https://launchpad.net/ubuntu/+source/octave-stk/2.6.1-3/+build/19765808 RUN: /usr/share/launchpad-buildd/bin/builder-prep Kernel version: Linux lcy01-amd64-003 4.4.0-186-generic #216-Ubuntu SMP Wed Jul 1 05:34:05 UTC 2020 x86_64 Buildd toolchain package versions: launchpad-buildd_189 python-lpbuildd_189 sbuild_0.67.0-2ubuntu7.1 bzr-builder_0.7.3+bzr174~ppa13~ubuntu14.10.1 bzr_2.7.0-2ubuntu3.1 git-build-recipe_0.3.6~git201906051340.ff11471~ubuntu16.04.1 git_1:2.7.4-0ubuntu1.9 dpkg-dev_1.18.4ubuntu1.6 python-debian_0.1.27ubuntu2. Syncing the system clock with the buildd NTP service... 3 Aug 17:12:27 ntpdate[1881]: adjust time server 10.211.37.1 offset 0.004653 sec RUN: /usr/share/launchpad-buildd/bin/in-target unpack-chroot --backend=chroot --series=groovy --arch=amd64 PACKAGEBUILD-19765808 --image-type chroot /home/buildd/filecache-default/20f824f72d640d2ced4a53a84e89958befe66512 Creating target for build PACKAGEBUILD-19765808 RUN: /usr/share/launchpad-buildd/bin/in-target mount-chroot --backend=chroot --series=groovy --arch=amd64 PACKAGEBUILD-19765808 Starting target for build PACKAGEBUILD-19765808 RUN: /usr/share/launchpad-buildd/bin/in-target override-sources-list --backend=chroot --series=groovy --arch=amd64 PACKAGEBUILD-19765808 'deb http://ftpmaster.internal/ubuntu groovy main universe' 'deb http://ftpmaster.internal/ubuntu groovy-security main universe' 'deb http://ftpmaster.internal/ubuntu groovy-updates main universe' 'deb http://ftpmaster.internal/ubuntu groovy-proposed main universe' Overriding sources.list in build-PACKAGEBUILD-19765808 RUN: /usr/share/launchpad-buildd/bin/in-target update-debian-chroot --backend=chroot --series=groovy --arch=amd64 PACKAGEBUILD-19765808 Updating target for build PACKAGEBUILD-19765808 Get:1 http://ftpmaster.internal/ubuntu groovy InRelease [267 kB] Get:2 http://ftpmaster.internal/ubuntu groovy-security InRelease [89.1 kB] Get:3 http://ftpmaster.internal/ubuntu groovy-updates InRelease [89.1 kB] Get:4 http://ftpmaster.internal/ubuntu groovy-proposed InRelease [118 kB] Get:5 http://ftpmaster.internal/ubuntu groovy/main amd64 Packages [973 kB] Get:6 http://ftpmaster.internal/ubuntu groovy/main Translation-en [510 kB] Get:7 http://ftpmaster.internal/ubuntu groovy/universe amd64 Packages [8836 kB] Get:8 http://ftpmaster.internal/ubuntu groovy/universe Translation-en [5251 kB] Get:9 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 Packages [134 kB] Get:10 http://ftpmaster.internal/ubuntu groovy-proposed/main Translation-en [64.4 kB] Get:11 http://ftpmaster.internal/ubuntu groovy-proposed/universe amd64 Packages [401 kB] Get:12 http://ftpmaster.internal/ubuntu groovy-proposed/universe Translation-en [215 kB] Fetched 16.9 MB in 4s (4663 kB/s) Reading package lists... Reading package lists... Building dependency tree... Reading state information... Calculating upgrade... The following package was automatically installed and is no longer required: libjson-c4 Use 'sudo apt autoremove' to remove it. The following NEW packages will be installed: libjson-c5 The following packages will be upgraded: base-files bsdutils build-essential ca-certificates coreutils dpkg dpkg-dev libblkid1 libc-bin libc-dev-bin libc6 libc6-dev libcryptsetup12 libdpkg-perl liblzma5 libmount1 libmpc3 libmpfr6 libselinux1 libsemanage-common libsemanage1 libsmartcols1 libsystemd0 libudev1 libuuid1 linux-libc-dev mount systemd systemd-sysv systemd-timesyncd util-linux xz-utils 32 upgraded, 1 newly installed, 0 to remove and 0 not upgraded. Need to get 18.5 MB of archives. After this operation, 403 kB of additional disk space will be used. Get:1 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libc6-dev amd64 2.31-2ubuntu1 [2279 kB] Get:2 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libc-dev-bin amd64 2.31-2ubuntu1 [71.5 kB] Get:3 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 linux-libc-dev amd64 5.8.0-12.13 [1117 kB] Get:4 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libc6 amd64 2.31-2ubuntu1 [2711 kB] Get:5 http://ftpmaster.internal/ubuntu groovy/main amd64 base-files amd64 11ubuntu10 [60.3 kB] Get:6 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 bsdutils amd64 1:2.36-2ubuntu1 [87.0 kB] Get:7 http://ftpmaster.internal/ubuntu groovy/main amd64 libselinux1 amd64 3.1-2 [68.8 kB] Get:8 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 coreutils amd64 8.32-3ubuntu1 [1355 kB] Get:9 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 dpkg amd64 1.20.5ubuntu1 [1172 kB] Get:10 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 util-linux amd64 2.36-2ubuntu1 [1069 kB] Get:11 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libc-bin amd64 2.31-2ubuntu1 [627 kB] Get:12 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 systemd-timesyncd amd64 245.7-1ubuntu1 [28.2 kB] Get:13 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 systemd-sysv amd64 245.7-1ubuntu1 [10.3 kB] Get:14 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libjson-c5 amd64 0.15-1 [31.3 kB] Get:15 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libblkid1 amd64 2.36-2ubuntu1 [133 kB] Get:16 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libuuid1 amd64 2.36-2ubuntu1 [21.7 kB] Get:17 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libcryptsetup12 amd64 2:2.3.3-1ubuntu4 [194 kB] Get:18 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libmount1 amd64 2.36-2ubuntu1 [148 kB] Get:19 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 mount amd64 2.36-2ubuntu1 [120 kB] Get:20 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 systemd amd64 245.7-1ubuntu1 [3925 kB] Get:21 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libsystemd0 amd64 245.7-1ubuntu1 [263 kB] Get:22 http://ftpmaster.internal/ubuntu groovy/main amd64 liblzma5 amd64 5.2.4-1ubuntu1 [91.7 kB] Get:23 http://ftpmaster.internal/ubuntu groovy/main amd64 libsemanage-common all 3.1-1 [10.2 kB] Get:24 http://ftpmaster.internal/ubuntu groovy/main amd64 libsemanage1 amd64 3.1-1 [86.2 kB] Get:25 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libsmartcols1 amd64 2.36-2ubuntu1 [96.8 kB] Get:26 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libudev1 amd64 245.7-1ubuntu1 [67.1 kB] Get:27 http://ftpmaster.internal/ubuntu groovy/main amd64 ca-certificates all 20200601 [147 kB] Get:28 http://ftpmaster.internal/ubuntu groovy/main amd64 xz-utils amd64 5.2.4-1ubuntu1 [82.5 kB] Get:29 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 dpkg-dev all 1.20.5ubuntu1 [758 kB] Get:30 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libdpkg-perl all 1.20.5ubuntu1 [231 kB] Get:31 http://ftpmaster.internal/ubuntu groovy/main amd64 build-essential amd64 12.8ubuntu3 [4640 B] Get:32 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libmpfr6 amd64 4.1.0-3 [1401 kB] Get:33 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libmpc3 amd64 1.2.0~rc1-1 [44.3 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 18.5 MB in 0s (43.1 MB/s) (Reading database ... 12787 files and directories currently installed.) 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Setting up libc6-dev:amd64 (2.31-2ubuntu1) ... Setting up libcryptsetup12:amd64 (2:2.3.3-1ubuntu4) ... Setting up build-essential (12.8ubuntu3) ... Setting up systemd-timesyncd (245.7-1ubuntu1) ... Setting up systemd (245.7-1ubuntu1) ... Initializing machine ID from KVM UUID. Setting up systemd-sysv (245.7-1ubuntu1) ... Processing triggers for libc-bin (2.31-2ubuntu1) ... Processing triggers for ca-certificates (20200601) ... Updating certificates in /etc/ssl/certs... 0 added, 0 removed; done. Running hooks in /etc/ca-certificates/update.d... done. RUN: /usr/share/launchpad-buildd/bin/sbuild-package PACKAGEBUILD-19765808 amd64 groovy-proposed -c chroot:build-PACKAGEBUILD-19765808 --arch=amd64 --dist=groovy-proposed --nolog -A octave-stk_2.6.1-3.dsc Initiating build PACKAGEBUILD-19765808 with 4 jobs across 4 processor cores. Kernel reported to sbuild: 4.4.0-186-generic #216-Ubuntu SMP Wed Jul 1 05:34:05 UTC 2020 x86_64 sbuild (Debian sbuild) 0.67.0 (26 Dec 2015) on lcy01-amd64-003.buildd +==============================================================================+ | octave-stk 2.6.1-3 (amd64) 03 Aug 2020 17:12 | +==============================================================================+ Package: octave-stk Version: 2.6.1-3 Source Version: 2.6.1-3 Distribution: groovy-proposed Machine Architecture: amd64 Host Architecture: amd64 Build Architecture: amd64 I: NOTICE: Log filtering will replace 'build/octave-stk-ip7XKo/octave-stk-2.6.1' with '<>' I: NOTICE: Log filtering will replace 'build/octave-stk-ip7XKo' with '<>' I: NOTICE: Log filtering will replace 'home/buildd/build-PACKAGEBUILD-19765808/chroot-autobuild' with '<>' +------------------------------------------------------------------------------+ | Fetch source files | +------------------------------------------------------------------------------+ Local sources ------------- octave-stk_2.6.1-3.dsc exists in .; copying to chroot Check architectures ------------------- Check dependencies ------------------ Merged Build-Depends: build-essential, fakeroot Filtered Build-Depends: build-essential, fakeroot dpkg-deb: building package 'sbuild-build-depends-core-dummy' in '/<>/resolver-EU957t/apt_archive/sbuild-build-depends-core-dummy.deb'. Ign:1 copy:/<>/resolver-EU957t/apt_archive ./ InRelease Get:2 copy:/<>/resolver-EU957t/apt_archive ./ Release [2119 B] Ign:3 copy:/<>/resolver-EU957t/apt_archive ./ Release.gpg Get:4 copy:/<>/resolver-EU957t/apt_archive ./ Sources [214 B] Get:5 copy:/<>/resolver-EU957t/apt_archive ./ Packages [528 B] Fetched 2861 B in 0s (118 kB/s) Reading package lists... Reading package lists... +------------------------------------------------------------------------------+ | Install core build dependencies (apt-based resolver) | +------------------------------------------------------------------------------+ Installing build dependencies Reading package lists... Building dependency tree... Reading state information... The following package was automatically installed and is no longer required: libjson-c4 Use 'apt autoremove' to remove it. The following NEW packages will be installed: sbuild-build-depends-core-dummy 0 upgraded, 1 newly installed, 0 to remove and 0 not upgraded. Need to get 852 B of archives. After this operation, 0 B of additional disk space will be used. Get:1 copy:/<>/resolver-EU957t/apt_archive ./ sbuild-build-depends-core-dummy 0.invalid.0 [852 B] debconf: delaying package configuration, since apt-utils is not installed Fetched 852 B in 0s (0 B/s) Selecting previously unselected package sbuild-build-depends-core-dummy. (Reading database ... 