + log (scale^2), 1e-10)) assert (stk_isequal_tolabs (p2(2), p1(2), eps)) ***** shared xi, zi, BOX, xt, zt f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); DIM = 1; % Dimension of the factor space BOX = [-1.0; 1.0]; % Factor space xi = stk_sampling_regulargrid (20, DIM, BOX); % Evaluation points zi = stk_feval (f, xi); % Evaluation results NT = 400; % Number of points in the grid xt = stk_sampling_regulargrid (NT, DIM, BOX); % Generate a regular grid zt = stk_feval (f, xt); % Values of f on the grid ***** xtest % This test is known to fail in Debian buster i386 % because of a known problem in Octave's sqp/qp functions % http://savannah.gnu.org/bugs/?38875 model = stk_model (@stk_materncov_iso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 7 column 14 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1862 column 31 ***** test model = stk_model (@stk_materncov_aniso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 5 column 14 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1862 column 31 ***** test model = stk_model (@stk_materncov32_iso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) ***** test model = stk_model (@stk_materncov32_aniso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) ***** test model = stk_model (@stk_materncov52_iso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) ***** test model = stk_model (@stk_materncov52_aniso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) ***** test model = stk_model (@stk_gausscov_iso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) warning: matrix singular to machine precision, rcond = 1.21281e-17 warning: called from linsolve at line 113 column 7 linsolve at line 42 column 3 stk_set_righthandside at line 44 column 16 stk_make_kreq at line 35 column 6 stk_predict_ at line 112 column 10 stk_predict at line 104 column 16 __test__ at line 6 column 5 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1862 column 31 ***** test model = stk_model (@stk_gausscov_aniso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) warning: matrix singular to machine precision, rcond = 3.93346e-18 warning: called from linsolve at line 113 column 7 linsolve at line 42 column 3 stk_set_righthandside at line 44 column 16 stk_make_kreq at line 35 column 6 stk_predict_ at line 112 column 10 stk_predict at line 104 column 16 __test__ at line 6 column 5 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1862 column 31 ***** test % Homoscedastic case / do_estim_lnv = true model = stk_model (@stk_materncov32_iso); [model.param, model.lognoisevariance] = ... stk_param_init (model, xi, zi, BOX, true); [model.param, model.lognoisevariance] = ... stk_param_estim (model, xi, zi); zp = stk_predict (model, xi, zi, xt); assert (model.lognoisevariance > -inf); assert (max ((zp.mean - zt) .^ 2) < 1e-3) warning: This way of setting do_estim_lnv is deprecated warning: called from stk_param_init>stk_param_init_ at line 250 column 5 stk_param_init at line 87 column 18 __test__ at line 4 column 40 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1862 column 31 ***** error % Homoscedastic case / do_estim_lnv = false / model.lnv = nan model = stk_model (@stk_materncov32_iso); model.lognoisevariance = nan; % not compatible with do_estim_lnv == false [model.param, model.lognoisevariance] = ... stk_param_init (model, xi, zi, BOX, false); ***** test % Heteroscedastic case / known noise variance model = stk_model (@stk_materncov32_iso); lnv = log ((100 + rand (size (zi))) / 1e6); model.lognoisevariance = lnv; % here we say that lnv is known [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (isequal (model.lognoisevariance, lnv)); % should be untouched assert (max ((zp.mean - zt) .^ 2) < 1e-3) ***** shared model, x, z model = stk_model (@stk_materncov52_iso); n = 10; x = stk_sampling_regulargrid (n, 1, [0; 1]); z = ones (size (x)); ***** test % Constant response, noiseless model [param, lnv] = stk_param_init (model, x, z); assert ((all (isfinite (param))) && (length (param) == 2)); assert (isequal (lnv, -inf)); warning: Parameter estimation is impossible with constant-response data. warning: called from stk_param_init>paraminit_ at line 351 column 5 stk_param_init>stk_param_init_ at line 323 column 14 stk_param_init at line 87 column 18 __test__ at line 3 column 15 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1862 column 31 ***** test % Constant response, noisy model model.lognoisevariance = nan; [param, lnv] = stk_param_init (model, x, z); assert ((all (isfinite (param))) && (length (param) == 2)); assert (isscalar (lnv) && isfinite (lnv)); warning: Parameter estimation is impossible with constant-response data. warning: called from stk_param_init>paraminit_ at line 351 column 5 stk_param_init>stk_param_init_ at line 323 column 14 stk_param_init at line 87 column 18 __test__ at line 4 column 15 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1862 column 31 15 tests, 15 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_gls.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_gls.m ***** shared xi, zi, model, beta, sigma2 xi = (1:10)'; zi = sin (xi); model = stk_model (@stk_materncov52_iso); model.param = [0.0 0.0]; ***** test model.lm = stk_lm_constant (); [beta, sigma2] = stk_param_gls (model, xi, zi); ***** assert (stk_isequal_tolabs (beta, 0.1346064, 1e-6)) ***** assert (stk_isequal_tolabs (sigma2, 0.4295288, 1e-6)) ***** test model.lm = stk_lm_affine (); [beta, sigma2] = stk_param_gls (model, xi, zi); ***** assert (stk_isequal_tolabs (beta, [0.4728342; -0.0614960], 1e-6)) ***** assert (stk_isequal_tolabs (sigma2, 0.4559431, 1e-6)) ***** test model.lm = stk_lm_null (); [beta, sigma2] = stk_param_gls (model, xi, zi); ***** assert (isequal (beta, zeros (0, 1))) ***** assert (stk_isequal_tolabs (sigma2, 0.3977993, 1e-6)) 9 tests, 9 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_relik.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_relik.m ***** shared f, xi, zi, NI, model, C, dC1, dC2 f = @(x)(- (0.8 * x(:, 1) + sin (5 * x(:, 2) + 1) ... + 0.1 * sin (10 * x(:, 3)))); DIM = 3; NI = 20; box = repmat ([-1.0; 1.0], 1, DIM); xi = stk_sampling_halton_rr2 (NI, DIM, box); zi = stk_feval (f, xi); SIGMA2 = 1.0; % variance parameter NU = 4.0; % regularity parameter RHO1 = 0.4; % scale (range) parameter model = stk_model (@stk_materncov_aniso); model.param = log ([SIGMA2; NU; 1/RHO1 * ones(DIM, 1)]); ***** error [C, dC1, dC2] = stk_param_relik (); ***** error [C, dC1, dC2] = stk_param_relik (model); ***** error [C, dC1, dC2] = stk_param_relik (model, xi); ***** test [C, dC1, dC2] = stk_param_relik (model, xi, zi); ***** test TOL_REL = 0.01; assert (stk_isequal_tolrel (C, 21.6, TOL_REL)); assert (stk_isequal_tolrel (dC1, [4.387 -0.1803 0.7917 0.1392 2.580]', TOL_REL)); assert (isequal (dC2, [])); ***** shared xi, zi, model, TOL_REL xi = [-1 -.6 -.2 .2 .6 1]'; zi = [-0.11 1.30 0.23 -1.14 0.36 -0.37]'; model = stk_model (@stk_materncov_iso); model.param = log ([1.0 4.0 2.5]); model.lognoisevariance = log (0.01); TOL_REL = 0.01; ***** test % Another simple 1D check [C, dC1, dC2] = stk_param_relik (model, xi, zi); assert (stk_isequal_tolrel (C, 6.327, TOL_REL)); assert (stk_isequal_tolrel (dC1, [0.268 0.0149 -0.636]', TOL_REL)); assert (stk_isequal_tolrel (dC2, -1.581e-04, TOL_REL)); ***** test % Same 1D test with simple kriging model.lm = stk_lm_null; [C, dC1, dC2] = stk_param_relik (model, xi, zi); assert (stk_isequal_tolrel (C, 7.475, TOL_REL)); assert (stk_isequal_tolrel (dC1, [0.765 0.0238 -1.019]', TOL_REL)); assert (stk_isequal_tolrel (dC2, 3.0517e-03, TOL_REL)); ***** test % Check the gradient on a 2D test case f = @stk_testfun_braninhoo; DIM = 2; BOX = [[-5; 10], [0; 15]]; NI = 20; TOL_REL = 1e-2; DELTA = 1e-6; model = stk_model (@stk_materncov52_iso, DIM); model.param = [1 1]; xi = stk_sampling_halton_rr2 (NI, DIM, BOX); zi = stk_feval (f, xi); for range = [0.3 2 10] model.param(2) = - log (range); for diff = 1:2 assert (stk_test_critgrad ... (@stk_param_relik, model, xi, zi, diff, 1e-6)); end end 8 tests, 8 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_init_lnv.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_init_lnv.m ***** test f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); ni = 20; xi = (linspace (-1, 1, ni))' + 0.2 * (randn (ni, 1)); zi = stk_feval (f, xi); model = stk_model (@stk_materncov_iso); model.param = log ([1; 5/2; 1/0.4]); model.lognoisevariance = nan; lnv = stk_param_init_lnv (model, xi, zi); assert ((isscalar (lnv)) && (lnv > -30) && (lnv < 30)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_estim.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_estim.m ***** shared f, xi, zi, NI, param0, param1, model f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x)) ); DIM = 1; NI = 20; box = [-1.0; 1.0]; xi = stk_sampling_regulargrid (NI, DIM, box); SIGMA2 = 1.0; % variance parameter NU = 4.0; % regularity parameter RHO1 = 0.4; % scale (range) parameter param0 = log ([SIGMA2; NU; 1/RHO1]); model = stk_model (@stk_materncov_iso); ***** test % noiseless zi = stk_feval (f, xi); param1 = stk_param_estim (model, xi, zi, param0); assert (isequal (size (param1), size (param0))) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 4 column 9 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1894 column 31 ***** test % same thing, with empty lnv0 (ok) param2 = stk_param_estim (model, xi, zi, param0, []); assert (stk_isequal_tolrel (param2, param1, 1e-2)) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 3 column 9 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1894 column 31 ***** error % same thing, with lnv0 == NaN (not ok as a starting point) param2 = stk_param_estim (model, xi, zi, param0, nan); ***** error % same thing, with lnv0 == -inf (not ok as a starting point) param2 = stk_param_estim (model, xi, zi, param0, -inf); ***** test % same thing, with explicit value for 'criterion' param2 = stk_param_estim (model, xi, zi, param0, [], @stk_param_relik); assert (stk_isequal_tolrel (param1, param2, 1e-2)) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 3 column 9 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1894 column 31 ***** test % noiseless zi = stk_feval (f, xi); param1 = stk_param_estim (model, xi, zi, param0); param2 = stk_param_estim (model, xi, zi, param0, [], @stk_param_relik); % We cannot assume a DETERMINISTIC optimization algorithm % (for some reason, Octave's sqp is not exactly deterministic) assert (stk_isequal_tolrel (param1, param2, 1e-2)) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 4 column 9 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1894 column 31 warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 5 column 9 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1894 column 31 ***** test % noisy NOISE_STD_TRUE = 0.1; NOISE_STD_INIT = 1e-5; zi = zi + NOISE_STD_TRUE * randn(NI, 1); model.lognoisevariance = 2 * log(NOISE_STD_INIT); [param, lnv] = stk_param_estim ... (model, xi, zi, param0, model.lognoisevariance); ***** error param = stk_param_estim () ***** error param = stk_param_estim (model); ***** error param = stk_param_estim (model, xi); ***** test % Constant response model = stk_model (@stk_materncov52_iso); n = 10; x = stk_sampling_regulargrid (n, 1, [0; 1]); z = ones (size (x)); param = stk_param_estim (model, x, z); assert ((all (isfinite (param))) && (length (param) == 2)); warning: Constant-response data: the output of stk_param_estim is likely to be unreliable. warning: called from stk_param_estim at line 95 column 5 __test__ at line 5 column 8 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1894 column 31 warning: Parameter estimation is impossible with constant-response data. warning: called from stk_param_init>paraminit_ at line 351 column 5 stk_param_init>stk_param_init_ at line 323 column 14 stk_param_init at line 87 column 18 stk_param_estim>provide_starting_point at line 205 column 20 stk_param_estim at line 110 column 30 __test__ at line 5 column 8 test at line 682 column 11 /tmp/tmp.iRzA5NPJlN at line 1894 column 31 11 tests, 11 passed, 0 known failure, 0 skipped Checking C++ files ... Done running the unit tests. Summary: 1558 tests, 1558 passed, 0 known failures, 0 skipped dh_installdocs -O--buildsystem=octave dh_installchangelogs -O--buildsystem=octave dh_octave_changelogs -O--buildsystem=octave dh_octave_examples -O--buildsystem=octave dh_installsystemduser -O--buildsystem=octave dh_lintian -O--buildsystem=octave dh_perl -O--buildsystem=octave dh_link -O--buildsystem=octave dh_strip_nondeterminism -O--buildsystem=octave dh_compress -O--buildsystem=octave dh_fixperms -O--buildsystem=octave dh_missing -O--buildsystem=octave dh_dwz -a -O--buildsystem=octave dh_strip -a -O--buildsystem=octave dh_makeshlibs -a -O--buildsystem=octave dh_shlibdeps -a -O--buildsystem=octave dh_octave_substvar -O--buildsystem=octave dh_installdeb -O--buildsystem=octave dh_gencontrol -O--buildsystem=octave dpkg-gencontrol: warning: package octave-stk: substitution variable ${octave:Upstream-Description} unused, but is defined dh_md5sums -O--buildsystem=octave dh_builddeb -O--buildsystem=octave dpkg-deb: building package 'octave-stk' in '../octave-stk_2.8.1-3_amd64.deb'. dpkg-deb: building package 'octave-stk-dbgsym' in '../octave-stk-dbgsym_2.8.1-3_amd64.deb'. dpkg-genbuildinfo --build=binary -O../octave-stk_2.8.1-3_amd64.buildinfo dpkg-genchanges --build=binary -O../octave-stk_2.8.1-3_amd64.changes dpkg-genchanges: info: binary-only upload (no source code included) dpkg-source --after-build . dpkg-buildpackage: info: binary-only upload (no source included) dpkg-genchanges: info: not including original source code in upload I: copying local configuration 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/270968 and its subdirectories I: Current time: Mon Nov 25 13:09:15 -12 2024 I: pbuilder-time-stamp: 1732583355 Tue Nov 26 01:09:17 UTC 2024 I: 1st build successful. Starting 2nd build on remote node infom02-amd64.debian.net. Tue Nov 26 01:09:17 UTC 2024 I: Preparing to do remote build '2' on infom02-amd64.debian.net. Tue Nov 26 01:09:17 UTC 2024 - checking /var/lib/jenkins/offline_nodes if infom02-amd64.debian.net is marked as down. Tue Nov 26 01:09:17 UTC 2024 - checking via ssh if infom02-amd64.debian.net is up. removed '/tmp/read-only-fs-test-8k9kIL' ==================================================================================== Mon Dec 29 07:32:18 UTC 2025 - running /srv/jenkins/bin/reproducible_build.sh (for job /srv/jenkins/bin/reproducible_build.sh) on infom02-amd64, called using "2 octave-stk trixie /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7 2.8.1-3" as arguments. Mon Dec 29 07:32:18 UTC 2025 - actually running "reproducible_build.sh" (md5sum 68e686e434c9ab7bc3ec047d8b309cbc) as "/tmp/jenkins-script-OWW1OCp0" $ git clone https://salsa.debian.org/qa/jenkins.debian.net.git ; more CONTRIBUTING Mon Dec 29 07:32:18 UTC 2025 I: Downloading source for trixie/octave-stk=2.8.1-3 Reading package lists... NOTICE: 'octave-stk' packaging is maintained in the 'Git' version control system at: https://salsa.debian.org/pkg-octave-team/octave-stk.git Please use: git clone https://salsa.debian.org/pkg-octave-team/octave-stk.git to retrieve the latest (possibly unreleased) updates to the package. Need to get 396 kB of source archives. Get:1 http://deb.debian.org/debian trixie/main octave-stk 2.8.1-3 (dsc) [2149 B] Get:2 http://deb.debian.org/debian trixie/main octave-stk 2.8.1-3 (tar) [389 kB] Get:3 http://deb.debian.org/debian trixie/main octave-stk 2.8.1-3 (diff) [4988 B] Fetched 396 kB in 0s (4703 kB/s) Download complete and in download only mode Reading package lists... NOTICE: 'octave-stk' packaging is maintained in the 'Git' version control system at: https://salsa.debian.org/pkg-octave-team/octave-stk.git Please use: git clone https://salsa.debian.org/pkg-octave-team/octave-stk.git to retrieve the latest (possibly unreleased) updates to the package. Need to get 396 kB of source archives. Get:1 http://deb.debian.org/debian trixie/main octave-stk 2.8.1-3 (dsc) [2149 B] Get:2 http://deb.debian.org/debian trixie/main octave-stk 2.8.1-3 (tar) [389 kB] Get:3 http://deb.debian.org/debian trixie/main octave-stk 2.8.1-3 (diff) [4988 B] Fetched 396 kB in 0s (4703 kB/s) Download complete and in download only mode ============================================================================= Re-Building octave-stk in trixie on amd64 on infom02-amd64 now. Date: Mon Dec 29 07:32:19 UTC 2025 Date UTC: Mon Dec 29 07:32:19 UTC 2025 ============================================================================= ++ mktemp -t pbuilderrc_XXXX --tmpdir=/srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7 + local TMPCFG=/srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/pbuilderrc_MMYk + case ${ARCH} in + case $ARCH in + locale=et_EE + language=et + case "${SUITE}" in + reproducible_buildflags=+all + extra_deb_build_options= + case "${SRCPACKAGE}" in + cat + echo BUILDDIR=/build/reproducible-path + '[' octave-stk = debian-installer -o octave-stk = debian-installer-netboot-images ']' + pbuilder_options=() + local pbuilder_options + DEBBUILDOPTS=-b + BINARYTARGET= + '[' octave-stk = u-boot ']' + case "${SRCPACKAGE}" in + PBUILDERTIMEOUT=24 + local PRESULT=0 + sudo timeout -k 24.1h 24h /usr/bin/ionice -c 3 /usr/bin/nice -n 11 /usr/bin/unshare --uts -- /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/pbuilderrc_MMYk --distribution trixie --hookdir /etc/pbuilder/rebuild-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/trixie-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/b2 --logfile b2/build.log octave-stk_2.8.1-3.dsc W: /root/.pbuilderrc does not exist I: Logging to b2/build.log I: pbuilder: network access will be disabled during build I: Current time: Mon Dec 29 21:32:19 +14 2025 I: pbuilder-time-stamp: 1766993539 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/trixie-reproducible-base.tgz] I: copying local configuration W: --override-config is not set; not updating apt.conf Read the manpage for details. I: mounting /proc filesystem I: mounting /sys filesystem I: creating /{dev,run}/shm I: mounting /dev/pts filesystem I: redirecting /dev/ptmx to /dev/pts/ptmx I: policy-rc.d already exists I: Copying source file I: copying [octave-stk_2.8.1-3.dsc] I: copying [./octave-stk_2.8.1.orig.tar.gz] I: copying [./octave-stk_2.8.1-3.debian.tar.xz] I: Extracting source gpgv: Signature made Wed Jun 19 17:27:05 2024 gpgv: using RSA key 3F464391498FE874BDB5D98F2124AA1983785C90 gpgv: issuer "rafael@debian.org" gpgv: Can't check signature: No public key dpkg-source: warning: cannot verify inline signature for ./octave-stk_2.8.1-3.dsc: no acceptable signature found dpkg-source: info: extracting octave-stk in octave-stk-2.8.1 dpkg-source: info: unpacking octave-stk_2.8.1.orig.tar.gz dpkg-source: info: unpacking octave-stk_2.8.1-3.debian.tar.xz dpkg-source: info: using patch list from debian/patches/series dpkg-source: info: applying 0003-Mark-expected-failure.patch I: Not using root during the build. I: Installing the build-deps I: user script /srv/workspace/pbuilder/3994332/tmp/hooks/D01_modify_environment starting debug: Running on infom02-amd64. I: Changing host+domainname to test build reproducibility I: Adding a custom variable just for the fun of it... I: Changing /bin/sh to bash '/bin/sh' -> '/bin/bash' lrwxrwxrwx 1 root root 9 Dec 29 07:32 /bin/sh -> /bin/bash I: Setting pbuilder2's login shell to /bin/bash I: Setting pbuilder2's GECOS to second user,second room,second work-phone,second home-phone,second other I: user script /srv/workspace/pbuilder/3994332/tmp/hooks/D01_modify_environment finished I: user script /srv/workspace/pbuilder/3994332/tmp/hooks/D02_print_environment starting I: set BASH=/bin/sh BASHOPTS=checkwinsize:cmdhist:complete_fullquote:extquote:force_fignore:globasciiranges:globskipdots:hostcomplete:interactive_comments:patsub_replacement:progcomp:promptvars:sourcepath BASH_ALIASES=() BASH_ARGC=() BASH_ARGV=() BASH_CMDS=() BASH_LINENO=([0]="12" [1]="0") BASH_LOADABLES_PATH=/usr/local/lib/bash:/usr/lib/bash:/opt/local/lib/bash:/usr/pkg/lib/bash:/opt/pkg/lib/bash:. BASH_SOURCE=([0]="/tmp/hooks/D02_print_environment" [1]="/tmp/hooks/D02_print_environment") BASH_VERSINFO=([0]="5" [1]="2" [2]="32" [3]="1" [4]="release" [5]="x86_64-pc-linux-gnu") BASH_VERSION='5.2.32(1)-release' BUILDDIR=/build/reproducible-path BUILDUSERGECOS='second user,second room,second work-phone,second home-phone,second other' BUILDUSERNAME=pbuilder2 BUILD_ARCH=amd64 DEBIAN_FRONTEND=noninteractive DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all parallel=12 ' DIRSTACK=() DISTRIBUTION=trixie EUID=0 FUNCNAME=([0]="Echo" [1]="main") GROUPS=() HOME=/root HOSTNAME=i-capture-the-hostname HOSTTYPE=x86_64 HOST_ARCH=amd64 IFS=' ' INVOCATION_ID=e78323f9967744e188801a7b4889287e LANG=C LANGUAGE=et_EE:et LC_ALL=C MACHTYPE=x86_64-pc-linux-gnu MAIL=/var/mail/root OPTERR=1 OPTIND=1 OSTYPE=linux-gnu PATH=/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path PBCURRENTCOMMANDLINEOPERATION=build PBUILDER_OPERATION=build PBUILDER_PKGDATADIR=/usr/share/pbuilder PBUILDER_PKGLIBDIR=/usr/lib/pbuilder PBUILDER_SYSCONFDIR=/etc PIPESTATUS=([0]="0") POSIXLY_CORRECT=y PPID=3994332 PS4='+ ' PWD=/ SHELL=/bin/bash SHELLOPTS=braceexpand:errexit:hashall:interactive-comments:posix SHLVL=3 SUDO_COMMAND='/usr/bin/timeout -k 24.1h 24h /usr/bin/ionice -c 3 /usr/bin/nice -n 11 /usr/bin/unshare --uts -- /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/pbuilderrc_MMYk --distribution trixie --hookdir /etc/pbuilder/rebuild-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/trixie-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/b2 --logfile b2/build.log octave-stk_2.8.1-3.dsc' SUDO_GID=109 SUDO_UID=104 SUDO_USER=jenkins TERM=unknown TZ=/usr/share/zoneinfo/Etc/GMT-14 UID=0 USER=root _='I: set' I: uname -a Linux i-capture-the-hostname 6.11.5+bpo-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.11.5-1~bpo12+1 (2024-11-11) x86_64 GNU/Linux I: ls -l /bin lrwxrwxrwx 1 root root 7 Aug 4 2024 /bin -> usr/bin I: user script /srv/workspace/pbuilder/3994332/tmp/hooks/D02_print_environment finished -> Attempting to satisfy build-dependencies -> Creating pbuilder-satisfydepends-dummy package Package: pbuilder-satisfydepends-dummy Version: 0.invalid.0 Architecture: amd64 Maintainer: Debian Pbuilder Team Description: Dummy package to satisfy dependencies with aptitude - created by pbuilder This package was created automatically by pbuilder to satisfy the build-dependencies of the package being currently built. Depends: debhelper-compat (= 13), dh-sequence-octave dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'. Selecting previously unselected package pbuilder-satisfydepends-dummy. (Reading database ... 19969 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-octave; however: Package dh-sequence-octave 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: aglfn{a} appstream{a} autoconf{a} automake{a} autopoint{a} autotools-dev{a} bsdextrautils{a} ca-certificates{a} cme{a} comerr-dev{a} debhelper{a} dh-autoreconf{a} dh-octave{a} dh-octave-autopkgtest{a} dh-strip-nondeterminism{a} diffstat{a} dwz{a} file{a} fontconfig{a} fontconfig-config{a} fonts-dejavu-core{a} fonts-dejavu-mono{a} fonts-freefont-otf{a} gettext{a} gettext-base{a} gfortran{a} gfortran-14{a} gfortran-14-x86-64-linux-gnu{a} gfortran-x86-64-linux-gnu{a} gnuplot-data{a} gnuplot-nox{a} gpg{a} gpgconf{a} groff-base{a} hdf5-helpers{a} intltool-debian{a} iso-codes{a} krb5-multidev{a} libabsl20230802{a} libaec-dev{a} libaec0{a} libalgorithm-c3-perl{a} libaliased-perl{a} libamd3{a} libaom3{a} libapp-cmd-perl{a} libappstream5{a} libapt-pkg-perl{a} libarchive-zip-perl{a} libarpack2t64{a} libarray-intspan-perl{a} libasound2-data{a} libasound2t64{a} libassuan9{a} libavahi-client3{a} libavahi-common-data{a} libavahi-common3{a} libavif16{a} libb-hooks-endofscope-perl{a} libb-hooks-op-check-perl{a} libb2-1{a} libberkeleydb-perl{a} libblas-dev{a} libblas3{a} libboolean-perl{a} libbrotli-dev{a} libbrotli1{a} libcairo2{a} libcamd3{a} libcapture-tiny-perl{a} libcarp-assert-more-perl{a} libccolamd3{a} libcgi-pm-perl{a} libcholmod5{a} libclass-c3-perl{a} libclass-data-inheritable-perl{a} libclass-inspector-perl{a} libclass-load-perl{a} libclass-method-modifiers-perl{a} libclass-xsaccessor-perl{a} libclone-choose-perl{a} libclone-perl{a} libcolamd3{a} libcom-err2{a} libconfig-model-backend-yaml-perl{a} libconfig-model-dpkg-perl{a} libconfig-model-perl{a} libconfig-tiny-perl{a} libconst-fast-perl{a} libconvert-binhex-perl{a} libcpanel-json-xs-perl{a} libcups2t64{a} libcurl3t64-gnutls{a} libcurl4-openssl-dev{a} libcurl4t64{a} libcxsparse4{a} libdata-dpath-perl{a} libdata-messagepack-perl{a} libdata-optlist-perl{a} libdata-section-perl{a} libdata-validate-domain-perl{a} libdata-validate-ip-perl{a} libdata-validate-uri-perl{a} libdatrie1{a} libdav1d7{a} libdbus-1-3{a} libde265-0{a} libdebhelper-perl{a} libdeflate0{a} libdevel-callchecker-perl{a} libdevel-size-perl{a} libdevel-stacktrace-perl{a} libdouble-conversion3{a} libdrm-amdgpu1{a} libdrm-common{a} libdrm-intel1{a} libdrm-radeon1{a} libdrm2{a} libduktape207{a} libdynaloader-functions-perl{a} libedit2{a} libegl-mesa0{a} libegl1{a} libelf1t64{a} libemail-address-xs-perl{a} libencode-locale-perl{a} liberror-perl{a} libevdev2{a} libevent-2.1-7t64{a} libexception-class-perl{a} libexpat1{a} libexporter-lite-perl{a} libexporter-tiny-perl{a} libfeature-compat-class-perl{a} libfeature-compat-try-perl{a} libfftw3-bin{a} libfftw3-dev{a} libfftw3-double3{a} libfftw3-long3{a} libfftw3-quad3{a} libfftw3-single3{a} libfile-basedir-perl{a} libfile-find-rule-perl{a} libfile-homedir-perl{a} libfile-listing-perl{a} libfile-sharedir-perl{a} libfile-stripnondeterminism-perl{a} libfile-which-perl{a} libflac12t64{a} libfltk-gl1.3t64{a} libfltk1.3t64{a} libfont-ttf-perl{a} libfontconfig1{a} libfreetype6{a} libfribidi0{a} libgav1-1{a} libgbm1{a} libgd3{a} libgetopt-long-descriptive-perl{a} libgfortran-14-dev{a} libgfortran5{a} libgif7{a} libgl-dev{a} libgl1{a} libgl1-mesa-dri{a} libgl2ps1.4{a} libglapi-mesa{a} libglib2.0-0t64{a} libglpk40{a} libglu1-mesa{a} libglvnd0{a} libglx-dev{a} libglx-mesa0{a} libglx0{a} libgmp-dev{a} libgmpxx4ldbl{a} libgnutls-dane0t64{a} libgnutls-openssl27t64{a} libgnutls28-dev{a} libgraphicsmagick++-q16-12t64{a} libgraphicsmagick-q16-3t64{a} libgraphite2-3{a} libgssapi-krb5-2{a} libgssrpc4t64{a} libgudev-1.0-0{a} libharfbuzz0b{a} libhash-merge-perl{a} libhdf5-103-1t64{a} libhdf5-cpp-103-1t64{a} libhdf5-dev{a} libhdf5-fortran-102t64{a} libhdf5-hl-100t64{a} libhdf5-hl-cpp-100t64{a} libhdf5-hl-fortran-100t64{a} libheif-plugin-dav1d{a} libheif-plugin-libde265{a} libheif1{a} libhtml-form-perl{a} libhtml-html5-entities-perl{a} libhtml-parser-perl{a} libhtml-tagset-perl{a} libhtml-tokeparser-simple-perl{a} libhtml-tree-perl{a} libhttp-cookies-perl{a} libhttp-date-perl{a} libhttp-message-perl{a} libhttp-negotiate-perl{a} libhwy1t64{a} libice6{a} libicu72{a} libidn2-dev{a} libimagequant0{a} libimath-3-1-29t64{a} libimport-into-perl{a} libindirect-perl{a} libinput-bin{a} libinput10{a} libio-html-perl{a} libio-interactive-perl{a} libio-socket-ssl-perl{a} libio-string-perl{a} libio-stringy-perl{a} libio-tiecombine-perl{a} libipc-run3-perl{a} libipc-system-simple-perl{a} libiterator-perl{a} libiterator-util-perl{a} libjack-jackd2-0{a} libjbig0{a} libjpeg-dev{a} libjpeg62-turbo{a} libjpeg62-turbo-dev{a} libjson-maybexs-perl{a} libjson-perl{a} libjxl0.9{a} libk5crypto3{a} libkadm5clnt-mit12{a} libkadm5srv-mit12{a} libkdb5-10t64{a} libkeyutils1{a} libkrb5-3{a} libkrb5-dev{a} libkrb5support0{a} liblapack-dev{a} liblapack3{a} liblcms2-2{a} libldap-2.5-0{a} libldap-dev{a} liblerc4{a} liblist-compare-perl{a} liblist-moreutils-perl{a} liblist-moreutils-xs-perl{a} liblist-someutils-perl{a} liblist-utilsby-perl{a} libllvm19{a} liblog-any-adapter-screen-perl{a} liblog-any-perl{a} liblog-log4perl-perl{a} libltdl7{a} liblua5.4-0{a} liblwp-mediatypes-perl{a} liblwp-protocol-https-perl{a} liblz1{a} liblzo2-2{a} libmagic-mgc{a} libmagic1t64{a} libmailtools-perl{a} libmarkdown2{a} libmd4c0{a} libmime-tools-perl{a} libmldbm-perl{a} libmodule-implementation-perl{a} libmodule-pluggable-perl{a} libmodule-runtime-perl{a} libmoo-perl{a} libmoox-aliases-perl{a} libmouse-perl{a} libmousex-nativetraits-perl{a} libmousex-strictconstructor-perl{a} libmp3lame0{a} libmpg123-0t64{a} libmro-compat-perl{a} libmtdev1t64{a} libnamespace-clean-perl{a} libncurses-dev{a} libncurses6{a} libnet-domain-tld-perl{a} libnet-http-perl{a} libnet-ipv6addr-perl{a} libnet-netmask-perl{a} libnet-smtp-ssl-perl{a} libnet-ssleay-perl{a} libnetaddr-ip-perl{a} libnghttp2-14{a} libnghttp2-dev{a} libnghttp3-9{a} libngtcp2-16{a} libngtcp2-crypto-gnutls8{a} libnumber-compare-perl{a} libobject-pad-perl{a} libogg0{a} libopenexr-3-1-30{a} libopengl0{a} libopus0{a} libp11-kit-dev{a} libpackage-stash-perl{a} libpango-1.0-0{a} libpangocairo-1.0-0{a} libpangoft2-1.0-0{a} libparams-classify-perl{a} libparams-util-perl{a} libparams-validate-perl{a} libparse-debcontrol-perl{a} libparse-recdescent-perl{a} libpath-iterator-rule-perl{a} libpath-tiny-perl{a} libpciaccess0{a} libpcre2-16-0{a} libperlio-gzip-perl{a} libperlio-utf8-strict-perl{a} libpipeline1{a} libpixman-1-0{a} libpkgconf3{a} libpng16-16t64{a} libpod-constants-perl{a} libpod-parser-perl{a} libpod-pom-perl{a} libportaudio2{a} libproc-processtable-perl{a} libproxy1v5{a} libpsl-dev{a} libpsl5t64{a} libqhull-r8.0{a} libqrupdate1{a} libqscintilla2-qt6-15{a} libqscintilla2-qt6-l10n{a} libqt6core5compat6{a} libqt6core6t64{a} libqt6dbus6{a} libqt6gui6{a} libqt6help6{a} libqt6network6{a} libqt6opengl6{a} libqt6openglwidgets6{a} libqt6printsupport6{a} libqt6sql6{a} libqt6widgets6{a} libqt6xml6{a} libraqm0{a} librav1e0.7{a} libreadline-dev{a} libreadline8t64{a} libregexp-common-perl{a} libregexp-pattern-license-perl{a} libregexp-pattern-perl{a} libregexp-wildcards-perl{a} librole-tiny-perl{a} librtmp-dev{a} librtmp1{a} libsamplerate0{a} libsasl2-2{a} libsasl2-modules-db{a} libsensors-config{a} libsensors5{a} libsereal-decoder-perl{a} libsereal-encoder-perl{a} libset-intspan-perl{a} libsharpyuv0{a} libsm6{a} libsndfile1{a} libsoftware-copyright-perl{a} libsoftware-license-perl{a} libsoftware-licensemoreutils-perl{a} libsort-versions-perl{a} libspqr4{a} libssh2-1-dev{a} libssh2-1t64{a} libssl-dev{a} libstemmer0d{a} libstrictures-perl{a} libstring-copyright-perl{a} libstring-escape-perl{a} libstring-license-perl{a} libstring-rewriteprefix-perl{a} libsub-exporter-perl{a} libsub-exporter-progressive-perl{a} libsub-identify-perl{a} libsub-install-perl{a} libsub-name-perl{a} libsub-quote-perl{a} libsub-uplevel-perl{a} libsuitesparseconfig7{a} libsvtav1enc2{a} libsyntax-keyword-try-perl{a} libsz2{a} libtasn1-6-dev{a} libterm-readkey-perl{a} libtest-exception-perl{a} libtext-autoformat-perl{a} libtext-glob-perl{a} libtext-levenshtein-damerau-perl{a} libtext-levenshteinxs-perl{a} libtext-markdown-discount-perl{a} libtext-reform-perl{a} libtext-template-perl{a} libtext-unidecode-perl{a} libtext-xslate-perl{a} libthai-data{a} libthai0{a} libtiff6{a} libtime-duration-perl{a} libtime-moment-perl{a} libtimedate-perl{a} libtoml-tiny-perl{a} libtool{a} libtry-tiny-perl{a} libts0t64{a} libuchardet0{a} libumfpack6{a} libunbound8{a} libunicode-utf8-perl{a} liburi-perl{a} libvariable-magic-perl{a} libvorbis0a{a} libvorbisenc2{a} libvulkan1{a} libwacom-common{a} libwacom9{a} libwayland-client0{a} libwayland-server0{a} libwebp7{a} libwebpmux3{a} libwmflite-0.2-7{a} libwww-mechanize-perl{a} libwww-perl{a} libwww-robotrules-perl{a} libx11-6{a} libx11-data{a} libx11-dev{a} libx11-xcb1{a} libxau-dev{a} libxau6{a} libxcb-cursor0{a} libxcb-dri2-0{a} libxcb-dri3-0{a} libxcb-glx0{a} libxcb-icccm4{a} libxcb-image0{a} libxcb-keysyms1{a} libxcb-present0{a} libxcb-randr0{a} libxcb-render-util0{a} libxcb-render0{a} libxcb-shape0{a} libxcb-shm0{a} libxcb-sync1{a} libxcb-util1{a} libxcb-xfixes0{a} libxcb-xinput0{a} libxcb-xkb1{a} libxcb1{a} libxcb1-dev{a} libxcursor1{a} libxdmcp-dev{a} libxdmcp6{a} libxext6{a} libxfixes3{a} libxft2{a} libxinerama1{a} libxkbcommon-x11-0{a} libxkbcommon0{a} libxml-libxml-perl{a} libxml-namespacesupport-perl{a} libxml-sax-base-perl{a} libxml-sax-perl{a} libxml2{a} libxmlb2{a} libxpm4{a} libxrender1{a} libxs-parse-keyword-perl{a} libxs-parse-sublike-perl{a} libxshmfence1{a} libxxf86vm1{a} libyaml-0-2{a} libyaml-libyaml-perl{a} libyaml-pp-perl{a} libyaml-tiny-perl{a} libyuv0{a} libz3-4{a} libzstd-dev{a} licensecheck{a} lintian{a} lzop{a} m4{a} man-db{a} mesa-libgallium{a} netbase{a} nettle-dev{a} octave{a} octave-common{a} octave-dev{a} openssl{a} patchutils{a} perl-openssl-defaults{a} pkgconf{a} pkgconf-bin{a} plzip{a} po-debconf{a} readline-common{a} sensible-utils{a} shared-mime-info{a} t1utils{a} tex-common{a} texinfo{a} texinfo-lib{a} ucf{a} unzip{a} x11-common{a} x11proto-dev{a} xkb-data{a} xorg-sgml-doctools{a} xtrans-dev{a} zlib1g-dev{a} The following packages are RECOMMENDED but will NOT be installed: alsa-topology-conf alsa-ucm-conf bash-completion curl dbus default-jre-headless epstool fonts-liberation fonts-urw-base35 ghostscript gnupg groff krb5-locales libarchive-cpio-perl libauthen-sasl-perl libblis4 libcgi-fast-perl libclass-c3-xs-perl libconfig-model-approx-perl libconfig-model-lcdproc-perl libconfig-model-openssh-perl libconfig-model-systemd-perl libconfig-model-tkui-perl libdata-dump-perl libfreezethaw-perl libfuse-perl libglib2.0-data libgpm2 libheif-plugin-aomenc libheif-plugin-x265 libhtml-format-perl libhttp-daemon-perl libio-compress-brotli-perl libipc-shareable-perl libjson-xs-perl libldap-common liblist-someutils-xs-perl liblog-dispatch-perl libltdl-dev libmail-sendmail-perl libmath-base85-perl libopenblas0 libpackage-stash-xs-perl libqt6sql6-ibase libqt6sql6-mysql libqt6sql6-odbc libqt6sql6-psql libqt6sql6-sqlite libre-engine-re2-perl libsasl2-modules libsocket6-perl libtasn1-doc libtie-ixhash-perl libtypes-serialiser-perl libxml-sax-expat-perl libxstring-perl lynx mesa-vulkan-drivers octave-doc pstoedit publicsuffix qt6-gtk-platformtheme qt6-qpa-plugins qt6-translations-l10n qt6-wayland wget xdg-user-dirs 0 packages upgraded, 523 newly installed, 0 to remove and 0 not upgraded. Need to get 201 MB of archives. After unpacking 775 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian trixie/main amd64 netbase all 6.4 [12.8 kB] Get: 2 http://deb.debian.org/debian trixie/main amd64 readline-common all 8.2-5 [69.3 kB] Get: 3 http://deb.debian.org/debian trixie/main amd64 sensible-utils all 0.0.24 [24.8 kB] Get: 4 http://deb.debian.org/debian trixie/main amd64 openssl amd64 3.3.2-2 [1382 kB] Get: 5 http://deb.debian.org/debian trixie/main amd64 ca-certificates all 20240203 [158 kB] Get: 6 http://deb.debian.org/debian trixie/main amd64 libmagic-mgc amd64 1:5.45-3+b1 [314 kB] Get: 7 http://deb.debian.org/debian trixie/main amd64 libmagic1t64 amd64 1:5.45-3+b1 [108 kB] Get: 8 http://deb.debian.org/debian trixie/main amd64 file amd64 1:5.45-3+b1 [43.3 kB] Get: 9 http://deb.debian.org/debian trixie/main amd64 gettext-base amd64 0.22.5-2 [200 kB] Get: 10 http://deb.debian.org/debian trixie/main amd64 libuchardet0 amd64 0.0.8-1+b2 [68.9 kB] Get: 11 http://deb.debian.org/debian trixie/main amd64 groff-base amd64 1.23.0-5 [1181 kB] Get: 12 http://deb.debian.org/debian trixie/main amd64 bsdextrautils amd64 2.40.2-11 [91.5 kB] Get: 13 http://deb.debian.org/debian trixie/main amd64 libpipeline1 amd64 1.5.8-1 [42.0 kB] Get: 14 http://deb.debian.org/debian trixie/main amd64 man-db amd64 2.13.0-1 [1420 kB] Get: 15 http://deb.debian.org/debian trixie/main amd64 ucf all 3.0043+nmu1 [55.2 kB] Get: 16 http://deb.debian.org/debian trixie/main amd64 aglfn all 1.7+git20191031.4036a9c-2 [30.5 kB] Get: 17 http://deb.debian.org/debian trixie/main amd64 libglib2.0-0t64 amd64 2.82.2-2 [1501 kB] Get: 18 http://deb.debian.org/debian trixie/main amd64 libicu72 amd64 72.1-5+b1 [9423 kB] Get: 19 http://deb.debian.org/debian trixie/main amd64 libxml2 amd64 2.12.7+dfsg+really2.9.14-0.2+b1 [699 kB] Get: 20 http://deb.debian.org/debian trixie/main amd64 shared-mime-info amd64 2.4-5+b1 [759 kB] Get: 21 http://deb.debian.org/debian trixie/main amd64 libbrotli1 amd64 1.1.0-2+b6 [302 kB] Get: 22 http://deb.debian.org/debian trixie/main amd64 libkrb5support0 amd64 1.21.3-3 [32.5 kB] Get: 23 http://deb.debian.org/debian trixie/main amd64 libcom-err2 amd64 1.47.1-1+b1 [23.2 kB] Get: 24 http://deb.debian.org/debian trixie/main amd64 libk5crypto3 amd64 1.21.3-3 [79.9 kB] Get: 25 http://deb.debian.org/debian trixie/main amd64 libkeyutils1 amd64 1.6.3-4 [9092 B] Get: 26 http://deb.debian.org/debian trixie/main amd64 libkrb5-3 amd64 1.21.3-3 [324 kB] Get: 27 http://deb.debian.org/debian trixie/main amd64 libgssapi-krb5-2 amd64 1.21.3-3 [136 kB] Get: 28 http://deb.debian.org/debian trixie/main amd64 libsasl2-modules-db amd64 2.1.28+dfsg1-8 [19.6 kB] Get: 29 http://deb.debian.org/debian trixie/main amd64 libsasl2-2 amd64 2.1.28+dfsg1-8 [57.3 kB] Get: 30 http://deb.debian.org/debian trixie/main amd64 libldap-2.5-0 amd64 2.5.18+dfsg-3+b1 [188 kB] Get: 31 http://deb.debian.org/debian trixie/main amd64 libnghttp2-14 amd64 1.64.0-1 [75.5 kB] Get: 32 http://deb.debian.org/debian trixie/main amd64 libnghttp3-9 amd64 1.4.0-1+b1 [63.6 kB] Get: 33 http://deb.debian.org/debian trixie/main amd64 libngtcp2-16 amd64 1.6.0-1 [122 kB] Get: 34 http://deb.debian.org/debian trixie/main amd64 libngtcp2-crypto-gnutls8 amd64 1.6.0-1 [19.6 kB] Get: 35 http://deb.debian.org/debian trixie/main amd64 libpsl5t64 amd64 0.21.2-1.1+b1 [57.2 kB] Get: 36 http://deb.debian.org/debian trixie/main amd64 librtmp1 amd64 2.4+20151223.gitfa8646d.1-2+b5 [58.8 kB] Get: 37 http://deb.debian.org/debian trixie/main amd64 libssh2-1t64 amd64 1.11.1-1 [245 kB] Get: 38 http://deb.debian.org/debian trixie/main amd64 libcurl3t64-gnutls amd64 8.11.0-1 [359 kB] Get: 39 http://deb.debian.org/debian trixie/main amd64 libstemmer0d amd64 2.2.0-4+b2 [119 kB] Get: 40 http://deb.debian.org/debian trixie/main amd64 libxmlb2 amd64 0.3.21-1 [63.0 kB] Get: 41 http://deb.debian.org/debian trixie/main amd64 libyaml-0-2 amd64 0.2.5-1+b2 [52.7 kB] Get: 42 http://deb.debian.org/debian trixie/main amd64 libappstream5 amd64 1.0.3-1+b1 [224 kB] Get: 43 http://deb.debian.org/debian trixie/main amd64 appstream amd64 1.0.3-1+b1 [469 kB] Get: 44 http://deb.debian.org/debian trixie/main amd64 m4 amd64 1.4.19-4 [287 kB] Get: 45 http://deb.debian.org/debian trixie/main amd64 autoconf all 2.72-3 [493 kB] Get: 46 http://deb.debian.org/debian trixie/main amd64 autotools-dev all 20220109.1 [51.6 kB] Get: 47 http://deb.debian.org/debian trixie/main amd64 automake all 1:1.16.5-1.3 [823 kB] Get: 48 http://deb.debian.org/debian trixie/main amd64 autopoint all 0.22.5-2 [723 kB] Get: 49 http://deb.debian.org/debian trixie/main amd64 libcapture-tiny-perl all 0.48-2 [24.6 kB] Get: 50 http://deb.debian.org/debian trixie/main amd64 libparams-util-perl amd64 1.102-3+b1 [24.4 kB] Get: 51 http://deb.debian.org/debian trixie/main amd64 libsub-install-perl all 0.929-1 [10.5 kB] Get: 52 http://deb.debian.org/debian trixie/main amd64 libdata-optlist-perl all 0.114-1 [10.6 kB] Get: 53 http://deb.debian.org/debian trixie/main amd64 libb-hooks-op-check-perl amd64 0.22-3+b2 [10.6 kB] Get: 54 http://deb.debian.org/debian trixie/main amd64 libdynaloader-functions-perl all 0.004-1 [12.1 kB] Get: 55 http://deb.debian.org/debian trixie/main amd64 libdevel-callchecker-perl amd64 0.009-1+b1 [16.2 kB] Get: 56 http://deb.debian.org/debian trixie/main amd64 libparams-classify-perl amd64 0.015-2+b4 [22.5 kB] Get: 57 http://deb.debian.org/debian trixie/main amd64 libmodule-runtime-perl all 0.016-2 [19.6 kB] Get: 58 http://deb.debian.org/debian trixie/main amd64 libtry-tiny-perl all 0.32-1 [22.9 kB] Get: 59 http://deb.debian.org/debian trixie/main amd64 libmodule-implementation-perl all 0.09-2 [12.6 kB] Get: 60 http://deb.debian.org/debian trixie/main amd64 libpackage-stash-perl all 0.40-1 [22.0 kB] Get: 61 http://deb.debian.org/debian trixie/main amd64 libclass-load-perl all 0.25-2 [15.3 kB] Get: 62 http://deb.debian.org/debian trixie/main amd64 libio-stringy-perl all 2.113-2 [48.3 kB] Get: 63 http://deb.debian.org/debian trixie/main amd64 libparams-validate-perl amd64 1.31-2+b3 [63.4 kB] Get: 64 http://deb.debian.org/debian trixie/main amd64 libsub-exporter-perl all 0.990-1 [50.6 kB] Get: 65 http://deb.debian.org/debian trixie/main amd64 libgetopt-long-descriptive-perl all 0.115-1 [27.6 kB] Get: 66 http://deb.debian.org/debian trixie/main amd64 libio-tiecombine-perl all 1.005-3 [10.8 kB] Get: 67 http://deb.debian.org/debian trixie/main amd64 libmodule-pluggable-perl all 5.2-5 [23.0 kB] Get: 68 http://deb.debian.org/debian trixie/main amd64 libstring-rewriteprefix-perl all 0.009-1 [7140 B] Get: 69 http://deb.debian.org/debian trixie/main amd64 libapp-cmd-perl all 0.336-1 [65.8 kB] Get: 70 http://deb.debian.org/debian trixie/main amd64 libboolean-perl all 0.46-3 [9924 B] Get: 71 http://deb.debian.org/debian trixie/main amd64 libsub-uplevel-perl all 0.2800-3 [14.0 kB] Get: 72 http://deb.debian.org/debian trixie/main amd64 libtest-exception-perl all 0.43-3 [16.9 kB] Get: 73 http://deb.debian.org/debian trixie/main amd64 libcarp-assert-more-perl all 2.5.0-1 [20.5 kB] Get: 74 http://deb.debian.org/debian trixie/main amd64 libfile-which-perl all 1.27-2 [15.1 kB] Get: 75 http://deb.debian.org/debian trixie/main amd64 libfile-homedir-perl all 1.006-2 [42.4 kB] Get: 76 http://deb.debian.org/debian trixie/main amd64 libclone-choose-perl all 0.010-2 [8676 B] Get: 77 http://deb.debian.org/debian trixie/main amd64 libhash-merge-perl all 0.302-1 [14.7 kB] Get: 78 http://deb.debian.org/debian trixie/main amd64 libjson-perl all 4.10000-1 [87.5 kB] Get: 79 http://deb.debian.org/debian trixie/main amd64 libexporter-tiny-perl all 1.006002-1 [38.7 kB] Get: 80 http://deb.debian.org/debian trixie/main amd64 liblist-moreutils-xs-perl amd64 0.430-4+b2 [42.1 kB] Get: 81 http://deb.debian.org/debian trixie/main amd64 liblist-moreutils-perl all 0.430-2 [46.9 kB] Get: 82 http://deb.debian.org/debian trixie/main amd64 liblog-log4perl-perl all 1.57-1 [367 kB] Get: 83 http://deb.debian.org/debian trixie/main amd64 libmouse-perl amd64 2.5.11-1+b1 [144 kB] Get: 84 http://deb.debian.org/debian trixie/main amd64 libmousex-nativetraits-perl all 1.09-3 [53.5 kB] Get: 85 http://deb.debian.org/debian trixie/main amd64 libmousex-strictconstructor-perl all 0.02-3 [5304 B] Get: 86 http://deb.debian.org/debian trixie/main amd64 libparse-recdescent-perl all 1.967015+dfsg-4 [147 kB] Get: 87 http://deb.debian.org/debian trixie/main amd64 libpath-tiny-perl all 0.146-1 [56.2 kB] Get: 88 http://deb.debian.org/debian trixie/main amd64 libpod-pom-perl all 2.01-4 [65.0 kB] Get: 89 http://deb.debian.org/debian trixie/main amd64 libregexp-common-perl all 2024080801-1 [167 kB] Get: 90 http://deb.debian.org/debian trixie/main amd64 libyaml-tiny-perl all 1.74-1 [30.7 kB] Get: 91 http://deb.debian.org/debian trixie/main amd64 libconfig-model-perl all 2.154-1 [372 kB] Get: 92 http://deb.debian.org/debian trixie/main amd64 libyaml-pp-perl all 0.38.0-1 [109 kB] Get: 93 http://deb.debian.org/debian trixie/main amd64 cme all 1.040-1 [68.8 kB] Get: 94 http://deb.debian.org/debian trixie/main amd64 comerr-dev amd64 2.1-1.47.1-1+b1 [54.8 kB] Get: 95 http://deb.debian.org/debian trixie/main amd64 libdebhelper-perl all 13.20 [89.7 kB] Get: 96 http://deb.debian.org/debian trixie/main amd64 libtool all 2.4.7-8 [517 kB] Get: 97 http://deb.debian.org/debian trixie/main amd64 dh-autoreconf all 20 [17.1 kB] Get: 98 http://deb.debian.org/debian trixie/main amd64 libarchive-zip-perl all 1.68-1 [104 kB] Get: 99 http://deb.debian.org/debian trixie/main amd64 libfile-stripnondeterminism-perl all 1.14.0-1 [19.5 kB] Get: 100 http://deb.debian.org/debian trixie/main amd64 dh-strip-nondeterminism all 1.14.0-1 [8448 B] Get: 101 http://deb.debian.org/debian trixie/main amd64 libelf1t64 amd64 0.192-4 [189 kB] Get: 102 http://deb.debian.org/debian trixie/main amd64 dwz amd64 0.15-1+b1 [110 kB] Get: 103 http://deb.debian.org/debian trixie/main amd64 gettext amd64 0.22.5-2 [1601 kB] Get: 104 http://deb.debian.org/debian trixie/main amd64 intltool-debian all 0.35.0+20060710.6 [22.9 kB] Get: 105 http://deb.debian.org/debian trixie/main amd64 po-debconf all 1.0.21+nmu1 [248 kB] Get: 106 http://deb.debian.org/debian trixie/main amd64 debhelper all 13.20 [915 kB] Get: 107 http://deb.debian.org/debian trixie/main amd64 gnuplot-data all 6.0.0+dfsg1-3 [72.3 kB] Get: 108 http://deb.debian.org/debian trixie/main amd64 libexpat1 amd64 2.6.4-1 [106 kB] Get: 109 http://deb.debian.org/debian trixie/main amd64 libpng16-16t64 amd64 1.6.44-2 [280 kB] Get: 110 http://deb.debian.org/debian trixie/main amd64 libfreetype6 amd64 2.13.3+dfsg-1 [452 kB] Get: 111 http://deb.debian.org/debian trixie/main amd64 fonts-dejavu-mono all 2.37-8 [489 kB] Get: 112 http://deb.debian.org/debian trixie/main amd64 fonts-dejavu-core all 2.37-8 [840 kB] Get: 113 http://deb.debian.org/debian trixie/main amd64 fonts-freefont-otf all 20211204+svn4273-2 [4328 kB] Get: 114 http://deb.debian.org/debian trixie/main amd64 fontconfig-config amd64 2.15.0-1.1+b1 [318 kB] Get: 115 http://deb.debian.org/debian trixie/main amd64 libfontconfig1 amd64 2.15.0-1.1+b1 [391 kB] Get: 116 http://deb.debian.org/debian trixie/main amd64 libpixman-1-0 amd64 0.44.0-3 [248 kB] Get: 117 http://deb.debian.org/debian trixie/main amd64 libxau6 amd64 1:1.0.11-1 [20.4 kB] Get: 118 http://deb.debian.org/debian trixie/main amd64 libxdmcp6 amd64 1:1.1.5-1 [27.8 kB] Get: 119 http://deb.debian.org/debian trixie/main amd64 libxcb1 amd64 1.17.0-2+b1 [144 kB] Get: 120 http://deb.debian.org/debian trixie/main amd64 libx11-data all 2:1.8.10-2 [337 kB] Get: 121 http://deb.debian.org/debian trixie/main amd64 libx11-6 amd64 2:1.8.10-2 [813 kB] Get: 122 http://deb.debian.org/debian trixie/main amd64 libxcb-render0 amd64 1.17.0-2+b1 [115 kB] Get: 123 http://deb.debian.org/debian trixie/main amd64 libxcb-shm0 amd64 1.17.0-2+b1 [105 kB] Get: 124 http://deb.debian.org/debian trixie/main amd64 libxext6 amd64 2:1.3.4-1+b2 [50.5 kB] Get: 125 http://deb.debian.org/debian trixie/main amd64 libxrender1 amd64 1:0.9.10-1.1+b2 [27.8 kB] Get: 126 http://deb.debian.org/debian trixie/main amd64 libcairo2 amd64 1.18.2-2 [535 kB] Get: 127 http://deb.debian.org/debian trixie/main amd64 libedit2 amd64 3.1-20240808-1 [93.9 kB] Get: 128 http://deb.debian.org/debian trixie/main amd64 libaom3 amd64 3.11.0-1 [1879 kB] Get: 129 http://deb.debian.org/debian trixie/main amd64 libdav1d7 amd64 1.5.0-1+b1 [550 kB] Get: 130 http://deb.debian.org/debian trixie/main amd64 libabsl20230802 amd64 20230802.1-4 [464 kB] Get: 131 http://deb.debian.org/debian trixie/main amd64 libgav1-1 amd64 0.19.0-2+b2 [350 kB] Get: 132 http://deb.debian.org/debian trixie/main amd64 librav1e0.7 amd64 0.7.1-7+b2 [936 kB] Get: 133 http://deb.debian.org/debian trixie/main amd64 libsvtav1enc2 amd64 2.2.1+dfsg-2 [2173 kB] Get: 134 http://deb.debian.org/debian trixie/main amd64 libjpeg62-turbo amd64 1:2.1.5-3+b1 [168 kB] Get: 135 http://deb.debian.org/debian trixie/main amd64 libyuv0 amd64 0.0.1897.20241115-1 [172 kB] Get: 136 http://deb.debian.org/debian trixie/main amd64 libavif16 amd64 1.1.1-1 [117 kB] Get: 137 http://deb.debian.org/debian trixie/main amd64 libsharpyuv0 amd64 1.4.0-0.1+b1 [113 kB] Get: 138 http://deb.debian.org/debian trixie/main amd64 libheif-plugin-dav1d amd64 1.19.3-1 [11.2 kB] Get: 139 http://deb.debian.org/debian trixie/main amd64 libde265-0 amd64 1.0.15-1+b2 [189 kB] Get: 140 http://deb.debian.org/debian trixie/main amd64 libheif-plugin-libde265 amd64 1.19.3-1 [15.0 kB] Get: 141 http://deb.debian.org/debian trixie/main amd64 libheif1 amd64 1.19.3-1 [489 kB] Get: 142 http://deb.debian.org/debian trixie/main amd64 libimagequant0 amd64 2.18.0-1+b2 [35.2 kB] Get: 143 http://deb.debian.org/debian trixie/main amd64 libfribidi0 amd64 1.0.15-1 [71.8 kB] Get: 144 http://deb.debian.org/debian trixie/main amd64 libgraphite2-3 amd64 1.3.14-2+b1 [75.4 kB] Get: 145 http://deb.debian.org/debian trixie/main amd64 libharfbuzz0b amd64 10.0.1-1 [477 kB] Get: 146 http://deb.debian.org/debian trixie/main amd64 libraqm0 amd64 0.10.1-1+b2 [14.1 kB] Get: 147 http://deb.debian.org/debian trixie/main amd64 libdeflate0 amd64 1.22-1 [47.3 kB] Get: 148 http://deb.debian.org/debian trixie/main amd64 libjbig0 amd64 2.1-6.1+b2 [32.1 kB] Get: 149 http://deb.debian.org/debian trixie/main amd64 liblerc4 amd64 4.0.0+ds-5 [183 kB] Get: 150 http://deb.debian.org/debian trixie/main amd64 libwebp7 amd64 1.4.0-0.1+b1 [313 kB] Get: 151 http://deb.debian.org/debian trixie/main amd64 libtiff6 amd64 4.5.1+git230720-5 [324 kB] Get: 152 http://deb.debian.org/debian trixie/main amd64 libxpm4 amd64 1:3.5.17-1+b2 [56.3 kB] Get: 153 http://deb.debian.org/debian trixie/main amd64 libgd3 amd64 2.3.3-12+b1 [126 kB] Get: 154 http://deb.debian.org/debian trixie/main amd64 liblua5.4-0 amd64 5.4.6-3+b2 [147 kB] Get: 155 http://deb.debian.org/debian trixie/main amd64 fontconfig amd64 2.15.0-1.1+b1 [463 kB] Get: 156 http://deb.debian.org/debian trixie/main amd64 libthai-data all 0.1.29-2 [168 kB] Get: 157 http://deb.debian.org/debian trixie/main amd64 libdatrie1 amd64 0.2.13-3+b1 [38.1 kB] Get: 158 http://deb.debian.org/debian trixie/main amd64 libthai0 amd64 0.1.29-2+b1 [49.4 kB] Get: 159 http://deb.debian.org/debian trixie/main amd64 libpango-1.0-0 amd64 1.54.0+ds-3 [223 kB] Get: 160 http://deb.debian.org/debian trixie/main amd64 libpangoft2-1.0-0 amd64 1.54.0+ds-3 [54.2 kB] Get: 161 http://deb.debian.org/debian trixie/main amd64 libpangocairo-1.0-0 amd64 1.54.0+ds-3 [35.2 kB] Get: 162 http://deb.debian.org/debian trixie/main amd64 libwebpmux3 amd64 1.4.0-0.1+b1 [123 kB] Get: 163 http://deb.debian.org/debian trixie/main amd64 gnuplot-nox amd64 6.0.0+dfsg1-3 [916 kB] Get: 164 http://deb.debian.org/debian trixie/main amd64 dh-octave-autopkgtest all 1.8.0 [10.0 kB] Get: 165 http://deb.debian.org/debian trixie/main amd64 libapt-pkg-perl amd64 0.1.40+b6 [67.8 kB] Get: 166 http://deb.debian.org/debian trixie/main amd64 libarray-intspan-perl all 2.004-2 [25.7 kB] Get: 167 http://deb.debian.org/debian trixie/main amd64 libyaml-libyaml-perl amd64 0.902.0+ds-2+b1 [35.5 kB] Get: 168 http://deb.debian.org/debian trixie/main amd64 libconfig-model-backend-yaml-perl all 2.134-2 [10.8 kB] Get: 169 http://deb.debian.org/debian trixie/main amd64 libexporter-lite-perl all 0.09-2 [10.7 kB] Get: 170 http://deb.debian.org/debian trixie/main amd64 libencode-locale-perl all 1.05-3 [12.9 kB] Get: 171 http://deb.debian.org/debian trixie/main amd64 libtimedate-perl all 2.3300-2 [39.3 kB] Get: 172 http://deb.debian.org/debian trixie/main amd64 libhttp-date-perl all 6.06-1 [10.7 kB] Get: 173 http://deb.debian.org/debian trixie/main amd64 libfile-listing-perl all 6.16-1 [12.4 kB] Get: 174 http://deb.debian.org/debian trixie/main amd64 libhtml-tagset-perl all 3.24-1 [14.7 kB] Get: 175 http://deb.debian.org/debian trixie/main amd64 liburi-perl all 5.30-1 [105 kB] Get: 176 http://deb.debian.org/debian trixie/main amd64 libhtml-parser-perl amd64 3.83-1+b1 [99.7 kB] Get: 177 http://deb.debian.org/debian trixie/main amd64 libhtml-tree-perl all 5.07-3 [211 kB] Get: 178 http://deb.debian.org/debian trixie/main amd64 libclone-perl amd64 0.47-1+b1 [13.9 kB] Get: 179 http://deb.debian.org/debian trixie/main amd64 libio-html-perl all 1.004-3 [16.2 kB] Get: 180 http://deb.debian.org/debian trixie/main amd64 liblwp-mediatypes-perl all 6.04-2 [20.2 kB] Get: 181 http://deb.debian.org/debian trixie/main amd64 libhttp-message-perl all 7.00-2 [79.8 kB] Get: 182 http://deb.debian.org/debian trixie/main amd64 libhttp-cookies-perl all 6.11-1 [19.1 kB] Get: 183 http://deb.debian.org/debian trixie/main amd64 libhttp-negotiate-perl all 6.01-2 [13.1 kB] Get: 184 http://deb.debian.org/debian trixie/main amd64 perl-openssl-defaults amd64 7+b2 [6724 B] Get: 185 http://deb.debian.org/debian trixie/main amd64 libnet-ssleay-perl amd64 1.94-2 [339 kB] Get: 186 http://deb.debian.org/debian trixie/main amd64 libio-socket-ssl-perl all 2.089-1 [223 kB] Get: 187 http://deb.debian.org/debian trixie/main amd64 libnet-http-perl all 6.23-1 [23.9 kB] Get: 188 http://deb.debian.org/debian trixie/main amd64 liblwp-protocol-https-perl all 6.14-1 [10.8 kB] Get: 189 http://deb.debian.org/debian trixie/main amd64 libwww-robotrules-perl all 6.02-1 [12.9 kB] Get: 190 http://deb.debian.org/debian trixie/main amd64 libwww-perl all 6.77-1 [183 kB] Get: 191 http://deb.debian.org/debian trixie/main amd64 liberror-perl all 0.17029-2 [29.0 kB] Get: 192 http://deb.debian.org/debian trixie/main amd64 libparse-debcontrol-perl all 2.005-6 [21.6 kB] Get: 193 http://deb.debian.org/debian trixie/main amd64 libsoftware-copyright-perl all 0.012-2 [18.0 kB] Get: 194 http://deb.debian.org/debian trixie/main amd64 libalgorithm-c3-perl all 0.11-2 [10.8 kB] Get: 195 http://deb.debian.org/debian trixie/main amd64 libclass-c3-perl all 0.35-2 [21.0 kB] Get: 196 http://deb.debian.org/debian trixie/main amd64 libmro-compat-perl all 0.15-2 [11.8 kB] Get: 197 http://deb.debian.org/debian trixie/main amd64 libdata-section-perl all 0.200008-1 [13.1 kB] Get: 198 http://deb.debian.org/debian trixie/main amd64 libtext-template-perl all 1.61-1 [54.4 kB] Get: 199 http://deb.debian.org/debian trixie/main amd64 libsoftware-license-perl all 0.104006-1 [116 kB] Get: 200 http://deb.debian.org/debian trixie/main amd64 libsoftware-licensemoreutils-perl all 1.009-1 [22.0 kB] Get: 201 http://deb.debian.org/debian trixie/main amd64 libsort-versions-perl all 1.62-3 [8928 B] Get: 202 http://deb.debian.org/debian trixie/main amd64 libtext-reform-perl all 1.20-5 [36.0 kB] Get: 203 http://deb.debian.org/debian trixie/main amd64 libtext-autoformat-perl all 1.750000-2 [35.2 kB] Get: 204 http://deb.debian.org/debian trixie/main amd64 libtext-levenshtein-damerau-perl all 0.41-3 [12.3 kB] Get: 205 http://deb.debian.org/debian trixie/main amd64 libtoml-tiny-perl all 0.18-1 [23.0 kB] Get: 206 http://deb.debian.org/debian trixie/main amd64 libclass-inspector-perl all 1.36-3 [17.5 kB] Get: 207 http://deb.debian.org/debian trixie/main amd64 libfile-sharedir-perl all 1.118-3 [16.0 kB] Get: 208 http://deb.debian.org/debian trixie/main amd64 libindirect-perl amd64 0.39-2+b4 [27.1 kB] Get: 209 http://deb.debian.org/debian trixie/main amd64 libxs-parse-keyword-perl amd64 0.46-1+b1 [64.9 kB] Get: 210 http://deb.debian.org/debian trixie/main amd64 libxs-parse-sublike-perl amd64 0.30-1 [43.4 kB] Get: 211 http://deb.debian.org/debian trixie/main amd64 libobject-pad-perl amd64 0.815-1 [123 kB] Get: 212 http://deb.debian.org/debian trixie/main amd64 libfeature-compat-class-perl all 0.07-1 [11.5 kB] Get: 213 http://deb.debian.org/debian trixie/main amd64 libsyntax-keyword-try-perl amd64 0.30-1+b1 [27.4 kB] Get: 214 http://deb.debian.org/debian trixie/main amd64 libfeature-compat-try-perl all 0.05-1 [10.4 kB] Get: 215 http://deb.debian.org/debian trixie/main amd64 libio-interactive-perl all 1.025-1 [11.4 kB] Get: 216 http://deb.debian.org/debian trixie/main amd64 liblog-any-perl all 1.717-1 [78.9 kB] Get: 217 http://deb.debian.org/debian trixie/main amd64 liblog-any-adapter-screen-perl all 0.141-1 [14.0 kB] Get: 218 http://deb.debian.org/debian trixie/main amd64 libsub-exporter-progressive-perl all 0.001013-3 [7496 B] Get: 219 http://deb.debian.org/debian trixie/main amd64 libvariable-magic-perl amd64 0.64-1+b1 [44.9 kB] Get: 220 http://deb.debian.org/debian trixie/main amd64 libb-hooks-endofscope-perl all 0.28-1 [17.5 kB] Get: 221 http://deb.debian.org/debian trixie/main amd64 libsub-identify-perl amd64 0.14-3+b3 [11.3 kB] Get: 222 http://deb.debian.org/debian trixie/main amd64 libsub-name-perl amd64 0.27-1+b3 [12.5 kB] Get: 223 http://deb.debian.org/debian trixie/main amd64 libnamespace-clean-perl all 0.27-2 [17.8 kB] Get: 224 http://deb.debian.org/debian trixie/main amd64 libnumber-compare-perl all 0.03-3 [6332 B] Get: 225 http://deb.debian.org/debian trixie/main amd64 libtext-glob-perl all 0.11-3 [7676 B] Get: 226 http://deb.debian.org/debian trixie/main amd64 libpath-iterator-rule-perl all 1.015-2 [41.7 kB] Get: 227 http://deb.debian.org/debian trixie/main amd64 libpod-parser-perl all 1.67-1 [94.1 kB] Get: 228 http://deb.debian.org/debian trixie/main amd64 libpod-constants-perl all 0.19-2 [17.3 kB] Get: 229 http://deb.debian.org/debian trixie/main amd64 libset-intspan-perl all 1.19-3 [25.3 kB] Get: 230 http://deb.debian.org/debian trixie/main amd64 libstring-copyright-perl all 0.003014-1 [23.4 kB] Get: 231 http://deb.debian.org/debian trixie/main amd64 libstring-escape-perl all 2010.002-3 [18.7 kB] Get: 232 http://deb.debian.org/debian trixie/main amd64 libregexp-pattern-license-perl all 3.11.2-1 [94.6 kB] Get: 233 http://deb.debian.org/debian trixie/main amd64 libregexp-pattern-perl all 0.2.14-2 [18.7 kB] Get: 234 http://deb.debian.org/debian trixie/main amd64 libstring-license-perl all 0.0.11-1 [34.7 kB] Get: 235 http://deb.debian.org/debian trixie/main amd64 licensecheck all 3.3.9-1 [50.1 kB] Get: 236 http://deb.debian.org/debian trixie/main amd64 diffstat amd64 1.67-1 [35.5 kB] Get: 237 http://deb.debian.org/debian trixie/main amd64 libassuan9 amd64 3.0.1-2 [60.6 kB] Get: 238 http://deb.debian.org/debian trixie/main amd64 libreadline8t64 amd64 8.2-5 [169 kB] Get: 239 http://deb.debian.org/debian trixie/main amd64 gpgconf amd64 2.2.45-2 [120 kB] Get: 240 http://deb.debian.org/debian trixie/main amd64 gpg amd64 2.2.45-2 [531 kB] Get: 241 http://deb.debian.org/debian trixie/main amd64 iso-codes all 4.17.0-1 [3055 kB] Get: 242 http://deb.debian.org/debian trixie/main amd64 libberkeleydb-perl amd64 0.66-1 [121 kB] Get: 243 http://deb.debian.org/debian trixie/main amd64 libclass-xsaccessor-perl amd64 1.19-4+b4 [36.1 kB] Get: 244 http://deb.debian.org/debian trixie/main amd64 libconfig-tiny-perl all 2.30-1 [18.9 kB] Get: 245 http://deb.debian.org/debian trixie/main amd64 libconst-fast-perl all 0.014-2 [8792 B] Get: 246 http://deb.debian.org/debian trixie/main amd64 libcpanel-json-xs-perl amd64 4.38-1+b1 [129 kB] Get: 247 http://deb.debian.org/debian trixie/main amd64 libaliased-perl all 0.34-3 [13.5 kB] Get: 248 http://deb.debian.org/debian trixie/main amd64 libclass-data-inheritable-perl all 0.10-1 [8632 B] Get: 249 http://deb.debian.org/debian trixie/main amd64 libdevel-stacktrace-perl all 2.0500-1 [26.4 kB] Get: 250 http://deb.debian.org/debian trixie/main amd64 libexception-class-perl all 1.45-1 [34.6 kB] Get: 251 http://deb.debian.org/debian trixie/main amd64 libiterator-perl all 0.03+ds1-2 [18.8 kB] Get: 252 http://deb.debian.org/debian trixie/main amd64 libiterator-util-perl all 0.02+ds1-2 [14.0 kB] Get: 253 http://deb.debian.org/debian trixie/main amd64 libdata-dpath-perl all 0.60-1 [41.8 kB] Get: 254 http://deb.debian.org/debian trixie/main amd64 libnet-domain-tld-perl all 1.75-4 [31.5 kB] Get: 255 http://deb.debian.org/debian trixie/main amd64 libdata-validate-domain-perl all 0.15-1 [11.9 kB] Get: 256 http://deb.debian.org/debian trixie/main amd64 libnet-ipv6addr-perl all 1.02-1 [21.7 kB] Get: 257 http://deb.debian.org/debian trixie/main amd64 libnet-netmask-perl all 2.0002-2 [28.6 kB] Get: 258 http://deb.debian.org/debian trixie/main amd64 libnetaddr-ip-perl amd64 4.079+dfsg-2+b4 [98.1 kB] Get: 259 http://deb.debian.org/debian trixie/main amd64 libdata-validate-ip-perl all 0.31-1 [20.6 kB] Get: 260 http://deb.debian.org/debian trixie/main amd64 libdata-validate-uri-perl all 0.07-3 [11.0 kB] Get: 261 http://deb.debian.org/debian trixie/main amd64 libdevel-size-perl amd64 0.84-1+b1 [24.2 kB] Get: 262 http://deb.debian.org/debian trixie/main amd64 libemail-address-xs-perl amd64 1.05-1+b4 [29.4 kB] Get: 263 http://deb.debian.org/debian trixie/main amd64 libipc-system-simple-perl all 1.30-2 [26.8 kB] Get: 264 http://deb.debian.org/debian trixie/main amd64 libfile-basedir-perl all 0.09-2 [15.1 kB] Get: 265 http://deb.debian.org/debian trixie/main amd64 libfile-find-rule-perl all 0.34-3 [26.6 kB] Get: 266 http://deb.debian.org/debian trixie/main amd64 libio-string-perl all 1.08-4 [12.1 kB] Get: 267 http://deb.debian.org/debian trixie/main amd64 libfont-ttf-perl all 1.06-2 [318 kB] Get: 268 http://deb.debian.org/debian trixie/main amd64 libhtml-html5-entities-perl all 0.004-3 [21.0 kB] Get: 269 http://deb.debian.org/debian trixie/main amd64 libhtml-tokeparser-simple-perl all 3.16-4 [39.1 kB] Get: 270 http://deb.debian.org/debian trixie/main amd64 libipc-run3-perl all 0.049-1 [31.5 kB] Get: 271 http://deb.debian.org/debian trixie/main amd64 libjson-maybexs-perl all 1.004008-1 [12.9 kB] Get: 272 http://deb.debian.org/debian trixie/main amd64 liblist-compare-perl all 0.55-2 [65.7 kB] Get: 273 http://deb.debian.org/debian trixie/main amd64 liblist-someutils-perl all 0.59-1 [37.1 kB] Get: 274 http://deb.debian.org/debian trixie/main amd64 liblist-utilsby-perl all 0.12-2 [15.5 kB] Get: 275 http://deb.debian.org/debian trixie/main amd64 libmldbm-perl all 2.05-4 [16.8 kB] Get: 276 http://deb.debian.org/debian trixie/main amd64 libclass-method-modifiers-perl all 2.15-1 [18.0 kB] Get: 277 http://deb.debian.org/debian trixie/main amd64 libimport-into-perl all 1.002005-2 [11.3 kB] Get: 278 http://deb.debian.org/debian trixie/main amd64 librole-tiny-perl all 2.002004-1 [21.4 kB] Get: 279 http://deb.debian.org/debian trixie/main amd64 libsub-quote-perl all 2.006008-1 [21.8 kB] Get: 280 http://deb.debian.org/debian trixie/main amd64 libmoo-perl all 2.005005-1 [58.0 kB] Get: 281 http://deb.debian.org/debian trixie/main amd64 libstrictures-perl all 2.000006-1 [18.6 kB] Get: 282 http://deb.debian.org/debian trixie/main amd64 libmoox-aliases-perl all 0.001006-2 [7156 B] Get: 283 http://deb.debian.org/debian trixie/main amd64 libperlio-gzip-perl amd64 0.20-1+b4 [17.5 kB] Get: 284 http://deb.debian.org/debian trixie/main amd64 libperlio-utf8-strict-perl amd64 0.010-1+b3 [11.4 kB] Get: 285 http://deb.debian.org/debian trixie/main amd64 libproc-processtable-perl amd64 0.636-1+b3 [42.3 kB] Get: 286 http://deb.debian.org/debian trixie/main amd64 libregexp-wildcards-perl all 1.05-3 [14.1 kB] Get: 287 http://deb.debian.org/debian trixie/main amd64 libsereal-decoder-perl amd64 5.004+ds-1+b3 [100 kB] Get: 288 http://deb.debian.org/debian trixie/main amd64 libsereal-encoder-perl amd64 5.004+ds-1+b3 [104 kB] Get: 289 http://deb.debian.org/debian trixie/main amd64 libterm-readkey-perl amd64 2.38-2+b4 [24.6 kB] Get: 290 http://deb.debian.org/debian trixie/main amd64 libtext-levenshteinxs-perl amd64 0.03-5+b4 [8720 B] Get: 291 http://deb.debian.org/debian trixie/main amd64 libmarkdown2 amd64 2.2.7-2.1 [36.0 kB] Get: 292 http://deb.debian.org/debian trixie/main amd64 libtext-markdown-discount-perl amd64 0.16-1+b3 [13.0 kB] Get: 293 http://deb.debian.org/debian trixie/main amd64 libdata-messagepack-perl amd64 1.02-1+b4 [32.8 kB] Get: 294 http://deb.debian.org/debian trixie/main amd64 libtext-xslate-perl amd64 3.5.9-2+b1 [174 kB] Get: 295 http://deb.debian.org/debian trixie/main amd64 libtime-duration-perl all 1.21-2 [13.1 kB] Get: 296 http://deb.debian.org/debian trixie/main amd64 libtime-moment-perl amd64 0.44-2+b4 [73.2 kB] Get: 297 http://deb.debian.org/debian trixie/main amd64 libunicode-utf8-perl amd64 0.62-2+b3 [20.4 kB] Get: 298 http://deb.debian.org/debian trixie/main amd64 libcgi-pm-perl all 4.66-1 [217 kB] Get: 299 http://deb.debian.org/debian trixie/main amd64 libhtml-form-perl all 6.12-1 [32.3 kB] Get: 300 http://deb.debian.org/debian trixie/main amd64 libwww-mechanize-perl all 2.19-1 [114 kB] Get: 301 http://deb.debian.org/debian trixie/main amd64 libxml-namespacesupport-perl all 1.12-2 [15.1 kB] Get: 302 http://deb.debian.org/debian trixie/main amd64 libxml-sax-base-perl all 1.09-3 [20.6 kB] Get: 303 http://deb.debian.org/debian trixie/main amd64 libxml-sax-perl all 1.02+dfsg-4 [53.4 kB] Get: 304 http://deb.debian.org/debian trixie/main amd64 libxml-libxml-perl amd64 2.0207+dfsg+really+2.0134-5+b1 [314 kB] Get: 305 http://deb.debian.org/debian trixie/main amd64 liblz1 amd64 1.15~pre2-1 [39.2 kB] Get: 306 http://deb.debian.org/debian trixie/main amd64 plzip amd64 1.11-2 [63.6 kB] Get: 307 http://deb.debian.org/debian trixie/main amd64 liblzo2-2 amd64 2.10-3+b1 [55.1 kB] Get: 308 http://deb.debian.org/debian trixie/main amd64 lzop amd64 1.04-2 [84.2 kB] Get: 309 http://deb.debian.org/debian trixie/main amd64 patchutils amd64 0.4.2-1 [77.5 kB] Get: 310 http://deb.debian.org/debian trixie/main amd64 t1utils amd64 1.41-4 [62.1 kB] Get: 311 http://deb.debian.org/debian trixie/main amd64 unzip amd64 6.0-28 [166 kB] Get: 312 http://deb.debian.org/debian trixie/main amd64 lintian all 2.120.0 [1058 kB] Get: 313 http://deb.debian.org/debian trixie/main amd64 libconfig-model-dpkg-perl all 3.005 [173 kB] Get: 314 http://deb.debian.org/debian trixie/main amd64 libconvert-binhex-perl all 1.125-3 [27.4 kB] Get: 315 http://deb.debian.org/debian trixie/main amd64 libnet-smtp-ssl-perl all 1.04-2 [6548 B] Get: 316 http://deb.debian.org/debian trixie/main amd64 libmailtools-perl all 2.22-1 [88.8 kB] Get: 317 http://deb.debian.org/debian trixie/main amd64 libmime-tools-perl all 5.515-1 [203 kB] Get: 318 http://deb.debian.org/debian trixie/main amd64 libsuitesparseconfig7 amd64 1:7.8.3+dfsg-2 [23.8 kB] Get: 319 http://deb.debian.org/debian trixie/main amd64 libamd3 amd64 1:7.8.3+dfsg-2 [40.7 kB] Get: 320 http://deb.debian.org/debian trixie/main amd64 libblas3 amd64 3.12.0-3+b1 [152 kB] Get: 321 http://deb.debian.org/debian trixie/main amd64 libgfortran5 amd64 14.2.0-8 [836 kB] Get: 322 http://deb.debian.org/debian trixie/main amd64 liblapack3 amd64 3.12.0-3+b1 [2450 kB] Get: 323 http://deb.debian.org/debian trixie/main amd64 libarpack2t64 amd64 3.9.1-1.1+b2 [104 kB] Get: 324 http://deb.debian.org/debian trixie/main amd64 libccolamd3 amd64 1:7.8.3+dfsg-2 [39.2 kB] Get: 325 http://deb.debian.org/debian trixie/main amd64 libcamd3 amd64 1:7.8.3+dfsg-2 [37.5 kB] Get: 326 http://deb.debian.org/debian trixie/main amd64 libcolamd3 amd64 1:7.8.3+dfsg-2 [32.5 kB] Get: 327 http://deb.debian.org/debian trixie/main amd64 libcholmod5 amd64 1:7.8.3+dfsg-2 [638 kB] Get: 328 http://deb.debian.org/debian trixie/main amd64 libcxsparse4 amd64 1:7.8.3+dfsg-2 [84.2 kB] Get: 329 http://deb.debian.org/debian trixie/main amd64 libfftw3-double3 amd64 3.3.10-1+b3 [780 kB] Get: 330 http://deb.debian.org/debian trixie/main amd64 libfftw3-single3 amd64 3.3.10-1+b3 [806 kB] Get: 331 http://deb.debian.org/debian trixie/main amd64 libxfixes3 amd64 1:6.0.0-2+b2 [20.3 kB] Get: 332 http://deb.debian.org/debian trixie/main amd64 libxcursor1 amd64 1:1.2.2-1+b1 [37.6 kB] Get: 333 http://deb.debian.org/debian trixie/main amd64 libxft2 amd64 2.3.6-1+b2 [54.5 kB] Get: 334 http://deb.debian.org/debian trixie/main amd64 libxinerama1 amd64 2:1.1.4-3+b2 [16.0 kB] Get: 335 http://deb.debian.org/debian trixie/main amd64 libfltk1.3t64 amd64 1.3.8-6.1+b1 [556 kB] Get: 336 http://deb.debian.org/debian trixie/main amd64 libglvnd0 amd64 1.7.0-1+b2 [52.0 kB] Get: 337 http://deb.debian.org/debian trixie/main amd64 libdrm-common all 2.4.123-1 [8084 B] Get: 338 http://deb.debian.org/debian trixie/main amd64 libdrm2 amd64 2.4.123-1 [38.7 kB] Get: 339 http://deb.debian.org/debian trixie/main amd64 libglapi-mesa amd64 24.2.7-1 [37.9 kB] Get: 340 http://deb.debian.org/debian trixie/main amd64 libx11-xcb1 amd64 2:1.8.10-2 [241 kB] Get: 341 http://deb.debian.org/debian trixie/main amd64 libxcb-dri2-0 amd64 1.17.0-2+b1 [107 kB] Get: 342 http://deb.debian.org/debian trixie/main amd64 libxcb-dri3-0 amd64 1.17.0-2+b1 [107 kB] Get: 343 http://deb.debian.org/debian trixie/main amd64 libxcb-glx0 amd64 1.17.0-2+b1 [122 kB] Get: 344 http://deb.debian.org/debian trixie/main amd64 libxcb-present0 amd64 1.17.0-2+b1 [106 kB] Get: 345 http://deb.debian.org/debian trixie/main amd64 libxcb-randr0 amd64 1.17.0-2+b1 [117 kB] Get: 346 http://deb.debian.org/debian trixie/main amd64 libxcb-sync1 amd64 1.17.0-2+b1 [109 kB] Get: 347 http://deb.debian.org/debian trixie/main amd64 libxcb-xfixes0 amd64 1.17.0-2+b1 [109 kB] Get: 348 http://deb.debian.org/debian trixie/main amd64 libxshmfence1 amd64 1.3-1+b2 [8848 B] Get: 349 http://deb.debian.org/debian trixie/main amd64 libxxf86vm1 amd64 1:1.1.4-1+b3 [19.3 kB] Get: 350 http://deb.debian.org/debian trixie/main amd64 libdrm-amdgpu1 amd64 2.4.123-1 [22.3 kB] Get: 351 http://deb.debian.org/debian trixie/main amd64 libpciaccess0 amd64 0.17-3+b2 [51.9 kB] Get: 352 http://deb.debian.org/debian trixie/main amd64 libdrm-intel1 amd64 2.4.123-1 [63.7 kB] Get: 353 http://deb.debian.org/debian trixie/main amd64 libdrm-radeon1 amd64 2.4.123-1 [22.3 kB] Get: 354 http://deb.debian.org/debian trixie/main amd64 libz3-4 amd64 4.13.3-1 [8560 kB] Get: 355 http://deb.debian.org/debian trixie/main amd64 libllvm19 amd64 1:19.1.3-2 [26.0 MB] Get: 356 http://deb.debian.org/debian trixie/main amd64 libsensors-config all 1:3.6.0-10 [14.6 kB] Get: 357 http://deb.debian.org/debian trixie/main amd64 libsensors5 amd64 1:3.6.0-10+b1 [35.1 kB] Get: 358 http://deb.debian.org/debian trixie/main amd64 mesa-libgallium amd64 24.2.7-1 [9186 kB] Get: 359 http://deb.debian.org/debian trixie/main amd64 libvulkan1 amd64 1.3.296.0-1 [126 kB] Get: 360 http://deb.debian.org/debian trixie/main amd64 libwayland-server0 amd64 1.23.0-1+b1 [34.2 kB] Get: 361 http://deb.debian.org/debian trixie/main amd64 libgbm1 amd64 24.2.7-1 [42.8 kB] Get: 362 http://deb.debian.org/debian trixie/main amd64 libgl1-mesa-dri amd64 24.2.7-1 [43.9 kB] Get: 363 http://deb.debian.org/debian trixie/main amd64 libglx-mesa0 amd64 24.2.7-1 [154 kB] Get: 364 http://deb.debian.org/debian trixie/main amd64 libglx0 amd64 1.7.0-1+b2 [34.9 kB] Get: 365 http://deb.debian.org/debian trixie/main amd64 libgl1 amd64 1.7.0-1+b2 [89.5 kB] Get: 366 http://deb.debian.org/debian trixie/main amd64 libfltk-gl1.3t64 amd64 1.3.8-6.1+b1 [63.0 kB] Get: 367 http://deb.debian.org/debian trixie/main amd64 libgl2ps1.4 amd64 1.4.2+dfsg1-2 [41.3 kB] Get: 368 http://deb.debian.org/debian trixie/main amd64 libltdl7 amd64 2.4.7-8 [393 kB] Get: 369 http://deb.debian.org/debian trixie/main amd64 libglpk40 amd64 5.0-1+b2 [401 kB] Get: 370 http://deb.debian.org/debian trixie/main amd64 libopengl0 amd64 1.7.0-1+b2 [30.9 kB] Get: 371 http://deb.debian.org/debian trixie/main amd64 libglu1-mesa amd64 9.0.2-1.1+b2 [185 kB] Get: 372 http://deb.debian.org/debian trixie/main amd64 libgif7 amd64 5.2.2-1+b1 [44.2 kB] Get: 373 http://deb.debian.org/debian trixie/main amd64 libhwy1t64 amd64 1.2.0-2+b1 [676 kB] Get: 374 http://deb.debian.org/debian trixie/main amd64 liblcms2-2 amd64 2.16-2 [160 kB] Get: 375 http://deb.debian.org/debian trixie/main amd64 libimath-3-1-29t64 amd64 3.1.12-1+b1 [42.0 kB] Get: 376 http://deb.debian.org/debian trixie/main amd64 libopenexr-3-1-30 amd64 3.1.5-5.1+b3 [934 kB] Get: 377 http://deb.debian.org/debian trixie/main amd64 libjxl0.9 amd64 0.9.2-10+b1 [1052 kB] Get: 378 http://deb.debian.org/debian trixie/main amd64 libwmflite-0.2-7 amd64 0.2.13-1.1+b3 [75.6 kB] Get: 379 http://deb.debian.org/debian trixie/main amd64 libgraphicsmagick-q16-3t64 amd64 1.4+really1.3.45-1+b1 [1229 kB] Get: 380 http://deb.debian.org/debian trixie/main amd64 libgraphicsmagick++-q16-12t64 amd64 1.4+really1.3.45-1+b1 [125 kB] Get: 381 http://deb.debian.org/debian trixie/main amd64 libcurl4t64 amd64 8.11.0-1 [351 kB] Get: 382 http://deb.debian.org/debian trixie/main amd64 libaec0 amd64 1.1.3-1+b1 [23.8 kB] Get: 383 http://deb.debian.org/debian trixie/main amd64 libsz2 amd64 1.1.3-1+b1 [8080 B] Get: 384 http://deb.debian.org/debian trixie/main amd64 libhdf5-103-1t64 amd64 1.10.10+repack-4 [1253 kB] Get: 385 http://deb.debian.org/debian trixie/main amd64 libasound2-data all 1.2.12-1 [21.0 kB] Get: 386 http://deb.debian.org/debian trixie/main amd64 libasound2t64 amd64 1.2.12-1+b1 [371 kB] Get: 387 http://deb.debian.org/debian trixie/main amd64 libopus0 amd64 1.5.2-2 [2852 kB] Get: 388 http://deb.debian.org/debian trixie/main amd64 libsamplerate0 amd64 0.2.2-4+b2 [950 kB] Get: 389 http://deb.debian.org/debian trixie/main amd64 libjack-jackd2-0 amd64 1.9.22~dfsg-3 [287 kB] Get: 390 http://deb.debian.org/debian trixie/main amd64 libportaudio2 amd64 19.6.0-1.2+b3 [64.8 kB] Get: 391 http://deb.debian.org/debian trixie/main amd64 libqhull-r8.0 amd64 2020.2-6+b2 [248 kB] Get: 392 http://deb.debian.org/debian trixie/main amd64 libqrupdate1 amd64 1.1.5-1 [39.9 kB] Get: 393 http://deb.debian.org/debian trixie/main amd64 libqscintilla2-qt6-l10n all 2.14.1+dfsg-1 [105 kB] Get: 394 http://deb.debian.org/debian trixie/main amd64 libb2-1 amd64 0.98.1-1.1+b2 [41.7 kB] Get: 395 http://deb.debian.org/debian trixie/main amd64 libdouble-conversion3 amd64 3.3.0-1+b2 [41.8 kB] Get: 396 http://deb.debian.org/debian trixie/main amd64 libpcre2-16-0 amd64 10.42-4+b2 [249 kB] Get: 397 http://deb.debian.org/debian trixie/main amd64 libqt6core6t64 amd64 6.7.2+dfsg-4 [1796 kB] Get: 398 http://deb.debian.org/debian trixie/main amd64 libwayland-client0 amd64 1.23.0-1+b1 [26.6 kB] Get: 399 http://deb.debian.org/debian trixie/main amd64 libegl-mesa0 amd64 24.2.7-1 [133 kB] Get: 400 http://deb.debian.org/debian trixie/main amd64 libegl1 amd64 1.7.0-1+b2 [34.6 kB] Get: 401 http://deb.debian.org/debian trixie/main amd64 x11-common all 1:7.7+23.1 [216 kB] Get: 402 http://deb.debian.org/debian trixie/main amd64 libice6 amd64 2:1.1.1-1 [65.4 kB] Get: 403 http://deb.debian.org/debian trixie/main amd64 libevdev2 amd64 1.13.3+dfsg-1 [32.2 kB] Get: 404 http://deb.debian.org/debian trixie/main amd64 libmtdev1t64 amd64 1.1.6-1.2+b1 [22.5 kB] Get: 405 http://deb.debian.org/debian trixie/main amd64 libgudev-1.0-0 amd64 238-5+b1 [14.8 kB] Get: 406 http://deb.debian.org/debian trixie/main amd64 libwacom-common all 2.13.0-1 [98.0 kB] Get: 407 http://deb.debian.org/debian trixie/main amd64 libwacom9 amd64 2.13.0-1 [24.0 kB] Get: 408 http://deb.debian.org/debian trixie/main amd64 libinput-bin amd64 1.26.2-1 [25.3 kB] Get: 409 http://deb.debian.org/debian trixie/main amd64 libinput10 amd64 1.26.2-1 [131 kB] Get: 410 http://deb.debian.org/debian trixie/main amd64 libmd4c0 amd64 0.5.2-2+b1 [49.0 kB] Get: 411 http://deb.debian.org/debian trixie/main amd64 libdbus-1-3 amd64 1.14.10-6 [203 kB] Get: 412 http://deb.debian.org/debian trixie/main amd64 libqt6dbus6 amd64 6.7.2+dfsg-4 [260 kB] Get: 413 http://deb.debian.org/debian trixie/main amd64 libsm6 amd64 2:1.2.4-1 [35.2 kB] Get: 414 http://deb.debian.org/debian trixie/main amd64 libts0t64 amd64 1.22-1.1+b1 [61.7 kB] Get: 415 http://deb.debian.org/debian trixie/main amd64 libxcb-util1 amd64 0.4.0-1+b2 [22.5 kB] Get: 416 http://deb.debian.org/debian trixie/main amd64 libxcb-image0 amd64 0.4.0-2+b2 [22.2 kB] Get: 417 http://deb.debian.org/debian trixie/main amd64 libxcb-render-util0 amd64 0.3.9-1+b2 [17.4 kB] Get: 418 http://deb.debian.org/debian trixie/main amd64 libxcb-cursor0 amd64 0.1.4-1+b2 [17.1 kB] Get: 419 http://deb.debian.org/debian trixie/main amd64 libxcb-icccm4 amd64 0.4.2-1 [27.5 kB] Get: 420 http://deb.debian.org/debian trixie/main amd64 libxcb-keysyms1 amd64 0.4.0-1+b3 [15.7 kB] Get: 421 http://deb.debian.org/debian trixie/main amd64 libxcb-shape0 amd64 1.17.0-2+b1 [106 kB] Get: 422 http://deb.debian.org/debian trixie/main amd64 libxcb-xinput0 amd64 1.17.0-2+b1 [130 kB] Get: 423 http://deb.debian.org/debian trixie/main amd64 libxcb-xkb1 amd64 1.17.0-2+b1 [130 kB] Get: 424 http://deb.debian.org/debian trixie/main amd64 xkb-data all 2.42-1 [790 kB] Get: 425 http://deb.debian.org/debian trixie/main amd64 libxkbcommon0 amd64 1.6.0-1+b2 [111 kB] Get: 426 http://deb.debian.org/debian trixie/main amd64 libxkbcommon-x11-0 amd64 1.6.0-1+b2 [16.3 kB] Get: 427 http://deb.debian.org/debian trixie/main amd64 libqt6gui6 amd64 6.7.2+dfsg-4 [3024 kB] Get: 428 http://deb.debian.org/debian trixie/main amd64 libavahi-common-data amd64 0.8-13+b3 [112 kB] Get: 429 http://deb.debian.org/debian trixie/main amd64 libavahi-common3 amd64 0.8-13+b3 [43.2 kB] Get: 430 http://deb.debian.org/debian trixie/main amd64 libavahi-client3 amd64 0.8-13+b3 [47.5 kB] Get: 431 http://deb.debian.org/debian trixie/main amd64 libcups2t64 amd64 2.4.10-2 [251 kB] Get: 432 http://deb.debian.org/debian trixie/main amd64 libqt6widgets6 amd64 6.7.2+dfsg-4 [2584 kB] Get: 433 http://deb.debian.org/debian trixie/main amd64 libqt6printsupport6 amd64 6.7.2+dfsg-4 [213 kB] Get: 434 http://deb.debian.org/debian trixie/main amd64 libqscintilla2-qt6-15 amd64 2.14.1+dfsg-1+b4 [1174 kB] Get: 435 http://deb.debian.org/debian trixie/main amd64 libqt6core5compat6 amd64 6.7.2-3 [135 kB] Get: 436 http://deb.debian.org/debian trixie/main amd64 libqt6sql6 amd64 6.7.2+dfsg-4 [138 kB] Get: 437 http://deb.debian.org/debian trixie/main amd64 libqt6help6 amd64 6.7.2-6 [180 kB] Get: 438 http://deb.debian.org/debian trixie/main amd64 libduktape207 amd64 2.7.0-2+b2 [135 kB] Get: 439 http://deb.debian.org/debian trixie/main amd64 libproxy1v5 amd64 0.5.9-1 [26.4 kB] Get: 440 http://deb.debian.org/debian trixie/main amd64 libqt6network6 amd64 6.7.2+dfsg-4 [766 kB] Get: 441 http://deb.debian.org/debian trixie/main amd64 libqt6opengl6 amd64 6.7.2+dfsg-4 [404 kB] Get: 442 http://deb.debian.org/debian trixie/main amd64 libqt6openglwidgets6 amd64 6.7.2+dfsg-4 [49.1 kB] Get: 443 http://deb.debian.org/debian trixie/main amd64 libqt6xml6 amd64 6.7.2+dfsg-4 [83.6 kB] Get: 444 http://deb.debian.org/debian trixie/main amd64 libogg0 amd64 1.3.5-3+b2 [23.8 kB] Get: 445 http://deb.debian.org/debian trixie/main amd64 libflac12t64 amd64 1.4.3+ds-2.1+b1 [201 kB] Get: 446 http://deb.debian.org/debian trixie/main amd64 libmp3lame0 amd64 3.100-6+b3 [363 kB] Get: 447 http://deb.debian.org/debian trixie/main amd64 libmpg123-0t64 amd64 1.32.9-1 [149 kB] Get: 448 http://deb.debian.org/debian trixie/main amd64 libvorbis0a amd64 1.3.7-2+b1 [91.1 kB] Get: 449 http://deb.debian.org/debian trixie/main amd64 libvorbisenc2 amd64 1.3.7-2+b1 [76.1 kB] Get: 450 http://deb.debian.org/debian trixie/main amd64 libsndfile1 amd64 1.2.2-1+b3 [199 kB] Get: 451 http://deb.debian.org/debian trixie/main amd64 libspqr4 amd64 1:7.8.3+dfsg-2 [146 kB] Get: 452 http://deb.debian.org/debian trixie/main amd64 libumfpack6 amd64 1:7.8.3+dfsg-2 [280 kB] Get: 453 http://deb.debian.org/debian trixie/main amd64 libtext-unidecode-perl all 1.30-3 [101 kB] Get: 454 http://deb.debian.org/debian trixie/main amd64 texinfo-lib amd64 7.1.1-1+b1 [232 kB] Get: 455 http://deb.debian.org/debian trixie/main amd64 tex-common all 6.18 [32.5 kB] Get: 456 http://deb.debian.org/debian trixie/main amd64 texinfo all 7.1.1-1 [1753 kB] Get: 457 http://deb.debian.org/debian trixie/main amd64 octave-common all 9.2.0-3 [6591 kB] Get: 458 http://deb.debian.org/debian trixie/main amd64 octave amd64 9.2.0-3+b1 [9721 kB] Get: 459 http://deb.debian.org/debian trixie/main amd64 libncurses6 amd64 6.5-2+b1 [105 kB] Get: 460 http://deb.debian.org/debian trixie/main amd64 libncurses-dev amd64 6.5-2+b1 [351 kB] Get: 461 http://deb.debian.org/debian trixie/main amd64 libreadline-dev amd64 8.2-5 [153 kB] Get: 462 http://deb.debian.org/debian trixie/main amd64 libhdf5-fortran-102t64 amd64 1.10.10+repack-4 [89.5 kB] Get: 463 http://deb.debian.org/debian trixie/main amd64 libhdf5-hl-100t64 amd64 1.10.10+repack-4 [63.9 kB] Get: 464 http://deb.debian.org/debian trixie/main amd64 libhdf5-hl-fortran-100t64 amd64 1.10.10+repack-4 [40.5 kB] Get: 465 http://deb.debian.org/debian trixie/main amd64 libhdf5-cpp-103-1t64 amd64 1.10.10+repack-4 [130 kB] Get: 466 http://deb.debian.org/debian trixie/main amd64 libhdf5-hl-cpp-100t64 amd64 1.10.10+repack-4 [21.4 kB] Get: 467 http://deb.debian.org/debian trixie/main amd64 zlib1g-dev amd64 1:1.3.dfsg+really1.3.1-1+b1 [920 kB] Get: 468 http://deb.debian.org/debian trixie/main amd64 libjpeg62-turbo-dev amd64 1:2.1.5-3+b1 [292 kB] Get: 469 http://deb.debian.org/debian trixie/main amd64 libjpeg-dev amd64 1:2.1.5-3+b1 [72.2 kB] Get: 470 http://deb.debian.org/debian trixie/main amd64 libaec-dev amd64 1.1.3-1+b1 [21.5 kB] Get: 471 http://deb.debian.org/debian trixie/main amd64 libbrotli-dev amd64 1.1.0-2+b6 [316 kB] Get: 472 http://deb.debian.org/debian trixie/main amd64 libidn2-dev amd64 2.3.7-2+b1 [123 kB] Get: 473 http://deb.debian.org/debian trixie/main amd64 libgssrpc4t64 amd64 1.21.3-3 [59.5 kB] Get: 474 http://deb.debian.org/debian trixie/main amd64 libkadm5clnt-mit12 amd64 1.21.3-3 [41.7 kB] Get: 475 http://deb.debian.org/debian trixie/main amd64 libkdb5-10t64 amd64 1.21.3-3 [42.0 kB] Get: 476 http://deb.debian.org/debian trixie/main amd64 libkadm5srv-mit12 amd64 1.21.3-3 [53.5 kB] Get: 477 http://deb.debian.org/debian trixie/main amd64 krb5-multidev amd64 1.21.3-3 [126 kB] Get: 478 http://deb.debian.org/debian trixie/main amd64 libkrb5-dev amd64 1.21.3-3 [15.7 kB] Get: 479 http://deb.debian.org/debian trixie/main amd64 libldap-dev amd64 2.5.18+dfsg-3+b1 [303 kB] Get: 480 http://deb.debian.org/debian trixie/main amd64 libpkgconf3 amd64 1.8.1-4 [36.4 kB] Get: 481 http://deb.debian.org/debian trixie/main amd64 pkgconf-bin amd64 1.8.1-4 [30.2 kB] Get: 482 http://deb.debian.org/debian trixie/main amd64 pkgconf amd64 1.8.1-4 [26.2 kB] Get: 483 http://deb.debian.org/debian trixie/main amd64 libnghttp2-dev amd64 1.64.0-1 [115 kB] Get: 484 http://deb.debian.org/debian trixie/main amd64 libpsl-dev amd64 0.21.2-1.1+b1 [77.6 kB] Get: 485 http://deb.debian.org/debian trixie/main amd64 libgmpxx4ldbl amd64 2:6.3.0+dfsg-2+b2 [329 kB] Get: 486 http://deb.debian.org/debian trixie/main amd64 libgmp-dev amd64 2:6.3.0+dfsg-2+b2 [642 kB] Get: 487 http://deb.debian.org/debian trixie/main amd64 libevent-2.1-7t64 amd64 2.1.12-stable-10+b1 [182 kB] Get: 488 http://deb.debian.org/debian trixie/main amd64 libunbound8 amd64 1.22.0-1 [598 kB] Get: 489 http://deb.debian.org/debian trixie/main amd64 libgnutls-dane0t64 amd64 3.8.8-2 [449 kB] Get: 490 http://deb.debian.org/debian trixie/main amd64 libgnutls-openssl27t64 amd64 3.8.8-2 [449 kB] Get: 491 http://deb.debian.org/debian trixie/main amd64 libp11-kit-dev amd64 0.25.5-2+b1 [208 kB] Get: 492 http://deb.debian.org/debian trixie/main amd64 libtasn1-6-dev amd64 4.19.0-3+b3 [98.9 kB] Get: 493 http://deb.debian.org/debian trixie/main amd64 nettle-dev amd64 3.10-1+b1 [1317 kB] Get: 494 http://deb.debian.org/debian trixie/main amd64 libgnutls28-dev amd64 3.8.8-2 [1391 kB] Get: 495 http://deb.debian.org/debian trixie/main amd64 librtmp-dev amd64 2.4+20151223.gitfa8646d.1-2+b5 [68.0 kB] Get: 496 http://deb.debian.org/debian trixie/main amd64 libssl-dev amd64 3.3.2-2 [2742 kB] Get: 497 http://deb.debian.org/debian trixie/main amd64 libssh2-1-dev amd64 1.11.1-1 [393 kB] Get: 498 http://deb.debian.org/debian trixie/main amd64 libzstd-dev amd64 1.5.6+dfsg-1+b1 [365 kB] Get: 499 http://deb.debian.org/debian trixie/main amd64 libcurl4-openssl-dev amd64 8.11.0-1 [461 kB] Get: 500 http://deb.debian.org/debian trixie/main amd64 hdf5-helpers amd64 1.10.10+repack-4 [23.5 kB] Get: 501 http://deb.debian.org/debian trixie/main amd64 libhdf5-dev amd64 1.10.10+repack-4 [2652 kB] Get: 502 http://deb.debian.org/debian trixie/main amd64 xorg-sgml-doctools all 1:1.11-1.1 [22.1 kB] Get: 503 http://deb.debian.org/debian trixie/main amd64 x11proto-dev all 2024.1-1 [603 kB] Get: 504 http://deb.debian.org/debian trixie/main amd64 libxau-dev amd64 1:1.0.11-1 [23.6 kB] Get: 505 http://deb.debian.org/debian trixie/main amd64 libxdmcp-dev amd64 1:1.1.5-1 [44.3 kB] Get: 506 http://deb.debian.org/debian trixie/main amd64 xtrans-dev all 1.4.0-1 [98.7 kB] Get: 507 http://deb.debian.org/debian trixie/main amd64 libxcb1-dev amd64 1.17.0-2+b1 [181 kB] Get: 508 http://deb.debian.org/debian trixie/main amd64 libx11-dev amd64 2:1.8.10-2 [891 kB] Get: 509 http://deb.debian.org/debian trixie/main amd64 libglx-dev amd64 1.7.0-1+b2 [15.8 kB] Get: 510 http://deb.debian.org/debian trixie/main amd64 libgl-dev amd64 1.7.0-1+b2 [101 kB] Get: 511 http://deb.debian.org/debian trixie/main amd64 libblas-dev amd64 3.12.0-3+b1 [161 kB] Get: 512 http://deb.debian.org/debian trixie/main amd64 liblapack-dev amd64 3.12.0-3+b1 [4990 kB] Get: 513 http://deb.debian.org/debian trixie/main amd64 libfftw3-long3 amd64 3.3.10-1+b3 [344 kB] Get: 514 http://deb.debian.org/debian trixie/main amd64 libfftw3-quad3 amd64 3.3.10-1+b3 [607 kB] Get: 515 http://deb.debian.org/debian trixie/main amd64 libfftw3-bin amd64 3.3.10-1+b3 [52.4 kB] Get: 516 http://deb.debian.org/debian trixie/main amd64 libfftw3-dev amd64 3.3.10-1+b3 [2124 kB] Get: 517 http://deb.debian.org/debian trixie/main amd64 libgfortran-14-dev amd64 14.2.0-8 [878 kB] Get: 518 http://deb.debian.org/debian trixie/main amd64 gfortran-14-x86-64-linux-gnu amd64 14.2.0-8 [11.7 MB] Get: 519 http://deb.debian.org/debian trixie/main amd64 gfortran-14 amd64 14.2.0-8 [12.2 kB] Get: 520 http://deb.debian.org/debian trixie/main amd64 gfortran-x86-64-linux-gnu amd64 4:14.2.0-1 [1284 B] Get: 521 http://deb.debian.org/debian trixie/main amd64 gfortran amd64 4:14.2.0-1 [1436 B] Get: 522 http://deb.debian.org/debian trixie/main amd64 octave-dev amd64 9.2.0-3+b1 [1001 kB] Get: 523 http://deb.debian.org/debian trixie/main amd64 dh-octave all 1.8.0 [22.7 kB] Fetched 201 MB in 4s (47.9 MB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package netbase. (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 ... 19969 files and directories currently installed.) Preparing to unpack .../000-netbase_6.4_all.deb ... Unpacking netbase (6.4) ... Selecting previously unselected package readline-common. Preparing to unpack .../001-readline-common_8.2-5_all.deb ... Unpacking readline-common (8.2-5) ... Selecting previously unselected package sensible-utils. Preparing to unpack .../002-sensible-utils_0.0.24_all.deb ... Unpacking sensible-utils (0.0.24) ... Selecting previously unselected package openssl. Preparing to unpack .../003-openssl_3.3.2-2_amd64.deb ... Unpacking openssl (3.3.2-2) ... Selecting previously unselected package ca-certificates. Preparing to unpack .../004-ca-certificates_20240203_all.deb ... Unpacking ca-certificates (20240203) ... Selecting previously unselected package libmagic-mgc. Preparing to unpack .../005-libmagic-mgc_1%3a5.45-3+b1_amd64.deb ... Unpacking libmagic-mgc (1:5.45-3+b1) ... Selecting previously unselected package libmagic1t64:amd64. Preparing to unpack .../006-libmagic1t64_1%3a5.45-3+b1_amd64.deb ... Unpacking libmagic1t64:amd64 (1:5.45-3+b1) ... Selecting previously unselected package file. Preparing to unpack .../007-file_1%3a5.45-3+b1_amd64.deb ... Unpacking file (1:5.45-3+b1) ... Selecting previously unselected package gettext-base. Preparing to unpack .../008-gettext-base_0.22.5-2_amd64.deb ... Unpacking gettext-base (0.22.5-2) ... 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Selecting previously unselected package libsub-name-perl:amd64. Preparing to unpack .../221-libsub-name-perl_0.27-1+b3_amd64.deb ... Unpacking libsub-name-perl:amd64 (0.27-1+b3) ... Selecting previously unselected package libnamespace-clean-perl. Preparing to unpack .../222-libnamespace-clean-perl_0.27-2_all.deb ... Unpacking libnamespace-clean-perl (0.27-2) ... Selecting previously unselected package libnumber-compare-perl. Preparing to unpack .../223-libnumber-compare-perl_0.03-3_all.deb ... Unpacking libnumber-compare-perl (0.03-3) ... Selecting previously unselected package libtext-glob-perl. Preparing to unpack .../224-libtext-glob-perl_0.11-3_all.deb ... Unpacking libtext-glob-perl (0.11-3) ... Selecting previously unselected package libpath-iterator-rule-perl. Preparing to unpack .../225-libpath-iterator-rule-perl_1.015-2_all.deb ... Unpacking libpath-iterator-rule-perl (1.015-2) ... Selecting previously unselected package libpod-parser-perl. Preparing to unpack .../226-libpod-parser-perl_1.67-1_all.deb ... Adding 'diversion of /usr/bin/podselect to /usr/bin/podselect.bundled by libpod-parser-perl' Adding 'diversion of /usr/share/man/man1/podselect.1.gz to /usr/share/man/man1/podselect.bundled.1.gz by libpod-parser-perl' Unpacking libpod-parser-perl (1.67-1) ... Selecting previously unselected package libpod-constants-perl. Preparing to unpack .../227-libpod-constants-perl_0.19-2_all.deb ... Unpacking libpod-constants-perl (0.19-2) ... Selecting previously unselected package libset-intspan-perl. Preparing to unpack .../228-libset-intspan-perl_1.19-3_all.deb ... Unpacking libset-intspan-perl (1.19-3) ... Selecting previously unselected package libstring-copyright-perl. Preparing to unpack .../229-libstring-copyright-perl_0.003014-1_all.deb ... Unpacking libstring-copyright-perl (0.003014-1) ... Selecting previously unselected package libstring-escape-perl. Preparing to unpack .../230-libstring-escape-perl_2010.002-3_all.deb ... Unpacking libstring-escape-perl (2010.002-3) ... Selecting previously unselected package libregexp-pattern-license-perl. Preparing to unpack .../231-libregexp-pattern-license-perl_3.11.2-1_all.deb ... Unpacking libregexp-pattern-license-perl (3.11.2-1) ... Selecting previously unselected package libregexp-pattern-perl. Preparing to unpack .../232-libregexp-pattern-perl_0.2.14-2_all.deb ... Unpacking libregexp-pattern-perl (0.2.14-2) ... Selecting previously unselected package libstring-license-perl. Preparing to unpack .../233-libstring-license-perl_0.0.11-1_all.deb ... Unpacking libstring-license-perl (0.0.11-1) ... Selecting previously unselected package licensecheck. Preparing to unpack .../234-licensecheck_3.3.9-1_all.deb ... Unpacking licensecheck (3.3.9-1) ... Selecting previously unselected package diffstat. Preparing to unpack .../235-diffstat_1.67-1_amd64.deb ... Unpacking diffstat (1.67-1) ... Selecting previously unselected package libassuan9:amd64. Preparing to unpack .../236-libassuan9_3.0.1-2_amd64.deb ... Unpacking libassuan9:amd64 (3.0.1-2) ... Selecting previously unselected package libreadline8t64:amd64. Preparing to unpack .../237-libreadline8t64_8.2-5_amd64.deb ... Adding 'diversion of /lib/x86_64-linux-gnu/libhistory.so.8 to /lib/x86_64-linux-gnu/libhistory.so.8.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/x86_64-linux-gnu/libhistory.so.8.2 to /lib/x86_64-linux-gnu/libhistory.so.8.2.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/x86_64-linux-gnu/libreadline.so.8 to /lib/x86_64-linux-gnu/libreadline.so.8.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/x86_64-linux-gnu/libreadline.so.8.2 to /lib/x86_64-linux-gnu/libreadline.so.8.2.usr-is-merged by libreadline8t64' Unpacking libreadline8t64:amd64 (8.2-5) ... Selecting previously unselected package gpgconf. Preparing to unpack .../238-gpgconf_2.2.45-2_amd64.deb ... 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Setting up plzip (1.11-2) ... update-alternatives: using /usr/bin/lzip.plzip to provide /usr/bin/lzip (lzip) in auto mode update-alternatives: using /usr/bin/lzip.plzip to provide /usr/bin/lzip-compressor (lzip-compressor) in auto mode update-alternatives: using /usr/bin/lzip.plzip to provide /usr/bin/lzip-decompressor (lzip-decompressor) in auto mode Setting up libsharpyuv0:amd64 (1.4.0-0.1+b1) ... Setting up libwayland-server0:amd64 (1.23.0-1+b1) ... Setting up libaom3:amd64 (3.11.0-1) ... Setting up libpciaccess0:amd64 (0.17-3+b2) ... Setting up libfile-which-perl (1.27-2) ... Setting up libxau6:amd64 (1:1.0.11-1) ... Setting up libxdmcp6:amd64 (1:1.1.5-1) ... Setting up libdouble-conversion3:amd64 (3.3.0-1+b2) ... Setting up libkeyutils1:amd64 (1.6.3-4) ... Setting up libxcb1:amd64 (1.17.0-2+b1) ... Setting up libunicode-utf8-perl (0.62-2+b3) ... Setting up libfftw3-single3:amd64 (3.3.10-1+b3) ... Setting up libset-intspan-perl (1.19-3) ... 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Setting up libclone-perl:amd64 (0.47-1+b1) ... Setting up libarchive-zip-perl (1.68-1) ... Setting up libyaml-0-2:amd64 (0.2.5-1+b2) ... Setting up libsub-identify-perl (0.14-3+b3) ... Setting up libcpanel-json-xs-perl:amd64 (4.38-1+b1) ... Setting up libglvnd0:amd64 (1.7.0-1+b2) ... Setting up libio-stringy-perl (2.113-2) ... Setting up libhtml-tagset-perl (3.24-1) ... Setting up libts0t64:amd64 (1.22-1.1+b1) ... Setting up liblog-any-perl (1.717-1) ... Setting up libyaml-pp-perl (0.38.0-1) ... Setting up libxcb-glx0:amd64 (1.17.0-2+b1) ... Setting up libdevel-size-perl (0.84-1+b1) ... Setting up unzip (6.0-28) ... Setting up libdebhelper-perl (13.20) ... Setting up libbrotli1:amd64 (1.1.0-2+b6) ... Setting up libedit2:amd64 (3.1-20240808-1) ... Setting up libregexp-pattern-license-perl (3.11.2-1) ... Setting up libconvert-binhex-perl (1.125-3) ... Setting up liblwp-mediatypes-perl (6.04-2) ... Setting up libmagic1t64:amd64 (1:5.45-3+b1) ... Setting up libyaml-libyaml-perl (0.902.0+ds-2+b1) ... Setting up fonts-freefont-otf (20211204+svn4273-2) ... Setting up libio-interactive-perl (1.025-1) ... Setting up libxcb-keysyms1:amd64 (0.4.0-1+b3) ... Setting up libxcb-shape0:amd64 (1.17.0-2+b1) ... Setting up x11-common (1:7.7+23.1) ... invoke-rc.d: could not determine current runlevel Setting up X socket directories... /tmp/.X11-unix /tmp/.ICE-unix. Setting up libtry-tiny-perl (0.32-1) ... Setting up libsensors-config (1:3.6.0-10) ... Setting up libpsl5t64:amd64 (0.21.2-1.1+b1) ... Setting up libnghttp2-14:amd64 (1.64.0-1) ... Setting up libdeflate0:amd64 (1.22-1) ... Setting up perl-openssl-defaults:amd64 (7+b2) ... Setting up libmldbm-perl (2.05-4) ... Setting up libxml-namespacesupport-perl (1.12-2) ... Setting up libfftw3-long3:amd64 (3.3.10-1+b3) ... Setting up gettext-base (0.22.5-2) ... Setting up m4 (1.4.19-4) ... Setting up libevent-2.1-7t64:amd64 (2.1.12-stable-10+b1) ... Setting up libclone-choose-perl (0.010-2) ... Setting up libqhull-r8.0:amd64 (2020.2-6+b2) ... Setting up libxcb-render-util0:amd64 (0.3.9-1+b2) ... Setting up xkb-data (2.42-1) ... Setting up liblzo2-2:amd64 (2.10-3+b1) ... Setting up libtime-moment-perl (0.44-2+b4) ... Setting up libencode-locale-perl (1.05-3) ... Setting up libxcb-shm0:amd64 (1.17.0-2+b1) ... Setting up libxcb-icccm4:amd64 (0.4.2-1) ... Setting up libcom-err2:amd64 (1.47.1-1+b1) ... Setting up file (1:5.45-3+b1) ... Setting up texinfo-lib (7.1.1-1+b1) ... Setting up libmpg123-0t64:amd64 (1.32.9-1) ... Setting up libconfig-tiny-perl (2.30-1) ... Setting up libsereal-encoder-perl (5.004+ds-1+b3) ... Setting up liblist-utilsby-perl (0.12-2) ... Setting up libyaml-tiny-perl (1.74-1) ... Setting up libjbig0:amd64 (2.1-6.1+b2) ... Setting up octave-common (9.2.0-3) ... Setting up libregexp-common-perl (2024080801-1) ... Setting up libpcre2-16-0:amd64 (10.42-4+b2) ... Setting up libaec0:amd64 (1.1.3-1+b1) ... Setting up libnet-netmask-perl (2.0002-2) ... Setting up libopengl0:amd64 (1.7.0-1+b2) ... Setting up libsub-install-perl (0.929-1) ... Setting up libelf1t64:amd64 (0.192-4) ... Setting up libxcb-util1:amd64 (0.4.0-1+b2) ... Setting up libpsl-dev:amd64 (0.21.2-1.1+b1) ... Setting up libindirect-perl (0.39-2+b4) ... Setting up libxcb-xkb1:amd64 (1.17.0-2+b1) ... Setting up libxcb-image0:amd64 (0.4.0-2+b2) ... Setting up libkrb5support0:amd64 (1.21.3-3) ... Setting up libnumber-compare-perl (0.03-3) ... Setting up libsasl2-modules-db:amd64 (2.1.28+dfsg1-8) ... Setting up libxcb-present0:amd64 (1.17.0-2+b1) ... Setting up liberror-perl (0.17029-2) ... Setting up libasound2-data (1.2.12-1) ... Setting up libjson-maybexs-perl (1.004008-1) ... Setting up libxml-sax-base-perl (1.09-3) ... Setting up libio-string-perl (1.08-4) ... Setting up libboolean-perl (0.46-3) ... Setting up libnetaddr-ip-perl (4.079+dfsg-2+b4) ... Setting up xtrans-dev (1.4.0-1) ... Setting up autotools-dev (20220109.1) ... Setting up libz3-4:amd64 (4.13.3-1) ... Setting up libglib2.0-0t64:amd64 (2.82.2-2) ... No schema files found: doing nothing. Setting up libblas3:amd64 (3.12.0-3+b1) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so.3 to provide /usr/lib/x86_64-linux-gnu/libblas.so.3 (libblas.so.3-x86_64-linux-gnu) in auto mode Setting up libclass-data-inheritable-perl (0.10-1) ... Setting up libunbound8:amd64 (1.22.0-1) ... Setting up libpkgconf3:amd64 (1.8.1-4) ... Setting up libgmpxx4ldbl:amd64 (2:6.3.0+dfsg-2+b2) ... Setting up libalgorithm-c3-perl (0.11-2) ... Setting up libasound2t64:amd64 (1.2.12-1+b1) ... Setting up liblog-log4perl-perl (1.57-1) ... Setting up libtext-reform-perl (1.20-5) ... Setting up libjpeg62-turbo:amd64 (1:2.1.5-3+b1) ... Setting up libgnutls-dane0t64:amd64 (3.8.8-2) ... Setting up libx11-data (2:1.8.10-2) ... Setting up libsvtav1enc2:amd64 (2.2.1+dfsg-2) ... Setting up libjpeg62-turbo-dev:amd64 (1:2.1.5-3+b1) ... Setting up libfile-find-rule-perl (0.34-3) ... Setting up libxcb-sync1:amd64 (1.17.0-2+b1) ... Setting up librtmp1:amd64 (2.4+20151223.gitfa8646d.1-2+b5) ... Setting up libipc-system-simple-perl (1.30-2) ... Setting up libio-tiecombine-perl (1.005-3) ... Setting up libnet-domain-tld-perl (1.75-4) ... Setting up libperlio-utf8-strict-perl (0.010-1+b3) ... Setting up aglfn (1.7+git20191031.4036a9c-2) ... Setting up libxcb-cursor0:amd64 (0.1.4-1+b2) ... Setting up libavahi-common-data:amd64 (0.8-13+b3) ... Setting up libncurses6:amd64 (6.5-2+b1) ... Setting up libdbus-1-3:amd64 (1.14.10-6) ... Setting up libfftw3-quad3:amd64 (3.3.10-1+b3) ... Setting up libfribidi0:amd64 (1.0.15-1) ... Setting up libopus0:amd64 (1.5.2-2) ... Setting up t1utils (1.41-4) ... Setting up diffstat (1.67-1) ... Setting up libimagequant0:amd64 (2.18.0-1+b2) ... Setting up comerr-dev:amd64 (2.1-1.47.1-1+b1) ... Setting up fonts-dejavu-mono (2.37-8) ... Setting up libssl-dev:amd64 (3.3.2-2) ... Setting up libpng16-16t64:amd64 (1.6.44-2) ... Setting up libimath-3-1-29t64:amd64 (3.1.12-1+b1) ... Setting up libvorbis0a:amd64 (1.3.7-2+b1) ... Setting up libvariable-magic-perl (0.64-1+b1) ... Setting up libio-html-perl (1.004-3) ... Setting up libtext-template-perl (1.61-1) ... Setting up libpod-parser-perl (1.67-1) ... Setting up autopoint (0.22.5-2) ... Setting up libb-hooks-op-check-perl:amd64 (0.22-3+b2) ... Setting up fonts-dejavu-core (2.37-8) ... Setting up liblist-moreutils-xs-perl (0.430-4+b2) ... Setting up pkgconf-bin (1.8.1-4) ... Setting up libsensors5:amd64 (1:3.6.0-10+b1) ... Setting up libk5crypto3:amd64 (1.21.3-3) ... Setting up libqscintilla2-qt6-l10n (2.14.1+dfsg-1) ... Setting up libltdl7:amd64 (2.4.7-8) ... Setting up libidn2-dev:amd64 (2.3.7-2+b1) ... Setting up libfftw3-double3:amd64 (3.3.10-1+b3) ... Setting up libglapi-mesa:amd64 (24.2.7-1) ... Setting up libparams-util-perl (1.102-3+b1) ... Setting up libsasl2-2:amd64 (2.1.28+dfsg1-8) ... Setting up libgfortran5:amd64 (14.2.0-8) ... Setting up libvulkan1:amd64 (1.3.296.0-1) ... Setting up libtime-duration-perl (1.21-2) ... Setting up autoconf (2.72-3) ... Setting up libtext-xslate-perl:amd64 (3.5.9-2+b1) ... Setting up libnghttp3-9:amd64 (1.4.0-1+b1) ... Setting up libsub-exporter-progressive-perl (0.001013-3) ... Setting up libwebp7:amd64 (1.4.0-0.1+b1) ... Setting up libarray-intspan-perl (2.004-2) ... Setting up libcapture-tiny-perl (0.48-2) ... Setting up libtimedate-perl (2.3300-2) ... Setting up libexporter-lite-perl (0.09-2) ... Setting up libxcb-dri2-0:amd64 (1.17.0-2+b1) ... Setting up libsub-name-perl:amd64 (0.27-1+b3) ... Setting up libgif7:amd64 (5.2.2-1+b1) ... Setting up zlib1g-dev:amd64 (1:1.3.dfsg+really1.3.1-1+b1) ... Setting up dwz (0.15-1+b1) ... Setting up libdata-validate-domain-perl (0.15-1) ... Setting up libproc-processtable-perl:amd64 (0.636-1+b3) ... Setting up libparse-recdescent-perl (1.967015+dfsg-4) ... Setting up libdav1d7:amd64 (1.5.0-1+b1) ... Setting up libmtdev1t64:amd64 (1.1.6-1.2+b1) ... Setting up sensible-utils (0.0.24) ... Setting up libduktape207:amd64 (2.7.0-2+b2) ... Setting up libxshmfence1:amd64 (1.3-1+b2) ... Setting up libtiff6:amd64 (4.5.1+git230720-5) ... Setting up libxcb-randr0:amd64 (1.17.0-2+b1) ... Setting up librav1e0.7:amd64 (0.7.1-7+b2) ... Setting up libpath-tiny-perl (0.146-1) ... Setting up libuchardet0:amd64 (0.0.8-1+b2) ... Setting up lzop (1.04-2) ... Setting up libassuan9:amd64 (3.0.1-2) ... Setting up libjson-perl (4.10000-1) ... Setting up liblog-any-adapter-screen-perl (0.141-1) ... Setting up librole-tiny-perl (2.002004-1) ... Setting up libipc-run3-perl (0.049-1) ... Setting up libmd4c0:amd64 (0.5.2-2+b1) ... Setting up libregexp-wildcards-perl (1.05-3) ... Setting up libmousex-strictconstructor-perl (0.02-3) ... Setting up libfile-sharedir-perl (1.118-3) ... Setting up libsub-uplevel-perl (0.2800-3) ... Setting up libsuitesparseconfig7:amd64 (1:7.8.3+dfsg-2) ... Setting up liblua5.4-0:amd64 (5.4.6-3+b2) ... Setting up libx11-6:amd64 (2:1.8.10-2) ... Setting up libaliased-perl (0.34-3) ... Setting up libthai-data (0.1.29-2) ... Setting up xorg-sgml-doctools (1:1.11-1.1) ... Setting up netbase (6.4) ... Setting up libabsl20230802:amd64 (20230802.1-4) ... Setting up libngtcp2-16:amd64 (1.6.0-1) ... Setting up libstrictures-perl (2.000006-1) ... Setting up libsub-quote-perl (2.006008-1) ... Setting up libdevel-stacktrace-perl (2.0500-1) ... Setting up libclass-xsaccessor-perl (1.19-4+b4) ... Setting up libtext-autoformat-perl (1.750000-2) ... Setting up libkrb5-3:amd64 (1.21.3-3) ... Setting up libglu1-mesa:amd64 (9.0.2-1.1+b2) ... Setting up libflac12t64:amd64 (1.4.3+ds-2.1+b1) ... Setting up libtoml-tiny-perl (0.18-1) ... Setting up libstemmer0d:amd64 (2.2.0-4+b2) ... Setting up libsort-versions-perl (1.62-3) ... Setting up libssh2-1t64:amd64 (1.11.1-1) ... Setting up libexporter-tiny-perl (1.006002-1) ... Setting up libterm-readkey-perl (2.38-2+b4) ... Setting up libtext-unidecode-perl (1.30-3) ... Setting up libde265-0:amd64 (1.0.15-1+b2) ... Setting up libfont-ttf-perl (1.06-2) ... Setting up libfile-homedir-perl (1.006-2) ... Setting up libsamplerate0:amd64 (0.2.2-4+b2) ... Setting up libtasn1-6-dev:amd64 (4.19.0-3+b3) ... Setting up openssl (3.3.2-2) ... Setting up libwebpmux3:amd64 (1.4.0-0.1+b1) ... Setting up libtext-levenshteinxs-perl (0.03-5+b4) ... Setting up libperlio-gzip-perl (0.20-1+b4) ... Setting up libdrm-common (2.4.123-1) ... Setting up libyuv0:amd64 (0.0.1897.20241115-1) ... Setting up libevdev2:amd64 (1.13.3+dfsg-1) ... Setting up readline-common (8.2-5) ... Setting up libxml2:amd64 (2.12.7+dfsg+really2.9.14-0.2+b1) ... Setting up libhtml-html5-entities-perl (0.004-3) ... Setting up libtext-levenshtein-damerau-perl (0.41-3) ... Setting up libsereal-decoder-perl (5.004+ds-1+b3) ... Setting up libmarkdown2:amd64 (2.2.7-2.1) ... Setting up liburi-perl (5.30-1) ... Setting up iso-codes (4.17.0-1) ... Setting up libnet-ipv6addr-perl (1.02-1) ... Setting up libbrotli-dev:amd64 (1.1.0-2+b6) ... Setting up libgudev-1.0-0:amd64 (238-5+b1) ... Setting up libngtcp2-crypto-gnutls8:amd64 (1.6.0-1) ... Setting up libp11-kit-dev:amd64 (0.25.5-2+b1) ... Setting up libmp3lame0:amd64 (3.100-6+b3) ... Setting up libblas-dev:amd64 (3.12.0-3+b1) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so to provide /usr/lib/x86_64-linux-gnu/libblas.so (libblas.so-x86_64-linux-gnu) in auto mode Setting up libsz2:amd64 (1.1.3-1+b1) ... Setting up libvorbisenc2:amd64 (1.3.7-2+b1) ... Setting up libdata-validate-ip-perl (0.31-1) ... Setting up libwacom-common (2.13.0-1) ... Setting up libmousex-nativetraits-perl (1.09-3) ... Setting up libemail-address-xs-perl (1.05-1+b4) ... Setting up libxkbcommon0:amd64 (1.6.0-1+b2) ... Setting up libwayland-client0:amd64 (1.23.0-1+b1) ... Setting up libnet-ssleay-perl:amd64 (1.94-2) ... Setting up automake (1:1.16.5-1.3) ... update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode Setting up libgfortran-14-dev:amd64 (14.2.0-8) ... Setting up x11proto-dev (2024.1-1) ... Setting up libfile-stripnondeterminism-perl (1.14.0-1) ... Setting up libxcb-dri3-0:amd64 (1.17.0-2+b1) ... Setting up gnuplot-data (6.0.0+dfsg1-3) ... Setting up libllvm19:amd64 (1:19.1.3-2) ... Setting up libx11-xcb1:amd64 (2:1.8.10-2) ... Setting up libice6:amd64 (2:1.1.1-1) ... Setting up libhttp-date-perl (6.06-1) ... Setting up liblapack3:amd64 (3.12.0-3+b1) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/x86_64-linux-gnu/liblapack.so.3 (liblapack.so.3-x86_64-linux-gnu) in auto mode Setting up libncurses-dev:amd64 (6.5-2+b1) ... Setting up libfile-basedir-perl (0.09-2) ... Setting up gettext (0.22.5-2) ... Setting up libarpack2t64:amd64 (3.9.1-1.1+b2) ... Setting up libgmp-dev:amd64 (2:6.3.0+dfsg-2+b2) ... Setting up libamd3:amd64 (1:7.8.3+dfsg-2) ... Setting up libfile-listing-perl (6.16-1) ... Setting up libxau-dev:amd64 (1:1.0.11-1) ... Setting up libxpm4:amd64 (1:3.5.17-1+b2) ... Setting up nettle-dev:amd64 (3.10-1+b1) ... Setting up libxrender1:amd64 (1:0.9.10-1.1+b2) ... Setting up libtool (2.4.7-8) ... Setting up libcolamd3:amd64 (1:7.8.3+dfsg-2) ... Setting up libfftw3-bin (3.3.10-1+b3) ... Setting up libwacom9:amd64 (2.13.0-1) ... Setting up fontconfig-config (2.15.0-1.1+b1) ... Setting up liblist-moreutils-perl (0.430-2) ... Setting up libxmlb2:amd64 (0.3.21-1) ... Setting up libpod-constants-perl (0.19-2) ... Setting up libhash-merge-perl (0.302-1) ... Setting up libsoftware-copyright-perl (0.012-2) ... Setting up libaec-dev:amd64 (1.1.3-1+b1) ... Setting up libavahi-common3:amd64 (0.8-13+b3) ... Setting up libcxsparse4:amd64 (1:7.8.3+dfsg-2) ... Setting up libjpeg-dev:amd64 (1:2.1.5-3+b1) ... Setting up libxext6:amd64 (2:1.3.4-1+b2) ... Setting up libnet-http-perl (6.23-1) ... Setting up libpath-iterator-rule-perl (1.015-2) ... Setting up libtext-markdown-discount-perl (0.16-1+b3) ... Setting up libexception-class-perl (1.45-1) ... Setting up libclass-c3-perl (0.35-2) ... Setting up libqrupdate1:amd64 (1.1.5-1) ... Setting up libdevel-callchecker-perl:amd64 (0.009-1+b1) ... Setting up libldap-2.5-0:amd64 (2.5.18+dfsg-3+b1) ... Setting up libcamd3:amd64 (1:7.8.3+dfsg-2) ... Setting up gfortran-14-x86-64-linux-gnu (14.2.0-8) ... Setting up pkgconf:amd64 (1.8.1-4) ... Setting up libxxf86vm1:amd64 (1:1.1.4-1+b3) ... Setting up libinput-bin (1.26.2-1) ... Setting up libxs-parse-sublike-perl:amd64 (0.30-1) ... Setting up intltool-debian (0.35.0+20060710.6) ... Setting up dh-autoreconf (20) ... Setting up patchutils (0.4.2-1) ... Setting up libthai0:amd64 (0.1.29-2+b1) ... Setting up ca-certificates (20240203) ... Updating certificates in /etc/ssl/certs... 