12893 files and directories currently installed.) Preparing to unpack .../sbuild-build-depends-core-dummy_0.invalid.0_amd64.deb ... Unpacking sbuild-build-depends-core-dummy (0.invalid.0) ... Setting up sbuild-build-depends-core-dummy (0.invalid.0) ... Merged Build-Depends: debhelper-compat (= 13), dh-octave (>= 0.7.1) Filtered Build-Depends: debhelper-compat (= 13), dh-octave (>= 0.7.1) dpkg-deb: building package 'sbuild-build-depends-octave-stk-dummy' in '/<>/resolver-tdAkkb/apt_archive/sbuild-build-depends-octave-stk-dummy.deb'. Ign:1 copy:/<>/resolver-tdAkkb/apt_archive ./ InRelease Get:2 copy:/<>/resolver-tdAkkb/apt_archive ./ Release [2119 B] Ign:3 copy:/<>/resolver-tdAkkb/apt_archive ./ Release.gpg Get:4 copy:/<>/resolver-tdAkkb/apt_archive ./ Sources [231 B] Get:5 copy:/<>/resolver-tdAkkb/apt_archive ./ Packages [547 B] Fetched 2897 B in 0s (137 kB/s) Reading package lists... Reading package lists... +------------------------------------------------------------------------------+ | Install octave-stk build dependencies (apt-based resolver) | +------------------------------------------------------------------------------+ Installing build dependencies Reading package lists... Building dependency tree... Reading state information... The following package was automatically installed and is no longer required: libjson-c4 Use 'apt autoremove' to remove it. The following additional packages will be installed: aglfn autoconf automake autopoint autotools-dev bsdextrautils cme debhelper dh-autoreconf dh-octave dh-octave-autopkgtest dh-strip-nondeterminism diffstat dwz file fontconfig fontconfig-config fonts-dejavu-core fonts-freefont-otf gettext gettext-base gfortran gfortran-10 gnuplot-data gnuplot-nox groff-base hdf5-helpers intltool-debian libaec-dev libaec0 libalgorithm-c3-perl libaliased-perl libamd2 libapp-cmd-perl libapt-pkg-perl libarchive-zip-perl libarpack2 libarray-intspan-perl libasn1-8-heimdal libasound2 libasound2-data libavahi-client3 libavahi-common-data libavahi-common3 libb-hooks-endofscope-perl libb-hooks-op-check-perl libblas-dev libblas3 libboolean-perl libbrotli1 libbsd0 libcairo2 libcamd2 libcapture-tiny-perl libcarp-assert-more-perl libcarp-assert-perl libccolamd2 libcholmod3 libclass-c3-perl libclass-data-inheritable-perl libclass-load-perl libclass-method-modifiers-perl libclass-xsaccessor-perl libclone-choose-perl libclone-perl libcolamd2 libconfig-model-backend-yaml-perl libconfig-model-dpkg-perl libconfig-model-perl libconfig-tiny-perl libconvert-binhex-perl libcpanel-json-xs-perl libcroco3 libcups2 libcurl3-gnutls libcxsparse3 libdata-dpath-perl libdata-messagepack-perl libdata-optlist-perl libdata-section-perl libdata-validate-domain-perl libdatrie1 libdbus-1-3 libdebhelper-perl libdevel-callchecker-perl libdevel-size-perl libdevel-stacktrace-perl libdouble-conversion3 libdrm-amdgpu1 libdrm-common libdrm-intel1 libdrm-nouveau2 libdrm-radeon1 libdrm2 libdynaloader-functions-perl libedit2 libegl-dev libegl-mesa0 libegl1 libelf1 libemail-address-xs-perl libencode-locale-perl liberror-perl libevdev2 libexception-class-perl libexpat1 libexporter-lite-perl libexporter-tiny-perl libfftw3-bin libfftw3-dev libfftw3-double3 libfftw3-long3 libfftw3-quad3 libfftw3-single3 libfile-basedir-perl libfile-find-rule-perl libfile-homedir-perl libfile-listing-perl libfile-stripnondeterminism-perl libfile-which-perl libflac8 libfltk-gl1.3 libfltk1.3 libfont-ttf-perl libfontconfig1 libfreetype6 libfribidi0 libfuture-perl libgbm1 libgd3 libgetopt-long-descriptive-perl libgfortran-10-dev libgfortran5 libgl-dev libgl1 libgl1-mesa-dev libgl1-mesa-dri libgl2ps1.4 libglapi-mesa libgles-dev libgles1 libgles2 libglib2.0-0 libglpk40 libglu1-mesa libglvnd-dev libglvnd0 libglx-dev libglx-mesa0 libglx0 libgraphicsmagick++-q16-12 libgraphicsmagick-q16-3 libgraphite2-3 libgssapi-krb5-2 libgssapi3-heimdal libgudev-1.0-0 libharfbuzz0b libhash-fieldhash-perl libhash-merge-perl libhcrypto4-heimdal libhdf5-103-1 libhdf5-cpp-103-1 libhdf5-dev libhdf5-fortran-102 libhdf5-hl-100 libhdf5-hl-cpp-100 libhdf5-hl-fortran-100 libheimbase1-heimdal libheimntlm0-heimdal libhtml-parser-perl libhtml-tagset-perl libhtml-tree-perl libhttp-cookies-perl libhttp-date-perl libhttp-message-perl libhttp-negotiate-perl libhx509-5-heimdal libice6 libicu67 libimport-into-perl libinput-bin libinput10 libio-async-loop-epoll-perl libio-async-perl libio-html-perl libio-socket-ssl-perl libio-string-perl libio-stringy-perl libio-tiecombine-perl libipc-run3-perl libipc-system-simple-perl libiterator-perl libiterator-util-perl libjack-jackd2-0 libjbig0 libjpeg-dev libjpeg-turbo8 libjpeg-turbo8-dev libjpeg8 libjpeg8-dev libjson-maybexs-perl libjson-perl libk5crypto3 libkeyutils1 libkrb5-26-heimdal libkrb5-3 libkrb5support0 liblapack-dev liblapack3 liblcms2-2 libldap-2.4-2 libldap-common liblinux-epoll-perl liblist-compare-perl liblist-moreutils-perl liblist-someutils-perl liblist-utilsby-perl libllvm10 liblog-any-adapter-screen-perl liblog-any-perl liblog-log4perl-perl libltdl7 liblua5.3-0 liblwp-mediatypes-perl liblwp-protocol-https-perl libmagic-mgc libmagic1 libmailtools-perl libmd4c0 libmetis5 libmetrics-any-perl libmime-tools-perl libmodule-implementation-perl libmodule-pluggable-perl libmodule-runtime-perl libmoo-perl libmoox-aliases-perl libmoox-struct-perl libmouse-perl libmousex-nativetraits-perl libmousex-strictconstructor-perl libmro-compat-perl libmtdev1 libnamespace-autoclean-perl libnamespace-clean-perl libncurses-dev libnet-domain-tld-perl libnet-http-perl libnet-smtp-ssl-perl libnet-ssleay-perl libnghttp2-14 libnumber-compare-perl libnumber-range-perl libobject-id-perl liboctave-dev liboctave7 libogg0 libopengl-dev libopengl0 libpackage-stash-perl libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libparams-classify-perl libparams-util-perl libparams-validate-perl libparse-debcontrol-perl libparse-recdescent-perl libpath-iterator-rule-perl libpath-tiny-perl libpciaccess0 libpcre2-16-0 libperlio-gzip-perl libpipeline1 libpixman-1-0 libpod-constants-perl libpod-pom-perl libportaudio2 libpsl5 libpthread-stubs0-dev libqhull8.0 libqrupdate1 libqscintilla2-qt5-15 libqscintilla2-qt5-l10n libqt5core5a libqt5dbus5 libqt5gui5 libqt5help5 libqt5network5 libqt5printsupport5 libqt5sql5 libqt5widgets5 libqt5xml5 libre-engine-re2-perl libre2-8 libreadline-dev libregexp-common-perl libregexp-pattern-license-perl libregexp-pattern-perl libroken18-heimdal librole-tiny-perl librtmp1 libsamplerate0 libsasl2-2 libsasl2-modules-db libsensors-config libsensors5 libsereal-decoder-perl libsereal-encoder-perl libsigsegv2 libsm6 libsndfile1 libsoftware-license-perl libsoftware-licensemoreutils-perl libsort-key-perl libsort-versions-perl libssh-4 libstrictures-perl libstring-copyright-perl libstring-escape-perl libstring-rewriteprefix-perl libstruct-dumb-perl libsub-exporter-perl libsub-exporter-progressive-perl libsub-identify-perl libsub-install-perl libsub-name-perl libsub-override-perl libsub-quote-perl libsub-uplevel-perl libsuitesparseconfig5 libsz2 libtest-exception-perl libtest-metrics-any-perl libtext-autoformat-perl libtext-glob-perl libtext-levenshtein-damerau-perl libtext-levenshteinxs-perl libtext-reform-perl libtext-template-perl libtext-unidecode-perl libtext-xslate-perl libthai-data libthai0 libtiff5 libtime-duration-perl libtime-moment-perl libtimedate-perl libtool libtry-tiny-perl libtype-tiny-perl libuchardet0 libumfpack5 libunicode-utf8-perl liburi-perl libvariable-magic-perl libvorbis0a libvorbisenc2 libvulkan1 libwacom-common libwacom2 libwayland-client0 libwayland-server0 libwebp6 libwebpmux3 libwind0-heimdal libwmf0.2-7 libwww-perl libwww-robotrules-perl libx11-6 libx11-data libx11-dev libx11-xcb1 libxau-dev libxau6 libxcb-dri2-0 libxcb-dri3-0 libxcb-glx0 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-present0 libxcb-randr0 libxcb-render-util0 libxcb-render0 libxcb-shape0 libxcb-shm0 libxcb-sync1 libxcb-util1 libxcb-xfixes0 libxcb-xinerama0 libxcb-xinput0 libxcb-xkb1 libxcb1 libxcb1-dev libxcursor1 libxdamage1 libxdmcp-dev libxdmcp6 libxext6 libxfixes3 libxft2 libxinerama1 libxkbcommon-x11-0 libxkbcommon0 libxml-libxml-perl libxml-namespacesupport-perl libxml-sax-base-perl libxml-sax-perl libxml-writer-perl libxml2 libxpm4 libxrender1 libxshmfence1 libxxf86vm1 libyaml-0-2 libyaml-libyaml-perl libyaml-perl libyaml-tiny-perl licensecheck lintian lzip m4 man-db netbase octave octave-common patchutils perl-openssl-defaults po-debconf shared-mime-info t1utils tex-common texinfo ucf x11-common x11proto-core-dev x11proto-dev xkb-data xorg-sgml-doctools xtrans-dev zlib1g-dev Suggested packages: autoconf-archive gnu-standards autoconf-doc libconfig-model-cursesui-perl libconfig-model-itself-perl dh-make gettext-doc libasprintf-dev libgettextpo-dev gfortran-multilib gfortran-doc gfortran-10-multilib gfortran-10-doc libcoarrays-dev gnuplot-doc groff libasound2-plugins alsa-utils liblapack-doc libconfig-model-openssh-perl libterm-readline-perl-perl | libterm-readline-gnu-perl cups-common libfftw3-doc libxml-parser-perl libgd-tools libiodbc2-dev default-libmysqlclient-dev graphicsmagick-dbg krb5-doc krb5-user libhdf5-doc libdata-dump-perl jackd2 liblcms2-utils libdbd-csv-perl liblog-dispatch-filerotate-perl librrds-perl libxml-dom-perl libcrypt-ssleay-perl ncurses-doc libossp-uuid-perl libscalar-number-perl pciutils libqscintilla2-doc qt5-image-formats-plugins qtwayland5 readline-doc lm-sensors libbareword-filehandles-perl libindirect-perl libmultidimensional-perl libtool-doc gcj-jdk libdevel-lexalias-perl libwmf0.2-7-gtk libauthen-ntlm-perl libx11-doc libxcb-doc libyaml-shell-perl bash-completion binutils-multiarch m4-doc apparmor less www-browser libmail-box-perl texlive-base texlive-latex-base texlive-plain-generic texlive-fonts-recommended Recommended packages: libconfig-model-approx-perl libconfig-model-lcdproc-perl libconfig-model-openssh-perl libconfig-model-systemd-perl libconfig-model-tkui-perl curl | wget | lynx fonts-liberation groff alsa-ucm-conf alsa-topology-conf libclass-c3-xs-perl bash-completion fuse libfuse-perl dbus libarchive-cpio-perl libglib2.0-data xdg-user-dirs ghostscript gsfonts libhtml-format-perl libasync-mergepoint-perl libsereal-perl libtest-fatal-perl libtest-refcount-perl libjson-xs-perl krb5-locales liblist-someutils-xs-perl libipc-shareable-perl liblog-dispatch-perl libauthen-sasl-perl libpackage-stash-xs-perl libtie-ixhash-perl publicsuffix qttranslations5-l10n libqt5svg5 qt5-gtk-platformtheme libqt5sql5-sqlite | libqt5sql5-mysql | libqt5sql5-odbc | libqt5sql5-psql | libqt5sql5-tds | libqt5sql5-ibase libsasl2-modules libltdl-dev libref-util-perl libtype-tiny-xs-perl mesa-vulkan-drivers | vulkan-icd libwacom-bin fonts-urw-base35 libdata-dump-perl libhtml-form-perl libhttp-daemon-perl libxml-sax-expat-perl libopenblas0 | libatlas3-base pstoedit epstool default-jre-headless octave-doc libmail-sendmail-perl The following NEW packages will be installed: aglfn autoconf automake autopoint autotools-dev bsdextrautils cme debhelper dh-autoreconf dh-octave dh-octave-autopkgtest dh-strip-nondeterminism diffstat dwz file fontconfig fontconfig-config fonts-dejavu-core fonts-freefont-otf gettext gettext-base gfortran gfortran-10 gnuplot-data gnuplot-nox groff-base hdf5-helpers intltool-debian libaec-dev libaec0 libalgorithm-c3-perl libaliased-perl libamd2 libapp-cmd-perl libapt-pkg-perl libarchive-zip-perl libarpack2 libarray-intspan-perl libasn1-8-heimdal libasound2 libasound2-data libavahi-client3 libavahi-common-data libavahi-common3 libb-hooks-endofscope-perl libb-hooks-op-check-perl libblas-dev libblas3 libboolean-perl libbrotli1 libbsd0 libcairo2 libcamd2 libcapture-tiny-perl libcarp-assert-more-perl libcarp-assert-perl libccolamd2 libcholmod3 libclass-c3-perl libclass-data-inheritable-perl libclass-load-perl libclass-method-modifiers-perl libclass-xsaccessor-perl libclone-choose-perl libclone-perl libcolamd2 libconfig-model-backend-yaml-perl libconfig-model-dpkg-perl libconfig-model-perl libconfig-tiny-perl libconvert-binhex-perl libcpanel-json-xs-perl libcroco3 libcups2 libcurl3-gnutls libcxsparse3 libdata-dpath-perl libdata-messagepack-perl libdata-optlist-perl libdata-section-perl libdata-validate-domain-perl libdatrie1 libdbus-1-3 libdebhelper-perl libdevel-callchecker-perl libdevel-size-perl libdevel-stacktrace-perl libdouble-conversion3 libdrm-amdgpu1 libdrm-common libdrm-intel1 libdrm-nouveau2 libdrm-radeon1 libdrm2 libdynaloader-functions-perl libedit2 libegl-dev libegl-mesa0 libegl1 libelf1 libemail-address-xs-perl libencode-locale-perl liberror-perl libevdev2 libexception-class-perl libexpat1 libexporter-lite-perl libexporter-tiny-perl libfftw3-bin libfftw3-dev libfftw3-double3 libfftw3-long3 libfftw3-quad3 libfftw3-single3 libfile-basedir-perl libfile-find-rule-perl libfile-homedir-perl libfile-listing-perl libfile-stripnondeterminism-perl libfile-which-perl libflac8 libfltk-gl1.3 libfltk1.3 libfont-ttf-perl libfontconfig1 libfreetype6 libfribidi0 libfuture-perl libgbm1 libgd3 libgetopt-long-descriptive-perl libgfortran-10-dev libgfortran5 libgl-dev libgl1 libgl1-mesa-dev libgl1-mesa-dri libgl2ps1.4 libglapi-mesa libgles-dev libgles1 libgles2 libglib2.0-0 libglpk40 libglu1-mesa libglvnd-dev libglvnd0 libglx-dev libglx-mesa0 libglx0 libgraphicsmagick++-q16-12 libgraphicsmagick-q16-3 libgraphite2-3 libgssapi-krb5-2 libgssapi3-heimdal libgudev-1.0-0 libharfbuzz0b libhash-fieldhash-perl libhash-merge-perl libhcrypto4-heimdal libhdf5-103-1 libhdf5-cpp-103-1 libhdf5-dev libhdf5-fortran-102 libhdf5-hl-100 libhdf5-hl-cpp-100 libhdf5-hl-fortran-100 libheimbase1-heimdal libheimntlm0-heimdal libhtml-parser-perl libhtml-tagset-perl libhtml-tree-perl libhttp-cookies-perl libhttp-date-perl libhttp-message-perl libhttp-negotiate-perl libhx509-5-heimdal libice6 libicu67 libimport-into-perl libinput-bin libinput10 libio-async-loop-epoll-perl libio-async-perl libio-html-perl libio-socket-ssl-perl libio-string-perl libio-stringy-perl libio-tiecombine-perl libipc-run3-perl libipc-system-simple-perl libiterator-perl libiterator-util-perl libjack-jackd2-0 libjbig0 libjpeg-dev libjpeg-turbo8 libjpeg-turbo8-dev libjpeg8 libjpeg8-dev libjson-maybexs-perl libjson-perl libk5crypto3 libkeyutils1 libkrb5-26-heimdal libkrb5-3 libkrb5support0 liblapack-dev liblapack3 liblcms2-2 libldap-2.4-2 libldap-common liblinux-epoll-perl liblist-compare-perl liblist-moreutils-perl liblist-someutils-perl liblist-utilsby-perl libllvm10 liblog-any-adapter-screen-perl liblog-any-perl liblog-log4perl-perl libltdl7 liblua5.3-0 liblwp-mediatypes-perl liblwp-protocol-https-perl libmagic-mgc libmagic1 libmailtools-perl libmd4c0 libmetis5 libmetrics-any-perl libmime-tools-perl libmodule-implementation-perl libmodule-pluggable-perl libmodule-runtime-perl libmoo-perl libmoox-aliases-perl libmoox-struct-perl libmouse-perl libmousex-nativetraits-perl libmousex-strictconstructor-perl libmro-compat-perl libmtdev1 libnamespace-autoclean-perl libnamespace-clean-perl libncurses-dev libnet-domain-tld-perl libnet-http-perl libnet-smtp-ssl-perl libnet-ssleay-perl libnghttp2-14 libnumber-compare-perl libnumber-range-perl libobject-id-perl liboctave-dev liboctave7 libogg0 libopengl-dev libopengl0 libpackage-stash-perl libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libparams-classify-perl libparams-util-perl libparams-validate-perl libparse-debcontrol-perl libparse-recdescent-perl libpath-iterator-rule-perl libpath-tiny-perl libpciaccess0 libpcre2-16-0 libperlio-gzip-perl libpipeline1 libpixman-1-0 libpod-constants-perl libpod-pom-perl libportaudio2 libpsl5 libpthread-stubs0-dev libqhull8.0 libqrupdate1 libqscintilla2-qt5-15 libqscintilla2-qt5-l10n libqt5core5a libqt5dbus5 libqt5gui5 libqt5help5 libqt5network5 libqt5printsupport5 libqt5sql5 libqt5widgets5 libqt5xml5 libre-engine-re2-perl libre2-8 libreadline-dev libregexp-common-perl libregexp-pattern-license-perl libregexp-pattern-perl libroken18-heimdal librole-tiny-perl librtmp1 libsamplerate0 libsasl2-2 libsasl2-modules-db libsensors-config libsensors5 libsereal-decoder-perl libsereal-encoder-perl libsigsegv2 libsm6 libsndfile1 libsoftware-license-perl libsoftware-licensemoreutils-perl libsort-key-perl libsort-versions-perl libssh-4 libstrictures-perl libstring-copyright-perl libstring-escape-perl libstring-rewriteprefix-perl libstruct-dumb-perl libsub-exporter-perl libsub-exporter-progressive-perl libsub-identify-perl libsub-install-perl libsub-name-perl libsub-override-perl libsub-quote-perl libsub-uplevel-perl libsuitesparseconfig5 libsz2 libtest-exception-perl libtest-metrics-any-perl libtext-autoformat-perl libtext-glob-perl libtext-levenshtein-damerau-perl libtext-levenshteinxs-perl libtext-reform-perl libtext-template-perl libtext-unidecode-perl libtext-xslate-perl libthai-data libthai0 libtiff5 libtime-duration-perl libtime-moment-perl libtimedate-perl libtool libtry-tiny-perl libtype-tiny-perl libuchardet0 libumfpack5 libunicode-utf8-perl liburi-perl libvariable-magic-perl libvorbis0a libvorbisenc2 libvulkan1 libwacom-common libwacom2 libwayland-client0 libwayland-server0 libwebp6 libwebpmux3 libwind0-heimdal libwmf0.2-7 libwww-perl libwww-robotrules-perl libx11-6 libx11-data libx11-dev libx11-xcb1 libxau-dev libxau6 libxcb-dri2-0 libxcb-dri3-0 libxcb-glx0 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-present0 libxcb-randr0 libxcb-render-util0 libxcb-render0 libxcb-shape0 libxcb-shm0 libxcb-sync1 libxcb-util1 libxcb-xfixes0 libxcb-xinerama0 libxcb-xinput0 libxcb-xkb1 libxcb1 libxcb1-dev libxcursor1 libxdamage1 libxdmcp-dev libxdmcp6 libxext6 libxfixes3 libxft2 libxinerama1 libxkbcommon-x11-0 libxkbcommon0 libxml-libxml-perl libxml-namespacesupport-perl libxml-sax-base-perl libxml-sax-perl libxml-writer-perl libxml2 libxpm4 libxrender1 libxshmfence1 libxxf86vm1 libyaml-0-2 libyaml-libyaml-perl libyaml-perl libyaml-tiny-perl licensecheck lintian lzip m4 man-db netbase octave octave-common patchutils perl-openssl-defaults po-debconf sbuild-build-depends-octave-stk-dummy shared-mime-info t1utils tex-common texinfo ucf x11-common x11proto-core-dev x11proto-dev xkb-data xorg-sgml-doctools xtrans-dev zlib1g-dev 0 upgraded, 443 newly installed, 0 to remove and 0 not upgraded. Need to get 128 MB of archives. After this operation, 531 MB of additional disk space will be used. Get:1 copy:/<>/resolver-tdAkkb/apt_archive ./ sbuild-build-depends-octave-stk-dummy 0.invalid.0 [876 B] Get:2 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 bsdextrautils