146 added, 0 removed; done. Setting up libxdmcp-dev:amd64 (1:1.1.5-1) ... Setting up libdata-validate-uri-perl (0.07-3) ... Setting up libxs-parse-keyword-perl (0.46-1+b1) ... Setting up libtest-exception-perl (0.43-3) ... Setting up libfreetype6:amd64 (2.13.3+dfsg-1) ... Setting up libglpk40:amd64 (5.0-1+b2) ... Setting up libxfixes3:amd64 (1:6.0.0-2+b2) ... Setting up libstring-copyright-perl (0.003014-1) ... Setting up libldap-dev:amd64 (2.5.18+dfsg-3+b1) ... Setting up libopenexr-3-1-30:amd64 (3.1.5-5.1+b3) ... Setting up shared-mime-info (2.4-5+b1) ... Setting up libxinerama1:amd64 (2:1.1.4-3+b2) ... Setting up libxkbcommon-x11-0:amd64 (1.6.0-1+b2) ... Setting up liblapack-dev:amd64 (3.12.0-3+b1) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/lapack/liblapack.so to provide /usr/lib/x86_64-linux-gnu/liblapack.so (liblapack.so-x86_64-linux-gnu) in auto mode Setting up libgssapi-krb5-2:amd64 (1.21.3-3) ... Setting up libdata-optlist-perl (0.114-1) ... Setting up libgav1-1:amd64 (0.19.0-2+b2) ... Setting up ucf (3.0043+nmu1) ... Setting up libssh2-1-dev:amd64 (1.11.1-1) ... Setting up libccolamd3:amd64 (1:7.8.3+dfsg-2) ... Setting up libreadline8t64:amd64 (8.2-5) ... Setting up dh-strip-nondeterminism (1.14.0-1) ... Setting up libwww-robotrules-perl (6.02-1) ... Setting up libsyntax-keyword-try-perl (0.30-1+b1) ... Setting up libjack-jackd2-0:amd64 (1.9.22~dfsg-3) ... Setting up libdrm2:amd64 (2.4.123-1) ... Setting up groff-base (1.23.0-5) ... Setting up libhtml-parser-perl:amd64 (3.83-1+b1) ... Setting up gpgconf (2.2.45-2) ... Setting up libharfbuzz0b:amd64 (10.0.1-1) ... Setting up libfontconfig1:amd64 (2.15.0-1.1+b1) ... Setting up libsndfile1:amd64 (1.2.2-1+b3) ... Setting up libmro-compat-perl (0.15-2) ... Setting up gfortran-14 (14.2.0-8) ... Setting up libsm6:amd64 (2:1.2.4-1) ... Setting up libfftw3-dev:amd64 (3.3.10-1+b3) ... Setting up libavahi-client3:amd64 (0.8-13+b3) ... Setting up libio-socket-ssl-perl (2.089-1) ... Setting up gpg (2.2.45-2) ... Setting up libsub-exporter-perl (0.990-1) ... Setting up libhttp-message-perl (7.00-2) ... Setting up libdrm-amdgpu1:amd64 (2.4.123-1) ... Setting up libhtml-form-perl (6.12-1) ... Setting up libiterator-perl (0.03+ds1-2) ... Setting up libgnutls28-dev:amd64 (3.8.8-2) ... Setting up libinput10:amd64 (1.26.2-1) ... Setting up libnghttp2-dev:amd64 (1.64.0-1) ... Setting up libportaudio2:amd64 (19.6.0-1.2+b3) ... Setting up libqt6core6t64:amd64 (6.7.2+dfsg-4) ... Setting up libhttp-negotiate-perl (6.01-2) ... Setting up fontconfig (2.15.0-1.1+b1) ... Regenerating fonts cache... done. Setting up libavif16:amd64 (1.1.1-1) ... Setting up libcarp-assert-more-perl (2.5.0-1) ... Setting up libcholmod5:amd64 (1:7.8.3+dfsg-2) ... Setting up libxft2:amd64 (2.3.6-1+b2) ... Setting up libfeature-compat-try-perl (0.05-1) ... Setting up libxcb1-dev:amd64 (1.17.0-2+b1) ... Setting up libiterator-util-perl (0.02+ds1-2) ... Setting up libcurl4t64:amd64 (8.11.0-1) ... Setting up libhttp-cookies-perl (6.11-1) ... Setting up libspqr4:amd64 (1:7.8.3+dfsg-2) ... Setting up libdrm-radeon1:amd64 (2.4.123-1) ... Setting up po-debconf (1.0.21+nmu1) ... Setting up libhtml-tree-perl (5.07-3) ... Setting up libxcursor1:amd64 (1:1.2.2-1+b1) ... Setting up libparams-classify-perl:amd64 (0.015-2+b4) ... Setting up libpango-1.0-0:amd64 (1.54.0+ds-3) ... Setting up libdrm-intel1:amd64 (2.4.123-1) ... Setting up libcgi-pm-perl (4.66-1) ... Setting up libx11-dev:amd64 (2:1.8.10-2) ... Setting up libcurl3t64-gnutls:amd64 (8.11.0-1) ... Setting up libjxl0.9:amd64 (0.9.2-10+b1) ... Setting up libappstream5:amd64 (1.0.3-1+b1) ... Setting up libreadline-dev:amd64 (8.2-5) ... Setting up man-db (2.13.0-1) ... Not building database; man-db/auto-update is not 'true'. Setting up gfortran-x86-64-linux-gnu (4:14.2.0-1) ... Setting up libxml-sax-perl (1.02+dfsg-4) ... update-perl-sax-parsers: Registering Perl SAX parser XML::SAX::PurePerl with priority 10... update-perl-sax-parsers: Updating overall Perl SAX parser modules info file... Creating config file /etc/perl/XML/SAX/ParserDetails.ini with new version Setting up gfortran (4:14.2.0-1) ... update-alternatives: using /usr/bin/gfortran to provide /usr/bin/f95 (f95) in auto mode update-alternatives: using /usr/bin/gfortran to provide /usr/bin/f77 (f77) in auto mode Setting up libcairo2:amd64 (1.18.2-2) ... Setting up libobject-pad-perl (0.815-1) ... Setting up tex-common (6.18) ... update-language: texlive-base not installed and configured, doing nothing! Setting up appstream (1.0.3-1+b1) ... ? Metadata cache was updated successfully. Setting up libnet-smtp-ssl-perl (1.04-2) ... Setting up libqt6xml6:amd64 (6.7.2+dfsg-4) ... Setting up libqt6sql6:amd64 (6.7.2+dfsg-4) ... Setting up libmodule-runtime-perl (0.016-2) ... Setting up libmailtools-perl (2.22-1) ... Setting up libgssrpc4t64:amd64 (1.21.3-3) ... Setting up libraqm0:amd64 (0.10.1-1+b2) ... Setting up libconfig-model-perl (2.154-1) ... Setting up librtmp-dev:amd64 (2.4+20151223.gitfa8646d.1-2+b5) ... Setting up libxml-libxml-perl (2.0207+dfsg+really+2.0134-5+b1) ... update-perl-sax-parsers: Registering Perl SAX parser XML::LibXML::SAX::Parser with priority 50... update-perl-sax-parsers: Registering Perl SAX parser XML::LibXML::SAX with priority 50... update-perl-sax-parsers: Updating overall Perl SAX parser modules info file... Replacing config file /etc/perl/XML/SAX/ParserDetails.ini with new version Setting up libumfpack6:amd64 (1:7.8.3+dfsg-2) ... Setting up libconst-fast-perl (0.014-2) ... Setting up libdata-section-perl (0.200008-1) ... Setting up libqt6core5compat6:amd64 (6.7.2-3) ... Setting up libpangoft2-1.0-0:amd64 (1.54.0+ds-3) ... Setting up libhdf5-103-1t64:amd64 (1.10.10+repack-4) ... Setting up libdata-dpath-perl (0.60-1) ... Setting up libfltk1.3t64:amd64 (1.3.8-6.1+b1) ... Setting up libcups2t64:amd64 (2.4.10-2) ... Setting up libstring-rewriteprefix-perl (0.009-1) ... Setting up libpangocairo-1.0-0:amd64 (1.54.0+ds-3) ... Setting up libqt6dbus6:amd64 (6.7.2+dfsg-4) ... Setting up libkadm5clnt-mit12:amd64 (1.21.3-3) ... Setting up libconfig-model-backend-yaml-perl (2.134-2) ... Setting up libhdf5-hl-100t64:amd64 (1.10.10+repack-4) ... Setting up mesa-libgallium:amd64 (24.2.7-1) ... Setting up libproxy1v5:amd64 (0.5.9-1) ... Setting up libkdb5-10t64:amd64 (1.21.3-3) ... Setting up libgbm1:amd64 (24.2.7-1) ... Setting up libmodule-implementation-perl (0.09-2) ... Setting up libpackage-stash-perl (0.40-1) ... Setting up libimport-into-perl (1.002005-2) ... Setting up libmoo-perl (2.005005-1) ... Setting up libhdf5-cpp-103-1t64:amd64 (1.10.10+repack-4) ... Setting up libgl1-mesa-dri:amd64 (24.2.7-1) ... Setting up liblist-someutils-perl (0.59-1) ... Setting up libhdf5-fortran-102t64:amd64 (1.10.10+repack-4) ... Setting up debhelper (13.20) ... Setting up libmime-tools-perl (5.515-1) ... Setting up libsoftware-license-perl (0.104006-1) ... Setting up libclass-load-perl (0.25-2) ... Setting up libfeature-compat-class-perl (0.07-1) ... Setting up libegl-mesa0:amd64 (24.2.7-1) ... Setting up texinfo (7.1.1-1) ... Setting up libqt6network6:amd64 (6.7.2+dfsg-4) ... Setting up libkadm5srv-mit12:amd64 (1.21.3-3) ... Setting up libegl1:amd64 (1.7.0-1+b2) ... Setting up libmoox-aliases-perl (0.001006-2) ... Setting up libhdf5-hl-cpp-100t64:amd64 (1.10.10+repack-4) ... Setting up libparams-validate-perl:amd64 (1.31-2+b3) ... Setting up libb-hooks-endofscope-perl (0.28-1) ... Setting up krb5-multidev:amd64 (1.21.3-3) ... Setting up libglx-mesa0:amd64 (24.2.7-1) ... Setting up libglx0:amd64 (1.7.0-1+b2) ... Setting up libsoftware-licensemoreutils-perl (1.009-1) ... Setting up libhdf5-hl-fortran-100t64:amd64 (1.10.10+repack-4) ... Setting up libkrb5-dev:amd64 (1.21.3-3) ... Setting up libgl1:amd64 (1.7.0-1+b2) ... Setting up libqt6gui6:amd64 (6.7.2+dfsg-4) ... Setting up libcurl4-openssl-dev:amd64 (8.11.0-1) ... Setting up libhdf5-dev (1.10.10+repack-4) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/pkgconfig/hdf5-serial.pc to provide /usr/lib/x86_64-linux-gnu/pkgconfig/hdf5.pc (hdf5.pc) in auto mode Setting up libnamespace-clean-perl (0.27-2) ... Setting up libstring-license-perl (0.0.11-1) ... Setting up libgetopt-long-descriptive-perl (0.115-1) ... Setting up libglx-dev:amd64 (1.7.0-1+b2) ... Setting up libgl-dev:amd64 (1.7.0-1+b2) ... Setting up licensecheck (3.3.9-1) ... Setting up libapp-cmd-perl (0.336-1) ... Setting up libqt6opengl6:amd64 (6.7.2+dfsg-4) ... Setting up libgl2ps1.4 (1.4.2+dfsg1-2) ... Setting up libqt6widgets6:amd64 (6.7.2+dfsg-4) ... Setting up libfltk-gl1.3t64:amd64 (1.3.8-6.1+b1) ... Setting up cme (1.040-1) ... Setting up libqt6openglwidgets6:amd64 (6.7.2+dfsg-4) ... Setting up libqt6printsupport6:amd64 (6.7.2+dfsg-4) ... Setting up libqt6help6:amd64 (6.7.2-6) ... Setting up libqscintilla2-qt6-15:amd64 (2.14.1+dfsg-1+b4) ... Setting up libheif-plugin-dav1d:amd64 (1.19.3-1) ... Setting up liblwp-protocol-https-perl (6.14-1) ... Setting up libheif-plugin-libde265:amd64 (1.19.3-1) ... Setting up libwww-perl (6.77-1) ... Setting up libheif1:amd64 (1.19.3-1) ... Setting up libparse-debcontrol-perl (2.005-6) ... Setting up libhtml-tokeparser-simple-perl (3.16-4) ... Setting up libwww-mechanize-perl (2.19-1) ... Setting up libgd3:amd64 (2.3.3-12+b1) ... Setting up gnuplot-nox (6.0.0+dfsg1-3) ... update-alternatives: using /usr/bin/gnuplot-nox to provide /usr/bin/gnuplot (gnuplot) in auto mode Setting up libgraphicsmagick-q16-3t64 (1.4+really1.3.45-1+b1) ... Setting up lintian (2.120.0) ... Setting up libgraphicsmagick++-q16-12t64 (1.4+really1.3.45-1+b1) ... Setting up libconfig-model-dpkg-perl (3.005) ... Setting up dh-octave-autopkgtest (1.8.0) ... Setting up octave (9.2.0-3+b1) ... Setting up octave-dev (9.2.0-3+b1) ... Setting up dh-octave (1.8.0) ... Processing triggers for libc-bin (2.40-3) ... Processing triggers for ca-certificates (20240203) ... Updating certificates in /etc/ssl/certs... 0 added, 0 removed; done. Running hooks in /etc/ca-certificates/update.d... done. Reading package lists... Building dependency tree... Reading state information... Reading extended state information... Initializing package states... Writing extended state information... Building tag database... -> Finished parsing the build-deps I: Building the package I: user script /srv/workspace/pbuilder/3994332/tmp/hooks/A99_set_merged_usr starting Not re-configuring usrmerge for trixie I: user script /srv/workspace/pbuilder/3994332/tmp/hooks/A99_set_merged_usr finished hostname: Name or service not known I: Running cd /build/reproducible-path/octave-stk-2.8.1/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-genchanges -S > ../octave-stk_2.8.1-3_source.changes dpkg-buildpackage: info: source package octave-stk dpkg-buildpackage: info: source version 2.8.1-3 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Rafael Laboissière dpkg-source --before-build . dpkg-buildpackage: info: host architecture amd64 debian/rules clean dh clean --buildsystem=octave dh_auto_clean -O--buildsystem=octave dh_octave_clean make[1]: Entering directory '/build/reproducible-path/octave-stk-2.8.1' make[1]: *** No rule to make target 'clean'. make[1]: *** No rule to make target 'distclean'. make[1]: Leaving directory '/build/reproducible-path/octave-stk-2.8.1' make[1]: Entering directory '/build/reproducible-path/octave-stk-2.8.1/src' rm -f *.o *.mex make[1]: *** No rule to make target 'distclean'. make[1]: Leaving directory '/build/reproducible-path/octave-stk-2.8.1/src' dh_autoreconf_clean -O--buildsystem=octave dh_clean -O--buildsystem=octave debian/rules binary dh binary --buildsystem=octave dh_update_autotools_config -O--buildsystem=octave dh_autoreconf -O--buildsystem=octave dh_octave_version -O--buildsystem=octave Checking the Octave version... ok dh_auto_configure -O--buildsystem=octave dh_auto_build -O--buildsystem=octave dh_auto_test -O--buildsystem=octave create-stamp debian/debhelper-build-stamp dh_testroot -O--buildsystem=octave dh_prep -O--buildsystem=octave dh_auto_install --destdir=debian/octave-stk/ -O--buildsystem=octave octave --no-gui --no-history --silent --no-init-file --no-window-system /usr/share/dh-octave/install-pkg.m /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/lib/x86_64-linux-gnu/octave/packages make[1]: Entering directory '/build/reproducible-path/octave-stk-2.8.1/src' /usr/bin/mkoctfile --verbose --mex --output __stk_dist_pairwise__.mex stk_dist_pairwise.c /usr/bin/mkoctfile --verbose --mex --output __get_column_number__.mex get_column_number.c /usr/bin/mkoctfile --verbose --mex --output __stk_dist_matrixy__.mex stk_dist_matrixy.c /usr/bin/mkoctfile --verbose --mex --output __stk_filldist_discr_mex__.mex stk_filldist_discr_mex.c /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_matrixy__.mex stk_gpquadform_matrixy.c /usr/bin/mkoctfile --verbose --mex --output __stk_isdominated_mex__.mex stk_isdominated_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dist_pairwise.c -o /tmp/oct-rmaJ0S.o /usr/bin/mkoctfile --verbose --mex --output __stk_mindist_mex__.mex stk_mindist_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dist_matrixy.c -o /tmp/oct-vj1O0D.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_filldist_discr_mex.c -o /tmp/oct-OuptEE.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG get_column_number.c -o /tmp/oct-0E6PpF.o /usr/bin/mkoctfile --verbose --mex --output __stk_dist_matrixx__.mex stk_dist_matrixx.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_gpquadform_matrixy.c -o /tmp/oct-zrdNr3.o /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_matrixx__.mex stk_gpquadform_matrixx.c /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_pairwise__.mex stk_gpquadform_pairwise.c /usr/bin/mkoctfile --verbose --mex --output __stk_paretofind_mex__.mex stk_paretofind_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_mindist_mex.c -o /tmp/oct-Eo7Mh3.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dist_matrixx.c -o /tmp/oct-QHh0FE.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_isdominated_mex.c -o /tmp/oct-RIueqS.o /usr/bin/mkoctfile --verbose --mex --output __stk_sampling_vdc_rr2__.mex stk_sampling_vdc_rr2.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_gpquadform_pairwise.c -o /tmp/oct-pM8wGU.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_gpquadform_matrixx.c -o /tmp/oct-WwyWdA.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_paretofind_mex.c -o /tmp/oct-rfkFHP.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_sampling_vdc_rr2.c -o /tmp/oct-B0LiDr.o g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dist_matrixy__.mex /tmp/oct-vj1O0D.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dist_pairwise__.mex /tmp/oct-rmaJ0S.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_gpquadform_pairwise__.mex /tmp/oct-pM8wGU.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_filldist_discr_mex__.mex /tmp/oct-OuptEE.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_gpquadform_matrixy__.mex /tmp/oct-zrdNr3.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_gpquadform_matrixx__.mex /tmp/oct-WwyWdA.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __get_column_number__.mex /tmp/oct-0E6PpF.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro /usr/bin/mkoctfile --verbose --mex --output __stk_sampling_sobol_mex__.mex stk_sampling_sobol_mex.c g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_mindist_mex__.mex /tmp/oct-Eo7Mh3.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_sampling_sobol_mex.c -o /tmp/oct-0lTnDq.o /usr/bin/mkoctfile --verbose --mex --output __stk_distrib_bivnorm0_cdf__.mex stk_distrib_bivnorm0_cdf.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_distrib_bivnorm0_cdf.c -o /tmp/oct-S4MgSv.o /usr/bin/mkoctfile --verbose --mex --output __stk_dominatedhv_mex__.mex stk_dominatedhv_mex.c wfg.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dominatedhv_mex.c -o /tmp/oct-0ak1Df.o g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_isdominated_mex__.mex /tmp/oct-RIueqS.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dist_matrixx__.mex /tmp/oct-QHh0FE.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_sampling_vdc_rr2__.mex /tmp/oct-B0LiDr.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_paretofind_mex__.mex /tmp/oct-rfkFHP.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG wfg.c -o /tmp/oct-CeAcW9.o g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_sampling_sobol_mex__.mex /tmp/oct-0lTnDq.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_distrib_bivnorm0_cdf__.mex /tmp/oct-S4MgSv.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dominatedhv_mex__.mex /tmp/oct-0ak1Df.o /tmp/oct-CeAcW9.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro make[1]: Leaving directory '/build/reproducible-path/octave-stk-2.8.1/src' copyfile /build/reproducible-path/octave-stk-2.8.1/./src/__get_column_number__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_dist_matrixx__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_dist_matrixy__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_dist_pairwise__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_distrib_bivnorm0_cdf__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_dominatedhv_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_filldist_discr_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_gpquadform_matrixx__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_gpquadform_matrixy__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_gpquadform_pairwise__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_isdominated_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_mindist_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_paretofind_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_sampling_sobol_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_sampling_vdc_rr2__.mex /build/reproducible-path/octave-stk-2.8.1/./inst/x86_64-pc-linux-gnu-api-v59 For information about changes from previous versions of the stk package, run 'news stk'. rm: cannot remove '/build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/doc': Is a directory dh_octave_check -O--buildsystem=octave Checking package... Run the unit tests... Checking m files ... [inst/sampling/@stk_sampcrit_akg/stk_sampcrit_akg.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_sampcrit_akg/stk_sampcrit_akg.m ***** shared F, M, AKG M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); warning: Something went wrong during the optimization crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt ***** test F = stk_sampcrit_akg () % ending ";" omitted on purpose, to test disp F = | | model: -- (not instantiated) | reference_grid: -- (use current evaluation points) | ***** assert (isempty (F.model)) ***** assert (isempty (get (F, 'model'))) ***** assert (isempty (F.reference_grid)) ***** assert (isempty (get (F, 'reference_grid'))) ***** error F.toto ***** error get (F, 'toto') ***** error F.toto = 1.234; % field does not exist ***** error F = set (F, 'toto', 1.234); % field does not exist ***** error AKG = feval (F, 1.0); ***** test F = stk_sampcrit_akg (); F.model = M; assert (isequal (F.model, M)); ***** test F = stk_sampcrit_akg (); F = set (F, 'model', M); assert (isequal (F.model, M)); assert (isequal (size (F.zr_mean), [3 1])) % n x 1 assert (isequal (size (F.zr_std), [3 1])) % n x 1 assert (isequal (size (F.zr_lambdamu), [4 3])) % (n+1) x n (constant mean) ***** test F.model = []; % remove model assert (isempty (F.model)); assert (isempty (F.zr_mean)) assert (isempty (F.zr_std)) assert (isempty (F.zr_lambdamu)) ***** test xr = [1 1.5 2 2.5 3]'; F.reference_grid = xr % ending ";" omitted on purpose, to test disp assert (isequal (F.reference_grid, xr)) assert (isempty (F.zr_mean)) assert (isempty (F.zr_std)) assert (isempty (F.zr_lambdamu)) F = | | model: -- (not instantiated) | reference_grid: <5x1 double array> | ***** test F.reference_grid = []; assert (isempty (F.reference_grid)) ***** test F = stk_sampcrit_akg (); F.model = M; assert (isequal (F.model, M)); xr = [1 1.5 2 2.5 3]'; F.reference_grid = xr % ending ";" omitted on purpose, to test disp assert (isequal (F.reference_grid, xr)) assert (isequal (size (F.zr_mean), [5 1])) % nr x 1 assert (isequal (size (F.zr_std), [5 1])) % nr x 1 assert (isequal (size (F.zr_lambdamu), [4 5])) % (n+1) x nr (constant mean) F = | | model: | reference_grid: <5x1 double array> | ***** test F.reference_grid = []; assert (isempty (F.reference_grid)) ***** test F = stk_sampcrit_akg (M) % ending ";" omitted on purpose, to test disp F = | | model: | reference_grid: -- (use current evaluation points) | ***** assert (isequal (F.model, M)) ***** test AKG = feval (F, [1.0; 1.1; 1.2]); ***** assert (isequal (size (AKG), [3 1])) ***** assert (all (AKG >= 0)) ***** test [AKG2, zp] = feval (F, [1.0; 1.1; 1.2]); assert (isequal (AKG2, AKG)); assert (isa (zp, 'stk_dataframe') && isequal (size (zp), [3 2])) ***** shared F, xr xr = [1 1.5 2 2.5 3]'; ***** test F = stk_sampcrit_akg (stk_model ()); ***** assert (isempty (F.reference_grid)) ***** test F.reference_grid = xr; ***** assert (isequal (F.reference_grid, xr)) ***** assert (isempty (F.zr_mean)) ***** assert (isempty (F.zr_std)) ***** assert (isempty (F.zr_lambdamu)) ***** error AKG = feval (F, 1.0); ***** shared F, M, xr xr = [1 1.5 2 2.5 3]'; M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); warning: Something went wrong during the optimization crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt ***** test F = stk_sampcrit_akg (M, xr); ***** assert (isequal (F.model, M)) ***** assert (isequal (F.reference_grid, xr)) ***** assert (isequal (size (F.zr_mean), [5 1])) % nr x 1 ***** assert (isequal (size (F.zr_std), [5 1])) % nr x 1 ***** assert (isequal (size (F.zr_lambdamu), [4 5])) % (n+1) x nr (constant mean) 37 tests, 37 passed, 0 known failure, 0 skipped [inst/sampling/@stk_function/stk_function.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_function/stk_function.m ***** shared F ***** test F = stk_function () % ending ";" omitted on purpose, to test disp F = ***** error [F F]; % arrays of sampling criterion objects are not supported ***** error [F; F]; % idem ***** error get (F, 'toto'); % field does not exist ***** error y = feval (F, 1.0); % not implemented for "pure" function objects ***** error dummy = F{2}; % illegal indexing ***** error dummy = F(1.0); % feval not implemented ***** error dummy = F.toto; % field does not exist ***** error F{2} = 1.234; % illegal indexing ***** error F(5) = 1.234; % illegal indexing ***** error F.toto = 1.234; % field does not exist 11 tests, 11 passed, 0 known failure, 0 skipped [inst/sampling/stk_halfpintl.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_halfpintl.m ***** test % case #1 a = 1; b = 1; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (a_out == 1) assert (b_out == 1) assert (isempty (z_out)) ***** test % case #2: two lines, slopes not equal, already sorted a = [1; -1]; b = [0; 2]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #3: same as #2, but not sorted a = [-1; 1]; b = [ 2; 0]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #4: two lines, equal slopes, already sorted a = [0; 0]; b = [1; 2]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (a_out == 0) assert (b_out == 1) assert (isempty (z_out)) ***** test % case #5: same as #4, but not sorted a = [0; 0]; b = [2; 1]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (a_out == 0) assert (b_out == 1) assert (isempty (z_out)) ***** test % case #6: add a dominated line to #2 (the result does not change) a = [1; -1; 0]; b = [0; 2; 1]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #7: permutation of #6 a = [1; 0; -1]; b = [0; 1; 2]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #8: another permutation of #6 a = [0; 1; -1]; b = [1; 0; 2]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #9: same as #8, with some duplicated lines added a = [0; 1; 0; -1; 0; -1; 1]; b = [1; 0; 1; 2; 1; 2; 0]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) 9 tests, 9 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_vdc_rr2.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_vdc_rr2.m ***** error __stk_sampling_vdc_rr2__() % two inputs required ***** error __stk_sampling_vdc_rr2__(10) % two inputs required ***** error __stk_sampling_vdc_rr2__(10, 3, -1) % two inputs required ***** test n = 300; j = 25; x = __stk_sampling_vdc_rr2__(n, j); assert(isequal(size(x), [n 1])) ***** test x = __stk_sampling_vdc_rr2__(2000, 7); y = double (x(1998:2000, :)); yref = [0.849786281294525; 0.085080398941584; 0.555668634235701]; assert(stk_isequal_tolrel(y, yref, 1e-13)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_olhs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_olhs.m ***** shared x, n, d, box, permut n = 5; d = 2; box = [0 0; 1, 1]; permut = 1:2; ***** error x = stk_sampling_olhs(); ***** test x = stk_sampling_olhs(n); ***** test x = stk_sampling_olhs(n, d); ***** test x = stk_sampling_olhs(n, d, box); ***** test x = stk_sampling_olhs(n, d, box, permut); ***** error x = stk_sampling_olhs(n, d, box, permut, pi); ***** assert (isa (x, 'stk_dataframe')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_olhs (n, d, box); assert (isequal (x.colnames, cn)); ***** test for r = 1:5 n = 2 ^ (r + 1) + 1; d = 2 * r; x = stk_sampling_olhs (n, d); assert (isequal (size (x), [n d])); box = repmat ([-1; 1], 1, d); assert (stk_is_lhs (x, n, d, box)); x = double (x); w = x' * x; assert (stk_isequal_tolabs (w / w(1,1), eye (d))); end 10 tests, 10 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_maximinlhs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_maximinlhs.m ***** shared x, n, dim, box, niter n = 20; dim = 2; box = [0, 0; 1, 1]; niter = 1; ***** error x = stk_sampling_maximinlhs (); ***** test x = stk_sampling_maximinlhs (n); ***** test x = stk_sampling_maximinlhs (n, dim); ***** test x = stk_sampling_maximinlhs (n, dim, box); ***** test x = stk_sampling_maximinlhs (n, dim, box, niter); ***** assert (isa (x, 'stk_dataframe')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_maximinlhs (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:5, x = stk_sampling_randomlhs (n, dim); assert (isequal (size (x), [n dim])); u = double (x); u = u(:); assert (~ any (isnan (u) | isinf (u))); assert ((min (u) >= 0) && (max (u) <= 1)); assert (stk_is_lhs (x, n, dim)); end 9 tests, 9 passed, 0 known failure, 0 skipped [inst/sampling/@stk_sampcrit_ei/stk_sampcrit_ei.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_sampcrit_ei/stk_sampcrit_ei.m ***** shared F, M, EI M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); warning: Something went wrong during the optimization crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt ***** test F = stk_sampcrit_ei () % ending ";" omitted on purpose, to test disp F = | | model: -- (not instantiated) | current_minimum: Inf | ***** assert (isempty (F.model)) ***** assert (isempty (get (F, 'model'))) ***** assert (F.current_minimum == +inf) ***** assert (get (F, 'current_minimum') == +inf) ***** error F.toto ***** error get (F, 'toto') ***** error F.current_min = 1.234; % read-only ***** error F = set (F, 'current_min', 1.234); % read-only ***** error F.toto = 1.234; % field does not exist ***** error F = set (F, 'toto', 1.234); % field does not exist ***** error EI = feval (F, 1.0); ***** test F = stk_sampcrit_ei (); F.model = M; assert (~ isempty (F.model)); ***** test F = stk_sampcrit_ei (); F = set (F, 'model', M); assert (~ isempty (F.model)); ***** test F.model = []; % remove model assert (isempty (F.model)); assert (F.current_minimum == +inf); ***** test F = stk_sampcrit_ei (M) % ending ";" omitted on purpose, to test disp F = | | model: | current_minimum: 1.234 | ***** assert (isequal (F.model, M)) ***** assert (F.current_minimum == 1.234); ***** test EI = feval (F, [1.0; 1.1; 1.2]); ***** assert (isequal (size (EI), [3 1])) ***** assert (all (EI >= 0)) ***** shared F ***** test F = stk_sampcrit_ei (stk_model ()); ***** assert (F.current_minimum == +inf); ***** error feval (F, 1.0); 24 tests, 24 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampcrit_ei_eval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampcrit_ei_eval.m ***** error EI = stk_sampcrit_ei_eval () % not enough args ***** error EI = stk_sampcrit_ei_eval (0) % not enough args ***** shared xi, zi, M_prior, xt, zp, EIref, EI1, EI2, EI3 xi = [0; 0.2; 0.7; 0.9]; zi = [1; 0.9; 0.6; 0.1]; M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); xt = stk_sampling_regulargrid (20, 1, [0; 1]); zp = stk_predict (M_prior, xi, zi, xt); EIref = stk_distrib_normal_ei (min (zi), zp.mean, sqrt (zp.var), true); ***** test % Current syntax (STK 2.4.1 and later) EI1 = stk_sampcrit_ei_eval (zp.mean, sqrt (zp.var), min (zi)); ***** assert (isequal (EI1, EIref)) 4 tests, 4 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_nesteddesign.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_nesteddesign.m ***** shared x, n, dim, box, niter, levels n = [23; 14; 5; 2]; dim = 2; box = [0, 0; 4, 4]; niter = 10; levels = [10.1; 15.2; -9.3; 2.4; 17.5]; ***** error x = stk_sampling_nesteddesign (); ***** test x = stk_sampling_nesteddesign (n); ***** test x = stk_sampling_nesteddesign (n, dim); ***** test x = stk_sampling_nesteddesign (n, dim, box); ***** test x = stk_sampling_nesteddesign (n, dim, box, niter); ***** test x = stk_sampling_nesteddesign (n, dim, box, niter, levels); ***** assert ( isequal(size(x), [sum(n), dim + 1]) ); ***** assert ( isa(x, 'stk_dataframe') ); cn = [0; cumsum(n)]; for lev = 1:length(n), y = x( (cn(lev) + 1):(cn(lev + 1)), 1:dim ); assert (isequal (size (y), [n(lev) dim])); if lev > 1 assert ( isequal(z((end - n(lev) + 1):end, :), y) ); end if lev == length(n) assert (stk_is_lhs (y, n(lev), dim, box)); end z = y; end ***** assert (isequal (x.colnames{dim + 1}, 'Level')); levels = stk_dataframe(levels, {'t'}); box = stk_hrect(box, {'x1', 'x2', 'x3', 'x4'}); ***** test x = stk_sampling_nesteddesign (n, [], box, [], levels); ***** assert (isequal(x.colnames, {'x1', 'x2', 'x3', 'x4', 't'}) ); 11 tests, 11 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampcrit_akg_eval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampcrit_akg_eval.m ***** shared zc_mean, zc_std, zr_mean, zr_std, zcr_cov, AKG, nc xi = [0; 0.2; 0.7; 0.9]; zi = [1; 0.9; 0.6; 0.1] - 10; ni = 4; M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); M_prior.lognoisevariance = 0.678; nc = 20; xc = stk_sampling_regulargrid (nc, 1, [0; 1]); [zp, ~, ~, K] = stk_predict (M_prior, xi, zi, [xi; xc]); ir = 1:ni; ic = ni + (1:nc); zc_mean = zp.mean(ic); zc_std = sqrt (zp.var(ic)); % reference grid: current evaluation points ("KGCP") zr_mean = zp.mean(ir); zr_std = sqrt (zp.var(ir)); zcr_cov = K(ic, ir); ***** test AKG = stk_sampcrit_akg_eval (zc_mean, zc_std, zr_mean, zr_std, zcr_cov); ***** assert (isequal (size (AKG), [nc 1])) ***** assert (all (AKG >= 0)) ***** error AKG = stk_sampcrit_akg_eval (zc_mean, zc_std, zr_mean, zr_std); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/sampling/@stk_sampcrit_eqi/stk_sampcrit_eqi.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_sampcrit_eqi/stk_sampcrit_eqi.m ***** shared F, M, EQI M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); warning: Something went wrong during the optimization crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt ***** test F = stk_sampcrit_eqi () % ending ";" omitted on purpose, to test disp F = | | model: -- (not instantiated) | quantile_order: 0.5 | point_batch_size: 1 | current_minimum: Inf | ***** assert (isempty (F.model)) ***** assert (isempty (get (F, 'model'))) ***** assert (F.quantile_order == 0.5) ***** assert (get (F, 'quantile_order') == 0.5) ***** assert (F.current_minimum == +inf) ***** assert (get (F, 'current_minimum') == +inf) ***** error F.toto ***** error get (F, 'toto') ***** error F.current_min = 1.234; % read-only ***** error F = set (F, 'current_min', 1.234); % read-only ***** error F.toto = 1.234; % field does not exist ***** error F = set (F, 'toto', 1.234); % field does not exist ***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) ***** test F = set (F, 'quantile_order', 0.8); assert (F.quantile_order == 0.8) ***** error F.quantile_order = 1.1; ***** error F.quantile_order = -0.1; ***** error F.quantile_order = [1 2]; ***** error F.current_minimum = 3.333; % read-only ***** error F.quantile_value = 2.222; % read-only ***** error EQI = feval (F, 1.0); ***** test F = stk_sampcrit_eqi (); F.model = M; assert (~ isempty (F.model)); ***** test F = stk_sampcrit_eqi (); F = set (F, 'model', M); assert (~ isempty (F.model)); ***** test F.model = []; % remove model assert (isempty (F.model)); assert (F.current_minimum == +inf); ***** test F = stk_sampcrit_eqi (M) % ending ";" omitted on purpose, to test disp F = | | model: | quantile_order: 0.5 | point_batch_size: 1 | current_minimum: 1.234 | ***** assert (isequal (F.model, M)) ***** assert (stk_isequal_tolrel (F.current_minimum, 1.234, 10 * eps)); ***** test EQI = feval (F, [1.0; 1.1; 1.2]); ***** assert (isequal (size (EQI), [3 1])) ***** assert (all (EQI >= 0)) ***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) ***** shared F, M, EQI prior_model = stk_model (); prior_model.lognoisevariance = 0.678; M = stk_model_gpposterior (prior_model, [1 2 3]', [1.234 3 2]'); ***** test F = stk_sampcrit_eqi (M); ***** assert (isequal (F.model, M)) ***** assert (stk_isequal_tolrel (F.current_minimum, 2.077997, 1e-5)); ***** test EQI = feval (F, [1.0; 1.1; 1.2]); ***** assert (isequal (size (EQI), [3 1])) ***** assert (all (EQI >= 0)) ***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) ***** shared F ***** test F = stk_sampcrit_eqi (stk_model ()); ***** assert (F.current_minimum == +inf); ***** error feval (F, 1.0); ***** shared F, M M = stk_model_gpposterior (stk_model (), [1 2 3]', [1.234 3 2]'); warning: Something went wrong during the optimization crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt ***** error F = stk_sampcrit_eqi (M, [], 0); ***** error F = stk_sampcrit_eqi (M, [], 1.5); ***** error F = stk_sampcrit_eqi (M, [], nan); ***** error F = stk_sampcrit_eqi (M, [], [10 20]); ***** test F = stk_sampcrit_eqi (M, [], 10); ***** assert (isequal (F.quantile_order, 0.5)); ***** assert (isequal (F.point_batch_size, 10)); ***** error F = stk_sampcrit_eqi (M, 0.8, 0); ***** error F = stk_sampcrit_eqi (M, 0.8, 1.5); ***** error F = stk_sampcrit_eqi (M, 0.8, nan); ***** error F = stk_sampcrit_eqi (M, 0.8, [10 20]); ***** test F = stk_sampcrit_eqi (M, 0.8, 5); ***** assert (isequal (F.quantile_order, 0.8)); ***** assert (isequal (F.point_batch_size, 5)); ***** shared F, M, EQI prior_model = stk_model (); prior_model.lognoisevariance = 0.678; M = stk_model_gpposterior (prior_model, [1 2 3]', [1.234 3 2]'); F = stk_sampcrit_eqi (M); ***** test F.point_batch_size = 10; % numeric ***** assert (isequal (F.point_batch_size, 10)) ***** test EQI = feval (F, [1.0; 1.1; 1.2]); ***** test F.point_batch_size = @(x, n) 100 - n; % function handle ***** assert (isa (F.point_batch_size, 'function_handle')) ***** test EQI = feval (F, [1.0; 1.1; 1.2]); ***** test F.point_batch_size = 'sin'; % char ***** assert (isa (F.point_batch_size, 'function_handle')) 63 tests, 63 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_halton_rr2.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_halton_rr2.m ***** error stk_sampling_halton_rr2 () % nargin < 1 ***** test n = 300; d = 25; x = stk_sampling_halton_rr2 (n, d); assert (isequal (size (x), [n d])) ***** test x = stk_sampling_halton_rr2 (1000, 3); y = double (x(end, :)); yref = [0.9052734375 0.028349336991312 0.74848]; assert (stk_isequal_tolrel (y, yref, 1e-13)); ***** test dim = 2; box = stk_hrect (dim); x = stk_sampling_halton_rr2 (5, dim, box); assert (isequal (x.colnames, {})); ***** test dim = 2; cn = {'W', 'H'}; box = stk_hrect (dim, cn); x = stk_sampling_halton_rr2 (5, dim, box); assert (isequal (x.colnames, cn)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_nestedlhs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_nestedlhs.m ***** shared x, n, dim, box, niter, levels n = [48; 12; 4; 2]; dim = 2; box = [0, 0; 4, 4]; niter = 10; levels = [10.1; 15.2; -9.3; 2.4; 17.5]; ***** error x = stk_sampling_nestedlhs (); ***** test x = stk_sampling_nestedlhs (n); ***** test x = stk_sampling_nestedlhs (n, dim); ***** test x = stk_sampling_nestedlhs (n, dim, box); ***** test x = stk_sampling_nestedlhs (n, dim, box, niter); ***** test x = stk_sampling_nestedlhs (n, dim, box, niter, levels); ***** assert ( isequal(size(x), [sum(n), dim + 1]) ); ***** assert ( isa(x, 'stk_dataframe') ); cn = [0; cumsum(n)]; for lev = 1:length(n), y = x( (cn(lev) + 1):(cn(lev + 1)), 1:dim ); assert (isequal (size (y), [n(lev) dim])); assert (stk_is_lhs (y, n(lev), dim, box)); if lev > 1 assert ( isequal(z((end - n(lev) + 1):end, :), y) ); end z = y; end ***** assert (isequal (x.colnames{dim + 1}, 'Level')); levels = stk_dataframe(levels, {'t'}); box = stk_hrect(box, {'x1', 'x2', 'x3', 'x4'}); ***** test x = stk_sampling_nestedlhs (n, [], box, [], levels); ***** assert (isequal(x.colnames, {'x1', 'x2', 'x3', 'x4', 't'}) ); 11 tests, 11 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_randunif.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_randunif.m ***** shared x, n, dim, box n = 10; dim = 2; box = [0, 0; 2, 2]; ***** error x = stk_sampling_randunif (); ***** test x = stk_sampling_randunif (n); ***** test x = stk_sampling_randunif (n, dim); ***** test x = stk_sampling_randunif (n, dim, box); ***** assert (isa(x, 'stk_dataframe')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_randunif (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:5, x = stk_sampling_randunif(n, dim); assert(isequal(size(x), [n dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); end 8 tests, 8 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_randomlhs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_randomlhs.m ***** shared x, n, dim, box n = 10; dim = 2; box = [0, 0; 1, 1]; ***** error x = stk_sampling_randomlhs (); ***** test x = stk_sampling_randomlhs (n); ***** test x = stk_sampling_randomlhs (n, dim); ***** test x = stk_sampling_randomlhs (n, dim, box); ***** assert (isa(x, 'stk_dataframe')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_randomlhs (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:5, x = stk_sampling_randomlhs(n, dim); assert(isequal(size(x), [n dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); assert(stk_is_lhs(x, n, dim)); end 8 tests, 8 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_regulargrid.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_regulargrid.m ***** shared x, n, dim, box n = 9; dim = 2; box = [0, 0; 1, 1]; ***** error x = stk_sampling_regulargrid (); ***** test x = stk_sampling_regulargrid (n); ***** test x = stk_sampling_regulargrid (n, dim); ***** test x = stk_sampling_regulargrid (n, dim, box); ***** assert (isa (x, 'stk_dataframe')); ***** assert (isa (x, 'stk_factorialdesign')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_regulargrid (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:3, n = 3^dim; x = stk_sampling_regulargrid(n, dim); assert(isequal(size(x), [n dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); end ***** test nn = [3 4 5]; for dim = 1:3, x = stk_sampling_regulargrid(nn(1:dim), dim); assert(isequal(size(x), [prod(nn(1:dim)) dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); end 10 tests, 10 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampcrit_ehvi_eval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampcrit_ehvi_eval.m ***** shared zr, zi zr = [1 1]; zi = [0.25 0.75; 0.5 0.5; 0.75 0.25]; ***** test % no improvement (1 computation) zp_mean = [0.6 0.6]; zp_std = [0 0]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, 0, 1e-12)); ***** test % guaranteed improvement (1 computation) zp_mean = [0 0]; zp_std = [0 0]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, 10 * 0.25 ^ 2)); ***** test % no improvement again (2 computations) zp_mean = [0.5 0.5; 0.6 0.6]; zp_std = [0 0; 0 0]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, [0; 0], 1e-12)); ***** test % no observation -> EHVI wrt zr zp_mean = [0.6 0.6]; zp_std = 0.01 * [1 1]; zi = []; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, (1 - 0.6)^2, 1e-12)); ***** test % no observation below zr -> EHVI wrt zr zp_mean = [0.6 0.6]; zp_std = 0.01 * [1 1]; zi = [2 2]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, (1 - 0.6)^2, 1e-12)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_affine/stk_lm_affine.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_affine/stk_lm_affine.m ***** test stk_test_class ('stk_lm_affine') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_affine/feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_affine/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_affine (), x); assert (isequal (size (P), [n, d + 1])); 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_null/feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_null/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_null (), x); assert (isequal (size (P), [n, 0])); 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_null/stk_lm_null.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_null/stk_lm_null.m ***** test stk_test_class ('stk_lm_null') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_cubic/stk_lm_cubic.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_cubic/stk_lm_cubic.m ***** test stk_test_class ('stk_lm_cubic') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_cubic/feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_cubic/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_cubic (), x); assert (isequal (size (P), [n, 1 + d * (11 + d * (6 + d)) / 6])) 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/stk_lm_polynomial.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/stk_lm_polynomial.m ***** error lm = stk_lm_polynomial (); ***** test lm = stk_lm_polynomial (-1); assert (isa (lm, 'stk_lm_null')); ***** test lm = stk_lm_polynomial (0); assert (isa (lm, 'stk_lm_constant')); ***** test lm = stk_lm_polynomial (1); assert (isa (lm, 'stk_lm_affine')); ***** test lm = stk_lm_polynomial (2); assert (isa (lm, 'stk_lm_quadratic')); ***** test lm = stk_lm_polynomial (3); assert (isa (lm, 'stk_lm_cubic')); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_constant/stk_lm_constant.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_constant/stk_lm_constant.m ***** test stk_test_class ('stk_lm_constant') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_constant/feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_constant/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_constant (), x); assert (isequal (size (P), [n, 1])); 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_matrix/stk_lm_matrix.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_matrix/stk_lm_matrix.m ***** test stk_test_class ('stk_lm_matrix') ***** test %%% dim 1 data = rand (10, 1); idx = 3:7; lm = stk_lm_matrix (data); assert (isa (lm, 'stk_lm_matrix')); assert (isequal (data(idx, :), feval (lm, idx))); ***** test %%% dim 3 data = rand (10, 3); idx = 3:7; lm = stk_lm_matrix (data); assert (isa (lm, 'stk_lm_matrix')); assert (isequal (data(idx, :), feval (lm, idx))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_quadratic/feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_quadratic/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_quadratic (), x); assert (isequal (size (P), [n, 1 + d * (d + 3) / 2])); 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_quadratic/stk_lm_quadratic.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_quadratic/stk_lm_quadratic.m ***** test stk_test_class ('stk_lm_quadratic') 1 test, 1 passed, 0 known failure, 0 skipped [inst/model/noise/@stk_gaussiannoise_het0/set.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/noise/@stk_gaussiannoise_het0/set.m ***** shared M_post x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error value = get (M_post, 1.33); ***** error value = get (M_post, 'dudule'); ***** test value = get (M_post, 'prior_model'); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/stk_model_update.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_model_update.m ***** shared x_obs, z_obs, ref, M_prior, x_new, z_new, lnv_new [x_obs, z_obs, ref] = stk_dataset_twobumps ('noisy2'); M_prior = stk_model (@stk_materncov52_iso); M_prior.param = [-0.15; 0.38]; M_prior.lognoisevariance = 2 * log (ref.noise_std); x_new = [-0.79; -0.79]; z_new = [-0.69; -0.85]; lnv_new = ref.noise_std_func (x_new); ***** test % heteroscedastic M_prior.lognoisevariance = 2 * log (ref.noise_std); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); M_post = stk_model_update (M_post, x_new, z_new, lnv_new); ***** error % using lnv_new / homoscedastic M_prior.lognoisevariance = 0; M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); M_post = stk_model_update (M_post, x_new, z_new, lnv_new); % NOT OK ***** error % using lnv_new / noiseless M_prior.lognoisevariance = -inf; M_post = stk_model_gpposterior (M_prior, x_obs, z_obs) M_post = stk_model_update (M_post, x_new, z_new, lnv_new); % NOT OK ***** error % not using lnv_new / heteroscedastic M_prior.lognoisevariance = 2 * log (ref.noise_std); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); M_post = stk_model_update (M_post, x_new, z_new); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/stk_model_gpposterior.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_model_gpposterior.m ***** test stk_test_class ('stk_model_gpposterior') ***** shared M_prior, x_obs, z_obs x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); ***** test M_post = stk_model_gpposterior (); ***** test M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error M_post = stk_model_gpposterior (M_prior, x_obs, [z_obs; z_obs]); ***** error M_post = stk_model_gpposterior (M_prior, x_obs, [z_obs; z_obs], 3.441); ***** test % hidden feature kreq = stk_kreq_qr (M_prior, x_obs); M_post = stk_model_gpposterior (M_prior, {x_obs, kreq}, z_obs); ***** test % NaNs in prior_model.param DIM = 1; M = stk_model (@stk_materncov52_aniso, DIM); M.param = nan (2, 1); % this is currently the default x = stk_sampling_regulargrid (20, DIM, [0; 1]); y = sin (double (x)); zp = stk_predict (M, x, y, x); 7 tests, 7 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/get.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/get.m ***** shared M_post x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error value = get (M_post, 1.33); ***** error value = get (M_post, 'dudule'); ***** test value = get (M_post, 'prior_model'); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/stk_predict_leaveoneout.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_predict_leaveoneout.m ***** test % Check virtual Leave-One-Out formula n = 20; d = 1; x_obs = stk_sampling_regulargrid (n, d, [0; 2*pi]); z_obs = stk_feval (@sin, x_obs); lm_list = {stk_lm_null, stk_lm_constant, stk_lm_affine}; for j = 0:2 for k = 1:(length (lm_list)) model = stk_model (@stk_materncov32_iso, d); model.lm = lm_list{k}; model.param = log ([1; 5]); switch j % test various scenarios for lognoisevariance case 0 model.lognoisevariance = -inf; case 1 model.lognoisevariance = 0; case 2 model.lognoisevariance = (1 + rand (n, 1)) * 1e-3; end M_post = stk_model_gpposterior (model, x_obs, z_obs); [loo_pred, loo_res] = stk_predict_leaveoneout (M_post); [direct_pred, direct_res] = stk_predict_leaveoneout_direct (M_post); assert (stk_isequal_tolrel (loo_pred, direct_pred)); assert (stk_isequal_tolrel (loo_res, direct_res)); end end 1 test, 1 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/stk_predict_.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_predict_.m ***** shared n, m, M_post, M_prior, x0, x_obs, z_obs, x_prd, y_prd, idx_obs, idx_prd n = 10; % number of observations m = n + 1; % number of predictions d = 1; % dimension of the input space x0 = (linspace (0, pi, n + m))'; idx_obs = (2:2:(n+m-1))'; idx_prd = (1:2:(n+m))'; x_obs = x0(idx_obs); z_obs = sin (x_obs); x_prd = x0(idx_prd); M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error y_prd = stk_predict (M_post); ***** test y_prd = stk_predict (M_post, x_prd); ***** error y_prd = stk_predict (M_post, [x_prd x_prd]); ***** test % nargout = 2 [y_prd1, lambda] = stk_predict (M_post, x_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); assert (isequal (size (lambda), [n m])); ***** test % nargout = 3 [y_prd1, lambda, mu] = stk_predict (M_post, x_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging ***** test % nargout = 4 [y_prd1, lambda, mu, K] = stk_predict (M_post, x_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging assert (isequal (size (K), [m m])); ***** test % nargout = 2, compute only variances M_post1 = stk_model_gpposterior (M_prior, x_obs, []); [y_prd_nan, lambda] = stk_predict (M_post1, x_prd); assert (isequal (size (lambda), [n m])); assert (all (isnan (y_prd_nan.mean))); ***** test % discrete model (prediction indices provided) M_prior1 = stk_model (@stk_discretecov, M_prior, x0); M_post1 = stk_model_gpposterior (M_prior1, idx_obs, z_obs); y_prd1 = stk_predict (M_post1, idx_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); ***** test % discrete model (prediction indices *not* provided) M_prior1 = stk_model (@stk_discretecov, M_prior, x0); M_post1 = stk_model_gpposterior (M_prior1, idx_obs, z_obs); y_prd1 = stk_predict (M_post1, []); % predict them all! assert (stk_isequal_tolrel (y_prd, y_prd1(idx_prd, :))); 9 tests, 9 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/set.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/set.m ***** shared M_post x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model (@stk_materncov32_iso); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error value = get (M_post, 1.33); ***** error value = get (M_post, 'dudule'); ***** test value = get (M_post, 'prior_model'); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/model/prior_struct/stk_model.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/prior_struct/stk_model.m ***** test model = stk_model (); ***** test model = stk_model (@stk_expcov_iso); ***** test model = stk_model (@stk_expcov_iso, 1); ***** test model = stk_model (@stk_expcov_iso, 3); ***** test model = stk_model (@stk_expcov_aniso); ***** test model = stk_model (@stk_expcov_aniso, 1); ***** test model = stk_model (@stk_expcov_aniso, 3); ***** test model = stk_model (@stk_materncov_iso); ***** test model = stk_model (@stk_materncov_iso, 1); ***** test model = stk_model (@stk_materncov_iso, 3); ***** test model = stk_model (@stk_materncov_aniso); ***** test model = stk_model (@stk_materncov_aniso, 1); ***** test model = stk_model (@stk_materncov_aniso, 3); ***** test model = stk_model (@stk_materncov32_iso); ***** test model = stk_model (@stk_materncov32_iso, 1); ***** test model = stk_model (@stk_materncov32_iso, 3); ***** test model = stk_model (@stk_materncov32_aniso); ***** test model = stk_model (@stk_materncov32_aniso, 1); ***** test model = stk_model (@stk_materncov32_aniso, 3); ***** test model = stk_model (@stk_materncov52_iso); ***** test model = stk_model (@stk_materncov52_iso, 1); ***** test model = stk_model (@stk_materncov52_iso, 3); ***** test model = stk_model (@stk_materncov52_aniso); ***** test model = stk_model (@stk_materncov52_aniso, 1); ***** test model = stk_model (@stk_materncov52_aniso, 3); ***** test model = stk_model (@stk_gausscov_iso); ***** test model = stk_model (@stk_gausscov_iso, 1); ***** test model = stk_model (@stk_gausscov_iso, 3); ***** test model = stk_model (@stk_gausscov_aniso); ***** test model = stk_model (@stk_gausscov_aniso, 1); ***** test model = stk_model (@stk_gausscov_aniso, 3); ***** test model = stk_model (@stk_sphcov_iso); ***** test model = stk_model (@stk_sphcov_iso, 1); ***** test model = stk_model (@stk_sphcov_iso, 3); ***** test model = stk_model (@stk_sphcov_aniso); ***** test model = stk_model (@stk_sphcov_aniso, 1); ***** test model = stk_model (@stk_sphcov_aniso, 3); 37 tests, 37 passed, 0 known failure, 0 skipped [inst/model/prior_struct/stk_covmat_noise.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/prior_struct/stk_covmat_noise.m ***** shared model, model2, x1, x2, n1, n2, d, Ka, Kb, Kc, Pa, Pb, Pc, P1, P2, P3, K1, K2, K3 n1 = 20; n2 = 10; d = 4; model = stk_model (@stk_materncov52_aniso, d); model.lm = stk_lm_affine; model.param = log ([1.0; 2.1; 2.2; 2.3; 2.4]); model2 = model; model2.lognoisevariance = log(0.01); x1 = stk_sampling_randunif (n1, d); x2 = stk_sampling_randunif (n2, d); ***** error [KK, PP] = stk_covmat_noise (); ***** error [KK, PP] = stk_covmat_noise (model); ***** test [Ka, Pa] = stk_covmat_noise (model, x1); % (1) ***** test [K1, P1] = stk_covmat_noise (model, x1, []); ***** test [K2, P2] = stk_covmat_noise (model, x1, [], -1); ***** test [K3, P3] = stk_covmat_noise (model, x1, [], -1, false); ***** assert (isequal (size (Ka), [n1 n1])); ***** assert (isequal (size (Pa), [n1 0])); ***** assert (isequal (P1, Pa) && (isequal (K1, Ka))) ***** assert (isequal (P2, Pa) && (isequal (K2, Ka))) ***** assert (isequal (P3, Pa) && (isequal (K3, Ka))) ***** test [Kb, Pb] = stk_covmat_noise (model, x1, x1); % (2) ***** test [K1, P1] = stk_covmat_noise (model, x1, x1, -1); ***** test [K2, P2] = stk_covmat_noise (model, x1, x1, -1, false); ***** assert (isequal (size (Kb), [n1 n1])); ***** assert (isequal (size (Pb), [n1 0])); ***** assert (isequal (P1, Pb) && (isequal (K1, Kb))) ***** assert (isequal (P2, Pb) && (isequal (K2, Kb))) ***** test [Kc, Pc] = stk_covmat_noise (model, x1, x2); % (3) ***** test [K1, P1] = stk_covmat_noise (model, x1, x2, -1); ***** test [K2, P2] = stk_covmat_noise (model, x1, x2, -1, false); ***** assert (isequal (size (Kc), [n1 n2])); ***** assert (isequal (size (Pc), [n1 0])); ***** assert (isequal (P1, Pc) && (isequal (K1, Kc))) ***** assert (isequal (P2, Pc) && (isequal (K2, Kc))) ***** assert (isequal (Kb, Ka)); ***** test [Ka, Pa] = stk_covmat_noise (model2, x1); % (1') ***** test [Kb, Pb] = stk_covmat_noise (model2, x1, x1); % (2') ***** error assert (isequal (Kb, Ka)); ***** assert (isequal (Pa, Pb)); ***** assert (isequal (Pa, Pc)); 31 tests, 31 passed, 0 known failure, 0 skipped [inst/model/prior_struct/stk_ortho_func.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/prior_struct/stk_ortho_func.m ***** shared model, x, n, d n = 15; d = 4; model = stk_model (@stk_materncov_aniso, d); x = stk_sampling_randunif (n, d); model = rmfield (model, 'lm'); % Test the old .order approach ***** error P = stk_ortho_func (); ***** error P = stk_ortho_func (model); ***** test P = stk_ortho_func (model, x); ***** test model.order = -1; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 0])); ***** test model.order = 0; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 1])); ***** test model.order = 1; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, d + 1])); ***** test model.order = 2; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 1 + d * (d + 3) / 2])); ***** test model.order = 3; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 1 + d * (11 + d * (6 + d)) / 6])); ***** error model.order = 4; P = stk_ortho_func (model, x); % model.order > 3 is not allowed 9 tests, 9 passed, 0 known failure, 0 skipped [inst/utils/stk_generate_samplepaths.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/utils/stk_generate_samplepaths.m ***** shared model, xi, zi, xt, n, nb_paths dim = 1; n = 50; nb_paths = 5; model = stk_model (@stk_materncov32_iso, dim); model.param = log ([1.0; 2.9]); xt = stk_sampling_regulargrid (n, dim, [-1.0; 1.0]); xi = [xt(1, :); xt(end, :)]; zi = [0; 0]; ***** error zsim = stk_generate_samplepaths (); ***** error zsim = stk_generate_samplepaths (model); ***** test zsim = stk_generate_samplepaths (model, xt); ***** test zsim = stk_generate_samplepaths (model, xt, nb_paths); ***** test zsim = stk_generate_samplepaths (model, xi, zi, xt); ***** test zsim = stk_generate_samplepaths (model, xi, zi, xt, nb_paths); ***** test zsim = stk_generate_samplepaths (model, xt); assert (isequal (size (zsim), [n, 1])); ***** test zsim = stk_generate_samplepaths (model, xt, nb_paths); assert (isequal (size (zsim), [n, nb_paths])); ***** test % duplicate simulation points zsim = stk_generate_samplepaths (model, [xt; xt], nb_paths); assert (isequal (size (zsim), [2 * n, nb_paths])); assert (isequal (zsim(1:n, :), zsim((n + 1):end, :))); ***** test % simulation points equal to observation points (noiseless model) % https://sourceforge.net/p/kriging/tickets/14/ zsim = stk_generate_samplepaths (model, xt, zeros (n, 1), xt); assert (isequal (zsim, zeros (n, 1))); 10 tests, 10 passed, 0 known failure, 0 skipped [inst/utils/stk_conditioning.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/utils/stk_conditioning.m ***** shared n, m, ni, xi_ind, lambda, zsim, zi n = 50; m = 5; ni = 10; xi_ind = 1:ni; lambda = 1/ni * ones (ni, n); % prediction == averaging zsim = ones (n, m); % const unconditioned samplepaths zi = zeros (ni, 1); % conditioning by zeros ***** error zsimc = stk_conditioning (); ***** error zsimc = stk_conditioning (lambda); ***** error zsimc = stk_conditioning (lambda, zi); ***** test zsimc = stk_conditioning (lambda, zi, zsim); ***** test zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); ***** test zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); assert (stk_isequal_tolabs (double (zsimc), zeros (n, m))); ***** test zi = 2 * ones (ni, 1); % conditioning by twos zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); assert (stk_isequal_tolabs (double (zsimc), 2 * ones (n, m))); ***** test DIM = 1; nt = 400; xt = stk_sampling_regulargrid (nt, DIM, [-1.0; 1.0]); NI = 6; xi_ind = [1 20 90 200 300 350]; xi = xt(xi_ind, 1); zi = (1:NI)'; % linear response ;-) % Carry out the kriging prediction at points xt model = stk_model (@stk_materncov52_iso); model.param = log ([1.0; 2.9]); [ignore_zp, lambda] = stk_predict (model, xi, [], xt); % Generate (unconditional) sample paths according to the model NB_PATHS = 10; zsim = stk_generate_samplepaths (model, xt, NB_PATHS); zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/misc/pareto/stk_isdominated.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/pareto/stk_isdominated.m ***** test A = [1 3 2]; B = [0 0 0]; [isdom, dpos] = stk_isdominated (A, B); assert (isdom == 1); assert (dpos == 1); ***** test A = [1 3 2]; B = [0 0 3]; [isdom, dpos] = stk_isdominated (A, B); assert (isdom == 0); assert (dpos == 0); ***** test A = [1 3 2]; B = [0 0 0; 0 0 3]; [isdom, dpos] = stk_isdominated (A, B); assert (isdom == 1); assert (dpos == 1); ***** test A = [1 3 2]; B = [0 0 3; 0 0 0]; [isdom, dpos] = stk_isdominated (A, B); assert (isdom == 1); assert (dpos == 2); ***** test A = [1 3 2; 1 0 1; -1 0 0; 1 3 2]; B = [1 0 0; 0 0 3; 0 0 0]; [isdom, dpos] = stk_isdominated (A, B); assert (isequal (isdom, logical ([1; 1; 0; 1]))); assert (isequal (dpos, [3; 3; 0; 3])); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/misc/pareto/stk_dominatedhv.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/pareto/stk_dominatedhv.m ***** error hv = stk_dominatedhv (); ***** error hv = stk_dominatedhv (-y, 'incorrect ref type'); ***** error hv = stk_dominatedhv (-y, [0 0]); ***** error hv = stk_dominatedhv (-y, [0 0 0 0 0], 0, 'too many input args'); ***** shared y, hv0 % Example from README.TXT in WFG 1.10 y = [ ... 0.598 0.737 0.131 0.916 6.745; ... 0.263 0.740 0.449 0.753 6.964; ... 0.109 8.483 0.199 0.302 8.872 ]; hv0 = 1.1452351120; ***** test hv = stk_dominatedhv (-y); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test yy = stk_dataframe (- y); % Check that @stk_dataframe inputs are accepted hv = stk_dominatedhv (yy); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test hv = stk_dominatedhv (-y, [], 0); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test hv = stk_dominatedhv (-y, [0 0 0 0 0]); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test hv = stk_dominatedhv (1 - y, [1 1 1 1 1]); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test r = stk_dominatedhv (-y, [], 1); hv = sum (r.sign .* prod (r.xmax - r.xmin, 2)); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** shared y1, y2, y0, S, S1 y0 = [1.00 1.00]; % Reference point y1 = [1.50 1.50]; % Above the reference point y2 = [0.50 0.50]; % Below the reference point ***** assert (isequal (0.00, stk_dominatedhv (y1, y0))); ***** assert (isequal (0.25, stk_dominatedhv (y2, y0))); ***** assert (isequal (0.25, stk_dominatedhv ([y1; y2], y0))); ***** assert (isequal (0.25, stk_dominatedhv ([y2; y1; y2], y0))); ***** test S = stk_dominatedhv (y1, y0, 1); % empty decomposition ***** assert (isequal (size (S.xmin, 1), 0)); ***** test S = stk_dominatedhv (y2, y0, 1); % trivial decomposition ***** assert (isequal (S.sign, 1)); ***** assert (isequal (S.xmin, y2)); ***** assert (isequal (S.xmax, y0)); ***** test S1 = stk_dominatedhv ([y2; y0], y0, 1); % shoud be the same as before ***** assert (isequal (S1, S)); ***** test S1 = stk_dominatedhv ([y2; y1], y0, 1); % shoud be the same as before ***** assert (isequal (S1, S)); ***** test S1 = stk_dominatedhv ([y2; y2], y0, 1); % shoud be the same as before ***** assert (isequal (S1, S)); ***** test for d = 1:10, y = - 0.5 * ones (1, d); hv = stk_dominatedhv (y); assert (isequal (stk_dominatedhv (y), 0.5 ^ d)); end ***** test for d = 1:10, y = - 0.5 * ones (1, d); r = stk_dominatedhv (y, [], 1); hv = sum (r.sign .* prod (r.xmax - r.xmin, 2)); assert (isequal (stk_dominatedhv (y), 0.5 ^ d)); end ***** shared y, y_ref, dv, hv0 y1 = [0.25 0.75]; y2 = [0.50 0.50]; y3 = [0.75 0.25]; y_ref = [1 1]; y = {[], y1, y2, y3; [y1; y2], [y1; y3], [y2; y3], [y1; y2; y3]}; dv = 0.25 ^ 2; hv0 = [0 3 4 3; 5 5 5 6] * dv; ***** test hv1 = stk_dominatedhv (y, y_ref); assert (isequal (hv0, hv1)); ***** test r = stk_dominatedhv (y, y_ref, 1); % Check the first decomposition, which should be empty assert (isempty (r(1).sign)); assert (isempty (r(1).xmin)); assert (isempty (r(1).xmax)); % Check the other decompositions for i = 2:6, hv2 = sum (r(i).sign .* prod (r(i).xmax - r(i).xmin, 2)); assert (isequal (hv0(i), hv2)); end ***** test y = (0.3:0.1:0.8)'; hv0 = 0.7; hv1 = stk_dominatedhv (y, 1); r = stk_dominatedhv (y, 1, true); hv2 = sum (r.sign .* prod (r.xmax - r.xmin, 2)); ***** test % four non-dominated points (hypervolume) zr = [1 1]; zi = [0.2 0.8; 0.4 0.6; 0.6 0.4; 0.8 0.2] P = perms (1:4); for i = 1:24 HV = stk_dominatedhv (zi(P(i, :), :), zr, 0); assert (stk_isequal_tolrel (HV, 0.4, 1e-15)); end zi = 0.2000 0.8000 0.4000 0.6000 0.6000 0.4000 0.8000 0.2000 ***** test % four non-dominated points (decomposition) zr = [1 1]; zi = [0.2 0.8; 0.4 0.6; 0.6 0.4; 0.8 0.2] P = perms (1:4); for i = 1:24 S = stk_dominatedhv (zi(P(i, :), :), zr, 1); HV = sum (S.sign .* prod (S.xmax - S.xmin, 2)); assert (stk_isequal_tolrel (HV, 0.4, 1e-15)); end zi = 0.2000 0.8000 0.4000 0.6000 0.6000 0.4000 0.8000 0.2000 ***** test % a case with 8 points and 5 objectives % http://sourceforge.net/p/kriging/tickets/33 yr = [1.03 0.91 0.96 1.99 16.2]; y = [ ... 0.8180 0.5600 0.1264 1.0755 1.2462; ... 0.8861 0.6928 0.2994 0.7228 0.9848; ... 0.9021 0.8829 0.6060 0.1642 0.4282; ... 0.9116 0.3097 0.8601 0.0468 0.2813; ... 0.9306 0.1429 0.6688 0.1462 1.3661; ... 0.9604 0.3406 0.4046 0.7239 1.8741; ... 0.9648 0.7764 0.5199 0.4098 1.3436; ... 0.9891 0.4518 0.7956 0.1164 1.2025]; hv1 = stk_dominatedhv (y, yr, 0); S = stk_dominatedhv (y, yr, 1); hv2 = sum (S.sign .* prod (S.xmax - S.xmin, 2)); assert (isequal (size (S.sign), [87 1])); assert (isequal (size (S.xmin), [87 5])); assert (isequal (size (S.xmax), [87 5])); assert (stk_isequal_tolrel (hv1, 1.538677420906463, 2 * eps)); assert (stk_isequal_tolrel (hv1, hv2, eps)); ***** test % with random data NREP = 5; for p = 1:5 for n = 1:10 for i = 1:NREP % Draw random data y = rand (n, p); y = - y ./ (norm (y)); % Compute hypervolume directly hv1 = stk_dominatedhv (y, [], 0); % Compute decomposition, then hypervolume R = stk_dominatedhv (y, [], 1); hv2 = sum (R.sign .* prod (R.xmax - R.xmin, 2)); % Compare results assert (stk_isequal_tolabs (hv1, hv2, eps)); end end end 35 tests, 35 passed, 0 known failure, 0 skipped [inst/misc/pareto/stk_paretofind.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/pareto/stk_paretofind.m ***** shared x, ndpos, drank x = [ ... 0 2; ... 2 2; ... ]; ***** test [ndpos, drank] = stk_paretofind (x); ***** assert (isequal (ndpos, 1)); ***** assert (isequal (drank, [0; 1])); ***** shared x, ndpos, drank x = [ ... 3 2; ... 2 2; ... ]; ***** test [ndpos, drank] = stk_paretofind (x); ***** assert (isequal (ndpos, 2)); ***** assert (isequal (drank, [1; 0])); ***** shared x, ndpos, drank x = [ ... 1 0; ... 2 0; ... 0 2; ... 2 2; ... -1 3 ]; ***** test [ndpos, drank] = stk_paretofind (x); ***** assert (isequal (ndpos, [5; 3; 1])); ***** assert (isequal (drank, [0; 3; 0; 2; 0])); ***** shared x, ndpos, drank x = [ ... 1 0; ... 2 0; ... 0 2; ... 2 2; ... -1 3; ... -1 4; ... 2 2 ]; ***** test [ndpos, drank] = stk_paretofind (x); ***** assert (isequal (ndpos, [5; 3; 1])); ***** assert (isequal (drank, [0; 3; 0; 2; 0; 1; 2])); 12 tests, 12 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_filldist_discretized.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_filldist_discretized.m ***** error stk_filldist_discretized(0.0) % incorrect nb of arguments ***** error stk_filldist_discretized(0.0, []) % second arg is empty ***** error stk_filldist_discretized([], 0.0) % first arg is empty ***** test d = 3; x = rand(7, d); y = rand(20, d); fd1 = stk_filldist_discretized(x, y); fd2 = stk_filldist_discretized(stk_dataframe(x), stk_dataframe(y)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test n = 5; for dim = 1:10, x = rand(n, dim); fd = stk_filldist_discretized(x, x); assert(stk_isequal_tolabs(fd, 0.0)); end ***** test for dim = 1:10, x = rand(1, dim); y = rand(1, dim); fd = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, norm(x - y))); end ***** test n = 4; for dim = 2:10, x = zeros(n, dim); y = rand(1, dim); fd = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, max(stk_dist(x, y)))); end ***** test for dim = [1 3 6], x = 0.5 * ones(1, dim); y = stk_sampling_regulargrid(2^dim, dim); % [0; 1]^d is the default box fd = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], x = zeros(1, dim); y = stk_sampling_regulargrid(3^dim, dim); [fd, ymax] = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end 9 tests, 9 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_gpquadform.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_gpquadform.m ***** shared x, y, z, rx, ry, rz x = rand(5, 2); rx = rand(5, 2) + 1; y = rand(6, 2); ry = rand(6, 2) + 1; z = rand(5, 3); rz = rand(5, 3) + 1; ***** error Q = stk_gpquadform(x, ry, y, ry) ***** error Q = stk_gpquadform(x, rz, y, ry) ***** error Q = stk_gpquadform(x, rx, y, rx) ***** error Q = stk_gpquadform(x, rx, y, rz) ***** error Q = stk_gpquadform(x, rx, z, ry) ***** shared x, y, z, rx, ry, rz x = zeros (11, 5); rx = 1/sqrt(2) * ones (11, 5); y = zeros (13, 5); ry = 1/sqrt(2) * ones (13, 5); z = ones ( 7, 5); rz = 1/sqrt(2) * ones ( 7, 5); ***** test Qx = stk_gpquadform(x, [], rx); assert(isequal(Qx, zeros(11))); ***** test Qxx = stk_gpquadform(x, x, rx, rx); assert(isequal(Qxx, zeros(11))); ***** test Qxy = stk_gpquadform(x, y, rx, ry); assert(isequal(Qxy, zeros(11, 13))); ***** test Qzz = stk_gpquadform(z, [], rz); assert(isequal(Qzz, zeros(7))); ***** test Qxz = stk_gpquadform(x, z, rx, rz); assert(stk_isequal_tolabs(Qxz, 5 * ones(11, 7))); ***** test x = randn(5, 3); rx = 1 + rand(5, 3); y = randn(5, 3); ry = 1 + rand(5, 3); Q1 = stk_gpquadform(x, y, rx, ry, true); % pairwise Q2 = stk_gpquadform(x, y, rx, ry, false); assert(isequal(size(Q1), [5 1])); assert(isequal(size(Q2), [5 5])); assert(stk_isequal_tolabs(Q1, diag(Q2))); ***** test x = randn(5, 3); rx = 1 + rand(5, 3); Q1 = stk_gpquadform(x, [], rx, [], true); % pairwise assert(stk_isequal_tolabs(Q1, zeros(5, 1))); Q1 = stk_gpquadform(x, x, rx, rx, true); % pairwise assert(stk_isequal_tolabs(Q1, zeros(5, 1))); ***** shared x, y, z, rx, ry, rz x = zeros (11, 5); rx = 2 * ones (11, 5); y = zeros (13, 5); ry = 2 * ones (13, 5); z = ones ( 7, 5); rz = 2 * ones ( 7, 5); ***** test Qx = stk_gpquadform(x, [], rx); assert(isequal(Qx, zeros(11))); ***** test Qxx = stk_gpquadform(x, x, rx, rx); assert(isequal(Qxx, zeros(11))); ***** test Qxy = stk_gpquadform(x, y, rx, ry); assert(isequal(Qxy, zeros(11, 13))); ***** test Qzz = stk_gpquadform(z, [], rz); assert(isequal(Qzz, zeros(7))); ***** test Qxz = stk_gpquadform(x, z, rx, rz); assert(stk_isequal_tolabs(Qxz, 5/8 * ones(11, 7))); 17 tests, 17 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_filldist.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_filldist.m ***** test %%% exact d = 3; x = rand(7, d); box = repmat([0; 1], 1, d); fd1 = stk_filldist(x, box); fd2 = stk_filldist(stk_dataframe(x), stk_dataframe(box)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test %%% discretized d = 3; x = rand(7, d); y = rand(20, d); fd1 = stk_filldist(x, y); fd2 = stk_filldist(stk_dataframe(x), stk_dataframe(y)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test n = 5; % must be bigger than 2 for dim = 1:10, x = rand(n, dim); fd = stk_filldist(x, x); assert(stk_isequal_tolabs(fd, 0.0)); end ***** test %%% exact for dim = 1:6, x = 0.5 * ones(1, dim); fd = stk_filldist(x); % [0; 1]^d is the default box assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test %%% discretized for dim = 1:6, x = 0.5 * ones(1, dim); y = stk_sampling_regulargrid(2^dim, dim); % [0; 1]^d is the default box fd = stk_filldist(x, y); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], box = repmat([1; 2], 1, dim); x = 1 + 0.5 * ones(1, dim); fd = stk_filldist(x, box); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test dim = 3; box = repmat([-1; 1], 1, dim); x = stk_sampling_randunif(20, dim, box); y = stk_sampling_regulargrid(3^dim, dim, box); fd1 = stk_filldist(x, box); fd2 = stk_filldist(x, y); assert(fd1 >= fd2 - 10 * eps); ***** test %%% exact for dim = [1 3 7], x = zeros(1, dim); [fd, ymax] = stk_filldist_exact(x); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end ***** test %%% discretized for dim = [1 3 7], x = zeros(1, dim); y = stk_sampling_regulargrid(3^dim, dim); [fd, ymax] = stk_filldist(x, y); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end 9 tests, 9 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_dist.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_dist.m ***** error stk_dist(); ***** error stk_dist(0, 0, 0); ***** error stk_dist(0, 0, 0, 0); ***** error stk_dist(0, ones(1, 2)); ***** error stk_dist(eye(3), ones(1, 2)); ***** error stk_dist(ones(2, 1), zeros(2)); ***** shared x, y, z x = zeros(11, 5); y = zeros(13, 5); z = ones(7, 5); ***** test Dx = stk_dist(x); assert(isequal(Dx, zeros(11))); ***** test Dxx = stk_dist(x, x); assert(isequal(Dxx, zeros(11))); ***** test Dxy = stk_dist(x, y); assert(isequal(Dxy, zeros(11, 13))); ***** test Dzz = stk_dist(z, z); assert(isequal(Dzz, zeros(7))); ***** test Dxz = stk_dist(x, z); assert(stk_isequal_tolabs(Dxz, sqrt(5)*ones(11, 7))); ***** test x = randn(5,3); y = randn(5,3); D1 = stk_dist(x, y, true); % pairwise D2 = stk_dist(x, y); assert(stk_isequal_tolabs(D1, diag(D2))); ***** test x = randn(5,3); D1 = stk_dist(x, [], true); % pairwise assert(stk_isequal_tolabs(D1, zeros(5, 1))); D1 = stk_dist(x, x, true); % pairwise assert(stk_isequal_tolabs(D1, zeros(5, 1))); 13 tests, 13 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_mindist.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_mindist.m ***** test d = 3; x = rand(7, d); md1 = stk_mindist(x); md2 = stk_mindist(stk_dataframe(x)); assert(stk_isequal_tolabs(md1, md2)); ***** test for nc = [0 5 10], x = zeros(0, nc); d = stk_mindist(x); assert(isempty(d)); end ***** test for nc = [0 5 10], x = rand(1, nc); d = stk_mindist(x); assert(isempty(d)); end ***** test for nr = [2 5 10], x = zeros(nr, 0); d = stk_mindist(x); assert(isequal(d, 0.0)); end ***** test nrep = 20; TOL_REL = 1e-15; for irep = 1:nrep, n = 2 + floor(rand * 10); d = 1 + floor(rand * 10); x = rand(n, d); z = stk_mindist(x); assert(isequal(size(d), [1, 1])); assert(~isnan(d)); assert(~isinf(d)); % check the result mindist = Inf; for i = 1:(n-1), for j = (i+1):n, mindist = min(mindist, norm(x(i,:) - x(j,:))); end end assert(abs(z - mindist) <= TOL_REL * mindist); end 5 tests, 5 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_filldist_exact.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_filldist_exact.m ***** test d = 3; x = rand(7, d); box = repmat([0; 1], 1, d); fd1 = stk_filldist_exact(x, box); fd2 = stk_filldist_exact(stk_dataframe(x), stk_dataframe(box)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test for dim = 1:6, x = 0.5 * ones(1, dim); fd = stk_filldist_exact(x); % [0; 1]^d is the default box assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], box = repmat([1; 2], 1, dim); x = 1 + 0.5 * ones(1, dim); fd = stk_filldist_exact(x, box); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], x = zeros(1, dim); [fd, ymax] = stk_filldist_exact(x); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end 4 tests, 4 passed, 0 known failure, 0 skipped [inst/misc/test/stk_isequal_tolabs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/test/stk_isequal_tolabs.m ***** shared r1, r2, a, b, tolabs a = 1.01; b = 1.02; tolabs = 0.1; ***** error rr = stk_isequal_tolabs(); ***** error rr = stk_isequal_tolabs(a); ***** test r1 = stk_isequal_tolabs(a, b); ***** test r2 = stk_isequal_tolabs(a, b, tolabs); ***** test assert(~r1); ***** test assert(r2); ***** test a = struct('u', []); b = struct('v', []); assert(~ stk_isequal_tolabs(a, b)) ***** test a = struct('u', 1.01); b = struct('u', 1.02); assert(stk_isequal_tolabs(a, b, tolabs)) 8 tests, 8 passed, 0 known failure, 0 skipped [inst/misc/test/stk_isequal_tolrel.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/test/stk_isequal_tolrel.m ***** shared r1, r2, r3, a, b, tolrel a = 1.01; b = 1.02; tolrel = 0.1; ***** error rr = stk_isequal_tolrel(); ***** error rr = stk_isequal_tolrel(a); ***** test r1 = stk_isequal_tolrel(a, b); ***** test r2 = stk_isequal_tolrel(a, b, tolrel); ***** test r3 = stk_isequal_tolrel(a, [b b]); ***** test assert (isequal (r1, false)); ***** test assert (isequal (r2, true)); ***** test assert (isequal (r3, false)); ***** test a = struct('u', []); b = struct('v', []); assert(~ stk_isequal_tolrel(a, b)) ***** test a = struct('u', 1.01); b = struct('u', 1.02); assert(stk_isequal_tolrel(a, b, tolrel)) 10 tests, 10 passed, 0 known failure, 0 skipped [inst/misc/test/stk_test.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/test/stk_test.m ***** assert(isempty([])) % support for test assert shorthand ***** assert((1 + 1) == 2) ***** test a=1; ***** test assert(~exist('a')); ***** shared a % create a shared variable ***** test a = 3; % assign to a shared variable ***** test assert(a == 3); % variable should equal 3 in this second 'test' block ***** shared b, c % replace shared variables {'a'} --> {'b', 'c'} ***** test assert(~exist('a')); % a no longer exists ***** test assert(isempty(b)); % variables start off empty ***** shared a % recreate a shared variable that had been deleted ***** test assert (isempty(a)); % it is empty, even though it was equal to 3 before ***** shared a, b, c % creates three shared variables a = 1; b = 2; c = 3; % give values to all variables, in the same block ***** assert(isequal([a, b, c], [1, 2, 3])); % test all of them together ***** test c=6; % update a value ***** test % show that the update sticks between blocks assert(isequal([a, b, c], [1, 2, 6])); ***** shared % clear all shared variables ***** assert(~exist('a')) % show that they are cleared ***** error test % not enough input arguments ***** error test(1, 2, 3, 4) % too many input args ***** error garbage % usage on nonexistent function should be ***** error stt_test('test', 'bogus'); % undefined function error ***** error stk_test('test', 'bogus'); % error raised by stk_test itself ***** error stk_test(); ***** error stk_test('disp', 'verbose', [], 'extra arg !!!'); ***** error stk_test([]) ***** error stk_test(0.0) ***** error stk_test('stk_mindist', 0.0) ***** error stk_test('stk_mindist', 'dudule') 24 tests, 24 passed, 0 known failure, 0 skipped [inst/misc/parallel/@stk_parallel_engine_none/stk_parallel_engine_none.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/parallel/@stk_parallel_engine_none/stk_parallel_engine_none.m ***** test stk_test_class ('stk_parallel_engine_none') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/optim/@stk_optim_fminsearch/stk_optim_fminsearch.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_fminsearch/stk_optim_fminsearch.m ***** test stk_test_class ('stk_optim_fminsearch') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/optim/@stk_optim_fmincon/stk_optim_fmincon.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_fmincon/stk_optim_fmincon.m ***** test stk_test_class ('stk_optim_fmincon') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/optim/@stk_optim_optimizer_/stk_optim_optimizer_.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_optimizer_/stk_optim_optimizer_.m ***** test stk_test_class ('stk_optim_optimizer_') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/optim/@stk_optim_octavesqp/stk_optim_octavesqp.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_octavesqp/stk_optim_octavesqp.m ***** test stk_test_class ('stk_optim_octavesqp') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/optim/stk_optim_testmin_unc.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_optim_testmin_unc.m ***** shared algo algo = stk_options_get ('stk_param_estim', 'minimize_unc'); ***** error b = stk_optim_testmin_unc (); ***** assert (stk_optim_testmin_unc (algo)); ***** assert (~ stk_optim_testmin_unc ('dudule')); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/misc/optim/stk_minimize_unconstrained.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_minimize_unconstrained.m ***** test % Call fminsearch using function name if stk_optim_isavailable ('fminsearch') assert (stk_optim_testmin_unc ('fminsearch')); end ***** test % Call fminsearch directly, using algorithm object if stk_optim_isavailable ('fminsearch') algo = stk_optim_fminsearch ('TolX', 1e-12, 'TolFun', 1e-12); assert (stk_optim_testmin_unc (algo)); end ***** test % Call sqp using function name if stk_optim_isavailable ('octavesqp') assert (stk_optim_testmin_unc ('octavesqp')); end ***** test % Call sqp directly, using algorithm object if stk_optim_isavailable ('octavesqp') algo = stk_optim_octavesqp (); assert (stk_optim_testmin_unc (algo)); end ***** error assert (stk_optim_testmin_unc ('InexistentOptimizer')); ***** error assert (stk_optim_testmin_unc (100)); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/optim/stk_optim_testmin_box.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_optim_testmin_box.m ***** shared algo algo = stk_options_get ('stk_param_estim', 'minimize_box'); ***** error b = stk_optim_testmin_box (); ***** assert (stk_optim_testmin_box (algo)); ***** assert (~ stk_optim_testmin_box ('dudule')); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/misc/optim/stk_minimize_boxconstrained.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_minimize_boxconstrained.m ***** test % Call fmincon using function name if stk_optim_isavailable ('fmincon') assert (stk_optim_testmin_box ('fmincon')); end ***** test % Call fmincon directly, using algorithm object if stk_optim_isavailable ('fmincon') algo = stk_optim_fmincon ('TolX', 1e-12, 'TolFun', 1e-12); assert (stk_optim_testmin_box (algo)); end ***** test % Call sqp using function name if stk_optim_isavailable ('octavesqp') assert (stk_optim_testmin_box ('octavesqp')); end ***** test % Call sqp directly, using algorithm object if stk_optim_isavailable ('octavesqp') algo = stk_optim_octavesqp (); assert (stk_optim_testmin_box (algo)); end ***** error assert (stk_optim_testmin_box ('InexistentOptimizer')); ***** error assert (stk_optim_testmin_box (100)); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/design/stk_maxabscorr.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/design/stk_maxabscorr.m ***** assert (stk_isequal_tolabs (0.0, ... % Test on an OLHS(5) stk_maxabscorr ([0.4 0.8 0 -0.4 -0.8; -0.8 0.4 0 0.8 -0.4]'))); 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/design/stk_phipcrit.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/design/stk_phipcrit.m ***** shared x x = [0, 0.2, 0.4, 0.6, 0.8, 1.0; 0, 0.6, 0.8, 1.0, 0.2, 0.4]'; ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 10), 3.946317664423303, 1e-15)) ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 50), 3.614077252813102, 1e-15)); ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 100), 3.574589859827413, 1e-15)); ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 1e9), 1 / stk_mindist (x), 1e-8)); ***** assert (isequal (stk_phipcrit (ones (2)), Inf)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_normal_ei.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_ei.m ***** assert (stk_isequal_tolrel (stk_distrib_normal_ei (0.0), 1 / sqrt (2 * pi), eps)) ***** test % Decreasing as a function of z ei = stk_distrib_normal_ei (linspace (-10, 10, 200)); assert (all (diff (ei) < 0)) ***** shared M, mu, sigma, ei M = randn (1, 10); mu = randn (5, 1); sigma = 1 + rand (1, 1, 7); ei = stk_distrib_normal_ei (M, mu, sigma); ***** assert (isequal (size (ei), [5, 10, 7])) ***** assert (all (ei(:) >= 0)) ***** assert (isequal (ei, stk_distrib_normal_ei (M, mu, sigma, false))); ***** assert (isequal (ei, stk_distrib_normal_ei (-M, -mu, sigma, true))); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_student_pdf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_student_pdf.m ***** assert (stk_isequal_tolrel ( ... stk_distrib_student_pdf ([1; 3], [1; 2], [0 1], [1 10]), ... [0.50 / pi ... % tpdf ((1 - 1) / 10, 1) 0.10 / pi; ... % tpdf ((1 - 1) / 10, 1) / 10 1 / (11 * sqrt(11)) ... % tpdf ((3 - 0) / 1, 2) / 1 3.4320590294804165e-02 ... % tpdf ((3 - 1) / 10, 2) / 10 ], eps)); ***** assert (isequal (stk_distrib_student_pdf ( inf, 1.0), 0.0)); ***** assert (isequal (stk_distrib_student_pdf (-inf, 1.0), 0.0)); ***** assert (isnan (stk_distrib_student_pdf ( nan, 1.0))); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_normal_pdf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_pdf.m ***** assert (stk_isequal_tolrel (stk_distrib_normal_pdf ([1; 3], 1, [1 10]), ... [1 / sqrt(2 * pi) ... % normpdf ((1 - 1) / 1) 0.1 / sqrt(2 * pi); ... % normpdf ((1 - 1) / 10) / 10 exp(-2) / sqrt(2 * pi) ... % normpdf ((3 - 1) / 1) 3.910426939754558780e-2 ... % normpdf ((3 - 1) / 10) / 10 ], eps)); ***** assert (isequal (stk_distrib_normal_pdf (inf), 0.0)); ***** assert (isequal (stk_distrib_normal_pdf (-inf), 0.0)); ***** assert (isnan (stk_distrib_normal_pdf (nan))); ***** assert (isnan (stk_distrib_normal_pdf (0, 0, -1))); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_normal_cdf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_cdf.m ***** assert (stk_isequal_tolrel (stk_distrib_normal_cdf ([1; 3], 1, [1 10]), ... [0.5, ... % normcdf ((1 - 1) / 1) 0.5; ... % normcdf ((1 - 1) / 10) 0.5 * erfc(-sqrt(2)), ... % normcdf ((3 - 1) / 1) 0.5 * erfc(-0.1*sqrt(2)) ... % normcdf ((3 - 1) / 10) ], eps)); ***** test [p, q] = stk_distrib_normal_cdf (10); assert (isequal (p, 1.0)); assert (stk_isequal_tolrel (q, 7.6198530241604975e-24, eps)); ***** assert (isequal (stk_distrib_normal_cdf ( 0.0), 0.5)); ***** assert (isequal (stk_distrib_normal_cdf ( inf), 1.0)); ***** assert (isequal (stk_distrib_normal_cdf (-inf), 0.0)); ***** assert (isnan (stk_distrib_normal_cdf ( nan))); ***** assert (isnan (stk_distrib_normal_cdf (0, 0, -1))); ***** assert (isequal (stk_distrib_normal_cdf (0, 0, 0), 1.0)); ***** assert (isequal (stk_distrib_normal_cdf (0, 1, 0), 0.0)); ***** assert (isequal (stk_distrib_normal_cdf (1, 0, 0), 1.0)); 10 tests, 10 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_student_ei.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_student_ei.m ***** assert (stk_isequal_tolrel (stk_distrib_student_ei (0, 2), 1 / sqrt (2), eps)) ***** test % Decreasing as a function of z ei = stk_distrib_student_ei (linspace (-10, 10, 200), 3.33); assert (all (diff (ei) < 0)) ***** shared M, mu, sigma, ei, nu M = randn (1, 10); mu = randn (5, 1); sigma = 1 + rand (1, 1, 7); nu = 2; ei = stk_distrib_student_ei (M, nu, mu, sigma); ***** assert (isequal (size (ei), [5, 10, 7])) ***** assert (all (ei(:) >= 0)) ***** assert (isequal (ei, stk_distrib_student_ei (M, nu, mu, sigma, false))); ***** assert (isequal (ei, stk_distrib_student_ei (-M, nu, -mu, sigma, true))); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_normal_crps.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_crps.m ***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (0.0, 0.0, 0.0), 0.0)) ***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (0.0, 0.0, 1.0), (sqrt(2) - 1)/sqrt(pi))) ***** shared n, x_obs, mu, sigma, crps, crps_exp x_obs = [ 1.78; -2.29; -1.62; -5.89; 2.88; 0.65; 2.74; -3.42]; % observations mu = [-0.31; -0.59; 1.48; -1.57; -0.05; -0.27; 1.05; 1.27]; % predictions sigma = [ 2.76; 6.80; 1.63; 1.19; 4.98; 9.60; 5.85; 2.24]; % standard dev n = size(x_obs, 1); crps = stk_distrib_normal_crps (x_obs, mu, sigma); ***** assert (isequal (size (crps), [n, 1])) ***** assert (all (crps >= 0)) ***** assert (stk_isequal_tolabs (crps, stk_distrib_normal_crps(mu, x_obs, sigma))) ***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (x_obs, mu, 0), abs (x_obs - mu))) crps_ref = [ ... 1.247856605928301 ... 1.757798727719891 ... 2.216236225997414 ... 3.648696666764968 ... 1.832355265287495 ... 2.278618297947438 ... 1.560544734359158 ... 3.455697443411153 ]; assert (stk_isequal_tolabs (crps, crps_ref, 1e-10)); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_bivnorm_cdf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_bivnorm_cdf.m ***** test z1 = [0 1; -1 2]; z2 = [0 1; 1 -2]; z = cat (3, z1, z2); % 2 x 2 x 2 mu1 = 0; % 1 x 1 x 1 mu2 = [0 1]; % 1 x 2 x 1 sigma1 = [1 3]; % 1 x 2 x 1 sigma2 = [1; 2]; % 2 x 1 x 1 rho = [0; 0.5]; % 2 x 1 x 1 %% BROADCASTING => the result will be a 2 x 2 matrix p = stk_distrib_bivnorm_cdf (z, mu1, mu2, sigma1, sigma2, rho); p11 = 0.25; % mvncdf ([ 0 0], [0 0], [1 0; 0 1]); p12 = 0.315279329909118; % mvncdf ([ 1 1], [0 1], [9 0; 0 1]); p21 = 0.146208349559646; % mvncdf ([-1 1], [0 0], [1 1; 1 4]); p22 = 0.064656239880040; % mvncdf ([ 2 -2], [0 1], [9 3; 3 4]); assert (stk_isequal_tolabs (p, [p11 p12; p21 p22], 1e-14)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf -inf], 0, 0, 1, 1, 0); assert ((p == 0.0) && (q == 1.0)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf -10], 0, 0, 1, 1, 0); assert (stk_isequal_tolrel (p, 7.619853024160489e-24, 1e-12)) assert (q == 1.0) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf 0], 0, 0, 1, 1, 0); assert (stk_isequal_tolrel (p, 0.5, 1e-12)) assert (stk_isequal_tolrel (q, 0.5, 1e-12)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf 10], 0, 0, 1, 1, 0); assert (p == 1.0); assert (stk_isequal_tolrel (q, 7.619853024160489e-24, 1e-12)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf inf], 0, 0, 1, 1, 0); assert ((p == 1.0) && (q == 0.0)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([-inf inf], 0, 0, 1, 1, 0); assert ((p == 0.0) && (q == 1.0)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([-10 inf], 0, 0, 1, 1, 0); assert (stk_isequal_tolrel (p, 7.619853024160489e-24, 1e-12)) assert (q == 1.0) ***** test [p, q] = stk_distrib_bivnorm_cdf ([0 inf], 0, 0, 1, 1, 0); assert (stk_isequal_tolrel (p, 0.5, 1e-12)) assert (stk_isequal_tolrel (q, 0.5, 1e-12)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([10 inf], 0, 0, 1, 1, 0); assert (p == 1.0); assert (stk_isequal_tolrel (q, 7.619853024160489e-24, 1e-12)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf inf], 0, 0, 1, 1, 0); assert ((p == 1.0) && (q == 0.0)) ***** test % A mixture of singular and non-singular cases p = stk_distrib_bivnorm_cdf ([0 0], 0, 0, [1; 0], 1, 0); assert (isequal (p, [0.25; 0.5])); 12 tests, 12 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_student_cdf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_student_cdf.m ***** assert (stk_isequal_tolrel ( ... stk_distrib_student_cdf ([-1; 0; 1], [1 2], 0, [1 10]), ... [0.25, ... % tcdf ((-1 - 0)/1, 1) 4.6473271920707004e-01; ... % tcdf ((-1 - 0)/10, 2) 0.50, ... % tcdf (( 0 - 0)/1, 1) 0.50; ... % tcdf (( 0 - 0)/10, 2) 0.75, ... % tcdf (( 1 - 0)/1, 1) 5.3526728079292996e-01 ... % tcdf (( 1 - 0)/10, 2) ], 4 * eps)) ***** test [p, q] = stk_distrib_student_cdf (1e10, 2); assert (isequal (p, 1.0)); assert (stk_isequal_tolrel (q, 4.999999999999999999925e-21, 10 * eps)); ***** assert (isequal (stk_distrib_student_cdf (0.0, 1), 0.5)); ***** assert (isequal (stk_distrib_student_cdf (inf, 1), 1.0)); ***** assert (isequal (stk_distrib_student_cdf (-inf, 1), 0.0)); ***** assert (isnan (stk_distrib_student_cdf (nan, 1))); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/error/stk_error.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/error/stk_error.m ***** shared errmsg, mnemonic, badstack errmsg = 'Go ahead, make my day.'; mnemonic = 'ClintEastwood'; badstack = 0; % not a valid stack structure ***** error stk_error(errmsg, mnemonic); ***** error stk_error (errmsg, mnemonic, badstack); ***** error id=STK:stk_error:InvalidArgument stk_error (errmsg, mnemonic, badstack); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/misc/text/stk_sprintf_colvect.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_sprintf_colvect.m ***** shared s ***** test s = stk_sprintf_colvect ([1 1e1], 6); ***** assert (isequal (s, [' 1'; '10'])) ***** test s = stk_sprintf_colvect ([1 1e3], 6); ***** assert (isequal (s, [' 1'; '1000'])) ***** test s = stk_sprintf_colvect ([1 1e5], 6); ***** assert (isequal (s, [' 1'; '100000'])) ***** test s = stk_sprintf_colvect ([1 1e6], 6); ***** assert (isequal (s, ['1e+00'; '1e+06'])) 8 tests, 8 passed, 0 known failure, 0 skipped [inst/misc/text/stk_disp_progress.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_disp_progress.m ***** error stk_disp_progress ('toto ', 0, 1); ***** test stk_disp_progress ('toto ', 1, 1); warning: implicit conversion from numeric to char warning: called from stk_disp_progress at line 53 column 1 __test__ at line 2 column 3 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 606 column 31 toto ***** error stk_disp_progress ('toto ', 2, 1); ***** test stk_disp_progress ('toto ', 1, 2); stk_disp_progress ('toto ', 2, 2); warning: implicit conversion from numeric to char warning: called from stk_disp_progress at line 53 column 1 __test__ at line 3 column 2 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 606 column 31 toto toto 4 tests, 4 passed, 0 known failure, 0 skipped [inst/misc/text/stk_sprintf_colvect_scientific.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_sprintf_colvect_scientific.m ***** shared x, s x = [1.2; -34567]; ***** test s = stk_sprintf_colvect_scientific(x, 1); ***** assert (isequal(s, ['#'; '#'])) ***** test s = stk_sprintf_colvect_scientific(x, 3); ***** assert (isequal(s, ['###'; '###'])) ***** test s = stk_sprintf_colvect_scientific(x, 5); ***** assert (isequal(s, ['#####'; '#####'])) ***** test s = stk_sprintf_colvect_scientific(x, 6); ***** assert (isequal(s, [' 1e+00'; '-3e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 7); ***** assert (isequal(s, [' 1e+00'; '-3e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 8); ***** assert (isequal(s, [' 1.2e+00'; '-3.5e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 9); ***** assert (isequal(s, [' 1.20e+00'; '-3.46e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 10); ***** assert (isequal(s, [' 1.200e+00'; '-3.457e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 11); ***** assert (isequal(s, [' 1.2000e+00'; '-3.4567e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 12); ***** assert (isequal(s, [' 1.2000e+00'; '-3.4567e+04'])) ***** shared x, s x = [0.9; 0.91; 0.99; 0.999]; ***** test s = stk_sprintf_colvect_scientific (x, 4); ***** assert (isequal(s, ['####'; '####'; '####'; '####'])) ***** test s = stk_sprintf_colvect_scientific (x, 5); ***** assert (isequal(s, ['9e-01'; '9e-01'; '1e+00'; '1e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 6); ***** assert (isequal(s, ['9e-01'; '9e-01'; '1e+00'; '1e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 7); ***** assert (isequal(s, ['9.0e-01'; '9.1e-01'; '9.9e-01'; '1.0e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 8); ***** assert (isequal(s, ['9.00e-01'; '9.10e-01'; '9.90e-01'; '9.99e-01'])) ***** shared x, s x = [0.9; -0.91; 0.99; 0.999]; ***** test s = stk_sprintf_colvect_scientific (x, 4); ***** assert (isequal(s, ['####'; '####'; '####'; '####'])) ***** test s = stk_sprintf_colvect_scientific (x, 5); ***** assert (isequal(s, ['#####'; '#####'; '#####'; '#####'])) ***** test s = stk_sprintf_colvect_scientific (x, 6); ***** assert (isequal(s, [' 9e-01'; '-9e-01'; ' 1e+00'; ' 1e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 7); ***** assert (isequal(s, [' 9e-01'; '-9e-01'; ' 1e+00'; ' 1e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 8); ***** assert (isequal(s, [' 9.0e-01'; '-9.1e-01'; ' 9.9e-01'; ' 1.0e+00'])) ***** test x = [1e6; -1e10; 1e-221]; s = stk_sprintf_colvect_scientific(x, 10); assert(isequal(s, [' 1e+006'; '-1e+010'; ' 1e-221'])); 41 tests, 41 passed, 0 known failure, 0 skipped [inst/misc/text/stk_sprintf_colvect_fixedpoint.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_sprintf_colvect_fixedpoint.m ***** shared x, s x = [1.2; 3.48]; ***** test s = stk_sprintf_colvect_fixedpoint(x, 1); ***** assert (isequal(s, ['1'; '3'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 2); ***** assert (isequal(s, ['1'; '3'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 3); ***** assert (isequal(s, ['1.2'; '3.5'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 4); ***** assert (isequal(s, ['1.20'; '3.48'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 5); ***** assert (isequal(s, ['1.20'; '3.48'])) ***** shared x, s x = [1.2; -3.48]; ***** test s = stk_sprintf_colvect_fixedpoint(x, 1); ***** assert (isequal(s, ['#'; '#'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 2); ***** assert (isequal(s, [' 1'; '-3'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 3); ***** assert (isequal(s, [' 1'; '-3'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 4); ***** assert (isequal(s, [' 1.2'; '-3.5'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 5); ***** assert (isequal(s, [' 1.20'; '-3.48'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 6); ***** assert (isequal(s, [' 1.20'; '-3.48'])) ***** shared x, s x = [0.2; 0.48]; ***** test s = stk_sprintf_colvect_fixedpoint(x, 1); ***** assert (isequal(s, ['0'; '0'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 2); ***** assert (isequal(s, ['0'; '0'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 3); ***** assert (isequal(s, ['0.2'; '0.5'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 4); ***** assert (isequal(s, ['0.20'; '0.48'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 5); ***** assert (isequal(s, ['0.20'; '0.48'])) 32 tests, 32 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_length.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_length.m ***** assert (isequal (stk_length ([1 2; 3 4; 5 6]), 3)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_feval.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_feval.m ***** shared f, xt f = @(x)(- (0.7 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); xt = stk_sampling_regulargrid (20, 1, [0; 1]); ***** error yt = stk_feval (); ***** error yt = stk_feval (f); ***** test yt = stk_feval (f, xt); ***** test yt = stk_feval (f, xt, false); ***** test yt = stk_feval (f, xt, false, false); ***** test yt = stk_feval (f, xt, false, false, false); ***** test N = 15; xt = stk_sampling_regulargrid (N, 1, [0; 1]); yt = stk_feval (f, xt); assert (isequal (size (yt), [N 1])); ***** test x = stk_dataframe ([1; 2; 3], {'x'}, {'a'; 'b'; 'c'}); y = stk_feval (@(u)(2 * u), x); assert (isequal (y.data, [2; 4; 6])); assert (isequal (y.rownames, {'a'; 'b'; 'c'})); ***** shared t, z_ref, n n = 20; t = stk_sampling_regulargrid (n, 1, [0; 2*pi]); z_ref = [sin(t.data) cos(t.data)]; ***** test t.colnames = {'time'}; z = stk_feval ({@sin, @cos}, t); assert (isa (z, 'stk_dataframe')); assert (isequal (z.data, z_ref)); ***** test F = @(x)([sin(x) cos(x)]); z = stk_feval (F, t); assert (isequal (z.data, z_ref)); ***** test t = stk_sampling_regulargrid (n, 1, [0; 2*pi]); F = {'sin', 'cos'}; z = stk_feval (F, t); assert (isequal (z.data, [sin(t.data) cos(t.data)])); assert (isequal (z.colnames, {'sin' 'cos'})); ***** test % vectorized F = @(t)([sin(t) cos(t)]); G = @(t)(0.365 * t.^2 + (cos ((t - 1).*(t - 2) + 0.579033))); z = stk_feval ({@sin, @cos, G, F, 'tan'}, t); assert (isequal (z.colnames, {'sin' 'cos' 'F3' 'F4_1' 'F4_2' 'tan'})); ***** test % not vectorized F = @(t)([sin(t) cos(t)]); G = @(t)(0.365 * t^2 + (cos ((t - 1)*(t - 2) + 0.579033))); z = stk_feval ({@sin, @cos, G, F, 'tan'}, t, [], [], false); assert (isequal (z.colnames, {'sin' 'cos' 'F3' 'F4_1' 'F4_2' 'tan'})); 13 tests, 13 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_rescale.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_rescale.m ***** shared x x = rand (10, 4); y = stk_rescale (x, [], []); assert (stk_isequal_tolabs (x, y)); ***** test y = stk_rescale(0.5, [], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 1], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 2], []); assert (stk_isequal_tolabs (y, 0.25)); ***** test y = stk_rescale (0.5, [0; 2], [0; 1]); assert (stk_isequal_tolabs (y, 0.25)); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_get_sample_size.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_get_sample_size.m ***** assert (stk_get_sample_size ([1 2; 3 4; 5 6]) == 3); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_normalize.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_normalize.m ***** shared x, box, y1, y2, y3, y4 n = 5; box = [2; 3]; x = box(1) + diff (box) * rand (n, 1); ***** error y1 = stk_normalize (); ***** test y2 = stk_normalize (x); ***** test y3 = stk_normalize (x, box); ***** test assert (~ any ((y2 < -10 * eps) | (y2 > 1 + 10 * eps))); ***** test assert (~ any ((y3 < -10 * eps) | (y3 > 1 + 10 * eps))); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_boundingbox.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_boundingbox.m ***** shared x, y, cn cn = {'a', 'b', 'c'}; x = [0 3 2; 1 4 1; 7 0 2]; ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y.data, [0 0 1; 7 4 2])); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/fieldnames.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/fieldnames.m ***** test x = stk_factorialdesign ({0:1, 3:5}, {'u' 'v'}); fn1 = sort (fieldnames (x)); fn2 = {'colnames'; 'data'; 'info'; 'levels'; ... 'rownames'; 'sample_size'; 'stk_dataframe'; 'u'; 'v'}; assert (isequal (fn1, fn2)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/uminus.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/uminus.m ***** test x = stk_factorialdesign ({1:3, 1:2}); y = stk_factorialdesign ({-(1:3), -(1:2)}); assert (isequal (-x, y)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/ndgrid.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/ndgrid.m ***** shared data data = stk_factorialdesign ({[0 1], [5 6 7]}); ***** test % nargout = 0 ndgrid (data); assert (isequal (ans, [0 0 0; 1 1 1])); ***** test % nargout = 1 x = ndgrid (data); assert (isequal (x, [0 0 0; 1 1 1])); ***** test % nargout = 2 [x, y] = ndgrid (data); assert (isequal ({x, y}, {[0 0 0; 1 1 1], [5 6 7; 5 6 7]})); ***** error % nargout = 3 [x, y, z] = ndgrid (data); ***** test data = stk_factorialdesign ({[], []}); [x, y] = ndgrid (data); assert (isequal ({x, y}, {[], []})); ***** test data = stk_factorialdesign ({[1:3]}); x = ndgrid (data); assert (isequal (x, [1; 2; 3])); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_rescale.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_rescale.m ***** test x = stk_factorialdesign ({[1 2], [5 6]}); y = stk_factorialdesign ({[0 3], [0 3]}); z = stk_rescale (x, [1 5; 2 6], [0 0; 3 3]); assert (stk_isequal_tolabs (y, z)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_factorialdesign.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_factorialdesign.m ***** test stk_test_class ('stk_factorialdesign') ***** test % constructor with two factors + column names x = stk_factorialdesign ({[0 1], [1 2 3]}, {'a', 'b'}); assert (isequal(x.colnames, {'a', 'b'})); assert (isequal(get (x, 'colnames'), {'a', 'b'})); ***** error stk_factorialdesign ('bouh'); ***** error stk_factorialdesign ({{'a' 'b'}}); ***** shared x, fmt fmt = stk_disp_getformat (); x = stk_sampling_regulargrid (3^2, 2); ***** test format rat; disp (x); : --- --- * : 0.0 0.0 * : 0.5 0.0 * : 1.0 0.0 * : 0.0 0.5 * : 0.5 0.5 * : 1.0 0.5 * : 0.0 1.0 * : 0.5 1.0 * : 1.0 1.0 ***** test format long; disp (x); : --- --- * : 0.0 0.0 * : 0.5 0.0 * : 1.0 0.0 * : 0.0 0.5 * : 0.5 0.5 * : 1.0 0.5 * : 0.0 1.0 * : 0.5 1.0 * : 1.0 1.0 ***** test format short; disp (x); format (fmt); : --- --- * : 0.0 0.0 * : 0.5 0.0 * : 1.0 0.0 * : 0.0 0.5 * : 0.5 0.5 * : 1.0 0.5 * : 0.0 1.0 * : 0.5 1.0 * : 1.0 1.0 ***** test disp (stk_sampling_regulargrid (0^1, 1)); Empty data frame with 0 rows and 0 columns ***** test disp (stk_sampling_regulargrid (0^2, 2)); Empty data frame with 0 rows and 0 columns ***** test display (x); x = <9x2 stk_factorialdesign array> : --- --- * : 0.0 0.0 * : 0.5 0.0 * : 1.0 0.0 * : 0.0 0.5 * : 0.5 0.5 * : 1.0 0.5 * : 0.0 1.0 * : 0.5 1.0 * : 1.0 1.0 ***** error length (stk_sampling_regulargrid (7^2, 2)) % not defined ***** shared x x = stk_factorialdesign ({[0 1], [0 1]}); ***** assert (isequal (x(2:end, :), x(2:4, :))) ***** assert (isequal (x(2, 1:end), x(2, :))) ***** assert (isequal (x(2:end, 2:end), x(2:4, 2))) ***** error x(1:end, 1:end, 1:end) ***** shared x, y x = stk_sampling_regulargrid (3^2, 2); y = x; ***** test %%%% vercat z = vertcat (x, y); assert (strcmp (class (z), 'stk_dataframe')); assert (isequal (double (z), [double(x); double(y)])); ***** test %%%% same thing, using cat(1, ...) z = cat (1, x, y); assert (strcmp (class (z), 'stk_dataframe')); assert (isequal (double (z), [double(x); double(y)])); ***** test %%%% horzcat y.colnames = {'y1' 'y2'}; z = horzcat (x, y); assert (strcmp (class (z), 'stk_dataframe')); assert (isequal (double (z), [double(x) double(y)])); ***** test %%%% same thing, using cat (2, ...) z = cat (2, x, y); assert (strcmp (class (z), 'stk_dataframe')); assert (isequal (double (z), [double(x) double(y)])); ***** error cat (3, x, y) ***** shared x, t x = stk_sampling_regulargrid (3^2, 2); t = double (x); ***** assert (isequal (apply (x, 1, @sum), sum (t, 1))) ***** assert (isequal (apply (x, 2, @sum), sum (t, 2))) ***** error u = apply (x, 3, @sum); ***** assert (isequal (apply (x, 1, @min, []), min (t, [], 1))) ***** assert (isequal (apply (x, 2, @min, []), min (t, [], 2))) ***** error u = apply (x, 3, @min, []); ***** assert (isequal (min (x), min (t))) ***** assert (isequal (max (x), max (t))) ***** assert (isequal (std (x), std (t))) ***** assert (isequal (var (x), var (t))) ***** assert (isequal (sum (x), sum (t))) ***** assert (isequal (mean (x), mean (t))) ***** assert (isequal (mode (x), mode (t))) ***** assert (isequal (prod (x), prod (t))) ***** assert (isequal (median (x), median (t))) ***** shared x1, x2, x3, u1, u2, u3 x1 = stk_sampling_regulargrid ([4 3], 2); u1 = double (x1); x2 = stk_sampling_regulargrid ([3 4], 2); u2 = double (x2); x3 = x1 + 1; u3 = u1 + 1; ***** test z = bsxfun (@plus, x1, u2); assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) ***** test z = bsxfun (@plus, u1, x2); assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) ***** test z = bsxfun (@plus, x1, x2); assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) ***** test z = min (x1, x2); assert (isequal (double (z), min (u1, u2))); ***** test z = max (x1, x2); assert (isequal (double (z), max (u1, u2))); ***** error z = min (x1, x2, 1); ***** error z = max (x1, x2, 1); ***** test z = x1 + x2; assert (isequal (double (z), u1 + u2)); ***** test z = x1 - x2; assert (isequal (double (z), u1 - u2)); ***** test z = x1 .* x2; assert (isequal (double (z), u1 .* u2)); ***** test z = x3 .\ x2; assert (isequal (double (z), u3 .\ u2)); ***** test z = x2 ./ x3; assert (isequal (double (z), u2 ./ u3)); ***** test z = x3 .^ x2; assert (isequal (double (z), u3 .^ u2)); ***** test z = realpow (x3, x2); assert (isequal (double (z), realpow (u3, u2))); ***** test z = (x1 == x2); assert (isequal (double (z), (u1 == u2))); ***** test z = (x1 ~= x2); assert (isequal (double (z), (u1 ~= u2))); ***** test z = (x1 <= x2); assert (isequal (double (z), (u1 <= u2))); ***** test z = (x1 >= x2); assert (isequal (double (z), (u1 >= u2))); ***** test z = (x1 < x2); assert (isequal (double (z), (u1 < u2))); ***** test z = (x1 > x2); assert (isequal (double (z), (u1 > u2))); ***** test z = x1 & x2; assert (isequal (double (z), u1 & u2)); ***** test z = x1 | x2; assert (isequal (double (z), u1 | u2)); ***** test z = xor (x1, x2); assert (isequal (double (z), xor (u1, u2))); ***** shared x x = stk_factorialdesign ({[0 1], [0 1 2]}); ***** assert (strcmp (class (x'), 'stk_dataframe')) ***** assert (strcmp (class (x.'), 'stk_dataframe')) 60 tests, 60 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/ismember.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/ismember.m ***** shared A, B, BB, b i_max = 10; n = 100; d = 5; A = randi (i_max, n, d); levels = repmat ({1:i_max}, 1, d); levels{4} = 1:2:i_max; B = stk_factorialdesign (levels); BB = double (B); ***** test b = ismember (A, B); ***** assert (isequal (b, ismember (A, BB))); ***** test b = ismember (A, B, 'rows'); ***** assert (isequal (b, ismember (A, BB, 'rows'))); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_normalize.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_normalize.m ***** test x = stk_factorialdesign ({[1 2], [5 6]}); y = stk_factorialdesign ({[0 1], [0 1]}); assert (stk_isequal_tolabs (stk_normalize (x), y)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_dataframe.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_dataframe.m ***** shared x, cn, rn, y, cn2, rn2 cn = {'x' 'y'}; rn = {'a'; 'b'; 'c'; 'd'}; x = stk_factorialdesign ({1:2, 1:2}, cn, rn); cn2 = {'xx' 'yy'}; rn2 = {'aa'; 'bb'; 'cc'; 'dd'}; ***** test y = stk_dataframe (x); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, [], rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, {}, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, {})) ***** assert (isequal (y.rownames, rn2)) 20 tests, 20 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_boundingbox.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_boundingbox.m ***** shared x, y, cn cn = {'a', 'b', 'c'}; x = stk_factorialdesign ({[1 2], [3 4 5], [0 2 8]}, cn); ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y, stk_hrect ([1 3 0; 2 5 8], cn))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mrdivide.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mrdivide.m ***** test x1_data = [8 7; 58 49]; x1 = stk_dataframe (x1_data, {'x' 'y'}, {'a'; 'b'}); x2_data = [8 7; 2 0]; x2 = stk_dataframe (x2_data, {'x' 'y'}, {'u'; 'v'}); y = x1 / x2; assert (stk_isequal_tolabs (y, ... stk_dataframe ([1 0; 7 1], {'u'; 'v'}, {'a'; 'b'}))); ***** shared x_data, x, y_data, y x_data = [3 3; 6 3; 9 12]; y_data = [1 1; 2 1; 3 4]; x = stk_dataframe (x_data, {'x' 'y'}, {'a'; 'b'; 'c'}); ***** test y = x / 3; ***** assert (isequal (y, stk_dataframe ([1 1; 2 1; 3 4], {'x' 'y'}, {'a'; 'b'; 'c'}))); ***** error y = 3 / x; 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/tanh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/tanh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = tanh (x); assert (strcmp (class (v), class (u)) && isequal (v, tanh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/log1p.