amd64 2.36-2ubuntu1 [77.4 kB] Get:3 http://ftpmaster.internal/ubuntu groovy/main amd64 libuchardet0 amd64 0.0.7-1 [68.0 kB] Get:4 http://ftpmaster.internal/ubuntu groovy/main amd64 groff-base amd64 1.22.4-5 [847 kB] Get:5 http://ftpmaster.internal/ubuntu groovy/main amd64 libpipeline1 amd64 1.5.2-2build1 [27.7 kB] Get:6 http://ftpmaster.internal/ubuntu groovy/main amd64 man-db amd64 2.9.3-2 [1117 kB] Get:7 http://ftpmaster.internal/ubuntu groovy/main amd64 ucf all 3.0043 [56.1 kB] Get:8 http://ftpmaster.internal/ubuntu groovy/universe amd64 tex-common all 6.15 [33.0 kB] Get:9 http://ftpmaster.internal/ubuntu groovy/main amd64 libmagic-mgc amd64 1:5.38-5 [218 kB] Get:10 http://ftpmaster.internal/ubuntu groovy/main amd64 libmagic1 amd64 1:5.38-5 [76.0 kB] Get:11 http://ftpmaster.internal/ubuntu groovy/main amd64 file amd64 1:5.38-5 [23.3 kB] Get:12 http://ftpmaster.internal/ubuntu groovy/main amd64 libbsd0 amd64 0.10.0-1 [45.4 kB] Get:13 http://ftpmaster.internal/ubuntu groovy/main amd64 libdbus-1-3 amd64 1.12.18-1ubuntu1 [181 kB] Get:14 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libelf1 amd64 0.180-1 [44.2 kB] Get:15 http://ftpmaster.internal/ubuntu groovy/main amd64 libexpat1 amd64 2.2.9-1build1 [73.3 kB] Get:16 http://ftpmaster.internal/ubuntu groovy/main amd64 libfribidi0 amd64 1.0.8-2 [23.8 kB] Get:17 http://ftpmaster.internal/ubuntu groovy/main amd64 libglib2.0-0 amd64 2.64.4-1 [1286 kB] Get:18 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libicu67 amd64 67.1-3ubuntu1 [8619 kB] Get:19 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libxml2 amd64 2.9.10+dfsg-5build1 [623 kB] Get:20 http://ftpmaster.internal/ubuntu groovy/main amd64 libyaml-0-2 amd64 0.2.2-1 [48.9 kB] Get:21 http://ftpmaster.internal/ubuntu groovy/main amd64 netbase all 6.1 [13.1 kB] Get:22 http://ftpmaster.internal/ubuntu groovy/main amd64 shared-mime-info amd64 1.15-1 [430 kB] Get:23 http://ftpmaster.internal/ubuntu groovy/main amd64 xkb-data all 2.29-2 [349 kB] Get:24 http://ftpmaster.internal/ubuntu groovy/main amd64 gettext-base amd64 0.19.8.1-10build1 [50.2 kB] Get:25 http://ftpmaster.internal/ubuntu groovy/main amd64 libdrm-common all 2.4.102-1 [5524 B] Get:26 http://ftpmaster.internal/ubuntu groovy/main amd64 libdrm2 amd64 2.4.102-1 [32.5 kB] Get:27 http://ftpmaster.internal/ubuntu groovy/main amd64 libedit2 amd64 3.1-20191231-1 [87.0 kB] Get:28 http://ftpmaster.internal/ubuntu groovy/main amd64 libkrb5support0 amd64 1.17-10 [30.8 kB] Get:29 http://ftpmaster.internal/ubuntu groovy/main amd64 libk5crypto3 amd64 1.17-10 [80.3 kB] Get:30 http://ftpmaster.internal/ubuntu groovy/main amd64 libkeyutils1 amd64 1.6.1-2ubuntu1 [10.1 kB] Get:31 http://ftpmaster.internal/ubuntu groovy/main amd64 libkrb5-3 amd64 1.17-10 [330 kB] Get:32 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groovy/main amd64 autoconf all 2.69-11.1 [321 kB] Get:43 http://ftpmaster.internal/ubuntu groovy/main amd64 autotools-dev all 20180224.1 [39.6 kB] Get:44 http://ftpmaster.internal/ubuntu groovy/main amd64 automake all 1:1.16.2-3ubuntu1 [548 kB] Get:45 http://ftpmaster.internal/ubuntu groovy/main amd64 autopoint all 0.19.8.1-10build1 [412 kB] Get:46 http://ftpmaster.internal/ubuntu groovy/main amd64 libcapture-tiny-perl all 0.48-1 [20.4 kB] Get:47 http://ftpmaster.internal/ubuntu groovy/main amd64 libparams-util-perl amd64 1.07-3build5 [19.7 kB] Get:48 http://ftpmaster.internal/ubuntu groovy/main amd64 libsub-install-perl all 0.928-1 [10.5 kB] Get:49 http://ftpmaster.internal/ubuntu groovy/main amd64 libdata-optlist-perl all 0.110-1 [9956 B] Get:50 http://ftpmaster.internal/ubuntu groovy/main amd64 libb-hooks-op-check-perl amd64 0.22-1build2 [10.2 kB] Get:51 http://ftpmaster.internal/ubuntu groovy/main amd64 libdynaloader-functions-perl all 0.003-1 [11.9 kB] Get:52 http://ftpmaster.internal/ubuntu groovy/main amd64 libdevel-callchecker-perl amd64 0.008-1ubuntu1 [14.5 kB] Get:53 http://ftpmaster.internal/ubuntu groovy/main amd64 libparams-classify-perl amd64 0.015-1build2 [21.1 kB] Get:54 http://ftpmaster.internal/ubuntu groovy/main amd64 libmodule-runtime-perl all 0.016-1 [16.2 kB] Get:55 http://ftpmaster.internal/ubuntu groovy/main amd64 libtry-tiny-perl all 0.30-1 [20.5 kB] Get:56 http://ftpmaster.internal/ubuntu groovy/main amd64 libmodule-implementation-perl all 0.09-1 [12.2 kB] Get:57 http://ftpmaster.internal/ubuntu groovy/main amd64 libpackage-stash-perl all 0.38-1 [19.1 kB] Get:58 http://ftpmaster.internal/ubuntu groovy/universe amd64 libclass-load-perl all 0.25-1 [13.5 kB] Get:59 http://ftpmaster.internal/ubuntu groovy/main amd64 libio-stringy-perl all 2.111-3 [55.8 kB] Get:60 http://ftpmaster.internal/ubuntu groovy/main amd64 libparams-validate-perl amd64 1.29-3 [52.7 kB] Get:61 http://ftpmaster.internal/ubuntu groovy/main amd64 libsub-exporter-perl all 0.987-1 [44.9 kB] Get:62 http://ftpmaster.internal/ubuntu groovy/main amd64 libgetopt-long-descriptive-perl all 0.105-1 [24.7 kB] Get:63 http://ftpmaster.internal/ubuntu groovy/universe amd64 libio-tiecombine-perl all 1.005-1 [12.5 kB] Get:64 http://ftpmaster.internal/ubuntu groovy/universe amd64 libmodule-pluggable-perl all 5.2-1 [21.9 kB] Get:65 http://ftpmaster.internal/ubuntu groovy/universe amd64 libstring-rewriteprefix-perl all 0.008-1 [6516 B] Get:66 http://ftpmaster.internal/ubuntu groovy/universe amd64 libapp-cmd-perl all 0.331-1 [58.6 kB] Get:67 http://ftpmaster.internal/ubuntu groovy/universe amd64 libboolean-perl all 0.46-1 [8654 B] Get:68 http://ftpmaster.internal/ubuntu groovy/universe amd64 libcarp-assert-perl all 0.21-1 [16.6 kB] Get:69 http://ftpmaster.internal/ubuntu groovy/universe amd64 libsub-uplevel-perl all 0.2800-1 [13.5 kB] Get:70 http://ftpmaster.internal/ubuntu groovy/universe amd64 libtest-exception-perl all 0.43-1 [14.7 kB] Get:71 http://ftpmaster.internal/ubuntu groovy/universe amd64 libcarp-assert-more-perl all 1.20-1 [15.0 kB] Get:72 http://ftpmaster.internal/ubuntu groovy/main amd64 libfile-which-perl all 1.23-1 [13.8 kB] Get:73 http://ftpmaster.internal/ubuntu groovy/main amd64 libfile-homedir-perl all 1.004-1 [37.3 kB] Get:74 http://ftpmaster.internal/ubuntu groovy/universe amd64 libclone-choose-perl all 0.010-1 [7672 B] Get:75 http://ftpmaster.internal/ubuntu groovy/universe amd64 libhash-merge-perl all 0.301-1 [13.1 kB] Get:76 http://ftpmaster.internal/ubuntu groovy/main amd64 libjson-perl all 4.02000-2 [80.9 kB] Get:77 http://ftpmaster.internal/ubuntu groovy/main amd64 libexporter-tiny-perl all 1.002002-1 [36.2 kB] Get:78 http://ftpmaster.internal/ubuntu groovy/main amd64 liblist-moreutils-perl amd64 0.416-1build5 [55.5 kB] Get:79 http://ftpmaster.internal/ubuntu groovy/universe amd64 liblog-log4perl-perl all 1.50-1 [344 kB] Get:80 http://ftpmaster.internal/ubuntu groovy/main amd64 libmouse-perl amd64 2.5.10-1build1 [155 kB] Get:81 http://ftpmaster.internal/ubuntu groovy/universe amd64 libmousex-nativetraits-perl all 1.09-2 [66.7 kB] Get:82 http://ftpmaster.internal/ubuntu groovy/universe amd64 libmousex-strictconstructor-perl all 0.02-2 [4812 B] Get:83 http://ftpmaster.internal/ubuntu groovy/universe amd64 libparse-recdescent-perl all 1.967015+dfsg-2 [145 kB] Get:84 http://ftpmaster.internal/ubuntu groovy/main amd64 libpath-tiny-perl all 0.114-1 [42.6 kB] Get:85 http://ftpmaster.internal/ubuntu groovy/universe amd64 libpod-pom-perl all 2.01-3 [62.6 kB] Get:86 http://ftpmaster.internal/ubuntu groovy/universe amd64 libregexp-common-perl all 2017060201-1 [168 kB] Get:87 http://ftpmaster.internal/ubuntu groovy/universe amd64 libconfig-model-perl all 2.140-1 [400 kB] Get:88 http://ftpmaster.internal/ubuntu groovy/main amd64 libyaml-perl all 1.30-1 [58.2 kB] Get:89 http://ftpmaster.internal/ubuntu groovy/universe amd64 cme all 1.032-1 [76.8 kB] Get:90 http://ftpmaster.internal/ubuntu groovy/main amd64 libtool all 2.4.6-14 [161 kB] Get:91 http://ftpmaster.internal/ubuntu groovy/main amd64 dh-autoreconf all 19 [16.1 kB] Get:92 http://ftpmaster.internal/ubuntu groovy/main amd64 libdebhelper-perl all 13.2ubuntu1 [64.2 kB] Get:93 http://ftpmaster.internal/ubuntu groovy/main amd64 libarchive-zip-perl all 1.68-1 [90.2 kB] Get:94 http://ftpmaster.internal/ubuntu groovy/main amd64 libsub-override-perl all 0.09-2 [9532 B] Get:95 http://ftpmaster.internal/ubuntu groovy/main amd64 libfile-stripnondeterminism-perl all 1.9.0-1 [17.2 kB] Get:96 http://ftpmaster.internal/ubuntu groovy/main amd64 dh-strip-nondeterminism all 1.9.0-1 [5192 B] Get:97 http://ftpmaster.internal/ubuntu groovy/main amd64 dwz amd64 0.13-5 [151 kB] Get:98 http://ftpmaster.internal/ubuntu groovy/main amd64 libcroco3 amd64 0.6.13-1 [82.5 kB] Get:99 http://ftpmaster.internal/ubuntu groovy/main amd64 gettext amd64 0.19.8.1-10build1 [895 kB] Get:100 http://ftpmaster.internal/ubuntu groovy/main amd64 intltool-debian all 0.35.0+20060710.5 [24.9 kB] Get:101 http://ftpmaster.internal/ubuntu groovy/main amd64 po-debconf all 1.0.21 [233 kB] Get:102 http://ftpmaster.internal/ubuntu groovy/main amd64 debhelper all 13.2ubuntu1 [878 kB] Get:103 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libblas3 amd64 3.9.0-3 [142 kB] Get:104 http://ftpmaster.internal/ubuntu groovy/main amd64 libgfortran5 amd64 10.2.0-3ubuntu1 [735 kB] Get:105 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 liblapack3 amd64 3.9.0-3 [2151 kB] Get:106 http://ftpmaster.internal/ubuntu groovy/universe amd64 libarpack2 amd64 3.7.0-3 [92.8 kB] Get:107 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libsuitesparseconfig5 amd64 1:5.8.1+dfsg-2 [10.0 kB] Get:108 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libamd2 amd64 1:5.8.1+dfsg-2 [20.2 kB] Get:109 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libcamd2 amd64 1:5.8.1+dfsg-2 [21.6 kB] Get:110 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libccolamd2 amd64 1:5.8.1+dfsg-2 [23.5 kB] Get:111 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libcolamd2 amd64 1:5.8.1+dfsg-2 [16.9 kB] Get:112 http://ftpmaster.internal/ubuntu groovy/main amd64 libmetis5 amd64 5.1.0.dfsg-7 [165 kB] Get:113 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libcholmod3 amd64 1:5.8.1+dfsg-2 [323 kB] Get:114 http://ftpmaster.internal/ubuntu groovy/main amd64 libbrotli1 amd64 1.0.7-7 [270 kB] Get:115 http://ftpmaster.internal/ubuntu groovy/main amd64 libroken18-heimdal amd64 7.7.0+dfsg-2 [41.8 kB] Get:116 http://ftpmaster.internal/ubuntu groovy/main amd64 libasn1-8-heimdal amd64 7.7.0+dfsg-2 [181 kB] Get:117 http://ftpmaster.internal/ubuntu groovy/main amd64 libheimbase1-heimdal amd64 7.7.0+dfsg-2 [29.7 kB] Get:118 http://ftpmaster.internal/ubuntu groovy/main amd64 libhcrypto4-heimdal amd64 7.7.0+dfsg-2 [88.0 kB] Get:119 http://ftpmaster.internal/ubuntu groovy/main amd64 libwind0-heimdal amd64 7.7.0+dfsg-2 [47.6 kB] Get:120 http://ftpmaster.internal/ubuntu groovy/main amd64 libhx509-5-heimdal amd64 7.7.0+dfsg-2 [107 kB] Get:121 http://ftpmaster.internal/ubuntu groovy/main amd64 libkrb5-26-heimdal amd64 7.7.0+dfsg-2 [207 kB] Get:122 http://ftpmaster.internal/ubuntu groovy/main amd64 libheimntlm0-heimdal amd64 7.7.0+dfsg-2 [15.1 kB] Get:123 http://ftpmaster.internal/ubuntu groovy/main amd64 libgssapi3-heimdal amd64 7.7.0+dfsg-2 [96.5 kB] Get:124 http://ftpmaster.internal/ubuntu groovy/main amd64 libsasl2-modules-db amd64 2.1.27+dfsg-2 [14.9 kB] Get:125 http://ftpmaster.internal/ubuntu groovy/main amd64 libsasl2-2 amd64 2.1.27+dfsg-2 [49.3 kB] Get:126 http://ftpmaster.internal/ubuntu groovy/main amd64 libldap-common all 2.4.50+dfsg-1ubuntu3 [16.9 kB] Get:127 http://ftpmaster.internal/ubuntu groovy/main amd64 libldap-2.4-2 amd64 2.4.50+dfsg-1ubuntu3 [155 kB] Get:128 http://ftpmaster.internal/ubuntu groovy/main amd64 libnghttp2-14 amd64 1.41.0-2 [66.3 kB] Get:129 http://ftpmaster.internal/ubuntu groovy/main amd64 librtmp1 amd64 2.4+20151223.gitfa8646d.1-2build2 [55.0 kB] Get:130 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libssh-4 amd64 0.9.4-1ubuntu2 [171 kB] Get:131 http://ftpmaster.internal/ubuntu groovy/main amd64 libcurl3-gnutls amd64 7.68.0-1ubuntu4 [231 kB] Get:132 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libcxsparse3 amd64 1:5.8.1+dfsg-2 [64.9 kB] Get:133 http://ftpmaster.internal/ubuntu groovy/main amd64 libfftw3-double3 amd64 3.3.8-2ubuntu6 [727 kB] Get:134 http://ftpmaster.internal/ubuntu groovy/main amd64 libfftw3-single3 amd64 3.3.8-2ubuntu6 [756 kB] Get:135 http://ftpmaster.internal/ubuntu groovy/main amd64 libfreetype6 amd64 2.10.2+dfsg-3 [348 kB] Get:136 http://ftpmaster.internal/ubuntu groovy/main amd64 fonts-dejavu-core all 2.37-2 [1041 kB] Get:137 http://ftpmaster.internal/ubuntu groovy/main amd64 fontconfig-config all 2.13.1-2ubuntu3 [28.8 kB] Get:138 http://ftpmaster.internal/ubuntu groovy/main amd64 libfontconfig1 amd64 2.13.1-2ubuntu3 [114 kB] Get:139 http://ftpmaster.internal/ubuntu groovy/main amd64 libglvnd0 amd64 1.3.1-1ubuntu1 [53.5 kB] Get:140 http://ftpmaster.internal/ubuntu groovy/main amd64 libglapi-mesa amd64 20.1.4-1 [26.7 kB] Get:141 http://ftpmaster.internal/ubuntu groovy/main amd64 libx11-xcb1 amd64 2:1.6.9-2ubuntu1 [9156 B] Get:142 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-dri2-0 amd64 1.14-2 [6920 B] Get:143 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-dri3-0 amd64 1.14-2 [6552 B] Get:144 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-glx0 amd64 1.14-2 [22.1 kB] Get:145 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-present0 amd64 1.14-2 [5560 B] Get:146 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-sync1 amd64 1.14-2 [8884 B] Get:147 http://ftpmaster.internal/ubuntu groovy/main amd64 libxdamage1 amd64 1:1.1.5-2 [6996 B] Get:148 http://ftpmaster.internal/ubuntu groovy/main amd64 libxfixes3 amd64 1:5.0.3-2 [10.9 kB] Get:149 http://ftpmaster.internal/ubuntu groovy/main amd64 libxshmfence1 amd64 1.3-1 [5028 B] Get:150 http://ftpmaster.internal/ubuntu groovy/main amd64 libxxf86vm1 amd64 1:1.1.4-1build1 [10.2 kB] Get:151 http://ftpmaster.internal/ubuntu groovy/main amd64 libdrm-amdgpu1 amd64 2.4.102-1 [18.4 kB] Get:152 http://ftpmaster.internal/ubuntu groovy/main amd64 libpciaccess0 amd64 0.16-0ubuntu1 [17.9 kB] Get:153 http://ftpmaster.internal/ubuntu groovy/main amd64 libdrm-intel1 amd64 2.4.102-1 [60.2 kB] Get:154 http://ftpmaster.internal/ubuntu groovy/main amd64 libdrm-nouveau2 amd64 2.4.102-1 [16.4 kB] Get:155 http://ftpmaster.internal/ubuntu groovy/main amd64 libdrm-radeon1 amd64 2.4.102-1 [19.7 kB] Get:156 http://ftpmaster.internal/ubuntu groovy/main amd64 libllvm10 amd64 1:10.0.1-1 [16.4 MB] Get:157 http://ftpmaster.internal/ubuntu groovy/main amd64 libsensors-config all 1:3.6.0-2ubuntu1 [6092 B] Get:158 http://ftpmaster.internal/ubuntu groovy/main amd64 libsensors5 amd64 1:3.6.0-2ubuntu1 [27.4 kB] Get:159 http://ftpmaster.internal/ubuntu groovy/main amd64 libvulkan1 amd64 1.2.141.0-1 [98.0 kB] Get:160 http://ftpmaster.internal/ubuntu groovy/main amd64 libgl1-mesa-dri amd64 20.1.4-1 [9504 kB] Get:161 http://ftpmaster.internal/ubuntu groovy/main amd64 libglx-mesa0 amd64 20.1.4-1 [142 kB] Get:162 http://ftpmaster.internal/ubuntu groovy/main amd64 libglx0 amd64 1.3.1-1ubuntu1 [32.6 kB] Get:163 http://ftpmaster.internal/ubuntu groovy/main amd64 libgl1 amd64 1.3.1-1ubuntu1 [87.2 kB] Get:164 http://ftpmaster.internal/ubuntu groovy/universe amd64 libgl2ps1.4 amd64 1.4.2+dfsg1-1 [38.6 kB] Get:165 http://ftpmaster.internal/ubuntu groovy/main amd64 libglu1-mesa amd64 9.0.1-1build1 [168 kB] Get:166 http://ftpmaster.internal/ubuntu groovy/main amd64 libjbig0 amd64 2.1-3.1build1 [26.7 kB] Get:167 http://ftpmaster.internal/ubuntu groovy/main amd64 libjpeg-turbo8 amd64 2.0.3-0ubuntu2 [118 kB] Get:168 http://ftpmaster.internal/ubuntu groovy/main amd64 libjpeg8 amd64 8c-2ubuntu8 [2194 B] Get:169 http://ftpmaster.internal/ubuntu groovy/main amd64 libwebp6 amd64 0.6.1-2 [185 kB] Get:170 http://ftpmaster.internal/ubuntu groovy/main amd64 libtiff5 amd64 4.1.0+git191117-2build1 [161 kB] Get:171 http://ftpmaster.internal/ubuntu groovy/main amd64 liblcms2-2 amd64 2.9-4 [140 kB] Get:172 http://ftpmaster.internal/ubuntu groovy/main amd64 libwebpmux3 amd64 0.6.1-2 [19.6 kB] Get:173 http://ftpmaster.internal/ubuntu groovy/main amd64 libwmf0.2-7 amd64 0.2.8.4-17ubuntu1 [149 kB] Get:174 http://ftpmaster.internal/ubuntu groovy/universe amd64 libgraphicsmagick-q16-3 amd64 1.4+really1.3.35+hg16297-1 [1136 kB] Get:175 http://ftpmaster.internal/ubuntu groovy/universe amd64 libgraphicsmagick++-q16-12 amd64 1.4+really1.3.35+hg16297-1 [104 kB] Get:176 http://ftpmaster.internal/ubuntu groovy/universe amd64 libaec0 amd64 1.0.4-1 [19.1 kB] Get:177 http://ftpmaster.internal/ubuntu groovy/universe amd64 libsz2 amd64 1.0.4-1 [5188 B] Get:178 http://ftpmaster.internal/ubuntu groovy/universe amd64 libhdf5-103-1 amd64 1.10.6+repack-2 [1155 kB] Get:179 http://ftpmaster.internal/ubuntu groovy/universe amd64 libqrupdate1 amd64 1.1.2-4 [36.8 kB] Get:180 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libumfpack5 amd64 1:5.8.1+dfsg-2 [229 kB] Get:181 http://ftpmaster.internal/ubuntu groovy/universe amd64 liboctave7 amd64 5.2.0-3build1 [7499 kB] Get:182 http://ftpmaster.internal/ubuntu groovy/main amd64 libxrender1 amd64 1:0.9.10-1 [18.7 kB] Get:183 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcursor1 amd64 1:1.2.0-2 [20.1 kB] Get:184 http://ftpmaster.internal/ubuntu groovy/main amd64 libxft2 amd64 2.3.3-0ubuntu1 [39.2 kB] Get:185 http://ftpmaster.internal/ubuntu groovy/main amd64 libxinerama1 amd64 2:1.1.4-2 [6904 B] Get:186 http://ftpmaster.internal/ubuntu groovy/universe amd64 libfltk1.3 amd64 1.3.5-1 [549 kB] Get:187 http://ftpmaster.internal/ubuntu groovy/universe amd64 libfltk-gl1.3 amd64 1.3.5-1 [39.3 kB] Get:188 http://ftpmaster.internal/ubuntu groovy/main amd64 libltdl7 amd64 2.4.6-14 [38.5 kB] Get:189 http://ftpmaster.internal/ubuntu groovy/universe amd64 libglpk40 amd64 4.65-2 [378 kB] Get:190 http://ftpmaster.internal/ubuntu groovy/main amd64 libasound2-data all 1.2.2-2.3ubuntu1 [19.1 kB] Get:191 http://ftpmaster.internal/ubuntu groovy/main amd64 libasound2 amd64 1.2.2-2.3ubuntu1 [329 kB] Get:192 http://ftpmaster.internal/ubuntu groovy/main amd64 libsamplerate0 amd64 0.1.9-2 [939 kB] Get:193 http://ftpmaster.internal/ubuntu groovy/main amd64 libjack-jackd2-0 amd64 1.9.14-0ubuntu2 [255 kB] Get:194 http://ftpmaster.internal/ubuntu groovy/universe amd64 libportaudio2 amd64 19.6.0-1build1 [65.4 kB] Get:195 http://ftpmaster.internal/ubuntu groovy/universe amd64 libqhull8.0 amd64 2020.1-2 [182 kB] Get:196 http://ftpmaster.internal/ubuntu groovy/universe amd64 libqscintilla2-qt5-l10n all 2.11.2+dfsg-6 [41.3 kB] Get:197 http://ftpmaster.internal/ubuntu groovy-proposed/universe amd64 libdouble-conversion3 amd64 3.1.5-5build1 [37.6 kB] Get:198 http://ftpmaster.internal/ubuntu groovy/main amd64 libpcre2-16-0 amd64 10.34-7 [181 kB] Get:199 http://ftpmaster.internal/ubuntu groovy-proposed/universe amd64 libqt5core5a amd64 5.14.2+dfsg-5 [1759 kB] Get:200 http://ftpmaster.internal/ubuntu groovy/main amd64 fontconfig amd64 2.13.1-2ubuntu3 [171 kB] Get:201 http://ftpmaster.internal/ubuntu groovy/main amd64 libwayland-server0 amd64 1.18.0-1 [31.6 kB] Get:202 http://ftpmaster.internal/ubuntu groovy/main amd64 libgbm1 amd64 20.1.4-1 [32.0 kB] Get:203 http://ftpmaster.internal/ubuntu groovy/main amd64 libwayland-client0 amd64 1.18.0-1 [23.9 kB] Get:204 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-xfixes0 amd64 1.14-2 [9296 B] Get:205 http://ftpmaster.internal/ubuntu groovy/main amd64 libegl-mesa0 amd64 