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log1p.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = log1p (x); assert (strcmp (class (v), class (u)) && isequal (v, log1p (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/atand.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/atand.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = atand (x); assert (strcmp (class (v), class (u)) && isequal (v, atand (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/fieldnames.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/fieldnames.m ***** test x = stk_dataframe (rand (3, 2), {'u' 'v'}); assert (isequal (sort (fieldnames (x)), ... {'colnames'; 'data'; 'info'; 'rownames'; 'sample_size'; 'u'; 'v'})); ***** test x = stk_dataframe (rand (3, 2)); x.rownames(2:3) = {'aa', 'bb'}; x.colnames{2} = 'toto'; assert (isequal (fieldnames (x), ... {'toto'; 'aa'; 'bb'; 'data'; 'info'; ... 'rownames'; 'colnames'; 'sample_size'})); 2 tests, 2 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/abs.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/abs.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = abs (x); assert (strcmp (class (v), class (u)) && isequal (v, abs (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/plot.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/plot.m ***** test % plot with x as a vector and z as a (univariate) dataframe x = linspace(0, 2*pi, 30)'; z = stk_dataframe(sin(x)); figure; plot(x, z); close(gcf); warning: using the gnuplot graphics toolkit is discouraged The gnuplot graphics toolkit is not actively maintained and has a number of limitations that are unlikely to be fixed. Communication with gnuplot uses a one-directional pipe and limited information is passed back to the Octave interpreter so most changes made interactively in the plot window will not be reflected in the graphics properties managed by Octave. For example, if the plot window is closed with a mouse click, Octave will not be notified and will not update its internal list of open figure windows. The qt toolkit is recommended instead. ***** test % plot with x as a vector and z as a (multivariate) dataframe x = linspace(0, 2*pi, 30)'; z = stk_dataframe([sin(x) cos(x)], {'sin' 'cos'}); figure; plot(x, z); close(gcf); ***** test % plot with x as a dataframe and z as a vector x = stk_dataframe(linspace(0, 2*pi, 30)'); z = sin(double(x)); figure; plot(x, z); close(gcf); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/atanh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/atanh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = atanh (x); assert (strcmp (class (v), class (u)) && isequal (v, atanh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/plus.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/plus.m ***** test stk_test_dfbinaryop(@plus, rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop(@plus, rand(7, 2), pi); ***** error stk_test_dfbinaryop(@plus, rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/acosh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/acosh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = acosh (x); assert (strcmp (class (v), class (u)) && isequal (v, acosh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/transpose.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/transpose.m ***** test u = rand(3, 2) + 1i * rand(3, 2); data = stk_dataframe(u, {'x' 'y'}, {'obs1'; 'obs2'; 'obs3'}); data = data.'; assert (isa(data, 'stk_dataframe') && isequal(double(data), u.')); assert (isequal(data.rownames, {'x'; 'y'})); assert (isequal(data.colnames, {'obs1' 'obs2' 'obs3'})); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/var.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/var.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (var(df1), var(x1))) ***** assert (isequal (var(df1, 0, 1), var(x1))) ***** assert (isequal (var(df1, 0, 2), var(x1, 0, 2))) ***** assert (isequal (var(df1, 1), var(x1, 1))) ***** assert (isequal (var(df1, 1, 1), var(x1, 1))) ***** assert (isequal (var(df1, 1, 2), var(x1, 1, 2))) 6 tests, 6 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/subsref.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/subsref.m ***** shared x, s, t, data x = stk_dataframe(rand(3, 2)); s = {'a'; 'b'; 'c'}; t = {'xx' 'yy'}; ***** test x = set(x, 'rownames', s); assert (isequal (x.rownames, s)) assert (isequal (x.rownames{2}, 'b')) ***** test x = set(x, 'colnames', t); assert (isequal (x.rownames, s)) assert (isequal (x.colnames, t)) assert (isequal (x.colnames{2}, 'yy')) ***** shared u, data u = rand(3, 2); data = stk_dataframe(u, {'x1', 'x2'}); ***** assert (isequal (data.x2, u(:, 2))) ***** assert (data.x2(3) == u(3, 2)) ***** error t = data.toto; ***** error t = data(1, 1).zzz; % illegal multilevel indexing ***** error t = data(1, 1, 1); % too many indices ***** error t = data{1}; % curly braces not allowed ***** test % select rows and columns x = stk_dataframe (reshape (1:15, 5, 3), {'u' 'v' 'w'}); assert (isequal (x([3 5], 2), stk_dataframe ([8; 10], {'v'}))); ***** shared u, data u = rand(3, 1); data = stk_dataframe(u, {'x'}); ***** assert (isequal (data.x, u)) ***** assert (isequal (double (data), u)) ***** assert (isequal (double (data(2)), u(2))) ***** assert (isequal (double (data(3, 1)), u(3))) ***** error t = data(1, 1, 1); % too many indices ***** test x = stk_dataframe (randn (2, 2), {'u' 'v'}); y = x ([], :); assert (isa (y, 'stk_dataframe')); assert (isequal (size (y), [0 2])); assert (isequal (y.colnames, {'u' 'v'})); ***** test x = stk_dataframe (randn (2, 2), [], {'a' 'b'}); y = x (:, []); assert (isa (y, 'stk_dataframe')); assert (isequal (size (y), [2 0])); assert (isequal (y.rownames, {'a'; 'b'})); 16 tests, 16 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/std.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/std.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (std(df1), std(x1))) ***** assert (isequal (std(df1, 0, 1), std(x1))) ***** assert (isequal (std(df1, 0, 2), std(x1, 0, 2))) ***** assert (isequal (std(df1, 1), std(x1, 1))) ***** assert (isequal (std(df1, 1, 1), std(x1, 1))) ***** assert (isequal (std(df1, 1, 2), std(x1, 1, 2))) 6 tests, 6 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/length.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/length.m ***** error length (stk_dataframe ([1 2; 3 4; 5 6])) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/asind.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/asind.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = asind (x); assert (strcmp (class (v), class (u)) && isequal (v, asind (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/isinf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/isinf.m ***** test u = [pi, NaN, Inf, -Inf]; x = stk_dataframe (u); v = isinf (x); assert (islogical (v) && isequal (v, isinf (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/log.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = log (x); assert (strcmp (class (v), class (u)) && isequal (v, log (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/subsasgn.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/subsasgn.m ***** shared x, s, t, data x = stk_dataframe (rand (3, 2)); s = {'a'; 'b'; 'c'}; t = {'xx' 'yy'}; ***** test x.rownames = s; assert (isequal (get (x, 'rownames'), s)) ***** test x.colnames = t; assert (isequal (get (x, 'rownames'), s)) assert (isequal (get (x, 'colnames'), t)) ***** test x.rownames{2} = 'dudule'; assert (isequal (get (x, 'rownames'), {'a'; 'dudule'; 'c'})) assert (isequal (get (x, 'colnames'), t)) ***** test x.colnames{1} = 'martha'; assert (isequal (get (x, 'rownames'), {'a'; 'dudule'; 'c'})) assert (isequal (get (x, 'colnames'), {'martha' 'yy'})) ***** test data = stk_dataframe (zeros(3, 2), {'x1' 'x2'}); u = rand(3, 1); data.x2 = u; assert (isequal (double (data), [zeros(3, 1) u])) ***** test data = stk_dataframe (zeros (3, 2), {'x1' 'x2'}); data.x2(3) = 27; assert (isequal (double (data), [0 0; 0 0; 0 27])) ***** error data.toto = rand (3, 1); ***** shared x x = stk_dataframe (reshape (1:12, 4, 3), {'u' 'v' 'w'}); ***** test x(:, 2) = []; assert (isequal (size (x), [4 2])) assert (isequal (double (x), [1 9; 2 10; 3 11; 4 12])) assert (isequal (get (x, 'colnames'), {'u' 'w'})) assert (isempty (get (x, 'rownames'))) ***** test x(2, :) = []; assert (isequal (size (x), [3 2])) assert (isequal (double (x), [1 9; 3 11; 4 12])) assert (isempty (get (x, 'rownames'))) ***** test x.rownames = {'a'; 'b'; 'c'}; x(2, :) = []; assert (isequal (size (x), [2 2])) assert (isequal (double (x), [1 9; 4 12])) assert (isequal (x.rownames, {'a'; 'c'})) ***** test % change one value with matrix-style indexing x(1, 2) = 11; assert (isequal (size (x), [2 2])) assert (isequal (double (x), [1 11; 4 12])) ***** test % change one value with linear indexing x(3) = 13; assert (isequal (size (x), [2 2])) assert (isequal (double (x), [1 13; 4 12])) ***** assert (isequal (double (x(:, :)), [1 13; 4 12])); ***** test % assignment to a variable that doesn't exist A = stk_dataframe (7.1); clear B; B(2) = A; assert (strcmp (class (B), 'stk_dataframe')) assert (isequal (B.data, [0 7.1])); ***** test % repmat x = stk_dataframe (1); y = repmat (x, 2, 3); assert (isa (y, 'stk_dataframe')); assert (isequal (y.data, ones (2, 3))); ***** test x(:, :) = []; assert (isempty (x)); ***** test % Delete the only row of a one-row dataframe y1 = stk_dataframe ([1.2 3.33], {'mean', 'var'}); y1(1, :) = []; % Remove the only row of data assert (isequal (size (y1), [0 2])) assert (isequal (y1.colnames, {'mean', 'var'})) y11 = get (y1, 'mean'); assert (isempty (y11)); ***** error x{1} = 2; ***** error x(1, 2) = []; ***** error x(1, 2).a = 3; ***** shared x x = stk_dataframe((1:5)'); ***** test x(2) = 0; assert (isequal (double (x), [1; 0; 3; 4; 5])); ***** test x(3) = []; assert (isequal (double (x), [1; 0; 4; 5])); ***** test x(3, 1) = 0; assert (isequal(double(x), [1; 0; 0; 5])); ***** error x(3, 1, 1) = 297; ***** test % create a new row and a new column through subsasgn() x = stk_dataframe (rand (5, 2)); x(6, 3) = 7; assert(isequal(size(x), [6, 3])); ***** test x = stk_dataframe ([]); x.colnames{2} = 'v'; x.rownames{2} = 'b'; assert (isequal (x.rownames, {''; 'b'})); assert (isequal (x.colnames, {'' 'v'})); assert (isequal (size (x.data), [2 2]) && (all (isnan (x.data(:))))) ***** shared x x = stk_dataframe (reshape (1:12, 4, 3), {'u' 'v' 'w'}); ***** test % change one column using ':', plain numeric argument y = [0; 9; 0; 9]; z = x; z(:, 2) = y; assert (isequal (z(:, 1), x(:, 1))); assert (isequal (z(:, 2).data, y)); ***** test % change one column using ':', skt_dataframe argument y = stk_dataframe ([0; 9; 0; 9], {'y'}); z = x; z(:, 2) = y; assert (isequal (z(:, 1), x(:, 1))); assert (isequal (z(:, 2), y)); ***** shared x x = stk_dataframe (reshape (1:12, 4, 3), [], {'a'; 'b'; 'c'; 'd'}); ***** test % change one row using ':', plain numeric argument y = [7 7 7]; z = x; z(3, :) = y; assert (isequal (z(1, :), x(1, :))); assert (isequal (z(3, :).data, y)); ***** test % change one row using ':', skt_dataframe argument y = stk_dataframe ([7 7 7], [], {'y'}); z = x; z(3, :) = y; assert (isequal (z(1, :), x(1, :))); assert (isequal (z(3, :), y)); ***** shared x x = stk_dataframe (zeros (2), {'u' 'v'}); ***** test % first column x(1:2) = 1; y = stk_dataframe ([1 0; 1 0], {'u' 'v'}); assert (isequal (x, y)); ***** test % one more element x(1:3) = 2; y = stk_dataframe ([2 2; 2 0], {'u' 'v'}); assert (isequal (x, y)); ***** error % too many elements x(1:5) = 3; ***** shared x x = stk_dataframe (randn (3, 3)); ***** test x.colnames{2} = 'y'; ***** assert (isequal (x.colnames, {'' 'y' ''})); ***** test x.rownames{2} = 'b'; ***** assert (isequal (x.rownames, {''; 'b'; ''})); 37 tests, 37 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sinh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sinh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = sinh (x); assert (strcmp (class (v), class (u)) && isequal (v, sinh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/tand.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/tand.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = tand (x); assert (strcmp (class (v), class (u)) && isequal (v, tand (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mtimes.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mtimes.m ***** shared x, y, z, w u = [1 3 4; 2 7 6]; % 2 x 3 v = [6 2; 1 7; 9 4]; % 3 x 2 w = [45 39; 73 77]; % u * v x = stk_dataframe (u, {}, {'a'; 'b'}); y = stk_dataframe (v, {'c' 'd'}); z = x * y; ***** assert (isa (z, 'stk_dataframe')); ***** assert (isequal (z.data, w)); ***** assert (isequal (z.rownames, x.rownames)); ***** assert (isequal (z.colnames, y.colnames)); ***** shared x, y x = stk_dataframe (rand (3, 2), {'x' 'y'}, {'a'; 'b'; 'c'}); ***** test y = 3 * x; ***** assert (isequal (y, stk_dataframe (3 * x.data, {'x' 'y'}, {'a'; 'b'; 'c'}))); ***** test y = x * 3; ***** assert (isequal (y, stk_dataframe (3 * x.data, {'x' 'y'}, {'a'; 'b'; 'c'}))); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/horzcat.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/horzcat.m ***** shared u, v u = rand(3, 2); v = rand(3, 2); ***** test x = stk_dataframe(u, {'x1' 'x2'}); y = stk_dataframe(v, {'y1' 'y2'}); z = horzcat (x, y); assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); ***** test x = stk_dataframe(u, {'x1' 'x2'}, {'a'; 'b'; 'c'}); y = stk_dataframe(v, {'y1' 'y2'}); z = horzcat (x, y); assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); assert(all(strcmp(z.rownames, {'a'; 'b'; 'c'}))); ***** test x = stk_dataframe(u, {'x1' 'x2'}); y = stk_dataframe(v, {'y1' 'y2'}, {'a'; 'b'; 'c'}); z = horzcat (x, y); assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); assert(all(strcmp(z.rownames, {'a'; 'b'; 'c'}))); ***** test % incompatible row names x = stk_dataframe (u, {'x1' 'x2'}, {'a'; 'b'; 'c'}); y = stk_dataframe (v, {'y1' 'y2'}, {'a'; 'b'; 'd'}); z = horzcat (x, y); assert (isequal (z.rownames, {})); warning: Incompatible row names ! The output of horzcat will have no row names. warning: called from horzcat at line 73 column 9 __test__ at line 5 column 4 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 926 column 31 ***** test x = stk_dataframe (u); z = horzcat (x, v); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u v])); ***** test y = stk_dataframe (v); z = horzcat (u, y); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u v])); ***** test x = stk_dataframe(u, {'x1' 'x2'}); y = stk_dataframe(v, {'y1' 'y2'}); z = horzcat (x, y, u, v); assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v u v])); 7 tests, 7 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/double.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/double.m ***** test u = rand(4, 3); x = stk_dataframe(u); v = double(x); assert (strcmp(class(v), 'double') && isequal(v, u)) ***** test u = (rand(4, 3) < 0.5); x = stk_dataframe(u); v = double(x); assert (strcmp(class(v), 'double') && isequal(v, double(u))) ***** test u = uint8 (rand (4, 3) * 5); x = stk_dataframe(u); v = double(x); assert (strcmp(class(v), 'double') && isequal(v, double(u))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mode.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mode.m ***** shared x1, df1 x1 = floor(3 * rand(9, 3)); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (mode(df1), mode(x1))) ***** assert (isequal (mode(df1, 1), mode(x1))) ***** assert (isequal (mode(df1, 2), mode(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/cat.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cat.m ***** shared u, v, x, y u = rand(3, 2); v = rand(3, 2); x = stk_dataframe(u); y = stk_dataframe(v); ***** test % vertical z = cat(1, x, y); assert(isa(z, 'stk_dataframe')); assert(isequal(double(z), [u; v])); ***** error z = cat(3, x, y); ***** test % horizontal y = stk_dataframe(v, {'y1' 'y2'}); z = cat(2, x, y); assert(isa(z, 'stk_dataframe')); assert(isequal(double(z), [u v])); assert(all(strcmp(z.colnames, {'' '' 'y1' 'y2'}))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_length.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_length.m ***** test x = stk_dataframe ([1 2; 3 4; 5 6]); assert (isequal (stk_length (x), 3)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/asinh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/asinh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = asinh (x); assert (strcmp (class (v), class (u)) && isequal (v, asinh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/logical.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/logical.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = logical (x); assert (strcmp (class(v), 'logical') && isequal (v, logical (u))) ***** test u = (rand (4, 3) < 0.5); x = stk_dataframe (u); v = logical (x); assert (strcmp (class (v), 'logical') && isequal (v, u)) ***** test u = uint8 (rand (4, 3) * 5); x = stk_dataframe (u); v = logical (x); assert (strcmp (class (v), 'logical') && isequal (v, logical (u))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sum.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sum.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (sum(df1), sum(x1))) ***** assert (isequal (sum(df1, 1), sum(x1))) ***** assert (isequal (sum(df1, 2), sum(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/realpow.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/realpow.m ***** test stk_test_dfbinaryop(@realpow, rand(7, 2), .1 + rand(7, 2)); ***** test stk_test_dfbinaryop(@realpow, rand(7, 2), .1); ***** error stk_test_dfbinaryop(@realpow, rand(7, 2), .1 + rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_rescale.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_rescale.m ***** test u = rand(5, 1) * 2; x = stk_dataframe(u); y = stk_rescale(x, [0; 2], [0; 3]); assert (isa (y, 'stk_dataframe') && isequal(double(y), u * 3/2)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/acos.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/acos.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = acos (x); assert (strcmp (class (v), class (u)) && isequal (v, acos (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/median.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/median.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (median(df1), median(x1))) ***** assert (isequal (median(df1, 1), median(x1))) ***** assert (isequal (median(df1, 2), median(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/log10.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log10.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = log10 (x); assert (strcmp (class (v), class (u)) && isequal (v, log10 (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/reshape.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/reshape.m ***** test x = stk_dataframe (randn (10, 3)); y = reshape (x, 5, 6); assert (isa (y, 'stk_dataframe') && isequal (size (y), [5 6])) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/quantile.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/quantile.m ***** shared x1, df1, p x1 = rand (9, 3); df1 = stk_dataframe (x1, {'a', 'b', 'c'}); p = 0.95; ***** assert (isequal (quantile (df1, p), quantile (x1, p))) ***** assert (isequal (quantile (df1, p, 1), quantile (x1, p))) ***** assert (isequal (quantile (df1, p, 2), quantile (x1, p, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/atan.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/atan.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = atan (x); assert (strcmp (class (v), class (u)) && isequal (v, atan (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_get_sample_size.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_get_sample_size.m ***** test x = stk_dataframe ([1 2; 3 4; 5 6]); assert (isequal (stk_get_sample_size (x), 3)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/isnan.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/isnan.m ***** test u = [pi, NaN, Inf, -Inf]; x = stk_dataframe (u); v = isnan (x); assert (islogical (v) && isequal (v, isnan (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sort.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sort.m ***** shared x, y x = stk_dataframe ([3; 2; 1], {}, {'a', 'b', 'c'}); y = sort (x); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.data, [1; 2; 3])) ***** assert (isequal (y.rownames, {'c'; 'b'; 'a'})) ***** error y = sort (x, []); ***** assert (isequal (sort (x, 1), y)) ***** assert (isequal (sort (x, 2), x)) ***** error sort (x, 3) ***** error y = sort (x, [], 'ascend'); ***** assert (isequal (sort (x, 1, 'ascend'), y)) ***** assert (isequal (sort (x, 2, 'ascend'), x)) ***** error y = sort (x, 3, 'ascend'); ***** error y = sort (x, [], 'descend'); ***** assert (isequal (sort (x, 1, 'descend'), x)) ***** assert (isequal (sort (x, 2, 'descend'), x)) ***** error sort (x, 3, 'descend') 15 tests, 15 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sqrt.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sqrt.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = sqrt (x); assert (strcmp (class (v), class (u)) && isequal (v, sqrt (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mldivide.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mldivide.m ***** test x1_data = [57 7; 2 0]; x1 = stk_dataframe (x1_data, {'x' 'y'}, {'a'; 'b'}); x2_data = [8 7; 2 0]; x2 = stk_dataframe (x2_data, {'w' 'z'}, {'a'; 'b'}); y = x2 \ x1; assert (stk_isequal_tolabs (y, ... stk_dataframe ([1 0; 7 1], {'x'; 'y'}, {'w'; 'z'}))); ***** shared x_data, x, y_data, y x_data = [3 3; 6 3; 9 12]; y_data = [1 1; 2 1; 3 4]; x = stk_dataframe (x_data, {'x' 'y'}, {'a'; 'b'; 'c'}); ***** test y = 3 \ x; ***** assert (isequal (y, stk_dataframe (y_data, {'x' 'y'}, {'a'; 'b'; 'c'}))); ***** error y = x \ 3; 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sin.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sin.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = sin (x); assert (strcmp (class (v), class (u)) && isequal (v, sin (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/apply.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/apply.m ***** shared x, t, u t = rand (3, 2); x = stk_dataframe (t); ***** test u = apply (x, 1, @sum); ***** assert (isequal (u, sum (t, 1))) ***** test u = apply (x, 2, @sum); ***** assert (isequal (u, sum (t, 2))) ***** error u = apply (x, 3, @sum); ***** test u = apply (x, 1, @min, []); ***** assert (isequal (u, min (t, [], 1))) ***** test u = apply (x, 2, @min, []); ***** assert (isequal (u, min (t, [], 2))) ***** error u = apply (x, 3, @min, []); ***** test t = [1; 3; 2]; x = stk_dataframe (t); [M, k] = apply (x, 1, @max, []); assert ((M == 3) && (k == 2)); 11 tests, 11 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/unique.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/unique.m ***** test cn = {'u' 'v' 'w'}; x = stk_dataframe (rand (4, 3), cn); y = [x; x]; z = unique (y, 'rows'); assert (isequal (z.colnames, cn)); assert (isequal (z.data, unique (x.data, 'rows'))); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/cos.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cos.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = cos (x); assert (strcmp (class (v), class (u)) && isequal (v, cos (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/ismember.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/ismember.m ***** shared u, x, u1, x1, u2, x2 u = rand (10, 4); x = stk_dataframe (u); x1 = x(1, :); u1 = double (x1); u2 = - ones (1, 4); x2 = stk_dataframe (u2); ***** assert (ismember (u1, x, 'rows')) ***** assert (ismember (x1, u, 'rows')) ***** assert (ismember (x1, x, 'rows')) ***** assert (~ ismember (u2, x, 'rows')) ***** assert (~ ismember (x2, u, 'rows')) ***** assert (~ ismember (x2, x, 'rows')) ***** test [b, idx] = ismember ([x2; x1; x1], x, 'rows'); assert (isequal (b, [false; true; true])); assert (isequal (idx, [0; 1; 1])) 7 tests, 7 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/prod.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/prod.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (prod(df1), prod(x1))) ***** assert (isequal (prod(df1, 1), prod(x1))) ***** assert (isequal (prod(df1, 2), prod(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_sprintf.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_sprintf.m ***** shared x, fmt fmt = stk_disp_getformat (); x = stk_dataframe (rand (3, 2)); ***** test format rat; disp (x); : -------- -------- * : 0.469302 0.089984 * : 0.977084 0.121606 * : 0.569270 0.380621 ***** test format long; disp (x); : ---------------- ---------------- * : 0.46930181365239 0.08998406479892 * : 0.97708364548695 0.12160620212735 * : 0.56926972887009 0.38062133942372 ***** test format short; disp (x); format (fmt); : -------- -------- * : 0.469302 0.089984 * : 0.977084 0.121606 * : 0.569270 0.380621 ***** test disp (stk_dataframe (zeros (0, 1))) Empty data frame with 0 rows and 0 columns ***** test disp (stk_dataframe (zeros (0, 2))) Empty data frame with 0 rows and 0 columns 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/cosd.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cosd.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = cosd (x); assert (strcmp (class (v), class (u)) && isequal (v, cosd (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/ctranspose.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/ctranspose.m ***** test u = rand(3, 2) + 1i * rand(3, 2); data = stk_dataframe(u, {'x' 'y'}, {'obs1'; 'obs2'; 'obs3'}); data = data'; assert (isa(data, 'stk_dataframe') && isequal(double(data), u')); assert (isequal(data.rownames, {'x'; 'y'})); assert (isequal(data.colnames, {'obs1' 'obs2' 'obs3'})); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/log2.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log2.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = log2 (x); assert (strcmp (class (v), class (u)) && isequal (v, log2 (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/min.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/min.m ***** test stk_test_dfbinaryop ('min', rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop ('min', rand(7, 2), pi); ***** error stk_test_dfbinaryop ('min', rand(7, 2), rand(7, 3)); ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (min(df1), min(x1))) ***** assert (isequal (min(df1, [], 1), min(x1))) ***** assert (isequal (min(df1, [], 2), min(x1, [], 2))) ***** error (min(df1, df1, 2)) ***** test x = stk_dataframe ([5; 2; 4]); [M, k] = min (x); assert ((M == 2) && (k == 2)); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/acosd.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/acosd.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = acosd (x); assert (strcmp (class (v), class (u)) && isequal (v, acosd (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/ldivide.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/ldivide.m ***** test stk_test_dfbinaryop(@ldivide, 1 + rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop(@ldivide, 1 + rand(7, 2), pi); ***** error stk_test_dfbinaryop(@ldivide, 1 + rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/asin.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/asin.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = asin (x); assert (strcmp (class (v), class (u)) && isequal (v, asin (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/tan.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/tan.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = tan (x); assert (strcmp (class (v), class (u)) && isequal (v, tan (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/size.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/size.m ***** shared x x = stk_dataframe([1 2; 3 4; 5 6]); ***** assert (isequal (size(x), [3 2])) ***** assert (numel(x) == 1) ***** assert (ndims(x) == 2) ***** test size(x); % force exploration of branch nargout == 0 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sind.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sind.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = sind (x); assert (strcmp (class (v), class (u)) && isequal (v, sind (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/max.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/max.m ***** test stk_test_dfbinaryop ('max', rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop ('max', rand(7, 2), pi); ***** error stk_test_dfbinaryop ('max', rand(7, 2), rand(7, 3)); ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (max(df1), max(x1))) ***** assert (isequal (max(df1, [], 1), max(x1))) ***** assert (isequal (max(df1, [], 2), max(x1, [], 2))) ***** error (max(df1, df1, 2)) ***** test x = stk_dataframe ([1; 3; 2]); [M, k] = max (x); assert ((M == 3) && (k == 2)); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/display.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/display.m ***** test display (stk_dataframe (rand (3, 2))); = <3x2 stk_dataframe array> : -------- -------- * : 0.129911 0.706044 * : 0.209725 0.625665 * : 0.506361 0.688223 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_normalize.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_normalize.m ***** test u = rand (6, 2) * 2; x = stk_dataframe (u); y = stk_normalize (x); assert (isa (y, 'stk_dataframe') ... && stk_isequal_tolabs (double (y), stk_normalize (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/rdivide.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/rdivide.m ***** test stk_test_dfbinaryop(@rdivide, rand(7, 2), 1 + rand(7, 2)); ***** test stk_test_dfbinaryop(@rdivide, rand(7, 2), pi); ***** error stk_test_dfbinaryop(@rdivide, rand(7, 2), 1 + rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/disp.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/disp.m ***** shared x, fmt fmt = stk_disp_getformat (); x = stk_dataframe (rand (3, 2)); ***** test format rat; disp (x); : -------- -------- * : 0.030750 0.905400 * : 0.886400 0.027717 * : 0.805845 0.581931 ***** test format long; disp (x); : ---------------- ---------------- * : 0.03074952530643 0.90540027723030 * : 0.88639993923701 0.02771716540195 * : 0.80584526041319 0.58193136079051 ***** test format short; disp (x); format (fmt); : -------- -------- * : 0.030750 0.905400 * : 0.886400 0.027717 * : 0.805845 0.581931 ***** test disp (stk_dataframe (zeros (0, 1))) Empty data frame with 0 rows and 0 columns ***** test disp (stk_dataframe (zeros (0, 2))) Empty data frame with 0 rows and 0 columns 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/cosh.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cosh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = cosh (x); assert (strcmp (class (v), class (u)) && isequal (v, cosh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/expm1.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/expm1.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = expm1 (x); assert (strcmp (class (v), class (u)) && isequal (v, expm1 (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/exp.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/exp.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = exp (x); assert (strcmp (class (v), class (u)) && isequal (v, exp (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_dataframe.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_dataframe.m ***** test stk_test_class ('stk_dataframe') ***** test % default constructor x = stk_dataframe (); assert (isa (x, 'stk_dataframe') && isequal (size (x), [0 0])) ***** test y = stk_dataframe (rand (3, 2)); assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) ***** test y = stk_dataframe (rand (3, 2), {'x', 'y'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) ***** test y = stk_dataframe (rand (3, 2), {'x', 'y'}, {'a', 'b', 'c'}); assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'})) ***** test x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x); assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) ***** error x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x, pi); ***** error x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x, {}, pi); ***** test x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x, {'x' 'y'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) ***** test x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x, {'x' 'y'}, {'a', 'b', 'c'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'})) ***** test x = stk_dataframe (rand (3, 2), {'x' 'y'}); y = stk_dataframe (x, [], {'a', 'b', 'c'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'})) ***** test x = stk_dataframe (rand (3, 2), {'x' 'y'}); y = stk_dataframe (x, {}, {'a', 'b', 'c'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {})) assert (isequal (y.rownames, {'a'; 'b'; 'c'})) ***** test x = stk_factorialdesign ({1:3, 1:2}, {'x' 'y'}); y = stk_dataframe (x, [], {'a' 'b' 'c' 'd' 'e' 'f'}); assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) ***** test x = stk_factorialdesign ({1:3, 1:2}, {}, {'a' 'b' 'c' 'd' 'e' 'f'}); y = stk_dataframe (x, {'x' 'y'}); assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) ***** test x = stk_factorialdesign ({1:3, 1:2}, {}, {'a' 'b' 'c' 'd' 'e' 'f'}); y = stk_dataframe (x, {'x' 'y'}, []); assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) ***** test x = stk_factorialdesign ({1:3, 1:2}, {'x' 'y'}, {'a' 'b' 'c' 'd' 'e' 'f'}); y = stk_dataframe (x); assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) ***** error x = stk_factorialdesign ({1:3, 1:2}); y = stk_dataframe (x, pi); ***** error x = stk_factorialdesign ({1:3, 1:2}); y = stk_dataframe (x, {}, pi); ***** test x = stk_dataframe ([], {'a', 'b'}); assert (isequal (size (x), [0 2])) assert (isequal (x.colnames, {'a' 'b'})); assert (isequal (x.rownames, {})); ***** test x = stk_dataframe ([], {'a', 'b'}, {'toto'}); assert (isequal (size (x), [1 2])) assert (isequal (x.colnames, {'a' 'b'})); assert (isequal (x.rownames, {'toto'})); ***** shared x ***** test x = stk_dataframe (randn (10, 1), 'NOx'); assert (isequal (x.colnames, {'NOx'})); ***** test y = stk_dataframe (x, 'toto'); assert (isequal (y.colnames, {'toto'})); ***** test x = stk_dataframe (randn (1, 2), {}, 'aaa'); assert (isequal (x.rownames, {'aaa'})); ***** test y = stk_dataframe (x, {}, 'tata'); assert (isequal (y.rownames, {'tata'})); 24 tests, 24 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/bsxfun.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/bsxfun.m ***** shared x1, x2, data1, data2 x1 = rand (3, 2); data1 = stk_dataframe (x1); x2 = rand (3, 2); data2 = stk_dataframe (x2); ***** test z = bsxfun (@plus, data1, x2); assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) ***** test z = bsxfun (@plus, x1, data2); assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) ***** test z = bsxfun (@plus, data1, data2); assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) ***** shared x, y x = stk_dataframe (randn (2), {'x1', 'x2'}, {'a'; 'b'}); y = stk_dataframe (randn (2), {'y1', 'y2'}, {'c'; 'd'}); ***** test z = x + y; assert (isequal (z.colnames, x.colnames)); assert (isequal (z.rownames, x.rownames)); ***** test z = y + x; assert (isequal (z.colnames, y.colnames)); assert (isequal (z.rownames, y.rownames)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/vertcat.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/vertcat.m ***** shared u, v u = rand (3, 2); v = rand (3, 2); ***** test x = stk_dataframe (u); y = stk_dataframe (v); z = vertcat (x, y); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); ***** test % the same, with row names this time x = stk_dataframe (u, {}, {'a'; 'b'; 'c'}); y = stk_dataframe (v, {}, {'d'; 'e'; 'f'}); z = vertcat (x, y); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); assert (all (strcmp (z.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'}))); ***** test % the same, with row names only for the first argument x = stk_dataframe (u, {}, {'a'; 'b'; 'c'}); y = stk_dataframe (v); z = vertcat (x, y); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); ***** test % incompatible variable names u = rand (3, 1); x = stk_dataframe (u, {'x'}); v = rand (3, 1); y = stk_dataframe (v, {'y'}); z = vertcat (x, y); assert (isequal (z.colnames, {})); warning: Incompatible column names ! The output of vertcat will have no column names. warning: called from vertcat at line 82 column 9 __test__ at line 5 column 4 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 1310 column 31 ***** test x = stk_dataframe (u); z = vertcat (x, v); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); ***** test % the same, with row names for the first argument x = stk_dataframe (u, {}, {'a'; 'b'; 'c'}); z = vertcat (x, v); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); ***** test y = stk_dataframe (v); z = vertcat (u, y); assert (isa (z, 'stk_dataframe') && (isequal (double (z), [u; v]))); ***** test x = stk_dataframe (u); y = stk_dataframe (v); z = vertcat (x, y, u, v); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v; u; v])); ***** shared x, y x = stk_dataframe (rand (2, 3), {'a', 'b', 'c'}); y = stk_dataframe (rand (3, 2), {'a', 'b'}); y = horzcat (y, rand(3, 1)); % last column name is missing ***** test z = vertcat (x, y); assert (isequal (z.colnames, {'a' 'b' 'c'})) ***** test z = vertcat (y, x); assert (isequal (z.colnames, {'a' 'b' 'c'})) 10 tests, 10 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/times.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/times.m ***** test stk_test_dfbinaryop(@times, rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop(@times, rand(7, 2), pi); ***** error stk_test_dfbinaryop(@times, rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_boundingbox.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_boundingbox.m ***** shared x, y, cn cn = {'a', 'b', 'c'}; x = stk_dataframe ([0 3 2; 1 4 1; 7 0 2], cn); ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y, stk_hrect ([0 0 1; 7 4 2], cn))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/isfinite.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/isfinite.m ***** test u = [pi, NaN, Inf, -Inf]; x = stk_dataframe (u); v = isfinite (x); assert (islogical (v) && isequal (v, isfinite (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mean.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mean.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (mean(df1), mean(x1))) ***** assert (isequal (mean(df1, 1), mean(x1))) ***** assert (isequal (mean(df1, 2), mean(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/minus.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/minus.m ***** test stk_test_dfbinaryop(@minus, rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop(@minus, rand(7, 2), pi); ***** error stk_test_dfbinaryop(@minus, rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/end.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/end.m ***** shared x x = stk_dataframe ([1; 2; 3]); ***** assert (isequal (double (x(2:end, :)), [2; 3])) ***** assert (isequal (double (x(2:end)), [2; 3])) ***** assert (isequal (double (x(2, 1:end)), 2)) ***** assert (isequal (double (x(end)), 3)) ***** shared x x = stk_dataframe ([1 2; 3 4; 5 6]); ***** assert (isequal (x(2:end, :), x(2:3, :))) ***** assert (isequal (x(2, 1:end), x(2, :))) ***** assert (isequal (x(2:end, 2:end), x(2:3, 2))) ***** error x(1:end, 1:end, 1:end) 8 tests, 8 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/power.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/power.m ***** test stk_test_dfbinaryop(@power, rand(7, 2), .1 + rand(7, 2)); ***** test stk_test_dfbinaryop(@power, rand(7, 2), .1); ***** error stk_test_dfbinaryop(@power, rand(7, 2), .1 + rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/subsref.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/subsref.m ***** test B = stk_hrect ([0 0 0 0; 1 2 3 4]); B = B(:, [1 3 4]); assert (strcmp (class (B), 'stk_hrect')); assert (isequal (double (B), [0 0 0; 1 3 4])); ***** test B = stk_hrect ([0 0 0 0; 1 2 3 4]); B = B(1, :); assert (strcmp (class (B), 'stk_dataframe')); assert (isequal (double (B), [0 0 0 0])); 2 tests, 2 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/horzcat.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/horzcat.m ***** shared d, x1, x2, x3 d = 10; x1 = stk_hrect (d); x2 = double (x1); x3 = [1:d; 0:(d-1)]; % illegal bounds ***** test y1 = horzcat (x1, x1); assert (isequal (size (y1), [2 2*d])); assert (strcmp (class (y1), 'stk_hrect')); ***** test y2 = horzcat (x1, x2); assert (isequal (size (y2), [2 2*d])); assert (strcmp (class (y2), 'stk_hrect')); ***** test y3 = horzcat (x2, x1); assert (isequal (size (y3), [2 2*d])); assert (strcmp (class (y3), 'stk_hrect')); ***** test lastwarn ('') y4 = horzcat (x1, x3); assert (isequal (size (y4), [2 2*d])); assert (strcmp (class (y4), 'stk_dataframe')); [warn_msg, warn_id] = lastwarn (); assert (strcmp (warn_id, 'STK:stk_hrect:horzcat:IllegalBounds')) warning: Illegal bounds, the result is not an stk_hrect object. warning: called from horzcat at line 47 column 9 __test__ at line 4 column 5 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 1382 column 31 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_rescale.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_rescale.m ***** shared x x = rand (10, 4); y = stk_rescale (x, [], []); assert (stk_isequal_tolabs (x, y)); ***** test y = stk_rescale(0.5, [], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 1], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 2], []); assert (stk_isequal_tolabs (y, 0.25)); ***** test y = stk_rescale (0.5, [0; 2], [0; 1]); assert (stk_isequal_tolabs (y, 0.25)); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/ismember.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/ismember.m ***** shared n, box n = 5; box = stk_hrect (n); ***** assert (ismember (box(1, :), box)) ***** assert (ismember (box(2, :), box)) ***** assert (ismember (.5 * ones (1, 5), box)) ***** assert (~ ismember (box(1, :) - 1, box)) ***** assert (~ ismember (box(2, :) + 1, box)) ***** test y = double (box); y = [y; y + 2]; assert (isequal (ismember (y, box), [1; 1; 0; 0])) 6 tests, 6 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_normalize.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_normalize.m ***** shared x, box, y1, y2, y3, y4 n = 5; box = stk_hrect ([2; 3]); x = 2 + rand (n, 1); ***** error y1 = stk_normalize (); ***** test y2 = stk_normalize (x); ***** test y3 = stk_normalize (x, box); ***** test assert (~ any ((y2 < -10 * eps) | (y2 > 1 + 10 * eps))); ***** test assert (~ any ((y3 < -10 * eps) | (y3 > 1 + 10 * eps))); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_hrect.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_hrect.m ***** test stk_test_class ('stk_hrect') ***** shared dom ***** test dom = stk_hrect ([-1; 1], {'x'}); ***** assert (isequal (dom.colnames, {'x'})) ***** assert (isequal (dom.rownames, {'lower_bounds'; 'upper_bounds'})) ***** assert (isequal (dom.data, [-1; 1])) 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_dataframe.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_dataframe.m ***** shared x, cn, rn, y, cn2, rn2 cn = {'x' 'y'}; rn = {'lower_bounds'; 'upper_bounds'}; x = stk_hrect ([0 0; 1 1], cn); cn2 = {'xx' 'yy'}; rn2 = {'aa'; 'bb'}; ***** test y = stk_dataframe (x); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, [], rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, {}, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, {})) ***** assert (isequal (y.rownames, rn2)) 20 tests, 20 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/vertcat.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/vertcat.m ***** shared d, x, y d = 10; x = stk_hrect (d); y = double (x); ***** test z = vertcat (x, x); assert (isequal (size (z), [4 d])); assert (strcmp (class (z), 'stk_dataframe')); ***** test z = vertcat (x, y); assert (isequal (size (z), [4 d])); assert (strcmp (class (z), 'stk_dataframe')); ***** test z = vertcat (y, x); assert (isequal (size (z), [4 d])); assert (strcmp (class (z), 'stk_dataframe')); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_boundingbox.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_boundingbox.m ***** shared x, y lb = rand (1, 5); ub = lb + 1; cn = {'a', 'b', 'c', 'd', 'e'}; x = stk_hrect ([lb; ub], cn); ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y, x)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc03.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc03.m ***** test stk_example_misc03; close all; #==========================# # stk_example_misc03 # #==========================# 'stk_example_misc03' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc03.m STK_EXAMPLE_MISC03 How to deal with (known) seasonality Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov52_iso lm = dim = 1 param = 1.7887 -1.8347 lognoisevariance = -4.5181 model2 = scalar structure containing the fields: covariance_type = @stk_materncov52_iso lm = @(t) [ones(length (t), 1), sin(2 * pi * t / T0), cos(2 * pi * t / T0)] dim = 1 param = 0.9910 -8.1781 lognoisevariance = -4.5483 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc04.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc04.m ***** test stk_example_misc04; close all; #==========================# # stk_example_misc04 # #==========================# 'stk_example_misc04' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc04.m STK_EXAMPLE_MISC04 Pareto front simulation DESCRIPTION We consider a bi-objective optimization problem, where the objective functions are modeled as a pair of independent stationary Gaussian processes with a Matern 5/2 anisotropic covariance function. Figure (a): represent unconditional realizations of the Pareto front and and estimate of the probability of being non-dominated at each point of the objective space. Figure (b): represent conditional realizations of the Pareto front and and estimate of the posteriorior probability of being non-dominated at each point of the objective space. EXPERIMENTAL FUNCTION WARNING This script uses the stk_plot_probdom2d function, which is currently considered an experimental function. Read the help for more information. REFERENCE [1] Michael Binois, David Ginsbourger and Olivier Roustant, Quantifying uncertainty on Pareto fronts with Gaussian Process conditional simu- lations, European J. of Operational Research, 2043(2):386-394, 2015. See also: stk_plot_probdom2d Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. line 0: warning: iconv failed to convert degree sign multiplot> set style increment default; ^ line 0: warning: deprecated command Proba. of being dominated simulated Pareto fronts--| || 600 +|+ +* #*% $=#%=&+ +-+| +--+---+--+--+---++ ++||00% |+ +* #*% $=#%=&#######| 600 +---+###|##|##|+---+ || #|#####*##*%#$=#%=&##### | +##+###+##+##+###+| || 400 +|+####*##*%#$=#%=&####+-+| 400 +---+##########+---+ || #|#####*##*%#$$$$$$$$$$$$$| |#################| || #|#####*##*%#*=#%=========| |#################| ++||5% 200 +|+####*###%##############| 200 +---+##########+---+ || #|#####*#@*%#**=%#&##### | |#################| || #|#####*#@*%#*************| |#################| || 0 +|+####*#@*%****%*&***second objective--+##########+---+ ++||0% #|#####**@*%****%*&&&&&&&&| |#################| || #|#######@#%#&#*%####### | -200 |#################| || -200 +|+######@#%#&#*%$$$$$$$$$| +---+##########+---+ || #|#######@#%#&##%*********| |#################| || #|#######@@%@@@@@@@@@@@@@@| -400 |#################| ++||5% -400 +|+########%#&##%######+-+| +---+##########+---+ || #|#########%#&&&%%%%%%%%%%| -600 |#################| || #|#########%%%%%%%%%%%%%%%| +---+###+##+##++---+ || -600 +|------------------------| |--|---|--|--|---|+ || ##+###+###+###+####+###+ -30-200-100010002000 ++-0% -300-200-1000 0 10002000 first objective first objective 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc01.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc01.m ***** test stk_example_misc01; close all; #==========================# # stk_example_misc01 # #==========================# 'stk_example_misc01' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc01.m STK_EXAMPLE_MISC01 Several correlation functions from the Matern family The Matern 1/2 correlation function is also known as the "exponential correla- tion function". This is the correlation function of an Ornstein-Ulhenbeck pro- cess. The Matern covariance function tends to the Gaussian correlation function when its regularity (smoothness) parameter tends to infinity. See also: stk_materncov_iso, stk_materncov_aniso Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc05.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc05.m ***** test stk_example_misc05; close all; assert (isa (model.lognoisevariance, 'stk_gaussiannoise_het0')); #==========================# # stk_example_misc05 # #==========================# 'stk_example_misc05' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc05.m STK_EXAMPLE_MISC05 Parameter estimation for heteroscedastic noise variance DESCRIPTION We consider a 1d prediction problem with noisy data, where the variance of the noise depends on the input location. A simple heteroscedastic model is used, where the only parameter to be estimated is a dispersion parameter (the square of a scale parameter). More preciesely, the variance of the noise is assumed to be of the form tau^2(x) = phi * (x + 1) ^ 2, and the dispersion parameter phi is estimated together with the parameters of the covariance function. EXPERIMENTAL FEATURE WARNING This script demonstrates an experimental feature of STK (namely, gaussian noise model objects). STK users that wish to experiment with it are welcome to do so, but should be aware that API-breaking changes are likely to happen in future releases. We invite them to direct any questions, remarks or comments about this experimental feature to the STK mailing list. See also: stk_example_kb09 Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov52_iso lm = dim = 1 param = 0.066833 0.707310 lognoisevariance = gn = | | Heteroscedastic variance model: tau^2(x) = dispersion * variance_function(x) | | dispersion: 2.4169 [log_dispersion = 0.8825] | variance_function: @(x) (x + 1) .^ 2 | 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc02.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc02.m ***** test stk_example_misc02; close all; #==========================# # stk_example_misc02 # #==========================# 'stk_example_misc02' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc02.m STK_EXAMPLE_MISC02 How to use priors on the covariance parameters A Matern covariance in dimension one is considered as an example. A Gaussian prior is used for all three parameters: log-variance, log-regularity and log- inverse-range. The corresponding parameter estimates are Maximum A Posteriori (MAP) estimates or, more precisely, Restricted MAP (ReMAP) estimates. Several values for the variance of the prior are successively considered, to illustrate the effect of this prior variance on the parameter estimates. When the variance is small, the MAP estimate is close to the mode of the prior. On the other hand, when the variance is large, the prior becomes "flat" and the MAP estimate is close to the ReML estimate (see figure b). Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. line 0: warning: iconv failed to convert degree sign | prior std = 10.00 | prior std = 1.00 3 +|+ 4 +|+ #### %|%## ####%%%% 3 +|+# ##%%%%% 2 +|+&&&%&&&%######%&&&&&&&& 2 +|+&&%##%%%######%%&&&&&&& 1 +|+#==GG==&&%###&&&######& 1 +|+#&&GG==&&%###&&&&#####& =|===&&&&====G=G=====predicted outpu| z===&&====G=G========== 0 +|+&&&##%&&&&&&&&&&######& 0 +|+&&&##%&&&&&&&&&&######& -1 +|+%#############%&&&&&&&& -1 +|+%#############%&&&&&&&& +|------------------------- -2 +|------------------------- -2 +-+##+####+####+####+### + -3 +-+##+####+####+####+####+ 0 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 1 | prior std = 0.20 | prior std = 0.01 6 +|+ 6 +|+ | ### | # 4 +|+#################%%%%%% 4 +|+##################%%%%% 2 +|+%####&&%######%&&&&&&&& 2 +|+#####%%########&&&&&&&& &|&&==GG=====&&======predicted outpu| z&=GG=====#%=========== 0 +|+==&###%&&=G=G&&&&#####& 0 +|+===####%&=G=G&&&&&&###& -2 +|+&%#############%&&&&&&& -2 +|+&###############%%&&&&& +|------------------------- +|------------------------- -4 +-+##+####+####+####+### + -4 +-+##+####+####+####+### + 0 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 1 input x input x 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe04.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe04.m ***** test stk_example_doe04; close all; #=========================# # stk_example_doe04 # #=========================# 'stk_example_doe04' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe04.m STK_EXAMPLE_DOE04 Probability of misclassification The upper panel shows posterior means and variances as usual, and the threshold of interest, which is at T = 0.85 (dashed line). The lower panel shows the probability of misclassification as a function of x (blue curve), i.e., the probability that the actual value of the function is not on the same side of the threshold as the prediction (posterior mean). We also plot the expected future probability of misclassification (magenta curve), should a new evaluation be made at x = 3. Note that both probabilities are obtained using stk_pmisclass. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe06.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe06.m ***** test stk_example_doe06; close all; #=========================# # stk_example_doe06 # #=========================# 'stk_example_doe06' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe06.m STK_EXAMPLE_DOE06 Sequential design for the estimation of an excursion set In this example, we consider the problem of estimating the set Gamma = { x in X | f(x) > z_crit }, where z_crit is a given value, and/or its volume. In a typical "structural reliability analysis" problem, Gamma would represent the failure region of a certain system, and its volume would correspond to the probability of failure (assuming a uniform distribution for the input). A Matern 5/2 prior with known parameters is used for the function f, and the evaluations points are chosen sequentially using any of the sampling criterion described in [1] (see also [2], section 4.3). REFERENCE [1] B. Echard, N. Gayton and M. Lemaire (2011). AK-MCS: an active learning reliability method combining Kriging and Monte Carlo simulation. Structural Safety, 33(2), 145-154. [2] J. Bect, D. Ginsbourger, L. Li, V. Picheny and E. Vazquez (2012). Sequential design of computer experiments for the estimation of a probability of failure. Statistics and Computing, 22(3), 773-793. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. Volume (reference value): 19.74% data_init = <4x2 stk_dataframe array> : x z initial design #1 : 0.000000 0.00000 initial design #2 : 0.333333 -0.43063 initial design #3 : 0.666667 -0.66886 initial design #4 : 1.000000 -1.20558 line 0: warning: iconv failed to convert degree sign |-------------------------Groung truth----------------------------| 1 +|+ + + + + +-+| +| + + + + +| #|############################################################### | 0.5 +|+#############################################################+-+| #|############################################################### | #|############################################################### | $|$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$| 0 *|*****##***####***#######**#######**##########**########**#####+-+| #|####****########**#####**#########*##########*##########*###### | z #|#################***#***###########*########**##########**##### | -0.5 +|+##################***#############**######**############*####+-+| #|####################################**####**#############**#### | #|#####################################******###############**### | #|----------------------------+##############################**## | -1 +|***?***z = f(x), below zcrit|###############################*#+-+| #|###?###z = f(x), above zcrit|###############################*****| +|-----------------------------------------------------------------| -1.5 +-+##########+############+#############+############+##########+-+ 0 0.2 0.4 0.6 0.8 1 x Iteration #1 | Current sample size: n = 4 | Volume estimate (plugin): 0.00000 [ref: 0.19740] | Upper-bound on posterior std: 4.1023e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 4 +|+ ### | #%%%%%%%%%## ###%%%### ######## 2 +|+&&&&&&&&&&&&&&%#####%%&&&&&&&&&&&%#######%%&&&&&&&&%%### 0 +|+###F###################################################### z #|&&&&##########&***G*******************G*******************G -2 +|+%%&&&&&&&&&&&&%#####%&&&&&&&&&&&&&&%###%&&&&&&#####&&&&&& -4 +|+#####%%%%%##############%%%%%%%###########%%%&&&&&&&%%## +|------------------------------------------------------------ -6 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.4 +|+***F**** + + + + +-+| +|** **** + + + +| 0.3 +|*##########***##########################################+-+| #|#############**#########********######################### | criterion +|+#############**#######**######***######################+-+| #|###############*#####***#########**#########********##### | 0.1 +|+##############**####*############**######***######***##+-+| *|-----------------------------------------------------------| 0 *-+#########+#####*****#+###########+#******####+#######***** 0 0.2 0.4 0.6 0.8 1 x Iteration #2 | Current sample size: n = 5 | Volume estimate (plugin): 0.00000 [ref: 0.19740] | Upper-bound on posterior std: 3.0152e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 4 +|+ | ######## ######## 2 +|+##########%%#########%&&&&&&&&&&&%#######%%&&&&&&&&%%### 0 +|+########################################################## z #|%%%##%&&&&&&&&&***G*********F*********G*******************G -2 +|+####################%&&&&&&&&&&&&&&####%&&&&&&#####&&&&&& -4 +|+#########################%%%%%%###########%%%&&&&&&&%%## +|------------------------------------------------------------ -6 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.25 +|+ + + **F* + + +-+| +| + + *** *** + + +| 0.2 +|+######################**######***######################+-+| 0.15 +|+########*****########**#########*###########*****######+-+| #|########**###**#######*##########**########***###***##### | 0.1 +|**#####**#####*######**###########**######**#######**###+-+| 0.05 +|***####*######**#####*#############*#####**#########**##+-+| +|-----------------------------------------------------------| 0 **+#*****###+#####*****#+###########+#******####+########**** 0 0.2 0.4 0.6 0.8 1 x Iteration #3 | Current sample size: n = 6 | Volume estimate (plugin): 0.10150 [ref: 0.19740] | Upper-bound on posterior std: 2.7591e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 2 +|+ ####### 1 +|+ ###### #%%%# %%%%# ##%%%%%%%%%%# 0 +|+########################F################################# -1 +|+&&&&*************G***&&&&%###&===****G****########====&&&& z #|########%&&&&&&&%######################&&&****************G -2 +|+########################################%&&&&#######&&&&% -3 +|+##########################################%%&&&&&&&&&%%# -4 +|------------------------------------------------------------ -5 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + F * + + +-+| +| + + ** *** + + +| 0.4 +|+#######################***###*#*#######################+-+| 0.3 +|+######################*##*###*#**######################+-+| criterion #|######################**##*##**##*####################### | 0.2 +|+#####################*###**#*###**#####################+-+| 0.1 +|**###################**####*#*####*#####################+-+| +|-----------------------------------------------------------| 0 **+#******##+##*********+####***####+**********#+######****** 0 0.2 0.4 0.6 0.8 1 x Iteration #4 | Current sample size: n = 7 | Volume estimate (plugin): 0.10590 [ref: 0.19740] | Upper-bound on posterior std: 2.1170e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 2 +|+ ####### 1 +|+ #%%%%%%%%%%# 0 +|+######################F################################### -1 +|+&&&&*************G**=&#######%==*****G*****#######====&&&& z #|########%&&&&&&&#######################&&&&***************G -2 +|+########################################%&&&&&######&&&&# -3 +|+###########################################%%&&&&&&&&%## -4 +|------------------------------------------------------------ -5 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + +F * + + +-+| +| + +* * + + +| 0.4 +|+######################*#####**#########################+-+| 0.3 +|+######################*#####***########################+-+| criterion #|#######################**####*#*######################### | 0.2 +|+#####################***####*#**#######################+-+| 0.1 +|**####################*#*####*##**######################+-+| +|-----------------------------------------------------------| 0 **+#*******#************+#******####***********#+######****** 0 0.2 0.4 0.6 0.8 1 x Iteration #5 | Current sample size: n = 8 | Volume estimate (plugin): 0.08640 [ref: 0.19740] | Upper-bound on posterior std: 1.8264e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 4 +|+ | 2 +|+###########################################%%%%%%%%%%### 0 +|+############################F############################# z #|%%%##%&&&&&*******G*=##########&==****G*******************G -2 +|+########################################&&&&&&&###&&&&&&& -4 +|+############################################%%&&&&&%%%## +|------------------------------------------------------------ -6 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + * F + + +-+| +| + + * * + + +| 0.4 +|+#######################*####*##########################+-+| 0.3 +|+#######################*####**#########################+-+| criterion #|########################*####**########################## | 0.2 +|+#######################*####**#########################+-+| 0.1 +|+#######################*####***########################+-+| +|-----------------------------------------------------------| 0 **+#******##+#******************###***********##+######****** 0 0.2 0.4 0.6 0.8 1 x Iteration #6 | Current sample size: n = 9 | Volume estimate (plugin): 0.08110 [ref: 0.19740] | Upper-bound on posterior std: 1.7120e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 3 +|+ 2 +|+ ######## 1 +|+###########################################%%&&&&&&%%### 0 +|+############################F############################# z &|&&**G*************G****#######********G*************===&&&# -1 +|+#######%&&&&&&%###################%%##&&&&&#######*******G -2 +|+#########################################%&&&&&&&&&&&&&&% -3 +|------------------------------------------------------------ -4 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + F + + +-+| +| + + * * + + +| 0.4 +|+#######################*####*##########################+-+| 0.3 +|+#######################*####*##########################+-+| criterion #|########################*####*########################### | 0.2 +|+#######################*####*##########################+-+| 0.1 +|+#######################*####*##############*********###+-+| +|-----------------------------------------------------------| 0 **+#******##+#*******************************###+#######***** 0 0.2 0.4 0.6 0.8 1 x Iteration #7 | Current sample size: n = 10 | Volume estimate (plugin): 0.08110 [ref: 0.19740] | Upper-bound on posterior std: 1.8153e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 3 +|+ 2 +|+ ######## 1 +|+##########################################%%%&&&&&&%%### 0 +|+#######################F################################## z &|&&**G*************G****#######********G**************==&&&# -1 +|+#######%&&&&&&%###################%%##%&&&&&########*****G -2 +|+##########################################%&&&&&&&&&&&&&# -3 +|------------------------------------------------------------ -4 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.4 +|+ + + F + + +-+| +| + + * + + +| 0.3 +|+#######################*###############################+-+| #|########################*################################ | criterion +|+#######################*###############################+-+| #|########################*####################*******##### | 0.1 +|**######################*##################***#####***##+-+| +|-----------------------------------------------------------| 0 **+#******##+##******************************###+#######***** 0 0.2 0.4 0.6 0.8 1 x Iteration #8 | Current sample size: n = 11 | Volume estimate (plugin): 0.08120 [ref: 0.19740] | Upper-bound on posterior std: 1.8074e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 3 +|+ 2 +|+ ######## 1 +|+##########################################%%%&&&&&&%%### 0 +|+########################################################## z &|&&**G*************G****#######********G*********F****==&&&# -1 +|+#######%&&&&&&%###################%%##%&&&&&#######******G -2 +|+##########################################%&&&&&&&&&&&&&# -3 +|------------------------------------------------------------ -4 +-+#########+###########+###########+###########+########## + 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.2 +|+ + + + + +-+| +| + + + + +| 0.15 +|+############################################***F**#####+-+| #|############################################**####**##### | 0.1 +|+###########################################*######**###+-+| #|**######****###############################**#######**### | 0.05 +|***####**##**#############################**#########**#+-+| +|-----------------------------------------------------------| 0 **+#*****###+##******************************###+########**** 0 0.2 0.4 0.6 0.8 1 x Iteration #9 | Current sample size: n = 12 | Volume estimate (plugin): 0.20600 [ref: 0.19740] | Upper-bound on posterior std: 2.1618e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1.5 +|+ 1 +|+ #### #|###########################################%&&&%%&&&&&%## 0.5 +|+&&###%&&&&&&%%#########*G**G*###########%==****G***#&&%# z 0 +|+###################################################F###### -0.5 +|+&&&&&************G***%########***&&&%%****&&%####%==***&% #|######%&&&####&&&&##############&*****G*&&&%########===***# -1 +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+###########+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + + * + *F +-+| +| + + + **+ ** +| 0.4 +|+###########################################**#####**###+-+| 0.3 +|+##########################################***#####***##+-+| criterion #|###########################################*#*####**#*### | 0.2 +|+##########################################*#*####*##*##+-+| 0.1 +|+#########################################**#**###*##**#+-+| +|-----------------------------------------------------------| 0 **+#******##+#*******************************###****####***** 0 0.2 0.4 0.6 0.8 1 x Iteration #10 | Current sample size: n = 13 | Volume estimate (plugin): 0.19340 [ref: 0.19740] | Upper-bound on posterior std: 1.5023e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ #### | ###### %&&*** 0.5 +|+&%###%%&&&&&%##########*G**G############&&***&*G*####### 0 +|+#########################################F################ z %|&&&*G********#====&****#######***&%####&**&&######**##### -0.5 +|+#####&&&###******G*&###########***&&&G**&%#########G*&## -1 +|+######%&&&&&&&&&################&=***=#############%***&& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + + F + * +-+| +| + + + ** + * +| 0.4 +|+#########################################**#####*######+-+| 0.3 +|+#########################################**#####*######+-+| criterion #|##########################################**#####*####### | 0.2 +|+#########################################**#####*######+-+| 0.1 +|+########################################****####*######+-+| +|-----------------------------------------------------------| 0 **+#******##+#******************************##*************** 0 0.2 0.4 0.6 0.8 1 x Iteration #11 | Current sample size: n = 14 | Volume estimate (plugin): 0.19620 [ref: 0.19740] | Upper-bound on posterior std: 1.0792e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | ###### &*** 0.5 +|+&%###%%&&&&&%##########*G**G##############***&*G*####### 0 +|+################################################F######### z %|&&&*G********#====&****#######***&#####&**########**##### -0.5 +|+#####&&&###******G*&###########***&&&G**###########G*&## -1 +|+######%&&&&&&&&&################&*****##############***&& +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+########%%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.5 +|+ + + + + F +-+| +| + + + + * +| 0.4 +|+#########################################*######*######+-+| 0.3 +|+#########################################*######*######+-+| criterion #|##########################################*######*####### | 0.2 +|+#########################################*######*######+-+| 0.1 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+|+######%&&&&&&&&&################&*****##############***&% +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+#########%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.4 +|+ + + + + +-+| +| + + + + F +| 0.3 +|+################################################*######+-+| #|#################################################*####### | criterion +|+################################################*######+-+| #|#################################################*####### | 0.1 +|**###############################################*######+-+| +|-----------------------------------------------------------| 0 **+#******##+##********************************************** 0 0.2 0.4 0.6 0.8 1 x Iteration #14 | Current sample size: n = 17 | Volume estimate (plugin): 0.19740 [ref: 0.19740] | Upper-bound on posterior std: 9.5916e-02 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | ###### &*** 0.5 +|+&%###%%&&&&&%##########*G**G##############***&*G*####### 0 +|+F######################################################### z %|&&&*G********#====&****#######***&#####&**########**##### -0.5 +|+#####&&&###******G*&###########***&&&G**###########G*### -1 +|+######%&&&&&&&&&################&*****##############***&% +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+#########%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.08 +|*F + + + + +-+| +|** *** + + + +| 0.06 +|***#####*#**############################################+-+| #|*#*####**##**############################################ | 0.04 +|+#*####*####*###########################################+-+| #|##*####*####**########################################### | 0.02 +|+#*###**#####*###################################*######+-+| +|-----------------------------------------------------------| 0 **+##****###+###********************************************* 0 0.2 0.4 0.6 0.8 1 x Iteration #15 | Current sample size: n = 18 | Volume estimate (plugin): 0.19740 [ref: 0.19740] | Upper-bound on posterior std: 3.7462e-02 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | &*** 0.5 +|+########%%%%###########*G**G##############***&*G*####### 0 +|+########################################################## z #|##&=G******###====&****#######***&#####&**########**##### -0.5 +|+#####&&&#F*******G=&###########***&&&G**###########G*### -1 +|+######%&&&&&&&&&################&*****##############***&% +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+#########%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.025 +|+ + + + + +-+| +| + + + + +| 0.02 +|+########*F*#####################################*######+-+| 0.015 +|+########*#**####################################*######+-+| #|########**##*####################################*####### | 0.01 +|+#######*###**###################################*######+-+| 0.005 +|+#######*####*###################################*######+-+| +|-----------------------------------------------------------| 0 **********##+###********************************************* 0 0.2 0.4 0.6 0.8 1 x Iteration #16 | Current sample size: n = 19 | Volume estimate (plugin): 0.19740 [ref: 0.19740] | Upper-bound on posterior std: 1.2209e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | &*** 0.5 +|+#######%%#%%%##########*G**G##############***&*G*####### 0 +|+#########F################################################ z #|##&*G**&&###&&****&****#######***&#####&**########**##### -0.5 +|+#############%&&*G*&###########***&&&G**###########G*### -1 +|+################################&*****##############***&% +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+#########%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.35 +|+ + + + + +-+| 0.3 +|+ + + + + +-+| 0.25 +|+########*F*############################################+-+| 0.2 +|+########****###########################################+-+| #|#########****############################################ | 0.15 +|+#######*****###########################################+-+| 0.1 +|+#######*#*#**##########################################+-+| 0.05 +|-----------------------------------------------------------| 0 ***********#*##********************************************** 0 0.2 0.4 0.6 0.8 1 x Iteration #17 | Current sample size: n = 20 | Volume estimate (plugin): 0.19740 [ref: 0.19740] | Upper-bound on posterior std: 2.8684e-02 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | &*** 0.5 +|+#######################*G**G##############***&*G*####### 0 +|+##########F############################################### z #|##&*G**&#####&****&****#######***&#####&**########**##### -0.5 +|+##############%&*G*&###########***&&&G**###########G*### -1 +|+################################&*****##############***&% +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+#########%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.05 +|+ + + + + +-+| +| +F + + + +| 0.04 +|+##########**###########################################+-+| 0.03 +|+##########**###########################################+-+| #|###########**############################################ | 0.02 +|+##########**####################################*######+-+| 0.01 +|+##########**####################################*######+-+| +|-----------------------------------------------------------| 0 **************#********************************************** 0 0.2 0.4 0.6 0.8 1 x Iteration #18 | Current sample size: n = 21 | Volume estimate (plugin): 0.19740 [ref: 0.19740] | Upper-bound on posterior std: 1.3841e-03 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | 1 +|+ | &*** 0.5 +|+#######################*G**G##############***&*G*####### 0 +|+################################################F######### z #|##&*G**&#####&****&****#######***&#####&**########**##### -0.5 +|+##############%&*G*&###########***&&&G**###########G*### -1 +|+################################&*****##############***&% +|------------------------------------------------------------ -1.5 +-+#########+###########+###########+###########+#########%%+ 0 0.2 0.4 0.6 0.8 1 |-----------------------------------------------------------| 0.02 +|+ + + + + F +-+| +| + + + + * +| 0.015 +|+################################################*######+-+| #|#################################################*####### | 0.01 +|+################################################*######+-+| #|#################################################*####### | 0.005 +|+################################################*######+-+| +|-----------------------------------------------------------| 0 ************************************************************* 0 0.2 0.4 0.6 0.8 1 x Iteration #19 | Current sample size: n = 22 | Volume estimate (plugin): 0.19740 [ref: 0.19740] | Upper-bound on posterior std: 4.1708e-04 [target: 5.000e-04] history = <22x5 stk_dataframe array> : x z vol_estim vol_err nmisclass initial design #1 : 0.000000 0.00000 NaN NaN NaN initial design #2 : 0.333333 -0.43063 NaN NaN NaN initial design #3 : 0.666667 -0.66886 NaN NaN NaN initial design #4 : 1.000000 -1.20558 0.0000 -0.1974 1974 MC point #06145 : 0.104281 -0.13308 0.0000 -0.1974 1974 MC point #06665 : 0.497568 0.26522 0.1015 -0.0959 1651 MC point #05171 : 0.446683 0.26122 0.1059 -0.0915 1409 MC point #02494 : 0.419546 0.07530 0.0864 -0.1110 1216 MC point #02204 : 0.520346 0.10061 0.0811 -0.1163 1163 MC point #04411 : 0.514341 0.15239 0.0811 -0.1163 1163 MC point #07226 : 0.429089 0.15012 0.0812 -0.1162 1162 MC point #07088 : 0.828052 0.43018 0.2060 0.0086 724 MC point #09414 : 0.892437 -0.41976 0.1934 -0.0040 40 MC point #09893 : 0.739920 0.18842 0.1962 -0.0012 12 MC point #00490 : 0.852922 0.16819 0.1973 -0.0001 1 MC point #04415 : 0.736600 0.14940 0.1973 -0.0001 1 MC point #00678 : 0.854326 0.15001 0.1974 0.0000 0 MC point #01751 : 0.042054 0.00865 0.1974 0.0000 0 MC point #09363 : 0.205813 0.14336 0.1974 0.0000 0 MC point #06029 : 0.196887 0.13531 0.1974 0.0000 0 MC point #06683 : 0.219729 0.13148 0.1974 0.0000 0 MC point #00678 : 0.854326 0.15001 0.1974 0.0000 0 Final result: | Number of evaluations: 4 + 18 = 22. | Volume estimate (plugin): 19.7400% [ref: 19.7400%] 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe05.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe05.m ***** test stk_example_doe05; close all; #=========================# # stk_example_doe05 # #=========================# 'stk_example_doe05' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe05.m STK_EXAMPLE_DOE05 A simple illustration of 1D Bayesian optimization Our goal here is to minimize the one-dimensional function x |--> x * sin (x) over the interval [0; 4 * pi], using noisy evaluations. Evaluations points are chosen sequentially using either AKG criterion (default) or the EQI criterion (set SAMPCRIT_NAME to 'EQI'); Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,11" textcolor rgb " ^ line 0: invalid command | n = 5 + 0 = 5. 15 +|+ ### 10 +|+ ##%%%%%%### ##%%%%%### ##%%%&&&&&%%######## 5 +|+&&&&&&&&&&&&&&&&&&&&&&&&&%%#%%&&==========G&&&&&&&%%#### 0 +|+=***********G*********##&&&&==******************##&&&&%# z G|**######&&&&&&========******G***####&&&&&&&&&===#*****&&&&& -5 +|+&&&&&&&&%%####%%&&&&&===&&&&&&&&&&&&%%#######%&===##****** -10 +|+################################################%=======&G -15 +|------------------------------------------------------------ -20 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.08 +|+ + + + + + +-+| 0.07 +|+ + + + + + *F*+-+| 0.06 +|+####################################################*#*+-+| 0.05 +|+###################################################**#*+-+| AKG0.04 +|+###################################################*###*-+| 0.03 +|+##################################################*####*-+| 0.02 +|+#################################################**####*-+| 0.01 +|-----------------------------------------------------------| 0 **********************####**************************######+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 5 = 10. 15 +|+ ##### 10 +|+ ###%%### ######## ##%%%&&%%%# #|#%%&&&&&&&&&&%%&&&&&&&&%%%#####%&&========&&&%########### 5 +|+&&#########&G&########&&&&&&&&====********G*&&&######### z 0 +|+***************************G******####&&&&&****&&####### -5 +|+&&####&&&&&&&&&=============&&&&&&&&&&&%%##%&=***G%##### # %|%%&&&&&%%%######%%%&&&&&&&%%%%%%%%%%%##########&==**G&&&==G -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+####G%%%#+ 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.05 +|+ + + + + + F+-+| +| + + + + + ** +| 0.04 +|+######################################################**-+| 0.03 +|+######################################################**-+| AKG #|#######################################################** *| 0.02 +|+######################################################****| 0.01 +|+######################################################*+-+| +|-----------------------------------------------------------| 0 ******************************************************##**+-+ 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 10 = 15. 20 +|+ | ####### ####### ##%%%%%%%# 10 +|+%%&&&&&&&&%%#%%&&&&&&&&%%#####%&&&&====&&&%%############ &|&&&&######&&&&&&&######&&&&&&&&======******G*&&&######### z 0 +|+************G**************G*********##&&&&****&&####### &|&&&#####&&&&&%&&&===========&&&&&&&&&&&&&%##%&&***G&####&&G -10 +|+%&&&&&&%%######%%%&&&&&&&%###%%%&&%%%#########%&=GGG*GGG*G +|------------------------------------------------------------ -20 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.1 +|+ + + + + + +-+| +| + + + + + *F +| 0.08 +|+######################################################**-+| 0.06 +|+#################################################**###**-+| AKG #|##################################################*#*#*##* | 0.04 +|+#################################################*#*#*#+*+| 0.02 +|+################################################**#***#+*+| +|-----------------------------------------------------------| 0 ******###*************####*************************####*##+-* 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 15 = 20. 20 +|+ | ####### ####### ##%%%%%%%# 10 +|+%%&&&&&&&&%%#%%&&&&&&&&%%#####%&&&&====&&&%%############ &|&&&&######&&&&&&&######&&&&&&&&======******G*&&&######### z 0 +|+************G**************G********###&&&&****&&####### &|&&&#####&&&&&%&&&===========&&&&&&&&&&&&&%##%&&***G&####%&G -10 +|+%&&&&&&%%######%%&&&&&&&&%###%%%&&%%%#########%&=GGG*GGG*G +|------------------------------------------------------------ -20 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.06 +|+ + + + + + *F-+| 0.05 +|+ + + + + + * **-+| #|###################################################**##** | 0.04 +|+#################################################*#**#**-+| AKG0.03 +|+#################################################*#***#+*+| 0.02 +|+#################################################*#***#+*+| #|#####################**###########################*##**##* | 0.01 +|-----------------------------------------------------------| 0 ******###************#####**************************###**#+-* 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 20 = 25. 20 +|+ 15 +|+ ##### ### ######## 10 +|+##%%%%%%%%#####%%%%%%%%########%%&&&&&&&&%############## 5 +|+&&&&&&&&&&&&&&&&&&&&&&&&&%##%%&&==========&&&%########## z &|&====********G******#####&&&&&==***********G**&&%######## 0 +|+*****####&&&======*********G****#####&&&&&&&=***&%###### G -5 +|+&&&&&&&&&&%###%&&&&======&&&&&&&&&&&&%%#####%&=**GGGG##G=G -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+####G### + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.03 +|+ + + + + + +-+| 0.025 +|+ + + + + + F +-+| 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+|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+####G### + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.02 +|+ + + + + + +-+| +| + + + + + F +| 0.015 +|+###################################################**##*-+| #|####################################################**##** | AKG 0.01 +|+##################################################*#*#*+*+| #|#####################**############################*#*#*#* | 0.005 +|+###***############**#**###########################*#*#*+-*| +|-----------------------------------------------------------| 0 *****#####***********######**************************###*#+-+ 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 30 = 35. 20 +|+ 15 +|+ ##### ### ######## 10 +|+##%%%%%%%%#####%%%%%%%%########%%&&&&&&&&%############## 5 +|+&&&&&&&&&&&&&&&&&&&&&&&&&%##%%&&==========&&&%########## z &|&====********G******#####&&&&&==***********G**&&%######## 0 +|+*****####&&&======*********G****#####&&&&&&&=***&%###### G -5 +|+&&&&&&&&&&%###%&&&&======&&&&&&&&&&&&%%#####%&=**GGGG##G=G -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+####G### + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.012 +|+ + + + + + F +-+| 0.01 +|+ + + + + + ** *-+| #|####################################################**##** | 0.008 +|+####################**#############################**#*+*+| AKG0.006 +|+###################*#**###########################*#*#*+*+| 0.004 +|+###***############*###*###########################*#*#*+*+| #|###*##**###########*####*##########################*##**# *| 0.002 +|-----------------------------------------------------------| 0 *****#####***********######********###***************###*#+-+ 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 35 = 40. 20 +|+ 15 +|+ ##### ### ######## 10 +|+##%%%%%%%%#####%%%%%%%%########%%&&&&&&&&%############## 5 +|+&&&&&&&&&&&&&&&&&&&&&&&&&%##%%&&==========&&&%########## z &|&====********G******#####&&&&&==***********G**&&%######## 0 +|+*****####&&&======*********G****#####&&&&&&&=***&####### G -5 +|+&&&&&&&&&&%###%&&&&======&&&&&&&&&&&&%%#####%&=**GGGG##G*G -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+####G### + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.025 +|+ + + + + + +-+| +| + + + + + F +| 0.02 +|+###################################################*##**-+| 0.015 +|+##################################################*#*#**-+| AKG #|###################################################*#*#*#* | 0.01 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-10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+####G### + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.02 +|+ + + + + + +-+| +| + + + + + * F* +| 0.015 +|+##################################################**##**-+| #|###################################################*#*#** | AKG 0.01 +|+##################################################*#*#**-+| #|####################***############################*#**#* | 0.005 +|+###***############**##*###########################*#**#+*+| +|-----------------------------------------------------------| 0 *****#####***********######**************************##*##+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 50 = 55. 20 +|+ 15 +|+ ##### #### ######## 10 +|+##%%%%%%%%#####%%%%%%%%########%%&&&&&&&&%############## 5 +|+&&&&&&&&&&&&&&&&&&&&&&&&&%##%%&&==========&&&%########## z &|&====********G******#####&&&&&==***********G**&&%######## 0 +|+*****####&&&======*********G****#####&&&&&&&=***&####### G -5 +|+&&&&&&&&&&%###%&&&&======&&&&&&&&&&&&%%#####%&=**GGGG##G*G -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+####G### + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.012 +|+ + + + + + +-+| 0.01 +|+ + + + + + F+-+| #|####################################################*##** | 0.008 +|+###################***############################*#*#**-+| AKG0.006 +|+###################*#**###########################*#*#**-+| 0.004 +|+###***############*###*###########################*#**#*-+| #|###*##**###########*####*##########################*#**#* | 0.002 +|-----------------------------------------------------------| 0 *****#####***********######********###***************##*##+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 55 = 60. 20 +|+ 15 +|+ ##### #### ######## 10 +|+##%%%%%%%%#####%%%%%%%%########%%&&&&&&&&%############## 5 +|+&&&&&&&&&&&&&&&&&&&&&&&&&%##%%&&==========&&&%########## z &|&====********G******#####&&&&&==***********G**&&%######## 0 +|+*****####&&&======*********G****#####&&&&&&&=***&####### G -5 +|+&&&&&&&&&&%###%&&&&======&&&&&&&&&&&&%%#####%&=**GGGG#GG*G -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+####G#G# + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.014 +|+ + + + + + F *+-+| 0.012 +|+ + + + + + * **-+| 0.01 +|+###################################################**#**-+| 0.008 +|+####################**############################*#*#**-+| AKG #|####################***############################*#*#** | 0.006 +|+###***############**##*###########################*#**#*-+| 0.004 +|+##**#**###########*###**##########################*#**#*-+| 0.002 +|-----------------------------------------------------------| 0 *****#####***********######********###***************##*##+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 60 = 65. 20 +|+ 15 +|+ ##### #### ######## 10 +|+##%%%%%%%%#####%%%%%%%%########%%&&&&&&&&%############## 5 +|+&&&&&&&&&&&&&&&&&&&&&&&&&%##%%&&==========&&&%########## z &|&====********G******#####&&&&&==***********G**&&%######## 0 +|+*****####&&&======*********G****#####&&&&&&&=***&####### G -5 +|+&&&&&&&&&&%###%&&&&======&&&&&&&&&&&&%%#####%&=**GGGG#GG*G -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+####G#G# + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.008 +|+ + + F* + + + *+-+| +| + + *** + + + * ** +| 0.006 +|+###################*##*############################**#**-+| #|####***############**##*###########################*#*#** | AKG0.004 +|+##**#*############*###*###########################*#**#*-+| #|###*##**###########*####*##########################*#**#* | 0.002 +|+##*###*##########**####*##########################*#**#*-+| +|-----------------------------------------------------------| 0 ****######+*********+######********####**************##*##+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 65 = 70. 20 +|+ 15 +|+ ##### ######## 10 +|+##%%%%%%%%#####################%%&&&&&&&&%############## 5 +|+&&&&&&&&&&&&&&&&&&&%%#######%%&&==========&&&%########## z &|&====********G*******&&&&&&&&&==***********G**&&%######## 0 +|+*****####&&&========G******G****#####&&&&&&&=***&####### G -5 +|+&&&&&&&&&&%####%%%%======&&&&&&&&&&&&%%#####%&=**GGGG#GG*G -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+####G#G# + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.012 +|+ + + + + + +-+| 0.01 +|+ + + + + + * F*-+| #|####################################################*##** | 0.008 +|+###################################################**#**-+| AKG0.006 +|+###################################################**#**-+| 0.004 +|+###***############################################*#*#**-+| #|###**#**###########################################*#**#* | 0.002 +|-----------------------------------------------------------| 0 *****#####*************************###****************#*##+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 70 = 75. 20 +|+ 15 +|+ ### ####### 10 +|+##%%%%%%%%#####################%%&&&&&&&&%############## 5 +|+&&&&&&&&&&&&&&&&&&&%%#######%%&&==========&&&%########## z &|&====********G*******&&&&&&&&&==***********G**&&%######## 0 +|+*****####&&&========G******G****#####&&&&&&&=***&####### G -5 +|+&&&&&&&&&&%####%%%%======&&&&&&&&&&&&%%#####%&=**GGGG#GG*G -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+####G#G# + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.02 +|+ + + + + + +-+| +| + + + + + F ** +| 0.015 +|+###################################################**#**-+| #|####################################################**#** | AKG 0.01 +|+##################################################*#*#**-+| #|###################################################*#*#** | 0.005 +|+##################################################*#**#+*+| +|-----------------------------------------------------------| 0 ******###********************************************###*#+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 75 = 80. 20 +|+ 15 +|+ ### ####### 10 +|+##%%%%%%%%#####################%%&&&&&&&&%############## 5 +|+&&&&&&&&&&&&&&&&&&&%%#######%%&&==========&&&%########## z &|&====********G*******&&&&&&&&&==***********G**&&%######## 0 +|+*****####&&&========G******G****#####&&&&&&&=***&####### G -5 +|+&&&&&&&&&&%####%%%%======&&&&&&&&&&&&%%#####%&=**GGGG#GG*G -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+###GG#G# + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.02 +|+ + + + + + +-+| +| + + + + + +| 0.015 +|+###################################################F##**-+| #|####################################################**#** | AKG 0.01 +|+###################################################**#**-+| #|###################################################*#*#** | 0.005 +|+##################################################*#**#*-+| +|-----------------------------------------------------------| 0 ******###*********************************************#**#+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 80 = 85. 20 +|+ 15 +|+ ### ####### 10 +|+##%%%%%%%%#####################%%&&&&&&&&%############## 5 +|+&&&&&&&&&&&&&&&&&&&%%#######%%&&==========&&&%########## z &|&====********G*******&&&&&&&&&==***********G**&&%######## 0 +|+*****####&&&========G******G****#####&&&&&&&=***&####### G -5 +|+&&&&&&&&&&%####%%%%======&&&&&&&&&&&&%%#####%&=**GGGG#GG*G -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+###GG#G# + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.012 +|+ + + + + + +-+| 0.01 +|+ + + + + + F +-+| #|####################################################**#** | 0.008 +|+###################################################**#**-+| AKG0.006 +|+###################################################**#**-+| 0.004 +|+##################################################*#*#**-+| #|####***############################################*#**** | 0.002 +|-----------------------------------------------------------| 0 *****#####********************************************#**#+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 85 = 90. 20 +|+ 15 +|+ ### ####### 10 +|+##%%%%%%%%#####################%%&&&&&&&&%############## 5 +|+&&&&&&&&&&&&&&&&&&&%%#######%%&&==========&&&%########## z &|&====********G*******&&&&&&&&&==***********G**&&%######## 0 +|+*****####&&&========G******G****#####&&&&&&&=***&####### G -5 +|+&&&&&&&&&&%####%%%%======&&&&&&&&&&&&%%#####%&=**GGGG#GG*G -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+###GG#G# + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.008 +|+ + + + + + * F+-+| +| + + + + + ** ** +| 0.006 +|+###################################################**#**-+| #|####################################################**#** | AKG0.004 +|+###################################################**#**-+| #|####***############################################*#**** | 0.002 +|+##*##**###########################################*#**#*-+| +|-----------------------------------------------------------| 0 *****#####*************************###****************#*##+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign multiplot> " font ":Bold,8.8" textcolor rgb " ^ line 0: invalid command | n = 5 + 90 = 95. 20 +|+ 15 +|+ ## ####### 10 +|+##%%%%%%%%#####################%%&&&&&&&&%############## 5 +|+&&&&&&&&&&&&&&&&&&&%%#######%%&&==========&&&########### z &|&====********G*******&&&&&&&&&==***********G**&&######### 0 +|+*****####&&&========G******G****####&&&&&&&&=***&####### G -5 +|+&&&&&&&&&&%####%%%%======&&&&&&&&&&&&%%#####%&=**GGGG#GG*G -10 +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+###GG#G# + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.014 +|+ + + + + + +-+| 0.012 +|+ + + + + + * F*-+| 0.01 +|+###################################################**#**-+| 0.008 +|+###################################################**#**-+| AKG #|####################################################**#** | 0.006 +|+##################################################*#*#**-+| 0.004 +|+##################################################*#**#*-+| 0.002 +|-----------------------------------------------------------| 0 *****####*********************************************#**#+** 0 2 4 6 8 10 12 x : x z init001 : 0.00000 -0.9720 init002 : 3.00000 2.2249 init003 : 6.00000 -1.3279 init004 : 9.00000 4.3367 init005 : 12.00000 -9.3676 xg(187) : 11.21608 -11.1604 xg(180) : 10.79397 -8.6127 xg(200) : 12.00000 -8.3615 xg(182) : 10.91457 -14.2400 xg(173) : 10.37186 -5.0031 xg(191) : 11.45729 -9.9886 xg(200) : 12.00000 -3.8384 xg(176) : 10.55276 -8.9917 xg(175) : 10.49246 -10.3080 xg(194) : 11.63819 -9.3317 xg(192) : 11.51759 -8.1516 xg(192) : 11.51759 -11.6627 xg(177) : 10.61307 -10.7890 xg(192) : 11.51759 -11.2371 xg(177) : 10.61307 -9.0695 xg(192) : 11.51759 -12.0618 xg(178) : 10.67337 -7.5820 xg(192) : 11.51759 -11.4375 xg(185) : 11.09548 -7.2229 xg(181) : 10.85427 -8.1245 xg(181) : 10.85427 -11.0530 xg(194) : 11.63819 -8.8425 xg(180) : 10.79397 -9.7548 xg(180) : 10.79397 -10.1082 xg(193) : 11.57789 -12.6397 xg(181) : 10.85427 -10.7463 xg(194) : 11.63819 -7.4593 xg(193) : 11.57789 -12.3662 xg(181) : 10.85427 -10.7516 xg(180) : 10.79397 -7.5111 xg(181) : 10.85427 -12.1869 xg(193) : 11.57789 -7.4411 xg(192) : 11.51759 -10.8604 xg(192) : 11.51759 -9.8000 xg(180) : 10.79397 -10.7840 xg(192) : 11.51759 -9.9371 xg(192) : 11.51759 -12.2067 xg(180) : 10.79397 -9.4439 xg(180) : 10.79397 -9.1175 xg(192) : 11.51759 -6.8553 xg(192) : 11.51759 -8.1438 xg(180) : 10.79397 -9.9024 xg(192) : 11.51759 -8.1429 xg(180) : 10.79397 -12.4581 xg(192) : 11.51759 -8.1229 xg(191) : 11.45729 -10.0564 xg(180) : 10.79397 -12.7119 xg(191) : 11.45729 -11.7762 xg(180) : 10.79397 -12.7339 xg(191) : 11.45729 -10.6598 xg(191) : 11.45729 -8.1569 xg(190) : 11.39698 -13.1625 xg(180) : 10.79397 -9.0588 xg(180) : 10.79397 -7.2233 xg(180) : 10.79397 -11.7920 xg(180) : 10.79397 -11.9632 xg(191) : 11.45729 -8.5742 xg(191) : 11.45729 -12.8369 xg(180) : 10.79397 -11.1708 xg(191) : 11.45729 -8.4074 xg(078) : 4.64322 0.2049 xg(191) : 11.45729 -13.7117 xg(181) : 10.85427 -12.1460 xg(180) : 10.79397 -8.6257 xg(181) : 10.85427 -11.0934 xg(191) : 11.45729 -11.2605 xg(181) : 10.85427 -9.1240 xg(191) : 11.45729 -10.3707 xg(181) : 10.85427 -11.0277 xg(191) : 11.45729 -13.6778 xg(181) : 10.85427 -14.2564 xg(181) : 10.85427 -9.2309 xg(191) : 11.45729 -13.6053 xg(181) : 10.85427 -12.2575 xg(191) : 11.45729 -10.0214 xg(181) : 10.85427 -10.2504 xg(191) : 11.45729 -9.2331 xg(181) : 10.85427 -9.0875 xg(191) : 11.45729 -5.1982 xg(191) : 11.45729 -12.3442 xg(181) : 10.85427 -12.5662 xg(181) : 10.85427 -9.8463 xg(191) : 11.45729 -8.0077 xg(191) : 11.45729 -9.5119 xg(181) : 10.85427 -7.5714 xg(191) : 11.45729 -10.1194 xg(181) : 10.85427 -10.0332 xg(191) : 11.45729 -11.4904 xg(181) : 10.85427 -10.4281 xg(181) : 10.85427 -7.4724 xg(191) : 11.45729 -10.4064 xg(181) : 10.85427 -9.6100 xg(191) : 11.45729 -8.8806 xg(181) : 10.85427 -9.8023 xg(191) : 11.45729 -11.4770 Number of evaluations: 5 + 95 = 100. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe02.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe02.m ***** test stk_example_doe02; close all; #=========================# # stk_example_doe02 # #=========================# 'stk_example_doe02' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe02.m STK_EXAMPLE_DOE02 "Sequential Maximin" design In this example, a two-dimensional space-filling design is progressively enriched with new points using a "sequential maximin" approach. More precisely, the k-th point X(k, :) is selected to maximize the distance to the set of all previously selected points X(1, :), X(2, :), ..., X(k-1, :). NOTES: * The resulting design is NOT optimal with respect to the maximin criterion (separation distance). * This procedure is not truly a *sequential* design procedure, since the choice of the k-th point X(k, :) does NOT depend on the response at the previously selected locations X(i, :), i < k. REFERENCE [1] Emmanuel Vazquez and Julien Bect, "Sequential search based on kriging: convergence analysis of some algorithms", In: ISI - 58th World Statistics Congress of the International Statistical Institute (ISI'11), Dublin, Ireland, August 21-26, 2011. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. line 0: warning: iconv failed to convert degree sign gnuplot> " font ":Bold,10" textcolor rgb " ^ line 0: invalid command |----------------------n = 10, fd = 2.89e-01-------------------------| 1 +|+ + + + + +-+| +| F + + + + +| #|################################################################### | #|#####################################################F############# | 0.8 +|+##############################F##################################+-+| #|################################################################### | #|################################################################### F| 0.6 +|+#############################################F###################+-+| #|################################################################### | #|##F################################################################ | #|######################F############################################ | 0.4 +|+#############################################################F###+-+| #|################################################################### | #|################################################################### | 0.2 +|+######################################F##########################+-+| #|################################################################### | #|################F################################################## | +|---------------------------------------------------------------------| 0 +-+###########+#############+#############+#############+###########+-+ 0 0.2 0.4 0.6 0.8 1 line 0: warning: iconv failed to convert degree sign gnuplot> " font ":Bold,10" textcolor rgb " ^ line 0: invalid command |----------------------n = 11, fd = 2.88e-01-------------------------| 1 +|+ + + + + +-+| +| F + + + + +| #|################################################################### | #|#####################################################F############# | 0.8 +|+##############################F##################################+-+| #|################################################################### | #|################################################################### F| 0.6 +|+#############################################F###################+-+| #|################################################################### | #|##F################################################################ | #|######################F############################################ | 0.4 +|+#############################################################F###+-+| #|################################################################### | #|################################################################### | 0.2 F|+######################################F##########################+-+| #|################################################################### | #|################F################################################## | +|---------------------------------------------------------------------| 0 +-+###########+#############+#############+#############+###########+-+ 0 0.2 0.4 0.6 0.8 1 line 0: warning: iconv failed to convert degree sign gnuplot> " font ":Bold,10" textcolor rgb " ^ line 0: invalid command |----------------------n = 12, fd = 2.62e-01-------------------------| 1 +|+ + + + + +-F| +| F + + + + +| #|################################################################### | #|#####################################################F############# | 0.8 +|+##############################F##################################+-+| #|################################################################### | #|################################################################### F| 0.6 +|+#############################################F###################+-+| #|################################################################### | #|##F################################################################ | #|######################F############################################ | 0.4 +|+#############################################################F###+-+| #|################################################################### | #|################################################################### | 0.2 F|+######################################F##########################+-+| #|################################################################### | #|################F################################################## | +|---------------------------------------------------------------------| 0 +-+###########+#############+#############+#############+###########+-+ 0 0.2 0.4 0.6 0.8 1 line 0: warning: iconv failed to convert degree sign gnuplot> " font ":Bold,10" textcolor rgb " ^ line 0: invalid command |----------------------n = 13, fd = 2.53e-01-------------------------| 1 +|+ + + + + +-F| +| F + + + + +| #|################################################################### | #|#####################################################F############# | 0.8 +|+##############################F##################################+-+| #|###############F################################################### | #|################################################################### F| 0.6 +|+#############################################F###################+-+| #|################################################################### | #|##F################################################################ | #|######################F############################################ | 0.4 +|+#############################################################F###+-+| #|################################################################### | #|################################################################### | 0.2 F|+######################################F##########################+-+| #|################################################################### | #|################F################################################## | +|---------------------------------------------------------------------| 0 +-+###########+#############+#############+#############+###########+-+ 0 0.2 0.4 0.6 0.8 1 line 0: warning: iconv failed to convert degree sign gnuplot> " font ":Bold,10" textcolor rgb " ^ line 0: invalid command |----------------------n = 14, fd = 2.48e-01-------------------------| 1 +|+ + F + + + +-F| +| F + + + + +| #|################################################################### | #|#####################################################F############# | 0.8 +|+##############################F##################################+-+| #|###############F################################################### | #|################################################################### F| 0.6 +|+#############################################F###################+-+| #|################################################################### | #|##F################################################################ | #|######################F############################################ | 0.4 +|+#############################################################F###+-+| #|################################################################### | #|################################################################### | 0.2 F|+######################################F##########################+-+| #|################################################################### | #|################F################################################## | +|---------------------------------------------------------------------| 0 +-+###########+#############+#############+#############+###########+-+ 0 0.2 0.4 0.6 0.8 1 line 0: warning: iconv failed to convert degree sign gnuplot> " font ":Bold,10" textcolor rgb " ^ line 0: invalid command |----------------------n = 15, fd = 2.46e-01-------------------------| 1 +|+ + F + + + +-F| +| F + + + + +| #|################################################################### | #|#####################################################F############# | 0.8 +|+##############################F##################################+-+| #|###############F################################################### | #|################################################################### F| 0.6 +|+#############################################F###################+-+| #|################################################################### | #|##F################################################################ | #|######################F############################################ | 0.4 +|+#############################################################F###+-+| #|################################################################### | #|################################################################### | 0.2 F|+######################################F##########################+-+| #|################################################################### | #|################F################################################## | +|---------------------------------------------------------------------| 0 +-+F##########+#############+#############+#############+###########+-+ 0 0.2 0.4 0.6 0.8 1 line 0: warning: iconv failed to convert degree sign gnuplot> " font ":Bold,10" textcolor rgb " ^ line 0: invalid command |----------------------n = 16, fd = 2.41e-01-------------------------| 1 +|+ + F + + + +-F| +| F + + + + +| #|################################################################### | #|#####################################################F############# | 0.8 +|+##############################F##################################+-+| #|###############F################################################### | #|################################################################### F| 0.6 +|+#############################################F###################+-+| #|################################################################### | #|##F################################################################ | #|######################F############################################ | 0.4 +|+#############################################################F###+-+| #|################################################################### | #|################################################################### | 0.2 F|+######################################F##########################+-+| #|################################################################### | #|################F################################################## | +|---------------------------------------------------------------------| 0 +-+F##########+#############+####F########+#############+###########+-+ 0 0.2 0.4 0.6 0.8 1 line 0: warning: iconv failed to convert degree sign gnuplot> " font ":Bold,10" textcolor rgb " ^ line 0: invalid command |----------------------n = 17, fd = 2.39e-01-------------------------| 1 +|+ + F + F+ + +-F| +| F + + + + +| #|################################################################### | #|#####################################################F############# | 0.8 +|+##############################F##################################+-+| #|###############F################################################### | #|################################################################### F| 0.6 +|+#############################################F###################+-+| #|################################################################### | #|##F################################################################ | #|######################F############################################ | 0.4 +|+#############################################################F###+-+| #|################################################################### | #|################################################################### | 0.2 F|+######################################F##########################+-+| #|################################################################### | #|################F################################################## | +|---------------------------------------------------------------------| 0 +-+F##########+#############+####F########+#############+###########+-+ 0 0.2 0.4 0.6 0.8 1 line 0: warning: iconv failed to convert degree sign gnuplot> " font ":Bold,10" textcolor rgb " ^ line 0: invalid command |----------------------n = 18, fd = 2.23e-01-------------------------| 1 +|+ + F + F+ + +-F| +| F + + + + +| #|################################################################### | #|#####################################################F############# | 0.8 +|+##############################F##################################+-+| #|###############F################################################### | #|################################################################### F| 0.6 +|+#############################################F###################+-+| #|################################################################### | #|##F################################################################ | #|######################F##############F############################# | 0.4 +|+#############################################################F###+-+| #|################################################################### | #|################################################################### | 0.2 F|+######################################F##########################+-+| #|################################################################### | #|################F################################################## | +|---------------------------------------------------------------------| 0 +-+F##########+#############+####F########+#############+###########+-+ 0 0.2 0.4 0.6 0.8 1 line 0: warning: iconv failed to convert degree sign gnuplot> " font ":Bold,10" textcolor rgb " ^ line 0: invalid command |----------------------n = 19, fd = 2.20e-01-------------------------| 1 +|+ + F + F+ + +-F| +| F + + + + +| #|################################################################### | #|#####################################################F############# | 0.8 +|+##############################F##################################+-+| F|###############F################################################### | #|################################################################### F| 0.6 +|+#############################################F###################+-+| #|################################################################### | #|##F################################################################ | #|######################F##############F############################# | 0.4 +|+#############################################################F###+-+| #|################################################################### | #|################################################################### | 0.2 F|+######################################F##########################+-+| #|################################################################### | #|################F################################################## | +|---------------------------------------------------------------------| 0 +-+F##########+#############+####F########+#############+###########+-+ 0 0.2 0.4 0.6 0.8 1 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe03.