20.1.4-1 [99.2 kB] Get:206 http://ftpmaster.internal/ubuntu groovy/main amd64 libegl1 amd64 1.3.1-1ubuntu1 [32.0 kB] Get:207 http://ftpmaster.internal/ubuntu groovy/main amd64 libgraphite2-3 amd64 1.3.14-1 [73.7 kB] Get:208 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libharfbuzz0b amd64 2.6.4-1ubuntu5 [331 kB] Get:209 http://ftpmaster.internal/ubuntu groovy/main amd64 x11-common all 1:7.7+19ubuntu14 [22.3 kB] Get:210 http://ftpmaster.internal/ubuntu groovy/main amd64 libice6 amd64 2:1.0.10-0ubuntu1 [41.0 kB] Get:211 http://ftpmaster.internal/ubuntu groovy/main amd64 libevdev2 amd64 1.9.1+dfsg-1 [31.9 kB] Get:212 http://ftpmaster.internal/ubuntu groovy/main amd64 libmtdev1 amd64 1.1.6-1 [14.0 kB] Get:213 http://ftpmaster.internal/ubuntu groovy/main amd64 libgudev-1.0-0 amd64 1:233-1 [14.0 kB] Get:214 http://ftpmaster.internal/ubuntu groovy/main amd64 libwacom-common all 1.3-2ubuntu1 [44.3 kB] Get:215 http://ftpmaster.internal/ubuntu groovy/main amd64 libwacom2 amd64 1.3-2ubuntu1 [19.7 kB] Get:216 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libinput-bin amd64 1.16.0-1 [19.3 kB] Get:217 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libinput10 amd64 1.16.0-1 [113 kB] Get:218 http://ftpmaster.internal/ubuntu groovy/universe amd64 libmd4c0 amd64 0.4.4-1 [40.1 kB] Get:219 http://ftpmaster.internal/ubuntu groovy-proposed/universe amd64 libqt5dbus5 amd64 5.14.2+dfsg-5 [191 kB] Get:220 http://ftpmaster.internal/ubuntu groovy-proposed/universe amd64 libqt5network5 amd64 5.14.2+dfsg-5 [618 kB] Get:221 http://ftpmaster.internal/ubuntu groovy/main amd64 libsm6 amd64 2:1.2.3-1 [16.1 kB] Get:222 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-icccm4 amd64 0.4.1-1.1 [10.8 kB] Get:223 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-shm0 amd64 1.14-2 [5584 B] Get:224 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-util1 amd64 0.4.0-0ubuntu3 [11.2 kB] Get:225 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-image0 amd64 0.4.0-1build1 [12.3 kB] Get:226 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-keysyms1 amd64 0.4.0-1build1 [8452 B] Get:227 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-randr0 amd64 1.14-2 [16.3 kB] Get:228 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-render0 amd64 1.14-2 [14.8 kB] Get:229 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-render-util0 amd64 0.3.9-1build1 [9912 B] Get:230 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-shape0 amd64 1.14-2 [5928 B] Get:231 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-xinerama0 amd64 1.14-2 [5260 B] Get:232 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-xinput0 amd64 1.14-2 [29.3 kB] Get:233 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb-xkb1 amd64 1.14-2 [29.6 kB] Get:234 http://ftpmaster.internal/ubuntu groovy/main amd64 libxkbcommon0 amd64 0.10.0-1 [98.4 kB] Get:235 http://ftpmaster.internal/ubuntu groovy/main amd64 libxkbcommon-x11-0 amd64 0.10.0-1 [13.4 kB] Get:236 http://ftpmaster.internal/ubuntu groovy-proposed/universe amd64 libqt5gui5 amd64 5.14.2+dfsg-5 [3123 kB] Get:237 http://ftpmaster.internal/ubuntu groovy/main amd64 libavahi-common-data amd64 0.8-3ubuntu1 [25.1 kB] Get:238 http://ftpmaster.internal/ubuntu groovy/main amd64 libavahi-common3 amd64 0.8-3ubuntu1 [22.0 kB] Get:239 http://ftpmaster.internal/ubuntu groovy/main amd64 libavahi-client3 amd64 0.8-3ubuntu1 [25.7 kB] Get:240 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libcups2 amd64 2.3.3-2 [232 kB] Get:241 http://ftpmaster.internal/ubuntu groovy-proposed/universe amd64 libqt5widgets5 amd64 5.14.2+dfsg-5 [2308 kB] Get:242 http://ftpmaster.internal/ubuntu groovy-proposed/universe amd64 libqt5printsupport5 amd64 5.14.2+dfsg-5 [185 kB] Get:243 http://ftpmaster.internal/ubuntu groovy/universe amd64 libqscintilla2-qt5-15 amd64 2.11.2+dfsg-6 [1238 kB] Get:244 http://ftpmaster.internal/ubuntu groovy-proposed/universe amd64 libqt5sql5 amd64 5.14.2+dfsg-5 [107 kB] Get:245 http://ftpmaster.internal/ubuntu groovy/universe amd64 libqt5help5 amd64 5.14.2-2 [144 kB] Get:246 http://ftpmaster.internal/ubuntu groovy-proposed/universe amd64 libqt5xml5 amd64 5.14.2+dfsg-5 [104 kB] Get:247 http://ftpmaster.internal/ubuntu groovy/main amd64 libogg0 amd64 1.3.4-0ubuntu1 [24.0 kB] Get:248 http://ftpmaster.internal/ubuntu groovy/main amd64 libflac8 amd64 1.3.3-1build1 [103 kB] Get:249 http://ftpmaster.internal/ubuntu groovy/main amd64 libvorbis0a amd64 1.3.6-2ubuntu2 [86.6 kB] Get:250 http://ftpmaster.internal/ubuntu groovy/main amd64 libvorbisenc2 amd64 1.3.6-2ubuntu2 [70.7 kB] Get:251 http://ftpmaster.internal/ubuntu groovy/main amd64 libsndfile1 amd64 1.0.28-8 [170 kB] Get:252 http://ftpmaster.internal/ubuntu groovy/universe amd64 libtext-unidecode-perl all 1.30-1 [99.0 kB] Get:253 http://ftpmaster.internal/ubuntu groovy/main amd64 libxml-namespacesupport-perl all 1.12-1 [13.2 kB] Get:254 http://ftpmaster.internal/ubuntu groovy/main amd64 libxml-sax-base-perl all 1.09-1 [18.8 kB] Get:255 http://ftpmaster.internal/ubuntu groovy/main amd64 libxml-sax-perl all 1.02+dfsg-1 [56.2 kB] Get:256 http://ftpmaster.internal/ubuntu groovy/main amd64 libxml-libxml-perl amd64 2.0134+dfsg-2 [318 kB] Get:257 http://ftpmaster.internal/ubuntu groovy/universe amd64 texinfo amd64 6.7.0.dfsg.2-5 [1375 kB] Get:258 http://ftpmaster.internal/ubuntu groovy/universe amd64 octave-common all 5.2.0-3build1 [5131 kB] Get:259 http://ftpmaster.internal/ubuntu groovy/universe amd64 octave amd64 5.2.0-3build1 [1960 kB] Get:260 http://ftpmaster.internal/ubuntu groovy/main amd64 libncurses-dev amd64 6.2-1 [339 kB] Get:261 http://ftpmaster.internal/ubuntu groovy/main amd64 libreadline-dev amd64 8.0-4 [141 kB] Get:262 http://ftpmaster.internal/ubuntu groovy/universe amd64 libhdf5-fortran-102 amd64 1.10.6+repack-2 [74.1 kB] Get:263 http://ftpmaster.internal/ubuntu groovy/universe amd64 libhdf5-hl-100 amd64 1.10.6+repack-2 [54.0 kB] Get:264 http://ftpmaster.internal/ubuntu groovy/universe amd64 libhdf5-hl-fortran-100 amd64 1.10.6+repack-2 [27.8 kB] Get:265 http://ftpmaster.internal/ubuntu groovy/universe amd64 libhdf5-cpp-103-1 amd64 1.10.6+repack-2 [117 kB] Get:266 http://ftpmaster.internal/ubuntu groovy/universe amd64 libhdf5-hl-cpp-100 amd64 1.10.6+repack-2 [9976 B] Get:267 http://ftpmaster.internal/ubuntu groovy/main amd64 zlib1g-dev amd64 1:1.2.11.dfsg-2ubuntu1 [156 kB] Get:268 http://ftpmaster.internal/ubuntu groovy/main amd64 libjpeg-turbo8-dev amd64 2.0.3-0ubuntu2 [238 kB] Get:269 http://ftpmaster.internal/ubuntu groovy/main amd64 libjpeg8-dev amd64 8c-2ubuntu8 [1552 B] Get:270 http://ftpmaster.internal/ubuntu groovy/main amd64 libjpeg-dev amd64 8c-2ubuntu8 [1546 B] Get:271 http://ftpmaster.internal/ubuntu groovy/universe amd64 libaec-dev amd64 1.0.4-1 [16.9 kB] Get:272 http://ftpmaster.internal/ubuntu groovy/universe amd64 hdf5-helpers amd64 1.10.6+repack-2 [13.7 kB] Get:273 http://ftpmaster.internal/ubuntu groovy/universe amd64 libhdf5-dev amd64 1.10.6+repack-2 [2427 kB] Get:274 http://ftpmaster.internal/ubuntu groovy/main amd64 xorg-sgml-doctools all 1:1.11-1 [12.9 kB] Get:275 http://ftpmaster.internal/ubuntu groovy/main amd64 x11proto-dev all 2019.2-1ubuntu1 [594 kB] Get:276 http://ftpmaster.internal/ubuntu groovy/main amd64 x11proto-core-dev all 2019.2-1ubuntu1 [2620 B] Get:277 http://ftpmaster.internal/ubuntu groovy/main amd64 libxau-dev amd64 1:1.0.9-0ubuntu1 [9552 B] Get:278 http://ftpmaster.internal/ubuntu groovy/main amd64 libxdmcp-dev amd64 1:1.1.3-0ubuntu1 [25.3 kB] Get:279 http://ftpmaster.internal/ubuntu groovy/main amd64 xtrans-dev all 1.4.0-1 [68.9 kB] Get:280 http://ftpmaster.internal/ubuntu groovy/main amd64 libpthread-stubs0-dev amd64 0.4-1 [5384 B] Get:281 http://ftpmaster.internal/ubuntu groovy/main amd64 libxcb1-dev amd64 1.14-2 [80.5 kB] Get:282 http://ftpmaster.internal/ubuntu groovy/main amd64 libx11-dev amd64 2:1.6.9-2ubuntu1 [646 kB] Get:283 http://ftpmaster.internal/ubuntu groovy/main amd64 libglx-dev amd64 1.3.1-1ubuntu1 [14.0 kB] Get:284 http://ftpmaster.internal/ubuntu groovy/main amd64 libgl-dev amd64 1.3.1-1ubuntu1 [97.9 kB] Get:285 http://ftpmaster.internal/ubuntu groovy/main amd64 libegl-dev amd64 1.3.1-1ubuntu1 [16.9 kB] Get:286 http://ftpmaster.internal/ubuntu groovy/main amd64 libgles1 amd64 1.3.1-1ubuntu1 [10.4 kB] Get:287 http://ftpmaster.internal/ubuntu groovy/main amd64 libgles2 amd64 1.3.1-1ubuntu1 [15.6 kB] Get:288 http://ftpmaster.internal/ubuntu groovy/main amd64 libgles-dev amd64 1.3.1-1ubuntu1 [48.0 kB] Get:289 http://ftpmaster.internal/ubuntu groovy/main amd64 libopengl0 amd64 1.3.1-1ubuntu1 [29.3 kB] Get:290 http://ftpmaster.internal/ubuntu groovy/main amd64 libopengl-dev amd64 1.3.1-1ubuntu1 [3580 B] Get:291 http://ftpmaster.internal/ubuntu groovy/main amd64 libglvnd-dev amd64 1.3.1-1ubuntu1 [11.6 kB] Get:292 http://ftpmaster.internal/ubuntu groovy/main amd64 libgl1-mesa-dev amd64 20.1.4-1 [6324 B] Get:293 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libblas-dev amd64 3.9.0-3 [147 kB] Get:294 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 liblapack-dev amd64 3.9.0-3 [4233 kB] Get:295 http://ftpmaster.internal/ubuntu groovy/main amd64 libfftw3-long3 amd64 3.3.8-2ubuntu6 [313 kB] Get:296 http://ftpmaster.internal/ubuntu groovy/main amd64 libfftw3-quad3 amd64 3.3.8-2ubuntu6 [673 kB] Get:297 http://ftpmaster.internal/ubuntu groovy/main amd64 libfftw3-bin amd64 3.3.8-2ubuntu6 [31.8 kB] Get:298 http://ftpmaster.internal/ubuntu groovy/main amd64 libfftw3-dev amd64 3.3.8-2ubuntu6 [2212 kB] Get:299 http://ftpmaster.internal/ubuntu groovy/main amd64 libgfortran-10-dev amd64 10.2.0-3ubuntu1 [779 kB] Get:300 http://ftpmaster.internal/ubuntu groovy/main amd64 gfortran-10 amd64 10.2.0-3ubuntu1 [8502 kB] Get:301 