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe03.m ***** test stk_example_doe03; close all; #=========================# # stk_example_doe03 # #=========================# 'stk_example_doe03' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe03.m STK_EXAMPLE_DOE03 A simple illustration of 1D Bayesian optimization Our goal here is to optimize (maximize) the one-dimensional function x |--> x * sin (x) over the interval [0; 4 * pi]. A Matern 5/2 prior with known parameters is used. Evaluations points are chosen sequentially using the Expected Improvement (EI) criterion, starting from an initial design of N0 = 3 points. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. 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+|+################%%&&&&&&%######################%====&&==== +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.0006 +|+ + + + + + +-+| 0.0005 +|+ + +*F + + + +-+| #|###################***################################### | 0.0004 +|+#################*##*##################################+-+| EI 0.0003 +|+#################*##*##################################+-+| 0.0002 +|+#################*##**#################################+-+| #|#################**###*################################## | 0.0001 +|-----------------------------------------------------------| 0 ********************+####***********#************************ 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign | 10 +|+ | #### #&&F**GG*G** ####### 5 +|+&&&&&&&&&&&&#################&****&######*G*&&&&&&&%%### 0 +|+*****G******G**&&%####%%%%%&***&&##########****###&&&&%# z #|&&&&&%########&*****G&&&****G*&%#############&=******#&&&% -5 +|+###############&&&&*****=&&##################%===##******G -10 +|+#####################%%%%######################%====&&==== +|------------------------------------------------------------ -15 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.00014 +|+ + + + + + +-+| 0.00012 +|+ + + + F + + +-+| 0.0001 +|+################################**#####################+-+| 8e-05 +|+################################**#####################+-+| #|#################################*#*##################### | 6e-05 +|+################################*#*####################+-+| 4e-05 +|+################################*#*#############***####+-+| 2e-05 +|-----------------------------------------------------------| 0 ***********************************##**************###******* 0 2 4 6 8 10 12 x : x z x0(001) : 0.00000 0.00000 x0(002) : 6.00000 -1.67649 x0(003) : 12.00000 -6.43888 xg(057) : 1.68421 1.67339 xg(099) : 2.94737 0.56886 xg(282) : 8.45113 6.98861 xg(299) : 8.96241 3.99788 xg(268) : 8.03008 7.90589 xg(258) : 7.72932 7.66935 xg(265) : 7.93985 7.91060 xg(266) : 7.96992 7.91642 xg(145) : 4.33083 -4.01937 Number of evaluations: 3 + 9 = 12. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe01.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe01.m ***** test stk_example_doe01; close all; #=========================# # stk_example_doe01 # #=========================# 'stk_example_doe01' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe01.m STK_EXAMPLE_DOE01 Examples of two-dimensional designs All designs are constructed on the hyper-rectangle BOX = [0; 2] x [0; 4]. Examples of the following designs are shown: a) Regular grid --> stk_sampling_regulargrid, b) "Maximin" latin hypercube sample --> stk_sampling_maximinlhs, c) RR2-scrambled Halton sequence --> stk_sampling_halton_rr2, d) Uniformly distributed random sample --> stk_sampling_randunif. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb01.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb01.m ***** test stk_example_kb01; close all; #========================# # stk_example_kb01 # #========================# 'stk_example_kb01' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb01.m STK_EXAMPLE_KB01 Ordinary kriging in 1D, with noiseless data This example shows how to compute ordinary kriging predictions on a one-dimensional noiseless dataset. The word 'ordinary' indicates that the mean function of the GP prior is assumed to be constant and unknown. A Matern covariance function is used for the Gaussian Process (GP) prior. The parameters of this covariance function are assumed to be known (i.e., no parameter estimation is performed here). Note that the kriging predictor, which is the posterior mean of the GP, interpolates the data in this noiseless example. See also: stk_example_kb01n, stk_example_kb02 Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov_iso lm = dim = 1 param = -0.6931 1.3863 0.9163 lognoisevariance = -Inf line 0: warning: iconv failed to convert degree sign | True function and observed data 1.5 +|+ | ****G** +--------------------+ #|#######***#####****#######################|***?***True function| 1 +|+####***##########***#####################+---G---Observations-+ #|####**##############**######################################### #|###**################**######################################## 0.5 +|+#**##################**###########################*****G###### #|*G######################**######################***######***### 0 +|*########################**####################G*##########***# G|##########################**#################***#############*** #|###########################**###############**#################** -0.5 +|+###########################**#############**################## * #|#############################**###########**################### #|##############################*G#########**#################### -1 +|+##############################***#####**###################### #|#################################*******####################### +|------------------------------------------------------------------ -1.5 +-+##############+###############+################+############## + -1 -0.5 0 0.5 1 input variable x 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb01n.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb01n.m ***** test stk_example_kb01n; close all; #=========================# # stk_example_kb01n # #=========================# 'stk_example_kb01n' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb01n.m STK_EXAMPLE_KB01N Ordinary kriging in 1D, with noisy data This example shows how to compute ordinary kriging predictions on a one-dimensional noisy dataset. The Gaussian Process (GP) prior is the same as in stk_example_kb01. The observation noise is Gaussian and homoscedastic (constant variance). Its variance is assumed to be known. Note that the kriging predictor, which is the posterior mean of the GP, does NOT interpolate the data in this noisy example. See also: stk_example_kb01, stk_example_kb02n Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov_iso lm = dim = 1 param = -0.6931 1.3863 0.9163 lognoisevariance = -3.2189 line 0: warning: iconv failed to convert degree sign | True function and observed data 1.5 +|+ | G******* +--------------------+ #|#######***##G##G***#######################|***?***True function| 1 +|+####G**##########*G*#####################+---G---Observations-+ #|####**##############**######################################### #|###**################*G###########################G############ 0.5 G|+#**##################**###########################******G###G# #|*G######################**######################***###G##***### 0 +|*########################**####################**##########***# *|##########################**#################**G#############*** #|###########################**###############**#################*G -0.5 +|+#########################G#*G#############**################## * #|#############################**###########*G################### #|##############################**#G#######**#################### -1 +|+##############################***#####*G###################### #|#################################***G***####################### +|------------------------------------------------------------------ -1.5 +-+##############+###############+################+############## + -1 -0.5 0 0.5 1 input variable x 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb07.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb07.m ***** test stk_example_kb07; close all; #========================# # stk_example_kb07 # #========================# 'stk_example_kb07' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb07.m STK_EXAMPLE_KB07 Simulation of sample paths from a Matern process Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. line 0: warning: iconv failed to convert degree sign |--Matern, nu = 0.5------| |--Matern, nu = 1.5------| 3 +|% + + + % +-+| 3 +|+ + + + +-+| 2 +|%# &&& # @@###*%%*%%+-+| 2 +|+ &&& + + +-+| *|###&*&&&##########%%%%%%| @|#&#&###$$$&&#$$$$***##%%| 1 *|####***#######*####*#&%%| 1 *|#####=####********@*####| response z#|#**######*##*==*#*#####response z*|#$=*****###=**######*##*| -1 #|***#####***&%%==***#####| -1 #|***@******#####*@===*==*| #|#====###***#%#=#@=&==###| =|**#**@#%**%###%%%###****| -2 +|------------------------| -2 +|------------------------| -3 +-+###+######+#####+###+-+ -3 +-+###+######+#####+###+-+ -1 -0.5 0 0.5 1 -1 -0.5 0 0.5 1 |--Matern, nu = 2.5------| |--Matern, nu = 10.0-----| 2 +|** + @@ + +-+| 3 +|+ + + + +-+| *|*********@@@@ $$$$%%%%%| 2 +|+ ******* + +******| 1 +|*@********#%@@$&&%%%**##| 1 &|****&&&&#####%%%***#****| 0 *|=###@@#**#**&&&&@&****##| 0 *|*=#######==*####*#######| response z#|##=###########******&##response z*|###**===*******###**====| -1 &|%&#$=###&&&==#########=&| -1 #|+######**@@##@@@***&#+-+| -2 $|$$&$#=&&&===#########+-+| -2 +|+########**@@@#**##&&&&&| +|------------------------| -3 +|------------------------| -3 +-+###+##=###+#####+###+-+ -4 +-+###+######+#####+###+-+ -1 -0.5 0 0.5 1 -1 -0.5 0 0.5 1 input variable x input variable x 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb03.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb03.m ***** test stk_example_kb03; close all; #========================# # stk_example_kb03 # #========================# 'stk_example_kb03' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb03.m STK_EXAMPLE_KB03 Ordinary kriging in 2D An anisotropic Matern covariance function is used for the Gaussian Process (GP) prior. The parameters of this covariance function (variance, regularity and ranges) are estimated using the Restricted Maximum Likelihood (ReML) method. The mean function of the GP prior is assumed to be constant and unknown. This default choice can be overridden by means of the model.lm property. The function is sampled on a space-filling Latin Hypercube design, and the data is assumed to be noiseless. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. BOX = 2-dimensional hyper-rectangle (stk_hrect object): : x_1 x_2 lower_bounds : -5 0 upper_bounds : 10 15 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb02n.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb02n.m ***** test stk_example_kb02n; close all; #=========================# # stk_example_kb02n # #=========================# 'stk_example_kb02n' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb02n.m STK_EXAMPLE_KB02N Noisy ordinary kriging in 1D with parameter estimation This example shows how to estimate covariance parameters and compute ordinary kriging predictions on a one-dimensional noisy dataset. The model and data are the same as in stk_example_kb02, but this time the parameters of the covariance function and the variance of the noise are jointly estimated using the Restricted Maximum Likelihood (ReML) method. See also: stk_example_kb01n, stk_example_kb02 Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov_iso lm = dim = 1 param = -0.098610 2.302585 0.613435 lognoisevariance = -3.0915 True noise variance = 0.0400 Estimated noise variance = 0.0454 line 0: warning: iconv failed to convert degree sign | True function and noisy observed data 1.5 +|+ | G ***** +--------------------+ #|#######***##G##G**########################|***?***True function| 1 +|+####G**#########**G######################+---G---Observations-+ #|####**#############***######################################### #|###**################**######################################## 0.5 +|+#**##################G*##########################G#***######## G|#**####################**########################****#G**G*##G# #|*G######################**#####################***########***## F1 0 *|+########################**###################**############*** *|##########################**#################**G##############**G #|###########################**G##############**#################** -0.5 +|+#########################G#**#############**################## #|#############################**###########*G################### #|##############################***G######**##################### -1 +|+###############################**#####*G###################### #|#################################***G**######################## +|------------------------------------------------------------------ -1.5 +-+##############+###############+################+############## + -1 -0.5 0 0.5 1 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb08.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb08.m ***** test stk_example_kb08; close all; #========================# # stk_example_kb08 # #========================# 'stk_example_kb08' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb08.m STK_EXAMPLE_KB08 Generation of conditioned sample paths made easy It has been demonstrated, in stk_example_kb05, how to generate conditioned sample paths using unconditioned sample paths and conditioning by kriging. This example shows how to do the same in a more concise way, letting STK take care of the details. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb09.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb09.m ***** test stk_example_kb09; close all; #========================# # stk_example_kb09 # #========================# 'stk_example_kb09' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb09.m STK_EXAMPLE_KB09 Generation of sample paths conditioned on noisy observations A Matern Gaussian process model is used, with constant but unknown mean (ordinary kriging) and known covariance parameters. Given noisy observations from the unknown function, a batch of conditioned sample paths is drawn using the "conditioning by kriging" technique (stk_generate_samplepaths function). See also: stk_generate_samplepaths, stk_conditioning, stk_example_kb05 Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb02.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb02.m ***** test stk_example_kb02; close all; #========================# # stk_example_kb02 # #========================# 'stk_example_kb02' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb02.m STK_EXAMPLE_KB02 Ordinary kriging in 1D with parameter estimation This example shows how to estimate covariance parameters and compute ordinary kriging predictions on a one-dimensional noiseless dataset. The model and data are the same as in stk_example_kb01, but this time the parameters of the covariance function are estimated using the Restricted Maximum Likelihood (ReML) method. See also: stk_example_kb01, stk_example_kb02n Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov_iso lm = dim = 1 param = -0.2108 2.3026 0.7562 lognoisevariance = -Inf line 0: warning: iconv failed to convert degree sign | True function and observed data 1.5 +|+ | ***G* +--------------------+ #|#######***#####***########################|***?***True function| 1 +|+#####**#########***######################+---G---Observations-+ #|####**#############***######################################### #|###**################**######################################## 0.5 +|+#**##################**############################***######## #|#G*####################**########################****##*G**#### #|**######################**#####################G**########***## F1 0 *|+########################**###################**############*** G|##########################**#################**###############** #|###########################**###############**#################** -0.5 +|+###########################**#############**################## #|#############################**###########*#################### #|##############################*G*#######**##################### -1 +|+###############################**#####**###################### #|#################################******######################## +|------------------------------------------------------------------ -1.5 +-+##############+###############+################+############## + -1 -0.5 0 0.5 1 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb06.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb06.m ***** test stk_example_kb06; close all; #========================# # stk_example_kb06 # #========================# 'stk_example_kb06' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb06.m STK_EXAMPLE_KB06 Ordinary kriging VS kriging with a linear trend The same dataset is analyzed using two variants of kriging. The left panel shows the result of ordinary kriging, in other words, Gaussian process interpolation assuming a constant (but unknown) mean. The right panel shows the result of adding a linear trend in the mean of the Gaussian process. The difference with the left plot is clear in extrapolation: the first predic- tor exhibits a "mean reverting" behaviour, while the second one captures an increasing trend in the data. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb05.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb05.m ***** test stk_example_kb05; close all; #========================# # stk_example_kb05 # #========================# 'stk_example_kb05' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb05.m STK_EXAMPLE_KB05 Generation of conditioned sample paths A Matern Gaussian process model is used, with constant but unknown mean (ordinary kriging) and known covariance parameters. Given noiseless observations from the unknown function, a batch of conditioned sample paths is drawn using the "conditioning by kriging" technique. In short, this means that unconditioned sample path are simulated first (using stk_generate_samplepaths), and then conditioned on the observations by kriging (using stk_conditioning). Note: in this example, for pedagogical purposes, conditioned samplepaths are simulated in two steps: first, unconditioned samplepaths are simulated; second, conditioned samplepaths are obtained using conditioning by kriging. In practice, these two steps can be carried out all at once using stk_generate_samplepath (see, e.g., stk_example_kb09). See also: stk_generate_samplepaths, stk_conditioning, stk_example_kb09 Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testfun_hartman6.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_hartman6.m ***** test x1 = [0.20169 0.150011 0.476874 0.275332 0.311652 0.657300]; y1 = -3.322368011391339; x2 = [0.20168952 0.15001069 0.47687398 0.27533243 0.31165162 0.65730054]; y2 = -3.322368011415512; y = stk_testfun_hartman6 ([x1; x2]); assert (stk_isequal_tolabs (y, [y1; y2], 1e-15)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testfun_hartman3.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_hartman3.m ***** test x1 = [0.1, 0.55592003, 0.85218259]; y1 = -3.862634748621772; x2 = [0.114614 0.554649 0.852547]; y2 = -3.862747199255087; y = stk_testfun_hartman3 ([x1; x2]); assert (stk_isequal_tolabs (y, [y1; y2], 1e-15)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testcase_truss3.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testcase_truss3.m ***** shared tc, xd, n tc = stk_testcase_truss3 (); n = 5; xd = stk_sampling_randunif (n, [], tc.search_domain); ***** test v = stk_testfun_truss3_vol (xd, tc.constants); z = stk_testfun_truss3_bb (xd, tc.constants); assert (isequal (size (v), [n 1])); assert (isequal (size (z), [n 5])); ***** test F = stk_dataframe (zeros (n, 2), {'F1' 'F2'}); F(:, 1) = tc.constants.F1_mean + tc.constants.F1_std * randn (n, 1); F(:, 2) = tc.constants.F2_mean + tc.constants.F2_std * randn (n, 1); x = [xd F]; v = stk_testfun_truss3_vol (x, tc.constants); z = stk_testfun_truss3_bb (x, tc.constants); assert (isequal (size (v), [n 1])); assert (isequal (size (z), [n 5])); 2 tests, 2 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testfun_goldsteinprice.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_goldsteinprice.m ***** test % Use with nargin == 0 for visualisation stk_testfun_goldsteinprice (); close all; ***** assert (stk_isequal_tolabs ... (stk_testfun_goldsteinprice ([0, -1]), 3.0, 1e-12)) 2 tests, 2 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testfun_hartman4.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_hartman4.m ***** test x = [0.1873 0.1906 0.5566 0.2647 ; 0.18744768 0.19414868 0.558005333 0.26476409]; y = stk_testfun_hartman4 (x); assert (stk_isequal_tolabs (y, ... [-3.729722308557300; -3.729840440436292], 1e-15)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/core/stk_make_matcov.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_make_matcov.m ***** shared model, model2, x0, x1, n0, n1, d, Ka, Kb, Kc, Pa, Pb, Pc n0 = 20; n1 = 10; d = 4; model = stk_model (@stk_materncov52_aniso, d); model.lm = stk_lm_affine; model.param = log ([1.0; 2.1; 2.2; 2.3; 2.4]); model2 = model; model2.lognoisevariance = log(0.01); x0 = stk_sampling_randunif (n0, d); x1 = stk_sampling_randunif (n1, d); ***** error [KK, PP] = stk_make_matcov (); ***** error [KK, PP] = stk_make_matcov (model); ***** test [Ka, Pa] = stk_make_matcov (model, x0); % (1) ***** test [Kb, Pb] = stk_make_matcov (model, x0, x0); % (2) ***** test [Kc, Pc] = stk_make_matcov (model, x0, x1); % (3) ***** error [KK, PP] = stk_make_matcov (model, x0, x1, pi); ***** assert (isequal (size (Ka), [n0 n0])); ***** assert (isequal (size (Kb), [n0 n0])); ***** assert (isequal (size (Kc), [n0 n1])); ***** assert (isequal (size (Pa), [n0 d + 1])); ***** assert (isequal (size (Pb), [n0 d + 1])); ***** assert (isequal (size (Pc), [n0 d + 1])); ***** assert (isequal (Kb, Ka)); ***** test [Ka, Pa] = stk_make_matcov (model2, x0); % (1') ***** test [Kb, Pb] = stk_make_matcov (model2, x0, x0); % (2') ***** error assert (isequal (Kb, Ka)); ***** assert (isequal (Pa, Pb)); ***** assert (isequal (Pa, Pc)); 18 tests, 18 passed, 0 known failure, 0 skipped [inst/core/stk_model_update.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_model_update.m ***** test x1 = (linspace (0, 1, 15))'; z1 = sin (x1); x2 = (linspace (2, 3, 15))'; z2 = sin (x2); xt = (linspace (1, 2, 15))'; zt = sin (xt); % Prior model M0 = stk_model (@stk_materncov32_iso); M0.param = log ([1.0; 2.1]); M1 = stk_model_update (M0, x1, z1); M1 = stk_model_update (M1, x2, z2); % this calls @stk_model_gpposterior/... zp1 = stk_predict (M1, xt); M2 = stk_model_gpposterior (M0, [x1; x2], [z1; z2]); zp2 = stk_predict (M2, xt); assert (stk_isequal_tolabs (double (zp2 - zp1), zeros (15, 2), 1e-10)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/core/stk_cholcov.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_cholcov.m ***** shared Q, K, L, U, epsi Q = 0.25 * hadamard(4); ***** test K = Q * diag ([1, 0.1, 0.01, 1e-7]) * Q'; [U, epsi] = stk_cholcov (K); ***** assert (istriu (U)) ***** assert (epsi == 0) ***** test K = Q * diag ([1, 0.1, 0.01, 1e-7]) * Q'; [L, epsi] = stk_cholcov (K, 'lower'); ***** assert (istril (L)) ***** assert (epsi == 0) ***** test K = Q * diag ([1, 0.1, 0.01, -1e-7]) * Q'; [U, epsi] = stk_cholcov (K); ***** assert (istriu (U)) ***** assert (epsi > 0) ***** test K = Q * diag ([1, 0.1, 0.01, -1e-7]) * Q'; [L, epsi] = stk_cholcov (K, 'lower'); ***** assert (istril (L)) ***** assert (epsi > 0) 12 tests, 12 passed, 0 known failure, 0 skipped [inst/core/stk_predict.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_predict.m ***** shared n, m, model, x0, x_obs, z_obs, x_prd, y_prd1, idx_obs, idx_prd n = 10; % number of observations m = n + 1; % number of predictions d = 1; % dimension of the input space x0 = stk_sampling_regulargrid(n+m, d, [0; pi]); idx_obs = (2:2:(n+m-1))'; idx_prd = (1:2:(n+m))'; x_obs = x0(idx_obs); z_obs = sin (double (x_obs)); x_prd = x0(idx_prd); model = stk_model (@stk_materncov32_iso); model.param = log ([1.0; 2.1]); ***** error y_prd1 = stk_predict (); ***** error y_prd1 = stk_predict (model); ***** test y_prd1 = stk_predict (model, x_prd); ***** error y_prd1 = stk_predict (model, data, x_prd); ***** test y_prd1 = stk_predict (model, x_obs, z_obs, x_prd); ***** error y_prd1 = stk_predict (model, [x_obs; x_obs], [z_obs; z_obs], x_prd); ***** test % nargout = 2 [y_prd1, lambda] = stk_predict (model, x_obs, z_obs, x_prd); assert (isequal (size (lambda), [n m])); ***** test % nargout = 2, compute only variances [y_prd1, lambda] = stk_predict (model, x_obs, [], x_prd); assert (isequal (size (lambda), [n m])); assert (all (isnan (y_prd1.mean))); ***** test % nargout = 3 [y_prd1, lambda, mu] = stk_predict (model, x_obs, z_obs, x_prd); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging ***** test % nargout = 4 [y_prd1, lambda, mu, K] = stk_predict (model, x_obs, z_obs, x_prd); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging assert (isequal (size (K), [m m])); ***** test % predict on large set of locations x_prd = stk_sampling_regulargrid (1e5, 1, [0; pi]); y_prd = stk_predict (model, x_obs, z_obs, x_prd); ***** test % predict on an observation point % https://sourceforge.net/p/kriging/tickets/49/ [zp, lambda] = stk_predict (model, x_obs, z_obs, x_obs(4)); assert (isequal (z_obs(4), zp.mean)) assert (isequal (zp.var, 0)) lambda_ref = zeros (n, 1); lambda_ref(4) = 1; assert (isequal (lambda, lambda_ref)) 12 tests, 12 passed, 0 known failure, 0 skipped [inst/core/@stk_kreq_qr/stk_kreq_qr.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/@stk_kreq_qr/stk_kreq_qr.m ***** test stk_test_class ('stk_kreq_qr') 1 test, 1 passed, 0 known failure, 0 skipped [inst/core/stk_predict_leaveoneout.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_predict_leaveoneout.m ***** shared n, x_obs, z_obs, model n = 20; x_obs = stk_sampling_regulargrid (n, 1, [0; 2*pi]); z_obs = stk_feval (@sin, x_obs); model = stk_model (@stk_materncov32_iso); model.param = log ([1; 5]); ***** test % one output loo_pred = stk_predict_leaveoneout (model, x_obs, z_obs); assert (isequal (size (loo_pred), [n 2])); assert (isequal (loo_pred.colnames, {'mean', 'var'})); assert (all (isfinite (loo_pred(:)))); ***** test % two outputs [loo_pred, loo_res] = stk_predict_leaveoneout (model, x_obs, z_obs); assert (isequal (size (loo_pred), [n 2])); assert (isequal (loo_pred.colnames, {'mean', 'var'})); assert (all (isfinite (loo_pred(:)))); assert (isequal (size (loo_res), [n 2])); assert (isequal (loo_res.colnames, {'residuals', 'norm_res'})); assert (all (isfinite (loo_res(:)))); ***** test % heteroscedastic noise case model.lognoisevariance = (1 + rand (n, 1)) * 1e-6; [loo_pred, loo_res] = stk_predict_leaveoneout (model, x_obs, z_obs); assert (isequal (size (loo_pred), [n 2])); assert (isequal (loo_pred.colnames, {'mean', 'var'})); assert (all (isfinite (loo_pred(:)))); assert (isequal (size (loo_res), [n 2])); assert (isequal (loo_res.colnames, {'residuals', 'norm_res'})); assert (all (isfinite (loo_res(:)))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_init_lnv.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_init_lnv.m ***** test f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); ni = 20; xi = (linspace (-1, 1, ni))' + 0.2 * (randn (ni, 1)); zi = stk_feval (f, xi); model = stk_model (@stk_materncov_iso); model.param = log ([1; 5/2; 1/0.4]); model.lognoisevariance = nan; lnv = stk_param_init_lnv (model, xi, zi); assert ((isscalar (lnv)) && (lnv > -30) && (lnv < 30)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_relik.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_relik.m ***** shared f, xi, zi, NI, model, C, dC1, dC2 f = @(x)(- (0.8 * x(:, 1) + sin (5 * x(:, 2) + 1) ... + 0.1 * sin (10 * x(:, 3)))); DIM = 3; NI = 20; box = repmat ([-1.0; 1.0], 1, DIM); xi = stk_sampling_halton_rr2 (NI, DIM, box); zi = stk_feval (f, xi); SIGMA2 = 1.0; % variance parameter NU = 4.0; % regularity parameter RHO1 = 0.4; % scale (range) parameter model = stk_model (@stk_materncov_aniso); model.param = log ([SIGMA2; NU; 1/RHO1 * ones(DIM, 1)]); ***** error [C, dC1, dC2] = stk_param_relik (); ***** error [C, dC1, dC2] = stk_param_relik (model); ***** error [C, dC1, dC2] = stk_param_relik (model, xi); ***** test [C, dC1, dC2] = stk_param_relik (model, xi, zi); ***** test TOL_REL = 0.01; assert (stk_isequal_tolrel (C, 21.6, TOL_REL)); assert (stk_isequal_tolrel (dC1, [4.387 -0.1803 0.7917 0.1392 2.580]', TOL_REL)); assert (isequal (dC2, [])); ***** shared xi, zi, model, TOL_REL xi = [-1 -.6 -.2 .2 .6 1]'; zi = [-0.11 1.30 0.23 -1.14 0.36 -0.37]'; model = stk_model (@stk_materncov_iso); model.param = log ([1.0 4.0 2.5]); model.lognoisevariance = log (0.01); TOL_REL = 0.01; ***** test % Another simple 1D check [C, dC1, dC2] = stk_param_relik (model, xi, zi); assert (stk_isequal_tolrel (C, 6.327, TOL_REL)); assert (stk_isequal_tolrel (dC1, [0.268 0.0149 -0.636]', TOL_REL)); assert (stk_isequal_tolrel (dC2, -1.581e-04, TOL_REL)); ***** test % Same 1D test with simple kriging model.lm = stk_lm_null; [C, dC1, dC2] = stk_param_relik (model, xi, zi); assert (stk_isequal_tolrel (C, 7.475, TOL_REL)); assert (stk_isequal_tolrel (dC1, [0.765 0.0238 -1.019]', TOL_REL)); assert (stk_isequal_tolrel (dC2, 3.0517e-03, TOL_REL)); ***** test % Check the gradient on a 2D test case f = @stk_testfun_braninhoo; DIM = 2; BOX = [[-5; 10], [0; 15]]; NI = 20; TOL_REL = 1e-2; DELTA = 1e-6; model = stk_model (@stk_materncov52_iso, DIM); model.param = [1 1]; xi = stk_sampling_halton_rr2 (NI, DIM, BOX); zi = stk_feval (f, xi); for range = [0.3 2 10] model.param(2) = - log (range); for diff = 1:2 assert (stk_test_critgrad ... (@stk_param_relik, model, xi, zi, diff, 1e-6)); end end 8 tests, 8 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_gls.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_gls.m ***** shared xi, zi, model, beta, sigma2 xi = (1:10)'; zi = sin (xi); model = stk_model (@stk_materncov52_iso); model.param = [0.0 0.0]; ***** test model.lm = stk_lm_constant (); [beta, sigma2] = stk_param_gls (model, xi, zi); ***** assert (stk_isequal_tolabs (beta, 0.1346064, 1e-6)) ***** assert (stk_isequal_tolabs (sigma2, 0.4295288, 1e-6)) ***** test model.lm = stk_lm_affine (); [beta, sigma2] = stk_param_gls (model, xi, zi); ***** assert (stk_isequal_tolabs (beta, [0.4728342; -0.0614960], 1e-6)) ***** assert (stk_isequal_tolabs (sigma2, 0.4559431, 1e-6)) ***** test model.lm = stk_lm_null (); [beta, sigma2] = stk_param_gls (model, xi, zi); ***** assert (isequal (beta, zeros (0, 1))) ***** assert (stk_isequal_tolabs (sigma2, 0.3977993, 1e-6)) 9 tests, 9 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_estim.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_estim.m ***** shared f, xi, zi, NI, param0, param1, model f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x)) ); DIM = 1; NI = 20; box = [-1.0; 1.0]; xi = stk_sampling_regulargrid (NI, DIM, box); SIGMA2 = 1.0; % variance parameter NU = 4.0; % regularity parameter RHO1 = 0.4; % scale (range) parameter param0 = log ([SIGMA2; NU; 1/RHO1]); model = stk_model (@stk_materncov_iso); ***** test % noiseless zi = stk_feval (f, xi); param1 = stk_param_estim (model, xi, zi, param0); assert (isequal (size (param1), size (param0))) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 4 column 9 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 1726 column 31 ***** test % same thing, with empty lnv0 (ok) param2 = stk_param_estim (model, xi, zi, param0, []); assert (stk_isequal_tolrel (param2, param1, 1e-2)) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 3 column 9 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 1726 column 31 ***** error % same thing, with lnv0 == NaN (not ok as a starting point) param2 = stk_param_estim (model, xi, zi, param0, nan); ***** error % same thing, with lnv0 == -inf (not ok as a starting point) param2 = stk_param_estim (model, xi, zi, param0, -inf); ***** test % same thing, with explicit value for 'criterion' param2 = stk_param_estim (model, xi, zi, param0, [], @stk_param_relik); assert (stk_isequal_tolrel (param1, param2, 1e-2)) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 3 column 9 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 1726 column 31 ***** test % noiseless zi = stk_feval (f, xi); param1 = stk_param_estim (model, xi, zi, param0); param2 = stk_param_estim (model, xi, zi, param0, [], @stk_param_relik); % We cannot assume a DETERMINISTIC optimization algorithm % (for some reason, Octave's sqp is not exactly deterministic) assert (stk_isequal_tolrel (param1, param2, 1e-2)) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 4 column 9 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 1726 column 31 warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 5 column 9 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 1726 column 31 ***** test % noisy NOISE_STD_TRUE = 0.1; NOISE_STD_INIT = 1e-5; zi = zi + NOISE_STD_TRUE * randn(NI, 1); model.lognoisevariance = 2 * log(NOISE_STD_INIT); [param, lnv] = stk_param_estim ... (model, xi, zi, param0, model.lognoisevariance); ***** error param = stk_param_estim () ***** error param = stk_param_estim (model); ***** error param = stk_param_estim (model, xi); ***** test % Constant response model = stk_model (@stk_materncov52_iso); n = 10; x = stk_sampling_regulargrid (n, 1, [0; 1]); z = ones (size (x)); param = stk_param_estim (model, x, z); assert ((all (isfinite (param))) && (length (param) == 2)); warning: Constant-response data: the output of stk_param_estim is likely to be unreliable. warning: called from stk_param_estim at line 95 column 5 __test__ at line 5 column 8 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 1726 column 31 warning: Parameter estimation is impossible with constant-response data. warning: called from stk_param_init>paraminit_ at line 351 column 5 stk_param_init>stk_param_init_ at line 323 column 14 stk_param_init at line 87 column 18 stk_param_estim>provide_starting_point at line 205 column 20 stk_param_estim at line 110 column 30 __test__ at line 5 column 8 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 1726 column 31 11 tests, 11 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_init.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_init.m ***** test xi = (1:10)'; zi = sin (xi); model = stk_model (@stk_materncov52_iso); model.param = stk_param_init (model, xi, zi, [1; 10], false); xt = (1:9)' + 0.5; zt = sin (xt); zp = stk_predict (model, xi, zi, xt); assert (sum ((zt - zp.mean) .^ 2) < 1e-3); ***** test % check equivariance of parameter estimates f = @(x) sin (x); xi = stk_sampling_regulargrid (10, 1); zi = stk_feval (f, xi); shift = 1000; scale = 0.01; model = stk_model (@stk_materncov32_iso); p1 = stk_param_init (model, xi, zi); p2 = stk_param_init (model, xi, shift + scale .* zi); assert (stk_isequal_tolabs (p2(1), p1(1) + log (scale^2), 1e-10)) assert (stk_isequal_tolabs (p2(2), p1(2), eps)) ***** shared xi, zi, BOX, xt, zt f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); DIM = 1; % Dimension of the factor space BOX = [-1.0; 1.0]; % Factor space xi = stk_sampling_regulargrid (20, DIM, BOX); % Evaluation points zi = stk_feval (f, xi); % Evaluation results NT = 400; % Number of points in the grid xt = stk_sampling_regulargrid (NT, DIM, BOX); % Generate a regular grid zt = stk_feval (f, xt); % Values of f on the grid ***** xtest % This test is known to fail in Debian buster i386 % because of a known problem in Octave's sqp/qp functions % http://savannah.gnu.org/bugs/?38875 model = stk_model (@stk_materncov_iso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 7 column 14 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 1734 column 31 ***** test model = stk_model (@stk_materncov_aniso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) warning: sqp: QP subproblem is non-convex and unbounded warning: called from sqp at line 441 column 9 stk_minimize_boxconstrained at line 57 column 18 stk_param_estim_optim at line 70 column 23 stk_param_estim at line 139 column 15 __test__ at line 5 column 14 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 1734 column 31 ***** test model = stk_model (@stk_materncov32_iso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) ***** test model = stk_model (@stk_materncov32_aniso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) ***** test model = stk_model (@stk_materncov52_iso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) ***** test model = stk_model (@stk_materncov52_aniso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) ***** test model = stk_model (@stk_gausscov_iso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) warning: matrix singular to machine precision, rcond = 1.21281e-17 warning: called from linsolve at line 113 column 7 linsolve at line 42 column 3 stk_set_righthandside at line 44 column 16 stk_make_kreq at line 35 column 6 stk_predict_ at line 112 column 10 stk_predict at line 104 column 16 __test__ at line 6 column 5 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 1734 column 31 ***** test model = stk_model (@stk_gausscov_aniso); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) warning: matrix singular to machine precision, rcond = 3.93346e-18 warning: called from linsolve at line 113 column 7 linsolve at line 42 column 3 stk_set_righthandside at line 44 column 16 stk_make_kreq at line 35 column 6 stk_predict_ at line 112 column 10 stk_predict at line 104 column 16 __test__ at line 6 column 5 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 1734 column 31 ***** test % Homoscedastic case / do_estim_lnv = true model = stk_model (@stk_materncov32_iso); [model.param, model.lognoisevariance] = ... stk_param_init (model, xi, zi, BOX, true); [model.param, model.lognoisevariance] = ... stk_param_estim (model, xi, zi); zp = stk_predict (model, xi, zi, xt); assert (model.lognoisevariance > -inf); assert (max ((zp.mean - zt) .^ 2) < 1e-3) warning: This way of setting do_estim_lnv is deprecated warning: called from stk_param_init>stk_param_init_ at line 250 column 5 stk_param_init at line 87 column 18 __test__ at line 4 column 40 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 1734 column 31 ***** error % Homoscedastic case / do_estim_lnv = false / model.lnv = nan model = stk_model (@stk_materncov32_iso); model.lognoisevariance = nan; % not compatible with do_estim_lnv == false [model.param, model.lognoisevariance] = ... stk_param_init (model, xi, zi, BOX, false); ***** test % Heteroscedastic case / known noise variance model = stk_model (@stk_materncov32_iso); lnv = log ((100 + rand (size (zi))) / 1e6); model.lognoisevariance = lnv; % here we say that lnv is known [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (isequal (model.lognoisevariance, lnv)); % should be untouched assert (max ((zp.mean - zt) .^ 2) < 1e-3) ***** shared model, x, z model = stk_model (@stk_materncov52_iso); n = 10; x = stk_sampling_regulargrid (n, 1, [0; 1]); z = ones (size (x)); ***** test % Constant response, noiseless model [param, lnv] = stk_param_init (model, x, z); assert ((all (isfinite (param))) && (length (param) == 2)); assert (isequal (lnv, -inf)); warning: Parameter estimation is impossible with constant-response data. warning: called from stk_param_init>paraminit_ at line 351 column 5 stk_param_init>stk_param_init_ at line 323 column 14 stk_param_init at line 87 column 18 __test__ at line 3 column 15 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 1734 column 31 ***** test % Constant response, noisy model model.lognoisevariance = nan; [param, lnv] = stk_param_init (model, x, z); assert ((all (isfinite (param))) && (length (param) == 2)); assert (isscalar (lnv) && isfinite (lnv)); warning: Parameter estimation is impossible with constant-response data. warning: called from stk_param_init>paraminit_ at line 351 column 5 stk_param_init>stk_param_init_ at line 323 column 14 stk_param_init at line 87 column 18 __test__ at line 4 column 15 test at line 682 column 11 /tmp/tmp.dk3rcEETWE at line 1734 column 31 15 tests, 15 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov_aniso.m ***** shared param, x, y dim = 1; param = log ([1.0; 1.5; 2.8]); x = stk_sampling_randunif(5, dim); y = stk_sampling_randunif(5, dim); ***** error stk_materncov_aniso(); ***** error stk_materncov_aniso(param); ***** error stk_materncov_aniso(param, x); ***** test stk_materncov_aniso(param, x, y); ***** test stk_materncov_aniso(param, x, y, -1); ***** test stk_materncov_aniso(param, x, y, -1, false); ***** error stk_materncov_aniso(param, x, y, -2); ***** test stk_materncov_aniso(param, x, y, -1); ***** error stk_materncov_aniso(param, x, y, 0); ***** test stk_materncov_aniso(param, x, y, 1); ***** test stk_materncov_aniso(param, x, y, 2); ***** test stk_materncov_aniso(param, x, y, 3); ***** error stk_materncov_aniso(param, x, y, 4); ***** error stk_materncov_aniso(param, x, y, nan); ***** error stk_materncov_aniso(param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 1.5; 2.8; 2.7; 2.9]); nx = 4; ny = 10; x = stk_sampling_randunif(nx, dim); y = stk_sampling_randunif(ny, dim); ***** test K1 = stk_materncov_aniso(param, x, y); K2 = stk_materncov_aniso(param, x, y, -1); assert(isequal(size(K1), [nx ny])); assert(stk_isequal_tolabs(K1, K2)); ***** test for i = 1:(dim+2), dK = stk_materncov_aniso(param, x, y, i); assert(isequal(size(dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif(n, dim); y = stk_sampling_randunif(n, dim); K1 = stk_materncov_aniso(param, x, y); K2 = stk_materncov_aniso(param, x, y, -1, true); assert(isequal(size(K1), [n n])); assert(stk_isequal_tolabs(K2, diag(K1))); for i = 1:(dim+2), dK1 = stk_materncov_aniso(param, x, y, i); dK2 = stk_materncov_aniso(param, x, y, i, true); assert(isequal(size(dK1), [n n])); assert(stk_isequal_tolabs(dK2, diag(dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/covfcs/stk_noisecov.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_noisecov.m ***** shared ni, lognoisevariance, diff ni = 5; lognoisevariance = 0.0; diff = -1; ***** error K = stk_noisecov (); ***** error K = stk_noisecov (ni); ***** test K = stk_noisecov (ni, lognoisevariance); ***** test K = stk_noisecov (ni, lognoisevariance, diff); ***** test K = stk_noisecov (ni, lognoisevariance, diff, true); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/covfcs/stk_gausscov_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_gausscov_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_gausscov_aniso (); ***** error K0 = stk_gausscov_aniso (param); ***** error K0 = stk_gausscov_aniso (param, x); ***** test K1 = stk_gausscov_aniso (param, x, y); ***** test K2 = stk_gausscov_aniso (param, x, y, -1); ***** test K3 = stk_gausscov_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_gausscov_aniso (param, u, v, -1); K2 = stk_gausscov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); ***** error stk_gausscov_aniso (param, x, y, -2); ***** test stk_gausscov_aniso (param, x, y, -1); ***** error stk_gausscov_aniso (param, x, y, 0); ***** test stk_gausscov_aniso (param, x, y, 1); ***** test stk_gausscov_aniso (param, x, y, 2); ***** error stk_gausscov_aniso (param, x, y, 3); ***** error stk_gausscov_aniso (param, x, y, nan); ***** error stk_gausscov_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_gausscov_aniso (param, x, y); K2 = stk_gausscov_aniso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_gausscov_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_gausscov_aniso (param, x, y); K2 = stk_gausscov_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_gausscov_aniso (param, x, y, i); dK2 = stk_gausscov_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_gausscov_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_gausscov_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error K = stk_gausscov_iso ([param; 1.234], x, y); ***** error stk_gausscov_iso (); ***** error stk_gausscov_iso (param); ***** error stk_gausscov_iso (param, x); ***** test stk_gausscov_iso (param, x, y); ***** test stk_gausscov_iso (param, x, y, -1); ***** test stk_gausscov_iso (param, x, y, -1, false); ***** error stk_gausscov_iso (param, x, y, -2); ***** test stk_gausscov_iso (param, x, y, -1); ***** error stk_gausscov_iso (param, x, y, 0); ***** test stk_gausscov_iso (param, x, y, 1); ***** test stk_gausscov_iso (param, x, y, 2); ***** error stk_gausscov_iso (param, x, y, 3); ***** error stk_gausscov_iso (param, x, y, nan); ***** error stk_gausscov_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_gausscov_iso (param, x, y); K2 = stk_gausscov_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_gausscov_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_gausscov_iso (param, x, y); K2 = stk_gausscov_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_gausscov_iso (param, x, y, i); dK2 = stk_gausscov_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_matern32.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_matern32.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_matern32 (); ***** test stk_rbf_matern32 (h); ***** test stk_rbf_matern32 (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_matern32 (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% consistency with stk_rbf_matern: function values for h = 0.1:0.1:2.0, x = stk_rbf_matern (3/2, h); y = stk_rbf_matern32 (h); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** test %% consistency with stk_rbf_matern: derivatives for h = 0.1:0.1:2.0, x = stk_rbf_matern (3/2, h, 2); y = stk_rbf_matern32 (h, 1); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** assert (stk_rbf_matern32 (inf) == 0) 7 tests, 7 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_spherical.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_spherical.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_spherical (); ***** test stk_rbf_spherical (h); ***** test stk_rbf_spherical (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_spherical (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% check derivative numerically h = [-1 -0.5 -0.1 0.1 0.5 1]; delta = 1e-9; d1 = (stk_rbf_spherical (h + delta) - stk_rbf_spherical (h)) / delta; d2 = stk_rbf_spherical (h, 1); assert (stk_isequal_tolabs (d1, d2, 1e-4)); ***** assert (stk_rbf_spherical (inf) == 0) 6 tests, 6 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_exponential.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_exponential.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_exponential (); ***** test stk_rbf_exponential (h); ***** test stk_rbf_exponential (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_exponential (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% check derivative numerically h = [-1 -0.5 -0.1 0.1 0.5 1]; delta = 1e-9; d1 = (stk_rbf_exponential (h + delta) - stk_rbf_exponential (h)) / delta; d2 = stk_rbf_exponential (h, 1); assert (stk_isequal_tolabs (d1, d2, 1e-4)); ***** test %% consistency with stk_rbf_matern: function values for h = 0.1:0.1:2.0, x = stk_rbf_matern (1/2, h); y = stk_rbf_exponential (h); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** test %% consistency with stk_rbf_matern: derivatives for h = 0.1:0.1:2.0, x = stk_rbf_matern (1/2, h, 2); y = stk_rbf_exponential (h, 1); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** assert (stk_rbf_exponential (inf) == 0) 8 tests, 8 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_gauss.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_gauss.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_gauss (); ***** test stk_rbf_gauss (h); ***** test stk_rbf_gauss (h, diff); ***** test % h = 0.0 => correlation = 1.0 x = stk_rbf_gauss (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_matern52.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_matern52.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_matern52 (); ***** test stk_rbf_matern52 (h); ***** test stk_rbf_matern52 (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_matern52 (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% consistency with stk_rbf_matern: function values for h = 0.1:0.1:2.0, x = stk_rbf_matern (5/2, h); y = stk_rbf_matern52 (h); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** test %% consistency with stk_rbf_matern: derivatives for h = 0.1:0.1:2.0, x = stk_rbf_matern (5/2, h, 2); y = stk_rbf_matern52 (h, 1); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** assert (stk_rbf_matern52 (inf) == 0) 7 tests, 7 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_matern.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_matern.m ***** shared nu, h, diff nu = 1.0; h = 1.0; diff = -1; ***** error stk_rbf_matern (); ***** error stk_rbf_matern (nu); ***** test stk_rbf_matern (nu, h); ***** test stk_rbf_matern (nu, h, diff); ***** test %% h = 0.0 => correlation = 1.0 for nu = 0.1:0.2:5.0, x = stk_rbf_matern (nu, 0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); end 5 tests, 5 passed, 0 known failure, 0 skipped [inst/covfcs/stk_sphcov_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_sphcov_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_sphcov_aniso (); ***** error K0 = stk_sphcov_aniso (param); ***** error K0 = stk_sphcov_aniso (param, x); ***** test K1 = stk_sphcov_aniso (param, x, y); ***** test K2 = stk_sphcov_aniso (param, x, y, -1); ***** test K3 = stk_sphcov_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_sphcov_aniso (param, u, v, -1); K2 = stk_sphcov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); assert (isequal (K1, K2)); ***** error stk_sphcov_aniso (param, x, y, -2); ***** test stk_sphcov_aniso (param, x, y, -1); ***** error stk_sphcov_aniso (param, x, y, 0); ***** test stk_sphcov_aniso (param, x, y, 1); ***** test stk_sphcov_aniso (param, x, y, 2); ***** error stk_sphcov_aniso (param, x, y, 3); ***** error stk_sphcov_aniso (param, x, y, nan); ***** error stk_sphcov_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_sphcov_aniso (param, x, y); K2 = stk_sphcov_aniso (param, x, y, -1); assert (isequal (size(K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_sphcov_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_sphcov_aniso (param, x, y); K2 = stk_sphcov_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_sphcov_aniso (param, x, y, i); dK2 = stk_sphcov_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_discretecov.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_discretecov.m ***** shared model, model2, x0 n0 = 20; n1 = 10; dim = 4; x0 = stk_sampling_randunif (n0, dim); x1 = stk_sampling_randunif (n1, dim); model = stk_model (@stk_materncov52_aniso, dim); model.lm = stk_lm_affine (); model.param = log ([1.0; 2.1; 2.2; 2.3; 2.4]); ***** test % without noise, pairwise = false model.lognoisevariance = - inf; model2 = stk_model (@stk_discretecov, model, x0); idx = [1 4 9]; [K1, P1] = stk_make_matcov (model, x0(idx, :)); [K2, P2] = stk_make_matcov (model2, idx'); assert (stk_isequal_tolrel (K1, K2)); assert (stk_isequal_tolrel (P1, P2)); ***** test % without noise, pairwise = true K1 = stk_make_matcov (model, x0([2 5 6], :), [], true); K2 = stk_make_matcov (model2, [2 5 6]', [], true); assert (stk_isequal_tolrel (K1, K2)); ***** test % with noise, pairwise = false model.lognoisevariance = log (0.01); model2 = stk_model (@stk_discretecov, model, x0); idx = [1 4 9]; [K1, P1] = stk_make_matcov (model, x0(idx, :)); [K2, P2] = stk_make_matcov (model2, idx'); assert (stk_isequal_tolrel (K1, K2)); assert (stk_isequal_tolrel (P1, P2)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov32_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov32_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_materncov32_aniso (); ***** error K0 = stk_materncov32_aniso (param); ***** error K0 = stk_materncov32_aniso (param, x); ***** test K1 = stk_materncov32_aniso (param, x, y); ***** test K2 = stk_materncov32_aniso (param, x, y, -1); ***** test K3 = stk_materncov32_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_materncov32_aniso (param, u, v, -1); K2 = stk_materncov32_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); assert (isequal (K1, K2)); ***** error stk_materncov32_aniso (param, x, y, -2); ***** test stk_materncov32_aniso (param, x, y, -1); ***** error stk_materncov32_aniso (param, x, y, 0); ***** test stk_materncov32_aniso (param, x, y, 1); ***** test stk_materncov32_aniso (param, x, y, 2); ***** error stk_materncov32_aniso (param, x, y, 3); ***** error stk_materncov32_aniso (param, x, y, nan); ***** error stk_materncov32_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov32_aniso (param, x, y); K2 = stk_materncov32_aniso (param, x, y, -1); assert (isequal (size(K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_materncov32_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_materncov32_aniso (param, x, y); K2 = stk_materncov32_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_materncov32_aniso (param, x, y, i); dK2 = stk_materncov32_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_expcov_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_expcov_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_expcov_aniso (); ***** error K0 = stk_expcov_aniso (param); ***** error K0 = stk_expcov_aniso (param, x); ***** test K1 = stk_expcov_aniso (param, x, y); ***** test K2 = stk_expcov_aniso (param, x, y, -1); ***** test K3 = stk_expcov_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_expcov_aniso (param, u, v, -1); K2 = stk_expcov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); ***** error stk_expcov_aniso (param, x, y, -2); ***** test stk_expcov_aniso (param, x, y, -1); ***** error stk_expcov_aniso (param, x, y, 0); ***** test stk_expcov_aniso (param, x, y, 1); ***** test stk_expcov_aniso (param, x, y, 2); ***** error stk_expcov_aniso (param, x, y, 3); ***** error stk_expcov_aniso (param, x, y, nan); ***** error stk_expcov_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_expcov_aniso (param, x, y); K2 = stk_expcov_aniso (param, x, y, -1); assert (isequal (size(K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_expcov_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_expcov_aniso (param, x, y); K2 = stk_expcov_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_expcov_aniso (param, x, y, i); dK2 = stk_expcov_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_expcov_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_expcov_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error K = stk_expcov_iso ([param; 1.234], x, y); ***** error stk_expcov_iso (); ***** error stk_expcov_iso (param); ***** error stk_expcov_iso (param, x); ***** test stk_expcov_iso (param, x, y); ***** test stk_expcov_iso (param, x, y, -1); ***** test stk_expcov_iso (param, x, y, -1, false); ***** error stk_expcov_iso (param, x, y, -2); ***** test stk_expcov_iso (param, x, y, -1); ***** error stk_expcov_iso (param, x, y, 0); ***** test stk_expcov_iso (param, x, y, 1); ***** test stk_expcov_iso (param, x, y, 2); ***** error stk_expcov_iso (param, x, y, 3); ***** error stk_expcov_iso (param, x, y, nan); ***** error stk_expcov_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_expcov_iso (param, x, y); K2 = stk_expcov_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_expcov_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_expcov_iso (param, x, y); K2 = stk_expcov_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_expcov_iso (param, x, y, i); dK2 = stk_expcov_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov52_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov52_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error K = stk_materncov52_iso ([param; 1.234], x, y); ***** error stk_materncov52_iso (); ***** error stk_materncov52_iso (param); ***** error stk_materncov52_iso (param, x); ***** test stk_materncov52_iso (param, x, y); ***** test stk_materncov52_iso (param, x, y, -1); ***** test stk_materncov52_iso (param, x, y, -1, false); ***** error stk_materncov52_iso (param, x, y, -2); ***** test stk_materncov52_iso (param, x, y, -1); ***** error stk_materncov52_iso (param, x, y, 0); ***** test stk_materncov52_iso (param, x, y, 1); ***** test stk_materncov52_iso (param, x, y, 2); ***** error stk_materncov52_iso (param, x, y, 3); ***** error stk_materncov52_iso (param, x, y, nan); ***** error stk_materncov52_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov52_iso (param, x, y); K2 = stk_materncov52_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_materncov52_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_materncov52_iso (param, x, y); K2 = stk_materncov52_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_materncov52_iso (param, x, y, i); dK2 = stk_materncov52_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov32_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov32_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error K = stk_materncov32_iso ([param; 1.234], x, y); ***** error stk_materncov32_iso (); ***** error stk_materncov32_iso (param); ***** error stk_materncov32_iso (param, x); ***** test stk_materncov32_iso (param, x, y); ***** test stk_materncov32_iso (param, x, y, -1); ***** test stk_materncov32_iso (param, x, y, -1, false); ***** error stk_materncov32_iso (param, x, y, -2); ***** test stk_materncov32_iso (param, x, y, -1); ***** error stk_materncov32_iso (param, x, y, 0); ***** test stk_materncov32_iso (param, x, y, 1); ***** test stk_materncov32_iso (param, x, y, 2); ***** error stk_materncov32_iso (param, x, y, 3); ***** error stk_materncov32_iso (param, x, y, nan); ***** error stk_materncov32_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov32_iso (param, x, y); K2 = stk_materncov32_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_materncov32_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_materncov32_iso (param, x, y); K2 = stk_materncov32_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_materncov32_iso (param, x, y, i); dK2 = stk_materncov32_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov52_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov52_aniso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error stk_materncov52_aniso (); ***** error stk_materncov52_aniso (param); ***** error stk_materncov52_aniso (param, x); ***** test stk_materncov52_aniso (param, x, y); ***** test stk_materncov52_aniso (param, x, y, -1); ***** test stk_materncov52_aniso (param, x, y, -1, false); ***** error stk_materncov52_aniso (param, x, y, -2); ***** test stk_materncov52_aniso (param, x, y, -1); ***** error stk_materncov52_aniso (param, x, y, 0); ***** test stk_materncov52_aniso (param, x, y, 1); ***** test stk_materncov52_aniso (param, x, y, 2); ***** error stk_materncov52_aniso (param, x, y, 3); ***** error stk_materncov52_aniso (param, x, y, nan); ***** error stk_materncov52_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov52_aniso (param, x, y); K2 = stk_materncov52_aniso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_materncov52_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_materncov52_aniso (param, x, y); K2 = stk_materncov52_aniso(param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_materncov52_aniso (param, x, y, i); dK2 = stk_materncov52_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 17 tests, 17 passed, 0 known failure, 0 skipped [inst/covfcs/stk_sphcov_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_sphcov_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error K = stk_sphcov_iso ([param; 1.234], x, y); ***** error stk_sphcov_iso (); ***** error stk_sphcov_iso (param); ***** error stk_sphcov_iso (param, x); ***** test stk_sphcov_iso (param, x, y); ***** test stk_sphcov_iso (param, x, y, -1); ***** test stk_sphcov_iso (param, x, y, -1, false); ***** error stk_sphcov_iso (param, x, y, -2); ***** test stk_sphcov_iso (param, x, y, -1); ***** error stk_sphcov_iso (param, x, y, 0); ***** test stk_sphcov_iso (param, x, y, 1); ***** test stk_sphcov_iso (param, x, y, 2); ***** error stk_sphcov_iso (param, x, y, 3); ***** error stk_sphcov_iso (param, x, y, nan); ***** error stk_sphcov_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_sphcov_iso (param, x, y); K2 = stk_sphcov_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_sphcov_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_sphcov_iso (param, x, y); K2 = stk_sphcov_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_sphcov_iso (param, x, y, i); dK2 = stk_sphcov_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 1.5; 2.9]); x = stk_sampling_randunif(5, dim); y = stk_sampling_randunif(5, dim); ***** error K = stk_materncov_iso ([param; 1.234], x, y); ***** error stk_materncov_iso(); ***** error stk_materncov_iso(param); ***** error stk_materncov_iso(param, x); ***** test stk_materncov_iso(param, x, y); ***** test stk_materncov_iso(param, x, y, -1); ***** test stk_materncov_iso(param, x, y, -1, false); ***** error stk_materncov_iso(param, x, y, -2); ***** test stk_materncov_iso(param, x, y, -1); ***** error stk_materncov_iso(param, x, y, 0); ***** test stk_materncov_iso(param, x, y, 1); ***** test stk_materncov_iso(param, x, y, 2); ***** test stk_materncov_iso(param, x, y, 3); ***** error stk_materncov_iso(param, x, y, 4); ***** error stk_materncov_iso(param, x, y, nan); ***** error stk_materncov_iso(param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 1.5; 2.9]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov_iso (param, x, y); K2 = stk_materncov_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:3, dK = stk_materncov_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif(n, dim); y = stk_sampling_randunif(n, dim); K1 = stk_materncov_iso(param, x, y); K2 = stk_materncov_iso(param, x, y, -1, true); assert(isequal(size(K1), [n n])); assert(stk_isequal_tolabs(K2, diag(K1))); for i = 1:3, dK1 = stk_materncov_iso(param, x, y, i); dK2 = stk_materncov_iso(param, x, y, i, true); assert(isequal(size(dK1), [n n])); assert(stk_isequal_tolabs(dK2, diag(dK1))); end 19 tests, 19 passed, 0 known failure, 0 skipped Checking C++ files ... Done running the unit tests. Summary: 1558 tests, 1558 passed, 0 known failures, 0 skipped dh_installdocs -O--buildsystem=octave dh_installchangelogs -O--buildsystem=octave dh_octave_changelogs -O--buildsystem=octave dh_octave_examples -O--buildsystem=octave dh_installsystemduser -O--buildsystem=octave dh_lintian -O--buildsystem=octave dh_perl -O--buildsystem=octave dh_link -O--buildsystem=octave dh_strip_nondeterminism -O--buildsystem=octave dh_compress -O--buildsystem=octave dh_fixperms -O--buildsystem=octave dh_missing -O--buildsystem=octave dh_dwz -a -O--buildsystem=octave dh_strip -a -O--buildsystem=octave dh_makeshlibs -a -O--buildsystem=octave dh_shlibdeps -a -O--buildsystem=octave dh_octave_substvar -O--buildsystem=octave dh_installdeb -O--buildsystem=octave dh_gencontrol -O--buildsystem=octave dpkg-gencontrol: warning: package octave-stk: substitution variable ${octave:Upstream-Description} unused, but is defined dh_md5sums -O--buildsystem=octave dh_builddeb -O--buildsystem=octave dpkg-deb: building package 'octave-stk' in '../octave-stk_2.8.1-3_amd64.deb'. dpkg-deb: building package 'octave-stk-dbgsym' in '../octave-stk-dbgsym_2.8.1-3_amd64.deb'. dpkg-genbuildinfo --build=binary -O../octave-stk_2.8.1-3_amd64.buildinfo dpkg-genchanges --build=binary -O../octave-stk_2.8.1-3_amd64.changes dpkg-genchanges: info: binary-only upload (no source code included) dpkg-source --after-build . dpkg-buildpackage: info: binary-only upload (no source included) dpkg-genchanges: info: not including original source code in upload I: copying local configuration I: user script /srv/workspace/pbuilder/3994332/tmp/hooks/B01_cleanup starting I: user script /srv/workspace/pbuilder/3994332/tmp/hooks/B01_cleanup finished I: unmounting dev/ptmx filesystem I: unmounting dev/pts filesystem I: unmounting dev/shm filesystem I: unmounting proc filesystem I: unmounting sys filesystem I: cleaning the build env I: removing directory /srv/workspace/pbuilder/3994332 and its subdirectories I: Current time: Mon Dec 29 21:36:11 +14 2025 I: pbuilder-time-stamp: 1766993771 + false + set +x Mon Dec 29 07:36:11 UTC 2025 I: Signing ./b2/octave-stk_2.8.1-3_amd64.buildinfo as octave-stk_2.8.1-3_amd64.buildinfo.asc Mon Dec 29 07:36:11 UTC 2025 I: Signed ./b2/octave-stk_2.8.1-3_amd64.buildinfo as ./b2/octave-stk_2.8.1-3_amd64.buildinfo.asc Mon Dec 29 07:36:11 UTC 2025 - build #2 for octave-stk/trixie/amd64 on infom02-amd64 done. Starting cleanup. All cleanup done. Mon Dec 29 07:36:11 UTC 2025 - reproducible_build.sh stopped running as /tmp/jenkins-script-OWW1OCp0, removing. /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7: total 600 drwxr-xr-x 2 jenkins jenkins 4096 Nov 26 01:09 b1 drwxr-xr-x 2 jenkins jenkins 4096 Nov 26 01:13 b2 -rw-r--r-- 1 jenkins jenkins 2149 Jun 19 17:42 octave-stk_2.8.1-3.dsc -rw------- 1 jenkins jenkins 595312 Nov 26 01:09 rbuildlog.2dXzrrx /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/b1: total 1052 -rw-r--r-- 1 jenkins jenkins 591755 Nov 26 01:09 build.log -rw-r--r-- 1 jenkins jenkins 75800 Nov 26 01:09 octave-stk-dbgsym_2.8.1-3_amd64.deb -rw-r--r-- 1 jenkins jenkins 4988 Nov 26 01:09 octave-stk_2.8.1-3.debian.tar.xz -rw-r--r-- 1 jenkins jenkins 2149 Nov 26 01:09 octave-stk_2.8.1-3.dsc -rw-r--r-- 1 jenkins jenkins 21607 Nov 26 01:09 octave-stk_2.8.1-3_amd64.buildinfo -rw-r--r-- 1 jenkins jenkins 22489 Nov 26 01:09 octave-stk_2.8.1-3_amd64.buildinfo.asc -rw-r--r-- 1 jenkins jenkins 1450 Nov 26 01:09 octave-stk_2.8.1-3_amd64.changes -rw-r--r-- 1 jenkins jenkins 322508 Nov 26 01:09 octave-stk_2.8.1-3_amd64.deb -rw-r--r-- 1 jenkins jenkins 1315 Nov 26 01:09 octave-stk_2.8.1-3_source.changes /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/b2: total 1052 -rw-r--r-- 1 jenkins jenkins 593694 Nov 26 01:13 build.log -rw-r--r-- 1 jenkins jenkins 75800 Nov 26 01:13 octave-stk-dbgsym_2.8.1-3_amd64.deb -rw-r--r-- 1 jenkins jenkins 4988 Nov 26 01:13 octave-stk_2.8.1-3.debian.tar.xz -rw-r--r-- 1 jenkins jenkins 2149 Nov 26 01:13 octave-stk_2.8.1-3.dsc -rw-r--r-- 1 jenkins jenkins 21610 Nov 26 01:13 octave-stk_2.8.1-3_amd64.buildinfo -rw-r--r-- 1 jenkins jenkins 22492 Nov 26 01:13 octave-stk_2.8.1-3_amd64.buildinfo.asc -rw-r--r-- 1 jenkins jenkins 1450 Nov 26 01:13 octave-stk_2.8.1-3_amd64.changes -rw-r--r-- 1 jenkins jenkins 322508 Nov 26 01:13 octave-stk_2.8.1-3_amd64.deb -rw-r--r-- 1 jenkins jenkins 1315 Nov 26 01:13 octave-stk_2.8.1-3_source.changes Tue Nov 26 01:13:12 UTC 2024 I: Deleting $TMPDIR on infom02-amd64.debian.net. Tue Nov 26 01:13:12 UTC 2024 I: octave-stk_2.8.1-3_amd64.changes: Format: 1.8 Date: Wed, 19 Jun 2024 07:51:42 -0300 Source: octave-stk Binary: octave-stk octave-stk-dbgsym Architecture: amd64 Version: 2.8.1-3 Distribution: unstable Urgency: medium Maintainer: Debian Octave Group Changed-By: Rafael Laboissière Description: octave-stk - (not so) Small Toolbox for Kriging Changes: octave-stk (2.8.1-3) unstable; urgency=medium . * Team upload . * d/rules: Drop addition of -fexceptions to DEB_CFLAGS_MAINT_APPEND. This is not necessary anymore with version 9.2 of Octave Checksums-Sha1: eca2a4f61525183e46d1170a3bd6942f1a87e917 75800 octave-stk-dbgsym_2.8.1-3_amd64.deb ea0fdeb9701bd0e431696bd1996f2df2d49935e9 21607 octave-stk_2.8.1-3_amd64.buildinfo f0c89607eb717485c60beee9a8256a4ba0b38ffc 322508 octave-stk_2.8.1-3_amd64.deb Checksums-Sha256: 74b4131f791495b93d9063780c8d4f12190e9cca11547f272b36f10abecd4326 75800 octave-stk-dbgsym_2.8.1-3_amd64.deb 994e5676831a5232c1871f9c984079b0ca68f51b1bdc67b10118f1c57f278eaa 21607 octave-stk_2.8.1-3_amd64.buildinfo a3524127361c8e979184fa1898e560861033e7106dee4c4ed5627651d841502a 322508 octave-stk_2.8.1-3_amd64.deb Files: d030aae6dc563c14574db492b738d041 75800 debug optional octave-stk-dbgsym_2.8.1-3_amd64.deb faa81793b1a47548b2bbf9f2766fd6d4 21607 math optional octave-stk_2.8.1-3_amd64.buildinfo 6a3f025cb3a8e383772e58617a05f37a 322508 math optional octave-stk_2.8.1-3_amd64.deb removed '/var/lib/jenkins/userContent/reproducible/debian/rbuild/trixie/amd64/octave-stk_2.8.1-3.rbuild.log' removed '/var/lib/jenkins/userContent/reproducible/debian/rbuild/trixie/amd64/octave-stk_2.8.1-3.rbuild.log.gz' removed '/var/lib/jenkins/userContent/reproducible/debian/logs/trixie/amd64/octave-stk_2.8.1-3.build1.log.gz' removed '/var/lib/jenkins/userContent/reproducible/debian/logs/trixie/amd64/octave-stk_2.8.1-3.build2.log.gz' removed '/var/lib/jenkins/userContent/reproducible/debian/buildinfo/trixie/amd64/octave-stk_2.8.1-3_amd64.buildinfo' removed '/var/lib/jenkins/userContent/reproducible/debian/logdiffs/trixie/amd64/octave-stk_2.8.1-3.diff.gz' Diff of the two buildlogs: -- --- b1/build.log 2024-11-26 01:09:16.633712909 +0000 +++ b2/build.log 2024-11-26 01:13:12.015094057 +0000 @@ -1,6 +1,6 @@ I: pbuilder: network access will be disabled during build -I: Current time: Mon Nov 25 13:04:01 -12 2024 -I: pbuilder-time-stamp: 1732583041 +I: Current time: Mon Dec 29 21:32:19 +14 2025 +I: pbuilder-time-stamp: 1766993539 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/trixie-reproducible-base.tgz] I: copying local configuration @@ -28,51 +28,83 @@ dpkg-source: info: applying 0003-Mark-expected-failure.patch I: Not using root during the build. I: Installing the build-deps -I: user script /srv/workspace/pbuilder/270968/tmp/hooks/D02_print_environment starting +I: user script /srv/workspace/pbuilder/3994332/tmp/hooks/D01_modify_environment starting +debug: Running on infom02-amd64. +I: Changing host+domainname to test build reproducibility +I: Adding a custom variable just for the fun of it... +I: Changing /bin/sh to bash +'/bin/sh' -> '/bin/bash' +lrwxrwxrwx 1 root root 9 Dec 29 07:32 /bin/sh -> /bin/bash +I: Setting pbuilder2's login shell to /bin/bash +I: Setting pbuilder2's GECOS to second user,second room,second work-phone,second home-phone,second other +I: user script /srv/workspace/pbuilder/3994332/tmp/hooks/D01_modify_environment finished +I: user script /srv/workspace/pbuilder/3994332/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='amd64' - DEBIAN_FRONTEND='noninteractive' + BASH=/bin/sh + BASHOPTS=checkwinsize:cmdhist:complete_fullquote:extquote:force_fignore:globasciiranges:globskipdots:hostcomplete:interactive_comments:patsub_replacement:progcomp:promptvars:sourcepath + BASH_ALIASES=() + BASH_ARGC=() + BASH_ARGV=() + BASH_CMDS=() + BASH_LINENO=([0]="12" [1]="0") + BASH_LOADABLES_PATH=/usr/local/lib/bash:/usr/lib/bash:/opt/local/lib/bash:/usr/pkg/lib/bash:/opt/pkg/lib/bash:. + BASH_SOURCE=([0]="/tmp/hooks/D02_print_environment" [1]="/tmp/hooks/D02_print_environment") + BASH_VERSINFO=([0]="5" [1]="2" [2]="32" [3]="1" [4]="release" [5]="x86_64-pc-linux-gnu") + BASH_VERSION='5.2.32(1)-release' + BUILDDIR=/build/reproducible-path + BUILDUSERGECOS='second user,second room,second work-phone,second home-phone,second other' + BUILDUSERNAME=pbuilder2 + BUILD_ARCH=amd64 + DEBIAN_FRONTEND=noninteractive DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all parallel=12 ' - DISTRIBUTION='trixie' - HOME='/root' - HOST_ARCH='amd64' + DIRSTACK=() + DISTRIBUTION=trixie + EUID=0 + FUNCNAME=([0]="Echo" [1]="main") + GROUPS=() + HOME=/root + HOSTNAME=i-capture-the-hostname + HOSTTYPE=x86_64 + HOST_ARCH=amd64 IFS=' ' - INVOCATION_ID='50da294a52b84e02b2677a0423e924a3' - LANG='C' - LANGUAGE='en_US:en' - LC_ALL='C' - 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='270968' - PS1='# ' - PS2='> ' + INVOCATION_ID=e78323f9967744e188801a7b4889287e + LANG=C + LANGUAGE=et_EE:et + LC_ALL=C + MACHTYPE=x86_64-pc-linux-gnu + MAIL=/var/mail/root + OPTERR=1 + OPTIND=1 + OSTYPE=linux-gnu + PATH=/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path + PBCURRENTCOMMANDLINEOPERATION=build + PBUILDER_OPERATION=build + PBUILDER_PKGDATADIR=/usr/share/pbuilder + PBUILDER_PKGLIBDIR=/usr/lib/pbuilder + PBUILDER_SYSCONFDIR=/etc + PIPESTATUS=([0]="0") + POSIXLY_CORRECT=y + PPID=3994332 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.dFJg6OC7/pbuilderrc_z35Q --distribution trixie --hookdir /etc/pbuilder/first-build-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/trixie-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/b1 --logfile b1/build.log octave-stk_2.8.1-3.dsc' - SUDO_GID='109' - SUDO_UID='104' - SUDO_USER='jenkins' - TERM='unknown' - TZ='/usr/share/zoneinfo/Etc/GMT+12' - USER='root' - _='/usr/bin/systemd-run' + PWD=/ + SHELL=/bin/bash + SHELLOPTS=braceexpand:errexit:hashall:interactive-comments:posix + SHLVL=3 + SUDO_COMMAND='/usr/bin/timeout -k 24.1h 24h /usr/bin/ionice -c 3 /usr/bin/nice -n 11 /usr/bin/unshare --uts -- /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/pbuilderrc_MMYk --distribution trixie --hookdir /etc/pbuilder/rebuild-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/trixie-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/b2 --logfile b2/build.log octave-stk_2.8.1-3.dsc' + SUDO_GID=109 + SUDO_UID=104 + SUDO_USER=jenkins + TERM=unknown + TZ=/usr/share/zoneinfo/Etc/GMT-14 + UID=0 + USER=root + _='I: set' I: uname -a - Linux infom01-amd64 6.1.0-28-cloud-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.1.119-1 (2024-11-22) x86_64 GNU/Linux + Linux i-capture-the-hostname 6.11.5+bpo-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.11.5-1~bpo12+1 (2024-11-11) x86_64 GNU/Linux I: ls -l /bin - lrwxrwxrwx 1 root root 7 Aug 4 21:30 /bin -> usr/bin -I: user script /srv/workspace/pbuilder/270968/tmp/hooks/D02_print_environment finished + lrwxrwxrwx 1 root root 7 Aug 4 2024 /bin -> usr/bin +I: user script /srv/workspace/pbuilder/3994332/tmp/hooks/D02_print_environment finished -> Attempting to satisfy build-dependencies -> Creating pbuilder-satisfydepends-dummy package Package: pbuilder-satisfydepends-dummy @@ -633,7 +665,7 @@ Get: 521 http://deb.debian.org/debian trixie/main amd64 gfortran amd64 4:14.2.0-1 [1436 B] Get: 522 http://deb.debian.org/debian trixie/main amd64 octave-dev amd64 9.2.0-3+b1 [1001 kB] Get: 523 http://deb.debian.org/debian trixie/main amd64 dh-octave all 1.8.0 [22.7 kB] -Fetched 201 MB in 6s (32.6 MB/s) +Fetched 201 MB in 4s (47.9 MB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package netbase. (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 ... 19969 files and directories currently installed.) @@ -2779,7 +2811,11 @@ Building tag database... -> Finished parsing the build-deps I: Building the package -I: Running cd /build/reproducible-path/octave-stk-2.8.1/ && 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 > ../octave-stk_2.8.1-3_source.changes +I: user script /srv/workspace/pbuilder/3994332/tmp/hooks/A99_set_merged_usr starting +Not re-configuring usrmerge for trixie +I: user script /srv/workspace/pbuilder/3994332/tmp/hooks/A99_set_merged_usr finished +hostname: Name or service not known +I: Running cd /build/reproducible-path/octave-stk-2.8.1/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/i/capture/the/path" HOME="/nonexistent/second-build" dpkg-genchanges -S > ../octave-stk_2.8.1-3_source.changes dpkg-buildpackage: info: source package octave-stk dpkg-buildpackage: info: source version 2.8.1-3 dpkg-buildpackage: info: source distribution unstable @@ -2819,48 +2855,48 @@ /usr/bin/mkoctfile --verbose --mex --output __get_column_number__.mex get_column_number.c /usr/bin/mkoctfile --verbose --mex --output __stk_dist_matrixy__.mex stk_dist_matrixy.c /usr/bin/mkoctfile --verbose --mex --output __stk_filldist_discr_mex__.mex stk_filldist_discr_mex.c -gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dist_pairwise.c -o /tmp/oct-LIB1nk.o /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_matrixy__.mex stk_gpquadform_matrixy.c /usr/bin/mkoctfile --verbose --mex --output __stk_isdominated_mex__.mex stk_isdominated_mex.c -gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dist_matrixy.c -o /tmp/oct-Q2P3ND.o -gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG get_column_number.c -o /tmp/oct-UuNgDj.o -gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_filldist_discr_mex.c -o /tmp/oct-WDlKg4.o +gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dist_pairwise.c -o /tmp/oct-rmaJ0S.o /usr/bin/mkoctfile --verbose --mex --output __stk_mindist_mex__.mex stk_mindist_mex.c -gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_gpquadform_matrixy.c -o /tmp/oct-wE9PHG.o -gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_isdominated_mex.c -o /tmp/oct-jShodN.o +gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dist_matrixy.c -o /tmp/oct-vj1O0D.o +gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_filldist_discr_mex.c -o /tmp/oct-OuptEE.o +gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG get_column_number.c -o /tmp/oct-0E6PpF.o /usr/bin/mkoctfile --verbose --mex --output __stk_dist_matrixx__.mex stk_dist_matrixx.c -gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_mindist_mex.c -o /tmp/oct-LFsxE5.o -gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dist_matrixx.c -o /tmp/oct-wr9X13.o +gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_gpquadform_matrixy.c -o /tmp/oct-zrdNr3.o /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_matrixx__.mex stk_gpquadform_matrixx.c /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_pairwise__.mex stk_gpquadform_pairwise.c -gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_gpquadform_matrixx.c -o /tmp/oct-fq5uHN.o /usr/bin/mkoctfile --verbose --mex --output __stk_paretofind_mex__.mex stk_paretofind_mex.c -gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_gpquadform_pairwise.c -o /tmp/oct-i9seUA.o +gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_mindist_mex.c -o /tmp/oct-Eo7Mh3.o +gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dist_matrixx.c -o /tmp/oct-QHh0FE.o +gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_isdominated_mex.c -o /tmp/oct-RIueqS.o /usr/bin/mkoctfile --verbose --mex --output __stk_sampling_vdc_rr2__.mex stk_sampling_vdc_rr2.c -gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_paretofind_mex.c -o /tmp/oct-TGZPxw.o -gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_sampling_vdc_rr2.c -o /tmp/oct-aNKnH6.o -g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dist_pairwise__.mex /tmp/oct-LIB1nk.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro -g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __get_column_number__.mex /tmp/oct-UuNgDj.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro -g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dist_matrixx__.mex /tmp/oct-wr9X13.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro -g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_mindist_mex__.mex /tmp/oct-LFsxE5.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro -g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_filldist_discr_mex__.mex /tmp/oct-WDlKg4.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro -g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dist_matrixy__.mex /tmp/oct-Q2P3ND.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro -g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_gpquadform_matrixx__.mex /tmp/oct-fq5uHN.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro -g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_gpquadform_pairwise__.mex /tmp/oct-i9seUA.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro +gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_gpquadform_pairwise.c -o /tmp/oct-pM8wGU.o +gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_gpquadform_matrixx.c -o /tmp/oct-WwyWdA.o +gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_paretofind_mex.c -o /tmp/oct-rfkFHP.o +gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_sampling_vdc_rr2.c -o /tmp/oct-B0LiDr.o +g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dist_matrixy__.mex /tmp/oct-vj1O0D.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro +g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dist_pairwise__.mex /tmp/oct-rmaJ0S.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro +g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_gpquadform_pairwise__.mex /tmp/oct-pM8wGU.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro +g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_filldist_discr_mex__.mex /tmp/oct-OuptEE.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro +g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_gpquadform_matrixy__.mex /tmp/oct-zrdNr3.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro +g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_gpquadform_matrixx__.mex /tmp/oct-WwyWdA.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro +g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __get_column_number__.mex /tmp/oct-0E6PpF.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro /usr/bin/mkoctfile --verbose --mex --output __stk_sampling_sobol_mex__.mex stk_sampling_sobol_mex.c -gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_sampling_sobol_mex.c -o /tmp/oct-UPvjuy.o -g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_gpquadform_matrixy__.mex /tmp/oct-wE9PHG.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro +g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_mindist_mex__.mex /tmp/oct-Eo7Mh3.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro +gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_sampling_sobol_mex.c -o /tmp/oct-0lTnDq.o /usr/bin/mkoctfile --verbose --mex --output __stk_distrib_bivnorm0_cdf__.mex stk_distrib_bivnorm0_cdf.c -gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_distrib_bivnorm0_cdf.c -o /tmp/oct-TP33Ln.o +gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_distrib_bivnorm0_cdf.c -o /tmp/oct-S4MgSv.o /usr/bin/mkoctfile --verbose --mex --output __stk_dominatedhv_mex__.mex stk_dominatedhv_mex.c wfg.c -gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dominatedhv_mex.c -o /tmp/oct-BJM71A.o -g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_isdominated_mex__.mex /tmp/oct-jShodN.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro -g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_sampling_vdc_rr2__.mex /tmp/oct-aNKnH6.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro -g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_paretofind_mex__.mex /tmp/oct-TGZPxw.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro -gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG wfg.c -o /tmp/oct-liKADZ.o -g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_distrib_bivnorm0_cdf__.mex /tmp/oct-TP33Ln.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro -g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_sampling_sobol_mex__.mex /tmp/oct-UPvjuy.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro -g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dominatedhv_mex__.mex /tmp/oct-BJM71A.o /tmp/oct-liKADZ.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro +gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG stk_dominatedhv_mex.c -o /tmp/oct-0ak1Df.o +g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_isdominated_mex__.mex /tmp/oct-RIueqS.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro +g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dist_matrixx__.mex /tmp/oct-QHh0FE.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro +g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_sampling_vdc_rr2__.mex /tmp/oct-B0LiDr.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro +g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_paretofind_mex__.mex /tmp/oct-rfkFHP.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro +gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -fexceptions -g -O2 -Werror=implicit-function-declaration -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -I. -DMEX_DEBUG wfg.c -o /tmp/oct-CeAcW9.o +g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_sampling_sobol_mex__.mex /tmp/oct-0lTnDq.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro +g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_distrib_bivnorm0_cdf__.mex /tmp/oct-S4MgSv.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro +g++ -I/usr/include/octave-9.2.0/octave/.. -I/usr/include/octave-9.2.0/octave -pthread -fopenmp -g -O2 -ffile-prefix-map=/build/reproducible-path/octave-stk-2.8.1=. -fstack-protector-strong -fstack-clash-protection -Wformat -Werror=format-security -fcf-protection -o __stk_dominatedhv_mex__.mex /tmp/oct-0ak1Df.o /tmp/oct-CeAcW9.o -shared -Wl,-Bsymbolic -Wl,-z,relro -flto=auto -ffat-lto-objects -Wl,-z,relro make[1]: Leaving directory '/build/reproducible-path/octave-stk-2.8.1/src' copyfile /build/reproducible-path/octave-stk-2.8.1/./src/__get_column_number__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_dist_matrixx__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_dist_matrixy__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_dist_pairwise__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_distrib_bivnorm0_cdf__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_dominatedhv_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_filldist_discr_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_gpquadform_matrixx__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_gpquadform_matrixy__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_gpquadform_pairwise__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_isdominated_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_mindist_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_paretofind_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_sampling_sobol_mex__.mex /build/reproducible-path/octave-stk-2.8.1/./src/__stk_sampling_vdc_rr2__.mex /build/reproducible-path/octave-stk-2.8.1/./inst/x86_64-pc-linux-gnu-api-v59 For information about changes from previous versions of the stk package, run 'news stk'. @@ -2869,157 +2905,2710 @@ Checking package... Run the unit tests... Checking m files ... -[inst/arrays/@stk_dataframe/sind.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sind.m +[inst/sampling/@stk_sampcrit_akg/stk_sampcrit_akg.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_sampcrit_akg/stk_sampcrit_akg.m +***** shared F, M, AKG + M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); +warning: Something went wrong during the optimization +crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt +***** test F = stk_sampcrit_akg () % ending ";" omitted on purpose, to test disp + +F = +| +| model: -- (not instantiated) +| reference_grid: -- (use current evaluation points) +| + +***** assert (isempty (F.model)) +***** assert (isempty (get (F, 'model'))) +***** assert (isempty (F.reference_grid)) +***** assert (isempty (get (F, 'reference_grid'))) +***** error F.toto +***** error get (F, 'toto') +***** error F.toto = 1.234; % field does not exist +***** error F = set (F, 'toto', 1.234); % field does not exist +***** error AKG = feval (F, 1.0); +***** test F = stk_sampcrit_akg (); F.model = M; + assert (isequal (F.model, M)); +***** test F = stk_sampcrit_akg (); F = set (F, 'model', M); + assert (isequal (F.model, M)); + assert (isequal (size (F.zr_mean), [3 1])) % n x 1 + assert (isequal (size (F.zr_std), [3 1])) % n x 1 + assert (isequal (size (F.zr_lambdamu), [4 3])) % (n+1) x n (constant mean) +***** test F.model = []; % remove model + assert (isempty (F.model)); + assert (isempty (F.zr_mean)) + assert (isempty (F.zr_std)) + assert (isempty (F.zr_lambdamu)) +***** test xr = [1 1.5 2 2.5 3]'; + F.reference_grid = xr % ending ";" omitted on purpose, to test disp + assert (isequal (F.reference_grid, xr)) + assert (isempty (F.zr_mean)) + assert (isempty (F.zr_std)) + assert (isempty (F.zr_lambdamu)) + +F = +| +| model: -- (not instantiated) +| reference_grid: <5x1 double array> +| + +***** test F.reference_grid = []; + assert (isempty (F.reference_grid)) +***** test F = stk_sampcrit_akg (); F.model = M; + assert (isequal (F.model, M)); + xr = [1 1.5 2 2.5 3]'; + F.reference_grid = xr % ending ";" omitted on purpose, to test disp + assert (isequal (F.reference_grid, xr)) + assert (isequal (size (F.zr_mean), [5 1])) % nr x 1 + assert (isequal (size (F.zr_std), [5 1])) % nr x 1 + assert (isequal (size (F.zr_lambdamu), [4 5])) % (n+1) x nr (constant mean) + +F = +| +| model: +| reference_grid: <5x1 double array> +| + +***** test F.reference_grid = []; + assert (isempty (F.reference_grid)) +***** test F = stk_sampcrit_akg (M) % ending ";" omitted on purpose, to test disp + +F = +| +| model: +| reference_grid: -- (use current evaluation points) +| + +***** assert (isequal (F.model, M)) +***** test AKG = feval (F, [1.0; 1.1; 1.2]); +***** assert (isequal (size (AKG), [3 1])) +***** assert (all (AKG >= 0)) +***** test [AKG2, zp] = feval (F, [1.0; 1.1; 1.2]); + assert (isequal (AKG2, AKG)); + assert (isa (zp, 'stk_dataframe') && isequal (size (zp), [3 2])) +***** shared F, xr + xr = [1 1.5 2 2.5 3]'; +***** test F = stk_sampcrit_akg (stk_model ()); +***** assert (isempty (F.reference_grid)) +***** test F.reference_grid = xr; +***** assert (isequal (F.reference_grid, xr)) +***** assert (isempty (F.zr_mean)) +***** assert (isempty (F.zr_std)) +***** assert (isempty (F.zr_lambdamu)) +***** error AKG = feval (F, 1.0); +***** shared F, M, xr + xr = [1 1.5 2 2.5 3]'; + M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); +warning: Something went wrong during the optimization +crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt +***** test F = stk_sampcrit_akg (M, xr); +***** assert (isequal (F.model, M)) +***** assert (isequal (F.reference_grid, xr)) +***** assert (isequal (size (F.zr_mean), [5 1])) % nr x 1 +***** assert (isequal (size (F.zr_std), [5 1])) % nr x 1 +***** assert (isequal (size (F.zr_lambdamu), [4 5])) % (n+1) x nr (constant mean) +37 tests, 37 passed, 0 known failure, 0 skipped +[inst/sampling/@stk_function/stk_function.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_function/stk_function.m +***** shared F +***** test F = stk_function () % ending ";" omitted on purpose, to test disp + +F = + +***** error [F F]; % arrays of sampling criterion objects are not supported +***** error [F; F]; % idem +***** error get (F, 'toto'); % field does not exist +***** error y = feval (F, 1.0); % not implemented for "pure" function objects +***** error dummy = F{2}; % illegal indexing +***** error dummy = F(1.0); % feval not implemented +***** error dummy = F.toto; % field does not exist +***** error F{2} = 1.234; % illegal indexing +***** error F(5) = 1.234; % illegal indexing +***** error F.toto = 1.234; % field does not exist +11 tests, 11 passed, 0 known failure, 0 skipped +[inst/sampling/stk_halfpintl.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_halfpintl.m +***** test % case #1 + a = 1; + b = 1; + [a_out, b_out, z_out] = stk_halfpintl (a, b); + assert (a_out == 1) + assert (b_out == 1) + assert (isempty (z_out)) +***** test % case #2: two lines, slopes not equal, already sorted + a = [1; -1]; + b = [0; 2]; + [a_out, b_out, z_out] = stk_halfpintl (a, b); + assert (isequal (a_out, [1; -1])) + assert (isequal (b_out, [0; 2])) + assert (z_out == 1) +***** test % case #3: same as #2, but not sorted + a = [-1; 1]; + b = [ 2; 0]; + [a_out, b_out, z_out] = stk_halfpintl (a, b); + assert (isequal (a_out, [1; -1])) + assert (isequal (b_out, [0; 2])) + assert (z_out == 1) +***** test % case #4: two lines, equal slopes, already sorted + a = [0; 0]; + b = [1; 2]; + [a_out, b_out, z_out] = stk_halfpintl (a, b); + assert (a_out == 0) + assert (b_out == 1) + assert (isempty (z_out)) +***** test % case #5: same as #4, but not sorted + a = [0; 0]; + b = [2; 1]; + [a_out, b_out, z_out] = stk_halfpintl (a, b); + assert (a_out == 0) + assert (b_out == 1) + assert (isempty (z_out)) +***** test % case #6: add a dominated line to #2 (the result does not change) + a = [1; -1; 0]; + b = [0; 2; 1]; + [a_out, b_out, z_out] = stk_halfpintl (a, b); + assert (isequal (a_out, [1; -1])) + assert (isequal (b_out, [0; 2])) + assert (z_out == 1) +***** test % case #7: permutation of #6 + a = [1; 0; -1]; + b = [0; 1; 2]; + [a_out, b_out, z_out] = stk_halfpintl (a, b); + assert (isequal (a_out, [1; -1])) + assert (isequal (b_out, [0; 2])) + assert (z_out == 1) +***** test % case #8: another permutation of #6 + a = [0; 1; -1]; + b = [1; 0; 2]; + [a_out, b_out, z_out] = stk_halfpintl (a, b); + assert (isequal (a_out, [1; -1])) + assert (isequal (b_out, [0; 2])) + assert (z_out == 1) +***** test % case #9: same as #8, with some duplicated lines added + a = [0; 1; 0; -1; 0; -1; 1]; + b = [1; 0; 1; 2; 1; 2; 0]; + [a_out, b_out, z_out] = stk_halfpintl (a, b); + assert (isequal (a_out, [1; -1])) + assert (isequal (b_out, [0; 2])) + assert (z_out == 1) +9 tests, 9 passed, 0 known failure, 0 skipped +[inst/sampling/stk_sampling_vdc_rr2.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_vdc_rr2.m +***** error __stk_sampling_vdc_rr2__() % two inputs required +***** error __stk_sampling_vdc_rr2__(10) % two inputs required +***** error __stk_sampling_vdc_rr2__(10, 3, -1) % two inputs required +***** test + n = 300; j = 25; + x = __stk_sampling_vdc_rr2__(n, j); + assert(isequal(size(x), [n 1])) ***** test - u = rand (4, 3); x = stk_dataframe (u); v = sind (x); - assert (strcmp (class (v), class (u)) && isequal (v, sind (u))) + x = __stk_sampling_vdc_rr2__(2000, 7); + y = double (x(1998:2000, :)); + yref = [0.849786281294525; 0.085080398941584; 0.555668634235701]; + assert(stk_isequal_tolrel(y, yref, 1e-13)); +5 tests, 5 passed, 0 known failure, 0 skipped +[inst/sampling/stk_sampling_olhs.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_olhs.m +***** shared x, n, d, box, permut + n = 5; d = 2; box = [0 0; 1, 1]; permut = 1:2; +***** error x = stk_sampling_olhs(); +***** test x = stk_sampling_olhs(n); +***** test x = stk_sampling_olhs(n, d); +***** test x = stk_sampling_olhs(n, d, box); +***** test x = stk_sampling_olhs(n, d, box, permut); +***** error x = stk_sampling_olhs(n, d, box, permut, pi); +***** assert (isa (x, 'stk_dataframe')); +***** assert (isequal (x.colnames, {})); +***** test + cn = {'W', 'H'}; box = stk_hrect (box, cn); + x = stk_sampling_olhs (n, d, box); + assert (isequal (x.colnames, cn)); +***** test + for r = 1:5 + + n = 2 ^ (r + 1) + 1; d = 2 * r; + x = stk_sampling_olhs (n, d); + + assert (isequal (size (x), [n d])); + + box = repmat ([-1; 1], 1, d); + assert (stk_is_lhs (x, n, d, box)); + + x = double (x); w = x' * x; + assert (stk_isequal_tolabs (w / w(1,1), eye (d))); + + end +10 tests, 10 passed, 0 known failure, 0 skipped +[inst/sampling/stk_sampling_maximinlhs.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_maximinlhs.m +***** shared x, n, dim, box, niter + n = 20; dim = 2; box = [0, 0; 1, 1]; niter = 1; +***** error x = stk_sampling_maximinlhs (); +***** test x = stk_sampling_maximinlhs (n); +***** test x = stk_sampling_maximinlhs (n, dim); +***** test x = stk_sampling_maximinlhs (n, dim, box); +***** test x = stk_sampling_maximinlhs (n, dim, box, niter); +***** assert (isa (x, 'stk_dataframe')); +***** assert (isequal (x.colnames, {})); +***** test + cn = {'W', 'H'}; box = stk_hrect (box, cn); + x = stk_sampling_maximinlhs (n, dim, box); + assert (isequal (x.colnames, cn)); +***** test + for dim = 1:5, + x = stk_sampling_randomlhs (n, dim); + assert (isequal (size (x), [n dim])); + u = double (x); u = u(:); + assert (~ any (isnan (u) | isinf (u))); + assert ((min (u) >= 0) && (max (u) <= 1)); + assert (stk_is_lhs (x, n, dim)); + end +9 tests, 9 passed, 0 known failure, 0 skipped +[inst/sampling/@stk_sampcrit_ei/stk_sampcrit_ei.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_sampcrit_ei/stk_sampcrit_ei.m +***** shared F, M, EI + M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); +warning: Something went wrong during the optimization +crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt +***** test F = stk_sampcrit_ei () % ending ";" omitted on purpose, to test disp + +F = +| +| model: -- (not instantiated) +| current_minimum: Inf +| + +***** assert (isempty (F.model)) +***** assert (isempty (get (F, 'model'))) +***** assert (F.current_minimum == +inf) +***** assert (get (F, 'current_minimum') == +inf) +***** error F.toto +***** error get (F, 'toto') +***** error F.current_min = 1.234; % read-only +***** error F = set (F, 'current_min', 1.234); % read-only +***** error F.toto = 1.234; % field does not exist +***** error F = set (F, 'toto', 1.234); % field does not exist +***** error EI = feval (F, 1.0); +***** test F = stk_sampcrit_ei (); F.model = M; + assert (~ isempty (F.model)); +***** test F = stk_sampcrit_ei (); F = set (F, 'model', M); + assert (~ isempty (F.model)); +***** test F.model = []; % remove model + assert (isempty (F.model)); + assert (F.current_minimum == +inf); +***** test F = stk_sampcrit_ei (M) % ending ";" omitted on purpose, to test disp + +F = +| +| model: +| current_minimum: 1.234 +| + +***** assert (isequal (F.model, M)) +***** assert (F.current_minimum == 1.234); +***** test EI = feval (F, [1.0; 1.1; 1.2]); +***** assert (isequal (size (EI), [3 1])) +***** assert (all (EI >= 0)) +***** shared F +***** test F = stk_sampcrit_ei (stk_model ()); +***** assert (F.current_minimum == +inf); +***** error feval (F, 1.0); +24 tests, 24 passed, 0 known failure, 0 skipped +[inst/sampling/stk_sampcrit_ei_eval.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampcrit_ei_eval.m +***** error EI = stk_sampcrit_ei_eval () % not enough args +***** error EI = stk_sampcrit_ei_eval (0) % not enough args +***** shared xi, zi, M_prior, xt, zp, EIref, EI1, EI2, EI3 + xi = [0; 0.2; 0.7; 0.9]; + zi = [1; 0.9; 0.6; 0.1]; + M_prior = stk_model (@stk_materncov32_iso); + M_prior.param = log ([1.0; 2.1]); + xt = stk_sampling_regulargrid (20, 1, [0; 1]); + zp = stk_predict (M_prior, xi, zi, xt); + EIref = stk_distrib_normal_ei (min (zi), zp.mean, sqrt (zp.var), true); +***** test % Current syntax (STK 2.4.1 and later) + EI1 = stk_sampcrit_ei_eval (zp.mean, sqrt (zp.var), min (zi)); +***** assert (isequal (EI1, EIref)) +4 tests, 4 passed, 0 known failure, 0 skipped +[inst/sampling/stk_sampling_nesteddesign.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_nesteddesign.m +***** shared x, n, dim, box, niter, levels + n = [23; 14; 5; 2]; dim = 2; box = [0, 0; 4, 4]; niter = 10; + levels = [10.1; 15.2; -9.3; 2.4; 17.5]; +***** error x = stk_sampling_nesteddesign (); +***** test x = stk_sampling_nesteddesign (n); +***** test x = stk_sampling_nesteddesign (n, dim); +***** test x = stk_sampling_nesteddesign (n, dim, box); +***** test x = stk_sampling_nesteddesign (n, dim, box, niter); +***** test x = stk_sampling_nesteddesign (n, dim, box, niter, levels); +***** assert ( isequal(size(x), [sum(n), dim + 1]) ); +***** assert ( isa(x, 'stk_dataframe') ); + cn = [0; cumsum(n)]; + for lev = 1:length(n), + y = x( (cn(lev) + 1):(cn(lev + 1)), 1:dim ); + assert (isequal (size (y), [n(lev) dim])); + if lev > 1 + assert ( isequal(z((end - n(lev) + 1):end, :), y) ); + end + if lev == length(n) + assert (stk_is_lhs (y, n(lev), dim, box)); + end + z = y; + end +***** assert (isequal (x.colnames{dim + 1}, 'Level')); + levels = stk_dataframe(levels, {'t'}); + box = stk_hrect(box, {'x1', 'x2', 'x3', 'x4'}); +***** test x = stk_sampling_nesteddesign (n, [], box, [], levels); +***** assert (isequal(x.colnames, {'x1', 'x2', 'x3', 'x4', 't'}) ); +11 tests, 11 passed, 0 known failure, 0 skipped +[inst/sampling/stk_sampcrit_akg_eval.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampcrit_akg_eval.m +***** shared zc_mean, zc_std, zr_mean, zr_std, zcr_cov, AKG, nc + xi = [0; 0.2; 0.7; 0.9]; + zi = [1; 0.9; 0.6; 0.1] - 10; + ni = 4; + + M_prior = stk_model (@stk_materncov32_iso); + M_prior.param = log ([1.0; 2.1]); + M_prior.lognoisevariance = 0.678; + + nc = 20; + xc = stk_sampling_regulargrid (nc, 1, [0; 1]); + [zp, ~, ~, K] = stk_predict (M_prior, xi, zi, [xi; xc]); + + ir = 1:ni; ic = ni + (1:nc); + + zc_mean = zp.mean(ic); + zc_std = sqrt (zp.var(ic)); + + % reference grid: current evaluation points ("KGCP") + zr_mean = zp.mean(ir); + zr_std = sqrt (zp.var(ir)); + + zcr_cov = K(ic, ir); +***** test AKG = stk_sampcrit_akg_eval (zc_mean, zc_std, zr_mean, zr_std, zcr_cov); +***** assert (isequal (size (AKG), [nc 1])) +***** assert (all (AKG >= 0)) +***** error AKG = stk_sampcrit_akg_eval (zc_mean, zc_std, zr_mean, zr_std); +4 tests, 4 passed, 0 known failure, 0 skipped +[inst/sampling/@stk_sampcrit_eqi/stk_sampcrit_eqi.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_sampcrit_eqi/stk_sampcrit_eqi.m +***** shared F, M, EQI + M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); +warning: Something went wrong during the optimization +crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt +***** test F = stk_sampcrit_eqi () % ending ";" omitted on purpose, to test disp + +F = +| +| model: -- (not instantiated) +| quantile_order: 0.5 +| point_batch_size: 1 +| current_minimum: Inf +| + +***** assert (isempty (F.model)) +***** assert (isempty (get (F, 'model'))) +***** assert (F.quantile_order == 0.5) +***** assert (get (F, 'quantile_order') == 0.5) +***** assert (F.current_minimum == +inf) +***** assert (get (F, 'current_minimum') == +inf) +***** error F.toto +***** error get (F, 'toto') +***** error F.current_min = 1.234; % read-only +***** error F = set (F, 'current_min', 1.234); % read-only +***** error F.toto = 1.234; % field does not exist +***** error F = set (F, 'toto', 1.234); % field does not exist +***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) +***** test F = set (F, 'quantile_order', 0.8); assert (F.quantile_order == 0.8) +***** error F.quantile_order = 1.1; +***** error F.quantile_order = -0.1; +***** error F.quantile_order = [1 2]; +***** error F.current_minimum = 3.333; % read-only +***** error F.quantile_value = 2.222; % read-only +***** error EQI = feval (F, 1.0); +***** test F = stk_sampcrit_eqi (); F.model = M; + assert (~ isempty (F.model)); +***** test F = stk_sampcrit_eqi (); F = set (F, 'model', M); + assert (~ isempty (F.model)); +***** test F.model = []; % remove model + assert (isempty (F.model)); + assert (F.current_minimum == +inf); +***** test F = stk_sampcrit_eqi (M) % ending ";" omitted on purpose, to test disp + +F = +| +| model: +| quantile_order: 0.5 +| point_batch_size: 1 +| current_minimum: 1.234 +| + +***** assert (isequal (F.model, M)) +***** assert (stk_isequal_tolrel (F.current_minimum, 1.234, 10 * eps)); +***** test EQI = feval (F, [1.0; 1.1; 1.2]); +***** assert (isequal (size (EQI), [3 1])) +***** assert (all (EQI >= 0)) +***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) +***** shared F, M, EQI + prior_model = stk_model (); + prior_model.lognoisevariance = 0.678; + M = stk_model_gpposterior (prior_model, [1 2 3]', [1.234 3 2]'); +***** test F = stk_sampcrit_eqi (M); +***** assert (isequal (F.model, M)) +***** assert (stk_isequal_tolrel (F.current_minimum, 2.077997, 1e-5)); +***** test EQI = feval (F, [1.0; 1.1; 1.2]); +***** assert (isequal (size (EQI), [3 1])) +***** assert (all (EQI >= 0)) +***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) +***** shared F +***** test F = stk_sampcrit_eqi (stk_model ()); +***** assert (F.current_minimum == +inf); +***** error feval (F, 1.0); +***** shared F, M + M = stk_model_gpposterior (stk_model (), [1 2 3]', [1.234 3 2]'); +warning: Something went wrong during the optimization +crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt +***** error F = stk_sampcrit_eqi (M, [], 0); +***** error F = stk_sampcrit_eqi (M, [], 1.5); +***** error F = stk_sampcrit_eqi (M, [], nan); +***** error F = stk_sampcrit_eqi (M, [], [10 20]); +***** test F = stk_sampcrit_eqi (M, [], 10); +***** assert (isequal (F.quantile_order, 0.5)); +***** assert (isequal (F.point_batch_size, 10)); +***** error F = stk_sampcrit_eqi (M, 0.8, 0); +***** error F = stk_sampcrit_eqi (M, 0.8, 1.5); +***** error F = stk_sampcrit_eqi (M, 0.8, nan); +***** error F = stk_sampcrit_eqi (M, 0.8, [10 20]); +***** test F = stk_sampcrit_eqi (M, 0.8, 5); +***** assert (isequal (F.quantile_order, 0.8)); +***** assert (isequal (F.point_batch_size, 5)); +***** shared F, M, EQI + prior_model = stk_model (); + prior_model.lognoisevariance = 0.678; + M = stk_model_gpposterior (prior_model, [1 2 3]', [1.234 3 2]'); + F = stk_sampcrit_eqi (M); +***** test F.point_batch_size = 10; % numeric +***** assert (isequal (F.point_batch_size, 10)) +***** test EQI = feval (F, [1.0; 1.1; 1.2]); +***** test F.point_batch_size = @(x, n) 100 - n; % function handle +***** assert (isa (F.point_batch_size, 'function_handle')) +***** test EQI = feval (F, [1.0; 1.1; 1.2]); +***** test F.point_batch_size = 'sin'; % char +***** assert (isa (F.point_batch_size, 'function_handle')) +63 tests, 63 passed, 0 known failure, 0 skipped +[inst/sampling/stk_sampling_halton_rr2.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_halton_rr2.m +***** error stk_sampling_halton_rr2 () % nargin < 1 +***** test + n = 300; d = 25; + x = stk_sampling_halton_rr2 (n, d); + assert (isequal (size (x), [n d])) +***** test + x = stk_sampling_halton_rr2 (1000, 3); + y = double (x(end, :)); + yref = [0.9052734375 0.028349336991312 0.74848]; + assert (stk_isequal_tolrel (y, yref, 1e-13)); +***** test + dim = 2; box = stk_hrect (dim); + x = stk_sampling_halton_rr2 (5, dim, box); + assert (isequal (x.colnames, {})); +***** test + dim = 2; cn = {'W', 'H'}; box = stk_hrect (dim, cn); + x = stk_sampling_halton_rr2 (5, dim, box); + assert (isequal (x.colnames, cn)); +5 tests, 5 passed, 0 known failure, 0 skipped +[inst/sampling/stk_sampling_nestedlhs.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_nestedlhs.m +***** shared x, n, dim, box, niter, levels + n = [48; 12; 4; 2]; dim = 2; box = [0, 0; 4, 4]; niter = 10; + levels = [10.1; 15.2; -9.3; 2.4; 17.5]; +***** error x = stk_sampling_nestedlhs (); +***** test x = stk_sampling_nestedlhs (n); +***** test x = stk_sampling_nestedlhs (n, dim); +***** test x = stk_sampling_nestedlhs (n, dim, box); +***** test x = stk_sampling_nestedlhs (n, dim, box, niter); +***** test x = stk_sampling_nestedlhs (n, dim, box, niter, levels); +***** assert ( isequal(size(x), [sum(n), dim + 1]) ); +***** assert ( isa(x, 'stk_dataframe') ); + cn = [0; cumsum(n)]; + for lev = 1:length(n), + y = x( (cn(lev) + 1):(cn(lev + 1)), 1:dim ); + assert (isequal (size (y), [n(lev) dim])); + assert (stk_is_lhs (y, n(lev), dim, box)); + if lev > 1 + assert ( isequal(z((end - n(lev) + 1):end, :), y) ); + end + z = y; + end +***** assert (isequal (x.colnames{dim + 1}, 'Level')); + levels = stk_dataframe(levels, {'t'}); + box = stk_hrect(box, {'x1', 'x2', 'x3', 'x4'}); +***** test x = stk_sampling_nestedlhs (n, [], box, [], levels); +***** assert (isequal(x.colnames, {'x1', 'x2', 'x3', 'x4', 't'}) ); +11 tests, 11 passed, 0 known failure, 0 skipped +[inst/sampling/stk_sampling_randunif.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_randunif.m +***** shared x, n, dim, box + n = 10; dim = 2; box = [0, 0; 2, 2]; +***** error x = stk_sampling_randunif (); +***** test x = stk_sampling_randunif (n); +***** test x = stk_sampling_randunif (n, dim); +***** test x = stk_sampling_randunif (n, dim, box); +***** assert (isa(x, 'stk_dataframe')); +***** assert (isequal (x.colnames, {})); +***** test + cn = {'W', 'H'}; box = stk_hrect (box, cn); + x = stk_sampling_randunif (n, dim, box); + assert (isequal (x.colnames, cn)); +***** test + for dim = 1:5, + x = stk_sampling_randunif(n, dim); + assert(isequal(size(x), [n dim])); + u = double(x); u = u(:); + assert(~any(isnan(u) | isinf(u))); + assert((min(u) >= 0) && (max(u) <= 1)); + end +8 tests, 8 passed, 0 known failure, 0 skipped +[inst/sampling/stk_sampling_randomlhs.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_randomlhs.m +***** shared x, n, dim, box + n = 10; dim = 2; box = [0, 0; 1, 1]; +***** error x = stk_sampling_randomlhs (); +***** test x = stk_sampling_randomlhs (n); +***** test x = stk_sampling_randomlhs (n, dim); +***** test x = stk_sampling_randomlhs (n, dim, box); +***** assert (isa(x, 'stk_dataframe')); +***** assert (isequal (x.colnames, {})); +***** test + cn = {'W', 'H'}; box = stk_hrect (box, cn); + x = stk_sampling_randomlhs (n, dim, box); + assert (isequal (x.colnames, cn)); +***** test + for dim = 1:5, + x = stk_sampling_randomlhs(n, dim); + assert(isequal(size(x), [n dim])); + u = double(x); u = u(:); + assert(~any(isnan(u) | isinf(u))); + assert((min(u) >= 0) && (max(u) <= 1)); + assert(stk_is_lhs(x, n, dim)); + end +8 tests, 8 passed, 0 known failure, 0 skipped +[inst/sampling/stk_sampling_regulargrid.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_regulargrid.m +***** shared x, n, dim, box + n = 9; dim = 2; box = [0, 0; 1, 1]; +***** error x = stk_sampling_regulargrid (); +***** test x = stk_sampling_regulargrid (n); +***** test x = stk_sampling_regulargrid (n, dim); +***** test x = stk_sampling_regulargrid (n, dim, box); +***** assert (isa (x, 'stk_dataframe')); +***** assert (isa (x, 'stk_factorialdesign')); +***** assert (isequal (x.colnames, {})); +***** test + cn = {'W', 'H'}; box = stk_hrect (box, cn); + x = stk_sampling_regulargrid (n, dim, box); + assert (isequal (x.colnames, cn)); +***** test + for dim = 1:3, + n = 3^dim; + x = stk_sampling_regulargrid(n, dim); + assert(isequal(size(x), [n dim])); + u = double(x); u = u(:); + assert(~any(isnan(u) | isinf(u))); + assert((min(u) >= 0) && (max(u) <= 1)); + end +***** test + nn = [3 4 5]; + for dim = 1:3, + x = stk_sampling_regulargrid(nn(1:dim), dim); + assert(isequal(size(x), [prod(nn(1:dim)) dim])); + u = double(x); u = u(:); + assert(~any(isnan(u) | isinf(u))); + assert((min(u) >= 0) && (max(u) <= 1)); + end +10 tests, 10 passed, 0 known failure, 0 skipped +[inst/sampling/stk_sampcrit_ehvi_eval.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampcrit_ehvi_eval.m +***** shared zr, zi + zr = [1 1]; + zi = [0.25 0.75; 0.5 0.5; 0.75 0.25]; +***** test % no improvement (1 computation) + zp_mean = [0.6 0.6]; zp_std = [0 0]; + EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); + assert (stk_isequal_tolabs (EHVI, 0, 1e-12)); +***** test % guaranteed improvement (1 computation) + zp_mean = [0 0]; zp_std = [0 0]; + EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); + assert (stk_isequal_tolabs (EHVI, 10 * 0.25 ^ 2)); +***** test % no improvement again (2 computations) + zp_mean = [0.5 0.5; 0.6 0.6]; zp_std = [0 0; 0 0]; + EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); + assert (stk_isequal_tolabs (EHVI, [0; 0], 1e-12)); +***** test % no observation -> EHVI wrt zr + zp_mean = [0.6 0.6]; zp_std = 0.01 * [1 1]; zi = []; + EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); + assert (stk_isequal_tolabs (EHVI, (1 - 0.6)^2, 1e-12)); +***** test % no observation below zr -> EHVI wrt zr + zp_mean = [0.6 0.6]; zp_std = 0.01 * [1 1]; zi = [2 2]; + EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); + assert (stk_isequal_tolabs (EHVI, (1 - 0.6)^2, 1e-12)); +5 tests, 5 passed, 0 known failure, 0 skipped +[inst/lm/@stk_lm_affine/stk_lm_affine.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_affine/stk_lm_affine.m +***** test stk_test_class ('stk_lm_affine') 1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/ismember.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/ismember.m -***** shared u, x, u1, x1, u2, x2 - u = rand (10, 4); - x = stk_dataframe (u); - x1 = x(1, :); - u1 = double (x1); - u2 = - ones (1, 4); - x2 = stk_dataframe (u2); -***** assert (ismember (u1, x, 'rows')) -***** assert (ismember (x1, u, 'rows')) -***** assert (ismember (x1, x, 'rows')) -***** assert (~ ismember (u2, x, 'rows')) -***** assert (~ ismember (x2, u, 'rows')) -***** assert (~ ismember (x2, x, 'rows')) +[inst/lm/@stk_lm_affine/feval.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_affine/feval.m ***** test - [b, idx] = ismember ([x2; x1; x1], x, 'rows'); - assert (isequal (b, [false; true; true])); - assert (isequal (idx, [0; 1; 1])) -7 tests, 7 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/ctranspose.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/ctranspose.m + n = 15; d = 4; + x = stk_sampling_randunif (n, d); + P = feval (stk_lm_affine (), x); + assert (isequal (size (P), [n, d + 1])); +1 test, 1 passed, 0 known failure, 0 skipped +[inst/lm/@stk_lm_null/feval.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_null/feval.m ***** test - u = rand(3, 2) + 1i * rand(3, 2); - data = stk_dataframe(u, {'x' 'y'}, {'obs1'; 'obs2'; 'obs3'}); - data = data'; - assert (isa(data, 'stk_dataframe') && isequal(double(data), u')); - assert (isequal(data.rownames, {'x'; 'y'})); - assert (isequal(data.colnames, {'obs1' 'obs2' 'obs3'})); + n = 15; d = 4; + x = stk_sampling_randunif (n, d); + P = feval (stk_lm_null (), x); + assert (isequal (size (P), [n, 0])); 1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/length.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/length.m -***** error length (stk_dataframe ([1 2; 3 4; 5 6])) +[inst/lm/@stk_lm_null/stk_lm_null.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_null/stk_lm_null.m +***** test stk_test_class ('stk_lm_null') 1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/stk_dataframe.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_dataframe.m -***** test stk_test_class ('stk_dataframe') -***** test % default constructor - x = stk_dataframe (); - assert (isa (x, 'stk_dataframe') && isequal (size (x), [0 0])) +[inst/lm/@stk_lm_cubic/stk_lm_cubic.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_cubic/stk_lm_cubic.m +***** test stk_test_class ('stk_lm_cubic') +1 test, 1 passed, 0 known failure, 0 skipped +[inst/lm/@stk_lm_cubic/feval.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_cubic/feval.m ***** test - y = stk_dataframe (rand (3, 2)); - assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) + n = 15; d = 4; + x = stk_sampling_randunif (n, d); + P = feval (stk_lm_cubic (), x); + assert (isequal (size (P), [n, 1 + d * (11 + d * (6 + d)) / 6])) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/lm/stk_lm_polynomial.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/stk_lm_polynomial.m +***** error lm = stk_lm_polynomial (); ***** test - y = stk_dataframe (rand (3, 2), {'x', 'y'}); - assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) - assert (isequal (y.colnames, {'x' 'y'})) + lm = stk_lm_polynomial (-1); + assert (isa (lm, 'stk_lm_null')); ***** test - y = stk_dataframe (rand (3, 2), {'x', 'y'}, {'a', 'b', 'c'}); - assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) - assert (isequal (y.colnames, {'x' 'y'})) - assert (isequal (y.rownames, {'a'; 'b'; 'c'})) + lm = stk_lm_polynomial (0); + assert (isa (lm, 'stk_lm_constant')); ***** test - x = stk_dataframe (rand (3, 2)); - y = stk_dataframe (x); - assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) -***** error - x = stk_dataframe (rand (3, 2)); - y = stk_dataframe (x, pi); -***** error - x = stk_dataframe (rand (3, 2)); - y = stk_dataframe (x, {}, pi); + lm = stk_lm_polynomial (1); + assert (isa (lm, 'stk_lm_affine')); ***** test - x = stk_dataframe (rand (3, 2)); - y = stk_dataframe (x, {'x' 'y'}); - assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) - assert (isequal (y.colnames, {'x' 'y'})) + lm = stk_lm_polynomial (2); + assert (isa (lm, 'stk_lm_quadratic')); ***** test - x = stk_dataframe (rand (3, 2)); - y = stk_dataframe (x, {'x' 'y'}, {'a', 'b', 'c'}); - assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) - assert (isequal (y.colnames, {'x' 'y'})) - assert (isequal (y.rownames, {'a'; 'b'; 'c'})) + lm = stk_lm_polynomial (3); + assert (isa (lm, 'stk_lm_cubic')); +6 tests, 6 passed, 0 known failure, 0 skipped +[inst/lm/@stk_lm_constant/stk_lm_constant.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_constant/stk_lm_constant.m +***** test stk_test_class ('stk_lm_constant') +1 test, 1 passed, 0 known failure, 0 skipped +[inst/lm/@stk_lm_constant/feval.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_constant/feval.m ***** test - x = stk_dataframe (rand (3, 2), {'x' 'y'}); - y = stk_dataframe (x, [], {'a', 'b', 'c'}); - assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) - assert (isequal (y.colnames, {'x' 'y'})) - assert (isequal (y.rownames, {'a'; 'b'; 'c'})) + n = 15; d = 4; + x = stk_sampling_randunif (n, d); + P = feval (stk_lm_constant (), x); + assert (isequal (size (P), [n, 1])); +1 test, 1 passed, 0 known failure, 0 skipped +[inst/lm/@stk_lm_matrix/stk_lm_matrix.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_matrix/stk_lm_matrix.m +***** test stk_test_class ('stk_lm_matrix') +***** test %%% dim 1 + data = rand (10, 1); idx = 3:7; + lm = stk_lm_matrix (data); + assert (isa (lm, 'stk_lm_matrix')); + assert (isequal (data(idx, :), feval (lm, idx))); +***** test %%% dim 3 + data = rand (10, 3); idx = 3:7; + lm = stk_lm_matrix (data); + assert (isa (lm, 'stk_lm_matrix')); + assert (isequal (data(idx, :), feval (lm, idx))); +3 tests, 3 passed, 0 known failure, 0 skipped +[inst/lm/@stk_lm_quadratic/feval.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_quadratic/feval.m ***** test - x = stk_dataframe (rand (3, 2), {'x' 'y'}); - y = stk_dataframe (x, {}, {'a', 'b', 'c'}); - assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) - assert (isequal (y.colnames, {})) - assert (isequal (y.rownames, {'a'; 'b'; 'c'})) + n = 15; d = 4; + x = stk_sampling_randunif (n, d); + P = feval (stk_lm_quadratic (), x); + assert (isequal (size (P), [n, 1 + d * (d + 3) / 2])); +1 test, 1 passed, 0 known failure, 0 skipped +[inst/lm/@stk_lm_quadratic/stk_lm_quadratic.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_quadratic/stk_lm_quadratic.m +***** test stk_test_class ('stk_lm_quadratic') +1 test, 1 passed, 0 known failure, 0 skipped +[inst/model/noise/@stk_gaussiannoise_het0/set.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/noise/@stk_gaussiannoise_het0/set.m +***** shared M_post + x_obs = (linspace (0, pi, 15))'; + z_obs = sin (x_obs); + M_prior = stk_model (@stk_materncov32_iso); + M_prior.param = log ([1.0; 2.1]); + M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); +***** error value = get (M_post, 1.33); +***** error value = get (M_post, 'dudule'); +***** test value = get (M_post, 'prior_model'); +3 tests, 3 passed, 0 known failure, 0 skipped +[inst/model/@stk_model_gpposterior/stk_model_update.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_model_update.m +***** shared x_obs, z_obs, ref, M_prior, x_new, z_new, lnv_new + [x_obs, z_obs, ref] = stk_dataset_twobumps ('noisy2'); + M_prior = stk_model (@stk_materncov52_iso); + M_prior.param = [-0.15; 0.38]; + M_prior.lognoisevariance = 2 * log (ref.noise_std); + x_new = [-0.79; -0.79]; + z_new = [-0.69; -0.85]; + lnv_new = ref.noise_std_func (x_new); +***** test % heteroscedastic + M_prior.lognoisevariance = 2 * log (ref.noise_std); + M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); + M_post = stk_model_update (M_post, x_new, z_new, lnv_new); +***** error % using lnv_new / homoscedastic + M_prior.lognoisevariance = 0; + M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); + M_post = stk_model_update (M_post, x_new, z_new, lnv_new); % NOT OK +***** error % using lnv_new / noiseless + M_prior.lognoisevariance = -inf; + M_post = stk_model_gpposterior (M_prior, x_obs, z_obs) + M_post = stk_model_update (M_post, x_new, z_new, lnv_new); % NOT OK +***** error % not using lnv_new / heteroscedastic + M_prior.lognoisevariance = 2 * log (ref.noise_std); + M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); + M_post = stk_model_update (M_post, x_new, z_new); +4 tests, 4 passed, 0 known failure, 0 skipped +[inst/model/@stk_model_gpposterior/stk_model_gpposterior.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_model_gpposterior.m +***** test stk_test_class ('stk_model_gpposterior') +***** shared M_prior, x_obs, z_obs + x_obs = (linspace (0, pi, 15))'; + z_obs = sin (x_obs); + + M_prior = stk_model (@stk_materncov32_iso); + M_prior.param = log ([1.0; 2.1]); +***** test M_post = stk_model_gpposterior (); +***** test M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); +***** error M_post = stk_model_gpposterior (M_prior, x_obs, [z_obs; z_obs]); +***** error M_post = stk_model_gpposterior (M_prior, x_obs, [z_obs; z_obs], 3.441); +***** test % hidden feature + kreq = stk_kreq_qr (M_prior, x_obs); + M_post = stk_model_gpposterior (M_prior, {x_obs, kreq}, z_obs); +***** test % NaNs in prior_model.param + DIM = 1; M = stk_model (@stk_materncov52_aniso, DIM); + M.param = nan (2, 1); % this is currently the default + x = stk_sampling_regulargrid (20, DIM, [0; 1]); + y = sin (double (x)); + zp = stk_predict (M, x, y, x); +7 tests, 7 passed, 0 known failure, 0 skipped +[inst/model/@stk_model_gpposterior/get.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/get.m +***** shared M_post + x_obs = (linspace (0, pi, 15))'; + z_obs = sin (x_obs); + M_prior = stk_model (@stk_materncov32_iso); + M_prior.param = log ([1.0; 2.1]); + M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); +***** error value = get (M_post, 1.33); +***** error value = get (M_post, 'dudule'); +***** test value = get (M_post, 'prior_model'); +3 tests, 3 passed, 0 known failure, 0 skipped +[inst/model/@stk_model_gpposterior/stk_predict_leaveoneout.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_predict_leaveoneout.m +***** test % Check virtual Leave-One-Out formula + + n = 20; d = 1; + x_obs = stk_sampling_regulargrid (n, d, [0; 2*pi]); + z_obs = stk_feval (@sin, x_obs); + + lm_list = {stk_lm_null, stk_lm_constant, stk_lm_affine}; + + for j = 0:2 + for k = 1:(length (lm_list)) + + model = stk_model (@stk_materncov32_iso, d); + model.lm = lm_list{k}; + model.param = log ([1; 5]); + + switch j % test various scenarios for lognoisevariance + case 0 + model.lognoisevariance = -inf; + case 1 + model.lognoisevariance = 0; + case 2 + model.lognoisevariance = (1 + rand (n, 1)) * 1e-3; + end + + M_post = stk_model_gpposterior (model, x_obs, z_obs); + + [loo_pred, loo_res] = stk_predict_leaveoneout (M_post); + [direct_pred, direct_res] = stk_predict_leaveoneout_direct (M_post); + + assert (stk_isequal_tolrel (loo_pred, direct_pred)); + assert (stk_isequal_tolrel (loo_res, direct_res)); + + end + end +1 test, 1 passed, 0 known failure, 0 skipped +[inst/model/@stk_model_gpposterior/stk_predict_.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_predict_.m +***** shared n, m, M_post, M_prior, x0, x_obs, z_obs, x_prd, y_prd, idx_obs, idx_prd + + n = 10; % number of observations + m = n + 1; % number of predictions + d = 1; % dimension of the input space + + x0 = (linspace (0, pi, n + m))'; + + idx_obs = (2:2:(n+m-1))'; + idx_prd = (1:2:(n+m))'; + + x_obs = x0(idx_obs); + z_obs = sin (x_obs); + x_prd = x0(idx_prd); + + M_prior = stk_model (@stk_materncov32_iso); + M_prior.param = log ([1.0; 2.1]); + + M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); +***** error y_prd = stk_predict (M_post); +***** test y_prd = stk_predict (M_post, x_prd); +***** error y_prd = stk_predict (M_post, [x_prd x_prd]); +***** test % nargout = 2 + [y_prd1, lambda] = stk_predict (M_post, x_prd); + assert (stk_isequal_tolrel (y_prd, y_prd1)); + assert (isequal (size (lambda), [n m])); +***** test % nargout = 3 + [y_prd1, lambda, mu] = stk_predict (M_post, x_prd); + assert (stk_isequal_tolrel (y_prd, y_prd1)); + assert (isequal (size (lambda), [n m])); + assert (isequal (size (mu), [1 m])); % ordinary kriging +***** test % nargout = 4 + [y_prd1, lambda, mu, K] = stk_predict (M_post, x_prd); + assert (stk_isequal_tolrel (y_prd, y_prd1)); + assert (isequal (size (lambda), [n m])); + assert (isequal (size (mu), [1 m])); % ordinary kriging + assert (isequal (size (K), [m m])); +***** test % nargout = 2, compute only variances + M_post1 = stk_model_gpposterior (M_prior, x_obs, []); + [y_prd_nan, lambda] = stk_predict (M_post1, x_prd); + assert (isequal (size (lambda), [n m])); + assert (all (isnan (y_prd_nan.mean))); +***** test % discrete model (prediction indices provided) + M_prior1 = stk_model (@stk_discretecov, M_prior, x0); + M_post1 = stk_model_gpposterior (M_prior1, idx_obs, z_obs); + y_prd1 = stk_predict (M_post1, idx_prd); + assert (stk_isequal_tolrel (y_prd, y_prd1)); +***** test % discrete model (prediction indices *not* provided) + M_prior1 = stk_model (@stk_discretecov, M_prior, x0); + M_post1 = stk_model_gpposterior (M_prior1, idx_obs, z_obs); + y_prd1 = stk_predict (M_post1, []); % predict them all! + assert (stk_isequal_tolrel (y_prd, y_prd1(idx_prd, :))); +9 tests, 9 passed, 0 known failure, 0 skipped +[inst/model/@stk_model_gpposterior/set.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/set.m +***** shared M_post + x_obs = (linspace (0, pi, 15))'; + z_obs = sin (x_obs); + M_prior = stk_model (@stk_materncov32_iso); + M_prior.param = log ([1.0; 2.1]); + M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); +***** error value = get (M_post, 1.33); +***** error value = get (M_post, 'dudule'); +***** test value = get (M_post, 'prior_model'); +3 tests, 3 passed, 0 known failure, 0 skipped +[inst/model/prior_struct/stk_model.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/prior_struct/stk_model.m +***** test model = stk_model (); +***** test model = stk_model (@stk_expcov_iso); +***** test model = stk_model (@stk_expcov_iso, 1); +***** test model = stk_model (@stk_expcov_iso, 3); +***** test model = stk_model (@stk_expcov_aniso); +***** test model = stk_model (@stk_expcov_aniso, 1); +***** test model = stk_model (@stk_expcov_aniso, 3); +***** test model = stk_model (@stk_materncov_iso); +***** test model = stk_model (@stk_materncov_iso, 1); +***** test model = stk_model (@stk_materncov_iso, 3); +***** test model = stk_model (@stk_materncov_aniso); +***** test model = stk_model (@stk_materncov_aniso, 1); +***** test model = stk_model (@stk_materncov_aniso, 3); +***** test model = stk_model (@stk_materncov32_iso); +***** test model = stk_model (@stk_materncov32_iso, 1); +***** test model = stk_model (@stk_materncov32_iso, 3); +***** test model = stk_model (@stk_materncov32_aniso); +***** test model = stk_model (@stk_materncov32_aniso, 1); +***** test model = stk_model (@stk_materncov32_aniso, 3); +***** test model = stk_model (@stk_materncov52_iso); +***** test model = stk_model (@stk_materncov52_iso, 1); +***** test model = stk_model (@stk_materncov52_iso, 3); +***** test model = stk_model (@stk_materncov52_aniso); +***** test model = stk_model (@stk_materncov52_aniso, 1); +***** test model = stk_model (@stk_materncov52_aniso, 3); +***** test model = stk_model (@stk_gausscov_iso); +***** test model = stk_model (@stk_gausscov_iso, 1); +***** test model = stk_model (@stk_gausscov_iso, 3); +***** test model = stk_model (@stk_gausscov_aniso); +***** test model = stk_model (@stk_gausscov_aniso, 1); +***** test model = stk_model (@stk_gausscov_aniso, 3); +***** test model = stk_model (@stk_sphcov_iso); +***** test model = stk_model (@stk_sphcov_iso, 1); +***** test model = stk_model (@stk_sphcov_iso, 3); +***** test model = stk_model (@stk_sphcov_aniso); +***** test model = stk_model (@stk_sphcov_aniso, 1); +***** test model = stk_model (@stk_sphcov_aniso, 3); +37 tests, 37 passed, 0 known failure, 0 skipped +[inst/model/prior_struct/stk_covmat_noise.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/prior_struct/stk_covmat_noise.m +***** shared model, model2, x1, x2, n1, n2, d, Ka, Kb, Kc, Pa, Pb, Pc, P1, P2, P3, K1, K2, K3 + n1 = 20; n2 = 10; d = 4; + model = stk_model (@stk_materncov52_aniso, d); + model.lm = stk_lm_affine; + model.param = log ([1.0; 2.1; 2.2; 2.3; 2.4]); + model2 = model; model2.lognoisevariance = log(0.01); + x1 = stk_sampling_randunif (n1, d); + x2 = stk_sampling_randunif (n2, d); +***** error [KK, PP] = stk_covmat_noise (); +***** error [KK, PP] = stk_covmat_noise (model); +***** test [Ka, Pa] = stk_covmat_noise (model, x1); % (1) +***** test [K1, P1] = stk_covmat_noise (model, x1, []); +***** test [K2, P2] = stk_covmat_noise (model, x1, [], -1); +***** test [K3, P3] = stk_covmat_noise (model, x1, [], -1, false); +***** assert (isequal (size (Ka), [n1 n1])); +***** assert (isequal (size (Pa), [n1 0])); +***** assert (isequal (P1, Pa) && (isequal (K1, Ka))) +***** assert (isequal (P2, Pa) && (isequal (K2, Ka))) +***** assert (isequal (P3, Pa) && (isequal (K3, Ka))) +***** test [Kb, Pb] = stk_covmat_noise (model, x1, x1); % (2) +***** test [K1, P1] = stk_covmat_noise (model, x1, x1, -1); +***** test [K2, P2] = stk_covmat_noise (model, x1, x1, -1, false); +***** assert (isequal (size (Kb), [n1 n1])); +***** assert (isequal (size (Pb), [n1 0])); +***** assert (isequal (P1, Pb) && (isequal (K1, Kb))) +***** assert (isequal (P2, Pb) && (isequal (K2, Kb))) +***** test [Kc, Pc] = stk_covmat_noise (model, x1, x2); % (3) +***** test [K1, P1] = stk_covmat_noise (model, x1, x2, -1); +***** test [K2, P2] = stk_covmat_noise (model, x1, x2, -1, false); +***** assert (isequal (size (Kc), [n1 n2])); +***** assert (isequal (size (Pc), [n1 0])); +***** assert (isequal (P1, Pc) && (isequal (K1, Kc))) +***** assert (isequal (P2, Pc) && (isequal (K2, Kc))) +***** assert (isequal (Kb, Ka)); +***** test [Ka, Pa] = stk_covmat_noise (model2, x1); % (1') +***** test [Kb, Pb] = stk_covmat_noise (model2, x1, x1); % (2') +***** error assert (isequal (Kb, Ka)); +***** assert (isequal (Pa, Pb)); +***** assert (isequal (Pa, Pc)); +31 tests, 31 passed, 0 known failure, 0 skipped +[inst/model/prior_struct/stk_ortho_func.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/prior_struct/stk_ortho_func.m +***** shared model, x, n, d + n = 15; d = 4; + model = stk_model (@stk_materncov_aniso, d); + x = stk_sampling_randunif (n, d); + model = rmfield (model, 'lm'); % Test the old .order approach +***** error P = stk_ortho_func (); +***** error P = stk_ortho_func (model); +***** test P = stk_ortho_func (model, x); ***** test - x = stk_factorialdesign ({1:3, 1:2}, {'x' 'y'}); - y = stk_dataframe (x, [], {'a' 'b' 'c' 'd' 'e' 'f'}); - assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) - assert (isequal (y.colnames, {'x' 'y'})) - assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) + model.order = -1; P = stk_ortho_func (model, x); + assert (isequal (size (P), [n, 0])); ***** test - x = stk_factorialdesign ({1:3, 1:2}, {}, {'a' 'b' 'c' 'd' 'e' 'f'}); - y = stk_dataframe (x, {'x' 'y'}); - assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) - assert (isequal (y.colnames, {'x' 'y'})) - assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) + model.order = 0; P = stk_ortho_func (model, x); + assert (isequal (size (P), [n, 1])); ***** test - x = stk_factorialdesign ({1:3, 1:2}, {}, {'a' 'b' 'c' 'd' 'e' 'f'}); - y = stk_dataframe (x, {'x' 'y'}, []); - assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) - assert (isequal (y.colnames, {'x' 'y'})) - assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) + model.order = 1; P = stk_ortho_func (model, x); + assert (isequal (size (P), [n, d + 1])); ***** test - x = stk_factorialdesign ({1:3, 1:2}, {'x' 'y'}, {'a' 'b' 'c' 'd' 'e' 'f'}); - y = stk_dataframe (x); - assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) - assert (isequal (y.colnames, {'x' 'y'})) - assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) -***** error - x = stk_factorialdesign ({1:3, 1:2}); - y = stk_dataframe (x, pi); + model.order = 2; P = stk_ortho_func (model, x); + assert (isequal (size (P), [n, 1 + d * (d + 3) / 2])); +***** test + model.order = 3; P = stk_ortho_func (model, x); + assert (isequal (size (P), [n, 1 + d * (11 + d * (6 + d)) / 6])); ***** error + model.order = 4; P = stk_ortho_func (model, x); + % model.order > 3 is not allowed +9 tests, 9 passed, 0 known failure, 0 skipped +[inst/utils/stk_generate_samplepaths.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/utils/stk_generate_samplepaths.m +***** shared model, xi, zi, xt, n, nb_paths + dim = 1; n = 50; nb_paths = 5; + model = stk_model (@stk_materncov32_iso, dim); + model.param = log ([1.0; 2.9]); + xt = stk_sampling_regulargrid (n, dim, [-1.0; 1.0]); + xi = [xt(1, :); xt(end, :)]; zi = [0; 0]; +***** error zsim = stk_generate_samplepaths (); +***** error zsim = stk_generate_samplepaths (model); +***** test zsim = stk_generate_samplepaths (model, xt); +***** test zsim = stk_generate_samplepaths (model, xt, nb_paths); +***** test zsim = stk_generate_samplepaths (model, xi, zi, xt); +***** test zsim = stk_generate_samplepaths (model, xi, zi, xt, nb_paths); +***** test + zsim = stk_generate_samplepaths (model, xt); + assert (isequal (size (zsim), [n, 1])); +***** test + zsim = stk_generate_samplepaths (model, xt, nb_paths); + assert (isequal (size (zsim), [n, nb_paths])); +***** test % duplicate simulation points + zsim = stk_generate_samplepaths (model, [xt; xt], nb_paths); + assert (isequal (size (zsim), [2 * n, nb_paths])); + assert (isequal (zsim(1:n, :), zsim((n + 1):end, :))); +***** test % simulation points equal to observation points (noiseless model) + % https://sourceforge.net/p/kriging/tickets/14/ + zsim = stk_generate_samplepaths (model, xt, zeros (n, 1), xt); + assert (isequal (zsim, zeros (n, 1))); +10 tests, 10 passed, 0 known failure, 0 skipped +[inst/utils/stk_conditioning.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/utils/stk_conditioning.m +***** shared n, m, ni, xi_ind, lambda, zsim, zi + + n = 50; m = 5; ni = 10; xi_ind = 1:ni; + lambda = 1/ni * ones (ni, n); % prediction == averaging + zsim = ones (n, m); % const unconditioned samplepaths + zi = zeros (ni, 1); % conditioning by zeros +***** error zsimc = stk_conditioning (); +***** error zsimc = stk_conditioning (lambda); +***** error zsimc = stk_conditioning (lambda, zi); +***** test zsimc = stk_conditioning (lambda, zi, zsim); +***** test zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); +***** test + zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); + assert (stk_isequal_tolabs (double (zsimc), zeros (n, m))); +***** test + zi = 2 * ones (ni, 1); % conditioning by twos + zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); + assert (stk_isequal_tolabs (double (zsimc), 2 * ones (n, m))); +***** test + DIM = 1; nt = 400; + xt = stk_sampling_regulargrid (nt, DIM, [-1.0; 1.0]); + + NI = 6; xi_ind = [1 20 90 200 300 350]; + xi = xt(xi_ind, 1); + zi = (1:NI)'; % linear response ;-) + + % Carry out the kriging prediction at points xt + model = stk_model (@stk_materncov52_iso); + model.param = log ([1.0; 2.9]); + [ignore_zp, lambda] = stk_predict (model, xi, [], xt); + + % Generate (unconditional) sample paths according to the model + NB_PATHS = 10; + zsim = stk_generate_samplepaths (model, xt, NB_PATHS); + zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); +8 tests, 8 passed, 0 known failure, 0 skipped +[inst/misc/pareto/stk_isdominated.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/pareto/stk_isdominated.m +***** test + A = [1 3 2]; + B = [0 0 0]; + [isdom, dpos] = stk_isdominated (A, B); + assert (isdom == 1); + assert (dpos == 1); +***** test + A = [1 3 2]; + B = [0 0 3]; + [isdom, dpos] = stk_isdominated (A, B); + assert (isdom == 0); + assert (dpos == 0); +***** test + A = [1 3 2]; + B = [0 0 0; 0 0 3]; + [isdom, dpos] = stk_isdominated (A, B); + assert (isdom == 1); + assert (dpos == 1); +***** test + A = [1 3 2]; + B = [0 0 3; 0 0 0]; + [isdom, dpos] = stk_isdominated (A, B); + assert (isdom == 1); + assert (dpos == 2); +***** test + A = [1 3 2; 1 0 1; -1 0 0; 1 3 2]; + B = [1 0 0; 0 0 3; 0 0 0]; + [isdom, dpos] = stk_isdominated (A, B); + assert (isequal (isdom, logical ([1; 1; 0; 1]))); + assert (isequal (dpos, [3; 3; 0; 3])); +5 tests, 5 passed, 0 known failure, 0 skipped +[inst/misc/pareto/stk_dominatedhv.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/pareto/stk_dominatedhv.m +***** error hv = stk_dominatedhv (); +***** error hv = stk_dominatedhv (-y, 'incorrect ref type'); +***** error hv = stk_dominatedhv (-y, [0 0]); +***** error hv = stk_dominatedhv (-y, [0 0 0 0 0], 0, 'too many input args'); +***** shared y, hv0 % Example from README.TXT in WFG 1.10 + + y = [ ... + 0.598 0.737 0.131 0.916 6.745; ... + 0.263 0.740 0.449 0.753 6.964; ... + 0.109 8.483 0.199 0.302 8.872 ]; + + hv0 = 1.1452351120; +***** test + hv = stk_dominatedhv (-y); + assert (stk_isequal_tolrel (hv, hv0, 1e-10)); +***** test + yy = stk_dataframe (- y); % Check that @stk_dataframe inputs are accepted + hv = stk_dominatedhv (yy); + assert (stk_isequal_tolrel (hv, hv0, 1e-10)); +***** test + hv = stk_dominatedhv (-y, [], 0); + assert (stk_isequal_tolrel (hv, hv0, 1e-10)); +***** test + hv = stk_dominatedhv (-y, [0 0 0 0 0]); + assert (stk_isequal_tolrel (hv, hv0, 1e-10)); +***** test + hv = stk_dominatedhv (1 - y, [1 1 1 1 1]); + assert (stk_isequal_tolrel (hv, hv0, 1e-10)); +***** test + r = stk_dominatedhv (-y, [], 1); + hv = sum (r.sign .* prod (r.xmax - r.xmin, 2)); + assert (stk_isequal_tolrel (hv, hv0, 1e-10)); +***** shared y1, y2, y0, S, S1 + y0 = [1.00 1.00]; % Reference point + y1 = [1.50 1.50]; % Above the reference point + y2 = [0.50 0.50]; % Below the reference point +***** assert (isequal (0.00, stk_dominatedhv (y1, y0))); +***** assert (isequal (0.25, stk_dominatedhv (y2, y0))); +***** assert (isequal (0.25, stk_dominatedhv ([y1; y2], y0))); +***** assert (isequal (0.25, stk_dominatedhv ([y2; y1; y2], y0))); +***** test S = stk_dominatedhv (y1, y0, 1); % empty decomposition +***** assert (isequal (size (S.xmin, 1), 0)); +***** test S = stk_dominatedhv (y2, y0, 1); % trivial decomposition +***** assert (isequal (S.sign, 1)); +***** assert (isequal (S.xmin, y2)); +***** assert (isequal (S.xmax, y0)); +***** test S1 = stk_dominatedhv ([y2; y0], y0, 1); % shoud be the same as before +***** assert (isequal (S1, S)); +***** test S1 = stk_dominatedhv ([y2; y1], y0, 1); % shoud be the same as before +***** assert (isequal (S1, S)); +***** test S1 = stk_dominatedhv ([y2; y2], y0, 1); % shoud be the same as before +***** assert (isequal (S1, S)); +***** test + for d = 1:10, + y = - 0.5 * ones (1, d); + hv = stk_dominatedhv (y); + assert (isequal (stk_dominatedhv (y), 0.5 ^ d)); + end +***** test + for d = 1:10, + y = - 0.5 * ones (1, d); + r = stk_dominatedhv (y, [], 1); + hv = sum (r.sign .* prod (r.xmax - r.xmin, 2)); + assert (isequal (stk_dominatedhv (y), 0.5 ^ d)); + end +***** shared y, y_ref, dv, hv0 + y1 = [0.25 0.75]; + y2 = [0.50 0.50]; + y3 = [0.75 0.25]; + + y_ref = [1 1]; + + y = {[], y1, y2, y3; [y1; y2], [y1; y3], [y2; y3], [y1; y2; y3]}; + + dv = 0.25 ^ 2; hv0 = [0 3 4 3; 5 5 5 6] * dv; +***** test + hv1 = stk_dominatedhv (y, y_ref); + assert (isequal (hv0, hv1)); +***** test + r = stk_dominatedhv (y, y_ref, 1); + + % Check the first decomposition, which should be empty + assert (isempty (r(1).sign)); + assert (isempty (r(1).xmin)); + assert (isempty (r(1).xmax)); + + % Check the other decompositions + for i = 2:6, + hv2 = sum (r(i).sign .* prod (r(i).xmax - r(i).xmin, 2)); + assert (isequal (hv0(i), hv2)); + end +***** test + y = (0.3:0.1:0.8)'; + hv0 = 0.7; + hv1 = stk_dominatedhv (y, 1); + r = stk_dominatedhv (y, 1, true); + hv2 = sum (r.sign .* prod (r.xmax - r.xmin, 2)); +***** test % four non-dominated points (hypervolume) + zr = [1 1]; + zi = [0.2 0.8; 0.4 0.6; 0.6 0.4; 0.8 0.2] + P = perms (1:4); + for i = 1:24 + HV = stk_dominatedhv (zi(P(i, :), :), zr, 0); + assert (stk_isequal_tolrel (HV, 0.4, 1e-15)); + end +zi = + + 0.2000 0.8000 + 0.4000 0.6000 + 0.6000 0.4000 + 0.8000 0.2000 + +***** test % four non-dominated points (decomposition) + zr = [1 1]; + zi = [0.2 0.8; 0.4 0.6; 0.6 0.4; 0.8 0.2] + P = perms (1:4); + for i = 1:24 + S = stk_dominatedhv (zi(P(i, :), :), zr, 1); + HV = sum (S.sign .* prod (S.xmax - S.xmin, 2)); + assert (stk_isequal_tolrel (HV, 0.4, 1e-15)); + end +zi = + + 0.2000 0.8000 + 0.4000 0.6000 + 0.6000 0.4000 + 0.8000 0.2000 + +***** test % a case with 8 points and 5 objectives + % http://sourceforge.net/p/kriging/tickets/33 + + yr = [1.03 0.91 0.96 1.99 16.2]; + + y = [ ... + 0.8180 0.5600 0.1264 1.0755 1.2462; ... + 0.8861 0.6928 0.2994 0.7228 0.9848; ... + 0.9021 0.8829 0.6060 0.1642 0.4282; ... + 0.9116 0.3097 0.8601 0.0468 0.2813; ... + 0.9306 0.1429 0.6688 0.1462 1.3661; ... + 0.9604 0.3406 0.4046 0.7239 1.8741; ... + 0.9648 0.7764 0.5199 0.4098 1.3436; ... + 0.9891 0.4518 0.7956 0.1164 1.2025]; + + hv1 = stk_dominatedhv (y, yr, 0); + + S = stk_dominatedhv (y, yr, 1); + hv2 = sum (S.sign .* prod (S.xmax - S.xmin, 2)); + + assert (isequal (size (S.sign), [87 1])); + assert (isequal (size (S.xmin), [87 5])); + assert (isequal (size (S.xmax), [87 5])); + assert (stk_isequal_tolrel (hv1, 1.538677420906463, 2 * eps)); + assert (stk_isequal_tolrel (hv1, hv2, eps)); +***** test % with random data + NREP = 5; + for p = 1:5 + for n = 1:10 + for i = 1:NREP + % Draw random data + y = rand (n, p); + y = - y ./ (norm (y)); + % Compute hypervolume directly + hv1 = stk_dominatedhv (y, [], 0); + % Compute decomposition, then hypervolume + R = stk_dominatedhv (y, [], 1); + hv2 = sum (R.sign .* prod (R.xmax - R.xmin, 2)); + % Compare results + assert (stk_isequal_tolabs (hv1, hv2, eps)); + end + end + end +35 tests, 35 passed, 0 known failure, 0 skipped +[inst/misc/pareto/stk_paretofind.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/pareto/stk_paretofind.m +***** shared x, ndpos, drank + x = [ ... + 0 2; ... + 2 2; ... + ]; +***** test [ndpos, drank] = stk_paretofind (x); +***** assert (isequal (ndpos, 1)); +***** assert (isequal (drank, [0; 1])); +***** shared x, ndpos, drank + x = [ ... + 3 2; ... + 2 2; ... + ]; +***** test [ndpos, drank] = stk_paretofind (x); +***** assert (isequal (ndpos, 2)); +***** assert (isequal (drank, [1; 0])); +***** shared x, ndpos, drank + x = [ ... + 1 0; ... + 2 0; ... + 0 2; ... + 2 2; ... + -1 3 ]; +***** test [ndpos, drank] = stk_paretofind (x); +***** assert (isequal (ndpos, [5; 3; 1])); +***** assert (isequal (drank, [0; 3; 0; 2; 0])); +***** shared x, ndpos, drank + x = [ ... + 1 0; ... + 2 0; ... + 0 2; ... + 2 2; ... + -1 3; ... + -1 4; ... + 2 2 ]; +***** test [ndpos, drank] = stk_paretofind (x); +***** assert (isequal (ndpos, [5; 3; 1])); +***** assert (isequal (drank, [0; 3; 0; 2; 0; 1; 2])); +12 tests, 12 passed, 0 known failure, 0 skipped +[inst/misc/dist/stk_filldist_discretized.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_filldist_discretized.m +***** error stk_filldist_discretized(0.0) % incorrect nb of arguments +***** error stk_filldist_discretized(0.0, []) % second arg is empty +***** error stk_filldist_discretized([], 0.0) % first arg is empty +***** test + d = 3; x = rand(7, d); y = rand(20, d); + fd1 = stk_filldist_discretized(x, y); + fd2 = stk_filldist_discretized(stk_dataframe(x), stk_dataframe(y)); + assert(stk_isequal_tolabs(fd1, fd2)); +***** test + n = 5; + for dim = 1:10, + x = rand(n, dim); + fd = stk_filldist_discretized(x, x); + assert(stk_isequal_tolabs(fd, 0.0)); + end +***** test + for dim = 1:10, + x = rand(1, dim); + y = rand(1, dim); + fd = stk_filldist_discretized(x, y); + assert(stk_isequal_tolabs(fd, norm(x - y))); + end +***** test + n = 4; + for dim = 2:10, + x = zeros(n, dim); + y = rand(1, dim); + fd = stk_filldist_discretized(x, y); + assert(stk_isequal_tolabs(fd, max(stk_dist(x, y)))); + end +***** test + for dim = [1 3 6], + x = 0.5 * ones(1, dim); + y = stk_sampling_regulargrid(2^dim, dim); % [0; 1]^d is the default box + fd = stk_filldist_discretized(x, y); + assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); + end +***** test + for dim = [1 3 7], + x = zeros(1, dim); + y = stk_sampling_regulargrid(3^dim, dim); + [fd, ymax] = stk_filldist_discretized(x, y); + assert(stk_isequal_tolabs(fd, sqrt(dim))); + assert(stk_isequal_tolabs(ymax, ones(1, dim))); + end +9 tests, 9 passed, 0 known failure, 0 skipped +[inst/misc/dist/stk_gpquadform.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_gpquadform.m +***** shared x, y, z, rx, ry, rz + x = rand(5, 2); rx = rand(5, 2) + 1; + y = rand(6, 2); ry = rand(6, 2) + 1; + z = rand(5, 3); rz = rand(5, 3) + 1; +***** error Q = stk_gpquadform(x, ry, y, ry) +***** error Q = stk_gpquadform(x, rz, y, ry) +***** error Q = stk_gpquadform(x, rx, y, rx) +***** error Q = stk_gpquadform(x, rx, y, rz) +***** error Q = stk_gpquadform(x, rx, z, ry) +***** shared x, y, z, rx, ry, rz + x = zeros (11, 5); rx = 1/sqrt(2) * ones (11, 5); + y = zeros (13, 5); ry = 1/sqrt(2) * ones (13, 5); + z = ones ( 7, 5); rz = 1/sqrt(2) * ones ( 7, 5); +***** test + Qx = stk_gpquadform(x, [], rx); + assert(isequal(Qx, zeros(11))); +***** test + Qxx = stk_gpquadform(x, x, rx, rx); + assert(isequal(Qxx, zeros(11))); +***** test + Qxy = stk_gpquadform(x, y, rx, ry); + assert(isequal(Qxy, zeros(11, 13))); +***** test + Qzz = stk_gpquadform(z, [], rz); + assert(isequal(Qzz, zeros(7))); +***** test + Qxz = stk_gpquadform(x, z, rx, rz); + assert(stk_isequal_tolabs(Qxz, 5 * ones(11, 7))); +***** test + x = randn(5, 3); rx = 1 + rand(5, 3); + y = randn(5, 3); ry = 1 + rand(5, 3); + Q1 = stk_gpquadform(x, y, rx, ry, true); % pairwise + Q2 = stk_gpquadform(x, y, rx, ry, false); + assert(isequal(size(Q1), [5 1])); + assert(isequal(size(Q2), [5 5])); + assert(stk_isequal_tolabs(Q1, diag(Q2))); +***** test + x = randn(5, 3); rx = 1 + rand(5, 3); + Q1 = stk_gpquadform(x, [], rx, [], true); % pairwise + assert(stk_isequal_tolabs(Q1, zeros(5, 1))); + Q1 = stk_gpquadform(x, x, rx, rx, true); % pairwise + assert(stk_isequal_tolabs(Q1, zeros(5, 1))); +***** shared x, y, z, rx, ry, rz + x = zeros (11, 5); rx = 2 * ones (11, 5); + y = zeros (13, 5); ry = 2 * ones (13, 5); + z = ones ( 7, 5); rz = 2 * ones ( 7, 5); +***** test + Qx = stk_gpquadform(x, [], rx); + assert(isequal(Qx, zeros(11))); +***** test + Qxx = stk_gpquadform(x, x, rx, rx); + assert(isequal(Qxx, zeros(11))); +***** test + Qxy = stk_gpquadform(x, y, rx, ry); + assert(isequal(Qxy, zeros(11, 13))); +***** test + Qzz = stk_gpquadform(z, [], rz); + assert(isequal(Qzz, zeros(7))); +***** test + Qxz = stk_gpquadform(x, z, rx, rz); + assert(stk_isequal_tolabs(Qxz, 5/8 * ones(11, 7))); +17 tests, 17 passed, 0 known failure, 0 skipped +[inst/misc/dist/stk_filldist.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_filldist.m +***** test %%% exact + d = 3; x = rand(7, d); box = repmat([0; 1], 1, d); + fd1 = stk_filldist(x, box); + fd2 = stk_filldist(stk_dataframe(x), stk_dataframe(box)); + assert(stk_isequal_tolabs(fd1, fd2)); +***** test %%% discretized + d = 3; x = rand(7, d); y = rand(20, d); + fd1 = stk_filldist(x, y); + fd2 = stk_filldist(stk_dataframe(x), stk_dataframe(y)); + assert(stk_isequal_tolabs(fd1, fd2)); +***** test + n = 5; % must be bigger than 2 + for dim = 1:10, + x = rand(n, dim); + fd = stk_filldist(x, x); + assert(stk_isequal_tolabs(fd, 0.0)); + end +***** test %%% exact + for dim = 1:6, + x = 0.5 * ones(1, dim); + fd = stk_filldist(x); % [0; 1]^d is the default box + assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); + end +***** test %%% discretized + for dim = 1:6, + x = 0.5 * ones(1, dim); + y = stk_sampling_regulargrid(2^dim, dim); % [0; 1]^d is the default box + fd = stk_filldist(x, y); + assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); + end +***** test + for dim = [1 3 7], + box = repmat([1; 2], 1, dim); + x = 1 + 0.5 * ones(1, dim); + fd = stk_filldist(x, box); + assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); + end +***** test + dim = 3; + box = repmat([-1; 1], 1, dim); + x = stk_sampling_randunif(20, dim, box); + y = stk_sampling_regulargrid(3^dim, dim, box); + fd1 = stk_filldist(x, box); + fd2 = stk_filldist(x, y); + assert(fd1 >= fd2 - 10 * eps); +***** test %%% exact + for dim = [1 3 7], + x = zeros(1, dim); + [fd, ymax] = stk_filldist_exact(x); + assert(stk_isequal_tolabs(fd, sqrt(dim))); + assert(stk_isequal_tolabs(ymax, ones(1, dim))); + end +***** test %%% discretized + for dim = [1 3 7], + x = zeros(1, dim); + y = stk_sampling_regulargrid(3^dim, dim); + [fd, ymax] = stk_filldist(x, y); + assert(stk_isequal_tolabs(fd, sqrt(dim))); + assert(stk_isequal_tolabs(ymax, ones(1, dim))); + end +9 tests, 9 passed, 0 known failure, 0 skipped +[inst/misc/dist/stk_dist.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_dist.m +***** error stk_dist(); +***** error stk_dist(0, 0, 0); +***** error stk_dist(0, 0, 0, 0); +***** error stk_dist(0, ones(1, 2)); +***** error stk_dist(eye(3), ones(1, 2)); +***** error stk_dist(ones(2, 1), zeros(2)); +***** shared x, y, z + x = zeros(11, 5); + y = zeros(13, 5); + z = ones(7, 5); +***** test + Dx = stk_dist(x); + assert(isequal(Dx, zeros(11))); +***** test + Dxx = stk_dist(x, x); + assert(isequal(Dxx, zeros(11))); +***** test + Dxy = stk_dist(x, y); + assert(isequal(Dxy, zeros(11, 13))); +***** test + Dzz = stk_dist(z, z); + assert(isequal(Dzz, zeros(7))); +***** test + Dxz = stk_dist(x, z); + assert(stk_isequal_tolabs(Dxz, sqrt(5)*ones(11, 7))); +***** test + x = randn(5,3); + y = randn(5,3); + D1 = stk_dist(x, y, true); % pairwise + D2 = stk_dist(x, y); + assert(stk_isequal_tolabs(D1, diag(D2))); +***** test + x = randn(5,3); + D1 = stk_dist(x, [], true); % pairwise + assert(stk_isequal_tolabs(D1, zeros(5, 1))); + D1 = stk_dist(x, x, true); % pairwise + assert(stk_isequal_tolabs(D1, zeros(5, 1))); +13 tests, 13 passed, 0 known failure, 0 skipped +[inst/misc/dist/stk_mindist.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_mindist.m +***** test + d = 3; x = rand(7, d); + md1 = stk_mindist(x); + md2 = stk_mindist(stk_dataframe(x)); + assert(stk_isequal_tolabs(md1, md2)); +***** test + for nc = [0 5 10], + x = zeros(0, nc); + d = stk_mindist(x); + assert(isempty(d)); + end +***** test + for nc = [0 5 10], + x = rand(1, nc); + d = stk_mindist(x); + assert(isempty(d)); + end +***** test + for nr = [2 5 10], + x = zeros(nr, 0); + d = stk_mindist(x); + assert(isequal(d, 0.0)); + end +***** test + + nrep = 20; + TOL_REL = 1e-15; + + for irep = 1:nrep, + + n = 2 + floor(rand * 10); + d = 1 + floor(rand * 10); + x = rand(n, d); + z = stk_mindist(x); + + assert(isequal(size(d), [1, 1])); + assert(~isnan(d)); + assert(~isinf(d)); + + % check the result + mindist = Inf; + for i = 1:(n-1), + for j = (i+1):n, + mindist = min(mindist, norm(x(i,:) - x(j,:))); + end + end + assert(abs(z - mindist) <= TOL_REL * mindist); + + end +5 tests, 5 passed, 0 known failure, 0 skipped +[inst/misc/dist/stk_filldist_exact.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_filldist_exact.m +***** test + d = 3; x = rand(7, d); box = repmat([0; 1], 1, d); + fd1 = stk_filldist_exact(x, box); + fd2 = stk_filldist_exact(stk_dataframe(x), stk_dataframe(box)); + assert(stk_isequal_tolabs(fd1, fd2)); +***** test + for dim = 1:6, + x = 0.5 * ones(1, dim); + fd = stk_filldist_exact(x); % [0; 1]^d is the default box + assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); + end +***** test + for dim = [1 3 7], + box = repmat([1; 2], 1, dim); + x = 1 + 0.5 * ones(1, dim); + fd = stk_filldist_exact(x, box); + assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); + end +***** test + for dim = [1 3 7], + x = zeros(1, dim); + [fd, ymax] = stk_filldist_exact(x); + assert(stk_isequal_tolabs(fd, sqrt(dim))); + assert(stk_isequal_tolabs(ymax, ones(1, dim))); + end +4 tests, 4 passed, 0 known failure, 0 skipped +[inst/misc/test/stk_isequal_tolabs.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/test/stk_isequal_tolabs.m +***** shared r1, r2, a, b, tolabs + a = 1.01; b = 1.02; tolabs = 0.1; +***** error rr = stk_isequal_tolabs(); +***** error rr = stk_isequal_tolabs(a); +***** test r1 = stk_isequal_tolabs(a, b); +***** test r2 = stk_isequal_tolabs(a, b, tolabs); +***** test assert(~r1); +***** test assert(r2); +***** test + a = struct('u', []); b = struct('v', []); + assert(~ stk_isequal_tolabs(a, b)) +***** test + a = struct('u', 1.01); b = struct('u', 1.02); + assert(stk_isequal_tolabs(a, b, tolabs)) +8 tests, 8 passed, 0 known failure, 0 skipped +[inst/misc/test/stk_isequal_tolrel.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/test/stk_isequal_tolrel.m +***** shared r1, r2, r3, a, b, tolrel + a = 1.01; b = 1.02; tolrel = 0.1; +***** error rr = stk_isequal_tolrel(); +***** error rr = stk_isequal_tolrel(a); +***** test r1 = stk_isequal_tolrel(a, b); +***** test r2 = stk_isequal_tolrel(a, b, tolrel); +***** test r3 = stk_isequal_tolrel(a, [b b]); +***** test assert (isequal (r1, false)); +***** test assert (isequal (r2, true)); +***** test assert (isequal (r3, false)); +***** test + a = struct('u', []); b = struct('v', []); + assert(~ stk_isequal_tolrel(a, b)) +***** test + a = struct('u', 1.01); b = struct('u', 1.02); + assert(stk_isequal_tolrel(a, b, tolrel)) +10 tests, 10 passed, 0 known failure, 0 skipped +[inst/misc/test/stk_test.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/test/stk_test.m +***** assert(isempty([])) % support for test assert shorthand +***** assert((1 + 1) == 2) +***** test a=1; +***** test assert(~exist('a')); +***** shared a % create a shared variable +***** test a = 3; % assign to a shared variable +***** test assert(a == 3); % variable should equal 3 in this second 'test' block +***** shared b, c % replace shared variables {'a'} --> {'b', 'c'} +***** test assert(~exist('a')); % a no longer exists +***** test assert(isempty(b)); % variables start off empty +***** shared a % recreate a shared variable that had been deleted +***** test assert (isempty(a)); % it is empty, even though it was equal to 3 before +***** shared a, b, c % creates three shared variables + a = 1; b = 2; c = 3; % give values to all variables, in the same block +***** assert(isequal([a, b, c], [1, 2, 3])); % test all of them together +***** test c=6; % update a value +***** test % show that the update sticks between blocks + assert(isequal([a, b, c], [1, 2, 6])); +***** shared % clear all shared variables +***** assert(~exist('a')) % show that they are cleared +***** error test % not enough input arguments +***** error test(1, 2, 3, 4) % too many input args +***** error garbage % usage on nonexistent function should be +***** error stt_test('test', 'bogus'); % undefined function error +***** error stk_test('test', 'bogus'); % error raised by stk_test itself +***** error stk_test(); +***** error stk_test('disp', 'verbose', [], 'extra arg !!!'); +***** error stk_test([]) +***** error stk_test(0.0) +***** error stk_test('stk_mindist', 0.0) +***** error stk_test('stk_mindist', 'dudule') +24 tests, 24 passed, 0 known failure, 0 skipped +[inst/misc/parallel/@stk_parallel_engine_none/stk_parallel_engine_none.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/parallel/@stk_parallel_engine_none/stk_parallel_engine_none.m +***** test stk_test_class ('stk_parallel_engine_none') +1 test, 1 passed, 0 known failure, 0 skipped +[inst/misc/optim/@stk_optim_fminsearch/stk_optim_fminsearch.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_fminsearch/stk_optim_fminsearch.m +***** test stk_test_class ('stk_optim_fminsearch') +1 test, 1 passed, 0 known failure, 0 skipped +[inst/misc/optim/@stk_optim_fmincon/stk_optim_fmincon.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_fmincon/stk_optim_fmincon.m +***** test stk_test_class ('stk_optim_fmincon') +1 test, 1 passed, 0 known failure, 0 skipped +[inst/misc/optim/@stk_optim_optimizer_/stk_optim_optimizer_.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_optimizer_/stk_optim_optimizer_.m +***** test stk_test_class ('stk_optim_optimizer_') +1 test, 1 passed, 0 known failure, 0 skipped +[inst/misc/optim/@stk_optim_octavesqp/stk_optim_octavesqp.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_octavesqp/stk_optim_octavesqp.m +***** test stk_test_class ('stk_optim_octavesqp') +1 test, 1 passed, 0 known failure, 0 skipped +[inst/misc/optim/stk_optim_testmin_unc.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_optim_testmin_unc.m +***** shared algo + algo = stk_options_get ('stk_param_estim', 'minimize_unc'); +***** error b = stk_optim_testmin_unc (); +***** assert (stk_optim_testmin_unc (algo)); +***** assert (~ stk_optim_testmin_unc ('dudule')); +3 tests, 3 passed, 0 known failure, 0 skipped +[inst/misc/optim/stk_minimize_unconstrained.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_minimize_unconstrained.m +***** test % Call fminsearch using function name + if stk_optim_isavailable ('fminsearch') + assert (stk_optim_testmin_unc ('fminsearch')); + end +***** test % Call fminsearch directly, using algorithm object + if stk_optim_isavailable ('fminsearch') + algo = stk_optim_fminsearch ('TolX', 1e-12, 'TolFun', 1e-12); + assert (stk_optim_testmin_unc (algo)); + end +***** test % Call sqp using function name + if stk_optim_isavailable ('octavesqp') + assert (stk_optim_testmin_unc ('octavesqp')); + end +***** test % Call sqp directly, using algorithm object + if stk_optim_isavailable ('octavesqp') + algo = stk_optim_octavesqp (); + assert (stk_optim_testmin_unc (algo)); + end +***** error assert (stk_optim_testmin_unc ('InexistentOptimizer')); +***** error assert (stk_optim_testmin_unc (100)); +6 tests, 6 passed, 0 known failure, 0 skipped +[inst/misc/optim/stk_optim_testmin_box.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_optim_testmin_box.m +***** shared algo + algo = stk_options_get ('stk_param_estim', 'minimize_box'); +***** error b = stk_optim_testmin_box (); +***** assert (stk_optim_testmin_box (algo)); +***** assert (~ stk_optim_testmin_box ('dudule')); +3 tests, 3 passed, 0 known failure, 0 skipped +[inst/misc/optim/stk_minimize_boxconstrained.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_minimize_boxconstrained.m +***** test % Call fmincon using function name + if stk_optim_isavailable ('fmincon') + assert (stk_optim_testmin_box ('fmincon')); + end +***** test % Call fmincon directly, using algorithm object + if stk_optim_isavailable ('fmincon') + algo = stk_optim_fmincon ('TolX', 1e-12, 'TolFun', 1e-12); + assert (stk_optim_testmin_box (algo)); + end +***** test % Call sqp using function name + if stk_optim_isavailable ('octavesqp') + assert (stk_optim_testmin_box ('octavesqp')); + end +***** test % Call sqp directly, using algorithm object + if stk_optim_isavailable ('octavesqp') + algo = stk_optim_octavesqp (); + assert (stk_optim_testmin_box (algo)); + end +***** error assert (stk_optim_testmin_box ('InexistentOptimizer')); +***** error assert (stk_optim_testmin_box (100)); +6 tests, 6 passed, 0 known failure, 0 skipped +[inst/misc/design/stk_maxabscorr.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/design/stk_maxabscorr.m +***** assert (stk_isequal_tolabs (0.0, ... % Test on an OLHS(5) + stk_maxabscorr ([0.4 0.8 0 -0.4 -0.8; -0.8 0.4 0 0.8 -0.4]'))); +1 test, 1 passed, 0 known failure, 0 skipped +[inst/misc/design/stk_phipcrit.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/design/stk_phipcrit.m +***** shared x + x = [0, 0.2, 0.4, 0.6, 0.8, 1.0; + 0, 0.6, 0.8, 1.0, 0.2, 0.4]'; +***** assert (stk_isequal_tolabs ... + (stk_phipcrit (x, 10), 3.946317664423303, 1e-15)) +***** assert (stk_isequal_tolabs ... + (stk_phipcrit (x, 50), 3.614077252813102, 1e-15)); +***** assert (stk_isequal_tolabs ... + (stk_phipcrit (x, 100), 3.574589859827413, 1e-15)); +***** assert (stk_isequal_tolabs ... + (stk_phipcrit (x, 1e9), 1 / stk_mindist (x), 1e-8)); +***** assert (isequal (stk_phipcrit (ones (2)), Inf)); +5 tests, 5 passed, 0 known failure, 0 skipped +[inst/misc/distrib/stk_distrib_normal_ei.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_ei.m +***** assert (stk_isequal_tolrel (stk_distrib_normal_ei (0.0), 1 / sqrt (2 * pi), eps)) +***** test % Decreasing as a function of z + ei = stk_distrib_normal_ei (linspace (-10, 10, 200)); + assert (all (diff (ei) < 0)) +***** shared M, mu, sigma, ei + M = randn (1, 10); + mu = randn (5, 1); + sigma = 1 + rand (1, 1, 7); + ei = stk_distrib_normal_ei (M, mu, sigma); +***** assert (isequal (size (ei), [5, 10, 7])) +***** assert (all (ei(:) >= 0)) +***** assert (isequal (ei, stk_distrib_normal_ei (M, mu, sigma, false))); +***** assert (isequal (ei, stk_distrib_normal_ei (-M, -mu, sigma, true))); +6 tests, 6 passed, 0 known failure, 0 skipped +[inst/misc/distrib/stk_distrib_student_pdf.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_student_pdf.m +***** assert (stk_isequal_tolrel ( ... + stk_distrib_student_pdf ([1; 3], [1; 2], [0 1], [1 10]), ... + [0.50 / pi ... % tpdf ((1 - 1) / 10, 1) + 0.10 / pi; ... % tpdf ((1 - 1) / 10, 1) / 10 + 1 / (11 * sqrt(11)) ... % tpdf ((3 - 0) / 1, 2) / 1 + 3.4320590294804165e-02 ... % tpdf ((3 - 1) / 10, 2) / 10 + ], eps)); +***** assert (isequal (stk_distrib_student_pdf ( inf, 1.0), 0.0)); +***** assert (isequal (stk_distrib_student_pdf (-inf, 1.0), 0.0)); +***** assert (isnan (stk_distrib_student_pdf ( nan, 1.0))); +4 tests, 4 passed, 0 known failure, 0 skipped +[inst/misc/distrib/stk_distrib_normal_pdf.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_pdf.m +***** assert (stk_isequal_tolrel (stk_distrib_normal_pdf ([1; 3], 1, [1 10]), ... + [1 / sqrt(2 * pi) ... % normpdf ((1 - 1) / 1) + 0.1 / sqrt(2 * pi); ... % normpdf ((1 - 1) / 10) / 10 + exp(-2) / sqrt(2 * pi) ... % normpdf ((3 - 1) / 1) + 3.910426939754558780e-2 ... % normpdf ((3 - 1) / 10) / 10 + ], eps)); +***** assert (isequal (stk_distrib_normal_pdf (inf), 0.0)); +***** assert (isequal (stk_distrib_normal_pdf (-inf), 0.0)); +***** assert (isnan (stk_distrib_normal_pdf (nan))); +***** assert (isnan (stk_distrib_normal_pdf (0, 0, -1))); +5 tests, 5 passed, 0 known failure, 0 skipped +[inst/misc/distrib/stk_distrib_normal_cdf.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_cdf.m +***** assert (stk_isequal_tolrel (stk_distrib_normal_cdf ([1; 3], 1, [1 10]), ... + [0.5, ... % normcdf ((1 - 1) / 1) + 0.5; ... % normcdf ((1 - 1) / 10) + 0.5 * erfc(-sqrt(2)), ... % normcdf ((3 - 1) / 1) + 0.5 * erfc(-0.1*sqrt(2)) ... % normcdf ((3 - 1) / 10) + ], eps)); +***** test + [p, q] = stk_distrib_normal_cdf (10); + assert (isequal (p, 1.0)); + assert (stk_isequal_tolrel (q, 7.6198530241604975e-24, eps)); +***** assert (isequal (stk_distrib_normal_cdf ( 0.0), 0.5)); +***** assert (isequal (stk_distrib_normal_cdf ( inf), 1.0)); +***** assert (isequal (stk_distrib_normal_cdf (-inf), 0.0)); +***** assert (isnan (stk_distrib_normal_cdf ( nan))); +***** assert (isnan (stk_distrib_normal_cdf (0, 0, -1))); +***** assert (isequal (stk_distrib_normal_cdf (0, 0, 0), 1.0)); +***** assert (isequal (stk_distrib_normal_cdf (0, 1, 0), 0.0)); +***** assert (isequal (stk_distrib_normal_cdf (1, 0, 0), 1.0)); +10 tests, 10 passed, 0 known failure, 0 skipped +[inst/misc/distrib/stk_distrib_student_ei.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_student_ei.m +***** assert (stk_isequal_tolrel (stk_distrib_student_ei (0, 2), 1 / sqrt (2), eps)) +***** test % Decreasing as a function of z + ei = stk_distrib_student_ei (linspace (-10, 10, 200), 3.33); + assert (all (diff (ei) < 0)) +***** shared M, mu, sigma, ei, nu + M = randn (1, 10); + mu = randn (5, 1); + sigma = 1 + rand (1, 1, 7); + nu = 2; + ei = stk_distrib_student_ei (M, nu, mu, sigma); +***** assert (isequal (size (ei), [5, 10, 7])) +***** assert (all (ei(:) >= 0)) +***** assert (isequal (ei, stk_distrib_student_ei (M, nu, mu, sigma, false))); +***** assert (isequal (ei, stk_distrib_student_ei (-M, nu, -mu, sigma, true))); +6 tests, 6 passed, 0 known failure, 0 skipped +[inst/misc/distrib/stk_distrib_normal_crps.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_crps.m +***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (0.0, 0.0, 0.0), 0.0)) +***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (0.0, 0.0, 1.0), (sqrt(2) - 1)/sqrt(pi))) +***** shared n, x_obs, mu, sigma, crps, crps_exp + x_obs = [ 1.78; -2.29; -1.62; -5.89; 2.88; 0.65; 2.74; -3.42]; % observations + mu = [-0.31; -0.59; 1.48; -1.57; -0.05; -0.27; 1.05; 1.27]; % predictions + sigma = [ 2.76; 6.80; 1.63; 1.19; 4.98; 9.60; 5.85; 2.24]; % standard dev + n = size(x_obs, 1); + crps = stk_distrib_normal_crps (x_obs, mu, sigma); +***** assert (isequal (size (crps), [n, 1])) +***** assert (all (crps >= 0)) +***** assert (stk_isequal_tolabs (crps, stk_distrib_normal_crps(mu, x_obs, sigma))) +***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (x_obs, mu, 0), abs (x_obs - mu))) + crps_ref = [ ... + 1.247856605928301 ... + 1.757798727719891 ... + 2.216236225997414 ... + 3.648696666764968 ... + 1.832355265287495 ... + 2.278618297947438 ... + 1.560544734359158 ... + 3.455697443411153 ]; + assert (stk_isequal_tolabs (crps, crps_ref, 1e-10)); +6 tests, 6 passed, 0 known failure, 0 skipped +[inst/misc/distrib/stk_distrib_bivnorm_cdf.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_bivnorm_cdf.m +***** test + + z1 = [0 1; -1 2]; + z2 = [0 1; 1 -2]; + + z = cat (3, z1, z2); % 2 x 2 x 2 + + mu1 = 0; % 1 x 1 x 1 + mu2 = [0 1]; % 1 x 2 x 1 + + sigma1 = [1 3]; % 1 x 2 x 1 + sigma2 = [1; 2]; % 2 x 1 x 1 + + rho = [0; 0.5]; % 2 x 1 x 1 + + %% BROADCASTING => the result will be a 2 x 2 matrix + + p = stk_distrib_bivnorm_cdf (z, mu1, mu2, sigma1, sigma2, rho); + + p11 = 0.25; % mvncdf ([ 0 0], [0 0], [1 0; 0 1]); + p12 = 0.315279329909118; % mvncdf ([ 1 1], [0 1], [9 0; 0 1]); + p21 = 0.146208349559646; % mvncdf ([-1 1], [0 0], [1 1; 1 4]); + p22 = 0.064656239880040; % mvncdf ([ 2 -2], [0 1], [9 3; 3 4]); + + assert (stk_isequal_tolabs (p, [p11 p12; p21 p22], 1e-14)) +***** test + [p, q] = stk_distrib_bivnorm_cdf ([inf -inf], 0, 0, 1, 1, 0); + assert ((p == 0.0) && (q == 1.0)) +***** test + [p, q] = stk_distrib_bivnorm_cdf ([inf -10], 0, 0, 1, 1, 0); + assert (stk_isequal_tolrel (p, 7.619853024160489e-24, 1e-12)) + assert (q == 1.0) +***** test + [p, q] = stk_distrib_bivnorm_cdf ([inf 0], 0, 0, 1, 1, 0); + assert (stk_isequal_tolrel (p, 0.5, 1e-12)) + assert (stk_isequal_tolrel (q, 0.5, 1e-12)) +***** test + [p, q] = stk_distrib_bivnorm_cdf ([inf 10], 0, 0, 1, 1, 0); + assert (p == 1.0); + assert (stk_isequal_tolrel (q, 7.619853024160489e-24, 1e-12)) +***** test + [p, q] = stk_distrib_bivnorm_cdf ([inf inf], 0, 0, 1, 1, 0); + assert ((p == 1.0) && (q == 0.0)) +***** test + [p, q] = stk_distrib_bivnorm_cdf ([-inf inf], 0, 0, 1, 1, 0); + assert ((p == 0.0) && (q == 1.0)) +***** test + [p, q] = stk_distrib_bivnorm_cdf ([-10 inf], 0, 0, 1, 1, 0); + assert (stk_isequal_tolrel (p, 7.619853024160489e-24, 1e-12)) + assert (q == 1.0) +***** test + [p, q] = stk_distrib_bivnorm_cdf ([0 inf], 0, 0, 1, 1, 0); + assert (stk_isequal_tolrel (p, 0.5, 1e-12)) + assert (stk_isequal_tolrel (q, 0.5, 1e-12)) +***** test + [p, q] = stk_distrib_bivnorm_cdf ([10 inf], 0, 0, 1, 1, 0); + assert (p == 1.0); + assert (stk_isequal_tolrel (q, 7.619853024160489e-24, 1e-12)) +***** test + [p, q] = stk_distrib_bivnorm_cdf ([inf inf], 0, 0, 1, 1, 0); + assert ((p == 1.0) && (q == 0.0)) +***** test % A mixture of singular and non-singular cases + p = stk_distrib_bivnorm_cdf ([0 0], 0, 0, [1; 0], 1, 0); + assert (isequal (p, [0.25; 0.5])); +12 tests, 12 passed, 0 known failure, 0 skipped +[inst/misc/distrib/stk_distrib_student_cdf.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_student_cdf.m +***** assert (stk_isequal_tolrel ( ... + stk_distrib_student_cdf ([-1; 0; 1], [1 2], 0, [1 10]), ... + [0.25, ... % tcdf ((-1 - 0)/1, 1) + 4.6473271920707004e-01; ... % tcdf ((-1 - 0)/10, 2) + 0.50, ... % tcdf (( 0 - 0)/1, 1) + 0.50; ... % tcdf (( 0 - 0)/10, 2) + 0.75, ... % tcdf (( 1 - 0)/1, 1) + 5.3526728079292996e-01 ... % tcdf (( 1 - 0)/10, 2) + ], 4 * eps)) +***** test + [p, q] = stk_distrib_student_cdf (1e10, 2); + assert (isequal (p, 1.0)); + assert (stk_isequal_tolrel (q, 4.999999999999999999925e-21, 10 * eps)); +***** assert (isequal (stk_distrib_student_cdf (0.0, 1), 0.5)); +***** assert (isequal (stk_distrib_student_cdf (inf, 1), 1.0)); +***** assert (isequal (stk_distrib_student_cdf (-inf, 1), 0.0)); +***** assert (isnan (stk_distrib_student_cdf (nan, 1))); +6 tests, 6 passed, 0 known failure, 0 skipped +[inst/misc/error/stk_error.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/error/stk_error.m +***** shared errmsg, mnemonic, badstack + errmsg = 'Go ahead, make my day.'; + mnemonic = 'ClintEastwood'; + badstack = 0; % not a valid stack structure +***** error stk_error(errmsg, mnemonic); +***** error stk_error (errmsg, mnemonic, badstack); +***** error id=STK:stk_error:InvalidArgument stk_error (errmsg, mnemonic, badstack); +3 tests, 3 passed, 0 known failure, 0 skipped +[inst/misc/text/stk_sprintf_colvect.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_sprintf_colvect.m +***** shared s +***** test s = stk_sprintf_colvect ([1 1e1], 6); +***** assert (isequal (s, [' 1'; '10'])) +***** test s = stk_sprintf_colvect ([1 1e3], 6); +***** assert (isequal (s, [' 1'; '1000'])) +***** test s = stk_sprintf_colvect ([1 1e5], 6); +***** assert (isequal (s, [' 1'; '100000'])) +***** test s = stk_sprintf_colvect ([1 1e6], 6); +***** assert (isequal (s, ['1e+00'; '1e+06'])) +8 tests, 8 passed, 0 known failure, 0 skipped +[inst/misc/text/stk_disp_progress.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_disp_progress.m +***** error stk_disp_progress ('toto ', 0, 1); +***** test stk_disp_progress ('toto ', 1, 1); +warning: implicit conversion from numeric to char +warning: called from + stk_disp_progress at line 53 column 1 + __test__ at line 2 column 3 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 606 column 31 + +toto +***** error stk_disp_progress ('toto ', 2, 1); +***** test + stk_disp_progress ('toto ', 1, 2); + stk_disp_progress ('toto ', 2, 2); +warning: implicit conversion from numeric to char +warning: called from + stk_disp_progress at line 53 column 1 + __test__ at line 3 column 2 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 606 column 31 + +toto toto +4 tests, 4 passed, 0 known failure, 0 skipped +[inst/misc/text/stk_sprintf_colvect_scientific.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_sprintf_colvect_scientific.m +***** shared x, s + x = [1.2; -34567]; +***** test s = stk_sprintf_colvect_scientific(x, 1); +***** assert (isequal(s, ['#'; '#'])) +***** test s = stk_sprintf_colvect_scientific(x, 3); +***** assert (isequal(s, ['###'; '###'])) +***** test s = stk_sprintf_colvect_scientific(x, 5); +***** assert (isequal(s, ['#####'; '#####'])) +***** test s = stk_sprintf_colvect_scientific(x, 6); +***** assert (isequal(s, [' 1e+00'; '-3e+04'])) +***** test s = stk_sprintf_colvect_scientific(x, 7); +***** assert (isequal(s, [' 1e+00'; '-3e+04'])) +***** test s = stk_sprintf_colvect_scientific(x, 8); +***** assert (isequal(s, [' 1.2e+00'; '-3.5e+04'])) +***** test s = stk_sprintf_colvect_scientific(x, 9); +***** assert (isequal(s, [' 1.20e+00'; '-3.46e+04'])) +***** test s = stk_sprintf_colvect_scientific(x, 10); +***** assert (isequal(s, [' 1.200e+00'; '-3.457e+04'])) +***** test s = stk_sprintf_colvect_scientific(x, 11); +***** assert (isequal(s, [' 1.2000e+00'; '-3.4567e+04'])) +***** test s = stk_sprintf_colvect_scientific(x, 12); +***** assert (isequal(s, [' 1.2000e+00'; '-3.4567e+04'])) +***** shared x, s + x = [0.9; 0.91; 0.99; 0.999]; +***** test s = stk_sprintf_colvect_scientific (x, 4); +***** assert (isequal(s, ['####'; '####'; '####'; '####'])) +***** test s = stk_sprintf_colvect_scientific (x, 5); +***** assert (isequal(s, ['9e-01'; '9e-01'; '1e+00'; '1e+00'])) +***** test s = stk_sprintf_colvect_scientific (x, 6); +***** assert (isequal(s, ['9e-01'; '9e-01'; '1e+00'; '1e+00'])) +***** test s = stk_sprintf_colvect_scientific (x, 7); +***** assert (isequal(s, ['9.0e-01'; '9.1e-01'; '9.9e-01'; '1.0e+00'])) +***** test s = stk_sprintf_colvect_scientific (x, 8); +***** assert (isequal(s, ['9.00e-01'; '9.10e-01'; '9.90e-01'; '9.99e-01'])) +***** shared x, s + x = [0.9; -0.91; 0.99; 0.999]; +***** test s = stk_sprintf_colvect_scientific (x, 4); +***** assert (isequal(s, ['####'; '####'; '####'; '####'])) +***** test s = stk_sprintf_colvect_scientific (x, 5); +***** assert (isequal(s, ['#####'; '#####'; '#####'; '#####'])) +***** test s = stk_sprintf_colvect_scientific (x, 6); +***** assert (isequal(s, [' 9e-01'; '-9e-01'; ' 1e+00'; ' 1e+00'])) +***** test s = stk_sprintf_colvect_scientific (x, 7); +***** assert (isequal(s, [' 9e-01'; '-9e-01'; ' 1e+00'; ' 1e+00'])) +***** test s = stk_sprintf_colvect_scientific (x, 8); +***** assert (isequal(s, [' 9.0e-01'; '-9.1e-01'; ' 9.9e-01'; ' 1.0e+00'])) +***** test + x = [1e6; -1e10; 1e-221]; + s = stk_sprintf_colvect_scientific(x, 10); + assert(isequal(s, [' 1e+006'; '-1e+010'; ' 1e-221'])); +41 tests, 41 passed, 0 known failure, 0 skipped +[inst/misc/text/stk_sprintf_colvect_fixedpoint.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_sprintf_colvect_fixedpoint.m +***** shared x, s + x = [1.2; 3.48]; +***** test s = stk_sprintf_colvect_fixedpoint(x, 1); +***** assert (isequal(s, ['1'; '3'])) +***** test s = stk_sprintf_colvect_fixedpoint(x, 2); +***** assert (isequal(s, ['1'; '3'])) +***** test s = stk_sprintf_colvect_fixedpoint(x, 3); +***** assert (isequal(s, ['1.2'; '3.5'])) +***** test s = stk_sprintf_colvect_fixedpoint(x, 4); +***** assert (isequal(s, ['1.20'; '3.48'])) +***** test s = stk_sprintf_colvect_fixedpoint(x, 5); +***** assert (isequal(s, ['1.20'; '3.48'])) +***** shared x, s + x = [1.2; -3.48]; +***** test s = stk_sprintf_colvect_fixedpoint(x, 1); +***** assert (isequal(s, ['#'; '#'])) +***** test s = stk_sprintf_colvect_fixedpoint(x, 2); +***** assert (isequal(s, [' 1'; '-3'])) +***** test s = stk_sprintf_colvect_fixedpoint(x, 3); +***** assert (isequal(s, [' 1'; '-3'])) +***** test s = stk_sprintf_colvect_fixedpoint(x, 4); +***** assert (isequal(s, [' 1.2'; '-3.5'])) +***** test s = stk_sprintf_colvect_fixedpoint(x, 5); +***** assert (isequal(s, [' 1.20'; '-3.48'])) +***** test s = stk_sprintf_colvect_fixedpoint(x, 6); +***** assert (isequal(s, [' 1.20'; '-3.48'])) +***** shared x, s + x = [0.2; 0.48]; +***** test s = stk_sprintf_colvect_fixedpoint(x, 1); +***** assert (isequal(s, ['0'; '0'])) +***** test s = stk_sprintf_colvect_fixedpoint(x, 2); +***** assert (isequal(s, ['0'; '0'])) +***** test s = stk_sprintf_colvect_fixedpoint(x, 3); +***** assert (isequal(s, ['0.2'; '0.5'])) +***** test s = stk_sprintf_colvect_fixedpoint(x, 4); +***** assert (isequal(s, ['0.20'; '0.48'])) +***** test s = stk_sprintf_colvect_fixedpoint(x, 5); +***** assert (isequal(s, ['0.20'; '0.48'])) +32 tests, 32 passed, 0 known failure, 0 skipped +[inst/arrays/generic/stk_length.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_length.m +***** assert (isequal (stk_length ([1 2; 3 4; 5 6]), 3)); +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/generic/stk_feval.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_feval.m +***** shared f, xt + f = @(x)(- (0.7 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); + xt = stk_sampling_regulargrid (20, 1, [0; 1]); +***** error yt = stk_feval (); +***** error yt = stk_feval (f); +***** test yt = stk_feval (f, xt); +***** test yt = stk_feval (f, xt, false); +***** test yt = stk_feval (f, xt, false, false); +***** test yt = stk_feval (f, xt, false, false, false); +***** test + N = 15; + xt = stk_sampling_regulargrid (N, 1, [0; 1]); + yt = stk_feval (f, xt); + assert (isequal (size (yt), [N 1])); +***** test + x = stk_dataframe ([1; 2; 3], {'x'}, {'a'; 'b'; 'c'}); + y = stk_feval (@(u)(2 * u), x); + assert (isequal (y.data, [2; 4; 6])); + assert (isequal (y.rownames, {'a'; 'b'; 'c'})); +***** shared t, z_ref, n + n = 20; + t = stk_sampling_regulargrid (n, 1, [0; 2*pi]); + z_ref = [sin(t.data) cos(t.data)]; +***** test + t.colnames = {'time'}; + z = stk_feval ({@sin, @cos}, t); + assert (isa (z, 'stk_dataframe')); + assert (isequal (z.data, z_ref)); +***** test + F = @(x)([sin(x) cos(x)]); + z = stk_feval (F, t); + assert (isequal (z.data, z_ref)); +***** test + t = stk_sampling_regulargrid (n, 1, [0; 2*pi]); + F = {'sin', 'cos'}; + z = stk_feval (F, t); + assert (isequal (z.data, [sin(t.data) cos(t.data)])); + assert (isequal (z.colnames, {'sin' 'cos'})); +***** test % vectorized + F = @(t)([sin(t) cos(t)]); + G = @(t)(0.365 * t.^2 + (cos ((t - 1).*(t - 2) + 0.579033))); + z = stk_feval ({@sin, @cos, G, F, 'tan'}, t); + assert (isequal (z.colnames, {'sin' 'cos' 'F3' 'F4_1' 'F4_2' 'tan'})); +***** test % not vectorized + F = @(t)([sin(t) cos(t)]); + G = @(t)(0.365 * t^2 + (cos ((t - 1)*(t - 2) + 0.579033))); + z = stk_feval ({@sin, @cos, G, F, 'tan'}, t, [], [], false); + assert (isequal (z.colnames, {'sin' 'cos' 'F3' 'F4_1' 'F4_2' 'tan'})); +13 tests, 13 passed, 0 known failure, 0 skipped +[inst/arrays/generic/stk_rescale.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_rescale.m +***** shared x + x = rand (10, 4); + y = stk_rescale (x, [], []); + assert (stk_isequal_tolabs (x, y)); +***** test + y = stk_rescale(0.5, [], [0; 2]); + assert (stk_isequal_tolabs (y, 1.0)); +***** test + y = stk_rescale (0.5, [0; 1], [0; 2]); + assert (stk_isequal_tolabs (y, 1.0)); +***** test + y = stk_rescale (0.5, [0; 2], []); + assert (stk_isequal_tolabs (y, 0.25)); +***** test + y = stk_rescale (0.5, [0; 2], [0; 1]); + assert (stk_isequal_tolabs (y, 0.25)); +4 tests, 4 passed, 0 known failure, 0 skipped +[inst/arrays/generic/stk_get_sample_size.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_get_sample_size.m +***** assert (stk_get_sample_size ([1 2; 3 4; 5 6]) == 3); +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/generic/stk_normalize.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_normalize.m +***** shared x, box, y1, y2, y3, y4 + n = 5; box = [2; 3]; x = box(1) + diff (box) * rand (n, 1); +***** error y1 = stk_normalize (); +***** test y2 = stk_normalize (x); +***** test y3 = stk_normalize (x, box); +***** test assert (~ any ((y2 < -10 * eps) | (y2 > 1 + 10 * eps))); +***** test assert (~ any ((y3 < -10 * eps) | (y3 > 1 + 10 * eps))); +5 tests, 5 passed, 0 known failure, 0 skipped +[inst/arrays/generic/stk_boundingbox.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_boundingbox.m +***** shared x, y, cn + cn = {'a', 'b', 'c'}; + x = [0 3 2; 1 4 1; 7 0 2]; +***** error y = stk_boundingbox (); +***** test y = stk_boundingbox (x); +***** assert (isequal (y.data, [0 0 1; 7 4 2])); +3 tests, 3 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_factorialdesign/fieldnames.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/fieldnames.m +***** test + x = stk_factorialdesign ({0:1, 3:5}, {'u' 'v'}); + fn1 = sort (fieldnames (x)); + fn2 = {'colnames'; 'data'; 'info'; 'levels'; ... + 'rownames'; 'sample_size'; 'stk_dataframe'; 'u'; 'v'}; + assert (isequal (fn1, fn2)); +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_factorialdesign/uminus.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/uminus.m +***** test x = stk_factorialdesign ({1:3, 1:2}); - y = stk_dataframe (x, {}, pi); + y = stk_factorialdesign ({-(1:3), -(1:2)}); + assert (isequal (-x, y)) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_factorialdesign/ndgrid.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/ndgrid.m +***** shared data + data = stk_factorialdesign ({[0 1], [5 6 7]}); +***** test % nargout = 0 + ndgrid (data); + assert (isequal (ans, [0 0 0; 1 1 1])); +***** test % nargout = 1 + x = ndgrid (data); + assert (isequal (x, [0 0 0; 1 1 1])); +***** test % nargout = 2 + [x, y] = ndgrid (data); + assert (isequal ({x, y}, {[0 0 0; 1 1 1], [5 6 7; 5 6 7]})); +***** error % nargout = 3 + [x, y, z] = ndgrid (data); ***** test - x = stk_dataframe ([], {'a', 'b'}); - assert (isequal (size (x), [0 2])) - assert (isequal (x.colnames, {'a' 'b'})); - assert (isequal (x.rownames, {})); + data = stk_factorialdesign ({[], []}); + [x, y] = ndgrid (data); + assert (isequal ({x, y}, {[], []})); ***** test - x = stk_dataframe ([], {'a', 'b'}, {'toto'}); - assert (isequal (size (x), [1 2])) - assert (isequal (x.colnames, {'a' 'b'})); - assert (isequal (x.rownames, {'toto'})); + data = stk_factorialdesign ({[1:3]}); + x = ndgrid (data); + assert (isequal (x, [1; 2; 3])); +6 tests, 6 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_factorialdesign/stk_rescale.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_rescale.m +***** test + x = stk_factorialdesign ({[1 2], [5 6]}); + y = stk_factorialdesign ({[0 3], [0 3]}); + z = stk_rescale (x, [1 5; 2 6], [0 0; 3 3]); + assert (stk_isequal_tolabs (y, z)) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_factorialdesign/stk_factorialdesign.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_factorialdesign.m +***** test stk_test_class ('stk_factorialdesign') +***** test % constructor with two factors + column names + x = stk_factorialdesign ({[0 1], [1 2 3]}, {'a', 'b'}); + assert (isequal(x.colnames, {'a', 'b'})); + assert (isequal(get (x, 'colnames'), {'a', 'b'})); +***** error stk_factorialdesign ('bouh'); +***** error stk_factorialdesign ({{'a' 'b'}}); +***** shared x, fmt + fmt = stk_disp_getformat (); + x = stk_sampling_regulargrid (3^2, 2); +***** test format rat; disp (x); + : --- --- + * : 0.0 0.0 + * : 0.5 0.0 + * : 1.0 0.0 + * : 0.0 0.5 + * : 0.5 0.5 + * : 1.0 0.5 + * : 0.0 1.0 + * : 0.5 1.0 + * : 1.0 1.0 +***** test format long; disp (x); + : --- --- + * : 0.0 0.0 + * : 0.5 0.0 + * : 1.0 0.0 + * : 0.0 0.5 + * : 0.5 0.5 + * : 1.0 0.5 + * : 0.0 1.0 + * : 0.5 1.0 + * : 1.0 1.0 +***** test format short; disp (x); format (fmt); + : --- --- + * : 0.0 0.0 + * : 0.5 0.0 + * : 1.0 0.0 + * : 0.0 0.5 + * : 0.5 0.5 + * : 1.0 0.5 + * : 0.0 1.0 + * : 0.5 1.0 + * : 1.0 1.0 +***** test disp (stk_sampling_regulargrid (0^1, 1)); + Empty data frame with 0 rows and 0 columns +***** test disp (stk_sampling_regulargrid (0^2, 2)); + Empty data frame with 0 rows and 0 columns +***** test display (x); + +x = <9x2 stk_factorialdesign array> + + : --- --- + * : 0.0 0.0 + * : 0.5 0.0 + * : 1.0 0.0 + * : 0.0 0.5 + * : 0.5 0.5 + * : 1.0 0.5 + * : 0.0 1.0 + * : 0.5 1.0 + * : 1.0 1.0 + +***** error length (stk_sampling_regulargrid (7^2, 2)) % not defined +***** shared x + x = stk_factorialdesign ({[0 1], [0 1]}); +***** assert (isequal (x(2:end, :), x(2:4, :))) +***** assert (isequal (x(2, 1:end), x(2, :))) +***** assert (isequal (x(2:end, 2:end), x(2:4, 2))) +***** error x(1:end, 1:end, 1:end) +***** shared x, y + x = stk_sampling_regulargrid (3^2, 2); + y = x; +***** test %%%% vercat + z = vertcat (x, y); + assert (strcmp (class (z), 'stk_dataframe')); + assert (isequal (double (z), [double(x); double(y)])); +***** test %%%% same thing, using cat(1, ...) + z = cat (1, x, y); + assert (strcmp (class (z), 'stk_dataframe')); + assert (isequal (double (z), [double(x); double(y)])); +***** test %%%% horzcat + y.colnames = {'y1' 'y2'}; z = horzcat (x, y); + assert (strcmp (class (z), 'stk_dataframe')); + assert (isequal (double (z), [double(x) double(y)])); +***** test %%%% same thing, using cat (2, ...) + z = cat (2, x, y); + assert (strcmp (class (z), 'stk_dataframe')); + assert (isequal (double (z), [double(x) double(y)])); +***** error cat (3, x, y) +***** shared x, t + x = stk_sampling_regulargrid (3^2, 2); + t = double (x); +***** assert (isequal (apply (x, 1, @sum), sum (t, 1))) +***** assert (isequal (apply (x, 2, @sum), sum (t, 2))) +***** error u = apply (x, 3, @sum); +***** assert (isequal (apply (x, 1, @min, []), min (t, [], 1))) +***** assert (isequal (apply (x, 2, @min, []), min (t, [], 2))) +***** error u = apply (x, 3, @min, []); +***** assert (isequal (min (x), min (t))) +***** assert (isequal (max (x), max (t))) +***** assert (isequal (std (x), std (t))) +***** assert (isequal (var (x), var (t))) +***** assert (isequal (sum (x), sum (t))) +***** assert (isequal (mean (x), mean (t))) +***** assert (isequal (mode (x), mode (t))) +***** assert (isequal (prod (x), prod (t))) +***** assert (isequal (median (x), median (t))) +***** shared x1, x2, x3, u1, u2, u3 + x1 = stk_sampling_regulargrid ([4 3], 2); u1 = double (x1); + x2 = stk_sampling_regulargrid ([3 4], 2); u2 = double (x2); + x3 = x1 + 1; u3 = u1 + 1; +***** test + z = bsxfun (@plus, x1, u2); + assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) +***** test + z = bsxfun (@plus, u1, x2); + assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) +***** test + z = bsxfun (@plus, x1, x2); + assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) +***** test z = min (x1, x2); assert (isequal (double (z), min (u1, u2))); +***** test z = max (x1, x2); assert (isequal (double (z), max (u1, u2))); +***** error z = min (x1, x2, 1); +***** error z = max (x1, x2, 1); +***** test z = x1 + x2; assert (isequal (double (z), u1 + u2)); +***** test z = x1 - x2; assert (isequal (double (z), u1 - u2)); +***** test z = x1 .* x2; assert (isequal (double (z), u1 .* u2)); +***** test z = x3 .\ x2; assert (isequal (double (z), u3 .\ u2)); +***** test z = x2 ./ x3; assert (isequal (double (z), u2 ./ u3)); +***** test z = x3 .^ x2; assert (isequal (double (z), u3 .^ u2)); +***** test z = realpow (x3, x2); assert (isequal (double (z), realpow (u3, u2))); +***** test z = (x1 == x2); assert (isequal (double (z), (u1 == u2))); +***** test z = (x1 ~= x2); assert (isequal (double (z), (u1 ~= u2))); +***** test z = (x1 <= x2); assert (isequal (double (z), (u1 <= u2))); +***** test z = (x1 >= x2); assert (isequal (double (z), (u1 >= u2))); +***** test z = (x1 < x2); assert (isequal (double (z), (u1 < u2))); +***** test z = (x1 > x2); assert (isequal (double (z), (u1 > u2))); +***** test z = x1 & x2; assert (isequal (double (z), u1 & u2)); +***** test z = x1 | x2; assert (isequal (double (z), u1 | u2)); +***** test z = xor (x1, x2); assert (isequal (double (z), xor (u1, u2))); ***** shared x + x = stk_factorialdesign ({[0 1], [0 1 2]}); +***** assert (strcmp (class (x'), 'stk_dataframe')) +***** assert (strcmp (class (x.'), 'stk_dataframe')) +60 tests, 60 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_factorialdesign/ismember.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/ismember.m +***** shared A, B, BB, b + + i_max = 10; n = 100; d = 5; + + A = randi (i_max, n, d); + + levels = repmat ({1:i_max}, 1, d); + levels{4} = 1:2:i_max; + B = stk_factorialdesign (levels); + + BB = double (B); +***** test b = ismember (A, B); +***** assert (isequal (b, ismember (A, BB))); +***** test b = ismember (A, B, 'rows'); +***** assert (isequal (b, ismember (A, BB, 'rows'))); +4 tests, 4 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_factorialdesign/stk_normalize.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_normalize.m ***** test - x = stk_dataframe (randn (10, 1), 'NOx'); - assert (isequal (x.colnames, {'NOx'})); + x = stk_factorialdesign ({[1 2], [5 6]}); + y = stk_factorialdesign ({[0 1], [0 1]}); + assert (stk_isequal_tolabs (stk_normalize (x), y)) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_factorialdesign/stk_dataframe.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_dataframe.m +***** shared x, cn, rn, y, cn2, rn2 + cn = {'x' 'y'}; + rn = {'a'; 'b'; 'c'; 'd'}; + x = stk_factorialdesign ({1:2, 1:2}, cn, rn); + cn2 = {'xx' 'yy'}; + rn2 = {'aa'; 'bb'; 'cc'; 'dd'}; +***** test y = stk_dataframe (x); +***** assert (strcmp (class (y), 'stk_dataframe')) +***** assert (isequal (y.colnames, cn)) +***** assert (isequal (y.rownames, rn)) +***** test y = stk_dataframe (x, cn2); +***** assert (strcmp (class (y), 'stk_dataframe')) +***** assert (isequal (y.colnames, cn2)) +***** assert (isequal (y.rownames, rn)) +***** test y = stk_dataframe (x, cn2, rn2); +***** assert (strcmp (class (y), 'stk_dataframe')) +***** assert (isequal (y.colnames, cn2)) +***** assert (isequal (y.rownames, rn2)) +***** test y = stk_dataframe (x, [], rn2); +***** assert (strcmp (class (y), 'stk_dataframe')) +***** assert (isequal (y.colnames, cn)) +***** assert (isequal (y.rownames, rn2)) +***** test y = stk_dataframe (x, {}, rn2); +***** assert (strcmp (class (y), 'stk_dataframe')) +***** assert (isequal (y.colnames, {})) +***** assert (isequal (y.rownames, rn2)) +20 tests, 20 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_factorialdesign/stk_boundingbox.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_boundingbox.m +***** shared x, y, cn + cn = {'a', 'b', 'c'}; + x = stk_factorialdesign ({[1 2], [3 4 5], [0 2 8]}, cn); +***** error y = stk_boundingbox (); +***** test y = stk_boundingbox (x); +***** assert (isequal (y, stk_hrect ([1 3 0; 2 5 8], cn))); +3 tests, 3 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/mrdivide.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mrdivide.m ***** test - y = stk_dataframe (x, 'toto'); - assert (isequal (y.colnames, {'toto'})); + x1_data = [8 7; 58 49]; + x1 = stk_dataframe (x1_data, {'x' 'y'}, {'a'; 'b'}); + x2_data = [8 7; 2 0]; + x2 = stk_dataframe (x2_data, {'x' 'y'}, {'u'; 'v'}); + y = x1 / x2; + assert (stk_isequal_tolabs (y, ... + stk_dataframe ([1 0; 7 1], {'u'; 'v'}, {'a'; 'b'}))); +***** shared x_data, x, y_data, y + x_data = [3 3; 6 3; 9 12]; + y_data = [1 1; 2 1; 3 4]; + x = stk_dataframe (x_data, {'x' 'y'}, {'a'; 'b'; 'c'}); +***** test y = x / 3; +***** assert (isequal (y, stk_dataframe ([1 1; 2 1; 3 4], {'x' 'y'}, {'a'; 'b'; 'c'}))); +***** error y = 3 / x; +4 tests, 4 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/tanh.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/tanh.m ***** test - x = stk_dataframe (randn (1, 2), {}, 'aaa'); - assert (isequal (x.rownames, {'aaa'})); + u = rand (4, 3); x = stk_dataframe (u); v = tanh (x); + assert (strcmp (class (v), class (u)) && isequal (v, tanh (u))) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/log1p.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log1p.m ***** test - y = stk_dataframe (x, {}, 'tata'); - assert (isequal (y.rownames, {'tata'})); -24 tests, 24 passed, 0 known failure, 0 skipped + u = rand (4, 3); x = stk_dataframe (u); v = log1p (x); + assert (strcmp (class (v), class (u)) && isequal (v, log1p (u))) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/atand.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/atand.m +***** test + u = rand (4, 3); x = stk_dataframe (u); v = atand (x); + assert (strcmp (class (v), class (u)) && isequal (v, atand (u))) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/fieldnames.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/fieldnames.m +***** test + x = stk_dataframe (rand (3, 2), {'u' 'v'}); + assert (isequal (sort (fieldnames (x)), ... + {'colnames'; 'data'; 'info'; 'rownames'; 'sample_size'; 'u'; 'v'})); +***** test + x = stk_dataframe (rand (3, 2)); + x.rownames(2:3) = {'aa', 'bb'}; + x.colnames{2} = 'toto'; + assert (isequal (fieldnames (x), ... + {'toto'; 'aa'; 'bb'; 'data'; 'info'; ... + 'rownames'; 'colnames'; 'sample_size'})); +2 tests, 2 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/abs.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/abs.m +***** test + u = rand (4, 3); x = stk_dataframe (u); v = abs (x); + assert (strcmp (class (v), class (u)) && isequal (v, abs (u))) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/plot.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/plot.m +***** test % plot with x as a vector and z as a (univariate) dataframe + x = linspace(0, 2*pi, 30)'; + z = stk_dataframe(sin(x)); + figure; plot(x, z); close(gcf); +warning: using the gnuplot graphics toolkit is discouraged + +The gnuplot graphics toolkit is not actively maintained and has a number +of limitations that are unlikely to be fixed. Communication with gnuplot +uses a one-directional pipe and limited information is passed back to the +Octave interpreter so most changes made interactively in the plot window +will not be reflected in the graphics properties managed by Octave. For +example, if the plot window is closed with a mouse click, Octave will not +be notified and will not update its internal list of open figure windows. +The qt toolkit is recommended instead. +***** test % plot with x as a vector and z as a (multivariate) dataframe + x = linspace(0, 2*pi, 30)'; + z = stk_dataframe([sin(x) cos(x)], {'sin' 'cos'}); + figure; plot(x, z); close(gcf); +***** test % plot with x as a dataframe and z as a vector + x = stk_dataframe(linspace(0, 2*pi, 30)'); + z = sin(double(x)); + figure; plot(x, z); close(gcf); +3 tests, 3 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/atanh.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/atanh.m +***** test + u = rand (4, 3); x = stk_dataframe (u); v = atanh (x); + assert (strcmp (class (v), class (u)) && isequal (v, atanh (u))) +1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/plus.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/plus.m ***** test stk_test_dfbinaryop(@plus, rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop(@plus, rand(7, 2), pi); ***** error stk_test_dfbinaryop(@plus, rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/acosh.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/acosh.m +***** test + u = rand (4, 3); x = stk_dataframe (u); v = acosh (x); + assert (strcmp (class (v), class (u)) && isequal (v, acosh (u))) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/transpose.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/transpose.m +***** test + u = rand(3, 2) + 1i * rand(3, 2); + data = stk_dataframe(u, {'x' 'y'}, {'obs1'; 'obs2'; 'obs3'}); + data = data.'; + assert (isa(data, 'stk_dataframe') && isequal(double(data), u.')); + assert (isequal(data.rownames, {'x'; 'y'})); + assert (isequal(data.colnames, {'obs1' 'obs2' 'obs3'})); +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/var.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/var.m +***** shared x1, df1 + x1 = rand(9, 3); + df1 = stk_dataframe(x1, {'a', 'b', 'c'}); +***** assert (isequal (var(df1), var(x1))) +***** assert (isequal (var(df1, 0, 1), var(x1))) +***** assert (isequal (var(df1, 0, 2), var(x1, 0, 2))) +***** assert (isequal (var(df1, 1), var(x1, 1))) +***** assert (isequal (var(df1, 1, 1), var(x1, 1))) +***** assert (isequal (var(df1, 1, 2), var(x1, 1, 2))) +6 tests, 6 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/subsref.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/subsref.m +***** shared x, s, t, data + x = stk_dataframe(rand(3, 2)); + s = {'a'; 'b'; 'c'}; + t = {'xx' 'yy'}; +***** test + x = set(x, 'rownames', s); + assert (isequal (x.rownames, s)) + assert (isequal (x.rownames{2}, 'b')) +***** test + x = set(x, 'colnames', t); + assert (isequal (x.rownames, s)) + assert (isequal (x.colnames, t)) + assert (isequal (x.colnames{2}, 'yy')) +***** shared u, data + u = rand(3, 2); + data = stk_dataframe(u, {'x1', 'x2'}); +***** assert (isequal (data.x2, u(:, 2))) +***** assert (data.x2(3) == u(3, 2)) +***** error t = data.toto; +***** error t = data(1, 1).zzz; % illegal multilevel indexing +***** error t = data(1, 1, 1); % too many indices +***** error t = data{1}; % curly braces not allowed +***** test % select rows and columns + x = stk_dataframe (reshape (1:15, 5, 3), {'u' 'v' 'w'}); + assert (isequal (x([3 5], 2), stk_dataframe ([8; 10], {'v'}))); +***** shared u, data + u = rand(3, 1); data = stk_dataframe(u, {'x'}); +***** assert (isequal (data.x, u)) +***** assert (isequal (double (data), u)) +***** assert (isequal (double (data(2)), u(2))) +***** assert (isequal (double (data(3, 1)), u(3))) +***** error t = data(1, 1, 1); % too many indices +***** test + x = stk_dataframe (randn (2, 2), {'u' 'v'}); + y = x ([], :); + assert (isa (y, 'stk_dataframe')); + assert (isequal (size (y), [0 2])); + assert (isequal (y.colnames, {'u' 'v'})); +***** test + x = stk_dataframe (randn (2, 2), [], {'a' 'b'}); + y = x (:, []); + assert (isa (y, 'stk_dataframe')); + assert (isequal (size (y), [2 0])); + assert (isequal (y.rownames, {'a'; 'b'})); +16 tests, 16 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/std.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/std.m +***** shared x1, df1 + x1 = rand(9, 3); + df1 = stk_dataframe(x1, {'a', 'b', 'c'}); +***** assert (isequal (std(df1), std(x1))) +***** assert (isequal (std(df1, 0, 1), std(x1))) +***** assert (isequal (std(df1, 0, 2), std(x1, 0, 2))) +***** assert (isequal (std(df1, 1), std(x1, 1))) +***** assert (isequal (std(df1, 1, 1), std(x1, 1))) +***** assert (isequal (std(df1, 1, 2), std(x1, 1, 2))) +6 tests, 6 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/length.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/length.m +***** error length (stk_dataframe ([1 2; 3 4; 5 6])) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/asind.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/asind.m +***** test + u = rand (4, 3); x = stk_dataframe (u); v = asind (x); + assert (strcmp (class (v), class (u)) && isequal (v, asind (u))) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/isinf.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/isinf.m +***** test + u = [pi, NaN, Inf, -Inf]; x = stk_dataframe (u); v = isinf (x); + assert (islogical (v) && isequal (v, isinf (u))) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/log.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log.m +***** test + u = rand (4, 3); x = stk_dataframe (u); v = log (x); + assert (strcmp (class (v), class (u)) && isequal (v, log (u))) +1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/subsasgn.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/subsasgn.m ***** shared x, s, t, data @@ -3160,124 +5749,150 @@ ***** test x.rownames{2} = 'b'; ***** assert (isequal (x.rownames, {''; 'b'; ''})); 37 tests, 37 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/stk_sprintf.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_sprintf.m -***** shared x, fmt - fmt = stk_disp_getformat (); - x = stk_dataframe (rand (3, 2)); -***** test format rat; disp (x); - : -------- -------- - * : 0.244979 0.155076 - * : 0.846825 0.153700 - * : 0.161103 0.809742 -***** test format long; disp (x); - : ---------------- ---------------- - * : 0.24497867009580 0.15507568331247 - * : 0.84682490522395 0.15370036015630 - * : 0.16110254291333 0.80974159531175 -***** test format short; disp (x); format (fmt); - : -------- -------- - * : 0.244979 0.155076 - * : 0.846825 0.153700 - * : 0.161103 0.809742 -***** test disp (stk_dataframe (zeros (0, 1))) - Empty data frame with 0 rows and 0 columns -***** test disp (stk_dataframe (zeros (0, 2))) - Empty data frame with 0 rows and 0 columns -5 tests, 5 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/plot.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/plot.m -***** test % plot with x as a vector and z as a (univariate) dataframe - x = linspace(0, 2*pi, 30)'; - z = stk_dataframe(sin(x)); - figure; plot(x, z); close(gcf); -warning: using the gnuplot graphics toolkit is discouraged +[inst/arrays/@stk_dataframe/sinh.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sinh.m +***** test + u = rand (4, 3); x = stk_dataframe (u); v = sinh (x); + assert (strcmp (class (v), class (u)) && isequal (v, sinh (u))) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/tand.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/tand.m +***** test + u = rand (4, 3); x = stk_dataframe (u); v = tand (x); + assert (strcmp (class (v), class (u)) && isequal (v, tand (u))) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/mtimes.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mtimes.m +***** shared x, y, z, w -The gnuplot graphics toolkit is not actively maintained and has a number -of limitations that are unlikely to be fixed. Communication with gnuplot -uses a one-directional pipe and limited information is passed back to the -Octave interpreter so most changes made interactively in the plot window -will not be reflected in the graphics properties managed by Octave. For -example, if the plot window is closed with a mouse click, Octave will not -be notified and will not update its internal list of open figure windows. -The qt toolkit is recommended instead. -***** test % plot with x as a vector and z as a (multivariate) dataframe - x = linspace(0, 2*pi, 30)'; - z = stk_dataframe([sin(x) cos(x)], {'sin' 'cos'}); - figure; plot(x, z); close(gcf); -***** test % plot with x as a dataframe and z as a vector - x = stk_dataframe(linspace(0, 2*pi, 30)'); - z = sin(double(x)); - figure; plot(x, z); close(gcf); -3 tests, 3 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/mean.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mean.m -***** shared x1, df1 - x1 = rand(9, 3); - df1 = stk_dataframe(x1, {'a', 'b', 'c'}); -***** assert (isequal (mean(df1), mean(x1))) -***** assert (isequal (mean(df1, 1), mean(x1))) -***** assert (isequal (mean(df1, 2), mean(x1, 2))) -3 tests, 3 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/fieldnames.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/fieldnames.m + u = [1 3 4; 2 7 6]; % 2 x 3 + v = [6 2; 1 7; 9 4]; % 3 x 2 + w = [45 39; 73 77]; % u * v + + x = stk_dataframe (u, {}, {'a'; 'b'}); + y = stk_dataframe (v, {'c' 'd'}); + z = x * y; +***** assert (isa (z, 'stk_dataframe')); +***** assert (isequal (z.data, w)); +***** assert (isequal (z.rownames, x.rownames)); +***** assert (isequal (z.colnames, y.colnames)); +***** shared x, y + x = stk_dataframe (rand (3, 2), {'x' 'y'}, {'a'; 'b'; 'c'}); +***** test y = 3 * x; +***** assert (isequal (y, stk_dataframe (3 * x.data, {'x' 'y'}, {'a'; 'b'; 'c'}))); +***** test y = x * 3; +***** assert (isequal (y, stk_dataframe (3 * x.data, {'x' 'y'}, {'a'; 'b'; 'c'}))); +8 tests, 8 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/horzcat.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/horzcat.m +***** shared u, v + u = rand(3, 2); + v = rand(3, 2); ***** test - x = stk_dataframe (rand (3, 2), {'u' 'v'}); - assert (isequal (sort (fieldnames (x)), ... - {'colnames'; 'data'; 'info'; 'rownames'; 'sample_size'; 'u'; 'v'})); + x = stk_dataframe(u, {'x1' 'x2'}); + y = stk_dataframe(v, {'y1' 'y2'}); + z = horzcat (x, y); + assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); + assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); ***** test - x = stk_dataframe (rand (3, 2)); - x.rownames(2:3) = {'aa', 'bb'}; - x.colnames{2} = 'toto'; - assert (isequal (fieldnames (x), ... - {'toto'; 'aa'; 'bb'; 'data'; 'info'; ... - 'rownames'; 'colnames'; 'sample_size'})); -2 tests, 2 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/median.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/median.m + x = stk_dataframe(u, {'x1' 'x2'}, {'a'; 'b'; 'c'}); + y = stk_dataframe(v, {'y1' 'y2'}); + z = horzcat (x, y); + assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); + assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); + assert(all(strcmp(z.rownames, {'a'; 'b'; 'c'}))); +***** test + x = stk_dataframe(u, {'x1' 'x2'}); + y = stk_dataframe(v, {'y1' 'y2'}, {'a'; 'b'; 'c'}); + z = horzcat (x, y); + assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); + assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); + assert(all(strcmp(z.rownames, {'a'; 'b'; 'c'}))); +***** test % incompatible row names + x = stk_dataframe (u, {'x1' 'x2'}, {'a'; 'b'; 'c'}); + y = stk_dataframe (v, {'y1' 'y2'}, {'a'; 'b'; 'd'}); + z = horzcat (x, y); + assert (isequal (z.rownames, {})); +warning: Incompatible row names ! +The output of horzcat will have no row names. +warning: called from + horzcat at line 73 column 9 + __test__ at line 5 column 4 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 926 column 31 + +***** test + x = stk_dataframe (u); + z = horzcat (x, v); + assert (isa (z, 'stk_dataframe') && isequal (double (z), [u v])); +***** test + y = stk_dataframe (v); + z = horzcat (u, y); + assert (isa (z, 'stk_dataframe') && isequal (double (z), [u v])); +***** test + x = stk_dataframe(u, {'x1' 'x2'}); + y = stk_dataframe(v, {'y1' 'y2'}); + z = horzcat (x, y, u, v); + assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v u v])); +7 tests, 7 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/double.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/double.m +***** test + u = rand(4, 3); + x = stk_dataframe(u); + v = double(x); + assert (strcmp(class(v), 'double') && isequal(v, u)) +***** test + u = (rand(4, 3) < 0.5); + x = stk_dataframe(u); + v = double(x); + assert (strcmp(class(v), 'double') && isequal(v, double(u))) +***** test + u = uint8 (rand (4, 3) * 5); + x = stk_dataframe(u); + v = double(x); + assert (strcmp(class(v), 'double') && isequal(v, double(u))) +3 tests, 3 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/mode.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mode.m ***** shared x1, df1 - x1 = rand(9, 3); + x1 = floor(3 * rand(9, 3)); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); -***** assert (isequal (median(df1), median(x1))) -***** assert (isequal (median(df1, 1), median(x1))) -***** assert (isequal (median(df1, 2), median(x1, 2))) +***** assert (isequal (mode(df1), mode(x1))) +***** assert (isequal (mode(df1, 1), mode(x1))) +***** assert (isequal (mode(df1, 2), mode(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/isinf.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/isinf.m -***** test - u = [pi, NaN, Inf, -Inf]; x = stk_dataframe (u); v = isinf (x); - assert (islogical (v) && isequal (v, isinf (u))) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/unique.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/unique.m -***** test - cn = {'u' 'v' 'w'}; x = stk_dataframe (rand (4, 3), cn); - y = [x; x]; z = unique (y, 'rows'); - assert (isequal (z.colnames, cn)); - assert (isequal (z.data, unique (x.data, 'rows'))); -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/transpose.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/transpose.m +[inst/arrays/@stk_dataframe/cat.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cat.m +***** shared u, v, x, y + u = rand(3, 2); + v = rand(3, 2); + x = stk_dataframe(u); + y = stk_dataframe(v); +***** test % vertical + z = cat(1, x, y); + assert(isa(z, 'stk_dataframe')); + assert(isequal(double(z), [u; v])); +***** error z = cat(3, x, y); +***** test % horizontal + y = stk_dataframe(v, {'y1' 'y2'}); + z = cat(2, x, y); + assert(isa(z, 'stk_dataframe')); + assert(isequal(double(z), [u v])); + assert(all(strcmp(z.colnames, {'' '' 'y1' 'y2'}))); +3 tests, 3 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/stk_length.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_length.m ***** test - u = rand(3, 2) + 1i * rand(3, 2); - data = stk_dataframe(u, {'x' 'y'}, {'obs1'; 'obs2'; 'obs3'}); - data = data.'; - assert (isa(data, 'stk_dataframe') && isequal(double(data), u.')); - assert (isequal(data.rownames, {'x'; 'y'})); - assert (isequal(data.colnames, {'obs1' 'obs2' 'obs3'})); + x = stk_dataframe ([1 2; 3 4; 5 6]); + assert (isequal (stk_length (x), 3)); 1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/cosd.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cosd.m +[inst/arrays/@stk_dataframe/asinh.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/asinh.m ***** test - u = rand (4, 3); x = stk_dataframe (u); v = cosd (x); - assert (strcmp (class (v), class (u)) && isequal (v, cosd (u))) + u = rand (4, 3); x = stk_dataframe (u); v = asinh (x); + assert (strcmp (class (v), class (u)) && isequal (v, asinh (u))) 1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/minus.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/minus.m -***** test stk_test_dfbinaryop(@minus, rand(7, 2), rand(7, 2)); -***** test stk_test_dfbinaryop(@minus, rand(7, 2), pi); -***** error stk_test_dfbinaryop(@minus, rand(7, 2), rand(7, 3)); -3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/logical.