http://ftpmaster.internal/ubuntu groovy/main amd64 gfortran amd64 4:10.1.0-1ubuntu1 [1376 B] Get:302 http://ftpmaster.internal/ubuntu groovy/universe amd64 liboctave-dev amd64 5.2.0-3build1 [470 kB] Get:303 http://ftpmaster.internal/ubuntu groovy/main amd64 libapt-pkg-perl amd64 0.1.36build3 [68.5 kB] Get:304 http://ftpmaster.internal/ubuntu groovy/main amd64 libarray-intspan-perl all 2.004-1 [24.5 kB] Get:305 http://ftpmaster.internal/ubuntu groovy/main amd64 libyaml-libyaml-perl amd64 0.82+repack-1 [28.2 kB] Get:306 http://ftpmaster.internal/ubuntu groovy/universe amd64 libconfig-model-backend-yaml-perl all 2.133-2 [10.6 kB] Get:307 http://ftpmaster.internal/ubuntu groovy/universe amd64 libexporter-lite-perl all 0.08-1 [9916 B] Get:308 http://ftpmaster.internal/ubuntu groovy/universe amd64 libalgorithm-c3-perl all 0.10-1 [11.3 kB] Get:309 http://ftpmaster.internal/ubuntu groovy/universe amd64 libclass-c3-perl all 0.34-1 [18.9 kB] Get:310 http://ftpmaster.internal/ubuntu groovy/universe amd64 libmro-compat-perl all 0.13-1 [11.2 kB] Get:311 http://ftpmaster.internal/ubuntu groovy/universe amd64 libdata-section-perl all 0.200007-1 [11.8 kB] Get:312 http://ftpmaster.internal/ubuntu groovy/universe amd64 libtext-template-perl all 1.59-1 [48.5 kB] Get:313 http://ftpmaster.internal/ubuntu groovy/universe amd64 libsoftware-license-perl all 0.103014-2 [108 kB] Get:314 http://ftpmaster.internal/ubuntu groovy/main amd64 libyaml-tiny-perl all 1.73-1 [25.2 kB] Get:315 http://ftpmaster.internal/ubuntu groovy/universe amd64 libsoftware-licensemoreutils-perl all 1.004-1 [19.7 kB] Get:316 http://ftpmaster.internal/ubuntu groovy/main amd64 libsort-versions-perl all 1.62-1 [9294 B] Get:317 http://ftpmaster.internal/ubuntu groovy/universe amd64 libtext-reform-perl all 1.20-3 [36.1 kB] Get:318 http://ftpmaster.internal/ubuntu groovy/universe amd64 libtext-autoformat-perl all 1.750000-1 [30.2 kB] Get:319 http://ftpmaster.internal/ubuntu groovy/universe amd64 libtext-levenshtein-damerau-perl all 0.41-1 [11.7 kB] Get:320 http://ftpmaster.internal/ubuntu groovy/main amd64 liburi-perl all 1.76-2 [77.5 kB] Get:321 http://ftpmaster.internal/ubuntu groovy/main amd64 libencode-locale-perl all 1.05-1 [12.3 kB] Get:322 http://ftpmaster.internal/ubuntu groovy/main amd64 libtimedate-perl all 2.3300-1 [33.9 kB] Get:323 http://ftpmaster.internal/ubuntu groovy/main amd64 libhttp-date-perl all 6.05-1 [9920 B] Get:324 http://ftpmaster.internal/ubuntu groovy/main amd64 libfile-listing-perl all 6.04-1 [9774 B] Get:325 http://ftpmaster.internal/ubuntu groovy/main amd64 libhtml-tagset-perl all 3.20-4 [12.5 kB] Get:326 http://ftpmaster.internal/ubuntu groovy/main amd64 libhtml-parser-perl amd64 3.72-5 [86.3 kB] Get:327 http://ftpmaster.internal/ubuntu groovy/main amd64 libhtml-tree-perl all 5.07-2 [200 kB] Get:328 http://ftpmaster.internal/ubuntu groovy/main amd64 libio-html-perl all 1.001-1 [14.9 kB] Get:329 http://ftpmaster.internal/ubuntu groovy/main amd64 liblwp-mediatypes-perl all 6.04-1 [19.5 kB] Get:330 http://ftpmaster.internal/ubuntu groovy/main amd64 libhttp-message-perl all 6.25-1 [75.9 kB] Get:331 http://ftpmaster.internal/ubuntu groovy/main amd64 libhttp-cookies-perl all 6.08-1 [18.3 kB] Get:332 http://ftpmaster.internal/ubuntu groovy/main amd64 libhttp-negotiate-perl all 6.01-1 [12.5 kB] Get:333 http://ftpmaster.internal/ubuntu groovy/main amd64 perl-openssl-defaults amd64 5 [7404 B] Get:334 http://ftpmaster.internal/ubuntu groovy/main amd64 libnet-ssleay-perl amd64 1.88-2ubuntu1 [291 kB] Get:335 http://ftpmaster.internal/ubuntu groovy/main amd64 libio-socket-ssl-perl all 2.067-1 [176 kB] Get:336 http://ftpmaster.internal/ubuntu groovy/main amd64 libnet-http-perl all 6.19-1 [22.8 kB] Get:337 http://ftpmaster.internal/ubuntu groovy/main amd64 liblwp-protocol-https-perl all 6.09-1 [10.9 kB] Get:338 http://ftpmaster.internal/ubuntu groovy/main amd64 libwww-robotrules-perl all 6.02-1 [12.6 kB] Get:339 http://ftpmaster.internal/ubuntu groovy/main amd64 libwww-perl all 6.46-1 [140 kB] Get:340 http://ftpmaster.internal/ubuntu groovy/main amd64 liblist-someutils-perl all 0.58-1 [29.7 kB] Get:341 http://ftpmaster.internal/ubuntu groovy/main amd64 liblog-any-perl all 1.708-1 [67.8 kB] Get:342 http://ftpmaster.internal/ubuntu groovy/main amd64 liblog-any-adapter-screen-perl all 0.140-1 [12.1 kB] Get:343 http://ftpmaster.internal/ubuntu groovy/main amd64 libclass-method-modifiers-perl all 2.13-1 [16.2 kB] Get:344 http://ftpmaster.internal/ubuntu groovy/main amd64 libimport-into-perl all 1.002005-1 [11.0 kB] Get:345 http://ftpmaster.internal/ubuntu groovy/main amd64 librole-tiny-perl all 2.001004-1 [16.5 kB] Get:346 http://ftpmaster.internal/ubuntu groovy/main amd64 libstrictures-perl all 2.000006-1 [16.3 kB] Get:347 http://ftpmaster.internal/ubuntu groovy/main amd64 libsub-quote-perl all 2.006006-1 [19.5 kB] Get:348 http://ftpmaster.internal/ubuntu groovy/main amd64 libmoo-perl all 2.004000-1 [46.9 kB] Get:349 http://ftpmaster.internal/ubuntu groovy/main amd64 libsub-exporter-progressive-perl all 0.001013-1 [6784 B] Get:350 http://ftpmaster.internal/ubuntu groovy/main amd64 libvariable-magic-perl amd64 0.62-1build2 [34.4 kB] Get:351 http://ftpmaster.internal/ubuntu groovy/main amd64 libb-hooks-endofscope-perl all 0.24-1 [16.8 kB] Get:352 http://ftpmaster.internal/ubuntu groovy/main amd64 libsub-identify-perl amd64 0.14-1build2 [10.7 kB] Get:353 http://ftpmaster.internal/ubuntu groovy/main amd64 libsub-name-perl amd64 0.26-1 [11.5 kB] Get:354 http://ftpmaster.internal/ubuntu groovy/main amd64 libnamespace-clean-perl all 0.27-1 [13.6 kB] Get:355 http://ftpmaster.internal/ubuntu groovy/main amd64 libnamespace-autoclean-perl all 0.29-1 [12.5 kB] Get:356 http://ftpmaster.internal/ubuntu groovy/main amd64 libhash-fieldhash-perl amd64 0.15-1build2 [16.9 kB] Get:357 http://ftpmaster.internal/ubuntu groovy/main amd64 libobject-id-perl all 0.1.2-2ubuntu1 [15.9 kB] Get:358 http://ftpmaster.internal/ubuntu groovy/main amd64 libtype-tiny-perl all 1.010002-1 [309 kB] Get:359 http://ftpmaster.internal/ubuntu groovy/main amd64 libmoox-struct-perl all 0.020-1 [23.7 kB] Get:360 http://ftpmaster.internal/ubuntu groovy/main amd64 libnumber-compare-perl all 0.03-1 [7318 B] Get:361 http://ftpmaster.internal/ubuntu groovy/main amd64 libtext-glob-perl all 0.11-1 [7992 B] Get:362 http://ftpmaster.internal/ubuntu groovy/main amd64 libpath-iterator-rule-perl all 1.014-1 [49.5 kB] Get:363 http://ftpmaster.internal/ubuntu groovy/main amd64 libpod-constants-perl all 0.19-2 [16.3 kB] Get:364 http://ftpmaster.internal/ubuntu groovy/main amd64 libre2-8 amd64 20200801+dfsg-1 [167 kB] Get:365 http://ftpmaster.internal/ubuntu groovy/main amd64 libre-engine-re2-perl amd64 0.13-5build3 [16.8 kB] Get:366 http://ftpmaster.internal/ubuntu groovy/main amd64 libregexp-pattern-license-perl all 3.4.0-1 [49.4 kB] Get:367 http://ftpmaster.internal/ubuntu groovy/main amd64 libregexp-pattern-perl all 0.2.14-1 [17.6 kB] Get:368 http://ftpmaster.internal/ubuntu groovy/main amd64 libsort-key-perl amd64 1.33-2build2 [35.4 kB] Get:369 http://ftpmaster.internal/ubuntu groovy/main amd64 libnumber-range-perl all 0.12-1 [8556 B] Get:370 http://ftpmaster.internal/ubuntu groovy/main amd64 libstring-copyright-perl all 0.003006-1 [9608 B] Get:371 http://ftpmaster.internal/ubuntu groovy/main amd64 libstring-escape-perl all 2010.002-2 [17.6 kB] Get:372 http://ftpmaster.internal/ubuntu groovy/main amd64 licensecheck all 3.0.47-1 [37.0 kB] Get:373 http://ftpmaster.internal/ubuntu groovy/main amd64 diffstat amd64 1.63-1 [27.2 kB] Get:374 http://ftpmaster.internal/ubuntu groovy/main amd64 libclass-xsaccessor-perl amd64 1.19-3build5 [33.5 kB] Get:375 http://ftpmaster.internal/ubuntu groovy/main amd64 libclone-perl amd64 0.45-1 [10.6 kB] Get:376 http://ftpmaster.internal/ubuntu groovy/main amd64 libconfig-tiny-perl all 2.24-1 [12.4 kB] Get:377 http://ftpmaster.internal/ubuntu groovy/main amd64 libcpanel-json-xs-perl amd64 4.19-1build1 [109 kB] Get:378 http://ftpmaster.internal/ubuntu groovy/main amd64 libaliased-perl all 0.34-1 [13.2 kB] Get:379 http://ftpmaster.internal/ubuntu groovy/main amd64 libclass-data-inheritable-perl all 0.08-3 [8084 B] Get:380 http://ftpmaster.internal/ubuntu groovy/main amd64 libdevel-stacktrace-perl all 2.0400-1 [22.7 kB] Get:381 http://ftpmaster.internal/ubuntu groovy/main amd64 libexception-class-perl all 1.44-1 [25.9 kB] Get:382 http://ftpmaster.internal/ubuntu groovy/main amd64 libiterator-perl all 0.03+ds1-1 [18.7 kB] Get:383 http://ftpmaster.internal/ubuntu groovy/main amd64 libiterator-util-perl all 0.02+ds1-1 [14.0 kB] Get:384 http://ftpmaster.internal/ubuntu groovy/main amd64 libdata-dpath-perl all 0.58-1 [38.8 kB] Get:385 http://ftpmaster.internal/ubuntu groovy/main amd64 libnet-domain-tld-perl all 1.75-1 [29.1 kB] Get:386 http://ftpmaster.internal/ubuntu groovy/main amd64 libdata-validate-domain-perl all 0.10-1 [11.0 kB] Get:387 http://ftpmaster.internal/ubuntu groovy/main amd64 libdevel-size-perl amd64 0.83-1build1 [20.0 kB] Get:388 http://ftpmaster.internal/ubuntu groovy/main amd64 libemail-address-xs-perl amd64 1.04-1build3 [27.3 kB] Get:389 http://ftpmaster.internal/ubuntu groovy/main amd64 libipc-system-simple-perl all 1.30-1 [23.2 kB] Get:390 http://ftpmaster.internal/ubuntu groovy/main amd64 libfile-basedir-perl all 0.08-1 [16.9 kB] Get:391 http://ftpmaster.internal/ubuntu groovy/main amd64 libfile-find-rule-perl all 0.34-1 [28.3 kB] Get:392 http://ftpmaster.internal/ubuntu groovy/main amd64 libio-string-perl all 1.08-3 [11.1 kB] Get:393 http://ftpmaster.internal/ubuntu groovy/main amd64 libfont-ttf-perl all 1.06-1 [313 kB] Get:394 http://ftpmaster.internal/ubuntu groovy/main amd64 libfuture-perl all 0.45-1 [78.5 