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/logical.m ***** test @@ -3296,34 +5911,6 @@ v = logical (x); assert (strcmp (class (v), 'logical') && isequal (v, logical (u))) 3 tests, 3 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/end.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/end.m -***** shared x - x = stk_dataframe ([1; 2; 3]); -***** assert (isequal (double (x(2:end, :)), [2; 3])) -***** assert (isequal (double (x(2:end)), [2; 3])) -***** assert (isequal (double (x(2, 1:end)), 2)) -***** assert (isequal (double (x(end)), 3)) -***** shared x - x = stk_dataframe ([1 2; 3 4; 5 6]); -***** assert (isequal (x(2:end, :), x(2:3, :))) -***** assert (isequal (x(2, 1:end), x(2, :))) -***** assert (isequal (x(2:end, 2:end), x(2:3, 2))) -***** error x(1:end, 1:end, 1:end) -8 tests, 8 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/reshape.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/reshape.m -***** test - x = stk_dataframe (randn (10, 3)); - y = reshape (x, 5, 6); - assert (isa (y, 'stk_dataframe') && isequal (size (y), [5 6])) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/tanh.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/tanh.m -***** test - u = rand (4, 3); x = stk_dataframe (u); v = tanh (x); - assert (strcmp (class (v), class (u)) && isequal (v, tanh (u))) -1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sum.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sum.m ***** shared x1, df1 @@ -3333,17 +5920,19 @@ ***** assert (isequal (sum(df1, 1), sum(x1))) ***** assert (isequal (sum(df1, 2), sum(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/tand.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/tand.m -***** test - u = rand (4, 3); x = stk_dataframe (u); v = tand (x); - assert (strcmp (class (v), class (u)) && isequal (v, tand (u))) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/log2.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log2.m +[inst/arrays/@stk_dataframe/realpow.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/realpow.m +***** test stk_test_dfbinaryop(@realpow, rand(7, 2), .1 + rand(7, 2)); +***** test stk_test_dfbinaryop(@realpow, rand(7, 2), .1); +***** error stk_test_dfbinaryop(@realpow, rand(7, 2), .1 + rand(7, 3)); +3 tests, 3 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/stk_rescale.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_rescale.m ***** test - u = rand (4, 3); x = stk_dataframe (u); v = log2 (x); - assert (strcmp (class (v), class (u)) && isequal (v, log2 (u))) + u = rand(5, 1) * 2; + x = stk_dataframe(u); + y = stk_rescale(x, [0; 2], [0; 3]); + assert (isa (y, 'stk_dataframe') && isequal(double(y), u * 3/2)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/acos.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/acos.m @@ -3351,20 +5940,28 @@ u = rand (4, 3); x = stk_dataframe (u); v = acos (x); assert (strcmp (class (v), class (u)) && isequal (v, acos (u))) 1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/stk_rescale.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_rescale.m +[inst/arrays/@stk_dataframe/median.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/median.m +***** shared x1, df1 + x1 = rand(9, 3); + df1 = stk_dataframe(x1, {'a', 'b', 'c'}); +***** assert (isequal (median(df1), median(x1))) +***** assert (isequal (median(df1, 1), median(x1))) +***** assert (isequal (median(df1, 2), median(x1, 2))) +3 tests, 3 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/log10.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log10.m ***** test - u = rand(5, 1) * 2; - x = stk_dataframe(u); - y = stk_rescale(x, [0; 2], [0; 3]); - assert (isa (y, 'stk_dataframe') && isequal(double(y), u * 3/2)) + u = rand (4, 3); x = stk_dataframe (u); v = log10 (x); + assert (strcmp (class (v), class (u)) && isequal (v, log10 (u))) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/reshape.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/reshape.m +***** test + x = stk_dataframe (randn (10, 3)); + y = reshape (x, 5, 6); + assert (isa (y, 'stk_dataframe') && isequal (size (y), [5 6])) 1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/power.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/power.m -***** test stk_test_dfbinaryop(@power, rand(7, 2), .1 + rand(7, 2)); -***** test stk_test_dfbinaryop(@power, rand(7, 2), .1); -***** error stk_test_dfbinaryop(@power, rand(7, 2), .1 + rand(7, 3)); -3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/quantile.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/quantile.m ***** shared x1, df1, p @@ -3375,105 +5972,208 @@ ***** assert (isequal (quantile (df1, p, 1), quantile (x1, p))) ***** assert (isequal (quantile (df1, p, 2), quantile (x1, p, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/tan.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/tan.m +[inst/arrays/@stk_dataframe/atan.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/atan.m ***** test - u = rand (4, 3); x = stk_dataframe (u); v = tan (x); - assert (strcmp (class (v), class (u)) && isequal (v, tan (u))) + u = rand (4, 3); x = stk_dataframe (u); v = atan (x); + assert (strcmp (class (v), class (u)) && isequal (v, atan (u))) 1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/isfinite.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/isfinite.m +[inst/arrays/@stk_dataframe/stk_get_sample_size.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_get_sample_size.m ***** test - u = [pi, NaN, Inf, -Inf]; x = stk_dataframe (u); v = isfinite (x); - assert (islogical (v) && isequal (v, isfinite (u))) + x = stk_dataframe ([1 2; 3 4; 5 6]); + assert (isequal (stk_get_sample_size (x), 3)); 1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/prod.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/prod.m -***** shared x1, df1 - x1 = rand(9, 3); - df1 = stk_dataframe(x1, {'a', 'b', 'c'}); -***** assert (isequal (prod(df1), prod(x1))) -***** assert (isequal (prod(df1, 1), prod(x1))) -***** assert (isequal (prod(df1, 2), prod(x1, 2))) -3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/isnan.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/isnan.m ***** test u = [pi, NaN, Inf, -Inf]; x = stk_dataframe (u); v = isnan (x); assert (islogical (v) && isequal (v, isnan (u))) 1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/bsxfun.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/bsxfun.m -***** shared x1, x2, data1, data2 - x1 = rand (3, 2); data1 = stk_dataframe (x1); - x2 = rand (3, 2); data2 = stk_dataframe (x2); +[inst/arrays/@stk_dataframe/sort.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sort.m +***** shared x, y + x = stk_dataframe ([3; 2; 1], {}, {'a', 'b', 'c'}); + y = sort (x); +***** assert (strcmp (class (y), 'stk_dataframe')) +***** assert (isequal (y.data, [1; 2; 3])) +***** assert (isequal (y.rownames, {'c'; 'b'; 'a'})) +***** error y = sort (x, []); +***** assert (isequal (sort (x, 1), y)) +***** assert (isequal (sort (x, 2), x)) +***** error sort (x, 3) +***** error y = sort (x, [], 'ascend'); +***** assert (isequal (sort (x, 1, 'ascend'), y)) +***** assert (isequal (sort (x, 2, 'ascend'), x)) +***** error y = sort (x, 3, 'ascend'); +***** error y = sort (x, [], 'descend'); +***** assert (isequal (sort (x, 1, 'descend'), x)) +***** assert (isequal (sort (x, 2, 'descend'), x)) +***** error sort (x, 3, 'descend') +15 tests, 15 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/sqrt.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sqrt.m ***** test - z = bsxfun (@plus, data1, x2); - assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) + u = rand (4, 3); x = stk_dataframe (u); v = sqrt (x); + assert (strcmp (class (v), class (u)) && isequal (v, sqrt (u))) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/mldivide.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mldivide.m ***** test - z = bsxfun (@plus, x1, data2); - assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) + x1_data = [57 7; 2 0]; + x1 = stk_dataframe (x1_data, {'x' 'y'}, {'a'; 'b'}); + x2_data = [8 7; 2 0]; + x2 = stk_dataframe (x2_data, {'w' 'z'}, {'a'; 'b'}); + y = x2 \ x1; + assert (stk_isequal_tolabs (y, ... + stk_dataframe ([1 0; 7 1], {'x'; 'y'}, {'w'; 'z'}))); +***** shared x_data, x, y_data, y + x_data = [3 3; 6 3; 9 12]; + y_data = [1 1; 2 1; 3 4]; + x = stk_dataframe (x_data, {'x' 'y'}, {'a'; 'b'; 'c'}); +***** test y = 3 \ x; +***** assert (isequal (y, stk_dataframe (y_data, {'x' 'y'}, {'a'; 'b'; 'c'}))); +***** error y = x \ 3; +4 tests, 4 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/sin.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sin.m ***** test - z = bsxfun (@plus, data1, data2); - assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) -***** shared x, y - x = stk_dataframe (randn (2), {'x1', 'x2'}, {'a'; 'b'}); - y = stk_dataframe (randn (2), {'y1', 'y2'}, {'c'; 'd'}); -***** test z = x + y; - assert (isequal (z.colnames, x.colnames)); - assert (isequal (z.rownames, x.rownames)); -***** test z = y + x; - assert (isequal (z.colnames, y.colnames)); - assert (isequal (z.rownames, y.rownames)); -5 tests, 5 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/abs.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/abs.m + u = rand (4, 3); x = stk_dataframe (u); v = sin (x); + assert (strcmp (class (v), class (u)) && isequal (v, sin (u))) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/apply.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/apply.m +***** shared x, t, u + t = rand (3, 2); + x = stk_dataframe (t); +***** test u = apply (x, 1, @sum); +***** assert (isequal (u, sum (t, 1))) +***** test u = apply (x, 2, @sum); +***** assert (isequal (u, sum (t, 2))) +***** error u = apply (x, 3, @sum); +***** test u = apply (x, 1, @min, []); +***** assert (isequal (u, min (t, [], 1))) +***** test u = apply (x, 2, @min, []); +***** assert (isequal (u, min (t, [], 2))) +***** error u = apply (x, 3, @min, []); ***** test - u = rand (4, 3); x = stk_dataframe (u); v = abs (x); - assert (strcmp (class (v), class (u)) && isequal (v, abs (u))) + t = [1; 3; 2]; + x = stk_dataframe (t); + [M, k] = apply (x, 1, @max, []); + assert ((M == 3) && (k == 2)); +11 tests, 11 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/unique.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/unique.m +***** test + cn = {'u' 'v' 'w'}; x = stk_dataframe (rand (4, 3), cn); + y = [x; x]; z = unique (y, 'rows'); + assert (isequal (z.colnames, cn)); + assert (isequal (z.data, unique (x.data, 'rows'))); 1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/disp.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/disp.m +[inst/arrays/@stk_dataframe/cos.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cos.m +***** test + u = rand (4, 3); x = stk_dataframe (u); v = cos (x); + assert (strcmp (class (v), class (u)) && isequal (v, cos (u))) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/ismember.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/ismember.m +***** shared u, x, u1, x1, u2, x2 + u = rand (10, 4); + x = stk_dataframe (u); + x1 = x(1, :); + u1 = double (x1); + u2 = - ones (1, 4); + x2 = stk_dataframe (u2); +***** assert (ismember (u1, x, 'rows')) +***** assert (ismember (x1, u, 'rows')) +***** assert (ismember (x1, x, 'rows')) +***** assert (~ ismember (u2, x, 'rows')) +***** assert (~ ismember (x2, u, 'rows')) +***** assert (~ ismember (x2, x, 'rows')) +***** test + [b, idx] = ismember ([x2; x1; x1], x, 'rows'); + assert (isequal (b, [false; true; true])); + assert (isequal (idx, [0; 1; 1])) +7 tests, 7 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/prod.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/prod.m +***** shared x1, df1 + x1 = rand(9, 3); + df1 = stk_dataframe(x1, {'a', 'b', 'c'}); +***** assert (isequal (prod(df1), prod(x1))) +***** assert (isequal (prod(df1, 1), prod(x1))) +***** assert (isequal (prod(df1, 2), prod(x1, 2))) +3 tests, 3 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/stk_sprintf.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_sprintf.m ***** shared x, fmt fmt = stk_disp_getformat (); x = stk_dataframe (rand (3, 2)); ***** test format rat; disp (x); : -------- -------- - * : 0.158439 0.243623 - * : 0.925658 0.810073 - * : 0.975674 0.201579 + * : 0.469302 0.089984 + * : 0.977084 0.121606 + * : 0.569270 0.380621 ***** test format long; disp (x); : ---------------- ---------------- - * : 0.15843888830501 0.24362310538896 - * : 0.92565765171532 0.81007268636390 - * : 0.97567434449392 0.20157913937739 + * : 0.46930181365239 0.08998406479892 + * : 0.97708364548695 0.12160620212735 + * : 0.56926972887009 0.38062133942372 ***** test format short; disp (x); format (fmt); : -------- -------- - * : 0.158439 0.243623 - * : 0.925658 0.810073 - * : 0.975674 0.201579 + * : 0.469302 0.089984 + * : 0.977084 0.121606 + * : 0.569270 0.380621 ***** test disp (stk_dataframe (zeros (0, 1))) Empty data frame with 0 rows and 0 columns ***** test disp (stk_dataframe (zeros (0, 2))) Empty data frame with 0 rows and 0 columns 5 tests, 5 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/atan.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/atan.m +[inst/arrays/@stk_dataframe/cosd.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cosd.m ***** test - u = rand (4, 3); x = stk_dataframe (u); v = atan (x); - assert (strcmp (class (v), class (u)) && isequal (v, atan (u))) + u = rand (4, 3); x = stk_dataframe (u); v = cosd (x); + assert (strcmp (class (v), class (u)) && isequal (v, cosd (u))) 1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/expm1.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/expm1.m +[inst/arrays/@stk_dataframe/ctranspose.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/ctranspose.m ***** test - u = rand (4, 3); x = stk_dataframe (u); v = expm1 (x); - assert (strcmp (class (v), class (u)) && isequal (v, expm1 (u))) + u = rand(3, 2) + 1i * rand(3, 2); + data = stk_dataframe(u, {'x' 'y'}, {'obs1'; 'obs2'; 'obs3'}); + data = data'; + assert (isa(data, 'stk_dataframe') && isequal(double(data), u')); + assert (isequal(data.rownames, {'x'; 'y'})); + assert (isequal(data.colnames, {'obs1' 'obs2' 'obs3'})); 1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/stk_length.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_length.m +[inst/arrays/@stk_dataframe/log2.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log2.m ***** test - x = stk_dataframe ([1 2; 3 4; 5 6]); - assert (isequal (stk_length (x), 3)); + u = rand (4, 3); x = stk_dataframe (u); v = log2 (x); + assert (strcmp (class (v), class (u)) && isequal (v, log2 (u))) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/min.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/min.m +***** test stk_test_dfbinaryop ('min', rand(7, 2), rand(7, 2)); +***** test stk_test_dfbinaryop ('min', rand(7, 2), pi); +***** error stk_test_dfbinaryop ('min', rand(7, 2), rand(7, 3)); +***** shared x1, df1 + x1 = rand(9, 3); + df1 = stk_dataframe(x1, {'a', 'b', 'c'}); +***** assert (isequal (min(df1), min(x1))) +***** assert (isequal (min(df1, [], 1), min(x1))) +***** assert (isequal (min(df1, [], 2), min(x1, [], 2))) +***** error (min(df1, df1, 2)) +***** test + x = stk_dataframe ([5; 2; 4]); + [M, k] = min (x); + assert ((M == 2) && (k == 2)); +8 tests, 8 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/acosd.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/acosd.m +***** test + u = rand (4, 3); x = stk_dataframe (u); v = acosd (x); + assert (strcmp (class (v), class (u)) && isequal (v, acosd (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/ldivide.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/ldivide.m @@ -3481,53 +6181,32 @@ ***** test stk_test_dfbinaryop(@ldivide, 1 + rand(7, 2), pi); ***** error stk_test_dfbinaryop(@ldivide, 1 + rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/mrdivide.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mrdivide.m -***** test - x1_data = [8 7; 58 49]; - x1 = stk_dataframe (x1_data, {'x' 'y'}, {'a'; 'b'}); - x2_data = [8 7; 2 0]; - x2 = stk_dataframe (x2_data, {'x' 'y'}, {'u'; 'v'}); - y = x1 / x2; - assert (stk_isequal_tolabs (y, ... - stk_dataframe ([1 0; 7 1], {'u'; 'v'}, {'a'; 'b'}))); -***** shared x_data, x, y_data, y - x_data = [3 3; 6 3; 9 12]; - y_data = [1 1; 2 1; 3 4]; - x = stk_dataframe (x_data, {'x' 'y'}, {'a'; 'b'; 'c'}); -***** test y = x / 3; -***** assert (isequal (y, stk_dataframe ([1 1; 2 1; 3 4], {'x' 'y'}, {'a'; 'b'; 'c'}))); -***** error y = 3 / x; -4 tests, 4 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/cosh.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cosh.m -***** test - u = rand (4, 3); x = stk_dataframe (u); v = cosh (x); - assert (strcmp (class (v), class (u)) && isequal (v, cosh (u))) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/cos.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cos.m -***** test - u = rand (4, 3); x = stk_dataframe (u); v = cos (x); - assert (strcmp (class (v), class (u)) && isequal (v, cos (u))) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/log.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log.m +[inst/arrays/@stk_dataframe/asin.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/asin.m ***** test - u = rand (4, 3); x = stk_dataframe (u); v = log (x); - assert (strcmp (class (v), class (u)) && isequal (v, log (u))) + u = rand (4, 3); x = stk_dataframe (u); v = asin (x); + assert (strcmp (class (v), class (u)) && isequal (v, asin (u))) 1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/asind.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/asind.m +[inst/arrays/@stk_dataframe/tan.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/tan.m ***** test - u = rand (4, 3); x = stk_dataframe (u); v = asind (x); - assert (strcmp (class (v), class (u)) && isequal (v, asind (u))) + u = rand (4, 3); x = stk_dataframe (u); v = tan (x); + assert (strcmp (class (v), class (u)) && isequal (v, tan (u))) 1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/atand.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/atand.m +[inst/arrays/@stk_dataframe/size.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/size.m +***** shared x + x = stk_dataframe([1 2; 3 4; 5 6]); +***** assert (isequal (size(x), [3 2])) +***** assert (numel(x) == 1) +***** assert (ndims(x) == 2) +***** test size(x); % force exploration of branch nargout == 0 +4 tests, 4 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/sind.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sind.m ***** test - u = rand (4, 3); x = stk_dataframe (u); v = atand (x); - assert (strcmp (class (v), class (u)) && isequal (v, atand (u))) + u = rand (4, 3); x = stk_dataframe (u); v = sind (x); + assert (strcmp (class (v), class (u)) && isequal (v, sind (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/max.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/max.m @@ -3546,21 +6225,18 @@ [M, k] = max (x); assert ((M == 3) && (k == 2)); 8 tests, 8 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/sin.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sin.m -***** test - u = rand (4, 3); x = stk_dataframe (u); v = sin (x); - assert (strcmp (class (v), class (u)) && isequal (v, sin (u))) +[inst/arrays/@stk_dataframe/display.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/display.m +***** test display (stk_dataframe (rand (3, 2))); + + = <3x2 stk_dataframe array> + + : -------- -------- + * : 0.129911 0.706044 + * : 0.209725 0.625665 + * : 0.506361 0.688223 + 1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/mode.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mode.m -***** shared x1, df1 - x1 = floor(3 * rand(9, 3)); - df1 = stk_dataframe(x1, {'a', 'b', 'c'}); -***** assert (isequal (mode(df1), mode(x1))) -***** assert (isequal (mode(df1, 1), mode(x1))) -***** assert (isequal (mode(df1, 2), mode(x1, 2))) -3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_normalize.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_normalize.m ***** test @@ -3570,6 +6246,184 @@ assert (isa (y, 'stk_dataframe') ... && stk_isequal_tolabs (double (y), stk_normalize (u))) 1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/rdivide.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/rdivide.m +***** test stk_test_dfbinaryop(@rdivide, rand(7, 2), 1 + rand(7, 2)); +***** test stk_test_dfbinaryop(@rdivide, rand(7, 2), pi); +***** error stk_test_dfbinaryop(@rdivide, rand(7, 2), 1 + rand(7, 3)); +3 tests, 3 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/disp.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/disp.m +***** shared x, fmt + fmt = stk_disp_getformat (); + x = stk_dataframe (rand (3, 2)); +***** test format rat; disp (x); + : -------- -------- + * : 0.030750 0.905400 + * : 0.886400 0.027717 + * : 0.805845 0.581931 +***** test format long; disp (x); + : ---------------- ---------------- + * : 0.03074952530643 0.90540027723030 + * : 0.88639993923701 0.02771716540195 + * : 0.80584526041319 0.58193136079051 +***** test format short; disp (x); format (fmt); + : -------- -------- + * : 0.030750 0.905400 + * : 0.886400 0.027717 + * : 0.805845 0.581931 +***** test disp (stk_dataframe (zeros (0, 1))) + Empty data frame with 0 rows and 0 columns +***** test disp (stk_dataframe (zeros (0, 2))) + Empty data frame with 0 rows and 0 columns +5 tests, 5 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/cosh.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cosh.m +***** test + u = rand (4, 3); x = stk_dataframe (u); v = cosh (x); + assert (strcmp (class (v), class (u)) && isequal (v, cosh (u))) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/expm1.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/expm1.m +***** test + u = rand (4, 3); x = stk_dataframe (u); v = expm1 (x); + assert (strcmp (class (v), class (u)) && isequal (v, expm1 (u))) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/exp.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/exp.m +***** test + u = rand (4, 3); x = stk_dataframe (u); v = exp (x); + assert (strcmp (class (v), class (u)) && isequal (v, exp (u))) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/stk_dataframe.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_dataframe.m +***** test stk_test_class ('stk_dataframe') +***** test % default constructor + x = stk_dataframe (); + assert (isa (x, 'stk_dataframe') && isequal (size (x), [0 0])) +***** test + y = stk_dataframe (rand (3, 2)); + assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) +***** test + y = stk_dataframe (rand (3, 2), {'x', 'y'}); + assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) + assert (isequal (y.colnames, {'x' 'y'})) +***** test + y = stk_dataframe (rand (3, 2), {'x', 'y'}, {'a', 'b', 'c'}); + assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) + assert (isequal (y.colnames, {'x' 'y'})) + assert (isequal (y.rownames, {'a'; 'b'; 'c'})) +***** test + x = stk_dataframe (rand (3, 2)); + y = stk_dataframe (x); + assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) +***** error + x = stk_dataframe (rand (3, 2)); + y = stk_dataframe (x, pi); +***** error + x = stk_dataframe (rand (3, 2)); + y = stk_dataframe (x, {}, pi); +***** test + x = stk_dataframe (rand (3, 2)); + y = stk_dataframe (x, {'x' 'y'}); + assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) + assert (isequal (y.colnames, {'x' 'y'})) +***** test + x = stk_dataframe (rand (3, 2)); + y = stk_dataframe (x, {'x' 'y'}, {'a', 'b', 'c'}); + assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) + assert (isequal (y.colnames, {'x' 'y'})) + assert (isequal (y.rownames, {'a'; 'b'; 'c'})) +***** test + x = stk_dataframe (rand (3, 2), {'x' 'y'}); + y = stk_dataframe (x, [], {'a', 'b', 'c'}); + assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) + assert (isequal (y.colnames, {'x' 'y'})) + assert (isequal (y.rownames, {'a'; 'b'; 'c'})) +***** test + x = stk_dataframe (rand (3, 2), {'x' 'y'}); + y = stk_dataframe (x, {}, {'a', 'b', 'c'}); + assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) + assert (isequal (y.colnames, {})) + assert (isequal (y.rownames, {'a'; 'b'; 'c'})) +***** test + x = stk_factorialdesign ({1:3, 1:2}, {'x' 'y'}); + y = stk_dataframe (x, [], {'a' 'b' 'c' 'd' 'e' 'f'}); + assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) + assert (isequal (y.colnames, {'x' 'y'})) + assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) +***** test + x = stk_factorialdesign ({1:3, 1:2}, {}, {'a' 'b' 'c' 'd' 'e' 'f'}); + y = stk_dataframe (x, {'x' 'y'}); + assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) + assert (isequal (y.colnames, {'x' 'y'})) + assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) +***** test + x = stk_factorialdesign ({1:3, 1:2}, {}, {'a' 'b' 'c' 'd' 'e' 'f'}); + y = stk_dataframe (x, {'x' 'y'}, []); + assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) + assert (isequal (y.colnames, {'x' 'y'})) + assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) +***** test + x = stk_factorialdesign ({1:3, 1:2}, {'x' 'y'}, {'a' 'b' 'c' 'd' 'e' 'f'}); + y = stk_dataframe (x); + assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) + assert (isequal (y.colnames, {'x' 'y'})) + assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) +***** error + x = stk_factorialdesign ({1:3, 1:2}); + y = stk_dataframe (x, pi); +***** error + x = stk_factorialdesign ({1:3, 1:2}); + y = stk_dataframe (x, {}, pi); +***** test + x = stk_dataframe ([], {'a', 'b'}); + assert (isequal (size (x), [0 2])) + assert (isequal (x.colnames, {'a' 'b'})); + assert (isequal (x.rownames, {})); +***** test + x = stk_dataframe ([], {'a', 'b'}, {'toto'}); + assert (isequal (size (x), [1 2])) + assert (isequal (x.colnames, {'a' 'b'})); + assert (isequal (x.rownames, {'toto'})); +***** shared x +***** test + x = stk_dataframe (randn (10, 1), 'NOx'); + assert (isequal (x.colnames, {'NOx'})); +***** test + y = stk_dataframe (x, 'toto'); + assert (isequal (y.colnames, {'toto'})); +***** test + x = stk_dataframe (randn (1, 2), {}, 'aaa'); + assert (isequal (x.rownames, {'aaa'})); +***** test + y = stk_dataframe (x, {}, 'tata'); + assert (isequal (y.rownames, {'tata'})); +24 tests, 24 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/bsxfun.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/bsxfun.m +***** shared x1, x2, data1, data2 + x1 = rand (3, 2); data1 = stk_dataframe (x1); + x2 = rand (3, 2); data2 = stk_dataframe (x2); +***** test + z = bsxfun (@plus, data1, x2); + assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) +***** test + z = bsxfun (@plus, x1, data2); + assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) +***** test + z = bsxfun (@plus, data1, data2); + assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) +***** shared x, y + x = stk_dataframe (randn (2), {'x1', 'x2'}, {'a'; 'b'}); + y = stk_dataframe (randn (2), {'y1', 'y2'}, {'c'; 'd'}); +***** test z = x + y; + assert (isequal (z.colnames, x.colnames)); + assert (isequal (z.rownames, x.rownames)); +***** test z = y + x; + assert (isequal (z.colnames, y.colnames)); + assert (isequal (z.rownames, y.rownames)); +5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/vertcat.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/vertcat.m ***** shared u, v @@ -3602,7 +6456,7 @@ vertcat at line 82 column 9 __test__ at line 5 column 4 test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 406 column 31 + /tmp/tmp.dk3rcEETWE at line 1310 column 31 ***** test x = stk_dataframe (u); @@ -3632,24 +6486,12 @@ z = vertcat (y, x); assert (isequal (z.colnames, {'a' 'b' 'c'})) 10 tests, 10 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/mldivide.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mldivide.m -***** test - x1_data = [57 7; 2 0]; - x1 = stk_dataframe (x1_data, {'x' 'y'}, {'a'; 'b'}); - x2_data = [8 7; 2 0]; - x2 = stk_dataframe (x2_data, {'w' 'z'}, {'a'; 'b'}); - y = x2 \ x1; - assert (stk_isequal_tolabs (y, ... - stk_dataframe ([1 0; 7 1], {'x'; 'y'}, {'w'; 'z'}))); -***** shared x_data, x, y_data, y - x_data = [3 3; 6 3; 9 12]; - y_data = [1 1; 2 1; 3 4]; - x = stk_dataframe (x_data, {'x' 'y'}, {'a'; 'b'; 'c'}); -***** test y = 3 \ x; -***** assert (isequal (y, stk_dataframe (y_data, {'x' 'y'}, {'a'; 'b'; 'c'}))); -***** error y = x \ 3; -4 tests, 4 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_dataframe/times.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/times.m +***** test stk_test_dfbinaryop(@times, rand(7, 2), rand(7, 2)); +***** test stk_test_dfbinaryop(@times, rand(7, 2), pi); +***** error stk_test_dfbinaryop(@times, rand(7, 2), rand(7, 3)); +3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_boundingbox.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_boundingbox.m ***** shared x, y, cn @@ -3659,354 +6501,97 @@ ***** test y = stk_boundingbox (x); ***** assert (isequal (y, stk_hrect ([0 0 1; 7 4 2], cn))); 3 tests, 3 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/stk_get_sample_size.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/stk_get_sample_size.m -***** test - x = stk_dataframe ([1 2; 3 4; 5 6]); - assert (isequal (stk_get_sample_size (x), 3)); -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/mtimes.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mtimes.m -***** shared x, y, z, w - - u = [1 3 4; 2 7 6]; % 2 x 3 - v = [6 2; 1 7; 9 4]; % 3 x 2 - w = [45 39; 73 77]; % u * v - - x = stk_dataframe (u, {}, {'a'; 'b'}); - y = stk_dataframe (v, {'c' 'd'}); - z = x * y; -***** assert (isa (z, 'stk_dataframe')); -***** assert (isequal (z.data, w)); -***** assert (isequal (z.rownames, x.rownames)); -***** assert (isequal (z.colnames, y.colnames)); -***** shared x, y - x = stk_dataframe (rand (3, 2), {'x' 'y'}, {'a'; 'b'; 'c'}); -***** test y = 3 * x; -***** assert (isequal (y, stk_dataframe (3 * x.data, {'x' 'y'}, {'a'; 'b'; 'c'}))); -***** test y = x * 3; -***** assert (isequal (y, stk_dataframe (3 * x.data, {'x' 'y'}, {'a'; 'b'; 'c'}))); -8 tests, 8 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/acosh.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/acosh.m -***** test - u = rand (4, 3); x = stk_dataframe (u); v = acosh (x); - assert (strcmp (class (v), class (u)) && isequal (v, acosh (u))) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/asinh.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/asinh.m +[inst/arrays/@stk_dataframe/isfinite.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/isfinite.m ***** test - u = rand (4, 3); x = stk_dataframe (u); v = asinh (x); - assert (strcmp (class (v), class (u)) && isequal (v, asinh (u))) + u = [pi, NaN, Inf, -Inf]; x = stk_dataframe (u); v = isfinite (x); + assert (islogical (v) && isequal (v, isfinite (u))) 1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/std.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/std.m -***** shared x1, df1 - x1 = rand(9, 3); - df1 = stk_dataframe(x1, {'a', 'b', 'c'}); -***** assert (isequal (std(df1), std(x1))) -***** assert (isequal (std(df1, 0, 1), std(x1))) -***** assert (isequal (std(df1, 0, 2), std(x1, 0, 2))) -***** assert (isequal (std(df1, 1), std(x1, 1))) -***** assert (isequal (std(df1, 1, 1), std(x1, 1))) -***** assert (isequal (std(df1, 1, 2), std(x1, 1, 2))) -6 tests, 6 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/var.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/var.m +[inst/arrays/@stk_dataframe/mean.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/mean.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); -***** assert (isequal (var(df1), var(x1))) -***** assert (isequal (var(df1, 0, 1), var(x1))) -***** assert (isequal (var(df1, 0, 2), var(x1, 0, 2))) -***** assert (isequal (var(df1, 1), var(x1, 1))) -***** assert (isequal (var(df1, 1, 1), var(x1, 1))) -***** assert (isequal (var(df1, 1, 2), var(x1, 1, 2))) -6 tests, 6 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/log10.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log10.m -***** test - u = rand (4, 3); x = stk_dataframe (u); v = log10 (x); - assert (strcmp (class (v), class (u)) && isequal (v, log10 (u))) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/times.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/times.m -***** test stk_test_dfbinaryop(@times, rand(7, 2), rand(7, 2)); -***** test stk_test_dfbinaryop(@times, rand(7, 2), pi); -***** error stk_test_dfbinaryop(@times, rand(7, 2), rand(7, 3)); -3 tests, 3 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/horzcat.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/horzcat.m -***** shared u, v - u = rand(3, 2); - v = rand(3, 2); -***** test - x = stk_dataframe(u, {'x1' 'x2'}); - y = stk_dataframe(v, {'y1' 'y2'}); - z = horzcat (x, y); - assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); - assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); -***** test - x = stk_dataframe(u, {'x1' 'x2'}, {'a'; 'b'; 'c'}); - y = stk_dataframe(v, {'y1' 'y2'}); - z = horzcat (x, y); - assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); - assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); - assert(all(strcmp(z.rownames, {'a'; 'b'; 'c'}))); -***** test - x = stk_dataframe(u, {'x1' 'x2'}); - y = stk_dataframe(v, {'y1' 'y2'}, {'a'; 'b'; 'c'}); - z = horzcat (x, y); - assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); - assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); - assert(all(strcmp(z.rownames, {'a'; 'b'; 'c'}))); -***** test % incompatible row names - x = stk_dataframe (u, {'x1' 'x2'}, {'a'; 'b'; 'c'}); - y = stk_dataframe (v, {'y1' 'y2'}, {'a'; 'b'; 'd'}); - z = horzcat (x, y); - assert (isequal (z.rownames, {})); -warning: Incompatible row names ! -The output of horzcat will have no row names. -warning: called from - horzcat at line 73 column 9 - __test__ at line 5 column 4 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 494 column 31 - -***** test - x = stk_dataframe (u); - z = horzcat (x, v); - assert (isa (z, 'stk_dataframe') && isequal (double (z), [u v])); -***** test - y = stk_dataframe (v); - z = horzcat (u, y); - assert (isa (z, 'stk_dataframe') && isequal (double (z), [u v])); -***** test - x = stk_dataframe(u, {'x1' 'x2'}); - y = stk_dataframe(v, {'y1' 'y2'}); - z = horzcat (x, y, u, v); - assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v u v])); -7 tests, 7 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/double.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/double.m -***** test - u = rand(4, 3); - x = stk_dataframe(u); - v = double(x); - assert (strcmp(class(v), 'double') && isequal(v, u)) -***** test - u = (rand(4, 3) < 0.5); - x = stk_dataframe(u); - v = double(x); - assert (strcmp(class(v), 'double') && isequal(v, double(u))) -***** test - u = uint8 (rand (4, 3) * 5); - x = stk_dataframe(u); - v = double(x); - assert (strcmp(class(v), 'double') && isequal(v, double(u))) +***** assert (isequal (mean(df1), mean(x1))) +***** assert (isequal (mean(df1, 1), mean(x1))) +***** assert (isequal (mean(df1, 2), mean(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/subsref.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/subsref.m -***** shared x, s, t, data - x = stk_dataframe(rand(3, 2)); - s = {'a'; 'b'; 'c'}; - t = {'xx' 'yy'}; -***** test - x = set(x, 'rownames', s); - assert (isequal (x.rownames, s)) - assert (isequal (x.rownames{2}, 'b')) -***** test - x = set(x, 'colnames', t); - assert (isequal (x.rownames, s)) - assert (isequal (x.colnames, t)) - assert (isequal (x.colnames{2}, 'yy')) -***** shared u, data - u = rand(3, 2); - data = stk_dataframe(u, {'x1', 'x2'}); -***** assert (isequal (data.x2, u(:, 2))) -***** assert (data.x2(3) == u(3, 2)) -***** error t = data.toto; -***** error t = data(1, 1).zzz; % illegal multilevel indexing -***** error t = data(1, 1, 1); % too many indices -***** error t = data{1}; % curly braces not allowed -***** test % select rows and columns - x = stk_dataframe (reshape (1:15, 5, 3), {'u' 'v' 'w'}); - assert (isequal (x([3 5], 2), stk_dataframe ([8; 10], {'v'}))); -***** shared u, data - u = rand(3, 1); data = stk_dataframe(u, {'x'}); -***** assert (isequal (data.x, u)) -***** assert (isequal (double (data), u)) -***** assert (isequal (double (data(2)), u(2))) -***** assert (isequal (double (data(3, 1)), u(3))) -***** error t = data(1, 1, 1); % too many indices -***** test - x = stk_dataframe (randn (2, 2), {'u' 'v'}); - y = x ([], :); - assert (isa (y, 'stk_dataframe')); - assert (isequal (size (y), [0 2])); - assert (isequal (y.colnames, {'u' 'v'})); -***** test - x = stk_dataframe (randn (2, 2), [], {'a' 'b'}); - y = x (:, []); - assert (isa (y, 'stk_dataframe')); - assert (isequal (size (y), [2 0])); - assert (isequal (y.rownames, {'a'; 'b'})); -16 tests, 16 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/log1p.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/log1p.m -***** test - u = rand (4, 3); x = stk_dataframe (u); v = log1p (x); - assert (strcmp (class (v), class (u)) && isequal (v, log1p (u))) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/rdivide.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/rdivide.m -***** test stk_test_dfbinaryop(@rdivide, rand(7, 2), 1 + rand(7, 2)); -***** test stk_test_dfbinaryop(@rdivide, rand(7, 2), pi); -***** error stk_test_dfbinaryop(@rdivide, rand(7, 2), 1 + rand(7, 3)); +[inst/arrays/@stk_dataframe/minus.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/minus.m +***** test stk_test_dfbinaryop(@minus, rand(7, 2), rand(7, 2)); +***** test stk_test_dfbinaryop(@minus, rand(7, 2), pi); +***** error stk_test_dfbinaryop(@minus, rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/min.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/min.m -***** test stk_test_dfbinaryop ('min', rand(7, 2), rand(7, 2)); -***** test stk_test_dfbinaryop ('min', rand(7, 2), pi); -***** error stk_test_dfbinaryop ('min', rand(7, 2), rand(7, 3)); -***** shared x1, df1 - x1 = rand(9, 3); - df1 = stk_dataframe(x1, {'a', 'b', 'c'}); -***** assert (isequal (min(df1), min(x1))) -***** assert (isequal (min(df1, [], 1), min(x1))) -***** assert (isequal (min(df1, [], 2), min(x1, [], 2))) -***** error (min(df1, df1, 2)) -***** test - x = stk_dataframe ([5; 2; 4]); - [M, k] = min (x); - assert ((M == 2) && (k == 2)); +[inst/arrays/@stk_dataframe/end.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/end.m +***** shared x + x = stk_dataframe ([1; 2; 3]); +***** assert (isequal (double (x(2:end, :)), [2; 3])) +***** assert (isequal (double (x(2:end)), [2; 3])) +***** assert (isequal (double (x(2, 1:end)), 2)) +***** assert (isequal (double (x(end)), 3)) +***** shared x + x = stk_dataframe ([1 2; 3 4; 5 6]); +***** assert (isequal (x(2:end, :), x(2:3, :))) +***** assert (isequal (x(2, 1:end), x(2, :))) +***** assert (isequal (x(2:end, 2:end), x(2:3, 2))) +***** error x(1:end, 1:end, 1:end) 8 tests, 8 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/cat.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/cat.m -***** shared u, v, x, y - u = rand(3, 2); - v = rand(3, 2); - x = stk_dataframe(u); - y = stk_dataframe(v); -***** test % vertical - z = cat(1, x, y); - assert(isa(z, 'stk_dataframe')); - assert(isequal(double(z), [u; v])); -***** error z = cat(3, x, y); -***** test % horizontal - y = stk_dataframe(v, {'y1' 'y2'}); - z = cat(2, x, y); - assert(isa(z, 'stk_dataframe')); - assert(isequal(double(z), [u v])); - assert(all(strcmp(z.colnames, {'' '' 'y1' 'y2'}))); +[inst/arrays/@stk_dataframe/power.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/power.m +***** test stk_test_dfbinaryop(@power, rand(7, 2), .1 + rand(7, 2)); +***** test stk_test_dfbinaryop(@power, rand(7, 2), .1); +***** error stk_test_dfbinaryop(@power, rand(7, 2), .1 + rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/apply.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/apply.m -***** shared x, t, u - t = rand (3, 2); - x = stk_dataframe (t); -***** test u = apply (x, 1, @sum); -***** assert (isequal (u, sum (t, 1))) -***** test u = apply (x, 2, @sum); -***** assert (isequal (u, sum (t, 2))) -***** error u = apply (x, 3, @sum); -***** test u = apply (x, 1, @min, []); -***** assert (isequal (u, min (t, [], 1))) -***** test u = apply (x, 2, @min, []); -***** assert (isequal (u, min (t, [], 2))) -***** error u = apply (x, 3, @min, []); -***** test - t = [1; 3; 2]; - x = stk_dataframe (t); - [M, k] = apply (x, 1, @max, []); - assert ((M == 3) && (k == 2)); -11 tests, 11 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/sort.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sort.m -***** shared x, y - x = stk_dataframe ([3; 2; 1], {}, {'a', 'b', 'c'}); - y = sort (x); -***** assert (strcmp (class (y), 'stk_dataframe')) -***** assert (isequal (y.data, [1; 2; 3])) -***** assert (isequal (y.rownames, {'c'; 'b'; 'a'})) -***** error y = sort (x, []); -***** assert (isequal (sort (x, 1), y)) -***** assert (isequal (sort (x, 2), x)) -***** error sort (x, 3) -***** error y = sort (x, [], 'ascend'); -***** assert (isequal (sort (x, 1, 'ascend'), y)) -***** assert (isequal (sort (x, 2, 'ascend'), x)) -***** error y = sort (x, 3, 'ascend'); -***** error y = sort (x, [], 'descend'); -***** assert (isequal (sort (x, 1, 'descend'), x)) -***** assert (isequal (sort (x, 2, 'descend'), x)) -***** error sort (x, 3, 'descend') -15 tests, 15 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/sqrt.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sqrt.m +[inst/arrays/@stk_hrect/subsref.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/subsref.m ***** test - u = rand (4, 3); x = stk_dataframe (u); v = sqrt (x); - assert (strcmp (class (v), class (u)) && isequal (v, sqrt (u))) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/acosd.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/acosd.m + B = stk_hrect ([0 0 0 0; 1 2 3 4]); + B = B(:, [1 3 4]); + assert (strcmp (class (B), 'stk_hrect')); + assert (isequal (double (B), [0 0 0; 1 3 4])); ***** test - u = rand (4, 3); x = stk_dataframe (u); v = acosd (x); - assert (strcmp (class (v), class (u)) && isequal (v, acosd (u))) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/sinh.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/sinh.m + B = stk_hrect ([0 0 0 0; 1 2 3 4]); + B = B(1, :); + assert (strcmp (class (B), 'stk_dataframe')); + assert (isequal (double (B), [0 0 0 0])); +2 tests, 2 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_hrect/horzcat.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/horzcat.m +***** shared d, x1, x2, x3 + d = 10; + x1 = stk_hrect (d); + x2 = double (x1); + x3 = [1:d; 0:(d-1)]; % illegal bounds ***** test - u = rand (4, 3); x = stk_dataframe (u); v = sinh (x); - assert (strcmp (class (v), class (u)) && isequal (v, sinh (u))) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/exp.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/exp.m + y1 = horzcat (x1, x1); + assert (isequal (size (y1), [2 2*d])); + assert (strcmp (class (y1), 'stk_hrect')); ***** test - u = rand (4, 3); x = stk_dataframe (u); v = exp (x); - assert (strcmp (class (v), class (u)) && isequal (v, exp (u))) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/size.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/size.m -***** shared x - x = stk_dataframe([1 2; 3 4; 5 6]); -***** assert (isequal (size(x), [3 2])) -***** assert (numel(x) == 1) -***** assert (ndims(x) == 2) -***** test size(x); % force exploration of branch nargout == 0 -4 tests, 4 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/asin.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/asin.m + y2 = horzcat (x1, x2); + assert (isequal (size (y2), [2 2*d])); + assert (strcmp (class (y2), 'stk_hrect')); ***** test - u = rand (4, 3); x = stk_dataframe (u); v = asin (x); - assert (strcmp (class (v), class (u)) && isequal (v, asin (u))) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/atanh.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/atanh.m + y3 = horzcat (x2, x1); + assert (isequal (size (y3), [2 2*d])); + assert (strcmp (class (y3), 'stk_hrect')); ***** test - u = rand (4, 3); x = stk_dataframe (u); v = atanh (x); - assert (strcmp (class (v), class (u)) && isequal (v, atanh (u))) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/display.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/display.m -***** test display (stk_dataframe (rand (3, 2))); - - = <3x2 stk_dataframe array> - - : -------- -------- - * : 0.382734 0.337795 - * : 0.459925 0.797224 - * : 0.911581 0.815551 + lastwarn ('') + y4 = horzcat (x1, x3); + assert (isequal (size (y4), [2 2*d])); + assert (strcmp (class (y4), 'stk_dataframe')); + [warn_msg, warn_id] = lastwarn (); + assert (strcmp (warn_id, 'STK:stk_hrect:horzcat:IllegalBounds')) +warning: Illegal bounds, the result is not an stk_hrect object. +warning: called from + horzcat at line 47 column 9 + __test__ at line 4 column 5 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 1382 column 31 -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_dataframe/realpow.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_dataframe/realpow.m -***** test stk_test_dfbinaryop(@realpow, rand(7, 2), .1 + rand(7, 2)); -***** test stk_test_dfbinaryop(@realpow, rand(7, 2), .1); -***** error stk_test_dfbinaryop(@realpow, rand(7, 2), .1 + rand(7, 3)); -3 tests, 3 passed, 0 known failure, 0 skipped -[inst/arrays/generic/stk_rescale.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_rescale.m +4 tests, 4 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_hrect/stk_rescale.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_rescale.m ***** shared x x = rand (10, 4); y = stk_rescale (x, [], []); @@ -4024,342 +6609,6 @@ y = stk_rescale (0.5, [0; 2], [0; 1]); assert (stk_isequal_tolabs (y, 0.25)); 4 tests, 4 passed, 0 known failure, 0 skipped -[inst/arrays/generic/stk_length.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_length.m -***** assert (isequal (stk_length ([1 2; 3 4; 5 6]), 3)); -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/generic/stk_normalize.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_normalize.m -***** shared x, box, y1, y2, y3, y4 - n = 5; box = [2; 3]; x = box(1) + diff (box) * rand (n, 1); -***** error y1 = stk_normalize (); -***** test y2 = stk_normalize (x); -***** test y3 = stk_normalize (x, box); -***** test assert (~ any ((y2 < -10 * eps) | (y2 > 1 + 10 * eps))); -***** test assert (~ any ((y3 < -10 * eps) | (y3 > 1 + 10 * eps))); -5 tests, 5 passed, 0 known failure, 0 skipped -[inst/arrays/generic/stk_feval.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_feval.m -***** shared f, xt - f = @(x)(- (0.7 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); - xt = stk_sampling_regulargrid (20, 1, [0; 1]); -***** error yt = stk_feval (); -***** error yt = stk_feval (f); -***** test yt = stk_feval (f, xt); -***** test yt = stk_feval (f, xt, false); -***** test yt = stk_feval (f, xt, false, false); -***** test yt = stk_feval (f, xt, false, false, false); -***** test - N = 15; - xt = stk_sampling_regulargrid (N, 1, [0; 1]); - yt = stk_feval (f, xt); - assert (isequal (size (yt), [N 1])); -***** test - x = stk_dataframe ([1; 2; 3], {'x'}, {'a'; 'b'; 'c'}); - y = stk_feval (@(u)(2 * u), x); - assert (isequal (y.data, [2; 4; 6])); - assert (isequal (y.rownames, {'a'; 'b'; 'c'})); -***** shared t, z_ref, n - n = 20; - t = stk_sampling_regulargrid (n, 1, [0; 2*pi]); - z_ref = [sin(t.data) cos(t.data)]; -***** test - t.colnames = {'time'}; - z = stk_feval ({@sin, @cos}, t); - assert (isa (z, 'stk_dataframe')); - assert (isequal (z.data, z_ref)); -***** test - F = @(x)([sin(x) cos(x)]); - z = stk_feval (F, t); - assert (isequal (z.data, z_ref)); -***** test - t = stk_sampling_regulargrid (n, 1, [0; 2*pi]); - F = {'sin', 'cos'}; - z = stk_feval (F, t); - assert (isequal (z.data, [sin(t.data) cos(t.data)])); - assert (isequal (z.colnames, {'sin' 'cos'})); -***** test % vectorized - F = @(t)([sin(t) cos(t)]); - G = @(t)(0.365 * t.^2 + (cos ((t - 1).*(t - 2) + 0.579033))); - z = stk_feval ({@sin, @cos, G, F, 'tan'}, t); - assert (isequal (z.colnames, {'sin' 'cos' 'F3' 'F4_1' 'F4_2' 'tan'})); -***** test % not vectorized - F = @(t)([sin(t) cos(t)]); - G = @(t)(0.365 * t^2 + (cos ((t - 1)*(t - 2) + 0.579033))); - z = stk_feval ({@sin, @cos, G, F, 'tan'}, t, [], [], false); - assert (isequal (z.colnames, {'sin' 'cos' 'F3' 'F4_1' 'F4_2' 'tan'})); -13 tests, 13 passed, 0 known failure, 0 skipped -[inst/arrays/generic/stk_boundingbox.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_boundingbox.m -***** shared x, y, cn - cn = {'a', 'b', 'c'}; - x = [0 3 2; 1 4 1; 7 0 2]; -***** error y = stk_boundingbox (); -***** test y = stk_boundingbox (x); -***** assert (isequal (y.data, [0 0 1; 7 4 2])); -3 tests, 3 passed, 0 known failure, 0 skipped -[inst/arrays/generic/stk_get_sample_size.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/generic/stk_get_sample_size.m -***** assert (stk_get_sample_size ([1 2; 3 4; 5 6]) == 3); -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_factorialdesign/ismember.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/ismember.m -***** shared A, B, BB, b - - i_max = 10; n = 100; d = 5; - - A = randi (i_max, n, d); - - levels = repmat ({1:i_max}, 1, d); - levels{4} = 1:2:i_max; - B = stk_factorialdesign (levels); - - BB = double (B); -***** test b = ismember (A, B); -***** assert (isequal (b, ismember (A, BB))); -***** test b = ismember (A, B, 'rows'); -***** assert (isequal (b, ismember (A, BB, 'rows'))); -4 tests, 4 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_factorialdesign/stk_dataframe.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_dataframe.m -***** shared x, cn, rn, y, cn2, rn2 - cn = {'x' 'y'}; - rn = {'a'; 'b'; 'c'; 'd'}; - x = stk_factorialdesign ({1:2, 1:2}, cn, rn); - cn2 = {'xx' 'yy'}; - rn2 = {'aa'; 'bb'; 'cc'; 'dd'}; -***** test y = stk_dataframe (x); -***** assert (strcmp (class (y), 'stk_dataframe')) -***** assert (isequal (y.colnames, cn)) -***** assert (isequal (y.rownames, rn)) -***** test y = stk_dataframe (x, cn2); -***** assert (strcmp (class (y), 'stk_dataframe')) -***** assert (isequal (y.colnames, cn2)) -***** assert (isequal (y.rownames, rn)) -***** test y = stk_dataframe (x, cn2, rn2); -***** assert (strcmp (class (y), 'stk_dataframe')) -***** assert (isequal (y.colnames, cn2)) -***** assert (isequal (y.rownames, rn2)) -***** test y = stk_dataframe (x, [], rn2); -***** assert (strcmp (class (y), 'stk_dataframe')) -***** assert (isequal (y.colnames, cn)) -***** assert (isequal (y.rownames, rn2)) -***** test y = stk_dataframe (x, {}, rn2); -***** assert (strcmp (class (y), 'stk_dataframe')) -***** assert (isequal (y.colnames, {})) -***** assert (isequal (y.rownames, rn2)) -20 tests, 20 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_factorialdesign/fieldnames.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/fieldnames.m -***** test - x = stk_factorialdesign ({0:1, 3:5}, {'u' 'v'}); - fn1 = sort (fieldnames (x)); - fn2 = {'colnames'; 'data'; 'info'; 'levels'; ... - 'rownames'; 'sample_size'; 'stk_dataframe'; 'u'; 'v'}; - assert (isequal (fn1, fn2)); -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_factorialdesign/stk_factorialdesign.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_factorialdesign.m -***** test stk_test_class ('stk_factorialdesign') -***** test % constructor with two factors + column names - x = stk_factorialdesign ({[0 1], [1 2 3]}, {'a', 'b'}); - assert (isequal(x.colnames, {'a', 'b'})); - assert (isequal(get (x, 'colnames'), {'a', 'b'})); -***** error stk_factorialdesign ('bouh'); -***** error stk_factorialdesign ({{'a' 'b'}}); -***** shared x, fmt - fmt = stk_disp_getformat (); - x = stk_sampling_regulargrid (3^2, 2); -***** test format rat; disp (x); - : --- --- - * : 0.0 0.0 - * : 0.5 0.0 - * : 1.0 0.0 - * : 0.0 0.5 - * : 0.5 0.5 - * : 1.0 0.5 - * : 0.0 1.0 - * : 0.5 1.0 - * : 1.0 1.0 -***** test format long; disp (x); - : --- --- - * : 0.0 0.0 - * : 0.5 0.0 - * : 1.0 0.0 - * : 0.0 0.5 - * : 0.5 0.5 - * : 1.0 0.5 - * : 0.0 1.0 - * : 0.5 1.0 - * : 1.0 1.0 -***** test format short; disp (x); format (fmt); - : --- --- - * : 0.0 0.0 - * : 0.5 0.0 - * : 1.0 0.0 - * : 0.0 0.5 - * : 0.5 0.5 - * : 1.0 0.5 - * : 0.0 1.0 - * : 0.5 1.0 - * : 1.0 1.0 -***** test disp (stk_sampling_regulargrid (0^1, 1)); - Empty data frame with 0 rows and 0 columns -***** test disp (stk_sampling_regulargrid (0^2, 2)); - Empty data frame with 0 rows and 0 columns -***** test display (x); - -x = <9x2 stk_factorialdesign array> - - : --- --- - * : 0.0 0.0 - * : 0.5 0.0 - * : 1.0 0.0 - * : 0.0 0.5 - * : 0.5 0.5 - * : 1.0 0.5 - * : 0.0 1.0 - * : 0.5 1.0 - * : 1.0 1.0 - -***** error length (stk_sampling_regulargrid (7^2, 2)) % not defined -***** shared x - x = stk_factorialdesign ({[0 1], [0 1]}); -***** assert (isequal (x(2:end, :), x(2:4, :))) -***** assert (isequal (x(2, 1:end), x(2, :))) -***** assert (isequal (x(2:end, 2:end), x(2:4, 2))) -***** error x(1:end, 1:end, 1:end) -***** shared x, y - x = stk_sampling_regulargrid (3^2, 2); - y = x; -***** test %%%% vercat - z = vertcat (x, y); - assert (strcmp (class (z), 'stk_dataframe')); - assert (isequal (double (z), [double(x); double(y)])); -***** test %%%% same thing, using cat(1, ...) - z = cat (1, x, y); - assert (strcmp (class (z), 'stk_dataframe')); - assert (isequal (double (z), [double(x); double(y)])); -***** test %%%% horzcat - y.colnames = {'y1' 'y2'}; z = horzcat (x, y); - assert (strcmp (class (z), 'stk_dataframe')); - assert (isequal (double (z), [double(x) double(y)])); -***** test %%%% same thing, using cat (2, ...) - z = cat (2, x, y); - assert (strcmp (class (z), 'stk_dataframe')); - assert (isequal (double (z), [double(x) double(y)])); -***** error cat (3, x, y) -***** shared x, t - x = stk_sampling_regulargrid (3^2, 2); - t = double (x); -***** assert (isequal (apply (x, 1, @sum), sum (t, 1))) -***** assert (isequal (apply (x, 2, @sum), sum (t, 2))) -***** error u = apply (x, 3, @sum); -***** assert (isequal (apply (x, 1, @min, []), min (t, [], 1))) -***** assert (isequal (apply (x, 2, @min, []), min (t, [], 2))) -***** error u = apply (x, 3, @min, []); -***** assert (isequal (min (x), min (t))) -***** assert (isequal (max (x), max (t))) -***** assert (isequal (std (x), std (t))) -***** assert (isequal (var (x), var (t))) -***** assert (isequal (sum (x), sum (t))) -***** assert (isequal (mean (x), mean (t))) -***** assert (isequal (mode (x), mode (t))) -***** assert (isequal (prod (x), prod (t))) -***** assert (isequal (median (x), median (t))) -***** shared x1, x2, x3, u1, u2, u3 - x1 = stk_sampling_regulargrid ([4 3], 2); u1 = double (x1); - x2 = stk_sampling_regulargrid ([3 4], 2); u2 = double (x2); - x3 = x1 + 1; u3 = u1 + 1; -***** test - z = bsxfun (@plus, x1, u2); - assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) -***** test - z = bsxfun (@plus, u1, x2); - assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) -***** test - z = bsxfun (@plus, x1, x2); - assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) -***** test z = min (x1, x2); assert (isequal (double (z), min (u1, u2))); -***** test z = max (x1, x2); assert (isequal (double (z), max (u1, u2))); -***** error z = min (x1, x2, 1); -***** error z = max (x1, x2, 1); -***** test z = x1 + x2; assert (isequal (double (z), u1 + u2)); -***** test z = x1 - x2; assert (isequal (double (z), u1 - u2)); -***** test z = x1 .* x2; assert (isequal (double (z), u1 .* u2)); -***** test z = x3 .\ x2; assert (isequal (double (z), u3 .\ u2)); -***** test z = x2 ./ x3; assert (isequal (double (z), u2 ./ u3)); -***** test z = x3 .^ x2; assert (isequal (double (z), u3 .^ u2)); -***** test z = realpow (x3, x2); assert (isequal (double (z), realpow (u3, u2))); -***** test z = (x1 == x2); assert (isequal (double (z), (u1 == u2))); -***** test z = (x1 ~= x2); assert (isequal (double (z), (u1 ~= u2))); -***** test z = (x1 <= x2); assert (isequal (double (z), (u1 <= u2))); -***** test z = (x1 >= x2); assert (isequal (double (z), (u1 >= u2))); -***** test z = (x1 < x2); assert (isequal (double (z), (u1 < u2))); -***** test z = (x1 > x2); assert (isequal (double (z), (u1 > u2))); -***** test z = x1 & x2; assert (isequal (double (z), u1 & u2)); -***** test z = x1 | x2; assert (isequal (double (z), u1 | u2)); -***** test z = xor (x1, x2); assert (isequal (double (z), xor (u1, u2))); -***** shared x - x = stk_factorialdesign ({[0 1], [0 1 2]}); -***** assert (strcmp (class (x'), 'stk_dataframe')) -***** assert (strcmp (class (x.'), 'stk_dataframe')) -60 tests, 60 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_factorialdesign/stk_rescale.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_rescale.m -***** test - x = stk_factorialdesign ({[1 2], [5 6]}); - y = stk_factorialdesign ({[0 3], [0 3]}); - z = stk_rescale (x, [1 5; 2 6], [0 0; 3 3]); - assert (stk_isequal_tolabs (y, z)) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_factorialdesign/ndgrid.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/ndgrid.m -***** shared data - data = stk_factorialdesign ({[0 1], [5 6 7]}); -***** test % nargout = 0 - ndgrid (data); - assert (isequal (ans, [0 0 0; 1 1 1])); -***** test % nargout = 1 - x = ndgrid (data); - assert (isequal (x, [0 0 0; 1 1 1])); -***** test % nargout = 2 - [x, y] = ndgrid (data); - assert (isequal ({x, y}, {[0 0 0; 1 1 1], [5 6 7; 5 6 7]})); -***** error % nargout = 3 - [x, y, z] = ndgrid (data); -***** test - data = stk_factorialdesign ({[], []}); - [x, y] = ndgrid (data); - assert (isequal ({x, y}, {[], []})); -***** test - data = stk_factorialdesign ({[1:3]}); - x = ndgrid (data); - assert (isequal (x, [1; 2; 3])); -6 tests, 6 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_factorialdesign/uminus.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/uminus.m -***** test - x = stk_factorialdesign ({1:3, 1:2}); - y = stk_factorialdesign ({-(1:3), -(1:2)}); - assert (isequal (-x, y)) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_factorialdesign/stk_normalize.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_normalize.m -***** test - x = stk_factorialdesign ({[1 2], [5 6]}); - y = stk_factorialdesign ({[0 1], [0 1]}); - assert (stk_isequal_tolabs (stk_normalize (x), y)) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_factorialdesign/stk_boundingbox.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_factorialdesign/stk_boundingbox.m -***** shared x, y, cn - cn = {'a', 'b', 'c'}; - x = stk_factorialdesign ({[1 2], [3 4 5], [0 2 8]}, cn); -***** error y = stk_boundingbox (); -***** test y = stk_boundingbox (x); -***** assert (isequal (y, stk_hrect ([1 3 0; 2 5 8], cn))); -3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/ismember.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/ismember.m ***** shared n, box @@ -4374,6 +6623,26 @@ y = double (box); y = [y; y + 2]; assert (isequal (ismember (y, box), [1; 1; 0; 0])) 6 tests, 6 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_hrect/stk_normalize.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_normalize.m +***** shared x, box, y1, y2, y3, y4 + n = 5; box = stk_hrect ([2; 3]); + x = 2 + rand (n, 1); +***** error y1 = stk_normalize (); +***** test y2 = stk_normalize (x); +***** test y3 = stk_normalize (x, box); +***** test assert (~ any ((y2 < -10 * eps) | (y2 > 1 + 10 * eps))); +***** test assert (~ any ((y3 < -10 * eps) | (y3 > 1 + 10 * eps))); +5 tests, 5 passed, 0 known failure, 0 skipped +[inst/arrays/@stk_hrect/stk_hrect.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_hrect.m +***** test stk_test_class ('stk_hrect') +***** shared dom +***** test dom = stk_hrect ([-1; 1], {'x'}); +***** assert (isequal (dom.colnames, {'x'})) +***** assert (isequal (dom.rownames, {'lower_bounds'; 'upper_bounds'})) +***** assert (isequal (dom.data, [-1; 1])) +5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_dataframe.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_dataframe.m ***** shared x, cn, rn, y, cn2, rn2 @@ -4403,36 +6672,6 @@ ***** assert (isequal (y.colnames, {})) ***** assert (isequal (y.rownames, rn2)) 20 tests, 20 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_hrect/stk_rescale.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_rescale.m -***** shared x - x = rand (10, 4); - y = stk_rescale (x, [], []); - assert (stk_isequal_tolabs (x, y)); -***** test - y = stk_rescale(0.5, [], [0; 2]); - assert (stk_isequal_tolabs (y, 1.0)); -***** test - y = stk_rescale (0.5, [0; 1], [0; 2]); - assert (stk_isequal_tolabs (y, 1.0)); -***** test - y = stk_rescale (0.5, [0; 2], []); - assert (stk_isequal_tolabs (y, 0.25)); -***** test - y = stk_rescale (0.5, [0; 2], [0; 1]); - assert (stk_isequal_tolabs (y, 0.25)); -4 tests, 4 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_hrect/stk_normalize.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_normalize.m -***** shared x, box, y1, y2, y3, y4 - n = 5; box = stk_hrect ([2; 3]); - x = 2 + rand (n, 1); -***** error y1 = stk_normalize (); -***** test y2 = stk_normalize (x); -***** test y3 = stk_normalize (x, box); -***** test assert (~ any ((y2 < -10 * eps) | (y2 > 1 + 10 * eps))); -***** test assert (~ any ((y3 < -10 * eps) | (y3 > 1 + 10 * eps))); -5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/vertcat.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/vertcat.m ***** shared d, x, y @@ -4452,15 +6691,6 @@ assert (isequal (size (z), [4 d])); assert (strcmp (class (z), 'stk_dataframe')); 3 tests, 3 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_hrect/stk_hrect.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_hrect.m -***** test stk_test_class ('stk_hrect') -***** shared dom -***** test dom = stk_hrect ([-1; 1], {'x'}); -***** assert (isequal (dom.colnames, {'x'})) -***** assert (isequal (dom.rownames, {'lower_bounds'; 'upper_bounds'})) -***** assert (isequal (dom.data, [-1; 1])) -5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_boundingbox.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/stk_boundingbox.m ***** shared x, y @@ -4472,703 +6702,61 @@ ***** test y = stk_boundingbox (x); ***** assert (isequal (y, x)); 3 tests, 3 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_hrect/horzcat.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/horzcat.m -***** shared d, x1, x2, x3 - d = 10; - x1 = stk_hrect (d); - x2 = double (x1); - x3 = [1:d; 0:(d-1)]; % illegal bounds -***** test - y1 = horzcat (x1, x1); - assert (isequal (size (y1), [2 2*d])); - assert (strcmp (class (y1), 'stk_hrect')); -***** test - y2 = horzcat (x1, x2); - assert (isequal (size (y2), [2 2*d])); - assert (strcmp (class (y2), 'stk_hrect')); -***** test - y3 = horzcat (x2, x1); - assert (isequal (size (y3), [2 2*d])); - assert (strcmp (class (y3), 'stk_hrect')); -***** test - lastwarn ('') - y4 = horzcat (x1, x3); - assert (isequal (size (y4), [2 2*d])); - assert (strcmp (class (y4), 'stk_dataframe')); - [warn_msg, warn_id] = lastwarn (); - assert (strcmp (warn_id, 'STK:stk_hrect:horzcat:IllegalBounds')) -warning: Illegal bounds, the result is not an stk_hrect object. -warning: called from - horzcat at line 47 column 9 - __test__ at line 4 column 5 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 814 column 31 - -4 tests, 4 passed, 0 known failure, 0 skipped -[inst/arrays/@stk_hrect/subsref.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/arrays/@stk_hrect/subsref.m -***** test - B = stk_hrect ([0 0 0 0; 1 2 3 4]); - B = B(:, [1 3 4]); - assert (strcmp (class (B), 'stk_hrect')); - assert (isequal (double (B), [0 0 0; 1 3 4])); -***** test - B = stk_hrect ([0 0 0 0; 1 2 3 4]); - B = B(1, :); - assert (strcmp (class (B), 'stk_dataframe')); - assert (isequal (double (B), [0 0 0 0])); -2 tests, 2 passed, 0 known failure, 0 skipped -[inst/sampling/stk_halfpintl.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_halfpintl.m -***** test % case #1 - a = 1; - b = 1; - [a_out, b_out, z_out] = stk_halfpintl (a, b); - assert (a_out == 1) - assert (b_out == 1) - assert (isempty (z_out)) -***** test % case #2: two lines, slopes not equal, already sorted - a = [1; -1]; - b = [0; 2]; - [a_out, b_out, z_out] = stk_halfpintl (a, b); - assert (isequal (a_out, [1; -1])) - assert (isequal (b_out, [0; 2])) - assert (z_out == 1) -***** test % case #3: same as #2, but not sorted - a = [-1; 1]; - b = [ 2; 0]; - [a_out, b_out, z_out] = stk_halfpintl (a, b); - assert (isequal (a_out, [1; -1])) - assert (isequal (b_out, [0; 2])) - assert (z_out == 1) -***** test % case #4: two lines, equal slopes, already sorted - a = [0; 0]; - b = [1; 2]; - [a_out, b_out, z_out] = stk_halfpintl (a, b); - assert (a_out == 0) - assert (b_out == 1) - assert (isempty (z_out)) -***** test % case #5: same as #4, but not sorted - a = [0; 0]; - b = [2; 1]; - [a_out, b_out, z_out] = stk_halfpintl (a, b); - assert (a_out == 0) - assert (b_out == 1) - assert (isempty (z_out)) -***** test % case #6: add a dominated line to #2 (the result does not change) - a = [1; -1; 0]; - b = [0; 2; 1]; - [a_out, b_out, z_out] = stk_halfpintl (a, b); - assert (isequal (a_out, [1; -1])) - assert (isequal (b_out, [0; 2])) - assert (z_out == 1) -***** test % case #7: permutation of #6 - a = [1; 0; -1]; - b = [0; 1; 2]; - [a_out, b_out, z_out] = stk_halfpintl (a, b); - assert (isequal (a_out, [1; -1])) - assert (isequal (b_out, [0; 2])) - assert (z_out == 1) -***** test % case #8: another permutation of #6 - a = [0; 1; -1]; - b = [1; 0; 2]; - [a_out, b_out, z_out] = stk_halfpintl (a, b); - assert (isequal (a_out, [1; -1])) - assert (isequal (b_out, [0; 2])) - assert (z_out == 1) -***** test % case #9: same as #8, with some duplicated lines added - a = [0; 1; 0; -1; 0; -1; 1]; - b = [1; 0; 1; 2; 1; 2; 0]; - [a_out, b_out, z_out] = stk_halfpintl (a, b); - assert (isequal (a_out, [1; -1])) - assert (isequal (b_out, [0; 2])) - assert (z_out == 1) -9 tests, 9 passed, 0 known failure, 0 skipped -[inst/sampling/@stk_sampcrit_eqi/stk_sampcrit_eqi.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_sampcrit_eqi/stk_sampcrit_eqi.m -***** shared F, M, EQI - M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); -warning: Something went wrong during the optimization -crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt -***** test F = stk_sampcrit_eqi () % ending ";" omitted on purpose, to test disp - -F = -| -| model: -- (not instantiated) -| quantile_order: 0.5 -| point_batch_size: 1 -| current_minimum: Inf -| - -***** assert (isempty (F.model)) -***** assert (isempty (get (F, 'model'))) -***** assert (F.quantile_order == 0.5) -***** assert (get (F, 'quantile_order') == 0.5) -***** assert (F.current_minimum == +inf) -***** assert (get (F, 'current_minimum') == +inf) -***** error F.toto -***** error get (F, 'toto') -***** error F.current_min = 1.234; % read-only -***** error F = set (F, 'current_min', 1.234); % read-only -***** error F.toto = 1.234; % field does not exist -***** error F = set (F, 'toto', 1.234); % field does not exist -***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) -***** test F = set (F, 'quantile_order', 0.8); assert (F.quantile_order == 0.8) -***** error F.quantile_order = 1.1; -***** error F.quantile_order = -0.1; -***** error F.quantile_order = [1 2]; -***** error F.current_minimum = 3.333; % read-only -***** error F.quantile_value = 2.222; % read-only -***** error EQI = feval (F, 1.0); -***** test F = stk_sampcrit_eqi (); F.model = M; - assert (~ isempty (F.model)); -***** test F = stk_sampcrit_eqi (); F = set (F, 'model', M); - assert (~ isempty (F.model)); -***** test F.model = []; % remove model - assert (isempty (F.model)); - assert (F.current_minimum == +inf); -***** test F = stk_sampcrit_eqi (M) % ending ";" omitted on purpose, to test disp - -F = -| -| model: -| quantile_order: 0.5 -| point_batch_size: 1 -| current_minimum: 1.234 -| - -***** assert (isequal (F.model, M)) -***** assert (stk_isequal_tolrel (F.current_minimum, 1.234, 10 * eps)); -***** test EQI = feval (F, [1.0; 1.1; 1.2]); -***** assert (isequal (size (EQI), [3 1])) -***** assert (all (EQI >= 0)) -***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) -***** shared F, M, EQI - prior_model = stk_model (); - prior_model.lognoisevariance = 0.678; - M = stk_model_gpposterior (prior_model, [1 2 3]', [1.234 3 2]'); -***** test F = stk_sampcrit_eqi (M); -***** assert (isequal (F.model, M)) -***** assert (stk_isequal_tolrel (F.current_minimum, 2.077997, 1e-5)); -***** test EQI = feval (F, [1.0; 1.1; 1.2]); -***** assert (isequal (size (EQI), [3 1])) -***** assert (all (EQI >= 0)) -***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) -***** shared F -***** test F = stk_sampcrit_eqi (stk_model ()); -***** assert (F.current_minimum == +inf); -***** error feval (F, 1.0); -***** shared F, M - M = stk_model_gpposterior (stk_model (), [1 2 3]', [1.234 3 2]'); -warning: Something went wrong during the optimization -crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt -***** error F = stk_sampcrit_eqi (M, [], 0); -***** error F = stk_sampcrit_eqi (M, [], 1.5); -***** error F = stk_sampcrit_eqi (M, [], nan); -***** error F = stk_sampcrit_eqi (M, [], [10 20]); -***** test F = stk_sampcrit_eqi (M, [], 10); -***** assert (isequal (F.quantile_order, 0.5)); -***** assert (isequal (F.point_batch_size, 10)); -***** error F = stk_sampcrit_eqi (M, 0.8, 0); -***** error F = stk_sampcrit_eqi (M, 0.8, 1.5); -***** error F = stk_sampcrit_eqi (M, 0.8, nan); -***** error F = stk_sampcrit_eqi (M, 0.8, [10 20]); -***** test F = stk_sampcrit_eqi (M, 0.8, 5); -***** assert (isequal (F.quantile_order, 0.8)); -***** assert (isequal (F.point_batch_size, 5)); -***** shared F, M, EQI - prior_model = stk_model (); - prior_model.lognoisevariance = 0.678; - M = stk_model_gpposterior (prior_model, [1 2 3]', [1.234 3 2]'); - F = stk_sampcrit_eqi (M); -***** test F.point_batch_size = 10; % numeric -***** assert (isequal (F.point_batch_size, 10)) -***** test EQI = feval (F, [1.0; 1.1; 1.2]); -***** test F.point_batch_size = @(x, n) 100 - n; % function handle -***** assert (isa (F.point_batch_size, 'function_handle')) -***** test EQI = feval (F, [1.0; 1.1; 1.2]); -***** test F.point_batch_size = 'sin'; % char -***** assert (isa (F.point_batch_size, 'function_handle')) -63 tests, 63 passed, 0 known failure, 0 skipped -[inst/sampling/stk_sampcrit_ei_eval.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampcrit_ei_eval.m -***** error EI = stk_sampcrit_ei_eval () % not enough args -***** error EI = stk_sampcrit_ei_eval (0) % not enough args -***** shared xi, zi, M_prior, xt, zp, EIref, EI1, EI2, EI3 - xi = [0; 0.2; 0.7; 0.9]; - zi = [1; 0.9; 0.6; 0.1]; - M_prior = stk_model (@stk_materncov32_iso); - M_prior.param = log ([1.0; 2.1]); - xt = stk_sampling_regulargrid (20, 1, [0; 1]); - zp = stk_predict (M_prior, xi, zi, xt); - EIref = stk_distrib_normal_ei (min (zi), zp.mean, sqrt (zp.var), true); -***** test % Current syntax (STK 2.4.1 and later) - EI1 = stk_sampcrit_ei_eval (zp.mean, sqrt (zp.var), min (zi)); -***** assert (isequal (EI1, EIref)) -4 tests, 4 passed, 0 known failure, 0 skipped -[inst/sampling/stk_sampling_olhs.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_olhs.m -***** shared x, n, d, box, permut - n = 5; d = 2; box = [0 0; 1, 1]; permut = 1:2; -***** error x = stk_sampling_olhs(); -***** test x = stk_sampling_olhs(n); -***** test x = stk_sampling_olhs(n, d); -***** test x = stk_sampling_olhs(n, d, box); -***** test x = stk_sampling_olhs(n, d, box, permut); -***** error x = stk_sampling_olhs(n, d, box, permut, pi); -***** assert (isa (x, 'stk_dataframe')); -***** assert (isequal (x.colnames, {})); -***** test - cn = {'W', 'H'}; box = stk_hrect (box, cn); - x = stk_sampling_olhs (n, d, box); - assert (isequal (x.colnames, cn)); -***** test - for r = 1:5 - - n = 2 ^ (r + 1) + 1; d = 2 * r; - x = stk_sampling_olhs (n, d); - - assert (isequal (size (x), [n d])); - - box = repmat ([-1; 1], 1, d); - assert (stk_is_lhs (x, n, d, box)); - - x = double (x); w = x' * x; - assert (stk_isequal_tolabs (w / w(1,1), eye (d))); - - end -10 tests, 10 passed, 0 known failure, 0 skipped -[inst/sampling/stk_sampcrit_ehvi_eval.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampcrit_ehvi_eval.m -***** shared zr, zi - zr = [1 1]; - zi = [0.25 0.75; 0.5 0.5; 0.75 0.25]; -***** test % no improvement (1 computation) - zp_mean = [0.6 0.6]; zp_std = [0 0]; - EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); - assert (stk_isequal_tolabs (EHVI, 0, 1e-12)); -***** test % guaranteed improvement (1 computation) - zp_mean = [0 0]; zp_std = [0 0]; - EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); - assert (stk_isequal_tolabs (EHVI, 10 * 0.25 ^ 2)); -***** test % no improvement again (2 computations) - zp_mean = [0.5 0.5; 0.6 0.6]; zp_std = [0 0; 0 0]; - EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); - assert (stk_isequal_tolabs (EHVI, [0; 0], 1e-12)); -***** test % no observation -> EHVI wrt zr - zp_mean = [0.6 0.6]; zp_std = 0.01 * [1 1]; zi = []; - EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); - assert (stk_isequal_tolabs (EHVI, (1 - 0.6)^2, 1e-12)); -***** test % no observation below zr -> EHVI wrt zr - zp_mean = [0.6 0.6]; zp_std = 0.01 * [1 1]; zi = [2 2]; - EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); - assert (stk_isequal_tolabs (EHVI, (1 - 0.6)^2, 1e-12)); -5 tests, 5 passed, 0 known failure, 0 skipped -[inst/sampling/stk_sampling_nesteddesign.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_nesteddesign.m -***** shared x, n, dim, box, niter, levels - n = [23; 14; 5; 2]; dim = 2; box = [0, 0; 4, 4]; niter = 10; - levels = [10.1; 15.2; -9.3; 2.4; 17.5]; -***** error x = stk_sampling_nesteddesign (); -***** test x = stk_sampling_nesteddesign (n); -***** test x = stk_sampling_nesteddesign (n, dim); -***** test x = stk_sampling_nesteddesign (n, dim, box); -***** test x = stk_sampling_nesteddesign (n, dim, box, niter); -***** test x = stk_sampling_nesteddesign (n, dim, box, niter, levels); -***** assert ( isequal(size(x), [sum(n), dim + 1]) ); -***** assert ( isa(x, 'stk_dataframe') ); - cn = [0; cumsum(n)]; - for lev = 1:length(n), - y = x( (cn(lev) + 1):(cn(lev + 1)), 1:dim ); - assert (isequal (size (y), [n(lev) dim])); - if lev > 1 - assert ( isequal(z((end - n(lev) + 1):end, :), y) ); - end - if lev == length(n) - assert (stk_is_lhs (y, n(lev), dim, box)); - end - z = y; - end -***** assert (isequal (x.colnames{dim + 1}, 'Level')); - levels = stk_dataframe(levels, {'t'}); - box = stk_hrect(box, {'x1', 'x2', 'x3', 'x4'}); -***** test x = stk_sampling_nesteddesign (n, [], box, [], levels); -***** assert (isequal(x.colnames, {'x1', 'x2', 'x3', 'x4', 't'}) ); -11 tests, 11 passed, 0 known failure, 0 skipped -[inst/sampling/@stk_sampcrit_akg/stk_sampcrit_akg.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_sampcrit_akg/stk_sampcrit_akg.m -***** shared F, M, AKG - M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); -warning: Something went wrong during the optimization -crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt -***** test F = stk_sampcrit_akg () % ending ";" omitted on purpose, to test disp +[inst/examples/03_miscellaneous/stk_example_misc03.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc03.m +***** test stk_example_misc03; close all; -F = -| -| model: -- (not instantiated) -| reference_grid: -- (use current evaluation points) -| +#==========================# +# stk_example_misc03 # +#==========================# -***** assert (isempty (F.model)) -***** assert (isempty (get (F, 'model'))) -***** assert (isempty (F.reference_grid)) -***** assert (isempty (get (F, 'reference_grid'))) -***** error F.toto -***** error get (F, 'toto') -***** error F.toto = 1.234; % field does not exist -***** error F = set (F, 'toto', 1.234); % field does not exist -***** error AKG = feval (F, 1.0); -***** test F = stk_sampcrit_akg (); F.model = M; - assert (isequal (F.model, M)); -***** test F = stk_sampcrit_akg (); F = set (F, 'model', M); - assert (isequal (F.model, M)); - assert (isequal (size (F.zr_mean), [3 1])) % n x 1 - assert (isequal (size (F.zr_std), [3 1])) % n x 1 - assert (isequal (size (F.zr_lambdamu), [4 3])) % (n+1) x n (constant mean) -***** test F.model = []; % remove model - assert (isempty (F.model)); - assert (isempty (F.zr_mean)) - assert (isempty (F.zr_std)) - assert (isempty (F.zr_lambdamu)) -***** test xr = [1 1.5 2 2.5 3]'; - F.reference_grid = xr % ending ";" omitted on purpose, to test disp - assert (isequal (F.reference_grid, xr)) - assert (isempty (F.zr_mean)) - assert (isempty (F.zr_std)) - assert (isempty (F.zr_lambdamu)) +'stk_example_misc03' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc03.m -F = -| -| model: -- (not instantiated) -| reference_grid: <5x1 double array> -| + STK_EXAMPLE_MISC03 How to deal with (known) seasonality -***** test F.reference_grid = []; - assert (isempty (F.reference_grid)) -***** test F = stk_sampcrit_akg (); F.model = M; - assert (isequal (F.model, M)); - xr = [1 1.5 2 2.5 3]'; - F.reference_grid = xr % ending ";" omitted on purpose, to test disp - assert (isequal (F.reference_grid, xr)) - assert (isequal (size (F.zr_mean), [5 1])) % nr x 1 - assert (isequal (size (F.zr_std), [5 1])) % nr x 1 - assert (isequal (size (F.zr_lambdamu), [4 5])) % (n+1) x nr (constant mean) -F = -| -| model: -| reference_grid: <5x1 double array> -| +Additional help for built-in functions and operators is +available in the online version of the manual. Use the command +'doc ' to search the manual index. -***** test F.reference_grid = []; - assert (isempty (F.reference_grid)) -***** test F = stk_sampcrit_akg (M) % ending ";" omitted on purpose, to test disp +Help and information about Octave is also available on the WWW +at https://www.octave.org and via the help@octave.org +mailing list. +model = -F = -| -| model: -| reference_grid: -- (use current evaluation points) -| + scalar structure containing the fields: -***** assert (isequal (F.model, M)) -***** test AKG = feval (F, [1.0; 1.1; 1.2]); -***** assert (isequal (size (AKG), [3 1])) -***** assert (all (AKG >= 0)) -***** test [AKG2, zp] = feval (F, [1.0; 1.1; 1.2]); - assert (isequal (AKG2, AKG)); - assert (isa (zp, 'stk_dataframe') && isequal (size (zp), [3 2])) -***** shared F, xr - xr = [1 1.5 2 2.5 3]'; -***** test F = stk_sampcrit_akg (stk_model ()); -***** assert (isempty (F.reference_grid)) -***** test F.reference_grid = xr; -***** assert (isequal (F.reference_grid, xr)) -***** assert (isempty (F.zr_mean)) -***** assert (isempty (F.zr_std)) -***** assert (isempty (F.zr_lambdamu)) -***** error AKG = feval (F, 1.0); -***** shared F, M, xr - xr = [1 1.5 2 2.5 3]'; - M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); -warning: Something went wrong during the optimization -crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt -***** test F = stk_sampcrit_akg (M, xr); -***** assert (isequal (F.model, M)) -***** assert (isequal (F.reference_grid, xr)) -***** assert (isequal (size (F.zr_mean), [5 1])) % nr x 1 -***** assert (isequal (size (F.zr_std), [5 1])) % nr x 1 -***** assert (isequal (size (F.zr_lambdamu), [4 5])) % (n+1) x nr (constant mean) -37 tests, 37 passed, 0 known failure, 0 skipped -[inst/sampling/stk_sampling_vdc_rr2.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_vdc_rr2.m -***** error __stk_sampling_vdc_rr2__() % two inputs required -***** error __stk_sampling_vdc_rr2__(10) % two inputs required -***** error __stk_sampling_vdc_rr2__(10, 3, -1) % two inputs required -***** test - n = 300; j = 25; - x = __stk_sampling_vdc_rr2__(n, j); - assert(isequal(size(x), [n 1])) -***** test - x = __stk_sampling_vdc_rr2__(2000, 7); - y = double (x(1998:2000, :)); - yref = [0.849786281294525; 0.085080398941584; 0.555668634235701]; - assert(stk_isequal_tolrel(y, yref, 1e-13)); -5 tests, 5 passed, 0 known failure, 0 skipped -[inst/sampling/stk_sampling_randomlhs.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_randomlhs.m -***** shared x, n, dim, box - n = 10; dim = 2; box = [0, 0; 1, 1]; -***** error x = stk_sampling_randomlhs (); -***** test x = stk_sampling_randomlhs (n); -***** test x = stk_sampling_randomlhs (n, dim); -***** test x = stk_sampling_randomlhs (n, dim, box); -***** assert (isa(x, 'stk_dataframe')); -***** assert (isequal (x.colnames, {})); -***** test - cn = {'W', 'H'}; box = stk_hrect (box, cn); - x = stk_sampling_randomlhs (n, dim, box); - assert (isequal (x.colnames, cn)); -***** test - for dim = 1:5, - x = stk_sampling_randomlhs(n, dim); - assert(isequal(size(x), [n dim])); - u = double(x); u = u(:); - assert(~any(isnan(u) | isinf(u))); - assert((min(u) >= 0) && (max(u) <= 1)); - assert(stk_is_lhs(x, n, dim)); - end -8 tests, 8 passed, 0 known failure, 0 skipped -[inst/sampling/stk_sampling_halton_rr2.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_halton_rr2.m -***** error stk_sampling_halton_rr2 () % nargin < 1 -***** test - n = 300; d = 25; - x = stk_sampling_halton_rr2 (n, d); - assert (isequal (size (x), [n d])) -***** test - x = stk_sampling_halton_rr2 (1000, 3); - y = double (x(end, :)); - yref = [0.9052734375 0.028349336991312 0.74848]; - assert (stk_isequal_tolrel (y, yref, 1e-13)); -***** test - dim = 2; box = stk_hrect (dim); - x = stk_sampling_halton_rr2 (5, dim, box); - assert (isequal (x.colnames, {})); -***** test - dim = 2; cn = {'W', 'H'}; box = stk_hrect (dim, cn); - x = stk_sampling_halton_rr2 (5, dim, box); - assert (isequal (x.colnames, cn)); -5 tests, 5 passed, 0 known failure, 0 skipped -[inst/sampling/stk_sampling_maximinlhs.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_maximinlhs.m -***** shared x, n, dim, box, niter - n = 20; dim = 2; box = [0, 0; 1, 1]; niter = 1; -***** error x = stk_sampling_maximinlhs (); -***** test x = stk_sampling_maximinlhs (n); -***** test x = stk_sampling_maximinlhs (n, dim); -***** test x = stk_sampling_maximinlhs (n, dim, box); -***** test x = stk_sampling_maximinlhs (n, dim, box, niter); -***** assert (isa (x, 'stk_dataframe')); -***** assert (isequal (x.colnames, {})); -***** test - cn = {'W', 'H'}; box = stk_hrect (box, cn); - x = stk_sampling_maximinlhs (n, dim, box); - assert (isequal (x.colnames, cn)); -***** test - for dim = 1:5, - x = stk_sampling_randomlhs (n, dim); - assert (isequal (size (x), [n dim])); - u = double (x); u = u(:); - assert (~ any (isnan (u) | isinf (u))); - assert ((min (u) >= 0) && (max (u) <= 1)); - assert (stk_is_lhs (x, n, dim)); - end -9 tests, 9 passed, 0 known failure, 0 skipped -[inst/sampling/@stk_sampcrit_ei/stk_sampcrit_ei.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_sampcrit_ei/stk_sampcrit_ei.m -***** shared F, M, EI - M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); -warning: Something went wrong during the optimization -crit0 = 2.594852, crit_opt = 2.594852: crit0 < crit_opt -***** test F = stk_sampcrit_ei () % ending ";" omitted on purpose, to test disp + covariance_type = @stk_materncov52_iso + lm = -F = -| -| model: -- (not instantiated) -| current_minimum: Inf -| + -***** assert (isempty (F.model)) -***** assert (isempty (get (F, 'model'))) -***** assert (F.current_minimum == +inf) -***** assert (get (F, 'current_minimum') == +inf) -***** error F.toto -***** error get (F, 'toto') -***** error F.current_min = 1.234; % read-only -***** error F = set (F, 'current_min', 1.234); % read-only -***** error F.toto = 1.234; % field does not exist -***** error F = set (F, 'toto', 1.234); % field does not exist -***** error EI = feval (F, 1.0); -***** test F = stk_sampcrit_ei (); F.model = M; - assert (~ isempty (F.model)); -***** test F = stk_sampcrit_ei (); F = set (F, 'model', M); - assert (~ isempty (F.model)); -***** test F.model = []; % remove model - assert (isempty (F.model)); - assert (F.current_minimum == +inf); -***** test F = stk_sampcrit_ei (M) % ending ";" omitted on purpose, to test disp + dim = 1 + param = -F = -| -| model: -| current_minimum: 1.234 -| + 1.7887 + -1.8347 -***** assert (isequal (F.model, M)) -***** assert (F.current_minimum == 1.234); -***** test EI = feval (F, [1.0; 1.1; 1.2]); -***** assert (isequal (size (EI), [3 1])) -***** assert (all (EI >= 0)) -***** shared F -***** test F = stk_sampcrit_ei (stk_model ()); -***** assert (F.current_minimum == +inf); -***** error feval (F, 1.0); -24 tests, 24 passed, 0 known failure, 0 skipped -[inst/sampling/stk_sampling_nestedlhs.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_nestedlhs.m -***** shared x, n, dim, box, niter, levels - n = [48; 12; 4; 2]; dim = 2; box = [0, 0; 4, 4]; niter = 10; - levels = [10.1; 15.2; -9.3; 2.4; 17.5]; -***** error x = stk_sampling_nestedlhs (); -***** test x = stk_sampling_nestedlhs (n); -***** test x = stk_sampling_nestedlhs (n, dim); -***** test x = stk_sampling_nestedlhs (n, dim, box); -***** test x = stk_sampling_nestedlhs (n, dim, box, niter); -***** test x = stk_sampling_nestedlhs (n, dim, box, niter, levels); -***** assert ( isequal(size(x), [sum(n), dim + 1]) ); -***** assert ( isa(x, 'stk_dataframe') ); - cn = [0; cumsum(n)]; - for lev = 1:length(n), - y = x( (cn(lev) + 1):(cn(lev + 1)), 1:dim ); - assert (isequal (size (y), [n(lev) dim])); - assert (stk_is_lhs (y, n(lev), dim, box)); - if lev > 1 - assert ( isequal(z((end - n(lev) + 1):end, :), y) ); - end - z = y; - end -***** assert (isequal (x.colnames{dim + 1}, 'Level')); - levels = stk_dataframe(levels, {'t'}); - box = stk_hrect(box, {'x1', 'x2', 'x3', 'x4'}); -***** test x = stk_sampling_nestedlhs (n, [], box, [], levels); -***** assert (isequal(x.colnames, {'x1', 'x2', 'x3', 'x4', 't'}) ); -11 tests, 11 passed, 0 known failure, 0 skipped -[inst/sampling/@stk_function/stk_function.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/@stk_function/stk_function.m -***** shared F -***** test F = stk_function () % ending ";" omitted on purpose, to test disp + lognoisevariance = -4.5181 -F = +model2 = -***** error [F F]; % arrays of sampling criterion objects are not supported -***** error [F; F]; % idem -***** error get (F, 'toto'); % field does not exist -***** error y = feval (F, 1.0); % not implemented for "pure" function objects -***** error dummy = F{2}; % illegal indexing -***** error dummy = F(1.0); % feval not implemented -***** error dummy = F.toto; % field does not exist -***** error F{2} = 1.234; % illegal indexing -***** error F(5) = 1.234; % illegal indexing -***** error F.toto = 1.234; % field does not exist -11 tests, 11 passed, 0 known failure, 0 skipped -[inst/sampling/stk_sampcrit_akg_eval.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampcrit_akg_eval.m -***** shared zc_mean, zc_std, zr_mean, zr_std, zcr_cov, AKG, nc - xi = [0; 0.2; 0.7; 0.9]; - zi = [1; 0.9; 0.6; 0.1] - 10; - ni = 4; + scalar structure containing the fields: - M_prior = stk_model (@stk_materncov32_iso); - M_prior.param = log ([1.0; 2.1]); - M_prior.lognoisevariance = 0.678; + covariance_type = @stk_materncov52_iso + lm = - nc = 20; - xc = stk_sampling_regulargrid (nc, 1, [0; 1]); - [zp, ~, ~, K] = stk_predict (M_prior, xi, zi, [xi; xc]); +@(t) [ones(length (t), 1), sin(2 * pi * t / T0), cos(2 * pi * t / T0)] - ir = 1:ni; ic = ni + (1:nc); + dim = 1 + param = - zc_mean = zp.mean(ic); - zc_std = sqrt (zp.var(ic)); + 0.9910 + -8.1781 - % reference grid: current evaluation points ("KGCP") - zr_mean = zp.mean(ir); - zr_std = sqrt (zp.var(ir)); + lognoisevariance = -4.5483 - zcr_cov = K(ic, ir); -***** test AKG = stk_sampcrit_akg_eval (zc_mean, zc_std, zr_mean, zr_std, zcr_cov); -***** assert (isequal (size (AKG), [nc 1])) -***** assert (all (AKG >= 0)) -***** error AKG = stk_sampcrit_akg_eval (zc_mean, zc_std, zr_mean, zr_std); -4 tests, 4 passed, 0 known failure, 0 skipped -[inst/sampling/stk_sampling_randunif.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_randunif.m -***** shared x, n, dim, box - n = 10; dim = 2; box = [0, 0; 2, 2]; -***** error x = stk_sampling_randunif (); -***** test x = stk_sampling_randunif (n); -***** test x = stk_sampling_randunif (n, dim); -***** test x = stk_sampling_randunif (n, dim, box); -***** assert (isa(x, 'stk_dataframe')); -***** assert (isequal (x.colnames, {})); -***** test - cn = {'W', 'H'}; box = stk_hrect (box, cn); - x = stk_sampling_randunif (n, dim, box); - assert (isequal (x.colnames, cn)); -***** test - for dim = 1:5, - x = stk_sampling_randunif(n, dim); - assert(isequal(size(x), [n dim])); - u = double(x); u = u(:); - assert(~any(isnan(u) | isinf(u))); - assert((min(u) >= 0) && (max(u) <= 1)); - end -8 tests, 8 passed, 0 known failure, 0 skipped -[inst/sampling/stk_sampling_regulargrid.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/sampling/stk_sampling_regulargrid.m -***** shared x, n, dim, box - n = 9; dim = 2; box = [0, 0; 1, 1]; -***** error x = stk_sampling_regulargrid (); -***** test x = stk_sampling_regulargrid (n); -***** test x = stk_sampling_regulargrid (n, dim); -***** test x = stk_sampling_regulargrid (n, dim, box); -***** assert (isa (x, 'stk_dataframe')); -***** assert (isa (x, 'stk_factorialdesign')); -***** assert (isequal (x.colnames, {})); -***** test - cn = {'W', 'H'}; box = stk_hrect (box, cn); - x = stk_sampling_regulargrid (n, dim, box); - assert (isequal (x.colnames, cn)); -***** test - for dim = 1:3, - n = 3^dim; - x = stk_sampling_regulargrid(n, dim); - assert(isequal(size(x), [n dim])); - u = double(x); u = u(:); - assert(~any(isnan(u) | isinf(u))); - assert((min(u) >= 0) && (max(u) <= 1)); - end -***** test - nn = [3 4 5]; - for dim = 1:3, - x = stk_sampling_regulargrid(nn(1:dim), dim); - assert(isequal(size(x), [prod(nn(1:dim)) dim])); - u = double(x); u = u(:); - assert(~any(isnan(u) | isinf(u))); - assert((min(u) >= 0) && (max(u) <= 1)); - end -10 tests, 10 passed, 0 known failure, 0 skipped +1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc04.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc04.m ***** test stk_example_misc04; close all; @@ -5223,29 +6811,59 @@ line 0: warning: deprecated command Proba. of being dominated simulated Pareto fronts--| || - | * *##+% *$+%&@=*@@@@@@@| ++---+---+--+---+-+ ++||00% - | * *##+% *$+%& =* + | ||###|###|##|###|#| || - 1000 +|+*#*###%#*$#%&#=*####+-+| 1000 +---+#+###+##+#+---+ || - #|#*#*###%#*$#%&#=*##### | |#################| || - #|#*#*###%#*$#%&#=*##### | |#################| || - #|#*#*###%#*$#%&#=*##### | |#################| ++||5% - 500 +|+*#*###%#*$#%&&=*&&&&&&&| 500 +---+##########+---+ || - #|#*#*###%#*==%===*$$$$$$$| |#################| || - #|#*#*###%#*%%%%%=*%%%%%%%| |#################| || - #|#***########%%%%%%%second objective|#################| ++||0% - 0 +|+##*#####*##$##=@@@@@@@@| +---+##########+---+ || - #|###*#####***$***********| |#################| || - #|###**#******$**=********| |#################| || - #|############$##=########| |#################| || - #|############$##=###### | -500 |#################| ++||5% - -500 +|+###########$$$$$$$$$$$$| +---+##########+---+ || - #|###################### | |#################| || - #|########################| |+###+###+##+###+#| || - #|------------------------| -1000 +|---|---|--|---|-+ || - -1000 +-++####+####+###+####++-+ +---+-100001000+---+ ++-0% - -2000-1000 0 1000 2000 + 600 +|+ +* #*% $=#%=&+ +-+| +--+---+--+--+---++ ++||00% + |+ +* #*% $=#%=&#######| 600 +---+###|##|##|+---+ || + #|#####*##*%#$=#%=&##### | +##+###+##+##+###+| || + 400 +|+####*##*%#$=#%=&####+-+| 400 +---+##########+---+ || + #|#####*##*%#$$$$$$$$$$$$$| |#################| || + #|#####*##*%#*=#%=========| |#################| ++||5% + 200 +|+####*###%##############| 200 +---+##########+---+ || + #|#####*#@*%#**=%#&##### | |#################| || + #|#####*#@*%#*************| |#################| || + 0 +|+####*#@*%****%*&***second objective--+##########+---+ ++||0% + #|#####**@*%****%*&&&&&&&&| |#################| || + #|#######@#%#&#*%####### | -200 |#################| || + -200 +|+######@#%#&#*%$$$$$$$$$| +---+##########+---+ || + #|#######@#%#&##%*********| |#################| || + #|#######@@%@@@@@@@@@@@@@@| -400 |#################| ++||5% + -400 +|+########%#&##%######+-+| +---+##########+---+ || + #|#########%#&&&%%%%%%%%%%| -600 |#################| || + #|#########%%%%%%%%%%%%%%%| +---+###+##+##++---+ || + -600 +|------------------------| |--|---|--|--|---|+ || + ##+###+###+###+####+###+ -30-200-100010002000 ++-0% + -300-200-1000 0 10002000 first objective first objective 1 test, 1 passed, 0 known failure, 0 skipped +[inst/examples/03_miscellaneous/stk_example_misc01.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc01.m +***** test stk_example_misc01; close all; + +#==========================# +# stk_example_misc01 # +#==========================# + +'stk_example_misc01' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc01.m + + STK_EXAMPLE_MISC01 Several correlation functions from the Matern family + + The Matern 1/2 correlation function is also known as the "exponential correla- + tion function". This is the correlation function of an Ornstein-Ulhenbeck pro- + cess. + + The Matern covariance function tends to the Gaussian correlation function when + its regularity (smoothness) parameter tends to infinity. + + See also: stk_materncov_iso, stk_materncov_aniso + + +Additional help for built-in functions and operators is +available in the online version of the manual. Use the command +'doc ' to search the manual index. + +Help and information about Octave is also available on the WWW +at https://www.octave.org and via the help@octave.org +mailing list. +1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc05.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc05.m ***** test @@ -5380,47 +6998,29 @@ 0 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 1 input x input x 1 test, 1 passed, 0 known failure, 0 skipped -[inst/examples/03_miscellaneous/stk_example_misc01.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc01.m -***** test stk_example_misc01; close all; - -#==========================# -# stk_example_misc01 # -#==========================# - -'stk_example_misc01' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc01.m - - STK_EXAMPLE_MISC01 Several correlation functions from the Matern family - - The Matern 1/2 correlation function is also known as the "exponential correla- - tion function". This is the correlation function of an Ornstein-Ulhenbeck pro- - cess. - - The Matern covariance function tends to the Gaussian correlation function when - its regularity (smoothness) parameter tends to infinity. +[inst/examples/02_design_of_experiments/stk_example_doe04.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe04.m +***** test stk_example_doe04; close all; - See also: stk_materncov_iso, stk_materncov_aniso +#=========================# +# stk_example_doe04 # +#=========================# +'stk_example_doe04' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe04.m -Additional help for built-in functions and operators is -available in the online version of the manual. Use the command -'doc ' to search the manual index. + STK_EXAMPLE_DOE04 Probability of misclassification -Help and information about Octave is also available on the WWW -at https://www.octave.org and via the help@octave.org -mailing list. -1 test, 1 passed, 0 known failure, 0 skipped -[inst/examples/03_miscellaneous/stk_example_misc03.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/03_miscellaneous/stk_example_misc03.m -***** test stk_example_misc03; close all; + The upper panel shows posterior means and variances as usual, and the + threshold of interest, which is at T = 0.85 (dashed line). -#==========================# -# stk_example_misc03 # -#==========================# + The lower panel shows the probability of misclassification as a function of x + (blue curve), i.e., the probability that the actual value of the function is + not on the same side of the threshold as the prediction (posterior mean). -'stk_example_misc03' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/03_miscellaneous/stk_example_misc03.m + We also plot the expected future probability of misclassification (magenta + curve), should a new evaluation be made at x = 3. - STK_EXAMPLE_MISC03 How to deal with (known) seasonality + Note that both probabilities are obtained using stk_pmisclass. Additional help for built-in functions and operators is @@ -5430,63 +7030,43 @@ Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. -model = - - scalar structure containing the fields: - - covariance_type = @stk_materncov52_iso - lm = - - - - dim = 1 - param = - - 1.3128 - -1.6669 - - lognoisevariance = -4.6813 - -model2 = - - scalar structure containing the fields: - - covariance_type = @stk_materncov52_iso - lm = - -@(t) [ones(length (t), 1), sin(2 * pi * t / T0), cos(2 * pi * t / T0)] - - dim = 1 - param = - - -9.6703 - -8.1781 - - lognoisevariance = -4.6691 - 1 test, 1 passed, 0 known failure, 0 skipped -[inst/examples/02_design_of_experiments/stk_example_doe03.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe03.m -***** test stk_example_doe03; close all; +[inst/examples/02_design_of_experiments/stk_example_doe06.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe06.m +***** test stk_example_doe06; close all; #=========================# -# stk_example_doe03 # +# stk_example_doe06 # #=========================# -'stk_example_doe03' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe03.m +'stk_example_doe06' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe06.m - STK_EXAMPLE_DOE03 A simple illustration of 1D Bayesian optimization + STK_EXAMPLE_DOE06 Sequential design for the estimation of an excursion set - Our goal here is to optimize (maximize) the one-dimensional function + In this example, we consider the problem of estimating the set - x |--> x * sin (x) + Gamma = { x in X | f(x) > z_crit }, - over the interval [0; 4 * pi]. + where z_crit is a given value, and/or its volume. - A Matern 5/2 prior with known parameters is used. + In a typical "structural reliability analysis" problem, Gamma would + represent the failure region of a certain system, and its volume would + correspond to the probability of failure (assuming a uniform distribution + for the input). - Evaluations points are chosen sequentially using the Expected Improvement (EI) - criterion, starting from an initial design of N0 = 3 points. + A Matern 5/2 prior with known parameters is used for the function f, and + the evaluations points are chosen sequentially using any of the sampling + criterion described in [1] (see also [2], section 4.3). + + REFERENCE + + [1] B. Echard, N. Gayton and M. Lemaire (2011). AK-MCS: an active + learning reliability method combining Kriging and Monte Carlo + simulation. Structural Safety, 33(2), 145-154. + + [2] J. Bect, D. Ginsbourger, L. Li, V. Picheny and E. Vazquez (2012). + Sequential design of computer experiments for the estimation of a + probability of failure. Statistics and Computing, 22(3), 773-793. Additional help for built-in functions and operators is @@ -5496,647 +7076,598 @@ Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. +Volume (reference value): 19.74% + +data_init = <4x2 stk_dataframe array> + + : x z + initial design #1 : 0.000000 0.00000 + initial design #2 : 0.333333 -0.43063 + initial design #3 : 0.666667 -0.66886 + initial design #4 : 1.000000 -1.20558 + + line 0: warning: iconv failed to convert degree sign + + + |-------------------------Groung truth----------------------------| + 1 +|+ + + + + +-+| + +| + + + + +| + #|############################################################### | + 0.5 +|+#############################################################+-+| + #|############################################################### | + #|############################################################### | + $|$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$| + 0 *|*****##***####***#######**#######**##########**########**#####+-+| + #|####****########**#####**#########*##########*##########*###### | + z #|#################***#***###########*########**##########**##### | + -0.5 +|+##################***#############**######**############*####+-+| + #|####################################**####**#############**#### | + #|#####################################******###############**### | + #|----------------------------+##############################**## | + -1 +|***?***z = f(x), below zcrit|###############################*#+-+| + #|###?###z = f(x), above zcrit|###############################*****| + +|-----------------------------------------------------------------| + -1.5 +-+##########+############+#############+############+##########+-+ + 0 0.2 0.4 0.6 0.8 1 + x + +Iteration #1 +| Current sample size: n = 4 +| Volume estimate (plugin): 0.00000 [ref: 0.19740] +| Upper-bound on posterior std: 4.1023e-01 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign | - 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: x z - x0(001) : 0.00000 0.00000 - x0(002) : 6.00000 -1.67649 - x0(003) : 12.00000 -6.43888 - xg(057) : 1.68421 1.67339 - xg(099) : 2.94737 0.56886 - xg(282) : 8.45113 6.98861 - xg(299) : 8.96241 3.99788 - xg(268) : 8.03008 7.90589 - xg(258) : 7.72932 7.66935 - xg(265) : 7.93985 7.91060 - xg(266) : 7.96992 7.91642 - xg(145) : 4.33083 -4.01937 - -Number of evaluations: 3 + 9 = 12. - -1 test, 1 passed, 0 known failure, 0 skipped -[inst/examples/02_design_of_experiments/stk_example_doe02.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe02.m -***** test stk_example_doe02; close all; - -#=========================# -# stk_example_doe02 # -#=========================# - -'stk_example_doe02' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe02.m - - STK_EXAMPLE_DOE02 "Sequential Maximin" design - - In this example, a two-dimensional space-filling design is progressively - enriched with new points using a "sequential maximin" approach. More - precisely, the k-th point X(k, :) is selected to maximize the distance to the - set of all previously selected points X(1, :), X(2, :), ..., X(k-1, :). - - NOTES: - - * The resulting design is NOT optimal with respect to the maximin criterion - (separation distance). - - * This procedure is not truly a *sequential* design procedure, since the - choice of the k-th point X(k, :) does NOT depend on the response at the - previously selected locations X(i, :), i < k. - - REFERENCE - - [1] Emmanuel Vazquez and Julien Bect, "Sequential search based on kriging: - convergence analysis of some algorithms", In: ISI - 58th World - Statistics Congress of the International Statistical Institute (ISI'11), - Dublin, Ireland, August 21-26, 2011. - - -Additional help for built-in functions and operators is -available in the online version of the manual. Use the command -'doc ' to search the manual index. - -Help and information about Octave is also available on the WWW -at https://www.octave.org and via the help@octave.org -mailing list. - line 0: warning: iconv failed to convert degree sign - -gnuplot> " font ":Bold,10" textcolor rgb " - ^ - line 0: invalid command - - - - |----------------------n = 10, fd = 2.97e-01-------------------------| - 1 +|+ + + F + + +-+| - +| + + + F + +| - #|################################################################### | - #|###############F################################################### | - 0.8 +|+#################################################################+-+| - #|###########################################F####################### | - #|################################################################### | - 0.6 +|+#F###############################################################+-+| - #|#######################F########################################### | - #|##############################################################F#### | - 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#|################################################################### | - 0.2 +|+######F###############F##########################################+-+| - #|#########################################################F######### | - #|################################################################### | - +|---------------------------------------------------------------------| - 0 F-+###########+##F##########+#############+#####F#######+###########+-F - 0 0.2 0.4 0.6 0.8 1 + | + 1 +|+ + | &*** + 0.5 +|+#######################*G**G##############***&*G*####### + 0 +|+##########F############################################### + z #|##&*G**&#####&****&****#######***&#####&**########**##### + -0.5 +|+##############%&*G*&###########***&&&G**###########G*### + -1 +|+################################&*****##############***&% + +|------------------------------------------------------------ + -1.5 +-+#########+###########+###########+###########+#########%%+ + 0 0.2 0.4 0.6 0.8 1 + |-----------------------------------------------------------| + 0.05 +|+ + + + + +-+| + +| +F + + + +| + 0.04 +|+##########**###########################################+-+| + 0.03 +|+##########**###########################################+-+| + #|###########**############################################ | + 0.02 +|+##########**####################################*######+-+| + 0.01 +|+##########**####################################*######+-+| + +|-----------------------------------------------------------| + 0 **************#********************************************** + 0 0.2 0.4 0.6 0.8 1 + x +Iteration #18 +| Current sample size: n = 21 +| Volume estimate (plugin): 0.19740 [ref: 0.19740] +| Upper-bound on posterior std: 1.3841e-03 [target: 5.000e-04] line 0: warning: iconv failed to convert degree sign - -gnuplot> " font ":Bold,10" textcolor rgb " - ^ - line 0: invalid command - - - |----------------------n = 19, fd = 2.14e-01-------------------------| - 1 F|+ + + F + + +-F| - +| + + + F + +| - #|################################################################### | - #|###############F################################################### | - 0.8 +|+#################################################################+-F| - #|###########################################F####################### | - #|################################################################### | - 0.6 +|+#F###############################################################+-+| - #|#######################F########################################### | - #|###############################################F##############F#### | - #|################################################################### | - 0.4 +|+#################################################################+-+| - #|######################################F############################ | - #|################################################################### | - 0.2 +|+######F###############F##########################################+-+| - #|#########################################################F######### | - #|################################################################### | - +|---------------------------------------------------------------------| - 0 F-+###########+##F##########+#############+#####F#######+###########+-F - 0 0.2 0.4 0.6 0.8 1 - -1 test, 1 passed, 0 known failure, 0 skipped -[inst/examples/02_design_of_experiments/stk_example_doe04.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe04.m -***** test stk_example_doe04; close all; - -#=========================# -# stk_example_doe04 # -#=========================# - -'stk_example_doe04' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe04.m - - STK_EXAMPLE_DOE04 Probability of misclassification - - The upper panel shows posterior means and variances as usual, and the - threshold of interest, which is at T = 0.85 (dashed line). - - The lower panel shows the probability of misclassification as a function of x - (blue curve), i.e., the probability that the actual value of the function is - not on the same side of the threshold as the prediction (posterior mean). - - We also plot the expected future probability of misclassification (magenta - curve), should a new evaluation be made at x = 3. + | + 1 +|+ + | &*** + 0.5 +|+#######################*G**G##############***&*G*####### + 0 +|+################################################F######### + z #|##&*G**&#####&****&****#######***&#####&**########**##### + -0.5 +|+##############%&*G*&###########***&&&G**###########G*### + -1 +|+################################&*****##############***&% + +|------------------------------------------------------------ + -1.5 +-+#########+###########+###########+###########+#########%%+ + 0 0.2 0.4 0.6 0.8 1 + |-----------------------------------------------------------| + 0.02 +|+ + + + + F +-+| + +| + + + + * +| + 0.015 +|+################################################*######+-+| + #|#################################################*####### | + 0.01 +|+################################################*######+-+| + #|#################################################*####### | + 0.005 +|+################################################*######+-+| + +|-----------------------------------------------------------| + 0 ************************************************************* + 0 0.2 0.4 0.6 0.8 1 + x +Iteration #19 +| Current sample size: n = 22 +| Volume estimate (plugin): 0.19740 [ref: 0.19740] +| Upper-bound on posterior std: 4.1708e-04 [target: 5.000e-04] - Note that both probabilities are obtained using stk_pmisclass. +history = <22x5 stk_dataframe array> + : x z vol_estim vol_err nmisclass + initial design #1 : 0.000000 0.00000 NaN NaN NaN + initial design #2 : 0.333333 -0.43063 NaN NaN NaN + initial design #3 : 0.666667 -0.66886 NaN NaN NaN + initial design #4 : 1.000000 -1.20558 0.0000 -0.1974 1974 + MC point #06145 : 0.104281 -0.13308 0.0000 -0.1974 1974 + MC point #06665 : 0.497568 0.26522 0.1015 -0.0959 1651 + MC point #05171 : 0.446683 0.26122 0.1059 -0.0915 1409 + MC point #02494 : 0.419546 0.07530 0.0864 -0.1110 1216 + MC point #02204 : 0.520346 0.10061 0.0811 -0.1163 1163 + MC point #04411 : 0.514341 0.15239 0.0811 -0.1163 1163 + MC point #07226 : 0.429089 0.15012 0.0812 -0.1162 1162 + MC point #07088 : 0.828052 0.43018 0.2060 0.0086 724 + MC point #09414 : 0.892437 -0.41976 0.1934 -0.0040 40 + MC point #09893 : 0.739920 0.18842 0.1962 -0.0012 12 + MC point #00490 : 0.852922 0.16819 0.1973 -0.0001 1 + MC point #04415 : 0.736600 0.14940 0.1973 -0.0001 1 + MC point #00678 : 0.854326 0.15001 0.1974 0.0000 0 + MC point #01751 : 0.042054 0.00865 0.1974 0.0000 0 + MC point #09363 : 0.205813 0.14336 0.1974 0.0000 0 + MC point #06029 : 0.196887 0.13531 0.1974 0.0000 0 + MC point #06683 : 0.219729 0.13148 0.1974 0.0000 0 + MC point #00678 : 0.854326 0.15001 0.1974 0.0000 0 -Additional help for built-in functions and operators is -available in the online version of the manual. Use the command -'doc ' to search the manual index. +Final result: +| Number of evaluations: 4 + 18 = 22. +| Volume estimate (plugin): 19.7400% [ref: 19.7400%] -Help and information about Octave is also available on the WWW -at https://www.octave.org and via the help@octave.org -mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe05.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe05.m @@ -6175,26 +7706,26 @@ | n = 5 + 0 = 5. - 15 +|+ - 10 +|+#%%%%%### ###%%%%## - &|&&&&&&&&&&%#######%%%%%########%%&========&&&&&&%%%###### - 5 +|+****####&&&&&&&&&&&&&&&&&&%&&&====##******G*##&&&&&&%### - z 0 +|+===*********G*****#######&&**********###&&&=******#&&&&%## - -5 +|+&&&&&&&&&&&&&&&==**********G&&###&&&&&&&%%%&&===#****#&&&& - #|###%%%%%%%%%%%%&&&&&&&&&&&&&&%%&&&&%%%#########%===&##****G - -10 +|------------------------------------------------------------ - -15 +-+#######+#########+#########+#########+#########+#########+ + 15 +|+ ### + 10 +|+ ##%%%%%%### ##%%%%%### ##%%%&&&&&%%######## + 5 +|+&&&&&&&&&&&&&&&&&&&&&&&&&%%#%%&&==========G&&&&&&&%%#### + 0 +|+=***********G*********##&&&&==******************##&&&&%# + z G|**######&&&&&&========******G***####&&&&&&&&&===#*****&&&&& + -5 +|+&&&&&&&&%%####%%&&&&&===&&&&&&&&&&&&%%#######%&===##****** + -10 +|+################################################%=======&G + -15 +|------------------------------------------------------------ + -20 +-+#######+#########+#########+#########+#########+######## + 0 2 4 6 8 10 12 |-----------------------------------------------------------| - 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15 +|+ - 10 +|+#%%%%%### ##%%%%%%%# - &|&&&&&&&&&&%########%%%#########%&&========&%############# - 5 +|+****####&&&&&&&&&&&&&&&&&&%&&&====********G=&%########## - z 0 +|+===*********G****########&&********###&&&&****&%######## - -5 +|+&&&&&&&&&&&&&&&==**********G&&&&&&&&&&&%%%&&&***&&######&G - #|####%%%%%%%%%%%&&&&&&&&&&&&&&%%%%%%%%#########%&*G**&&&&**G + 15 +|+ ##### + 10 +|+ ###%%### ######## ##%%%&&%%%# + #|#%%&&&&&&&&&&%%&&&&&&&&%%%#####%&&========&&&%########### + 5 +|+&&#########&G&########&&&&&&&&====********G*&&&######### + z 0 +|+***************************G******####&&&&&****&&####### + -5 +|+&&####&&&&&&&&&=============&&&&&&&&&&&%%##%&=***G%##### # + %|%%&&&&&%%%######%%%&&&&&&&%%%%%%%%%%%##########&==**G&&&==G -10 +|------------------------------------------------------------ - -15 +-+#######+#########+#########+#########+#########+###%%G## + + -15 +-+#######+#########+#########+#########+#########+####G%%%#+ 0 2 4 6 8 10 12 |-----------------------------------------------------------| - 0.03 +|+ + + + + + +-+| - 0.025 +|+ + + + + +F* * +-+| - #|################################################*#*##*### | - 0.02 +|+###############################################*##*#*##+-+| - AKG0.015 +|+##############################################*###*#*##+-+| - 0.01 +|+##############################################*###*#*##**+| - #|##############################################**###***#*** | - 0.005 +|-----------------------------------------------------------| - 0 *********************####***********************##+####**#+-+ + 0.05 +|+ + + + + + F+-+| + +| + + + + + ** +| + 0.04 +|+######################################################**-+| + 0.03 +|+######################################################**-+| + AKG #|#######################################################** *| + 0.02 +|+######################################################****| + 0.01 +|+######################################################*+-+| + +|-----------------------------------------------------------| + 0 ******************************************************##**+-+ 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign @@ -6235,26 +7766,26 @@ | n = 5 + 10 = 15. - 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15 +|+ ####### ######## - 10 +|+&&&&&&&%%######################%%&&&&&&&%############### - 5 +|+&#####&&&&&%#################%&&==========&&############ - z G|***********===&&&&%%#####%%&&&==***********G*=&%######### - 0 +|+=&#######***G****===&&&&=**G****####&&&&&&&&***&%####### G - -5 +|+%%&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%%####%&**G*G###GG** + 15 +|+ ##### ### ######## + 10 +|+##%%%%%%%%#####%%%%%%%%########%%&&&&&&&&%############## + 5 +|+&&&&&&&&&&&&&&&&&&&&&&&&&%##%%&&==========&&&%########## + z &|&====********G******#####&&&&&==***********G**&&%######## + 0 +|+*****####&&&======*********G****#####&&&&&&&=***&####### G + -5 +|+&&&&&&&&&&%###%&&&&======&&&&&&&&&&&&%%#####%&=**GGGG##G*G -10 +|------------------------------------------------------------ - -15 +-+#######+#########+#########+#########+#########+#####G#G + + -15 +-+#######+#########+#########+#########+#########+####G### + 0 2 4 6 8 10 12 |-----------------------------------------------------------| - 0.04 +|+ + + + + + +-+| - 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15 +|+ ####### ######## - 10 +|+&&&&&&&%%######################%%&&&&&&&%############### - 5 +|+&#####&&&&&%#################%&&==========&&############ - z G|***********===&&&&%%#####%%&&&==***********G*=&%######### - 0 +|+=&#######***G****===&&&&=**G****####&&&&&&&&***&%####### G - -5 +|+%%&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%#####%&**G*G###GG** + 15 +|+ ##### ### ######## + 10 +|+##%%%%%%%%#####%%%%%%%%########%%&&&&&&&&%############## + 5 +|+&&&&&&&&&&&&&&&&&&&&&&&&&%##%%&&==========&&&%########## + z &|&====********G******#####&&&&&==***********G**&&%######## + 0 +|+****#####&&&======*********G****#####&&&&&&&=***&####### G + -5 +|+&&&&&&&&&&%###%&&&&======&&&&&&&&&&&&%%#####%&=**GGGG##G*G -10 +|------------------------------------------------------------ - -15 +-+#######+#########+#########+#########+#########+##G##G#G + + -15 +-+#######+#########+#########+#########+#########+####G### + 0 2 4 6 8 10 12 |-----------------------------------------------------------| - 0.03 +|+ + + + + + +-+| - 0.025 +|+ + + + + + F+-+| - #|###################################################**##** | - 0.02 +|+##################################################**##**-+| - AKG0.015 +|+#################################################*#*#*#*-+| - 0.01 +|+#################################################*#*#*#*-+| - #|##################################################*##**#* | - 0.005 +|-----------------------------------------------------------| - 0 *********************#####**************************###*##+** + 0.02 +|+ + + + + + * F-+| + +| + + + + + * ** +| + 0.015 +|+##################################################*#*#**-+| + #|###################################################*#*#** | + AKG 0.01 +|+##################################################*#*#*+*+| + #|####################***############################*#*#*#* | + 0.005 +|+###***############**#**##########################*##**#+*+| + +|-----------------------------------------------------------| + 0 *****#####***********######**************************###*#+-* 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign @@ -6446,25 +7977,25 @@ | n = 5 + 45 = 50. 20 +|+ - 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0.01 +|+ + + + + + F *+-+| - #|###################################################**##** | - 0.008 +|+##################################################**##**-+| - AKG0.006 +|+##################################################**##**-+| - 0.004 +|+##################################################**#*#*-+| - #|##################################################*#***#* | - 0.002 +|-----------------------------------------------------------| - 0 ********##**********+######**************************##**#*** + 0.02 +|+ + + + + + +-+| + +| + + + + + * F* +| + 0.015 +|+##################################################**##**-+| + #|###################################################*#*#** | + AKG 0.01 +|+##################################################*#*#**-+| + #|####################***############################*#**#* | + 0.005 +|+###***############**##*###########################*#**#+*+| + +|-----------------------------------------------------------| + 0 *****#####***********######**************************##*##+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign @@ -6476,25 +8007,25 @@ | n = 5 + 50 = 55. 20 +|+ - 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+| + + + + + +| - 0.015 +|+######################################################F+-+| - #|###################################################*##**# | - AKG 0.01 +|+#################################################*#*#*#*-+| - #|##################################################*#**##* | - 0.005 +|+#################################################*#**##*-+| - +|-----------------------------------------------------------| - 0 ********##**********+##*##**************************###*##*** + 0.012 +|+ + + + + + +-+| + 0.01 +|+ + + + + + F+-+| + #|####################################################*##** | + 0.008 +|+###################***############################*#*#**-+| + AKG0.006 +|+###################*#**###########################*#*#**-+| + 0.004 +|+###***############*###*###########################*#**#*-+| + #|###*##**###########*####*##########################*#**#* | + 0.002 +|-----------------------------------------------------------| + 0 *****#####***********######********###***************##*##+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign @@ -6506,25 +8037,25 @@ | n = 5 + 55 = 60. 20 +|+ - 15 +|+######## ###%%### - 10 +|+&&&&&&&%%######################%%&&&&&&&&############### - 5 +|+&######&&&&%#################%&&==========&&%########### - z G|***********===&&&&%%####%%%&&&==***********G*=&&######### - 0 +|+=&#######***G****===&&&&=**G****#####&&&&&&&***&%####### G - -5 +|+%&&&&&&&&&&&&&&&****G****&&&&&&&&&&&&&%%####%&**G*G###GG** + 15 +|+ ##### #### ######## + 10 +|+##%%%%%%%%#####%%%%%%%%########%%&&&&&&&&%############## + 5 +|+&&&&&&&&&&&&&&&&&&&&&&&&&%##%%&&==========&&&%########## + z &|&====********G******#####&&&&&==***********G**&&%######## + 0 +|+*****####&&&======*********G****#####&&&&&&&=***&####### G + -5 +|+&&&&&&&&&&%###%&&&&======&&&&&&&&&&&&%%#####%&=**GGGG#GG*G -10 +|------------------------------------------------------------ - -15 +-+#######+#########+#########+#########+#########+##G##G#G + + -15 +-+#######+#########+#########+#########+#########+####G#G# + 0 2 4 6 8 10 12 |-----------------------------------------------------------| - 0.014 +|+ + + + + + +-+| - 0.012 +|+ + + + + + F **+-+| - 0.01 +|+##################################################**#**+-+| - 0.008 +|+#################################################*#*#*#*-+| - AKG #|##################################################*#*#*#* | - 0.006 +|+#################################################*#*#*#*-+| - 0.004 +|+#################################################*##*##*-+| + 0.014 +|+ + + + + + F *+-+| + 0.012 +|+ + + + + + * **-+| + 0.01 +|+###################################################**#**-+| + 0.008 +|+####################**############################*#*#**-+| + AKG #|####################***############################*#*#** | + 0.006 +|+###***############**##*###########################*#**#*-+| + 0.004 +|+##**#**###########*###**##########################*#**#*-+| 0.002 +|-----------------------------------------------------------| - 0 *******###**********+######*********#***************###*##*** + 0 *****#####***********######********###***************##*##+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign @@ -6536,25 +8067,25 @@ | n = 5 + 60 = 65. 20 +|+ - 15 +|+ ####### ###%%### - 10 +|+&&&&&&&%%######################%%&&&&&&&&############### - 5 +|+&######&&&&%#################%&&==========&&############ - z G|***********===&&&&%%####%%%&&&==***********G*=&&######### - 0 +|+=&#######***G****===&&&&=**G****#####&&&&&&&***&%####### G - -5 +|+%&&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%%####%&**G*G###GG** + 15 +|+ ##### #### ######## + 10 +|+##%%%%%%%%#####%%%%%%%%########%%&&&&&&&&%############## + 5 +|+&&&&&&&&&&&&&&&&&&&&&&&&&%##%%&&==========&&&%########## + z &|&====********G******#####&&&&&==***********G**&&%######## + 0 +|+*****####&&&======*********G****#####&&&&&&&=***&####### G + -5 +|+&&&&&&&&&&%###%&&&&======&&&&&&&&&&&&%%#####%&=**GGGG#GG*G -10 +|------------------------------------------------------------ - -15 +-+#######+#########+#########+#########+#########+##G##G#G + + -15 +-+#######+#########+#########+#########+#########+####G#G# + 0 2 4 6 8 10 12 |-----------------------------------------------------------| - 0.012 +|+ + + + + + * F+-+| - 0.01 +|+ + + + + + ** **+-+| - #|##################################################*#*#**# | - 0.008 +|+#################################################*#*#*#*-+| - AKG0.006 +|+#################################################*#*#*#*-+| - 0.004 +|+#################################################*#**##*-+| - #|##################################################*##*##* | - 0.002 +|-----------------------------------------------------------| - 0 *******###**********+######*********#***************###*##*** + 0.008 +|+ + + F* + + + *+-+| + +| + + *** + + + * ** +| + 0.006 +|+###################*##*############################**#**-+| + #|####***############**##*###########################*#*#** | + AKG0.004 +|+##**#*############*###*###########################*#**#*-+| + #|###*##**###########*####*##########################*#**#* | + 0.002 +|+##*###*##########**####*##########################*#**#*-+| + +|-----------------------------------------------------------| + 0 ****######+*********+######********####**************##*##+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign @@ -6566,25 +8097,25 @@ | n = 5 + 65 = 70. 20 +|+ - 15 +|+ ####### ###%%### - 10 +|+&&&&&&&%%######################%%&&&&&&&&############### - 5 +|+&######&&&&%#################%&&==========&&############ - z G|***********===&&&&%%####%%%&&&==***********G*=&&######### - 0 +|+=&#######***G****===&&&&=**G****#####&&&&&&&***&%####### G - -5 +|+%&&&&&&&&&&&&&&&****G****&&&&&&&&&&&&%%%####%&**G*G###GG** + 15 +|+ ##### ######## + 10 +|+##%%%%%%%%#####################%%&&&&&&&&%############## + 5 +|+&&&&&&&&&&&&&&&&&&&%%#######%%&&==========&&&%########## + z &|&====********G*******&&&&&&&&&==***********G**&&%######## + 0 +|+*****####&&&========G******G****#####&&&&&&&=***&####### G + -5 +|+&&&&&&&&&&%####%%%%======&&&&&&&&&&&&%%#####%&=**GGGG#GG*G -10 +|------------------------------------------------------------ - -15 +-+#######+#########+#########+#########+#########+##G##G#G + + -15 +-+#######+#########+#########+#########+#########+####G#G# + 0 2 4 6 8 10 12 |-----------------------------------------------------------| - 0.014 +|+ + + + + + +-+| - 0.012 +|+ + + + + + F* **+-+| - 0.01 +|+##################################################**#**+-+| - 0.008 +|+#################################################*#*#*#*-+| - AKG #|##################################################*#*#*#* | - 0.006 +|+#################################################*##*##*-+| - 0.004 +|+#################################################*##*##*-+| + 0.012 +|+ + + + + + +-+| + 0.01 +|+ + + + + + * F*-+| + #|####################################################*##** | + 0.008 +|+###################################################**#**-+| + AKG0.006 +|+###################################################**#**-+| + 0.004 +|+###***############################################*#*#**-+| + #|###**#**###########################################*#**#* | 0.002 +|-----------------------------------------------------------| - 0 *******###**********+######*********#***************###*##**+ + 0 *****#####*************************###****************#*##+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign @@ -6596,25 +8127,25 @@ | n = 5 + 70 = 75. 20 +|+ - | ##%%%%### ##%%%%%## - 10 +|+&&&&&&&&&%####################%&&&&====&&&%############# - G|****#####&&&&&%%############%&&=====*******G=&%########## - z 0 +|+===*********G**==&&&&&&&&&=G*******####&&&****&&######## - #|%&&&&&&&&&&&&&&******G*******&&&&&&&&&&&%%##&&&**G&G###GG*G - -10 +|+##%%%%%%%%####%&&&&&&&&&&&%##%%%%%%%##########%&G*GGG*GG*G - +|------------------------------------------------------------ - -20 +-+#######+#########+#########+#########+#########+######## + + 15 +|+ ### ####### + 10 +|+##%%%%%%%%#####################%%&&&&&&&&%############## + 5 +|+&&&&&&&&&&&&&&&&&&&%%#######%%&&==========&&&%########## + z &|&====********G*******&&&&&&&&&==***********G**&&%######## + 0 +|+*****####&&&========G******G****#####&&&&&&&=***&####### G + -5 +|+&&&&&&&&&&%####%%%%======&&&&&&&&&&&&%%#####%&=**GGGG#GG*G + -10 +|------------------------------------------------------------ + -15 +-+#######+#########+#########+#########+#########+####G#G# + 0 2 4 6 8 10 12 |-----------------------------------------------------------| - 0.014 +|+ + + + + + F+-+| - 0.012 +|+ + + + + + ** **+-+| - 0.01 +|+##################################################**#**+-+| - 0.008 +|+#################################################*#*#*#*-+| - AKG #|##################################################*#*#*#* | - 0.006 +|+#################################################*##*##*-+| - 0.004 +|+#################################################*##*##*-+| - 0.002 +|-----------------------------------------------------------| - 0 *******###**********+######*************************###*##**+ + 0.02 +|+ + + + + + +-+| + +| + + + + + F ** +| + 0.015 +|+###################################################**#**-+| + #|####################################################**#** | + AKG 0.01 +|+##################################################*#*#**-+| + #|###################################################*#*#** | + 0.005 +|+##################################################*#**#+*+| + +|-----------------------------------------------------------| + 0 ******###********************************************###*#+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign @@ -6626,25 +8157,25 @@ | n = 5 + 75 = 80. 20 +|+ - | ##%%%%### ##%%%%%## - 10 +|+&&&&&&&&&%####################%&&&&====&&&%############# - G|****#####&&&&&%%############%&&=====*******G=&%########## - z 0 +|+===*********G**==&&&&&&&&&=G*******####&&&****&&######## - #|%&&&&&&&&&&&&&&******G*******&&&&&&&&&&&%%##&&&**G&G###GG*G - -10 +|+##%%%%%%%%####%&&&&&&&&&&&%##%%%%%%%##########%&G*GGG*GG*G - +|------------------------------------------------------------ - -20 +-+#######+#########+#########+#########+#########+######## + + 15 +|+ ### ####### + 10 +|+##%%%%%%%%#####################%%&&&&&&&&%############## + 5 +|+&&&&&&&&&&&&&&&&&&&%%#######%%&&==========&&&%########## + z &|&====********G*******&&&&&&&&&==***********G**&&%######## + 0 +|+*****####&&&========G******G****#####&&&&&&&=***&####### G + -5 +|+&&&&&&&&&&%####%%%%======&&&&&&&&&&&&%%#####%&=**GGGG#GG*G + -10 +|------------------------------------------------------------ + -15 +-+#######+#########+#########+#########+#########+###GG#G# + 0 2 4 6 8 10 12 |-----------------------------------------------------------| - 0.012 +|+ + + + + + F* *+-+| - 0.01 +|+ + + + + + ** **+-+| - #|###################################################**#**# | - 0.008 +|+#################################################*#*#*#*-+| - AKG0.006 +|+#################################################*#*#*#*-+| - 0.004 +|+#################################################*##*##*-+| - #|##################################################*##*##* | - 0.002 +|-----------------------------------------------------------| - 0 *******###**********+######*********#***************###*##**+ + 0.02 +|+ + + + + + +-+| + +| + + + + + +| + 0.015 +|+###################################################F##**-+| + #|####################################################**#** | + AKG 0.01 +|+###################################################**#**-+| + #|###################################################*#*#** | + 0.005 +|+##################################################*#**#*-+| + +|-----------------------------------------------------------| + 0 ******###*********************************************#**#+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign @@ -6656,25 +8187,25 @@ | n = 5 + 80 = 85. 20 +|+ - | ##%%%%### ##%%%%%## - 10 +|+&&&&&&&&&%####################%%&&&====&&&%############# - G|****#####&&&&&%%############%&&====********G=&%########## - z 0 +|+===*********G**==&&&&&&&&&=G*******###&&&&****&&######## - #|%&&&&&&&&&&&&&&******G*******&&&&&&&&&&&%%##&&&**G&G###GG*G - -10 +|+##%%%%%%%#####%&&&&&&&&&&&%###%%%%%%##########%&G*GGG*GG*G - +|------------------------------------------------------------ - -20 +-+#######+#########+#########+#########+#########+######## + + 15 +|+ ### ####### + 10 +|+##%%%%%%%%#####################%%&&&&&&&&%############## + 5 +|+&&&&&&&&&&&&&&&&&&&%%#######%%&&==========&&&%########## + z &|&====********G*******&&&&&&&&&==***********G**&&%######## + 0 +|+*****####&&&========G******G****#####&&&&&&&=***&####### G + -5 +|+&&&&&&&&&&%####%%%%======&&&&&&&&&&&&%%#####%&=**GGGG#GG*G + -10 +|------------------------------------------------------------ + -15 +-+#######+#########+#########+#########+#########+###GG#G# + 0 2 4 6 8 10 12 |-----------------------------------------------------------| - 0.008 +|+ + + + + + F* *+-+| - +| + + + + + ** ** +| - 0.006 +|+##################################################**#**+-+| - #|###################################################**#**# | - AKG0.004 +|+#################################################*#*#*#*-+| - #|##################################################*#*#*#* | - 0.002 +|+#################***#***#########################*##*##*-+| - +|-----------------------------------------------------------| - 0 *******###+********#+######********###***************##*##*** + 0.012 +|+ + + + + + +-+| + 0.01 +|+ + + + + + F +-+| + #|####################################################**#** | + 0.008 +|+###################################################**#**-+| + AKG0.006 +|+###################################################**#**-+| + 0.004 +|+##################################################*#*#**-+| + #|####***############################################*#**** | + 0.002 +|-----------------------------------------------------------| + 0 *****#####********************************************#**#+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign @@ -6686,25 +8217,25 @@ | n = 5 + 85 = 90. 20 +|+ - | ##%%%%### ##%%%%%## - 10 +|+&&&&&&&&&%####################%&&&&====&&&%############# - G|****#####&&&&&%%############%&&====********G=&%########## - z 0 +|+===*********G**==&&&&&&&&&=G*******###&&&&****&&######## - #|%&&&&&&&&&&&&&&******G*******&&&&&&&&&&&%%#%&&&**G&GG##GG*G - -10 +|+###%%%%%%#####%&&&&&&&&&&&%###%%%%%%##########%&G*GGG*GG*G - +|------------------------------------------------------------ - -20 +-+#######+#########+#########+#########+#########+######## + + 15 +|+ ### ####### + 10 +|+##%%%%%%%%#####################%%&&&&&&&&%############## + 5 +|+&&&&&&&&&&&&&&&&&&&%%#######%%&&==========&&&%########## + z &|&====********G*******&&&&&&&&&==***********G**&&%######## + 0 +|+*****####&&&========G******G****#####&&&&&&&=***&####### G + -5 +|+&&&&&&&&&&%####%%%%======&&&&&&&&&&&&%%#####%&=**GGGG#GG*G + -10 +|------------------------------------------------------------ + -15 +-+#######+#########+#########+#########+#########+###GG#G# + 0 2 4 6 8 10 12 |-----------------------------------------------------------| - 0.006 +|+ + + + + + +-+| - 0.005 +|+ + + + + + F +-+| - #|###################################################**#### | - 0.004 +|+##################################################**##*+-+| - AKG0.003 +|+##################################################**#**+-+| - 0.002 +|+#################***#**###########################*#**#*-+| - #|#####***#########**#***#*##########################*#**#* | - 0.001 +|-----------------------------------------------------------| - 0 ******####+********#+######********###***************##*##*** + 0.008 +|+ + + + + + * F+-+| + +| + + + + + ** ** +| + 0.006 +|+###################################################**#**-+| + #|####################################################**#** | + AKG0.004 +|+###################################################**#**-+| + #|####***############################################*#**** | + 0.002 +|+##*##**###########################################*#**#*-+| + +|-----------------------------------------------------------| + 0 *****#####*************************###****************#*##+** 0 2 4 6 8 10 12 x line 0: warning: iconv failed to convert degree sign @@ -6716,168 +8247,164 @@ | n = 5 + 90 = 95. 20 +|+ - | ##%%%%### #%%%%%%## - 10 +|+&&&&&&&&&%####################%&&&&====&&&%############# - G|****#####&&&&&%%############%&&=====*******G=&%########## - z 0 +|+==**********G**==&&&&&&&&&=G********###&&&****&&######## - #|%&&&&&&&&&&&&&&******G*******&&&&&&&&&&&%%##&&&**G&GG##GG*G - -10 +|+##%%%%%%%%####%&&&&&&&&&&&%##%%%%%%%%#########%&G*GGG*GG*G - +|------------------------------------------------------------ - -20 +-+#######+#########+#########+#########+#########+######## + + 15 +|+ ## ####### + 10 +|+##%%%%%%%%#####################%%&&&&&&&&%############## + 5 +|+&&&&&&&&&&&&&&&&&&&%%#######%%&&==========&&&########### + z &|&====********G*******&&&&&&&&&==***********G**&&######### + 0 +|+*****####&&&========G******G****####&&&&&&&&=***&####### G + -5 +|+&&&&&&&&&&%####%%%%======&&&&&&&&&&&&%%#####%&=**GGGG#GG*G + -10 +|------------------------------------------------------------ + -15 +-+#######+#########+#########+#########+#########+###GG#G# + 0 2 4 6 8 10 12 |-----------------------------------------------------------| - 0.004 +|+ + + + + + F +-+| - +| + + + + + * +| - 0.003 +|+##################################################**##*+-+| - #|###################################################**#**# | - AKG0.002 +|+#################**###############################*#***+-+| - #|#####***##########***#***##########################*#***# | - 0.001 +|+###**##*########*##***#**#######***###############*#**#*-+| - +|-----------------------------------------------------------| - 0 ******####+********#+######*******#####**************##*##*** + 0.014 +|+ + + + + + +-+| + 0.012 +|+ + + + + + * F*-+| + 0.01 +|+###################################################**#**-+| + 0.008 +|+###################################################**#**-+| + AKG #|####################################################**#** | + 0.006 +|+##################################################*#*#**-+| + 0.004 +|+##################################################*#**#*-+| + 0.002 +|-----------------------------------------------------------| + 0 *****####*********************************************#**#+** 0 2 4 6 8 10 12 x : x z - init001 : 0.00000 3.7039 - init002 : 3.00000 -0.9473 - init003 : 6.00000 -2.2710 - init004 : 9.00000 3.4289 - init005 : 12.00000 -9.2798 - xg(186) : 11.15578 -14.9669 - xg(179) : 10.73367 -11.6535 - xg(190) : 11.39698 -9.4329 - xg(200) : 12.00000 -2.5027 - xg(171) : 10.25126 -6.1037 - xg(171) : 10.25126 -10.1250 - xg(171) : 10.25126 -6.7112 - xg(193) : 11.57789 -12.8714 - xg(183) : 10.97487 -11.6391 - xg(195) : 11.69849 -10.0291 - xg(177) : 10.61307 -7.3100 - xg(077) : 4.58291 -6.5734 - xg(178) : 10.67337 -10.1948 - xg(192) : 11.51759 -8.0594 - xg(192) : 11.51759 -6.1169 - xg(178) : 10.67337 -8.2976 - xg(191) : 11.45729 -7.0694 - xg(178) : 10.67337 -9.4998 - xg(191) : 11.45729 -10.3550 - xg(178) : 10.67337 -10.2143 - xg(192) : 11.51759 -11.8253 - xg(177) : 10.61307 -7.0746 - xg(192) : 11.51759 -9.2762 - xg(177) : 10.61307 -7.0468 - xg(192) : 11.51759 -9.1066 - xg(178) : 10.67337 -8.3727 - xg(191) : 11.45729 -9.6820 - xg(178) : 10.67337 -10.4754 - xg(191) : 11.45729 -9.4405 - xg(178) : 10.67337 -12.3130 - xg(191) : 11.45729 -8.4030 - xg(178) : 10.67337 -11.5627 - xg(191) : 11.45729 -10.6504 - xg(178) : 10.67337 -7.3638 - xg(191) : 11.45729 -10.2069 - xg(178) : 10.67337 -8.0383 - xg(191) : 11.45729 -7.1806 - xg(178) : 10.67337 -9.6088 - xg(191) : 11.45729 -9.0204 - xg(178) : 10.67337 -14.8329 - xg(191) : 11.45729 -11.4672 - xg(178) : 10.67337 -11.7155 - xg(191) : 11.45729 -11.2875 - xg(178) : 10.67337 -13.1437 - xg(191) : 11.45729 -7.0824 - xg(178) : 10.67337 -10.9160 - xg(191) : 11.45729 -7.0834 - xg(184) : 11.03518 -12.4574 - xg(189) : 11.33668 -11.1196 - xg(190) : 11.39698 -9.4304 - xg(189) : 11.33668 -10.8686 - xg(189) : 11.33668 -9.8496 - xg(189) : 11.33668 -8.9696 - xg(189) : 11.33668 -10.7618 - xg(178) : 10.67337 -9.2799 - xg(178) : 10.67337 -10.6340 - xg(189) : 11.33668 -10.3798 - xg(189) : 11.33668 -7.0536 - xg(189) : 11.33668 -11.2408 - xg(178) : 10.67337 -11.8147 - xg(189) : 11.33668 -8.4267 - xg(178) : 10.67337 -9.3950 - xg(189) : 11.33668 -9.9620 - xg(178) : 10.67337 -8.1294 - xg(189) : 11.33668 -10.0787 - xg(178) : 10.67337 -12.9461 - xg(189) : 11.33668 -15.8138 - xg(178) : 10.67337 -7.0738 - xg(178) : 10.67337 -12.4528 - xg(189) : 11.33668 -7.3634 - xg(189) : 11.33668 -8.2205 - xg(178) : 10.67337 -7.2940 - xg(189) : 11.33668 -11.3850 - xg(178) : 10.67337 -9.8108 - xg(189) : 11.33668 -9.7642 - xg(178) : 10.67337 -8.3360 - xg(178) : 10.67337 -10.5802 - xg(189) : 11.33668 -9.6662 - xg(189) : 11.33668 -11.3729 - xg(178) : 10.67337 -8.5443 - xg(178) : 10.67337 -9.6417 - xg(178) : 10.67337 -11.4160 - xg(189) : 11.33668 -12.5770 - xg(178) : 10.67337 -7.2572 - xg(179) : 10.73367 -6.3216 - xg(179) : 10.73367 -12.0330 - xg(179) : 10.73367 -14.4216 - xg(189) : 11.33668 -11.3778 - xg(189) : 11.33668 -10.0141 - xg(189) : 11.33668 -14.6501 - xg(179) : 10.73367 -7.8722 - xg(179) : 10.73367 -10.7057 - xg(179) : 10.73367 -8.6235 - xg(180) : 10.79397 -10.7179 - xg(179) : 10.73367 -10.0188 + init001 : 0.00000 -0.9720 + init002 : 3.00000 2.2249 + init003 : 6.00000 -1.3279 + init004 : 9.00000 4.3367 + init005 : 12.00000 -9.3676 + xg(187) : 11.21608 -11.1604 + xg(180) : 10.79397 -8.6127 + xg(200) : 12.00000 -8.3615 + xg(182) : 10.91457 -14.2400 + xg(173) : 10.37186 -5.0031 + xg(191) : 11.45729 -9.9886 + xg(200) : 12.00000 -3.8384 + xg(176) : 10.55276 -8.9917 + xg(175) : 10.49246 -10.3080 + xg(194) : 11.63819 -9.3317 + xg(192) : 11.51759 -8.1516 + xg(192) : 11.51759 -11.6627 + xg(177) : 10.61307 -10.7890 + xg(192) : 11.51759 -11.2371 + xg(177) : 10.61307 -9.0695 + xg(192) : 11.51759 -12.0618 + xg(178) : 10.67337 -7.5820 + xg(192) : 11.51759 -11.4375 + xg(185) : 11.09548 -7.2229 + xg(181) : 10.85427 -8.1245 + xg(181) : 10.85427 -11.0530 + xg(194) : 11.63819 -8.8425 + xg(180) : 10.79397 -9.7548 + xg(180) : 10.79397 -10.1082 + xg(193) : 11.57789 -12.6397 + xg(181) : 10.85427 -10.7463 + xg(194) : 11.63819 -7.4593 + xg(193) : 11.57789 -12.3662 + xg(181) : 10.85427 -10.7516 + xg(180) : 10.79397 -7.5111 + xg(181) : 10.85427 -12.1869 + xg(193) : 11.57789 -7.4411 + xg(192) : 11.51759 -10.8604 + xg(192) : 11.51759 -9.8000 + xg(180) : 10.79397 -10.7840 + xg(192) : 11.51759 -9.9371 + xg(192) : 11.51759 -12.2067 + xg(180) : 10.79397 -9.4439 + xg(180) : 10.79397 -9.1175 + xg(192) : 11.51759 -6.8553 + xg(192) : 11.51759 -8.1438 + xg(180) : 10.79397 -9.9024 + xg(192) : 11.51759 -8.1429 + xg(180) : 10.79397 -12.4581 + xg(192) : 11.51759 -8.1229 + xg(191) : 11.45729 -10.0564 + xg(180) : 10.79397 -12.7119 + xg(191) : 11.45729 -11.7762 + xg(180) : 10.79397 -12.7339 + xg(191) : 11.45729 -10.6598 + xg(191) : 11.45729 -8.1569 + xg(190) : 11.39698 -13.1625 + xg(180) : 10.79397 -9.0588 + xg(180) : 10.79397 -7.2233 + xg(180) : 10.79397 -11.7920 + xg(180) : 10.79397 -11.9632 + xg(191) : 11.45729 -8.5742 + xg(191) : 11.45729 -12.8369 + xg(180) : 10.79397 -11.1708 + xg(191) : 11.45729 -8.4074 + xg(078) : 4.64322 0.2049 + xg(191) : 11.45729 -13.7117 + xg(181) : 10.85427 -12.1460 + xg(180) : 10.79397 -8.6257 + xg(181) : 10.85427 -11.0934 + xg(191) : 11.45729 -11.2605 + xg(181) : 10.85427 -9.1240 + xg(191) : 11.45729 -10.3707 + xg(181) : 10.85427 -11.0277 + xg(191) : 11.45729 -13.6778 + xg(181) : 10.85427 -14.2564 + xg(181) : 10.85427 -9.2309 + xg(191) : 11.45729 -13.6053 + xg(181) : 10.85427 -12.2575 + xg(191) : 11.45729 -10.0214 + xg(181) : 10.85427 -10.2504 + xg(191) : 11.45729 -9.2331 + xg(181) : 10.85427 -9.0875 + xg(191) : 11.45729 -5.1982 + xg(191) : 11.45729 -12.3442 + xg(181) : 10.85427 -12.5662 + xg(181) : 10.85427 -9.8463 + xg(191) : 11.45729 -8.0077 + xg(191) : 11.45729 -9.5119 + xg(181) : 10.85427 -7.5714 + xg(191) : 11.45729 -10.1194 + xg(181) : 10.85427 -10.0332 + xg(191) : 11.45729 -11.4904 + xg(181) : 10.85427 -10.4281 + xg(181) : 10.85427 -7.4724 + xg(191) : 11.45729 -10.4064 + xg(181) : 10.85427 -9.6100 + xg(191) : 11.45729 -8.8806 + xg(181) : 10.85427 -9.8023 + xg(191) : 11.45729 -11.4770 Number of evaluations: 5 + 95 = 100. 1 test, 1 passed, 0 known failure, 0 skipped -[inst/examples/02_design_of_experiments/stk_example_doe06.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe06.m -***** test stk_example_doe06; close all; +[inst/examples/02_design_of_experiments/stk_example_doe02.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/02_design_of_experiments/stk_example_doe02.m +***** test stk_example_doe02; close all; #=========================# -# stk_example_doe06 # +# stk_example_doe02 # #=========================# -'stk_example_doe06' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe06.m - - STK_EXAMPLE_DOE06 Sequential design for the estimation of an excursion set +'stk_example_doe02' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/02_design_of_experiments/stk_example_doe02.m - In this example, we consider the problem of estimating the set + STK_EXAMPLE_DOE02 "Sequential Maximin" design - Gamma = { x in X | f(x) > z_crit }, + In this example, a two-dimensional space-filling design is progressively + enriched with new points using a "sequential maximin" approach. More + precisely, the k-th point X(k, :) is selected to maximize the distance to the + set of all previously selected points X(1, :), X(2, :), ..., X(k-1, :). - where z_crit is a given value, and/or its volume. + NOTES: - In a typical "structural reliability analysis" problem, Gamma would - represent the failure region of a certain system, and its volume would - correspond to the probability of failure (assuming a uniform distribution - for the input). + * The resulting design is NOT optimal with respect to the maximin criterion + (separation distance). - A Matern 5/2 prior with known parameters is used for the function f, and - the evaluations points are chosen sequentially using any of the sampling - criterion described in [1] (see also [2], section 4.3). + * This procedure is not truly a *sequential* design procedure, since the + choice of the k-th point X(k, :) does NOT depend on the response at the + previously selected locations X(i, :), i < k. REFERENCE - [1] B. Echard, N. Gayton and M. Lemaire (2011). AK-MCS: an active - learning reliability method combining Kriging and Monte Carlo - simulation. Structural Safety, 33(2), 145-154. - - [2] J. Bect, D. Ginsbourger, L. Li, V. Picheny and E. Vazquez (2012). - Sequential design of computer experiments for the estimation of a - probability of failure. Statistics and Computing, 22(3), 773-793. + [1] Emmanuel Vazquez and Julien Bect, "Sequential search based on kriging: + convergence analysis of some algorithms", In: ISI - 58th World + Statistics Congress of the International Statistical Institute (ISI'11), + Dublin, Ireland, August 21-26, 2011. Additional help for built-in functions and operators is @@ -6887,597 +8414,603 @@ Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. -Volume (reference value): 20.30% - -data_init = <4x2 stk_dataframe array> + line 0: warning: iconv failed to convert degree sign - : x z - initial design #1 : 0.000000 0.00000 - initial design #2 : 0.333333 -0.43063 - initial design #3 : 0.666667 -0.66886 - initial design #4 : 1.000000 -1.20558 +gnuplot> " font ":Bold,10" textcolor rgb " + ^ + line 0: invalid command + + + |----------------------n = 10, fd = 2.89e-01-------------------------| + 1 +|+ + + + + +-+| + +| F + + + + +| + #|################################################################### | + #|#####################################################F############# | + 0.8 +|+##############################F##################################+-+| + #|################################################################### | + #|################################################################### F| + 0.6 +|+#############################################F###################+-+| + #|################################################################### | + #|##F################################################################ | + #|######################F############################################ | + 0.4 +|+#############################################################F###+-+| + #|################################################################### | + #|################################################################### | + 0.2 +|+######################################F##########################+-+| + #|################################################################### | + #|################F################################################## | + +|---------------------------------------------------------------------| + 0 +-+###########+#############+#############+#############+###########+-+ + 0 0.2 0.4 0.6 0.8 1 + line 0: warning: iconv failed to convert degree sign + +gnuplot> " font ":Bold,10" textcolor rgb " + ^ + line 0: invalid command + - 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Use the command +'doc ' to search the manual index. + +Help and information about Octave is also available on the WWW +at https://www.octave.org and via the help@octave.org +mailing list. line 0: warning: iconv failed to convert degree sign | - 1.5 +|+ - 1 +|+ #### - #|###########################################%&&&%&&&&&&%## - 0.5 +|+&&###%&&&&&&%%#########*G**G*###########%==****G***#&&%# - z 0 +|+###########################################F############## - -0.5 +|+&&&&&************G***&########***&&&%%****&&%####%==***&% - #|######%&&&####&&&&##############&*****G*&&&%########===***# - -1 +|------------------------------------------------------------ - -1.5 +-+#########+###########+###########+###########+###########+ - 0 0.2 0.4 0.6 0.8 1 + 15 +|+ + 10 +|+ ####%%%%%%%%%%%##### ################ + 5 +|+%&&&&&&&&&&&&&&&&&&&&&&%#######%===========&&&&&%%%##### + 0 +|+*====F========########&&&&&#====&#########===##&&&&&&%%# + z &|&***************************G***********************##&&&& + -5 +|+&&&&&&##############====&&###&&&&&&############===*******G + -10 +|+###%%&&&&&&&&&&&&&&&&%%#########%%&&&&&&&&&&&&&&&=======# + -15 +|------------------------------------------------------------ + -20 +-+#######+#########+#########+#########+#########+######## + + 0 2 4 6 8 10 12 |-----------------------------------------------------------| - 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0.05 +|+ + + + + +-+| - +| +F + + + +| - 0.04 +|+##########**###########################################+-+| - 0.03 +|+##########**###########################################+-+| - #|###########**############################################ | - 0.02 +|+##########**###########################################+-+| - 0.01 +|+##########**###########################################+-+| - +|-----------------------------------------------------------| - 0 **************#********************************************** - 0 0.2 0.4 0.6 0.8 1 + 0.00014 +|+ + + + + + +-+| + 0.00012 +|+ + + + F + + +-+| + 0.0001 +|+################################**#####################+-+| + 8e-05 +|+################################**#####################+-+| + #|#################################*#*##################### | + 6e-05 +|+################################*#*####################+-+| + 4e-05 +|+################################*#*#############***####+-+| + 2e-05 +|-----------------------------------------------------------| + 0 ***********************************##**************###******* + 0 2 4 6 8 10 12 x -Iteration #19 -| Current sample size: n = 22 -| Volume estimate (plugin): 0.20300 [ref: 0.20300] -| Upper-bound on posterior std: 7.7392e-05 [target: 5.000e-04] - -history = <22x5 stk_dataframe array> - - : x z vol_estim vol_err nmisclass - initial design #1 : 0.000000 0.00000 NaN NaN NaN - initial design #2 : 0.333333 -0.43063 NaN NaN NaN - initial design #3 : 0.666667 -0.66886 NaN NaN NaN - initial design #4 : 1.000000 -1.20558 0.0000 -0.2030 2030 - MC point #04561 : 0.104156 -0.13301 0.0000 -0.2030 2030 - MC point #08295 : 0.497600 0.26506 0.1001 -0.1029 1681 - MC point #07112 : 0.446688 0.26125 0.1103 -0.0927 1415 - MC point #08019 : 0.530475 0.00244 0.0885 -0.1145 1199 - MC point #04402 : 0.426631 0.13161 0.0855 -0.1175 1175 - MC point #04865 : 0.513959 0.15551 0.0858 -0.1172 1172 - MC point #02982 : 0.429107 0.15026 0.0859 -0.1171 1171 - MC point #05230 : 0.826869 0.43939 0.2118 0.0088 720 - MC point #08438 : 0.767513 0.45115 0.2149 0.0119 119 - MC point #00578 : 0.864370 0.01181 0.2017 -0.0013 13 - MC point #02710 : 0.737750 0.16305 0.2027 -0.0003 3 - MC point #01507 : 0.853767 0.15729 0.2030 0.0000 0 - MC point #09267 : 0.736626 0.14971 0.2030 0.0000 0 - MC point #02307 : 0.854312 0.15019 0.2030 0.0000 0 - MC point #00630 : 0.042223 0.00842 0.2030 0.0000 0 - MC point #00780 : 0.205790 0.14336 0.2030 0.0000 0 - MC point #06412 : 0.196888 0.13531 0.2030 0.0000 0 - MC point #09809 : 0.219862 0.13122 0.2030 0.0000 0 + : x z + x0(001) : 0.00000 0.00000 + x0(002) : 6.00000 -1.67649 + x0(003) : 12.00000 -6.43888 + xg(057) : 1.68421 1.67339 + xg(099) : 2.94737 0.56886 + xg(282) : 8.45113 6.98861 + xg(299) : 8.96241 3.99788 + xg(268) : 8.03008 7.90589 + xg(258) : 7.72932 7.66935 + xg(265) : 7.93985 7.91060 + xg(266) : 7.96992 7.91642 + xg(145) : 4.33083 -4.01937 -Final result: -| Number of evaluations: 4 + 18 = 22. -| Volume estimate (plugin): 20.3000% [ref: 20.3000%] +Number of evaluations: 3 + 9 = 12. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe01.m] @@ -7509,182 +9042,6 @@ at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped -[inst/examples/test_functions/stk_testfun_goldsteinprice.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_goldsteinprice.m -***** test % Use with nargin == 0 for visualisation - stk_testfun_goldsteinprice (); close all; -***** assert (stk_isequal_tolabs ... - (stk_testfun_goldsteinprice ([0, -1]), 3.0, 1e-12)) -2 tests, 2 passed, 0 known failure, 0 skipped -[inst/examples/test_functions/stk_testfun_hartman4.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_hartman4.m -***** test - x = [0.1873 0.1906 0.5566 0.2647 ; - 0.18744768 0.19414868 0.558005333 0.26476409]; - y = stk_testfun_hartman4 (x); - assert (stk_isequal_tolabs (y, ... - [-3.729722308557300; -3.729840440436292], 1e-15)); -1 test, 1 passed, 0 known failure, 0 skipped -[inst/examples/test_functions/stk_testcase_truss3.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testcase_truss3.m -***** shared tc, xd, n - tc = stk_testcase_truss3 (); n = 5; - xd = stk_sampling_randunif (n, [], tc.search_domain); -***** test - v = stk_testfun_truss3_vol (xd, tc.constants); - z = stk_testfun_truss3_bb (xd, tc.constants); - assert (isequal (size (v), [n 1])); - assert (isequal (size (z), [n 5])); -***** test - F = stk_dataframe (zeros (n, 2), {'F1' 'F2'}); - F(:, 1) = tc.constants.F1_mean + tc.constants.F1_std * randn (n, 1); - F(:, 2) = tc.constants.F2_mean + tc.constants.F2_std * randn (n, 1); - x = [xd F]; - v = stk_testfun_truss3_vol (x, tc.constants); - z = stk_testfun_truss3_bb (x, tc.constants); - assert (isequal (size (v), [n 1])); - assert (isequal (size (z), [n 5])); -2 tests, 2 passed, 0 known failure, 0 skipped -[inst/examples/test_functions/stk_testfun_hartman6.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_hartman6.m -***** test - x1 = [0.20169 0.150011 0.476874 0.275332 0.311652 0.657300]; - y1 = -3.322368011391339; - - x2 = [0.20168952 0.15001069 0.47687398 0.27533243 0.31165162 0.65730054]; - y2 = -3.322368011415512; - - y = stk_testfun_hartman6 ([x1; x2]); - assert (stk_isequal_tolabs (y, [y1; y2], 1e-15)) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/examples/test_functions/stk_testfun_hartman3.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_hartman3.m -***** test - x1 = [0.1, 0.55592003, 0.85218259]; - y1 = -3.862634748621772; - - x2 = [0.114614 0.554649 0.852547]; - y2 = -3.862747199255087; - - y = stk_testfun_hartman3 ([x1; x2]); - assert (stk_isequal_tolabs (y, [y1; y2], 1e-15)) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/examples/01_kriging_basics/stk_example_kb03.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb03.m -***** test stk_example_kb03; close all; - -#========================# -# stk_example_kb03 # -#========================# - -'stk_example_kb03' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb03.m - - STK_EXAMPLE_KB03 Ordinary kriging in 2D - - An anisotropic Matern covariance function is used for the Gaussian Process - (GP) prior. The parameters of this covariance function (variance, regularity - and ranges) are estimated using the Restricted Maximum Likelihood (ReML) - method. - - The mean function of the GP prior is assumed to be constant and unknown. This - default choice can be overridden by means of the model.lm property. - - The function is sampled on a space-filling Latin Hypercube design, and the - data is assumed to be noiseless. - - -Additional help for built-in functions and operators is -available in the online version of the manual. Use the command -'doc ' to search the manual index. - -Help and information about Octave is also available on the WWW -at https://www.octave.org and via the help@octave.org -mailing list. - -BOX = 2-dimensional hyper-rectangle (stk_hrect object): - - : x_1 x_2 - lower_bounds : -5 0 - upper_bounds : 10 15 - -1 test, 1 passed, 0 known failure, 0 skipped -[inst/examples/01_kriging_basics/stk_example_kb07.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb07.m -***** test stk_example_kb07; close all; - -#========================# -# stk_example_kb07 # -#========================# - -'stk_example_kb07' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb07.m - - STK_EXAMPLE_KB07 Simulation of sample paths from a Matern process - - -Additional help for built-in functions and operators is -available in the online version of the manual. Use the command -'doc ' to search the manual index. - -Help and information about Octave is also available on the WWW -at https://www.octave.org and via the help@octave.org -mailing list. - line 0: warning: iconv failed to convert degree sign - - |--Matern, nu = 0.5------| |--Matern, nu = 1.5------| - 3 +|+ + *+ + +-+| 3 +|+ + + + +-+| - 2 +|@% + *****# &&&$ ==+| 2 &|% *** ## +* +-+| - @|@@#***********&&&==@**=@| *|&&***=***####&#**###**##| - 1 @|###**#*****#####=##****=| 1 %|*****###*****=*##%=###*@| -response z#|#######################response z#|###=##*#*=***###===@==**| - -1 #|**###*#####@@@**#**#####| -1 +|#####***##@@*#&*********| - *|*==#**##@@#%@%***%%### %| *|#==#####*####*#&&&##&&**| - -2 +|------------------------| -2 +|------------------------| - -3 +-+###+######+#####+###+-+ -3 +-+###+######+#####+###+-+ - -1 -0.5 0 0.5 1 -1 -0.5 0 0.5 1 - |--Matern, nu = 2.5------| |--Matern, nu = 10.0-----| - 3 +|+ + + + +-+| 3 +|+ + + + +-+| - 2 +|@@@ + *******$$+ +-+| 2 &|&&& + ***** ### +-+| - =|==@@@@**$$$$$$*#####****| *|*******##*####****==****| - 1 =|#=************##*#######| 1 *|***#%&######******#####*| -response z#|*##############********response z+|%%**###***####==###&&&##| - -1 *|##&##**&&@==&&%======@**| -1 #|%$*##**====#$####&$%$&&&| - %|####**####@=====%#@@@# | @|#######@@@@@@@#$$$$### | - -2 +|------------------------| -2 +|------------------------| - -3 ***###+######+#####+###+-+ -3 +-+#@@@@#####+#####+###+-+ - -1 -0.5 0 0.5 1 -1 -0.5 0 0.5 1 - input variable x input variable x -1 test, 1 passed, 0 known failure, 0 skipped -[inst/examples/01_kriging_basics/stk_example_kb06.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb06.m -***** test stk_example_kb06; close all; - -#========================# -# stk_example_kb06 # -#========================# - -'stk_example_kb06' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb06.m - - STK_EXAMPLE_KB06 Ordinary kriging VS kriging with a linear trend - - The same dataset is analyzed using two variants of kriging. - - The left panel shows the result of ordinary kriging, in other words, Gaussian - process interpolation assuming a constant (but unknown) mean. The right panel - shows the result of adding a linear trend in the mean of the Gaussian process. - - The difference with the left plot is clear in extrapolation: the first predic- - tor exhibits a "mean reverting" behaviour, while the second one captures an - increasing trend in the data. - - -Additional help for built-in functions and operators is -available in the online version of the manual. Use the command -'doc ' to search the manual index. - -Help and information about Octave is also available on the WWW -at https://www.octave.org and via the help@octave.org -mailing list. -1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb01.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb01.m ***** test stk_example_kb01; close all; @@ -7764,79 +9121,6 @@ input variable x 1 test, 1 passed, 0 known failure, 0 skipped -[inst/examples/01_kriging_basics/stk_example_kb02.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb02.m -***** test stk_example_kb02; close all; - -#========================# -# stk_example_kb02 # -#========================# - -'stk_example_kb02' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb02.m - - STK_EXAMPLE_KB02 Ordinary kriging in 1D with parameter estimation - - This example shows how to estimate covariance parameters and compute - ordinary kriging predictions on a one-dimensional noiseless dataset. - - The model and data are the same as in stk_example_kb01, but this time the - parameters of the covariance function are estimated using the Restricted - Maximum Likelihood (ReML) method. - - See also: stk_example_kb01, stk_example_kb02n - - -Additional help for built-in functions and operators is -available in the online version of the manual. Use the command -'doc ' to search the manual index. - -Help and information about Octave is also available on the WWW -at https://www.octave.org and via the help@octave.org -mailing list. -model = - - scalar structure containing the fields: - - covariance_type = @stk_materncov_iso - lm = - - - - dim = 1 - param = - - -0.2108 - 2.3026 - 0.7562 - - lognoisevariance = -Inf - - line 0: warning: iconv failed to convert degree sign - - - | True function and observed data - 1.5 +|+ - | ***G* +--------------------+ - #|#######***#####***########################|***?***True function| - 1 +|+#####**#########***######################+---G---Observations-+ - #|####**#############***######################################### - #|###**################**######################################## - 0.5 +|+#**##################**############################***######## - #|#G*####################**########################****##*G**#### - #|**######################**#####################G**########***## - F1 0 *|+########################**###################**############*** - G|##########################**#################**###############** - #|###########################**###############**#################** - -0.5 +|+###########################**#############**################## - #|#############################**###########*#################### - #|##############################*G*#######**##################### - -1 +|+###############################**#####**###################### - #|#################################******######################## - +|------------------------------------------------------------------ - -1.5 +-+##############+###############+################+############## + - -1 -0.5 0 0.5 1 - -1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb01n.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb01n.m ***** test stk_example_kb01n; close all; @@ -7914,34 +9198,17 @@ input variable x 1 test, 1 passed, 0 known failure, 0 skipped -[inst/examples/01_kriging_basics/stk_example_kb05.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb05.m -***** test stk_example_kb05; close all; +[inst/examples/01_kriging_basics/stk_example_kb07.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb07.m +***** test stk_example_kb07; close all; #========================# -# stk_example_kb05 # +# stk_example_kb07 # #========================# -'stk_example_kb05' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb05.m - - STK_EXAMPLE_KB05 Generation of conditioned sample paths - - A Matern Gaussian process model is used, with constant but unknown mean - (ordinary kriging) and known covariance parameters. - - Given noiseless observations from the unknown function, a batch of conditioned - sample paths is drawn using the "conditioning by kriging" technique. In short, - this means that unconditioned sample path are simulated first (using - stk_generate_samplepaths), and then conditioned on the observations by kriging - (using stk_conditioning). - - Note: in this example, for pedagogical purposes, conditioned samplepaths are - simulated in two steps: first, unconditioned samplepaths are simulated; - second, conditioned samplepaths are obtained using conditioning by kriging. - In practice, these two steps can be carried out all at once using - stk_generate_samplepath (see, e.g., stk_example_kb09). +'stk_example_kb07' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb07.m - See also: stk_generate_samplepaths, stk_conditioning, stk_example_kb09 + STK_EXAMPLE_KB07 Simulation of sample paths from a Matern process Additional help for built-in functions and operators is @@ -7951,24 +9218,54 @@ Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. + line 0: warning: iconv failed to convert degree sign + + |--Matern, nu = 0.5------| |--Matern, nu = 1.5------| + 3 +|% + + + % +-+| 3 +|+ + + + +-+| + 2 +|%# &&& # @@###*%%*%%+-+| 2 +|+ &&& + + +-+| + *|###&*&&&##########%%%%%%| @|#&#&###$$$&&#$$$$***##%%| + 1 *|####***#######*####*#&%%| 1 *|#####=####********@*####| +response z#|#**######*##*==*#*#####response z*|#$=*****###=**######*##*| + -1 #|***#####***&%%==***#####| -1 #|***@******#####*@===*==*| + #|#====###***#%#=#@=&==###| =|**#**@#%**%###%%%###****| + -2 +|------------------------| -2 +|------------------------| + -3 +-+###+######+#####+###+-+ -3 +-+###+######+#####+###+-+ + -1 -0.5 0 0.5 1 -1 -0.5 0 0.5 1 + |--Matern, nu = 2.5------| |--Matern, nu = 10.0-----| + 2 +|** + @@ + +-+| 3 +|+ + + + +-+| + *|*********@@@@ $$$$%%%%%| 2 +|+ ******* + +******| + 1 +|*@********#%@@$&&%%%**##| 1 &|****&&&&#####%%%***#****| + 0 *|=###@@#**#**&&&&@&****##| 0 *|*=#######==*####*#######| +response z#|##=###########******&##response z*|###**===*******###**====| + -1 &|%&#$=###&&&==#########=&| -1 #|+######**@@##@@@***&#+-+| + -2 $|$$&$#=&&&===#########+-+| -2 +|+########**@@@#**##&&&&&| + +|------------------------| -3 +|------------------------| + -3 +-+###+##=###+#####+###+-+ -4 +-+###+######+#####+###+-+ + -1 -0.5 0 0.5 1 -1 -0.5 0 0.5 1 + input variable x input variable x 1 test, 1 passed, 0 known failure, 0 skipped -[inst/examples/01_kriging_basics/stk_example_kb08.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb08.m -***** test stk_example_kb08; close all; +[inst/examples/01_kriging_basics/stk_example_kb03.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb03.m +***** test stk_example_kb03; close all; #========================# -# stk_example_kb08 # +# stk_example_kb03 # #========================# -'stk_example_kb08' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb08.m +'stk_example_kb03' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb03.m - STK_EXAMPLE_KB08 Generation of conditioned sample paths made easy + STK_EXAMPLE_KB03 Ordinary kriging in 2D - It has been demonstrated, in stk_example_kb05, how to generate conditioned - sample paths using unconditioned sample paths and conditioning by kriging. + An anisotropic Matern covariance function is used for the Gaussian Process + (GP) prior. The parameters of this covariance function (variance, regularity + and ranges) are estimated using the Restricted Maximum Likelihood (ReML) + method. - This example shows how to do the same in a more concise way, letting STK - take care of the details. + The mean function of the GP prior is assumed to be constant and unknown. This + default choice can be overridden by means of the model.lm property. + + The function is sampled on a space-filling Latin Hypercube design, and the + data is assumed to be noiseless. Additional help for built-in functions and operators is @@ -7978,6 +9275,13 @@ Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. + +BOX = 2-dimensional hyper-rectangle (stk_hrect object): + + : x_1 x_2 + lower_bounds : -5 0 + upper_bounds : 10 15 + 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb02n.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb02n.m @@ -8055,6 +9359,33 @@ -1 -0.5 0 0.5 1 1 test, 1 passed, 0 known failure, 0 skipped +[inst/examples/01_kriging_basics/stk_example_kb08.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb08.m +***** test stk_example_kb08; close all; + +#========================# +# stk_example_kb08 # +#========================# + +'stk_example_kb08' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb08.m + + STK_EXAMPLE_KB08 Generation of conditioned sample paths made easy + + It has been demonstrated, in stk_example_kb05, how to generate conditioned + sample paths using unconditioned sample paths and conditioning by kriging. + + This example shows how to do the same in a more concise way, letting STK + take care of the details. + + +Additional help for built-in functions and operators is +available in the online version of the manual. Use the command +'doc ' to search the manual index. + +Help and information about Octave is also available on the WWW +at https://www.octave.org and via the help@octave.org +mailing list. +1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb09.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb09.m ***** test stk_example_kb09; close all; @@ -8085,1410 +9416,282 @@ at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped -[inst/utils/stk_generate_samplepaths.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/utils/stk_generate_samplepaths.m -***** shared model, xi, zi, xt, n, nb_paths - dim = 1; n = 50; nb_paths = 5; - model = stk_model (@stk_materncov32_iso, dim); - model.param = log ([1.0; 2.9]); - xt = stk_sampling_regulargrid (n, dim, [-1.0; 1.0]); - xi = [xt(1, :); xt(end, :)]; zi = [0; 0]; -***** error zsim = stk_generate_samplepaths (); -***** error zsim = stk_generate_samplepaths (model); -***** test zsim = stk_generate_samplepaths (model, xt); -***** test zsim = stk_generate_samplepaths (model, xt, nb_paths); -***** test zsim = stk_generate_samplepaths (model, xi, zi, xt); -***** test zsim = stk_generate_samplepaths (model, xi, zi, xt, nb_paths); -***** test - zsim = stk_generate_samplepaths (model, xt); - assert (isequal (size (zsim), [n, 1])); -***** test - zsim = stk_generate_samplepaths (model, xt, nb_paths); - assert (isequal (size (zsim), [n, nb_paths])); -***** test % duplicate simulation points - zsim = stk_generate_samplepaths (model, [xt; xt], nb_paths); - assert (isequal (size (zsim), [2 * n, nb_paths])); - assert (isequal (zsim(1:n, :), zsim((n + 1):end, :))); -***** test % simulation points equal to observation points (noiseless model) - % https://sourceforge.net/p/kriging/tickets/14/ - zsim = stk_generate_samplepaths (model, xt, zeros (n, 1), xt); - assert (isequal (zsim, zeros (n, 1))); -10 tests, 10 passed, 0 known failure, 0 skipped -[inst/utils/stk_conditioning.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/utils/stk_conditioning.m -***** shared n, m, ni, xi_ind, lambda, zsim, zi - - n = 50; m = 5; ni = 10; xi_ind = 1:ni; - lambda = 1/ni * ones (ni, n); % prediction == averaging - zsim = ones (n, m); % const unconditioned samplepaths - zi = zeros (ni, 1); % conditioning by zeros -***** error zsimc = stk_conditioning (); -***** error zsimc = stk_conditioning (lambda); -***** error zsimc = stk_conditioning (lambda, zi); -***** test zsimc = stk_conditioning (lambda, zi, zsim); -***** test zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); -***** test - zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); - assert (stk_isequal_tolabs (double (zsimc), zeros (n, m))); -***** test - zi = 2 * ones (ni, 1); % conditioning by twos - zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); - assert (stk_isequal_tolabs (double (zsimc), 2 * ones (n, m))); -***** test - DIM = 1; nt = 400; - xt = stk_sampling_regulargrid (nt, DIM, [-1.0; 1.0]); - - NI = 6; xi_ind = [1 20 90 200 300 350]; - xi = xt(xi_ind, 1); - zi = (1:NI)'; % linear response ;-) - - % Carry out the kriging prediction at points xt - model = stk_model (@stk_materncov52_iso); - model.param = log ([1.0; 2.9]); - [ignore_zp, lambda] = stk_predict (model, xi, [], xt); - - % Generate (unconditional) sample paths according to the model - NB_PATHS = 10; - zsim = stk_generate_samplepaths (model, xt, NB_PATHS); - zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); -8 tests, 8 passed, 0 known failure, 0 skipped -[inst/model/@stk_model_gpposterior/set.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/set.m -***** shared M_post - x_obs = (linspace (0, pi, 15))'; - z_obs = sin (x_obs); - M_prior = stk_model (@stk_materncov32_iso); - M_prior.param = log ([1.0; 2.1]); - M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); -***** error value = get (M_post, 1.33); -***** error value = get (M_post, 'dudule'); -***** test value = get (M_post, 'prior_model'); -3 tests, 3 passed, 0 known failure, 0 skipped -[inst/model/@stk_model_gpposterior/stk_model_update.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_model_update.m -***** shared x_obs, z_obs, ref, M_prior, x_new, z_new, lnv_new - [x_obs, z_obs, ref] = stk_dataset_twobumps ('noisy2'); - M_prior = stk_model (@stk_materncov52_iso); - M_prior.param = [-0.15; 0.38]; - M_prior.lognoisevariance = 2 * log (ref.noise_std); - x_new = [-0.79; -0.79]; - z_new = [-0.69; -0.85]; - lnv_new = ref.noise_std_func (x_new); -***** test % heteroscedastic - M_prior.lognoisevariance = 2 * log (ref.noise_std); - M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); - M_post = stk_model_update (M_post, x_new, z_new, lnv_new); -***** error % using lnv_new / homoscedastic - M_prior.lognoisevariance = 0; - M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); - M_post = stk_model_update (M_post, x_new, z_new, lnv_new); % NOT OK -***** error % using lnv_new / noiseless - M_prior.lognoisevariance = -inf; - M_post = stk_model_gpposterior (M_prior, x_obs, z_obs) - M_post = stk_model_update (M_post, x_new, z_new, lnv_new); % NOT OK -***** error % not using lnv_new / heteroscedastic - M_prior.lognoisevariance = 2 * log (ref.noise_std); - M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); - M_post = stk_model_update (M_post, x_new, z_new); -4 tests, 4 passed, 0 known failure, 0 skipped -[inst/model/@stk_model_gpposterior/stk_model_gpposterior.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_model_gpposterior.m -***** test stk_test_class ('stk_model_gpposterior') -***** shared M_prior, x_obs, z_obs - x_obs = (linspace (0, pi, 15))'; - z_obs = sin (x_obs); - - M_prior = stk_model (@stk_materncov32_iso); - M_prior.param = log ([1.0; 2.1]); -***** test M_post = stk_model_gpposterior (); -***** test M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); -***** error M_post = stk_model_gpposterior (M_prior, x_obs, [z_obs; z_obs]); -***** error M_post = stk_model_gpposterior (M_prior, x_obs, [z_obs; z_obs], 3.441); -***** test % hidden feature - kreq = stk_kreq_qr (M_prior, x_obs); - M_post = stk_model_gpposterior (M_prior, {x_obs, kreq}, z_obs); -***** test % NaNs in prior_model.param - DIM = 1; M = stk_model (@stk_materncov52_aniso, DIM); - M.param = nan (2, 1); % this is currently the default - x = stk_sampling_regulargrid (20, DIM, [0; 1]); - y = sin (double (x)); - zp = stk_predict (M, x, y, x); -7 tests, 7 passed, 0 known failure, 0 skipped -[inst/model/@stk_model_gpposterior/stk_predict_leaveoneout.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_predict_leaveoneout.m -***** test % Check virtual Leave-One-Out formula +[inst/examples/01_kriging_basics/stk_example_kb02.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb02.m +***** test stk_example_kb02; close all; - n = 20; d = 1; - x_obs = stk_sampling_regulargrid (n, d, [0; 2*pi]); - z_obs = stk_feval (@sin, x_obs); - - lm_list = {stk_lm_null, stk_lm_constant, stk_lm_affine}; - - for j = 0:2 - for k = 1:(length (lm_list)) - - model = stk_model (@stk_materncov32_iso, d); - model.lm = lm_list{k}; - model.param = log ([1; 5]); - - switch j % test various scenarios for lognoisevariance - case 0 - model.lognoisevariance = -inf; - case 1 - model.lognoisevariance = 0; - case 2 - model.lognoisevariance = (1 + rand (n, 1)) * 1e-3; - end - - M_post = stk_model_gpposterior (model, x_obs, z_obs); - - [loo_pred, loo_res] = stk_predict_leaveoneout (M_post); - [direct_pred, direct_res] = stk_predict_leaveoneout_direct (M_post); - - assert (stk_isequal_tolrel (loo_pred, direct_pred)); - assert (stk_isequal_tolrel (loo_res, direct_res)); - - end - end -1 test, 1 passed, 0 known failure, 0 skipped -[inst/model/@stk_model_gpposterior/get.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/get.m -***** shared M_post - x_obs = (linspace (0, pi, 15))'; - z_obs = sin (x_obs); - M_prior = stk_model (@stk_materncov32_iso); - M_prior.param = log ([1.0; 2.1]); - M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); -***** error value = get (M_post, 1.33); -***** error value = get (M_post, 'dudule'); -***** test value = get (M_post, 'prior_model'); -3 tests, 3 passed, 0 known failure, 0 skipped -[inst/model/@stk_model_gpposterior/stk_predict_.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/@stk_model_gpposterior/stk_predict_.m -***** shared n, m, M_post, M_prior, x0, x_obs, z_obs, x_prd, y_prd, idx_obs, idx_prd +#========================# +# stk_example_kb02 # +#========================# - n = 10; % number of observations - m = n + 1; % number of predictions - d = 1; % dimension of the input space +'stk_example_kb02' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb02.m - x0 = (linspace (0, pi, n + m))'; + STK_EXAMPLE_KB02 Ordinary kriging in 1D with parameter estimation - idx_obs = (2:2:(n+m-1))'; - idx_prd = (1:2:(n+m))'; + This example shows how to estimate covariance parameters and compute + ordinary kriging predictions on a one-dimensional noiseless dataset. - x_obs = x0(idx_obs); - z_obs = sin (x_obs); - x_prd = x0(idx_prd); + The model and data are the same as in stk_example_kb01, but this time the + parameters of the covariance function are estimated using the Restricted + Maximum Likelihood (ReML) method. - M_prior = stk_model (@stk_materncov32_iso); - M_prior.param = log ([1.0; 2.1]); + See also: stk_example_kb01, stk_example_kb02n - M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); -***** error y_prd = stk_predict (M_post); -***** test y_prd = stk_predict (M_post, x_prd); -***** error y_prd = stk_predict (M_post, [x_prd x_prd]); -***** test % nargout = 2 - [y_prd1, lambda] = stk_predict (M_post, x_prd); - assert (stk_isequal_tolrel (y_prd, y_prd1)); - assert (isequal (size (lambda), [n m])); -***** test % nargout = 3 - [y_prd1, lambda, mu] = stk_predict (M_post, x_prd); - assert (stk_isequal_tolrel (y_prd, y_prd1)); - assert (isequal (size (lambda), [n m])); - assert (isequal (size (mu), [1 m])); % ordinary kriging -***** test % nargout = 4 - [y_prd1, lambda, mu, K] = stk_predict (M_post, x_prd); - assert (stk_isequal_tolrel (y_prd, y_prd1)); - assert (isequal (size (lambda), [n m])); - assert (isequal (size (mu), [1 m])); % ordinary kriging - assert (isequal (size (K), [m m])); -***** test % nargout = 2, compute only variances - M_post1 = stk_model_gpposterior (M_prior, x_obs, []); - [y_prd_nan, lambda] = stk_predict (M_post1, x_prd); - assert (isequal (size (lambda), [n m])); - assert (all (isnan (y_prd_nan.mean))); -***** test % discrete model (prediction indices provided) - M_prior1 = stk_model (@stk_discretecov, M_prior, x0); - M_post1 = stk_model_gpposterior (M_prior1, idx_obs, z_obs); - y_prd1 = stk_predict (M_post1, idx_prd); - assert (stk_isequal_tolrel (y_prd, y_prd1)); -***** test % discrete model (prediction indices *not* provided) - M_prior1 = stk_model (@stk_discretecov, M_prior, x0); - M_post1 = stk_model_gpposterior (M_prior1, idx_obs, z_obs); - y_prd1 = stk_predict (M_post1, []); % predict them all! - assert (stk_isequal_tolrel (y_prd, y_prd1(idx_prd, :))); -9 tests, 9 passed, 0 known failure, 0 skipped -[inst/model/prior_struct/stk_model.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/prior_struct/stk_model.m -***** test model = stk_model (); -***** test model = stk_model (@stk_expcov_iso); -***** test model = stk_model (@stk_expcov_iso, 1); -***** test model = stk_model (@stk_expcov_iso, 3); -***** test model = stk_model (@stk_expcov_aniso); -***** test model = stk_model (@stk_expcov_aniso, 1); -***** test model = stk_model (@stk_expcov_aniso, 3); -***** test model = stk_model (@stk_materncov_iso); -***** test model = stk_model (@stk_materncov_iso, 1); -***** test model = stk_model (@stk_materncov_iso, 3); -***** test model = stk_model (@stk_materncov_aniso); -***** test model = stk_model (@stk_materncov_aniso, 1); -***** test model = stk_model (@stk_materncov_aniso, 3); -***** test model = stk_model (@stk_materncov32_iso); -***** test model = stk_model (@stk_materncov32_iso, 1); -***** test model = stk_model (@stk_materncov32_iso, 3); -***** test model = stk_model (@stk_materncov32_aniso); -***** test model = stk_model (@stk_materncov32_aniso, 1); -***** test model = stk_model (@stk_materncov32_aniso, 3); -***** test model = stk_model (@stk_materncov52_iso); -***** test model = stk_model (@stk_materncov52_iso, 1); -***** test model = stk_model (@stk_materncov52_iso, 3); -***** test model = stk_model (@stk_materncov52_aniso); -***** test model = stk_model (@stk_materncov52_aniso, 1); -***** test model = stk_model (@stk_materncov52_aniso, 3); -***** test model = stk_model (@stk_gausscov_iso); -***** test model = stk_model (@stk_gausscov_iso, 1); -***** test model = stk_model (@stk_gausscov_iso, 3); -***** test model = stk_model (@stk_gausscov_aniso); -***** test model = stk_model (@stk_gausscov_aniso, 1); -***** test model = stk_model (@stk_gausscov_aniso, 3); -***** test model = stk_model (@stk_sphcov_iso); -***** test model = stk_model (@stk_sphcov_iso, 1); -***** test model = stk_model (@stk_sphcov_iso, 3); -***** test model = stk_model (@stk_sphcov_aniso); -***** test model = stk_model (@stk_sphcov_aniso, 1); -***** test model = stk_model (@stk_sphcov_aniso, 3); -37 tests, 37 passed, 0 known failure, 0 skipped -[inst/model/prior_struct/stk_ortho_func.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/prior_struct/stk_ortho_func.m -***** shared model, x, n, d - n = 15; d = 4; - model = stk_model (@stk_materncov_aniso, d); - x = stk_sampling_randunif (n, d); - model = rmfield (model, 'lm'); % Test the old .order approach -***** error P = stk_ortho_func (); -***** error P = stk_ortho_func (model); -***** test P = stk_ortho_func (model, x); -***** test - model.order = -1; P = stk_ortho_func (model, x); - assert (isequal (size (P), [n, 0])); -***** test - model.order = 0; P = stk_ortho_func (model, x); - assert (isequal (size (P), [n, 1])); -***** test - model.order = 1; P = stk_ortho_func (model, x); - assert (isequal (size (P), [n, d + 1])); -***** test - model.order = 2; P = stk_ortho_func (model, x); - assert (isequal (size (P), [n, 1 + d * (d + 3) / 2])); -***** test - model.order = 3; P = stk_ortho_func (model, x); - assert (isequal (size (P), [n, 1 + d * (11 + d * (6 + d)) / 6])); -***** error - model.order = 4; P = stk_ortho_func (model, x); - % model.order > 3 is not allowed -9 tests, 9 passed, 0 known failure, 0 skipped -[inst/model/prior_struct/stk_covmat_noise.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/prior_struct/stk_covmat_noise.m -***** shared model, model2, x1, x2, n1, n2, d, Ka, Kb, Kc, Pa, Pb, Pc, P1, P2, P3, K1, K2, K3 - n1 = 20; n2 = 10; d = 4; - model = stk_model (@stk_materncov52_aniso, d); - model.lm = stk_lm_affine; - model.param = log ([1.0; 2.1; 2.2; 2.3; 2.4]); - model2 = model; model2.lognoisevariance = log(0.01); - x1 = stk_sampling_randunif (n1, d); - x2 = stk_sampling_randunif (n2, d); -***** error [KK, PP] = stk_covmat_noise (); -***** error [KK, PP] = stk_covmat_noise (model); -***** test [Ka, Pa] = stk_covmat_noise (model, x1); % (1) -***** test [K1, P1] = stk_covmat_noise (model, x1, []); -***** test [K2, P2] = stk_covmat_noise (model, x1, [], -1); -***** test [K3, P3] = stk_covmat_noise (model, x1, [], -1, false); -***** assert (isequal (size (Ka), [n1 n1])); -***** assert (isequal (size (Pa), [n1 0])); -***** assert (isequal (P1, Pa) && (isequal (K1, Ka))) -***** assert (isequal (P2, Pa) && (isequal (K2, Ka))) -***** assert (isequal (P3, Pa) && (isequal (K3, Ka))) -***** test [Kb, Pb] = stk_covmat_noise (model, x1, x1); % (2) -***** test [K1, P1] = stk_covmat_noise (model, x1, x1, -1); -***** test [K2, P2] = stk_covmat_noise (model, x1, x1, -1, false); -***** assert (isequal (size (Kb), [n1 n1])); -***** assert (isequal (size (Pb), [n1 0])); -***** assert (isequal (P1, Pb) && (isequal (K1, Kb))) -***** assert (isequal (P2, Pb) && (isequal (K2, Kb))) -***** test [Kc, Pc] = stk_covmat_noise (model, x1, x2); % (3) -***** test [K1, P1] = stk_covmat_noise (model, x1, x2, -1); -***** test [K2, P2] = stk_covmat_noise (model, x1, x2, -1, false); -***** assert (isequal (size (Kc), [n1 n2])); -***** assert (isequal (size (Pc), [n1 0])); -***** assert (isequal (P1, Pc) && (isequal (K1, Kc))) -***** assert (isequal (P2, Pc) && (isequal (K2, Kc))) -***** assert (isequal (Kb, Ka)); -***** test [Ka, Pa] = stk_covmat_noise (model2, x1); % (1') -***** test [Kb, Pb] = stk_covmat_noise (model2, x1, x1); % (2') -***** error assert (isequal (Kb, Ka)); -***** assert (isequal (Pa, Pb)); -***** assert (isequal (Pa, Pc)); -31 tests, 31 passed, 0 known failure, 0 skipped -[inst/model/noise/@stk_gaussiannoise_het0/set.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/model/noise/@stk_gaussiannoise_het0/set.m -***** shared M_post - x_obs = (linspace (0, pi, 15))'; - z_obs = sin (x_obs); - M_prior = stk_model (@stk_materncov32_iso); - M_prior.param = log ([1.0; 2.1]); - M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); -***** error value = get (M_post, 1.33); -***** error value = get (M_post, 'dudule'); -***** test value = get (M_post, 'prior_model'); -3 tests, 3 passed, 0 known failure, 0 skipped -[inst/misc/parallel/@stk_parallel_engine_none/stk_parallel_engine_none.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/parallel/@stk_parallel_engine_none/stk_parallel_engine_none.m -***** test stk_test_class ('stk_parallel_engine_none') -1 test, 1 passed, 0 known failure, 0 skipped -[inst/misc/distrib/stk_distrib_normal_ei.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_ei.m -***** assert (stk_isequal_tolrel (stk_distrib_normal_ei (0.0), 1 / sqrt (2 * pi), eps)) -***** test % Decreasing as a function of z - ei = stk_distrib_normal_ei (linspace (-10, 10, 200)); - assert (all (diff (ei) < 0)) -***** shared M, mu, sigma, ei - M = randn (1, 10); - mu = randn (5, 1); - sigma = 1 + rand (1, 1, 7); - ei = stk_distrib_normal_ei (M, mu, sigma); -***** assert (isequal (size (ei), [5, 10, 7])) -***** assert (all (ei(:) >= 0)) -***** assert (isequal (ei, stk_distrib_normal_ei (M, mu, sigma, false))); -***** assert (isequal (ei, stk_distrib_normal_ei (-M, -mu, sigma, true))); -6 tests, 6 passed, 0 known failure, 0 skipped -[inst/misc/distrib/stk_distrib_normal_pdf.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_pdf.m -***** assert (stk_isequal_tolrel (stk_distrib_normal_pdf ([1; 3], 1, [1 10]), ... - [1 / sqrt(2 * pi) ... % normpdf ((1 - 1) / 1) - 0.1 / sqrt(2 * pi); ... % normpdf ((1 - 1) / 10) / 10 - exp(-2) / sqrt(2 * pi) ... % normpdf ((3 - 1) / 1) - 3.910426939754558780e-2 ... % normpdf ((3 - 1) / 10) / 10 - ], eps)); -***** assert (isequal (stk_distrib_normal_pdf (inf), 0.0)); -***** assert (isequal (stk_distrib_normal_pdf (-inf), 0.0)); -***** assert (isnan (stk_distrib_normal_pdf (nan))); -***** assert (isnan (stk_distrib_normal_pdf (0, 0, -1))); -5 tests, 5 passed, 0 known failure, 0 skipped -[inst/misc/distrib/stk_distrib_student_cdf.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_student_cdf.m -***** assert (stk_isequal_tolrel ( ... - stk_distrib_student_cdf ([-1; 0; 1], [1 2], 0, [1 10]), ... - [0.25, ... % tcdf ((-1 - 0)/1, 1) - 4.6473271920707004e-01; ... % tcdf ((-1 - 0)/10, 2) - 0.50, ... % tcdf (( 0 - 0)/1, 1) - 0.50; ... % tcdf (( 0 - 0)/10, 2) - 0.75, ... % tcdf (( 1 - 0)/1, 1) - 5.3526728079292996e-01 ... % tcdf (( 1 - 0)/10, 2) - ], 4 * eps)) -***** test - [p, q] = stk_distrib_student_cdf (1e10, 2); - assert (isequal (p, 1.0)); - assert (stk_isequal_tolrel (q, 4.999999999999999999925e-21, 10 * eps)); -***** assert (isequal (stk_distrib_student_cdf (0.0, 1), 0.5)); -***** assert (isequal (stk_distrib_student_cdf (inf, 1), 1.0)); -***** assert (isequal (stk_distrib_student_cdf (-inf, 1), 0.0)); -***** assert (isnan (stk_distrib_student_cdf (nan, 1))); -6 tests, 6 passed, 0 known failure, 0 skipped -[inst/misc/distrib/stk_distrib_student_pdf.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_student_pdf.m -***** assert (stk_isequal_tolrel ( ... - stk_distrib_student_pdf ([1; 3], [1; 2], [0 1], [1 10]), ... - [0.50 / pi ... % tpdf ((1 - 1) / 10, 1) - 0.10 / pi; ... % tpdf ((1 - 1) / 10, 1) / 10 - 1 / (11 * sqrt(11)) ... % tpdf ((3 - 0) / 1, 2) / 1 - 3.4320590294804165e-02 ... % tpdf ((3 - 1) / 10, 2) / 10 - ], eps)); -***** assert (isequal (stk_distrib_student_pdf ( inf, 1.0), 0.0)); -***** assert (isequal (stk_distrib_student_pdf (-inf, 1.0), 0.0)); -***** assert (isnan (stk_distrib_student_pdf ( nan, 1.0))); -4 tests, 4 passed, 0 known failure, 0 skipped -[inst/misc/distrib/stk_distrib_student_ei.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_student_ei.m -***** assert (stk_isequal_tolrel (stk_distrib_student_ei (0, 2), 1 / sqrt (2), eps)) -***** test % Decreasing as a function of z - ei = stk_distrib_student_ei (linspace (-10, 10, 200), 3.33); - assert (all (diff (ei) < 0)) -***** shared M, mu, sigma, ei, nu - M = randn (1, 10); - mu = randn (5, 1); - sigma = 1 + rand (1, 1, 7); - nu = 2; - ei = stk_distrib_student_ei (M, nu, mu, sigma); -***** assert (isequal (size (ei), [5, 10, 7])) -***** assert (all (ei(:) >= 0)) -***** assert (isequal (ei, stk_distrib_student_ei (M, nu, mu, sigma, false))); -***** assert (isequal (ei, stk_distrib_student_ei (-M, nu, -mu, sigma, true))); -6 tests, 6 passed, 0 known failure, 0 skipped -[inst/misc/distrib/stk_distrib_normal_crps.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_crps.m -***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (0.0, 0.0, 0.0), 0.0)) -***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (0.0, 0.0, 1.0), (sqrt(2) - 1)/sqrt(pi))) -***** shared n, x_obs, mu, sigma, crps, crps_exp - x_obs = [ 1.78; -2.29; -1.62; -5.89; 2.88; 0.65; 2.74; -3.42]; % observations - mu = [-0.31; -0.59; 1.48; -1.57; -0.05; -0.27; 1.05; 1.27]; % predictions - sigma = [ 2.76; 6.80; 1.63; 1.19; 4.98; 9.60; 5.85; 2.24]; % standard dev - n = size(x_obs, 1); - crps = stk_distrib_normal_crps (x_obs, mu, sigma); -***** assert (isequal (size (crps), [n, 1])) -***** assert (all (crps >= 0)) -***** assert (stk_isequal_tolabs (crps, stk_distrib_normal_crps(mu, x_obs, sigma))) -***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (x_obs, mu, 0), abs (x_obs - mu))) - crps_ref = [ ... - 1.247856605928301 ... - 1.757798727719891 ... - 2.216236225997414 ... - 3.648696666764968 ... - 1.832355265287495 ... - 2.278618297947438 ... - 1.560544734359158 ... - 3.455697443411153 ]; - assert (stk_isequal_tolabs (crps, crps_ref, 1e-10)); -6 tests, 6 passed, 0 known failure, 0 skipped -[inst/misc/distrib/stk_distrib_bivnorm_cdf.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_bivnorm_cdf.m -***** test - z1 = [0 1; -1 2]; - z2 = [0 1; 1 -2]; +Additional help for built-in functions and operators is +available in the online version of the manual. Use the command +'doc ' to search the manual index. - z = cat (3, z1, z2); % 2 x 2 x 2 +Help and information about Octave is also available on the WWW +at https://www.octave.org and via the help@octave.org +mailing list. +model = - mu1 = 0; % 1 x 1 x 1 - mu2 = [0 1]; % 1 x 2 x 1 + scalar structure containing the fields: - sigma1 = [1 3]; % 1 x 2 x 1 - sigma2 = [1; 2]; % 2 x 1 x 1 + covariance_type = @stk_materncov_iso + lm = - rho = [0; 0.5]; % 2 x 1 x 1 + - %% BROADCASTING => the result will be a 2 x 2 matrix + dim = 1 + param = - p = stk_distrib_bivnorm_cdf (z, mu1, mu2, sigma1, sigma2, rho); + -0.2108 + 2.3026 + 0.7562 - p11 = 0.25; % mvncdf ([ 0 0], [0 0], [1 0; 0 1]); - p12 = 0.315279329909118; % mvncdf ([ 1 1], [0 1], [9 0; 0 1]); - p21 = 0.146208349559646; % mvncdf ([-1 1], [0 0], [1 1; 1 4]); - p22 = 0.064656239880040; % mvncdf ([ 2 -2], [0 1], [9 3; 3 4]); + lognoisevariance = -Inf - assert (stk_isequal_tolabs (p, [p11 p12; p21 p22], 1e-14)) -***** test - [p, q] = stk_distrib_bivnorm_cdf ([inf -inf], 0, 0, 1, 1, 0); - assert ((p == 0.0) && (q == 1.0)) -***** test - [p, q] = stk_distrib_bivnorm_cdf ([inf -10], 0, 0, 1, 1, 0); - assert (stk_isequal_tolrel (p, 7.619853024160489e-24, 1e-12)) - assert (q == 1.0) -***** test - [p, q] = stk_distrib_bivnorm_cdf ([inf 0], 0, 0, 1, 1, 0); - assert (stk_isequal_tolrel (p, 0.5, 1e-12)) - assert (stk_isequal_tolrel (q, 0.5, 1e-12)) -***** test - [p, q] = stk_distrib_bivnorm_cdf ([inf 10], 0, 0, 1, 1, 0); - assert (p == 1.0); - assert (stk_isequal_tolrel (q, 7.619853024160489e-24, 1e-12)) -***** test - [p, q] = stk_distrib_bivnorm_cdf ([inf inf], 0, 0, 1, 1, 0); - assert ((p == 1.0) && (q == 0.0)) -***** test - [p, q] = stk_distrib_bivnorm_cdf ([-inf inf], 0, 0, 1, 1, 0); - assert ((p == 0.0) && (q == 1.0)) -***** test - [p, q] = stk_distrib_bivnorm_cdf ([-10 inf], 0, 0, 1, 1, 0); - assert (stk_isequal_tolrel (p, 7.619853024160489e-24, 1e-12)) - assert (q == 1.0) -***** test - [p, q] = stk_distrib_bivnorm_cdf ([0 inf], 0, 0, 1, 1, 0); - assert (stk_isequal_tolrel (p, 0.5, 1e-12)) - assert (stk_isequal_tolrel (q, 0.5, 1e-12)) -***** test - [p, q] = stk_distrib_bivnorm_cdf ([10 inf], 0, 0, 1, 1, 0); - assert (p == 1.0); - assert (stk_isequal_tolrel (q, 7.619853024160489e-24, 1e-12)) -***** test - [p, q] = stk_distrib_bivnorm_cdf ([inf inf], 0, 0, 1, 1, 0); - assert ((p == 1.0) && (q == 0.0)) -***** test % A mixture of singular and non-singular cases - p = stk_distrib_bivnorm_cdf ([0 0], 0, 0, [1; 0], 1, 0); - assert (isequal (p, [0.25; 0.5])); -12 tests, 12 passed, 0 known failure, 0 skipped -[inst/misc/distrib/stk_distrib_normal_cdf.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/distrib/stk_distrib_normal_cdf.m -***** assert (stk_isequal_tolrel (stk_distrib_normal_cdf ([1; 3], 1, [1 10]), ... - [0.5, ... % normcdf ((1 - 1) / 1) - 0.5; ... % normcdf ((1 - 1) / 10) - 0.5 * erfc(-sqrt(2)), ... % normcdf ((3 - 1) / 1) - 0.5 * erfc(-0.1*sqrt(2)) ... % normcdf ((3 - 1) / 10) - ], eps)); -***** test - [p, q] = stk_distrib_normal_cdf (10); - assert (isequal (p, 1.0)); - assert (stk_isequal_tolrel (q, 7.6198530241604975e-24, eps)); -***** assert (isequal (stk_distrib_normal_cdf ( 0.0), 0.5)); -***** assert (isequal (stk_distrib_normal_cdf ( inf), 1.0)); -***** assert (isequal (stk_distrib_normal_cdf (-inf), 0.0)); -***** assert (isnan (stk_distrib_normal_cdf ( nan))); -***** assert (isnan (stk_distrib_normal_cdf (0, 0, -1))); -***** assert (isequal (stk_distrib_normal_cdf (0, 0, 0), 1.0)); -***** assert (isequal (stk_distrib_normal_cdf (0, 1, 0), 0.0)); -***** assert (isequal (stk_distrib_normal_cdf (1, 0, 0), 1.0)); -10 tests, 10 passed, 0 known failure, 0 skipped -[inst/misc/test/stk_isequal_tolabs.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/test/stk_isequal_tolabs.m -***** shared r1, r2, a, b, tolabs - a = 1.01; b = 1.02; tolabs = 0.1; -***** error rr = stk_isequal_tolabs(); -***** error rr = stk_isequal_tolabs(a); -***** test r1 = stk_isequal_tolabs(a, b); -***** test r2 = stk_isequal_tolabs(a, b, tolabs); -***** test assert(~r1); -***** test assert(r2); -***** test - a = struct('u', []); b = struct('v', []); - assert(~ stk_isequal_tolabs(a, b)) -***** test - a = struct('u', 1.01); b = struct('u', 1.02); - assert(stk_isequal_tolabs(a, b, tolabs)) -8 tests, 8 passed, 0 known failure, 0 skipped -[inst/misc/test/stk_test.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/test/stk_test.m -***** assert(isempty([])) % support for test assert shorthand -***** assert((1 + 1) == 2) -***** test a=1; -***** test assert(~exist('a')); -***** shared a % create a shared variable -***** test a = 3; % assign to a shared variable -***** test assert(a == 3); % variable should equal 3 in this second 'test' block -***** shared b, c % replace shared variables {'a'} --> {'b', 'c'} -***** test assert(~exist('a')); % a no longer exists -***** test assert(isempty(b)); % variables start off empty -***** shared a % recreate a shared variable that had been deleted -***** test assert (isempty(a)); % it is empty, even though it was equal to 3 before -***** shared a, b, c % creates three shared variables - a = 1; b = 2; c = 3; % give values to all variables, in the same block -***** assert(isequal([a, b, c], [1, 2, 3])); % test all of them together -***** test c=6; % update a value -***** test % show that the update sticks between blocks - assert(isequal([a, b, c], [1, 2, 6])); -***** shared % clear all shared variables -***** assert(~exist('a')) % show that they are cleared -***** error test % not enough input arguments -***** error test(1, 2, 3, 4) % too many input args -***** error garbage % usage on nonexistent function should be -***** error stt_test('test', 'bogus'); % undefined function error -***** error stk_test('test', 'bogus'); % error raised by stk_test itself -***** error stk_test(); -***** error stk_test('disp', 'verbose', [], 'extra arg !!!'); -***** error stk_test([]) -***** error stk_test(0.0) -***** error stk_test('stk_mindist', 0.0) -***** error stk_test('stk_mindist', 'dudule') -24 tests, 24 passed, 0 known failure, 0 skipped -[inst/misc/test/stk_isequal_tolrel.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/test/stk_isequal_tolrel.m -***** shared r1, r2, r3, a, b, tolrel - a = 1.01; b = 1.02; tolrel = 0.1; -***** error rr = stk_isequal_tolrel(); -***** error rr = stk_isequal_tolrel(a); -***** test r1 = stk_isequal_tolrel(a, b); -***** test r2 = stk_isequal_tolrel(a, b, tolrel); -***** test r3 = stk_isequal_tolrel(a, [b b]); -***** test assert (isequal (r1, false)); -***** test assert (isequal (r2, true)); -***** test assert (isequal (r3, false)); -***** test - a = struct('u', []); b = struct('v', []); - assert(~ stk_isequal_tolrel(a, b)) -***** test - a = struct('u', 1.01); b = struct('u', 1.02); - assert(stk_isequal_tolrel(a, b, tolrel)) -10 tests, 10 passed, 0 known failure, 0 skipped -[inst/misc/optim/stk_optim_testmin_box.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_optim_testmin_box.m -***** shared algo - algo = stk_options_get ('stk_param_estim', 'minimize_box'); -***** error b = stk_optim_testmin_box (); -***** assert (stk_optim_testmin_box (algo)); -***** assert (~ stk_optim_testmin_box ('dudule')); -3 tests, 3 passed, 0 known failure, 0 skipped -[inst/misc/optim/@stk_optim_fmincon/stk_optim_fmincon.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_fmincon/stk_optim_fmincon.m -***** test stk_test_class ('stk_optim_fmincon') -1 test, 1 passed, 0 known failure, 0 skipped -[inst/misc/optim/@stk_optim_optimizer_/stk_optim_optimizer_.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_optimizer_/stk_optim_optimizer_.m -***** test stk_test_class ('stk_optim_optimizer_') -1 test, 1 passed, 0 known failure, 0 skipped -[inst/misc/optim/stk_optim_testmin_unc.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_optim_testmin_unc.m -***** shared algo - algo = stk_options_get ('stk_param_estim', 'minimize_unc'); -***** error b = stk_optim_testmin_unc (); -***** assert (stk_optim_testmin_unc (algo)); -***** assert (~ stk_optim_testmin_unc ('dudule')); -3 tests, 3 passed, 0 known failure, 0 skipped -[inst/misc/optim/@stk_optim_octavesqp/stk_optim_octavesqp.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_octavesqp/stk_optim_octavesqp.m -***** test stk_test_class ('stk_optim_octavesqp') -1 test, 1 passed, 0 known failure, 0 skipped -[inst/misc/optim/stk_minimize_unconstrained.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_minimize_unconstrained.m -***** test % Call fminsearch using function name - if stk_optim_isavailable ('fminsearch') - assert (stk_optim_testmin_unc ('fminsearch')); - end -***** test % Call fminsearch directly, using algorithm object - if stk_optim_isavailable ('fminsearch') - algo = stk_optim_fminsearch ('TolX', 1e-12, 'TolFun', 1e-12); - assert (stk_optim_testmin_unc (algo)); - end -***** test % Call sqp using function name - if stk_optim_isavailable ('octavesqp') - assert (stk_optim_testmin_unc ('octavesqp')); - end -***** test % Call sqp directly, using algorithm object - if stk_optim_isavailable ('octavesqp') - algo = stk_optim_octavesqp (); - assert (stk_optim_testmin_unc (algo)); - end -***** error assert (stk_optim_testmin_unc ('InexistentOptimizer')); -***** error assert (stk_optim_testmin_unc (100)); -6 tests, 6 passed, 0 known failure, 0 skipped -[inst/misc/optim/@stk_optim_fminsearch/stk_optim_fminsearch.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/@stk_optim_fminsearch/stk_optim_fminsearch.m -***** test stk_test_class ('stk_optim_fminsearch') -1 test, 1 passed, 0 known failure, 0 skipped -[inst/misc/optim/stk_minimize_boxconstrained.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/optim/stk_minimize_boxconstrained.m -***** test % Call fmincon using function name - if stk_optim_isavailable ('fmincon') - assert (stk_optim_testmin_box ('fmincon')); - end -***** test % Call fmincon directly, using algorithm object - if stk_optim_isavailable ('fmincon') - algo = stk_optim_fmincon ('TolX', 1e-12, 'TolFun', 1e-12); - assert (stk_optim_testmin_box (algo)); - end -***** test % Call sqp using function name - if stk_optim_isavailable ('octavesqp') - assert (stk_optim_testmin_box ('octavesqp')); - end -***** test % Call sqp directly, using algorithm object - if stk_optim_isavailable ('octavesqp') - algo = stk_optim_octavesqp (); - assert (stk_optim_testmin_box (algo)); - end -***** error assert (stk_optim_testmin_box ('InexistentOptimizer')); -***** error assert (stk_optim_testmin_box (100)); -6 tests, 6 passed, 0 known failure, 0 skipped -[inst/misc/design/stk_maxabscorr.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/design/stk_maxabscorr.m -***** assert (stk_isequal_tolabs (0.0, ... % Test on an OLHS(5) - stk_maxabscorr ([0.4 0.8 0 -0.4 -0.8; -0.8 0.4 0 0.8 -0.4]'))); + line 0: warning: iconv failed to convert degree sign + + + | True function and observed data + 1.5 +|+ + | ***G* +--------------------+ + #|#######***#####***########################|***?***True function| + 1 +|+#####**#########***######################+---G---Observations-+ + #|####**#############***######################################### + #|###**################**######################################## + 0.5 +|+#**##################**############################***######## + #|#G*####################**########################****##*G**#### + #|**######################**#####################G**########***## + F1 0 *|+########################**###################**############*** + G|##########################**#################**###############** + #|###########################**###############**#################** + -0.5 +|+###########################**#############**################## + #|#############################**###########*#################### + #|##############################*G*#######**##################### + -1 +|+###############################**#####**###################### + #|#################################******######################## + +|------------------------------------------------------------------ + -1.5 +-+##############+###############+################+############## + + -1 -0.5 0 0.5 1 + 1 test, 1 passed, 0 known failure, 0 skipped -[inst/misc/design/stk_phipcrit.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/design/stk_phipcrit.m -***** shared x - x = [0, 0.2, 0.4, 0.6, 0.8, 1.0; - 0, 0.6, 0.8, 1.0, 0.2, 0.4]'; -***** assert (stk_isequal_tolabs ... - (stk_phipcrit (x, 10), 3.946317664423303, 1e-15)) -***** assert (stk_isequal_tolabs ... - (stk_phipcrit (x, 50), 3.614077252813102, 1e-15)); -***** assert (stk_isequal_tolabs ... - (stk_phipcrit (x, 100), 3.574589859827413, 1e-15)); -***** assert (stk_isequal_tolabs ... - (stk_phipcrit (x, 1e9), 1 / stk_mindist (x), 1e-8)); -***** assert (isequal (stk_phipcrit (ones (2)), Inf)); -5 tests, 5 passed, 0 known failure, 0 skipped -[inst/misc/error/stk_error.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/error/stk_error.m -***** shared errmsg, mnemonic, badstack - errmsg = 'Go ahead, make my day.'; - mnemonic = 'ClintEastwood'; - badstack = 0; % not a valid stack structure -***** error stk_error(errmsg, mnemonic); -***** error stk_error (errmsg, mnemonic, badstack); -***** error id=STK:stk_error:InvalidArgument stk_error (errmsg, mnemonic, badstack); -3 tests, 3 passed, 0 known failure, 0 skipped -[inst/misc/dist/stk_filldist_discretized.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_filldist_discretized.m -***** error stk_filldist_discretized(0.0) % incorrect nb of arguments -***** error stk_filldist_discretized(0.0, []) % second arg is empty -***** error stk_filldist_discretized([], 0.0) % first arg is empty -***** test - d = 3; x = rand(7, d); y = rand(20, d); - fd1 = stk_filldist_discretized(x, y); - fd2 = stk_filldist_discretized(stk_dataframe(x), stk_dataframe(y)); - assert(stk_isequal_tolabs(fd1, fd2)); -***** test - n = 5; - for dim = 1:10, - x = rand(n, dim); - fd = stk_filldist_discretized(x, x); - assert(stk_isequal_tolabs(fd, 0.0)); - end -***** test - for dim = 1:10, - x = rand(1, dim); - y = rand(1, dim); - fd = stk_filldist_discretized(x, y); - assert(stk_isequal_tolabs(fd, norm(x - y))); - end -***** test - n = 4; - for dim = 2:10, - x = zeros(n, dim); - y = rand(1, dim); - fd = stk_filldist_discretized(x, y); - assert(stk_isequal_tolabs(fd, max(stk_dist(x, y)))); - end -***** test - for dim = [1 3 6], - x = 0.5 * ones(1, dim); - y = stk_sampling_regulargrid(2^dim, dim); % [0; 1]^d is the default box - fd = stk_filldist_discretized(x, y); - assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); - end -***** test - for dim = [1 3 7], - x = zeros(1, dim); - y = stk_sampling_regulargrid(3^dim, dim); - [fd, ymax] = stk_filldist_discretized(x, y); - assert(stk_isequal_tolabs(fd, sqrt(dim))); - assert(stk_isequal_tolabs(ymax, ones(1, dim))); - end -9 tests, 9 passed, 0 known failure, 0 skipped -[inst/misc/dist/stk_filldist.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_filldist.m -***** test %%% exact - d = 3; x = rand(7, d); box = repmat([0; 1], 1, d); - fd1 = stk_filldist(x, box); - fd2 = stk_filldist(stk_dataframe(x), stk_dataframe(box)); - assert(stk_isequal_tolabs(fd1, fd2)); -***** test %%% discretized - d = 3; x = rand(7, d); y = rand(20, d); - fd1 = stk_filldist(x, y); - fd2 = stk_filldist(stk_dataframe(x), stk_dataframe(y)); - assert(stk_isequal_tolabs(fd1, fd2)); -***** test - n = 5; % must be bigger than 2 - for dim = 1:10, - x = rand(n, dim); - fd = stk_filldist(x, x); - assert(stk_isequal_tolabs(fd, 0.0)); - end -***** test %%% exact - for dim = 1:6, - x = 0.5 * ones(1, dim); - fd = stk_filldist(x); % [0; 1]^d is the default box - assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); - end -***** test %%% discretized - for dim = 1:6, - x = 0.5 * ones(1, dim); - y = stk_sampling_regulargrid(2^dim, dim); % [0; 1]^d is the default box - fd = stk_filldist(x, y); - assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); - end -***** test - for dim = [1 3 7], - box = repmat([1; 2], 1, dim); - x = 1 + 0.5 * ones(1, dim); - fd = stk_filldist(x, box); - assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); - end -***** test - dim = 3; - box = repmat([-1; 1], 1, dim); - x = stk_sampling_randunif(20, dim, box); - y = stk_sampling_regulargrid(3^dim, dim, box); - fd1 = stk_filldist(x, box); - fd2 = stk_filldist(x, y); - assert(fd1 >= fd2 - 10 * eps); -***** test %%% exact - for dim = [1 3 7], - x = zeros(1, dim); - [fd, ymax] = stk_filldist_exact(x); - assert(stk_isequal_tolabs(fd, sqrt(dim))); - assert(stk_isequal_tolabs(ymax, ones(1, dim))); - end -***** test %%% discretized - for dim = [1 3 7], - x = zeros(1, dim); - y = stk_sampling_regulargrid(3^dim, dim); - [fd, ymax] = stk_filldist(x, y); - assert(stk_isequal_tolabs(fd, sqrt(dim))); - assert(stk_isequal_tolabs(ymax, ones(1, dim))); - end -9 tests, 9 passed, 0 known failure, 0 skipped -[inst/misc/dist/stk_dist.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_dist.m -***** error stk_dist(); -***** error stk_dist(0, 0, 0); -***** error stk_dist(0, 0, 0, 0); -***** error stk_dist(0, ones(1, 2)); -***** error stk_dist(eye(3), ones(1, 2)); -***** error stk_dist(ones(2, 1), zeros(2)); -***** shared x, y, z - x = zeros(11, 5); - y = zeros(13, 5); - z = ones(7, 5); -***** test - Dx = stk_dist(x); - assert(isequal(Dx, zeros(11))); -***** test - Dxx = stk_dist(x, x); - assert(isequal(Dxx, zeros(11))); -***** test - Dxy = stk_dist(x, y); - assert(isequal(Dxy, zeros(11, 13))); -***** test - Dzz = stk_dist(z, z); - assert(isequal(Dzz, zeros(7))); -***** test - Dxz = stk_dist(x, z); - assert(stk_isequal_tolabs(Dxz, sqrt(5)*ones(11, 7))); -***** test - x = randn(5,3); - y = randn(5,3); - D1 = stk_dist(x, y, true); % pairwise - D2 = stk_dist(x, y); - assert(stk_isequal_tolabs(D1, diag(D2))); -***** test - x = randn(5,3); - D1 = stk_dist(x, [], true); % pairwise - assert(stk_isequal_tolabs(D1, zeros(5, 1))); - D1 = stk_dist(x, x, true); % pairwise - assert(stk_isequal_tolabs(D1, zeros(5, 1))); -13 tests, 13 passed, 0 known failure, 0 skipped -[inst/misc/dist/stk_filldist_exact.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_filldist_exact.m -***** test - d = 3; x = rand(7, d); box = repmat([0; 1], 1, d); - fd1 = stk_filldist_exact(x, box); - fd2 = stk_filldist_exact(stk_dataframe(x), stk_dataframe(box)); - assert(stk_isequal_tolabs(fd1, fd2)); -***** test - for dim = 1:6, - x = 0.5 * ones(1, dim); - fd = stk_filldist_exact(x); % [0; 1]^d is the default box - assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); - end -***** test - for dim = [1 3 7], - box = repmat([1; 2], 1, dim); - x = 1 + 0.5 * ones(1, dim); - fd = stk_filldist_exact(x, box); - assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); - end -***** test - for dim = [1 3 7], - x = zeros(1, dim); - [fd, ymax] = stk_filldist_exact(x); - assert(stk_isequal_tolabs(fd, sqrt(dim))); - assert(stk_isequal_tolabs(ymax, ones(1, dim))); - end -4 tests, 4 passed, 0 known failure, 0 skipped -[inst/misc/dist/stk_gpquadform.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_gpquadform.m -***** shared x, y, z, rx, ry, rz - x = rand(5, 2); rx = rand(5, 2) + 1; - y = rand(6, 2); ry = rand(6, 2) + 1; - z = rand(5, 3); rz = rand(5, 3) + 1; -***** error Q = stk_gpquadform(x, ry, y, ry) -***** error Q = stk_gpquadform(x, rz, y, ry) -***** error Q = stk_gpquadform(x, rx, y, rx) -***** error Q = stk_gpquadform(x, rx, y, rz) -***** error Q = stk_gpquadform(x, rx, z, ry) -***** shared x, y, z, rx, ry, rz - x = zeros (11, 5); rx = 1/sqrt(2) * ones (11, 5); - y = zeros (13, 5); ry = 1/sqrt(2) * ones (13, 5); - z = ones ( 7, 5); rz = 1/sqrt(2) * ones ( 7, 5); -***** test - Qx = stk_gpquadform(x, [], rx); - assert(isequal(Qx, zeros(11))); -***** test - Qxx = stk_gpquadform(x, x, rx, rx); - assert(isequal(Qxx, zeros(11))); -***** test - Qxy = stk_gpquadform(x, y, rx, ry); - assert(isequal(Qxy, zeros(11, 13))); -***** test - Qzz = stk_gpquadform(z, [], rz); - assert(isequal(Qzz, zeros(7))); -***** test - Qxz = stk_gpquadform(x, z, rx, rz); - assert(stk_isequal_tolabs(Qxz, 5 * ones(11, 7))); -***** test - x = randn(5, 3); rx = 1 + rand(5, 3); - y = randn(5, 3); ry = 1 + rand(5, 3); - Q1 = stk_gpquadform(x, y, rx, ry, true); % pairwise - Q2 = stk_gpquadform(x, y, rx, ry, false); - assert(isequal(size(Q1), [5 1])); - assert(isequal(size(Q2), [5 5])); - assert(stk_isequal_tolabs(Q1, diag(Q2))); -***** test - x = randn(5, 3); rx = 1 + rand(5, 3); - Q1 = stk_gpquadform(x, [], rx, [], true); % pairwise - assert(stk_isequal_tolabs(Q1, zeros(5, 1))); - Q1 = stk_gpquadform(x, x, rx, rx, true); % pairwise - assert(stk_isequal_tolabs(Q1, zeros(5, 1))); -***** shared x, y, z, rx, ry, rz - x = zeros (11, 5); rx = 2 * ones (11, 5); - y = zeros (13, 5); ry = 2 * ones (13, 5); - z = ones ( 7, 5); rz = 2 * ones ( 7, 5); -***** test - Qx = stk_gpquadform(x, [], rx); - assert(isequal(Qx, zeros(11))); -***** test - Qxx = stk_gpquadform(x, x, rx, rx); - assert(isequal(Qxx, zeros(11))); -***** test - Qxy = stk_gpquadform(x, y, rx, ry); - assert(isequal(Qxy, zeros(11, 13))); -***** test - Qzz = stk_gpquadform(z, [], rz); - assert(isequal(Qzz, zeros(7))); -***** test - Qxz = stk_gpquadform(x, z, rx, rz); - assert(stk_isequal_tolabs(Qxz, 5/8 * ones(11, 7))); -17 tests, 17 passed, 0 known failure, 0 skipped -[inst/misc/dist/stk_mindist.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/dist/stk_mindist.m -***** test - d = 3; x = rand(7, d); - md1 = stk_mindist(x); - md2 = stk_mindist(stk_dataframe(x)); - assert(stk_isequal_tolabs(md1, md2)); -***** test - for nc = [0 5 10], - x = zeros(0, nc); - d = stk_mindist(x); - assert(isempty(d)); - end -***** test - for nc = [0 5 10], - x = rand(1, nc); - d = stk_mindist(x); - assert(isempty(d)); - end -***** test - for nr = [2 5 10], - x = zeros(nr, 0); - d = stk_mindist(x); - assert(isequal(d, 0.0)); - end -***** test - - nrep = 20; - TOL_REL = 1e-15; +[inst/examples/01_kriging_basics/stk_example_kb06.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb06.m +***** test stk_example_kb06; close all; - for irep = 1:nrep, +#========================# +# stk_example_kb06 # +#========================# - n = 2 + floor(rand * 10); - d = 1 + floor(rand * 10); - x = rand(n, d); - z = stk_mindist(x); +'stk_example_kb06' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb06.m - assert(isequal(size(d), [1, 1])); - assert(~isnan(d)); - assert(~isinf(d)); + STK_EXAMPLE_KB06 Ordinary kriging VS kriging with a linear trend - % check the result - mindist = Inf; - for i = 1:(n-1), - for j = (i+1):n, - mindist = min(mindist, norm(x(i,:) - x(j,:))); - end - end - assert(abs(z - mindist) <= TOL_REL * mindist); + The same dataset is analyzed using two variants of kriging. - end -5 tests, 5 passed, 0 known failure, 0 skipped -[inst/misc/pareto/stk_dominatedhv.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/pareto/stk_dominatedhv.m -***** error hv = stk_dominatedhv (); -***** error hv = stk_dominatedhv (-y, 'incorrect ref type'); -***** error hv = stk_dominatedhv (-y, [0 0]); -***** error hv = stk_dominatedhv (-y, [0 0 0 0 0], 0, 'too many input args'); -***** shared y, hv0 % Example from README.TXT in WFG 1.10 + The left panel shows the result of ordinary kriging, in other words, Gaussian + process interpolation assuming a constant (but unknown) mean. The right panel + shows the result of adding a linear trend in the mean of the Gaussian process. - y = [ ... - 0.598 0.737 0.131 0.916 6.745; ... - 0.263 0.740 0.449 0.753 6.964; ... - 0.109 8.483 0.199 0.302 8.872 ]; + The difference with the left plot is clear in extrapolation: the first predic- + tor exhibits a "mean reverting" behaviour, while the second one captures an + increasing trend in the data. - hv0 = 1.1452351120; -***** test - hv = stk_dominatedhv (-y); - assert (stk_isequal_tolrel (hv, hv0, 1e-10)); -***** test - yy = stk_dataframe (- y); % Check that @stk_dataframe inputs are accepted - hv = stk_dominatedhv (yy); - assert (stk_isequal_tolrel (hv, hv0, 1e-10)); -***** test - hv = stk_dominatedhv (-y, [], 0); - assert (stk_isequal_tolrel (hv, hv0, 1e-10)); -***** test - hv = stk_dominatedhv (-y, [0 0 0 0 0]); - assert (stk_isequal_tolrel (hv, hv0, 1e-10)); -***** test - hv = stk_dominatedhv (1 - y, [1 1 1 1 1]); - assert (stk_isequal_tolrel (hv, hv0, 1e-10)); -***** test - r = stk_dominatedhv (-y, [], 1); - hv = sum (r.sign .* prod (r.xmax - r.xmin, 2)); - assert (stk_isequal_tolrel (hv, hv0, 1e-10)); -***** shared y1, y2, y0, S, S1 - y0 = [1.00 1.00]; % Reference point - y1 = [1.50 1.50]; % Above the reference point - y2 = [0.50 0.50]; % Below the reference point -***** assert (isequal (0.00, stk_dominatedhv (y1, y0))); -***** assert (isequal (0.25, stk_dominatedhv (y2, y0))); -***** assert (isequal (0.25, stk_dominatedhv ([y1; y2], y0))); -***** assert (isequal (0.25, stk_dominatedhv ([y2; y1; y2], y0))); -***** test S = stk_dominatedhv (y1, y0, 1); % empty decomposition -***** assert (isequal (size (S.xmin, 1), 0)); -***** test S = stk_dominatedhv (y2, y0, 1); % trivial decomposition -***** assert (isequal (S.sign, 1)); -***** assert (isequal (S.xmin, y2)); -***** assert (isequal (S.xmax, y0)); -***** test S1 = stk_dominatedhv ([y2; y0], y0, 1); % shoud be the same as before -***** assert (isequal (S1, S)); -***** test S1 = stk_dominatedhv ([y2; y1], y0, 1); % shoud be the same as before -***** assert (isequal (S1, S)); -***** test S1 = stk_dominatedhv ([y2; y2], y0, 1); % shoud be the same as before -***** assert (isequal (S1, S)); -***** test - for d = 1:10, - y = - 0.5 * ones (1, d); - hv = stk_dominatedhv (y); - assert (isequal (stk_dominatedhv (y), 0.5 ^ d)); - end -***** test - for d = 1:10, - y = - 0.5 * ones (1, d); - r = stk_dominatedhv (y, [], 1); - hv = sum (r.sign .* prod (r.xmax - r.xmin, 2)); - assert (isequal (stk_dominatedhv (y), 0.5 ^ d)); - end -***** shared y, y_ref, dv, hv0 - y1 = [0.25 0.75]; - y2 = [0.50 0.50]; - y3 = [0.75 0.25]; - y_ref = [1 1]; +Additional help for built-in functions and operators is +available in the online version of the manual. Use the command +'doc ' to search the manual index. - y = {[], y1, y2, y3; [y1; y2], [y1; y3], [y2; y3], [y1; y2; y3]}; +Help and information about Octave is also available on the WWW +at https://www.octave.org and via the help@octave.org +mailing list. +1 test, 1 passed, 0 known failure, 0 skipped +[inst/examples/01_kriging_basics/stk_example_kb05.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/01_kriging_basics/stk_example_kb05.m +***** test stk_example_kb05; close all; - dv = 0.25 ^ 2; hv0 = [0 3 4 3; 5 5 5 6] * dv; -***** test - hv1 = stk_dominatedhv (y, y_ref); - assert (isequal (hv0, hv1)); -***** test - r = stk_dominatedhv (y, y_ref, 1); +#========================# +# stk_example_kb05 # +#========================# - % Check the first decomposition, which should be empty - assert (isempty (r(1).sign)); - assert (isempty (r(1).xmin)); - assert (isempty (r(1).xmax)); +'stk_example_kb05' is a script from the file /build/reproducible-path/octave-stk-2.8.1/debian/octave-stk/usr/share/octave/packages/stk-2.8.1/examples/01_kriging_basics/stk_example_kb05.m - % Check the other decompositions - for i = 2:6, - hv2 = sum (r(i).sign .* prod (r(i).xmax - r(i).xmin, 2)); - assert (isequal (hv0(i), hv2)); - end -***** test - y = (0.3:0.1:0.8)'; - hv0 = 0.7; - hv1 = stk_dominatedhv (y, 1); - r = stk_dominatedhv (y, 1, true); - hv2 = sum (r.sign .* prod (r.xmax - r.xmin, 2)); -***** test % four non-dominated points (hypervolume) - zr = [1 1]; - zi = [0.2 0.8; 0.4 0.6; 0.6 0.4; 0.8 0.2] - P = perms (1:4); - for i = 1:24 - HV = stk_dominatedhv (zi(P(i, :), :), zr, 0); - assert (stk_isequal_tolrel (HV, 0.4, 1e-15)); - end -zi = + STK_EXAMPLE_KB05 Generation of conditioned sample paths - 0.2000 0.8000 - 0.4000 0.6000 - 0.6000 0.4000 - 0.8000 0.2000 + A Matern Gaussian process model is used, with constant but unknown mean + (ordinary kriging) and known covariance parameters. -***** test % four non-dominated points (decomposition) - zr = [1 1]; - zi = [0.2 0.8; 0.4 0.6; 0.6 0.4; 0.8 0.2] - P = perms (1:4); - for i = 1:24 - S = stk_dominatedhv (zi(P(i, :), :), zr, 1); - HV = sum (S.sign .* prod (S.xmax - S.xmin, 2)); - assert (stk_isequal_tolrel (HV, 0.4, 1e-15)); - end -zi = + Given noiseless observations from the unknown function, a batch of conditioned + sample paths is drawn using the "conditioning by kriging" technique. In short, + this means that unconditioned sample path are simulated first (using + stk_generate_samplepaths), and then conditioned on the observations by kriging + (using stk_conditioning). - 0.2000 0.8000 - 0.4000 0.6000 - 0.6000 0.4000 - 0.8000 0.2000 + Note: in this example, for pedagogical purposes, conditioned samplepaths are + simulated in two steps: first, unconditioned samplepaths are simulated; + second, conditioned samplepaths are obtained using conditioning by kriging. + In practice, these two steps can be carried out all at once using + stk_generate_samplepath (see, e.g., stk_example_kb09). -***** test % a case with 8 points and 5 objectives - % http://sourceforge.net/p/kriging/tickets/33 + See also: stk_generate_samplepaths, stk_conditioning, stk_example_kb09 - yr = [1.03 0.91 0.96 1.99 16.2]; - y = [ ... - 0.8180 0.5600 0.1264 1.0755 1.2462; ... - 0.8861 0.6928 0.2994 0.7228 0.9848; ... - 0.9021 0.8829 0.6060 0.1642 0.4282; ... - 0.9116 0.3097 0.8601 0.0468 0.2813; ... - 0.9306 0.1429 0.6688 0.1462 1.3661; ... - 0.9604 0.3406 0.4046 0.7239 1.8741; ... - 0.9648 0.7764 0.5199 0.4098 1.3436; ... - 0.9891 0.4518 0.7956 0.1164 1.2025]; +Additional help for built-in functions and operators is +available in the online version of the manual. Use the command +'doc ' to search the manual index. - hv1 = stk_dominatedhv (y, yr, 0); +Help and information about Octave is also available on the WWW +at https://www.octave.org and via the help@octave.org +mailing list. +1 test, 1 passed, 0 known failure, 0 skipped +[inst/examples/test_functions/stk_testfun_hartman6.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_hartman6.m +***** test + x1 = [0.20169 0.150011 0.476874 0.275332 0.311652 0.657300]; + y1 = -3.322368011391339; - S = stk_dominatedhv (y, yr, 1); - hv2 = sum (S.sign .* prod (S.xmax - S.xmin, 2)); + x2 = [0.20168952 0.15001069 0.47687398 0.27533243 0.31165162 0.65730054]; + y2 = -3.322368011415512; - assert (isequal (size (S.sign), [87 1])); - assert (isequal (size (S.xmin), [87 5])); - assert (isequal (size (S.xmax), [87 5])); - assert (stk_isequal_tolrel (hv1, 1.538677420906463, 2 * eps)); - assert (stk_isequal_tolrel (hv1, hv2, eps)); -***** test % with random data - NREP = 5; - for p = 1:5 - for n = 1:10 - for i = 1:NREP - % Draw random data - y = rand (n, p); - y = - y ./ (norm (y)); - % Compute hypervolume directly - hv1 = stk_dominatedhv (y, [], 0); - % Compute decomposition, then hypervolume - R = stk_dominatedhv (y, [], 1); - hv2 = sum (R.sign .* prod (R.xmax - R.xmin, 2)); - % Compare results - assert (stk_isequal_tolabs (hv1, hv2, eps)); - end - end - end -35 tests, 35 passed, 0 known failure, 0 skipped -[inst/misc/pareto/stk_paretofind.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/pareto/stk_paretofind.m -***** shared x, ndpos, drank - x = [ ... - 0 2; ... - 2 2; ... - ]; -***** test [ndpos, drank] = stk_paretofind (x); -***** assert (isequal (ndpos, 1)); -***** assert (isequal (drank, [0; 1])); -***** shared x, ndpos, drank - x = [ ... - 3 2; ... - 2 2; ... - ]; -***** test [ndpos, drank] = stk_paretofind (x); -***** assert (isequal (ndpos, 2)); -***** assert (isequal (drank, [1; 0])); -***** shared x, ndpos, drank - x = [ ... - 1 0; ... - 2 0; ... - 0 2; ... - 2 2; ... - -1 3 ]; -***** test [ndpos, drank] = stk_paretofind (x); -***** assert (isequal (ndpos, [5; 3; 1])); -***** assert (isequal (drank, [0; 3; 0; 2; 0])); -***** shared x, ndpos, drank - x = [ ... - 1 0; ... - 2 0; ... - 0 2; ... - 2 2; ... - -1 3; ... - -1 4; ... - 2 2 ]; -***** test [ndpos, drank] = stk_paretofind (x); -***** assert (isequal (ndpos, [5; 3; 1])); -***** assert (isequal (drank, [0; 3; 0; 2; 0; 1; 2])); -12 tests, 12 passed, 0 known failure, 0 skipped -[inst/misc/pareto/stk_isdominated.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/pareto/stk_isdominated.m -***** test - A = [1 3 2]; - B = [0 0 0]; - [isdom, dpos] = stk_isdominated (A, B); - assert (isdom == 1); - assert (dpos == 1); + y = stk_testfun_hartman6 ([x1; x2]); + assert (stk_isequal_tolabs (y, [y1; y2], 1e-15)) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/examples/test_functions/stk_testfun_hartman3.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_hartman3.m ***** test - A = [1 3 2]; - B = [0 0 3]; - [isdom, dpos] = stk_isdominated (A, B); - assert (isdom == 0); - assert (dpos == 0); + x1 = [0.1, 0.55592003, 0.85218259]; + y1 = -3.862634748621772; + + x2 = [0.114614 0.554649 0.852547]; + y2 = -3.862747199255087; + + y = stk_testfun_hartman3 ([x1; x2]); + assert (stk_isequal_tolabs (y, [y1; y2], 1e-15)) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/examples/test_functions/stk_testcase_truss3.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testcase_truss3.m +***** shared tc, xd, n + tc = stk_testcase_truss3 (); n = 5; + xd = stk_sampling_randunif (n, [], tc.search_domain); ***** test - A = [1 3 2]; - B = [0 0 0; 0 0 3]; - [isdom, dpos] = stk_isdominated (A, B); - assert (isdom == 1); - assert (dpos == 1); + v = stk_testfun_truss3_vol (xd, tc.constants); + z = stk_testfun_truss3_bb (xd, tc.constants); + assert (isequal (size (v), [n 1])); + assert (isequal (size (z), [n 5])); ***** test - A = [1 3 2]; - B = [0 0 3; 0 0 0]; - [isdom, dpos] = stk_isdominated (A, B); - assert (isdom == 1); - assert (dpos == 2); + F = stk_dataframe (zeros (n, 2), {'F1' 'F2'}); + F(:, 1) = tc.constants.F1_mean + tc.constants.F1_std * randn (n, 1); + F(:, 2) = tc.constants.F2_mean + tc.constants.F2_std * randn (n, 1); + x = [xd F]; + v = stk_testfun_truss3_vol (x, tc.constants); + z = stk_testfun_truss3_bb (x, tc.constants); + assert (isequal (size (v), [n 1])); + assert (isequal (size (z), [n 5])); +2 tests, 2 passed, 0 known failure, 0 skipped +[inst/examples/test_functions/stk_testfun_goldsteinprice.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_goldsteinprice.m +***** test % Use with nargin == 0 for visualisation + stk_testfun_goldsteinprice (); close all; +***** assert (stk_isequal_tolabs ... + (stk_testfun_goldsteinprice ([0, -1]), 3.0, 1e-12)) +2 tests, 2 passed, 0 known failure, 0 skipped +[inst/examples/test_functions/stk_testfun_hartman4.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/examples/test_functions/stk_testfun_hartman4.m ***** test - A = [1 3 2; 1 0 1; -1 0 0; 1 3 2]; - B = [1 0 0; 0 0 3; 0 0 0]; - [isdom, dpos] = stk_isdominated (A, B); - assert (isequal (isdom, logical ([1; 1; 0; 1]))); - assert (isequal (dpos, [3; 3; 0; 3])); -5 tests, 5 passed, 0 known failure, 0 skipped -[inst/misc/text/stk_sprintf_colvect_fixedpoint.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_sprintf_colvect_fixedpoint.m -***** shared x, s - x = [1.2; 3.48]; -***** test s = stk_sprintf_colvect_fixedpoint(x, 1); -***** assert (isequal(s, ['1'; '3'])) -***** test s = stk_sprintf_colvect_fixedpoint(x, 2); -***** assert (isequal(s, ['1'; '3'])) -***** test s = stk_sprintf_colvect_fixedpoint(x, 3); -***** assert (isequal(s, ['1.2'; '3.5'])) -***** test s = stk_sprintf_colvect_fixedpoint(x, 4); -***** assert (isequal(s, ['1.20'; '3.48'])) -***** test s = stk_sprintf_colvect_fixedpoint(x, 5); -***** assert (isequal(s, ['1.20'; '3.48'])) -***** shared x, s - x = [1.2; -3.48]; -***** test s = stk_sprintf_colvect_fixedpoint(x, 1); -***** assert (isequal(s, ['#'; '#'])) -***** test s = stk_sprintf_colvect_fixedpoint(x, 2); -***** assert (isequal(s, [' 1'; '-3'])) -***** test s = stk_sprintf_colvect_fixedpoint(x, 3); -***** assert (isequal(s, [' 1'; '-3'])) -***** test s = stk_sprintf_colvect_fixedpoint(x, 4); -***** assert (isequal(s, [' 1.2'; '-3.5'])) -***** test s = stk_sprintf_colvect_fixedpoint(x, 5); -***** assert (isequal(s, [' 1.20'; '-3.48'])) -***** test s = stk_sprintf_colvect_fixedpoint(x, 6); -***** assert (isequal(s, [' 1.20'; '-3.48'])) -***** shared x, s - x = [0.2; 0.48]; -***** test s = stk_sprintf_colvect_fixedpoint(x, 1); -***** assert (isequal(s, ['0'; '0'])) -***** test s = stk_sprintf_colvect_fixedpoint(x, 2); -***** assert (isequal(s, ['0'; '0'])) -***** test s = stk_sprintf_colvect_fixedpoint(x, 3); -***** assert (isequal(s, ['0.2'; '0.5'])) -***** test s = stk_sprintf_colvect_fixedpoint(x, 4); -***** assert (isequal(s, ['0.20'; '0.48'])) -***** test s = stk_sprintf_colvect_fixedpoint(x, 5); -***** assert (isequal(s, ['0.20'; '0.48'])) -32 tests, 32 passed, 0 known failure, 0 skipped -[inst/misc/text/stk_sprintf_colvect_scientific.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_sprintf_colvect_scientific.m -***** shared x, s - x = [1.2; -34567]; -***** test s = stk_sprintf_colvect_scientific(x, 1); -***** assert (isequal(s, ['#'; '#'])) -***** test s = stk_sprintf_colvect_scientific(x, 3); -***** assert (isequal(s, ['###'; '###'])) -***** test s = stk_sprintf_colvect_scientific(x, 5); -***** assert (isequal(s, ['#####'; '#####'])) -***** test s = stk_sprintf_colvect_scientific(x, 6); -***** assert (isequal(s, [' 1e+00'; '-3e+04'])) -***** test s = stk_sprintf_colvect_scientific(x, 7); -***** assert (isequal(s, [' 1e+00'; '-3e+04'])) -***** test s = stk_sprintf_colvect_scientific(x, 8); -***** assert (isequal(s, [' 1.2e+00'; '-3.5e+04'])) -***** test s = stk_sprintf_colvect_scientific(x, 9); -***** assert (isequal(s, [' 1.20e+00'; '-3.46e+04'])) -***** test s = stk_sprintf_colvect_scientific(x, 10); -***** assert (isequal(s, [' 1.200e+00'; '-3.457e+04'])) -***** test s = stk_sprintf_colvect_scientific(x, 11); -***** assert (isequal(s, [' 1.2000e+00'; '-3.4567e+04'])) -***** test s = stk_sprintf_colvect_scientific(x, 12); -***** assert (isequal(s, [' 1.2000e+00'; '-3.4567e+04'])) -***** shared x, s - x = [0.9; 0.91; 0.99; 0.999]; -***** test s = stk_sprintf_colvect_scientific (x, 4); -***** assert (isequal(s, ['####'; '####'; '####'; '####'])) -***** test s = stk_sprintf_colvect_scientific (x, 5); -***** assert (isequal(s, ['9e-01'; '9e-01'; '1e+00'; '1e+00'])) -***** test s = stk_sprintf_colvect_scientific (x, 6); -***** assert (isequal(s, ['9e-01'; '9e-01'; '1e+00'; '1e+00'])) -***** test s = stk_sprintf_colvect_scientific (x, 7); -***** assert (isequal(s, ['9.0e-01'; '9.1e-01'; '9.9e-01'; '1.0e+00'])) -***** test s = stk_sprintf_colvect_scientific (x, 8); -***** assert (isequal(s, ['9.00e-01'; '9.10e-01'; '9.90e-01'; '9.99e-01'])) -***** shared x, s - x = [0.9; -0.91; 0.99; 0.999]; -***** test s = stk_sprintf_colvect_scientific (x, 4); -***** assert (isequal(s, ['####'; '####'; '####'; '####'])) -***** test s = stk_sprintf_colvect_scientific (x, 5); -***** assert (isequal(s, ['#####'; '#####'; '#####'; '#####'])) -***** test s = stk_sprintf_colvect_scientific (x, 6); -***** assert (isequal(s, [' 9e-01'; '-9e-01'; ' 1e+00'; ' 1e+00'])) -***** test s = stk_sprintf_colvect_scientific (x, 7); -***** assert (isequal(s, [' 9e-01'; '-9e-01'; ' 1e+00'; ' 1e+00'])) -***** test s = stk_sprintf_colvect_scientific (x, 8); -***** assert (isequal(s, [' 9.0e-01'; '-9.1e-01'; ' 9.9e-01'; ' 1.0e+00'])) + x = [0.1873 0.1906 0.5566 0.2647 ; + 0.18744768 0.19414868 0.558005333 0.26476409]; + y = stk_testfun_hartman4 (x); + assert (stk_isequal_tolabs (y, ... + [-3.729722308557300; -3.729840440436292], 1e-15)); +1 test, 1 passed, 0 known failure, 0 skipped +[inst/core/stk_make_matcov.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_make_matcov.m +***** shared model, model2, x0, x1, n0, n1, d, Ka, Kb, Kc, Pa, Pb, Pc + n0 = 20; n1 = 10; d = 4; + model = stk_model (@stk_materncov52_aniso, d); + model.lm = stk_lm_affine; + model.param = log ([1.0; 2.1; 2.2; 2.3; 2.4]); + model2 = model; model2.lognoisevariance = log(0.01); + x0 = stk_sampling_randunif (n0, d); + x1 = stk_sampling_randunif (n1, d); +***** error [KK, PP] = stk_make_matcov (); +***** error [KK, PP] = stk_make_matcov (model); +***** test [Ka, Pa] = stk_make_matcov (model, x0); % (1) +***** test [Kb, Pb] = stk_make_matcov (model, x0, x0); % (2) +***** test [Kc, Pc] = stk_make_matcov (model, x0, x1); % (3) +***** error [KK, PP] = stk_make_matcov (model, x0, x1, pi); +***** assert (isequal (size (Ka), [n0 n0])); +***** assert (isequal (size (Kb), [n0 n0])); +***** assert (isequal (size (Kc), [n0 n1])); +***** assert (isequal (size (Pa), [n0 d + 1])); +***** assert (isequal (size (Pb), [n0 d + 1])); +***** assert (isequal (size (Pc), [n0 d + 1])); +***** assert (isequal (Kb, Ka)); +***** test [Ka, Pa] = stk_make_matcov (model2, x0); % (1') +***** test [Kb, Pb] = stk_make_matcov (model2, x0, x0); % (2') +***** error assert (isequal (Kb, Ka)); +***** assert (isequal (Pa, Pb)); +***** assert (isequal (Pa, Pc)); +18 tests, 18 passed, 0 known failure, 0 skipped +[inst/core/stk_model_update.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_model_update.m ***** test - x = [1e6; -1e10; 1e-221]; - s = stk_sprintf_colvect_scientific(x, 10); - assert(isequal(s, [' 1e+006'; '-1e+010'; ' 1e-221'])); -41 tests, 41 passed, 0 known failure, 0 skipped -[inst/misc/text/stk_disp_progress.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_disp_progress.m -***** error stk_disp_progress ('toto ', 0, 1); -***** test stk_disp_progress ('toto ', 1, 1); -warning: implicit conversion from numeric to char -warning: called from - stk_disp_progress at line 53 column 1 - __test__ at line 2 column 3 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 1542 column 31 + x1 = (linspace (0, 1, 15))'; z1 = sin (x1); + x2 = (linspace (2, 3, 15))'; z2 = sin (x2); + xt = (linspace (1, 2, 15))'; zt = sin (xt); -toto -***** error stk_disp_progress ('toto ', 2, 1); -***** test - stk_disp_progress ('toto ', 1, 2); - stk_disp_progress ('toto ', 2, 2); -warning: implicit conversion from numeric to char -warning: called from - stk_disp_progress at line 53 column 1 - __test__ at line 3 column 2 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 1542 column 31 + % Prior model + M0 = stk_model (@stk_materncov32_iso); + M0.param = log ([1.0; 2.1]); -toto toto -4 tests, 4 passed, 0 known failure, 0 skipped -[inst/misc/text/stk_sprintf_colvect.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/misc/text/stk_sprintf_colvect.m -***** shared s -***** test s = stk_sprintf_colvect ([1 1e1], 6); -***** assert (isequal (s, [' 1'; '10'])) -***** test s = stk_sprintf_colvect ([1 1e3], 6); -***** assert (isequal (s, [' 1'; '1000'])) -***** test s = stk_sprintf_colvect ([1 1e5], 6); -***** assert (isequal (s, [' 1'; '100000'])) -***** test s = stk_sprintf_colvect ([1 1e6], 6); -***** assert (isequal (s, ['1e+00'; '1e+06'])) -8 tests, 8 passed, 0 known failure, 0 skipped + M1 = stk_model_update (M0, x1, z1); + M1 = stk_model_update (M1, x2, z2); % this calls @stk_model_gpposterior/... + zp1 = stk_predict (M1, xt); + + M2 = stk_model_gpposterior (M0, [x1; x2], [z1; z2]); + zp2 = stk_predict (M2, xt); + + assert (stk_isequal_tolabs (double (zp2 - zp1), zeros (15, 2), 1e-10)) +1 test, 1 passed, 0 known failure, 0 skipped +[inst/core/stk_cholcov.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_cholcov.m +***** shared Q, K, L, U, epsi + Q = 0.25 * hadamard(4); +***** test + K = Q * diag ([1, 0.1, 0.01, 1e-7]) * Q'; + [U, epsi] = stk_cholcov (K); +***** assert (istriu (U)) +***** assert (epsi == 0) +***** test + K = Q * diag ([1, 0.1, 0.01, 1e-7]) * Q'; + [L, epsi] = stk_cholcov (K, 'lower'); +***** assert (istril (L)) +***** assert (epsi == 0) +***** test + K = Q * diag ([1, 0.1, 0.01, -1e-7]) * Q'; + [U, epsi] = stk_cholcov (K); +***** assert (istriu (U)) +***** assert (epsi > 0) +***** test + K = Q * diag ([1, 0.1, 0.01, -1e-7]) * Q'; + [L, epsi] = stk_cholcov (K, 'lower'); +***** assert (istril (L)) +***** assert (epsi > 0) +12 tests, 12 passed, 0 known failure, 0 skipped [inst/core/stk_predict.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_predict.m ***** shared n, m, model, x0, x_obs, z_obs, x_prd, y_prd1, idx_obs, idx_prd @@ -9541,59 +9744,10 @@ lambda_ref = zeros (n, 1); lambda_ref(4) = 1; assert (isequal (lambda, lambda_ref)) 12 tests, 12 passed, 0 known failure, 0 skipped -[inst/core/stk_make_matcov.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_make_matcov.m -***** shared model, model2, x0, x1, n0, n1, d, Ka, Kb, Kc, Pa, Pb, Pc - n0 = 20; n1 = 10; d = 4; - model = stk_model (@stk_materncov52_aniso, d); - model.lm = stk_lm_affine; - model.param = log ([1.0; 2.1; 2.2; 2.3; 2.4]); - model2 = model; model2.lognoisevariance = log(0.01); - x0 = stk_sampling_randunif (n0, d); - x1 = stk_sampling_randunif (n1, d); -***** error [KK, PP] = stk_make_matcov (); -***** error [KK, PP] = stk_make_matcov (model); -***** test [Ka, Pa] = stk_make_matcov (model, x0); % (1) -***** test [Kb, Pb] = stk_make_matcov (model, x0, x0); % (2) -***** test [Kc, Pc] = stk_make_matcov (model, x0, x1); % (3) -***** error [KK, PP] = stk_make_matcov (model, x0, x1, pi); -***** assert (isequal (size (Ka), [n0 n0])); -***** assert (isequal (size (Kb), [n0 n0])); -***** assert (isequal (size (Kc), [n0 n1])); -***** assert (isequal (size (Pa), [n0 d + 1])); -***** assert (isequal (size (Pb), [n0 d + 1])); -***** assert (isequal (size (Pc), [n0 d + 1])); -***** assert (isequal (Kb, Ka)); -***** test [Ka, Pa] = stk_make_matcov (model2, x0); % (1') -***** test [Kb, Pb] = stk_make_matcov (model2, x0, x0); % (2') -***** error assert (isequal (Kb, Ka)); -***** assert (isequal (Pa, Pb)); -***** assert (isequal (Pa, Pc)); -18 tests, 18 passed, 0 known failure, 0 skipped [inst/core/@stk_kreq_qr/stk_kreq_qr.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/@stk_kreq_qr/stk_kreq_qr.m ***** test stk_test_class ('stk_kreq_qr') 1 test, 1 passed, 0 known failure, 0 skipped -[inst/core/stk_model_update.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_model_update.m -***** test - x1 = (linspace (0, 1, 15))'; z1 = sin (x1); - x2 = (linspace (2, 3, 15))'; z2 = sin (x2); - xt = (linspace (1, 2, 15))'; zt = sin (xt); - - % Prior model - M0 = stk_model (@stk_materncov32_iso); - M0.param = log ([1.0; 2.1]); - - M1 = stk_model_update (M0, x1, z1); - M1 = stk_model_update (M1, x2, z2); % this calls @stk_model_gpposterior/... - zp1 = stk_predict (M1, xt); - - M2 = stk_model_gpposterior (M0, [x1; x2], [z1; z2]); - zp2 = stk_predict (M2, xt); - - assert (stk_isequal_tolabs (double (zp2 - zp1), zeros (15, 2), 1e-10)) -1 test, 1 passed, 0 known failure, 0 skipped [inst/core/stk_predict_leaveoneout.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_predict_leaveoneout.m ***** shared n, x_obs, z_obs, model @@ -9633,188 +9787,522 @@ assert (isequal (loo_res.colnames, {'residuals', 'norm_res'})); assert (all (isfinite (loo_res(:)))); 3 tests, 3 passed, 0 known failure, 0 skipped -[inst/core/stk_cholcov.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/core/stk_cholcov.m -***** shared Q, K, L, U, epsi - Q = 0.25 * hadamard(4); -***** test - K = Q * diag ([1, 0.1, 0.01, 1e-7]) * Q'; - [U, epsi] = stk_cholcov (K); -***** assert (istriu (U)) -***** assert (epsi == 0) -***** test - K = Q * diag ([1, 0.1, 0.01, 1e-7]) * Q'; - [L, epsi] = stk_cholcov (K, 'lower'); -***** assert (istril (L)) -***** assert (epsi == 0) -***** test - K = Q * diag ([1, 0.1, 0.01, -1e-7]) * Q'; - [U, epsi] = stk_cholcov (K); -***** assert (istriu (U)) -***** assert (epsi > 0) -***** test - K = Q * diag ([1, 0.1, 0.01, -1e-7]) * Q'; - [L, epsi] = stk_cholcov (K, 'lower'); -***** assert (istril (L)) -***** assert (epsi > 0) -12 tests, 12 passed, 0 known failure, 0 skipped -[inst/covfcs/stk_sphcov_aniso.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_sphcov_aniso.m -***** shared param, x, y, K1, K2, K3 - dim = 1; - param = log ([1.0; 2.5]); - x = stk_sampling_randunif (5, dim); - y = stk_sampling_randunif (6, dim); -***** error K0 = stk_sphcov_aniso (); -***** error K0 = stk_sphcov_aniso (param); -***** error K0 = stk_sphcov_aniso (param, x); -***** test K1 = stk_sphcov_aniso (param, x, y); -***** test K2 = stk_sphcov_aniso (param, x, y, -1); -***** test K3 = stk_sphcov_aniso (param, x, y, -1, false); -***** assert (isequal (K1, K2)); -***** assert (isequal (K1, K3)); -***** test % df versus ordinary array - u = double (x); v = double (y); - K1 = stk_sphcov_aniso (param, u, v, -1); - K2 = stk_sphcov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); - assert (isequal (K1, K2)); -***** error stk_sphcov_aniso (param, x, y, -2); -***** test stk_sphcov_aniso (param, x, y, -1); -***** error stk_sphcov_aniso (param, x, y, 0); -***** test stk_sphcov_aniso (param, x, y, 1); -***** test stk_sphcov_aniso (param, x, y, 2); -***** error stk_sphcov_aniso (param, x, y, 3); -***** error stk_sphcov_aniso (param, x, y, nan); -***** error stk_sphcov_aniso (param, x, y, inf); -***** shared dim, param, x, y, nx, ny - dim = 3; - param = log ([1.0; 2.5; 2.4; 2.6]); - nx = 4; ny = 10; - x = stk_sampling_randunif (nx, dim); - y = stk_sampling_randunif (ny, dim); +[inst/param/estim/stk_param_init_lnv.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_init_lnv.m ***** test - K1 = stk_sphcov_aniso (param, x, y); - K2 = stk_sphcov_aniso (param, x, y, -1); - assert (isequal (size(K1), [nx ny])); - assert (stk_isequal_tolabs (K1, K2)); + f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); + ni = 20; + xi = (linspace (-1, 1, ni))' + 0.2 * (randn (ni, 1)); + zi = stk_feval (f, xi); + + model = stk_model (@stk_materncov_iso); + model.param = log ([1; 5/2; 1/0.4]); + model.lognoisevariance = nan; + lnv = stk_param_init_lnv (model, xi, zi); + + assert ((isscalar (lnv)) && (lnv > -30) && (lnv < 30)); +1 test, 1 passed, 0 known failure, 0 skipped +[inst/param/estim/stk_param_relik.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_relik.m +***** shared f, xi, zi, NI, model, C, dC1, dC2 + + f = @(x)(- (0.8 * x(:, 1) + sin (5 * x(:, 2) + 1) ... + + 0.1 * sin (10 * x(:, 3)))); + DIM = 3; NI = 20; box = repmat ([-1.0; 1.0], 1, DIM); + xi = stk_sampling_halton_rr2 (NI, DIM, box); + zi = stk_feval (f, xi); + + SIGMA2 = 1.0; % variance parameter + NU = 4.0; % regularity parameter + RHO1 = 0.4; % scale (range) parameter + + model = stk_model (@stk_materncov_aniso); + model.param = log ([SIGMA2; NU; 1/RHO1 * ones(DIM, 1)]); +***** error [C, dC1, dC2] = stk_param_relik (); +***** error [C, dC1, dC2] = stk_param_relik (model); +***** error [C, dC1, dC2] = stk_param_relik (model, xi); +***** test [C, dC1, dC2] = stk_param_relik (model, xi, zi); ***** test - for i = 1:(dim + 1), - dK = stk_sphcov_aniso (param, x, y, i); - assert (isequal (size (dK), [nx ny])); + TOL_REL = 0.01; + assert (stk_isequal_tolrel (C, 21.6, TOL_REL)); + assert (stk_isequal_tolrel (dC1, [4.387 -0.1803 0.7917 0.1392 2.580]', TOL_REL)); + assert (isequal (dC2, [])); +***** shared xi, zi, model, TOL_REL + xi = [-1 -.6 -.2 .2 .6 1]'; + zi = [-0.11 1.30 0.23 -1.14 0.36 -0.37]'; + model = stk_model (@stk_materncov_iso); + model.param = log ([1.0 4.0 2.5]); + model.lognoisevariance = log (0.01); + TOL_REL = 0.01; +***** test % Another simple 1D check + [C, dC1, dC2] = stk_param_relik (model, xi, zi); + assert (stk_isequal_tolrel (C, 6.327, TOL_REL)); + assert (stk_isequal_tolrel (dC1, [0.268 0.0149 -0.636]', TOL_REL)); + assert (stk_isequal_tolrel (dC2, -1.581e-04, TOL_REL)); +***** test % Same 1D test with simple kriging + model.lm = stk_lm_null; + [C, dC1, dC2] = stk_param_relik (model, xi, zi); + assert (stk_isequal_tolrel (C, 7.475, TOL_REL)); + assert (stk_isequal_tolrel (dC1, [0.765 0.0238 -1.019]', TOL_REL)); + assert (stk_isequal_tolrel (dC2, 3.0517e-03, TOL_REL)); +***** test % Check the gradient on a 2D test case + + f = @stk_testfun_braninhoo; + DIM = 2; + BOX = [[-5; 10], [0; 15]]; + NI = 20; + TOL_REL = 1e-2; + DELTA = 1e-6; + + model = stk_model (@stk_materncov52_iso, DIM); + model.param = [1 1]; + + xi = stk_sampling_halton_rr2 (NI, DIM, BOX); + zi = stk_feval (f, xi); + + for range = [0.3 2 10] + model.param(2) = - log (range); + for diff = 1:2 + assert (stk_test_critgrad ... + (@stk_param_relik, model, xi, zi, diff, 1e-6)); + end end +8 tests, 8 passed, 0 known failure, 0 skipped +[inst/param/estim/stk_param_gls.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_gls.m +***** shared xi, zi, model, beta, sigma2 + xi = (1:10)'; zi = sin (xi); + model = stk_model (@stk_materncov52_iso); + model.param = [0.0 0.0]; ***** test - n = 7; - x = stk_sampling_randunif (n, dim); - y = stk_sampling_randunif (n, dim); + model.lm = stk_lm_constant (); + [beta, sigma2] = stk_param_gls (model, xi, zi); +***** assert (stk_isequal_tolabs (beta, 0.1346064, 1e-6)) +***** assert (stk_isequal_tolabs (sigma2, 0.4295288, 1e-6)) +***** test + model.lm = stk_lm_affine (); + [beta, sigma2] = stk_param_gls (model, xi, zi); +***** assert (stk_isequal_tolabs (beta, [0.4728342; -0.0614960], 1e-6)) +***** assert (stk_isequal_tolabs (sigma2, 0.4559431, 1e-6)) +***** test + model.lm = stk_lm_null (); + [beta, sigma2] = stk_param_gls (model, xi, zi); +***** assert (isequal (beta, zeros (0, 1))) +***** assert (stk_isequal_tolabs (sigma2, 0.3977993, 1e-6)) +9 tests, 9 passed, 0 known failure, 0 skipped +[inst/param/estim/stk_param_estim.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_estim.m +***** shared f, xi, zi, NI, param0, param1, model - K1 = stk_sphcov_aniso (param, x, y); - K2 = stk_sphcov_aniso (param, x, y, -1, true); - assert (isequal (size (K1), [n n])); - assert (stk_isequal_tolabs (K2, diag (K1))); + f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x)) ); + DIM = 1; NI = 20; box = [-1.0; 1.0]; + xi = stk_sampling_regulargrid (NI, DIM, box); - for i = 1:(dim + 1), - dK1 = stk_sphcov_aniso (param, x, y, i); - dK2 = stk_sphcov_aniso (param, x, y, i, true); - assert (isequal (size (dK1), [n n])); - assert (stk_isequal_tolabs (dK2, diag (dK1))); - end -20 tests, 20 passed, 0 known failure, 0 skipped -[inst/covfcs/stk_materncov32_iso.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov32_iso.m + SIGMA2 = 1.0; % variance parameter + NU = 4.0; % regularity parameter + RHO1 = 0.4; % scale (range) parameter + param0 = log ([SIGMA2; NU; 1/RHO1]); + + model = stk_model (@stk_materncov_iso); +***** test % noiseless + zi = stk_feval (f, xi); + param1 = stk_param_estim (model, xi, zi, param0); + assert (isequal (size (param1), size (param0))) +warning: sqp: QP subproblem is non-convex and unbounded +warning: called from + sqp at line 441 column 9 + stk_minimize_boxconstrained at line 57 column 18 + stk_param_estim_optim at line 70 column 23 + stk_param_estim at line 139 column 15 + __test__ at line 4 column 9 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 1726 column 31 + +***** test % same thing, with empty lnv0 (ok) + param2 = stk_param_estim (model, xi, zi, param0, []); + assert (stk_isequal_tolrel (param2, param1, 1e-2)) +warning: sqp: QP subproblem is non-convex and unbounded +warning: called from + sqp at line 441 column 9 + stk_minimize_boxconstrained at line 57 column 18 + stk_param_estim_optim at line 70 column 23 + stk_param_estim at line 139 column 15 + __test__ at line 3 column 9 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 1726 column 31 + +***** error % same thing, with lnv0 == NaN (not ok as a starting point) + param2 = stk_param_estim (model, xi, zi, param0, nan); +***** error % same thing, with lnv0 == -inf (not ok as a starting point) + param2 = stk_param_estim (model, xi, zi, param0, -inf); +***** test % same thing, with explicit value for 'criterion' + param2 = stk_param_estim (model, xi, zi, param0, [], @stk_param_relik); + assert (stk_isequal_tolrel (param1, param2, 1e-2)) +warning: sqp: QP subproblem is non-convex and unbounded +warning: called from + sqp at line 441 column 9 + stk_minimize_boxconstrained at line 57 column 18 + stk_param_estim_optim at line 70 column 23 + stk_param_estim at line 139 column 15 + __test__ at line 3 column 9 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 1726 column 31 + +***** test % noiseless + zi = stk_feval (f, xi); + param1 = stk_param_estim (model, xi, zi, param0); + param2 = stk_param_estim (model, xi, zi, param0, [], @stk_param_relik); + % We cannot assume a DETERMINISTIC optimization algorithm + % (for some reason, Octave's sqp is not exactly deterministic) + assert (stk_isequal_tolrel (param1, param2, 1e-2)) +warning: sqp: QP subproblem is non-convex and unbounded +warning: called from + sqp at line 441 column 9 + stk_minimize_boxconstrained at line 57 column 18 + stk_param_estim_optim at line 70 column 23 + stk_param_estim at line 139 column 15 + __test__ at line 4 column 9 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 1726 column 31 + +warning: sqp: QP subproblem is non-convex and unbounded +warning: called from + sqp at line 441 column 9 + stk_minimize_boxconstrained at line 57 column 18 + stk_param_estim_optim at line 70 column 23 + stk_param_estim at line 139 column 15 + __test__ at line 5 column 9 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 1726 column 31 + +***** test % noisy + NOISE_STD_TRUE = 0.1; + NOISE_STD_INIT = 1e-5; + zi = zi + NOISE_STD_TRUE * randn(NI, 1); + model.lognoisevariance = 2 * log(NOISE_STD_INIT); + [param, lnv] = stk_param_estim ... + (model, xi, zi, param0, model.lognoisevariance); +***** error param = stk_param_estim () +***** error param = stk_param_estim (model); +***** error param = stk_param_estim (model, xi); +***** test % Constant response + model = stk_model (@stk_materncov52_iso); + n = 10; x = stk_sampling_regulargrid (n, 1, [0; 1]); z = ones (size (x)); + param = stk_param_estim (model, x, z); + assert ((all (isfinite (param))) && (length (param) == 2)); +warning: Constant-response data: the output of stk_param_estim is likely to be unreliable. +warning: called from + stk_param_estim at line 95 column 5 + __test__ at line 5 column 8 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 1726 column 31 + +warning: Parameter estimation is impossible with constant-response data. +warning: called from + stk_param_init>paraminit_ at line 351 column 5 + stk_param_init>stk_param_init_ at line 323 column 14 + stk_param_init at line 87 column 18 + stk_param_estim>provide_starting_point at line 205 column 20 + stk_param_estim at line 110 column 30 + __test__ at line 5 column 8 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 1726 column 31 + +11 tests, 11 passed, 0 known failure, 0 skipped +[inst/param/estim/stk_param_init.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_init.m +***** test + xi = (1:10)'; zi = sin (xi); + model = stk_model (@stk_materncov52_iso); + model.param = stk_param_init (model, xi, zi, [1; 10], false); + xt = (1:9)' + 0.5; zt = sin (xt); + zp = stk_predict (model, xi, zi, xt); + assert (sum ((zt - zp.mean) .^ 2) < 1e-3); +***** test % check equivariance of parameter estimates + f = @(x) sin (x); + xi = stk_sampling_regulargrid (10, 1); zi = stk_feval (f, xi); + shift = 1000; scale = 0.01; + model = stk_model (@stk_materncov32_iso); + p1 = stk_param_init (model, xi, zi); + p2 = stk_param_init (model, xi, shift + scale .* zi); + assert (stk_isequal_tolabs (p2(1), p1(1) + log (scale^2), 1e-10)) + assert (stk_isequal_tolabs (p2(2), p1(2), eps)) +***** shared xi, zi, BOX, xt, zt + + f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); + DIM = 1; % Dimension of the factor space + BOX = [-1.0; 1.0]; % Factor space + + xi = stk_sampling_regulargrid (20, DIM, BOX); % Evaluation points + zi = stk_feval (f, xi); % Evaluation results + + NT = 400; % Number of points in the grid + xt = stk_sampling_regulargrid (NT, DIM, BOX); % Generate a regular grid + zt = stk_feval (f, xt); % Values of f on the grid +***** xtest % This test is known to fail in Debian buster i386 + % because of a known problem in Octave's sqp/qp functions + % http://savannah.gnu.org/bugs/?38875 + model = stk_model (@stk_materncov_iso); + [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); + model.param = stk_param_estim (model, xi, zi, param0); + zp = stk_predict (model, xi, zi, xt); + assert (max ((zp.mean - zt) .^ 2) < 1e-3) +warning: sqp: QP subproblem is non-convex and unbounded +warning: called from + sqp at line 441 column 9 + stk_minimize_boxconstrained at line 57 column 18 + stk_param_estim_optim at line 70 column 23 + stk_param_estim at line 139 column 15 + __test__ at line 7 column 14 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 1734 column 31 + +***** test + model = stk_model (@stk_materncov_aniso); + [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); + model.param = stk_param_estim (model, xi, zi, param0); + zp = stk_predict (model, xi, zi, xt); + assert (max ((zp.mean - zt) .^ 2) < 1e-3) +warning: sqp: QP subproblem is non-convex and unbounded +warning: called from + sqp at line 441 column 9 + stk_minimize_boxconstrained at line 57 column 18 + stk_param_estim_optim at line 70 column 23 + stk_param_estim at line 139 column 15 + __test__ at line 5 column 14 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 1734 column 31 + +***** test + model = stk_model (@stk_materncov32_iso); + [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); + model.param = stk_param_estim (model, xi, zi, param0); + zp = stk_predict (model, xi, zi, xt); + assert (max ((zp.mean - zt) .^ 2) < 1e-3) +***** test + model = stk_model (@stk_materncov32_aniso); + [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); + model.param = stk_param_estim (model, xi, zi, param0); + zp = stk_predict (model, xi, zi, xt); + assert (max ((zp.mean - zt) .^ 2) < 1e-3) +***** test + model = stk_model (@stk_materncov52_iso); + [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); + model.param = stk_param_estim (model, xi, zi, param0); + zp = stk_predict (model, xi, zi, xt); + assert (max ((zp.mean - zt) .^ 2) < 1e-3) +***** test + model = stk_model (@stk_materncov52_aniso); + [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); + model.param = stk_param_estim (model, xi, zi, param0); + zp = stk_predict (model, xi, zi, xt); + assert (max ((zp.mean - zt) .^ 2) < 1e-3) +***** test + model = stk_model (@stk_gausscov_iso); + [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); + model.param = stk_param_estim (model, xi, zi, param0); + zp = stk_predict (model, xi, zi, xt); + assert (max ((zp.mean - zt) .^ 2) < 1e-3) +warning: matrix singular to machine precision, rcond = 1.21281e-17 +warning: called from + linsolve at line 113 column 7 + linsolve at line 42 column 3 + stk_set_righthandside at line 44 column 16 + stk_make_kreq at line 35 column 6 + stk_predict_ at line 112 column 10 + stk_predict at line 104 column 16 + __test__ at line 6 column 5 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 1734 column 31 + +***** test + model = stk_model (@stk_gausscov_aniso); + [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); + model.param = stk_param_estim (model, xi, zi, param0); + zp = stk_predict (model, xi, zi, xt); + assert (max ((zp.mean - zt) .^ 2) < 1e-3) +warning: matrix singular to machine precision, rcond = 3.93346e-18 +warning: called from + linsolve at line 113 column 7 + linsolve at line 42 column 3 + stk_set_righthandside at line 44 column 16 + stk_make_kreq at line 35 column 6 + stk_predict_ at line 112 column 10 + stk_predict at line 104 column 16 + __test__ at line 6 column 5 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 1734 column 31 + +***** test % Homoscedastic case / do_estim_lnv = true + model = stk_model (@stk_materncov32_iso); + [model.param, model.lognoisevariance] = ... + stk_param_init (model, xi, zi, BOX, true); + [model.param, model.lognoisevariance] = ... + stk_param_estim (model, xi, zi); + zp = stk_predict (model, xi, zi, xt); + assert (model.lognoisevariance > -inf); + assert (max ((zp.mean - zt) .^ 2) < 1e-3) +warning: This way of setting do_estim_lnv is deprecated +warning: called from + stk_param_init>stk_param_init_ at line 250 column 5 + stk_param_init at line 87 column 18 + __test__ at line 4 column 40 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 1734 column 31 + +***** error % Homoscedastic case / do_estim_lnv = false / model.lnv = nan + model = stk_model (@stk_materncov32_iso); + model.lognoisevariance = nan; % not compatible with do_estim_lnv == false + [model.param, model.lognoisevariance] = ... + stk_param_init (model, xi, zi, BOX, false); +***** test % Heteroscedastic case / known noise variance + model = stk_model (@stk_materncov32_iso); + lnv = log ((100 + rand (size (zi))) / 1e6); + model.lognoisevariance = lnv; % here we say that lnv is known + [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); + model.param = stk_param_estim (model, xi, zi, param0); + zp = stk_predict (model, xi, zi, xt); + assert (isequal (model.lognoisevariance, lnv)); % should be untouched + assert (max ((zp.mean - zt) .^ 2) < 1e-3) +***** shared model, x, z + model = stk_model (@stk_materncov52_iso); + n = 10; x = stk_sampling_regulargrid (n, 1, [0; 1]); z = ones (size (x)); +***** test % Constant response, noiseless model + [param, lnv] = stk_param_init (model, x, z); + assert ((all (isfinite (param))) && (length (param) == 2)); + assert (isequal (lnv, -inf)); +warning: Parameter estimation is impossible with constant-response data. +warning: called from + stk_param_init>paraminit_ at line 351 column 5 + stk_param_init>stk_param_init_ at line 323 column 14 + stk_param_init at line 87 column 18 + __test__ at line 3 column 15 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 1734 column 31 + +***** test % Constant response, noisy model + model.lognoisevariance = nan; + [param, lnv] = stk_param_init (model, x, z); + assert ((all (isfinite (param))) && (length (param) == 2)); + assert (isscalar (lnv) && isfinite (lnv)); +warning: Parameter estimation is impossible with constant-response data. +warning: called from + stk_param_init>paraminit_ at line 351 column 5 + stk_param_init>stk_param_init_ at line 323 column 14 + stk_param_init at line 87 column 18 + __test__ at line 4 column 15 + test at line 682 column 11 + /tmp/tmp.dk3rcEETWE at line 1734 column 31 + +15 tests, 15 passed, 0 known failure, 0 skipped +[inst/covfcs/stk_materncov_aniso.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov_aniso.m ***** shared param, x, y dim = 1; - param = log ([1.0; 2.5]); - x = stk_sampling_randunif (5, dim); - y = stk_sampling_randunif (5, dim); -***** error K = stk_materncov32_iso ([param; 1.234], x, y); -***** error stk_materncov32_iso (); -***** error stk_materncov32_iso (param); -***** error stk_materncov32_iso (param, x); -***** test stk_materncov32_iso (param, x, y); -***** test stk_materncov32_iso (param, x, y, -1); -***** test stk_materncov32_iso (param, x, y, -1, false); -***** error stk_materncov32_iso (param, x, y, -2); -***** test stk_materncov32_iso (param, x, y, -1); -***** error stk_materncov32_iso (param, x, y, 0); -***** test stk_materncov32_iso (param, x, y, 1); -***** test stk_materncov32_iso (param, x, y, 2); -***** error stk_materncov32_iso (param, x, y, 3); -***** error stk_materncov32_iso (param, x, y, nan); -***** error stk_materncov32_iso (param, x, y, inf); + param = log ([1.0; 1.5; 2.8]); + x = stk_sampling_randunif(5, dim); + y = stk_sampling_randunif(5, dim); +***** error stk_materncov_aniso(); +***** error stk_materncov_aniso(param); +***** error stk_materncov_aniso(param, x); +***** test stk_materncov_aniso(param, x, y); +***** test stk_materncov_aniso(param, x, y, -1); +***** test stk_materncov_aniso(param, x, y, -1, false); +***** error stk_materncov_aniso(param, x, y, -2); +***** test stk_materncov_aniso(param, x, y, -1); +***** error stk_materncov_aniso(param, x, y, 0); +***** test stk_materncov_aniso(param, x, y, 1); +***** test stk_materncov_aniso(param, x, y, 2); +***** test stk_materncov_aniso(param, x, y, 3); +***** error stk_materncov_aniso(param, x, y, 4); +***** error stk_materncov_aniso(param, x, y, nan); +***** error stk_materncov_aniso(param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; - param = log ([1.0; 2.5]); + param = log ([1.0; 1.5; 2.8; 2.7; 2.9]); nx = 4; ny = 10; - x = stk_sampling_randunif (nx, dim); - y = stk_sampling_randunif (ny, dim); + x = stk_sampling_randunif(nx, dim); + y = stk_sampling_randunif(ny, dim); ***** test - K1 = stk_materncov32_iso (param, x, y); - K2 = stk_materncov32_iso (param, x, y, -1); - assert (isequal (size (K1), [nx ny])); - assert (stk_isequal_tolabs (K1, K2)); + K1 = stk_materncov_aniso(param, x, y); + K2 = stk_materncov_aniso(param, x, y, -1); + assert(isequal(size(K1), [nx ny])); + assert(stk_isequal_tolabs(K1, K2)); ***** test - for i = 1:2, - dK = stk_materncov32_iso (param, x, y, i); - assert (isequal (size (dK), [nx ny])); + for i = 1:(dim+2), + dK = stk_materncov_aniso(param, x, y, i); + assert(isequal(size(dK), [nx ny])); end ***** test n = 7; - x = stk_sampling_randunif (n, dim); - y = stk_sampling_randunif (n, dim); + x = stk_sampling_randunif(n, dim); + y = stk_sampling_randunif(n, dim); - K1 = stk_materncov32_iso (param, x, y); - K2 = stk_materncov32_iso (param, x, y, -1, true); - assert (isequal (size (K1), [n n])); - assert (stk_isequal_tolabs (K2, diag (K1))); + K1 = stk_materncov_aniso(param, x, y); + K2 = stk_materncov_aniso(param, x, y, -1, true); + assert(isequal(size(K1), [n n])); + assert(stk_isequal_tolabs(K2, diag(K1))); - for i = 1:2, - dK1 = stk_materncov32_iso (param, x, y, i); - dK2 = stk_materncov32_iso (param, x, y, i, true); - assert (isequal (size (dK1), [n n])); - assert (stk_isequal_tolabs (dK2, diag (dK1))); + for i = 1:(dim+2), + dK1 = stk_materncov_aniso(param, x, y, i); + dK2 = stk_materncov_aniso(param, x, y, i, true); + assert(isequal(size(dK1), [n n])); + assert(stk_isequal_tolabs(dK2, diag(dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped -[inst/covfcs/stk_expcov_aniso.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_expcov_aniso.m +[inst/covfcs/stk_noisecov.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_noisecov.m +***** shared ni, lognoisevariance, diff + ni = 5; + lognoisevariance = 0.0; + diff = -1; +***** error K = stk_noisecov (); +***** error K = stk_noisecov (ni); +***** test K = stk_noisecov (ni, lognoisevariance); +***** test K = stk_noisecov (ni, lognoisevariance, diff); +***** test K = stk_noisecov (ni, lognoisevariance, diff, true); +5 tests, 5 passed, 0 known failure, 0 skipped +[inst/covfcs/stk_gausscov_aniso.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_gausscov_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); -***** error K0 = stk_expcov_aniso (); -***** error K0 = stk_expcov_aniso (param); -***** error K0 = stk_expcov_aniso (param, x); -***** test K1 = stk_expcov_aniso (param, x, y); -***** test K2 = stk_expcov_aniso (param, x, y, -1); -***** test K3 = stk_expcov_aniso (param, x, y, -1, false); +***** error K0 = stk_gausscov_aniso (); +***** error K0 = stk_gausscov_aniso (param); +***** error K0 = stk_gausscov_aniso (param, x); +***** test K1 = stk_gausscov_aniso (param, x, y); +***** test K2 = stk_gausscov_aniso (param, x, y, -1); +***** test K3 = stk_gausscov_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); - K1 = stk_expcov_aniso (param, u, v, -1); - K2 = stk_expcov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); -***** error stk_expcov_aniso (param, x, y, -2); -***** test stk_expcov_aniso (param, x, y, -1); -***** error stk_expcov_aniso (param, x, y, 0); -***** test stk_expcov_aniso (param, x, y, 1); -***** test stk_expcov_aniso (param, x, y, 2); -***** error stk_expcov_aniso (param, x, y, 3); -***** error stk_expcov_aniso (param, x, y, nan); -***** error stk_expcov_aniso (param, x, y, inf); + K1 = stk_gausscov_aniso (param, u, v, -1); + K2 = stk_gausscov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); +***** error stk_gausscov_aniso (param, x, y, -2); +***** test stk_gausscov_aniso (param, x, y, -1); +***** error stk_gausscov_aniso (param, x, y, 0); +***** test stk_gausscov_aniso (param, x, y, 1); +***** test stk_gausscov_aniso (param, x, y, 2); +***** error stk_gausscov_aniso (param, x, y, 3); +***** error stk_gausscov_aniso (param, x, y, nan); +***** error stk_gausscov_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); - nx = 4; ny = 10; + nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test - K1 = stk_expcov_aniso (param, x, y); - K2 = stk_expcov_aniso (param, x, y, -1); - assert (isequal (size(K1), [nx ny])); + K1 = stk_gausscov_aniso (param, x, y); + K2 = stk_gausscov_aniso (param, x, y, -1); + assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), - dK = stk_expcov_aniso (param, x, y, i); + dK = stk_gausscov_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test @@ -9822,40 +10310,40 @@ x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); - K1 = stk_expcov_aniso (param, x, y); - K2 = stk_expcov_aniso (param, x, y, -1, true); + K1 = stk_gausscov_aniso (param, x, y); + K2 = stk_gausscov_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), - dK1 = stk_expcov_aniso (param, x, y, i); - dK2 = stk_expcov_aniso (param, x, y, i, true); + dK1 = stk_gausscov_aniso (param, x, y, i); + dK2 = stk_gausscov_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped -[inst/covfcs/stk_materncov52_iso.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov52_iso.m +[inst/covfcs/stk_gausscov_iso.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_gausscov_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); -***** error K = stk_materncov52_iso ([param; 1.234], x, y); -***** error stk_materncov52_iso (); -***** error stk_materncov52_iso (param); -***** error stk_materncov52_iso (param, x); -***** test stk_materncov52_iso (param, x, y); -***** test stk_materncov52_iso (param, x, y, -1); -***** test stk_materncov52_iso (param, x, y, -1, false); -***** error stk_materncov52_iso (param, x, y, -2); -***** test stk_materncov52_iso (param, x, y, -1); -***** error stk_materncov52_iso (param, x, y, 0); -***** test stk_materncov52_iso (param, x, y, 1); -***** test stk_materncov52_iso (param, x, y, 2); -***** error stk_materncov52_iso (param, x, y, 3); -***** error stk_materncov52_iso (param, x, y, nan); -***** error stk_materncov52_iso (param, x, y, inf); +***** error K = stk_gausscov_iso ([param; 1.234], x, y); +***** error stk_gausscov_iso (); +***** error stk_gausscov_iso (param); +***** error stk_gausscov_iso (param, x); +***** test stk_gausscov_iso (param, x, y); +***** test stk_gausscov_iso (param, x, y, -1); +***** test stk_gausscov_iso (param, x, y, -1, false); +***** error stk_gausscov_iso (param, x, y, -2); +***** test stk_gausscov_iso (param, x, y, -1); +***** error stk_gausscov_iso (param, x, y, 0); +***** test stk_gausscov_iso (param, x, y, 1); +***** test stk_gausscov_iso (param, x, y, 2); +***** error stk_gausscov_iso (param, x, y, 3); +***** error stk_gausscov_iso (param, x, y, nan); +***** error stk_gausscov_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); @@ -9863,13 +10351,13 @@ x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test - K1 = stk_materncov52_iso (param, x, y); - K2 = stk_materncov52_iso (param, x, y, -1); + K1 = stk_gausscov_iso (param, x, y); + K2 = stk_gausscov_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, - dK = stk_materncov52_iso (param, x, y, i); + dK = stk_gausscov_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test @@ -9877,54 +10365,179 @@ x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); - K1 = stk_materncov52_iso (param, x, y); - K2 = stk_materncov52_iso (param, x, y, -1, true); + K1 = stk_gausscov_iso (param, x, y); + K2 = stk_gausscov_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, - dK1 = stk_materncov52_iso (param, x, y, i); - dK2 = stk_materncov52_iso (param, x, y, i, true); + dK1 = stk_gausscov_iso (param, x, y, i); + dK2 = stk_gausscov_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped -[inst/covfcs/stk_sphcov_iso.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_sphcov_iso.m -***** shared param, x, y +[inst/covfcs/rbf/stk_rbf_matern32.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_matern32.m +***** shared h, diff + h = 1.0; diff = -1; +***** error stk_rbf_matern32 (); +***** test stk_rbf_matern32 (h); +***** test stk_rbf_matern32 (h, diff); +***** test %% h = 0.0 => correlation = 1.0 + x = stk_rbf_matern32 (0.0); + assert (stk_isequal_tolrel (x, 1.0, 1e-8)); +***** test %% consistency with stk_rbf_matern: function values + for h = 0.1:0.1:2.0, + x = stk_rbf_matern (3/2, h); + y = stk_rbf_matern32 (h); + assert (stk_isequal_tolrel (x, y, 1e-8)); + end +***** test %% consistency with stk_rbf_matern: derivatives + for h = 0.1:0.1:2.0, + x = stk_rbf_matern (3/2, h, 2); + y = stk_rbf_matern32 (h, 1); + assert (stk_isequal_tolrel (x, y, 1e-8)); + end +***** assert (stk_rbf_matern32 (inf) == 0) +7 tests, 7 passed, 0 known failure, 0 skipped +[inst/covfcs/rbf/stk_rbf_spherical.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_spherical.m +***** shared h, diff + h = 1.0; diff = -1; +***** error stk_rbf_spherical (); +***** test stk_rbf_spherical (h); +***** test stk_rbf_spherical (h, diff); +***** test %% h = 0.0 => correlation = 1.0 + x = stk_rbf_spherical (0.0); + assert (stk_isequal_tolrel (x, 1.0, 1e-8)); +***** test %% check derivative numerically + h = [-1 -0.5 -0.1 0.1 0.5 1]; delta = 1e-9; + d1 = (stk_rbf_spherical (h + delta) - stk_rbf_spherical (h)) / delta; + d2 = stk_rbf_spherical (h, 1); + assert (stk_isequal_tolabs (d1, d2, 1e-4)); +***** assert (stk_rbf_spherical (inf) == 0) +6 tests, 6 passed, 0 known failure, 0 skipped +[inst/covfcs/rbf/stk_rbf_exponential.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_exponential.m +***** shared h, diff + h = 1.0; diff = -1; +***** error stk_rbf_exponential (); +***** test stk_rbf_exponential (h); +***** test stk_rbf_exponential (h, diff); +***** test %% h = 0.0 => correlation = 1.0 + x = stk_rbf_exponential (0.0); + assert (stk_isequal_tolrel (x, 1.0, 1e-8)); +***** test %% check derivative numerically + h = [-1 -0.5 -0.1 0.1 0.5 1]; delta = 1e-9; + d1 = (stk_rbf_exponential (h + delta) - stk_rbf_exponential (h)) / delta; + d2 = stk_rbf_exponential (h, 1); + assert (stk_isequal_tolabs (d1, d2, 1e-4)); +***** test %% consistency with stk_rbf_matern: function values + for h = 0.1:0.1:2.0, + x = stk_rbf_matern (1/2, h); + y = stk_rbf_exponential (h); + assert (stk_isequal_tolrel (x, y, 1e-8)); + end +***** test %% consistency with stk_rbf_matern: derivatives + for h = 0.1:0.1:2.0, + x = stk_rbf_matern (1/2, h, 2); + y = stk_rbf_exponential (h, 1); + assert (stk_isequal_tolrel (x, y, 1e-8)); + end +***** assert (stk_rbf_exponential (inf) == 0) +8 tests, 8 passed, 0 known failure, 0 skipped +[inst/covfcs/rbf/stk_rbf_gauss.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_gauss.m +***** shared h, diff + h = 1.0; diff = -1; +***** error stk_rbf_gauss (); +***** test stk_rbf_gauss (h); +***** test stk_rbf_gauss (h, diff); +***** test % h = 0.0 => correlation = 1.0 + x = stk_rbf_gauss (0.0); + assert (stk_isequal_tolrel (x, 1.0, 1e-8)); +4 tests, 4 passed, 0 known failure, 0 skipped +[inst/covfcs/rbf/stk_rbf_matern52.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_matern52.m +***** shared h, diff + h = 1.0; diff = -1; +***** error stk_rbf_matern52 (); +***** test stk_rbf_matern52 (h); +***** test stk_rbf_matern52 (h, diff); +***** test %% h = 0.0 => correlation = 1.0 + x = stk_rbf_matern52 (0.0); + assert (stk_isequal_tolrel (x, 1.0, 1e-8)); +***** test %% consistency with stk_rbf_matern: function values + for h = 0.1:0.1:2.0, + x = stk_rbf_matern (5/2, h); + y = stk_rbf_matern52 (h); + assert (stk_isequal_tolrel (x, y, 1e-8)); + end +***** test %% consistency with stk_rbf_matern: derivatives + for h = 0.1:0.1:2.0, + x = stk_rbf_matern (5/2, h, 2); + y = stk_rbf_matern52 (h, 1); + assert (stk_isequal_tolrel (x, y, 1e-8)); + end +***** assert (stk_rbf_matern52 (inf) == 0) +7 tests, 7 passed, 0 known failure, 0 skipped +[inst/covfcs/rbf/stk_rbf_matern.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_matern.m +***** shared nu, h, diff + nu = 1.0; h = 1.0; diff = -1; +***** error stk_rbf_matern (); +***** error stk_rbf_matern (nu); +***** test stk_rbf_matern (nu, h); +***** test stk_rbf_matern (nu, h, diff); +***** test %% h = 0.0 => correlation = 1.0 + for nu = 0.1:0.2:5.0, + x = stk_rbf_matern (nu, 0.0); + assert (stk_isequal_tolrel (x, 1.0, 1e-8)); + end +5 tests, 5 passed, 0 known failure, 0 skipped +[inst/covfcs/stk_sphcov_aniso.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_sphcov_aniso.m +***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); - y = stk_sampling_randunif (5, dim); -***** error K = stk_sphcov_iso ([param; 1.234], x, y); -***** error stk_sphcov_iso (); -***** error stk_sphcov_iso (param); -***** error stk_sphcov_iso (param, x); -***** test stk_sphcov_iso (param, x, y); -***** test stk_sphcov_iso (param, x, y, -1); -***** test stk_sphcov_iso (param, x, y, -1, false); -***** error stk_sphcov_iso (param, x, y, -2); -***** test stk_sphcov_iso (param, x, y, -1); -***** error stk_sphcov_iso (param, x, y, 0); -***** test stk_sphcov_iso (param, x, y, 1); -***** test stk_sphcov_iso (param, x, y, 2); -***** error stk_sphcov_iso (param, x, y, 3); -***** error stk_sphcov_iso (param, x, y, nan); -***** error stk_sphcov_iso (param, x, y, inf); + y = stk_sampling_randunif (6, dim); +***** error K0 = stk_sphcov_aniso (); +***** error K0 = stk_sphcov_aniso (param); +***** error K0 = stk_sphcov_aniso (param, x); +***** test K1 = stk_sphcov_aniso (param, x, y); +***** test K2 = stk_sphcov_aniso (param, x, y, -1); +***** test K3 = stk_sphcov_aniso (param, x, y, -1, false); +***** assert (isequal (K1, K2)); +***** assert (isequal (K1, K3)); +***** test % df versus ordinary array + u = double (x); v = double (y); + K1 = stk_sphcov_aniso (param, u, v, -1); + K2 = stk_sphcov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); + assert (isequal (K1, K2)); +***** error stk_sphcov_aniso (param, x, y, -2); +***** test stk_sphcov_aniso (param, x, y, -1); +***** error stk_sphcov_aniso (param, x, y, 0); +***** test stk_sphcov_aniso (param, x, y, 1); +***** test stk_sphcov_aniso (param, x, y, 2); +***** error stk_sphcov_aniso (param, x, y, 3); +***** error stk_sphcov_aniso (param, x, y, nan); +***** error stk_sphcov_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; - param = log ([1.0; 2.5]); - nx = 4; ny = 10; + param = log ([1.0; 2.5; 2.4; 2.6]); + nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test - K1 = stk_sphcov_iso (param, x, y); - K2 = stk_sphcov_iso (param, x, y, -1); - assert (isequal (size (K1), [nx ny])); + K1 = stk_sphcov_aniso (param, x, y); + K2 = stk_sphcov_aniso (param, x, y, -1); + assert (isequal (size(K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test - for i = 1:2, - dK = stk_sphcov_iso (param, x, y, i); + for i = 1:(dim + 1), + dK = stk_sphcov_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test @@ -9932,18 +10545,18 @@ x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); - K1 = stk_sphcov_iso (param, x, y); - K2 = stk_sphcov_iso (param, x, y, -1, true); + K1 = stk_sphcov_aniso (param, x, y); + K2 = stk_sphcov_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); - for i = 1:2, - dK1 = stk_sphcov_iso (param, x, y, i); - dK2 = stk_sphcov_iso (param, x, y, i, true); + for i = 1:(dim + 1), + dK1 = stk_sphcov_aniso (param, x, y, i); + dK2 = stk_sphcov_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end -18 tests, 18 passed, 0 known failure, 0 skipped +20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_discretecov.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_discretecov.m ***** shared model, model2, x0 @@ -10035,18 +10648,66 @@ assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped -[inst/covfcs/stk_noisecov.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_noisecov.m -***** shared ni, lognoisevariance, diff - ni = 5; - lognoisevariance = 0.0; - diff = -1; -***** error K = stk_noisecov (); -***** error K = stk_noisecov (ni); -***** test K = stk_noisecov (ni, lognoisevariance); -***** test K = stk_noisecov (ni, lognoisevariance, diff); -***** test K = stk_noisecov (ni, lognoisevariance, diff, true); -5 tests, 5 passed, 0 known failure, 0 skipped +[inst/covfcs/stk_expcov_aniso.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_expcov_aniso.m +***** shared param, x, y, K1, K2, K3 + dim = 1; + param = log ([1.0; 2.5]); + x = stk_sampling_randunif (5, dim); + y = stk_sampling_randunif (6, dim); +***** error K0 = stk_expcov_aniso (); +***** error K0 = stk_expcov_aniso (param); +***** error K0 = stk_expcov_aniso (param, x); +***** test K1 = stk_expcov_aniso (param, x, y); +***** test K2 = stk_expcov_aniso (param, x, y, -1); +***** test K3 = stk_expcov_aniso (param, x, y, -1, false); +***** assert (isequal (K1, K2)); +***** assert (isequal (K1, K3)); +***** test % df versus ordinary array + u = double (x); v = double (y); + K1 = stk_expcov_aniso (param, u, v, -1); + K2 = stk_expcov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); +***** error stk_expcov_aniso (param, x, y, -2); +***** test stk_expcov_aniso (param, x, y, -1); +***** error stk_expcov_aniso (param, x, y, 0); +***** test stk_expcov_aniso (param, x, y, 1); +***** test stk_expcov_aniso (param, x, y, 2); +***** error stk_expcov_aniso (param, x, y, 3); +***** error stk_expcov_aniso (param, x, y, nan); +***** error stk_expcov_aniso (param, x, y, inf); +***** shared dim, param, x, y, nx, ny + dim = 3; + param = log ([1.0; 2.5; 2.4; 2.6]); + nx = 4; ny = 10; + x = stk_sampling_randunif (nx, dim); + y = stk_sampling_randunif (ny, dim); +***** test + K1 = stk_expcov_aniso (param, x, y); + K2 = stk_expcov_aniso (param, x, y, -1); + assert (isequal (size(K1), [nx ny])); + assert (stk_isequal_tolabs (K1, K2)); +***** test + for i = 1:(dim + 1), + dK = stk_expcov_aniso (param, x, y, i); + assert (isequal (size (dK), [nx ny])); + end +***** test + n = 7; + x = stk_sampling_randunif (n, dim); + y = stk_sampling_randunif (n, dim); + + K1 = stk_expcov_aniso (param, x, y); + K2 = stk_expcov_aniso (param, x, y, -1, true); + assert (isequal (size (K1), [n n])); + assert (stk_isequal_tolabs (K2, diag (K1))); + + for i = 1:(dim + 1), + dK1 = stk_expcov_aniso (param, x, y, i); + dK2 = stk_expcov_aniso (param, x, y, i, true); + assert (isequal (size (dK1), [n n])); + assert (stk_isequal_tolabs (dK2, diag (dK1))); + end +20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_expcov_iso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_expcov_iso.m ***** shared param, x, y @@ -10102,47 +10763,42 @@ assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped -[inst/covfcs/stk_gausscov_aniso.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_gausscov_aniso.m -***** shared param, x, y, K1, K2, K3 +[inst/covfcs/stk_materncov52_iso.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov52_iso.m +***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); - y = stk_sampling_randunif (6, dim); -***** error K0 = stk_gausscov_aniso (); -***** error K0 = stk_gausscov_aniso (param); -***** error K0 = stk_gausscov_aniso (param, x); -***** test K1 = stk_gausscov_aniso (param, x, y); -***** test K2 = stk_gausscov_aniso (param, x, y, -1); -***** test K3 = stk_gausscov_aniso (param, x, y, -1, false); -***** assert (isequal (K1, K2)); -***** assert (isequal (K1, K3)); -***** test % df versus ordinary array - u = double (x); v = double (y); - K1 = stk_gausscov_aniso (param, u, v, -1); - K2 = stk_gausscov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); -***** error stk_gausscov_aniso (param, x, y, -2); -***** test stk_gausscov_aniso (param, x, y, -1); -***** error stk_gausscov_aniso (param, x, y, 0); -***** test stk_gausscov_aniso (param, x, y, 1); -***** test stk_gausscov_aniso (param, x, y, 2); -***** error stk_gausscov_aniso (param, x, y, 3); -***** error stk_gausscov_aniso (param, x, y, nan); -***** error stk_gausscov_aniso (param, x, y, inf); + y = stk_sampling_randunif (5, dim); +***** error K = stk_materncov52_iso ([param; 1.234], x, y); +***** error stk_materncov52_iso (); +***** error stk_materncov52_iso (param); +***** error stk_materncov52_iso (param, x); +***** test stk_materncov52_iso (param, x, y); +***** test stk_materncov52_iso (param, x, y, -1); +***** test stk_materncov52_iso (param, x, y, -1, false); +***** error stk_materncov52_iso (param, x, y, -2); +***** test stk_materncov52_iso (param, x, y, -1); +***** error stk_materncov52_iso (param, x, y, 0); +***** test stk_materncov52_iso (param, x, y, 1); +***** test stk_materncov52_iso (param, x, y, 2); +***** error stk_materncov52_iso (param, x, y, 3); +***** error stk_materncov52_iso (param, x, y, nan); +***** error stk_materncov52_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; - param = log ([1.0; 2.5; 2.4; 2.6]); + param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test - K1 = stk_gausscov_aniso (param, x, y); - K2 = stk_gausscov_aniso (param, x, y, -1); + K1 = stk_materncov52_iso (param, x, y); + K2 = stk_materncov52_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test - for i = 1:(dim + 1), - dK = stk_gausscov_aniso (param, x, y, i); + for i = 1:2, + dK = stk_materncov52_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test @@ -10150,40 +10806,40 @@ x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); - K1 = stk_gausscov_aniso (param, x, y); - K2 = stk_gausscov_aniso (param, x, y, -1, true); + K1 = stk_materncov52_iso (param, x, y); + K2 = stk_materncov52_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); - for i = 1:(dim + 1), - dK1 = stk_gausscov_aniso (param, x, y, i); - dK2 = stk_gausscov_aniso (param, x, y, i, true); + for i = 1:2, + dK1 = stk_materncov52_iso (param, x, y, i); + dK2 = stk_materncov52_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end -20 tests, 20 passed, 0 known failure, 0 skipped -[inst/covfcs/stk_gausscov_iso.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_gausscov_iso.m +18 tests, 18 passed, 0 known failure, 0 skipped +[inst/covfcs/stk_materncov32_iso.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov32_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); -***** error K = stk_gausscov_iso ([param; 1.234], x, y); -***** error stk_gausscov_iso (); -***** error stk_gausscov_iso (param); -***** error stk_gausscov_iso (param, x); -***** test stk_gausscov_iso (param, x, y); -***** test stk_gausscov_iso (param, x, y, -1); -***** test stk_gausscov_iso (param, x, y, -1, false); -***** error stk_gausscov_iso (param, x, y, -2); -***** test stk_gausscov_iso (param, x, y, -1); -***** error stk_gausscov_iso (param, x, y, 0); -***** test stk_gausscov_iso (param, x, y, 1); -***** test stk_gausscov_iso (param, x, y, 2); -***** error stk_gausscov_iso (param, x, y, 3); -***** error stk_gausscov_iso (param, x, y, nan); -***** error stk_gausscov_iso (param, x, y, inf); +***** error K = stk_materncov32_iso ([param; 1.234], x, y); +***** error stk_materncov32_iso (); +***** error stk_materncov32_iso (param); +***** error stk_materncov32_iso (param, x); +***** test stk_materncov32_iso (param, x, y); +***** test stk_materncov32_iso (param, x, y, -1); +***** test stk_materncov32_iso (param, x, y, -1, false); +***** error stk_materncov32_iso (param, x, y, -2); +***** test stk_materncov32_iso (param, x, y, -1); +***** error stk_materncov32_iso (param, x, y, 0); +***** test stk_materncov32_iso (param, x, y, 1); +***** test stk_materncov32_iso (param, x, y, 2); +***** error stk_materncov32_iso (param, x, y, 3); +***** error stk_materncov32_iso (param, x, y, nan); +***** error stk_materncov32_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); @@ -10191,13 +10847,13 @@ x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test - K1 = stk_gausscov_iso (param, x, y); - K2 = stk_gausscov_iso (param, x, y, -1); + K1 = stk_materncov32_iso (param, x, y); + K2 = stk_materncov32_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, - dK = stk_gausscov_iso (param, x, y, i); + dK = stk_materncov32_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test @@ -10205,74 +10861,18 @@ x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); - K1 = stk_gausscov_iso (param, x, y); - K2 = stk_gausscov_iso (param, x, y, -1, true); + K1 = stk_materncov32_iso (param, x, y); + K2 = stk_materncov32_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, - dK1 = stk_gausscov_iso (param, x, y, i); - dK2 = stk_gausscov_iso (param, x, y, i, true); + dK1 = stk_materncov32_iso (param, x, y, i); + dK2 = stk_materncov32_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped -[inst/covfcs/stk_materncov_iso.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov_iso.m -***** shared param, x, y - dim = 1; - param = log ([1.0; 1.5; 2.9]); - x = stk_sampling_randunif(5, dim); - y = stk_sampling_randunif(5, dim); -***** error K = stk_materncov_iso ([param; 1.234], x, y); -***** error stk_materncov_iso(); -***** error stk_materncov_iso(param); -***** error stk_materncov_iso(param, x); -***** test stk_materncov_iso(param, x, y); -***** test stk_materncov_iso(param, x, y, -1); -***** test stk_materncov_iso(param, x, y, -1, false); -***** error stk_materncov_iso(param, x, y, -2); -***** test stk_materncov_iso(param, x, y, -1); -***** error stk_materncov_iso(param, x, y, 0); -***** test stk_materncov_iso(param, x, y, 1); -***** test stk_materncov_iso(param, x, y, 2); -***** test stk_materncov_iso(param, x, y, 3); -***** error stk_materncov_iso(param, x, y, 4); -***** error stk_materncov_iso(param, x, y, nan); -***** error stk_materncov_iso(param, x, y, inf); -***** shared dim, param, x, y, nx, ny - dim = 3; - param = log ([1.0; 1.5; 2.9]); - nx = 4; ny = 10; - x = stk_sampling_randunif (nx, dim); - y = stk_sampling_randunif (ny, dim); -***** test - K1 = stk_materncov_iso (param, x, y); - K2 = stk_materncov_iso (param, x, y, -1); - assert (isequal (size (K1), [nx ny])); - assert (stk_isequal_tolabs (K1, K2)); -***** test - for i = 1:3, - dK = stk_materncov_iso (param, x, y, i); - assert (isequal (size (dK), [nx ny])); - end -***** test - n = 7; - x = stk_sampling_randunif(n, dim); - y = stk_sampling_randunif(n, dim); - - K1 = stk_materncov_iso(param, x, y); - K2 = stk_materncov_iso(param, x, y, -1, true); - assert(isequal(size(K1), [n n])); - assert(stk_isequal_tolabs(K2, diag(K1))); - - for i = 1:3, - dK1 = stk_materncov_iso(param, x, y, i); - dK2 = stk_materncov_iso(param, x, y, i, true); - assert(isequal(size(dK1), [n n])); - assert(stk_isequal_tolabs(dK2, diag(dK1))); - end -19 tests, 19 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov52_aniso.m] >>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov52_aniso.m ***** shared param, x, y @@ -10327,681 +10927,117 @@ assert (stk_isequal_tolabs (dK2, diag (dK1))); end 17 tests, 17 passed, 0 known failure, 0 skipped -[inst/covfcs/rbf/stk_rbf_exponential.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_exponential.m -***** shared h, diff - h = 1.0; diff = -1; -***** error stk_rbf_exponential (); -***** test stk_rbf_exponential (h); -***** test stk_rbf_exponential (h, diff); -***** test %% h = 0.0 => correlation = 1.0 - x = stk_rbf_exponential (0.0); - assert (stk_isequal_tolrel (x, 1.0, 1e-8)); -***** test %% check derivative numerically - h = [-1 -0.5 -0.1 0.1 0.5 1]; delta = 1e-9; - d1 = (stk_rbf_exponential (h + delta) - stk_rbf_exponential (h)) / delta; - d2 = stk_rbf_exponential (h, 1); - assert (stk_isequal_tolabs (d1, d2, 1e-4)); -***** test %% consistency with stk_rbf_matern: function values - for h = 0.1:0.1:2.0, - x = stk_rbf_matern (1/2, h); - y = stk_rbf_exponential (h); - assert (stk_isequal_tolrel (x, y, 1e-8)); - end -***** test %% consistency with stk_rbf_matern: derivatives - for h = 0.1:0.1:2.0, - x = stk_rbf_matern (1/2, h, 2); - y = stk_rbf_exponential (h, 1); - assert (stk_isequal_tolrel (x, y, 1e-8)); - end -***** assert (stk_rbf_exponential (inf) == 0) -8 tests, 8 passed, 0 known failure, 0 skipped -[inst/covfcs/rbf/stk_rbf_gauss.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_gauss.m -***** shared h, diff - h = 1.0; diff = -1; -***** error stk_rbf_gauss (); -***** test stk_rbf_gauss (h); -***** test stk_rbf_gauss (h, diff); -***** test % h = 0.0 => correlation = 1.0 - x = stk_rbf_gauss (0.0); - assert (stk_isequal_tolrel (x, 1.0, 1e-8)); -4 tests, 4 passed, 0 known failure, 0 skipped -[inst/covfcs/rbf/stk_rbf_matern.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_matern.m -***** shared nu, h, diff - nu = 1.0; h = 1.0; diff = -1; -***** error stk_rbf_matern (); -***** error stk_rbf_matern (nu); -***** test stk_rbf_matern (nu, h); -***** test stk_rbf_matern (nu, h, diff); -***** test %% h = 0.0 => correlation = 1.0 - for nu = 0.1:0.2:5.0, - x = stk_rbf_matern (nu, 0.0); - assert (stk_isequal_tolrel (x, 1.0, 1e-8)); - end -5 tests, 5 passed, 0 known failure, 0 skipped -[inst/covfcs/rbf/stk_rbf_matern32.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_matern32.m -***** shared h, diff - h = 1.0; diff = -1; -***** error stk_rbf_matern32 (); -***** test stk_rbf_matern32 (h); -***** test stk_rbf_matern32 (h, diff); -***** test %% h = 0.0 => correlation = 1.0 - x = stk_rbf_matern32 (0.0); - assert (stk_isequal_tolrel (x, 1.0, 1e-8)); -***** test %% consistency with stk_rbf_matern: function values - for h = 0.1:0.1:2.0, - x = stk_rbf_matern (3/2, h); - y = stk_rbf_matern32 (h); - assert (stk_isequal_tolrel (x, y, 1e-8)); - end -***** test %% consistency with stk_rbf_matern: derivatives - for h = 0.1:0.1:2.0, - x = stk_rbf_matern (3/2, h, 2); - y = stk_rbf_matern32 (h, 1); - assert (stk_isequal_tolrel (x, y, 1e-8)); - end -***** assert (stk_rbf_matern32 (inf) == 0) -7 tests, 7 passed, 0 known failure, 0 skipped -[inst/covfcs/rbf/stk_rbf_matern52.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_matern52.m -***** shared h, diff - h = 1.0; diff = -1; -***** error stk_rbf_matern52 (); -***** test stk_rbf_matern52 (h); -***** test stk_rbf_matern52 (h, diff); -***** test %% h = 0.0 => correlation = 1.0 - x = stk_rbf_matern52 (0.0); - assert (stk_isequal_tolrel (x, 1.0, 1e-8)); -***** test %% consistency with stk_rbf_matern: function values - for h = 0.1:0.1:2.0, - x = stk_rbf_matern (5/2, h); - y = stk_rbf_matern52 (h); - assert (stk_isequal_tolrel (x, y, 1e-8)); +[inst/covfcs/stk_sphcov_iso.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_sphcov_iso.m +***** shared param, x, y + dim = 1; + param = log ([1.0; 2.5]); + x = stk_sampling_randunif (5, dim); + y = stk_sampling_randunif (5, dim); +***** error K = stk_sphcov_iso ([param; 1.234], x, y); +***** error stk_sphcov_iso (); +***** error stk_sphcov_iso (param); +***** error stk_sphcov_iso (param, x); +***** test stk_sphcov_iso (param, x, y); +***** test stk_sphcov_iso (param, x, y, -1); +***** test stk_sphcov_iso (param, x, y, -1, false); +***** error stk_sphcov_iso (param, x, y, -2); +***** test stk_sphcov_iso (param, x, y, -1); +***** error stk_sphcov_iso (param, x, y, 0); +***** test stk_sphcov_iso (param, x, y, 1); +***** test stk_sphcov_iso (param, x, y, 2); +***** error stk_sphcov_iso (param, x, y, 3); +***** error stk_sphcov_iso (param, x, y, nan); +***** error stk_sphcov_iso (param, x, y, inf); +***** shared dim, param, x, y, nx, ny + dim = 3; + param = log ([1.0; 2.5]); + nx = 4; ny = 10; + x = stk_sampling_randunif (nx, dim); + y = stk_sampling_randunif (ny, dim); +***** test + K1 = stk_sphcov_iso (param, x, y); + K2 = stk_sphcov_iso (param, x, y, -1); + assert (isequal (size (K1), [nx ny])); + assert (stk_isequal_tolabs (K1, K2)); +***** test + for i = 1:2, + dK = stk_sphcov_iso (param, x, y, i); + assert (isequal (size (dK), [nx ny])); end -***** test %% consistency with stk_rbf_matern: derivatives - for h = 0.1:0.1:2.0, - x = stk_rbf_matern (5/2, h, 2); - y = stk_rbf_matern52 (h, 1); - assert (stk_isequal_tolrel (x, y, 1e-8)); +***** test + n = 7; + x = stk_sampling_randunif (n, dim); + y = stk_sampling_randunif (n, dim); + + K1 = stk_sphcov_iso (param, x, y); + K2 = stk_sphcov_iso (param, x, y, -1, true); + assert (isequal (size (K1), [n n])); + assert (stk_isequal_tolabs (K2, diag (K1))); + + for i = 1:2, + dK1 = stk_sphcov_iso (param, x, y, i); + dK2 = stk_sphcov_iso (param, x, y, i, true); + assert (isequal (size (dK1), [n n])); + assert (stk_isequal_tolabs (dK2, diag (dK1))); end -***** assert (stk_rbf_matern52 (inf) == 0) -7 tests, 7 passed, 0 known failure, 0 skipped -[inst/covfcs/rbf/stk_rbf_spherical.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/rbf/stk_rbf_spherical.m -***** shared h, diff - h = 1.0; diff = -1; -***** error stk_rbf_spherical (); -***** test stk_rbf_spherical (h); -***** test stk_rbf_spherical (h, diff); -***** test %% h = 0.0 => correlation = 1.0 - x = stk_rbf_spherical (0.0); - assert (stk_isequal_tolrel (x, 1.0, 1e-8)); -***** test %% check derivative numerically - h = [-1 -0.5 -0.1 0.1 0.5 1]; delta = 1e-9; - d1 = (stk_rbf_spherical (h + delta) - stk_rbf_spherical (h)) / delta; - d2 = stk_rbf_spherical (h, 1); - assert (stk_isequal_tolabs (d1, d2, 1e-4)); -***** assert (stk_rbf_spherical (inf) == 0) -6 tests, 6 passed, 0 known failure, 0 skipped -[inst/covfcs/stk_materncov_aniso.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov_aniso.m +18 tests, 18 passed, 0 known failure, 0 skipped +[inst/covfcs/stk_materncov_iso.m] +>>>>> /build/reproducible-path/octave-stk-2.8.1/inst/covfcs/stk_materncov_iso.m ***** shared param, x, y dim = 1; - param = log ([1.0; 1.5; 2.8]); + param = log ([1.0; 1.5; 2.9]); x = stk_sampling_randunif(5, dim); y = stk_sampling_randunif(5, dim); -***** error stk_materncov_aniso(); -***** error stk_materncov_aniso(param); -***** error stk_materncov_aniso(param, x); -***** test stk_materncov_aniso(param, x, y); -***** test stk_materncov_aniso(param, x, y, -1); -***** test stk_materncov_aniso(param, x, y, -1, false); -***** error stk_materncov_aniso(param, x, y, -2); -***** test stk_materncov_aniso(param, x, y, -1); -***** error stk_materncov_aniso(param, x, y, 0); -***** test stk_materncov_aniso(param, x, y, 1); -***** test stk_materncov_aniso(param, x, y, 2); -***** test stk_materncov_aniso(param, x, y, 3); -***** error stk_materncov_aniso(param, x, y, 4); -***** error stk_materncov_aniso(param, x, y, nan); -***** error stk_materncov_aniso(param, x, y, inf); +***** error K = stk_materncov_iso ([param; 1.234], x, y); +***** error stk_materncov_iso(); +***** error stk_materncov_iso(param); +***** error stk_materncov_iso(param, x); +***** test stk_materncov_iso(param, x, y); +***** test stk_materncov_iso(param, x, y, -1); +***** test stk_materncov_iso(param, x, y, -1, false); +***** error stk_materncov_iso(param, x, y, -2); +***** test stk_materncov_iso(param, x, y, -1); +***** error stk_materncov_iso(param, x, y, 0); +***** test stk_materncov_iso(param, x, y, 1); +***** test stk_materncov_iso(param, x, y, 2); +***** test stk_materncov_iso(param, x, y, 3); +***** error stk_materncov_iso(param, x, y, 4); +***** error stk_materncov_iso(param, x, y, nan); +***** error stk_materncov_iso(param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; - param = log ([1.0; 1.5; 2.8; 2.7; 2.9]); - nx = 4; ny = 10; - x = stk_sampling_randunif(nx, dim); - y = stk_sampling_randunif(ny, dim); + param = log ([1.0; 1.5; 2.9]); + nx = 4; ny = 10; + x = stk_sampling_randunif (nx, dim); + y = stk_sampling_randunif (ny, dim); ***** test - K1 = stk_materncov_aniso(param, x, y); - K2 = stk_materncov_aniso(param, x, y, -1); - assert(isequal(size(K1), [nx ny])); - assert(stk_isequal_tolabs(K1, K2)); + K1 = stk_materncov_iso (param, x, y); + K2 = stk_materncov_iso (param, x, y, -1); + assert (isequal (size (K1), [nx ny])); + assert (stk_isequal_tolabs (K1, K2)); ***** test - for i = 1:(dim+2), - dK = stk_materncov_aniso(param, x, y, i); - assert(isequal(size(dK), [nx ny])); + for i = 1:3, + dK = stk_materncov_iso (param, x, y, i); + assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif(n, dim); y = stk_sampling_randunif(n, dim); - K1 = stk_materncov_aniso(param, x, y); - K2 = stk_materncov_aniso(param, x, y, -1, true); + K1 = stk_materncov_iso(param, x, y); + K2 = stk_materncov_iso(param, x, y, -1, true); assert(isequal(size(K1), [n n])); assert(stk_isequal_tolabs(K2, diag(K1))); - for i = 1:(dim+2), - dK1 = stk_materncov_aniso(param, x, y, i); - dK2 = stk_materncov_aniso(param, x, y, i, true); + for i = 1:3, + dK1 = stk_materncov_iso(param, x, y, i); + dK2 = stk_materncov_iso(param, x, y, i, true); assert(isequal(size(dK1), [n n])); assert(stk_isequal_tolabs(dK2, diag(dK1))); end -18 tests, 18 passed, 0 known failure, 0 skipped -[inst/lm/@stk_lm_constant/stk_lm_constant.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_constant/stk_lm_constant.m -***** test stk_test_class ('stk_lm_constant') -1 test, 1 passed, 0 known failure, 0 skipped -[inst/lm/@stk_lm_constant/feval.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_constant/feval.m -***** test - n = 15; d = 4; - x = stk_sampling_randunif (n, d); - P = feval (stk_lm_constant (), x); - assert (isequal (size (P), [n, 1])); -1 test, 1 passed, 0 known failure, 0 skipped -[inst/lm/@stk_lm_quadratic/stk_lm_quadratic.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_quadratic/stk_lm_quadratic.m -***** test stk_test_class ('stk_lm_quadratic') -1 test, 1 passed, 0 known failure, 0 skipped -[inst/lm/@stk_lm_quadratic/feval.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_quadratic/feval.m -***** test - n = 15; d = 4; - x = stk_sampling_randunif (n, d); - P = feval (stk_lm_quadratic (), x); - assert (isequal (size (P), [n, 1 + d * (d + 3) / 2])); -1 test, 1 passed, 0 known failure, 0 skipped -[inst/lm/stk_lm_polynomial.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/stk_lm_polynomial.m -***** error lm = stk_lm_polynomial (); -***** test - lm = stk_lm_polynomial (-1); - assert (isa (lm, 'stk_lm_null')); -***** test - lm = stk_lm_polynomial (0); - assert (isa (lm, 'stk_lm_constant')); -***** test - lm = stk_lm_polynomial (1); - assert (isa (lm, 'stk_lm_affine')); -***** test - lm = stk_lm_polynomial (2); - assert (isa (lm, 'stk_lm_quadratic')); -***** test - lm = stk_lm_polynomial (3); - assert (isa (lm, 'stk_lm_cubic')); -6 tests, 6 passed, 0 known failure, 0 skipped -[inst/lm/@stk_lm_matrix/stk_lm_matrix.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_matrix/stk_lm_matrix.m -***** test stk_test_class ('stk_lm_matrix') -***** test %%% dim 1 - data = rand (10, 1); idx = 3:7; - lm = stk_lm_matrix (data); - assert (isa (lm, 'stk_lm_matrix')); - assert (isequal (data(idx, :), feval (lm, idx))); -***** test %%% dim 3 - data = rand (10, 3); idx = 3:7; - lm = stk_lm_matrix (data); - assert (isa (lm, 'stk_lm_matrix')); - assert (isequal (data(idx, :), feval (lm, idx))); -3 tests, 3 passed, 0 known failure, 0 skipped -[inst/lm/@stk_lm_cubic/stk_lm_cubic.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_cubic/stk_lm_cubic.m -***** test stk_test_class ('stk_lm_cubic') -1 test, 1 passed, 0 known failure, 0 skipped -[inst/lm/@stk_lm_cubic/feval.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_cubic/feval.m -***** test - n = 15; d = 4; - x = stk_sampling_randunif (n, d); - P = feval (stk_lm_cubic (), x); - assert (isequal (size (P), [n, 1 + d * (11 + d * (6 + d)) / 6])) -1 test, 1 passed, 0 known failure, 0 skipped -[inst/lm/@stk_lm_affine/stk_lm_affine.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_affine/stk_lm_affine.m -***** test stk_test_class ('stk_lm_affine') -1 test, 1 passed, 0 known failure, 0 skipped -[inst/lm/@stk_lm_affine/feval.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_affine/feval.m -***** test - n = 15; d = 4; - x = stk_sampling_randunif (n, d); - P = feval (stk_lm_affine (), x); - assert (isequal (size (P), [n, d + 1])); -1 test, 1 passed, 0 known failure, 0 skipped -[inst/lm/@stk_lm_null/stk_lm_null.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_null/stk_lm_null.m -***** test stk_test_class ('stk_lm_null') -1 test, 1 passed, 0 known failure, 0 skipped -[inst/lm/@stk_lm_null/feval.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/lm/@stk_lm_null/feval.m -***** test - n = 15; d = 4; - x = stk_sampling_randunif (n, d); - P = feval (stk_lm_null (), x); - assert (isequal (size (P), [n, 0])); -1 test, 1 passed, 0 known failure, 0 skipped -[inst/param/estim/stk_param_init.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_init.m -***** test - xi = (1:10)'; zi = sin (xi); - model = stk_model (@stk_materncov52_iso); - model.param = stk_param_init (model, xi, zi, [1; 10], false); - xt = (1:9)' + 0.5; zt = sin (xt); - zp = stk_predict (model, xi, zi, xt); - assert (sum ((zt - zp.mean) .^ 2) < 1e-3); -***** test % check equivariance of parameter estimates - f = @(x) sin (x); - xi = stk_sampling_regulargrid (10, 1); zi = stk_feval (f, xi); - shift = 1000; scale = 0.01; - model = stk_model (@stk_materncov32_iso); - p1 = stk_param_init (model, xi, zi); - p2 = stk_param_init (model, xi, shift + scale .* zi); - assert (stk_isequal_tolabs (p2(1), p1(1) + log (scale^2), 1e-10)) - assert (stk_isequal_tolabs (p2(2), p1(2), eps)) -***** shared xi, zi, BOX, xt, zt - - f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); - DIM = 1; % Dimension of the factor space - BOX = [-1.0; 1.0]; % Factor space - - xi = stk_sampling_regulargrid (20, DIM, BOX); % Evaluation points - zi = stk_feval (f, xi); % Evaluation results - - NT = 400; % Number of points in the grid - xt = stk_sampling_regulargrid (NT, DIM, BOX); % Generate a regular grid - zt = stk_feval (f, xt); % Values of f on the grid -***** xtest % This test is known to fail in Debian buster i386 - % because of a known problem in Octave's sqp/qp functions - % http://savannah.gnu.org/bugs/?38875 - model = stk_model (@stk_materncov_iso); - [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); - model.param = stk_param_estim (model, xi, zi, param0); - zp = stk_predict (model, xi, zi, xt); - assert (max ((zp.mean - zt) .^ 2) < 1e-3) -warning: sqp: QP subproblem is non-convex and unbounded -warning: called from - sqp at line 441 column 9 - stk_minimize_boxconstrained at line 57 column 18 - stk_param_estim_optim at line 70 column 23 - stk_param_estim at line 139 column 15 - __test__ at line 7 column 14 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 1862 column 31 - -***** test - model = stk_model (@stk_materncov_aniso); - [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); - model.param = stk_param_estim (model, xi, zi, param0); - zp = stk_predict (model, xi, zi, xt); - assert (max ((zp.mean - zt) .^ 2) < 1e-3) -warning: sqp: QP subproblem is non-convex and unbounded -warning: called from - sqp at line 441 column 9 - stk_minimize_boxconstrained at line 57 column 18 - stk_param_estim_optim at line 70 column 23 - stk_param_estim at line 139 column 15 - __test__ at line 5 column 14 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 1862 column 31 - -***** test - model = stk_model (@stk_materncov32_iso); - [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); - model.param = stk_param_estim (model, xi, zi, param0); - zp = stk_predict (model, xi, zi, xt); - assert (max ((zp.mean - zt) .^ 2) < 1e-3) -***** test - model = stk_model (@stk_materncov32_aniso); - [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); - model.param = stk_param_estim (model, xi, zi, param0); - zp = stk_predict (model, xi, zi, xt); - assert (max ((zp.mean - zt) .^ 2) < 1e-3) -***** test - model = stk_model (@stk_materncov52_iso); - [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); - model.param = stk_param_estim (model, xi, zi, param0); - zp = stk_predict (model, xi, zi, xt); - assert (max ((zp.mean - zt) .^ 2) < 1e-3) -***** test - model = stk_model (@stk_materncov52_aniso); - [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); - model.param = stk_param_estim (model, xi, zi, param0); - zp = stk_predict (model, xi, zi, xt); - assert (max ((zp.mean - zt) .^ 2) < 1e-3) -***** test - model = stk_model (@stk_gausscov_iso); - [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); - model.param = stk_param_estim (model, xi, zi, param0); - zp = stk_predict (model, xi, zi, xt); - assert (max ((zp.mean - zt) .^ 2) < 1e-3) -warning: matrix singular to machine precision, rcond = 1.21281e-17 -warning: called from - linsolve at line 113 column 7 - linsolve at line 42 column 3 - stk_set_righthandside at line 44 column 16 - stk_make_kreq at line 35 column 6 - stk_predict_ at line 112 column 10 - stk_predict at line 104 column 16 - __test__ at line 6 column 5 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 1862 column 31 - -***** test - model = stk_model (@stk_gausscov_aniso); - [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); - model.param = stk_param_estim (model, xi, zi, param0); - zp = stk_predict (model, xi, zi, xt); - assert (max ((zp.mean - zt) .^ 2) < 1e-3) -warning: matrix singular to machine precision, rcond = 3.93346e-18 -warning: called from - linsolve at line 113 column 7 - linsolve at line 42 column 3 - stk_set_righthandside at line 44 column 16 - stk_make_kreq at line 35 column 6 - stk_predict_ at line 112 column 10 - stk_predict at line 104 column 16 - __test__ at line 6 column 5 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 1862 column 31 - -***** test % Homoscedastic case / do_estim_lnv = true - model = stk_model (@stk_materncov32_iso); - [model.param, model.lognoisevariance] = ... - stk_param_init (model, xi, zi, BOX, true); - [model.param, model.lognoisevariance] = ... - stk_param_estim (model, xi, zi); - zp = stk_predict (model, xi, zi, xt); - assert (model.lognoisevariance > -inf); - assert (max ((zp.mean - zt) .^ 2) < 1e-3) -warning: This way of setting do_estim_lnv is deprecated -warning: called from - stk_param_init>stk_param_init_ at line 250 column 5 - stk_param_init at line 87 column 18 - __test__ at line 4 column 40 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 1862 column 31 - -***** error % Homoscedastic case / do_estim_lnv = false / model.lnv = nan - model = stk_model (@stk_materncov32_iso); - model.lognoisevariance = nan; % not compatible with do_estim_lnv == false - [model.param, model.lognoisevariance] = ... - stk_param_init (model, xi, zi, BOX, false); -***** test % Heteroscedastic case / known noise variance - model = stk_model (@stk_materncov32_iso); - lnv = log ((100 + rand (size (zi))) / 1e6); - model.lognoisevariance = lnv; % here we say that lnv is known - [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); - model.param = stk_param_estim (model, xi, zi, param0); - zp = stk_predict (model, xi, zi, xt); - assert (isequal (model.lognoisevariance, lnv)); % should be untouched - assert (max ((zp.mean - zt) .^ 2) < 1e-3) -***** shared model, x, z - model = stk_model (@stk_materncov52_iso); - n = 10; x = stk_sampling_regulargrid (n, 1, [0; 1]); z = ones (size (x)); -***** test % Constant response, noiseless model - [param, lnv] = stk_param_init (model, x, z); - assert ((all (isfinite (param))) && (length (param) == 2)); - assert (isequal (lnv, -inf)); -warning: Parameter estimation is impossible with constant-response data. -warning: called from - stk_param_init>paraminit_ at line 351 column 5 - stk_param_init>stk_param_init_ at line 323 column 14 - stk_param_init at line 87 column 18 - __test__ at line 3 column 15 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 1862 column 31 - -***** test % Constant response, noisy model - model.lognoisevariance = nan; - [param, lnv] = stk_param_init (model, x, z); - assert ((all (isfinite (param))) && (length (param) == 2)); - assert (isscalar (lnv) && isfinite (lnv)); -warning: Parameter estimation is impossible with constant-response data. -warning: called from - stk_param_init>paraminit_ at line 351 column 5 - stk_param_init>stk_param_init_ at line 323 column 14 - stk_param_init at line 87 column 18 - __test__ at line 4 column 15 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 1862 column 31 - -15 tests, 15 passed, 0 known failure, 0 skipped -[inst/param/estim/stk_param_gls.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_gls.m -***** shared xi, zi, model, beta, sigma2 - xi = (1:10)'; zi = sin (xi); - model = stk_model (@stk_materncov52_iso); - model.param = [0.0 0.0]; -***** test - model.lm = stk_lm_constant (); - [beta, sigma2] = stk_param_gls (model, xi, zi); -***** assert (stk_isequal_tolabs (beta, 0.1346064, 1e-6)) -***** assert (stk_isequal_tolabs (sigma2, 0.4295288, 1e-6)) -***** test - model.lm = stk_lm_affine (); - [beta, sigma2] = stk_param_gls (model, xi, zi); -***** assert (stk_isequal_tolabs (beta, [0.4728342; -0.0614960], 1e-6)) -***** assert (stk_isequal_tolabs (sigma2, 0.4559431, 1e-6)) -***** test - model.lm = stk_lm_null (); - [beta, sigma2] = stk_param_gls (model, xi, zi); -***** assert (isequal (beta, zeros (0, 1))) -***** assert (stk_isequal_tolabs (sigma2, 0.3977993, 1e-6)) -9 tests, 9 passed, 0 known failure, 0 skipped -[inst/param/estim/stk_param_relik.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_relik.m -***** shared f, xi, zi, NI, model, C, dC1, dC2 - - f = @(x)(- (0.8 * x(:, 1) + sin (5 * x(:, 2) + 1) ... - + 0.1 * sin (10 * x(:, 3)))); - DIM = 3; NI = 20; box = repmat ([-1.0; 1.0], 1, DIM); - xi = stk_sampling_halton_rr2 (NI, DIM, box); - zi = stk_feval (f, xi); - - SIGMA2 = 1.0; % variance parameter - NU = 4.0; % regularity parameter - RHO1 = 0.4; % scale (range) parameter - - model = stk_model (@stk_materncov_aniso); - model.param = log ([SIGMA2; NU; 1/RHO1 * ones(DIM, 1)]); -***** error [C, dC1, dC2] = stk_param_relik (); -***** error [C, dC1, dC2] = stk_param_relik (model); -***** error [C, dC1, dC2] = stk_param_relik (model, xi); -***** test [C, dC1, dC2] = stk_param_relik (model, xi, zi); -***** test - TOL_REL = 0.01; - assert (stk_isequal_tolrel (C, 21.6, TOL_REL)); - assert (stk_isequal_tolrel (dC1, [4.387 -0.1803 0.7917 0.1392 2.580]', TOL_REL)); - assert (isequal (dC2, [])); -***** shared xi, zi, model, TOL_REL - xi = [-1 -.6 -.2 .2 .6 1]'; - zi = [-0.11 1.30 0.23 -1.14 0.36 -0.37]'; - model = stk_model (@stk_materncov_iso); - model.param = log ([1.0 4.0 2.5]); - model.lognoisevariance = log (0.01); - TOL_REL = 0.01; -***** test % Another simple 1D check - [C, dC1, dC2] = stk_param_relik (model, xi, zi); - assert (stk_isequal_tolrel (C, 6.327, TOL_REL)); - assert (stk_isequal_tolrel (dC1, [0.268 0.0149 -0.636]', TOL_REL)); - assert (stk_isequal_tolrel (dC2, -1.581e-04, TOL_REL)); -***** test % Same 1D test with simple kriging - model.lm = stk_lm_null; - [C, dC1, dC2] = stk_param_relik (model, xi, zi); - assert (stk_isequal_tolrel (C, 7.475, TOL_REL)); - assert (stk_isequal_tolrel (dC1, [0.765 0.0238 -1.019]', TOL_REL)); - assert (stk_isequal_tolrel (dC2, 3.0517e-03, TOL_REL)); -***** test % Check the gradient on a 2D test case - - f = @stk_testfun_braninhoo; - DIM = 2; - BOX = [[-5; 10], [0; 15]]; - NI = 20; - TOL_REL = 1e-2; - DELTA = 1e-6; - - model = stk_model (@stk_materncov52_iso, DIM); - model.param = [1 1]; - - xi = stk_sampling_halton_rr2 (NI, DIM, BOX); - zi = stk_feval (f, xi); - - for range = [0.3 2 10] - model.param(2) = - log (range); - for diff = 1:2 - assert (stk_test_critgrad ... - (@stk_param_relik, model, xi, zi, diff, 1e-6)); - end - end -8 tests, 8 passed, 0 known failure, 0 skipped -[inst/param/estim/stk_param_init_lnv.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_init_lnv.m -***** test - f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); - ni = 20; - xi = (linspace (-1, 1, ni))' + 0.2 * (randn (ni, 1)); - zi = stk_feval (f, xi); - - model = stk_model (@stk_materncov_iso); - model.param = log ([1; 5/2; 1/0.4]); - model.lognoisevariance = nan; - lnv = stk_param_init_lnv (model, xi, zi); - - assert ((isscalar (lnv)) && (lnv > -30) && (lnv < 30)); -1 test, 1 passed, 0 known failure, 0 skipped -[inst/param/estim/stk_param_estim.m] ->>>>> /build/reproducible-path/octave-stk-2.8.1/inst/param/estim/stk_param_estim.m -***** shared f, xi, zi, NI, param0, param1, model - - f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x)) ); - DIM = 1; NI = 20; box = [-1.0; 1.0]; - xi = stk_sampling_regulargrid (NI, DIM, box); - - SIGMA2 = 1.0; % variance parameter - NU = 4.0; % regularity parameter - RHO1 = 0.4; % scale (range) parameter - param0 = log ([SIGMA2; NU; 1/RHO1]); - - model = stk_model (@stk_materncov_iso); -***** test % noiseless - zi = stk_feval (f, xi); - param1 = stk_param_estim (model, xi, zi, param0); - assert (isequal (size (param1), size (param0))) -warning: sqp: QP subproblem is non-convex and unbounded -warning: called from - sqp at line 441 column 9 - stk_minimize_boxconstrained at line 57 column 18 - stk_param_estim_optim at line 70 column 23 - stk_param_estim at line 139 column 15 - __test__ at line 4 column 9 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 1894 column 31 - -***** test % same thing, with empty lnv0 (ok) - param2 = stk_param_estim (model, xi, zi, param0, []); - assert (stk_isequal_tolrel (param2, param1, 1e-2)) -warning: sqp: QP subproblem is non-convex and unbounded -warning: called from - sqp at line 441 column 9 - stk_minimize_boxconstrained at line 57 column 18 - stk_param_estim_optim at line 70 column 23 - stk_param_estim at line 139 column 15 - __test__ at line 3 column 9 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 1894 column 31 - -***** error % same thing, with lnv0 == NaN (not ok as a starting point) - param2 = stk_param_estim (model, xi, zi, param0, nan); -***** error % same thing, with lnv0 == -inf (not ok as a starting point) - param2 = stk_param_estim (model, xi, zi, param0, -inf); -***** test % same thing, with explicit value for 'criterion' - param2 = stk_param_estim (model, xi, zi, param0, [], @stk_param_relik); - assert (stk_isequal_tolrel (param1, param2, 1e-2)) -warning: sqp: QP subproblem is non-convex and unbounded -warning: called from - sqp at line 441 column 9 - stk_minimize_boxconstrained at line 57 column 18 - stk_param_estim_optim at line 70 column 23 - stk_param_estim at line 139 column 15 - __test__ at line 3 column 9 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 1894 column 31 - -***** test % noiseless - zi = stk_feval (f, xi); - param1 = stk_param_estim (model, xi, zi, param0); - param2 = stk_param_estim (model, xi, zi, param0, [], @stk_param_relik); - % We cannot assume a DETERMINISTIC optimization algorithm - % (for some reason, Octave's sqp is not exactly deterministic) - assert (stk_isequal_tolrel (param1, param2, 1e-2)) -warning: sqp: QP subproblem is non-convex and unbounded -warning: called from - sqp at line 441 column 9 - stk_minimize_boxconstrained at line 57 column 18 - stk_param_estim_optim at line 70 column 23 - stk_param_estim at line 139 column 15 - __test__ at line 4 column 9 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 1894 column 31 - -warning: sqp: QP subproblem is non-convex and unbounded -warning: called from - sqp at line 441 column 9 - stk_minimize_boxconstrained at line 57 column 18 - stk_param_estim_optim at line 70 column 23 - stk_param_estim at line 139 column 15 - __test__ at line 5 column 9 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 1894 column 31 - -***** test % noisy - NOISE_STD_TRUE = 0.1; - NOISE_STD_INIT = 1e-5; - zi = zi + NOISE_STD_TRUE * randn(NI, 1); - model.lognoisevariance = 2 * log(NOISE_STD_INIT); - [param, lnv] = stk_param_estim ... - (model, xi, zi, param0, model.lognoisevariance); -***** error param = stk_param_estim () -***** error param = stk_param_estim (model); -***** error param = stk_param_estim (model, xi); -***** test % Constant response - model = stk_model (@stk_materncov52_iso); - n = 10; x = stk_sampling_regulargrid (n, 1, [0; 1]); z = ones (size (x)); - param = stk_param_estim (model, x, z); - assert ((all (isfinite (param))) && (length (param) == 2)); -warning: Constant-response data: the output of stk_param_estim is likely to be unreliable. -warning: called from - stk_param_estim at line 95 column 5 - __test__ at line 5 column 8 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 1894 column 31 - -warning: Parameter estimation is impossible with constant-response data. -warning: called from - stk_param_init>paraminit_ at line 351 column 5 - stk_param_init>stk_param_init_ at line 323 column 14 - stk_param_init at line 87 column 18 - stk_param_estim>provide_starting_point at line 205 column 20 - stk_param_estim at line 110 column 30 - __test__ at line 5 column 8 - test at line 682 column 11 - /tmp/tmp.iRzA5NPJlN at line 1894 column 31 - -11 tests, 11 passed, 0 known failure, 0 skipped +19 tests, 19 passed, 0 known failure, 0 skipped Checking C++ files ... Done running the unit tests. Summary: 1558 tests, 1558 passed, 0 known failures, 0 skipped @@ -11036,12 +11072,14 @@ dpkg-buildpackage: info: binary-only upload (no source included) dpkg-genchanges: info: not including original source code in upload I: copying local configuration +I: user script /srv/workspace/pbuilder/3994332/tmp/hooks/B01_cleanup starting +I: user script /srv/workspace/pbuilder/3994332/tmp/hooks/B01_cleanup finished I: unmounting dev/ptmx filesystem I: unmounting dev/pts filesystem I: unmounting dev/shm filesystem I: unmounting proc filesystem I: unmounting sys filesystem I: cleaning the build env -I: removing directory /srv/workspace/pbuilder/270968 and its subdirectories -I: Current time: Mon Nov 25 13:09:15 -12 2024 -I: pbuilder-time-stamp: 1732583355 +I: removing directory /srv/workspace/pbuilder/3994332 and its subdirectories +I: Current time: Mon Dec 29 21:36:11 +14 2025 +I: pbuilder-time-stamp: 1766993771 Compressing the 2nd log... /var/lib/jenkins/userContent/reproducible/debian/logdiffs/trixie/amd64/octave-stk_2.8.1-3.diff: 87.2% -- replaced with /var/lib/jenkins/userContent/reproducible/debian/logdiffs/trixie/amd64/octave-stk_2.8.1-3.diff.gz b2/build.log: 85.7% -- replaced with stdout Compressing the 1st log... b1/build.log: 85.7% -- replaced with stdout Tue Nov 26 01:13:15 UTC 2024 I: diffoscope 283 will be used to compare the two builds: ++ date -u +%s + DIFFOSCOPE_STAMP=/var/log/reproducible-builds/diffoscope_stamp_octave-stk_trixie_amd64_1732583595 + touch /var/log/reproducible-builds/diffoscope_stamp_octave-stk_trixie_amd64_1732583595 + RESULT=0 + systemd-run '--description=diffoscope on octave-stk/2.8.1-3 in trixie/amd64' --slice=rb-build-diffoscope.slice -u rb-diffoscope-amd64_35-35800 '--property=SuccessExitStatus=1 124' --user --send-sighup --pipe --wait -E TMPDIR timeout 155m nice schroot --directory /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7 --run-session -c jenkins-reproducible-trixie-diffoscope-11fcaac6-c1d5-4fa0-8ec5-3d45b17b41af -- sh -c 'export TMPDIR=/srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/dbd-tmp-x32OzBR ; timeout 150m diffoscope --timeout 7200 --html /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/octave-stk_2.8.1-3.diffoscope.html --text /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/octave-stk_2.8.1-3.diffoscope.txt --json /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/octave-stk_2.8.1-3.diffoscope.json --profile=- /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/b1/octave-stk_2.8.1-3_amd64.changes /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/b2/octave-stk_2.8.1-3_amd64.changes' + false + set +x Running as unit: rb-diffoscope-amd64_35-35800.service # Profiling output for: /usr/bin/diffoscope --timeout 7200 --html /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/octave-stk_2.8.1-3.diffoscope.html --text /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/octave-stk_2.8.1-3.diffoscope.txt --json /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/octave-stk_2.8.1-3.diffoscope.json --profile=- /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/b1/octave-stk_2.8.1-3_amd64.changes /srv/reproducible-results/rbuild-debian/r-b-build.dFJg6OC7/b2/octave-stk_2.8.1-3_amd64.changes ## command (total time: 0.000s) 0.000s 1 call cmp (internal) ## has_same_content_as (total time: 0.000s) 0.000s 1 call abc.DotChangesFile ## main (total time: 0.349s) 0.349s 2 calls outputs 0.000s 1 call cleanup ## recognizes (total time: 0.018s) 0.018s 12 calls diffoscope.comparators.binary.FilesystemFile ## specialize (total time: 0.000s) 0.000s 1 call specialize Finished with result: success Main processes terminated with: code=exited/status=0 Service runtime: 707ms CPU time consumed: 705ms _ _ _ ___ ___| |_ __ ___ _____ ___| |_| | __ / _ \ / __| __/ _` \ \ / / _ \_____/ __| __| |/ / | (_) | (__| || (_| |\ V / __/_____\__ \ |_| < \___/ \___|\__\__,_| \_/ \___| |___/\__|_|\_\ Tue Nov 26 01:50:13 UTC 2024 I: diffoscope 283 found no differences in the changes files, and a .buildinfo file also exists. Tue Nov 26 01:50:13 UTC 2024 I: octave-stk from trixie built successfully and reproducibly on amd64. INSERT 0 1 INSERT 0 1 DELETE 1 [2024-11-26 01:50:14] INFO: Starting at 2024-11-26 01:50:14.874633 [2024-11-26 01:50:15] INFO: Generating the pages of 1 package(s) [2024-11-26 01:50:15] CRITICAL: https://tests.reproducible-builds.org/debian/trixie/amd64/octave-stk didn't produce a buildlog, even though it has been built. [2024-11-26 01:50:16] INFO: Finished at 2024-11-26 01:50:16.038205, took: 0:00:01.163580 Tue Nov 26 01:50:16 UTC 2024 - successfully updated the database and updated https://tests.reproducible-builds.org/debian/rb-pkg/trixie/amd64/octave-stk.html Tue Nov 26 01:50:16 UTC 2024 I: Submitting .buildinfo files to external archives: Tue Nov 26 01:50:16 UTC 2024 I: Submitting 24K b1/octave-stk_2.8.1-3_amd64.buildinfo.asc https://buildinfo.debian.net/ea0fdeb9701bd0e431696bd1996f2df2d49935e9/octave-stk_2.8.1-3_amd64 Tue Nov 26 01:50:32 UTC 2024 I: Submitting 24K b2/octave-stk_2.8.1-3_amd64.buildinfo.asc https://buildinfo.debian.net/f053e0a655753b19558e3f6423ad00656770c4c3/octave-stk_2.8.1-3_amd64 Tue Nov 26 01:50:54 UTC 2024 I: Done submitting .buildinfo files to http://buildinfo.debian.net/api/submit. Tue Nov 26 01:50:54 UTC 2024 I: Done submitting .buildinfo files. Tue Nov 26 01:50:54 UTC 2024 I: Removing signed octave-stk_2.8.1-3_amd64.buildinfo.asc files: removed './b1/octave-stk_2.8.1-3_amd64.buildinfo.asc' removed './b2/octave-stk_2.8.1-3_amd64.buildinfo.asc' 1732585854 amd64 trixie octave-stk Starting cleanup. /var/lib/jenkins/userContent/reproducible/debian/rbuild/trixie/amd64/octave-stk_2.8.1-3.rbuild.log: 85.3% -- replaced with /var/lib/jenkins/userContent/reproducible/debian/rbuild/trixie/amd64/octave-stk_2.8.1-3.rbuild.log.gz [2024-11-26 01:50:54] INFO: Starting at 2024-11-26 01:50:54.843014 [2024-11-26 01:50:54] INFO: Generating the pages of 1 package(s) [2024-11-26 01:50:55] INFO: Finished at 2024-11-26 01:50:55.867627, took: 0:00:01.024626 All cleanup done. Tue Nov 26 01:50:56 UTC 2024 - total duration: 0h 46m 33s. Tue Nov 26 01:50:56 UTC 2024 - reproducible_build.sh stopped running as /tmp/jenkins-script-CrqqYyHe, removing. Finished with result: success Main processes terminated with: code=exited/status=0 Service runtime: 47min 15.552s CPU time consumed: 11.165s