kB] Get:395 http://ftpmaster.internal/ubuntu groovy/main amd64 libstruct-dumb-perl all 0.12-1 [12.0 kB] Get:396 http://ftpmaster.internal/ubuntu groovy/main amd64 libmetrics-any-perl all 0.06-1 [40.8 kB] Get:397 http://ftpmaster.internal/ubuntu groovy/main amd64 libtest-metrics-any-perl all 0.01-2 [6944 B] Get:398 http://ftpmaster.internal/ubuntu groovy/main amd64 libio-async-perl all 0.77-3 [257 kB] Get:399 http://ftpmaster.internal/ubuntu groovy/main amd64 liblinux-epoll-perl amd64 0.017-1 [16.0 kB] Get:400 http://ftpmaster.internal/ubuntu groovy/main amd64 libio-async-loop-epoll-perl all 0.21-1 [10.4 kB] Get:401 http://ftpmaster.internal/ubuntu groovy/universe amd64 libipc-run3-perl all 0.048-2 [31.4 kB] Get:402 http://ftpmaster.internal/ubuntu groovy/main amd64 libjson-maybexs-perl all 1.004002-1 [11.3 kB] Get:403 http://ftpmaster.internal/ubuntu groovy/main amd64 liblist-compare-perl all 0.53-1 [65.6 kB] Get:404 http://ftpmaster.internal/ubuntu groovy/main amd64 liblist-utilsby-perl all 0.11-1 [14.7 kB] Get:405 http://ftpmaster.internal/ubuntu groovy/main amd64 libmoox-aliases-perl all 0.001006-1 [7176 B] Get:406 http://ftpmaster.internal/ubuntu groovy/main amd64 libperlio-gzip-perl amd64 0.19-1build5 [14.6 kB] Get:407 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libsereal-decoder-perl amd64 4.017+ds-1 [103 kB] Get:408 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libsereal-encoder-perl amd64 4.017+ds-1 [104 kB] Get:409 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libtext-levenshteinxs-perl amd64 0.03-4build7 [8580 B] Get:410 http://ftpmaster.internal/ubuntu groovy/main amd64 libdata-messagepack-perl amd64 1.00-2ubuntu1 [33.2 kB] Get:411 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libtext-xslate-perl amd64 3.5.8-1build1 [183 kB] Get:412 http://ftpmaster.internal/ubuntu groovy/main amd64 libtime-duration-perl all 1.21-1 [13.1 kB] Get:413 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 libtime-moment-perl amd64 0.44-1build3 [69.9 kB] Get:414 http://ftpmaster.internal/ubuntu groovy/main amd64 libunicode-utf8-perl amd64 0.62-1build1 [18.1 kB] Get:415 http://ftpmaster.internal/ubuntu groovy/main amd64 libxml-writer-perl all 0.625-1 [24.9 kB] Get:416 http://ftpmaster.internal/ubuntu groovy/universe amd64 lzip amd64 1.21-7 [81.6 kB] Get:417 http://ftpmaster.internal/ubuntu groovy/main amd64 patchutils amd64 0.4.2-1 [75.5 kB] Get:418 http://ftpmaster.internal/ubuntu groovy/main amd64 t1utils amd64 1.41-4 [56.0 kB] Get:419 http://ftpmaster.internal/ubuntu groovy-proposed/main amd64 lintian all 2.86.0 [993 kB] Get:420 http://ftpmaster.internal/ubuntu groovy/universe amd64 libconfig-model-dpkg-perl all 2.138 [194 kB] Get:421 http://ftpmaster.internal/ubuntu groovy/main amd64 liberror-perl all 0.17029-1 [26.5 kB] Get:422 http://ftpmaster.internal/ubuntu groovy/universe amd64 libparse-debcontrol-perl all 2.005-4 [24.2 kB] Get:423 http://ftpmaster.internal/ubuntu groovy/main amd64 libconvert-binhex-perl all 1.125-1 [29.7 kB] Get:424 http://ftpmaster.internal/ubuntu groovy/main amd64 libnet-smtp-ssl-perl all 1.04-1 [5948 B] Get:425 http://ftpmaster.internal/ubuntu groovy/main amd64 libmailtools-perl all 2.21-1 [80.7 kB] Get:426 http://ftpmaster.internal/ubuntu groovy/main amd64 libmime-tools-perl all 5.509-1 [192 kB] Get:427 http://ftpmaster.internal/ubuntu groovy/universe amd64 aglfn all 1.7+git20191031.4036a9c-2 [30.6 kB] Get:428 http://ftpmaster.internal/ubuntu groovy/universe amd64 gnuplot-data all 5.2.8+dfsg1-2 [56.5 kB] Get:429 http://ftpmaster.internal/ubuntu groovy/main amd64 libpixman-1-0 amd64 0.38.4-0ubuntu1 [227 kB] Get:430 http://ftpmaster.internal/ubuntu groovy/main amd64 libcairo2 amd64 1.16.0-4ubuntu1 [583 kB] Get:431 http://ftpmaster.internal/ubuntu groovy/main amd64 libxpm4 amd64 1:3.5.12-1 [34.0 kB] Get:432 http://ftpmaster.internal/ubuntu groovy/main amd64 libgd3 amd64 2.3.0-2 [118 kB] Get:433 http://ftpmaster.internal/ubuntu groovy/main amd64 liblua5.3-0 amd64 5.3.3-1.1ubuntu2 [116 kB] Get:434 http://ftpmaster.internal/ubuntu groovy/main amd64 libthai-data all 0.1.28-3 [134 kB] Get:435 http://ftpmaster.internal/ubuntu groovy/main amd64 libdatrie1 amd64 0.2.12-3 [18.7 kB] Get:436 http://ftpmaster.internal/ubuntu groovy/main amd64 libthai0 amd64 0.1.28-3 [18.1 kB] Get:437 http://ftpmaster.internal/ubuntu groovy/main amd64 libpango-1.0-0 amd64 1.44.7-2ubuntu4 [162 kB] Get:438 http://ftpmaster.internal/ubuntu groovy/main amd64 libpangoft2-1.0-0 amd64 1.44.7-2ubuntu4 [34.9 kB] Get:439 http://ftpmaster.internal/ubuntu groovy/main amd64 libpangocairo-1.0-0 amd64 1.44.7-2ubuntu4 [24.8 kB] Get:440 http://ftpmaster.internal/ubuntu groovy/universe amd64 gnuplot-nox amd64 5.2.8+dfsg1-2 [807 kB] Get:441 http://ftpmaster.internal/ubuntu groovy/universe amd64 fonts-freefont-otf all 20120503-10 [3056 kB] Get:442 http://ftpmaster.internal/ubuntu groovy/universe amd64 dh-octave-autopkgtest all 0.7.6 [8016 B] Get:443 http://ftpmaster.internal/ubuntu groovy/universe amd64 dh-octave all 0.7.6 [19.2 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 128 MB in 3s (47.4 MB/s) Selecting previously unselected package bsdextrautils. 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Setting up libxcb-image0:amd64 (0.4.0-1build1) ... Setting up libio-async-perl (0.77-3) ... Setting up libllvm10:amd64 (1:10.0.1-1) ... Setting up libxcb-present0:amd64 (1.14-2) ... Setting up tex-common (6.15) ... update-language: texlive-base not installed and configured, doing nothing! Setting up libthai0:amd64 (0.1.28-3) ... Setting up libcamd2:amd64 (1:5.8.1+dfsg-2) ... Setting up libxdmcp-dev:amd64 (1:1.1.3-0ubuntu1) ... Setting up libwind0-heimdal:amd64 (7.7.0+dfsg-2) ... Setting up libxcb-xinerama0:amd64 (1.14-2) ... Setting up libtest-exception-perl (0.43-1) ... Setting up libglpk40:amd64 (4.65-2) ... Setting up libstring-copyright-perl (0.003006-1) ... Setting up libxcb-sync1:amd64 (1.14-2) ... Setting up x11proto-core-dev (2019.2-1ubuntu1) ... Setting up shared-mime-info (1.15-1) ... Setting up libxkbcommon-x11-0:amd64 (0.10.0-1) ... Setting up liblapack-dev:amd64 (3.9.0-3) ... 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 (1.17-10) ... Setting up gfortran-10 (10.2.0-3ubuntu1) ... Setting up libdata-optlist-perl (0.110-1) ... Setting up libcroco3:amd64 (0.6.13-1) ... Setting up libqt5core5a:amd64 (5.14.2+dfsg-5) ... Setting up libssh-4:amd64 (0.9.4-1ubuntu2) ... Setting up autoconf (2.69-11.1) ... Setting up libxml-libxml-perl (2.0134+dfsg-2) ... 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 libxcb-dri2-0:amd64 (1.14-2) ... Setting up dh-strip-nondeterminism (1.9.0-1) ... Setting up libwww-robotrules-perl (6.02-1) ... Setting up libjack-jackd2-0:amd64 (1.9.14-0ubuntu2) ... Setting up libdrm2:amd64 (2.4.102-1) ... Setting up libhdf5-103-1:amd64 (1.10.6+repack-2) ... Setting up dwz (0.13-5) ... Setting up groff-base (1.22.4-5) ... Setting up libqt5dbus5:amd64 (5.14.2+dfsg-5) ... Setting up libccolamd2:amd64 (1:5.8.1+dfsg-2) ... Setting up libxcb-randr0:amd64 (1.14-2) ... Setting up libhtml-parser-perl (3.72-5) ... Setting up libhdf5-cpp-103-1:amd64 (1.10.6+repack-2) ... Setting up libx11-6:amd64 (2:1.6.9-2ubuntu1) ... Setting up libtiff5:amd64 (4.1.0+git191117-2build1) ... Setting up libfontconfig1:amd64 (2.13.1-2ubuntu3) ... Setting up libsndfile1:amd64 (1.0.28-8) ... Setting up libmro-compat-perl (0.13-1) ... Setting up libjpeg8-dev:amd64 (8c-2ubuntu8) ... Setting up libwacom2:amd64 (1.3-2ubuntu1) ... Setting up libsm6:amd64 (2:1.2.3-1) ... Setting up libfftw3-dev:amd64 (3.3.8-2ubuntu6) ... Setting up libavahi-client3:amd64 (0.8-3ubuntu1) ... Setting up libcholmod3:amd64 (1:5.8.1+dfsg-2) ... Setting up libio-socket-ssl-perl (2.067-1) ... Setting up libsub-exporter-perl (0.987-1) ... Setting up libhttp-message-perl (6.25-1) ... Setting up libdrm-amdgpu1:amd64 (2.4.102-1) ... Setting up libhdf5-hl-100:amd64 (1.10.6+repack-2) ... Setting up automake (1:1.16.2-3ubuntu1) ... update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode Setting up libiterator-perl (0.03+ds1-1) ... Setting up libxcb-dri3-0:amd64 (1.14-2) ... Setting up libportaudio2:amd64 (19.6.0-1build1) ... Setting up libhttp-negotiate-perl (6.01-1) ... Setting up fontconfig (2.13.1-2ubuntu3) ... Regenerating fonts cache... done. Setting up libcarp-assert-more-perl (1.20-1) ... Setting up libdrm-nouveau2:amd64 (2.4.102-1) ... Setting up gettext (0.19.8.1-10build1) ... Setting up libxdamage1:amd64 (1:1.1.5-2) ... Setting up libxcb1-dev:amd64 (1.14-2) ... Setting up libxpm4:amd64 (1:3.5.12-1) ... Setting up libiterator-util-perl (0.02+ds1-1) ... Setting up libxrender1:amd64 (1:0.9.10-1) ... Setting up libgbm1:amd64 (20.1.4-1) ... Setting up libhttp-cookies-perl (6.08-1) ... Setting up libwmf0.2-7:amd64 (0.2.8.4-17ubuntu1) ... Setting up libdrm-radeon1:amd64 (2.4.102-1) ... Setting up libhx509-5-heimdal:amd64 (7.7.0+dfsg-2) ... Setting up libhtml-tree-perl (5.07-2) ... Setting up libparams-classify-perl (0.015-1build2) ... Setting up libpango-1.0-0:amd64 (1.44.7-2ubuntu4) ... Setting up libdrm-intel1:amd64 (2.4.102-1) ... Setting up libgl1-mesa-dri:amd64 (20.1.4-1) ... Setting up libjpeg-dev:amd64 (8c-2ubuntu8) ... Setting up libx11-dev:amd64 (2:1.6.9-2ubuntu1) ... Setting up libxext6:amd64 (2:1.3.4-0ubuntu1) ... Setting up man-db (2.9.3-2) ... Not building database; man-db/auto-update is not 'true'. Created symlink /etc/systemd/system/timers.target.wants/man-db.timer → /lib/systemd/system/man-db.timer. Setting up gfortran (4:10.1.0-1ubuntu1) ... 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 (1.16.0-4ubuntu1) ... Setting up libqt5network5:amd64 (5.14.2+dfsg-5) ... Setting up libio-async-loop-epoll-perl (0.21-1) ... Setting up libxxf86vm1:amd64 (1:1.1.4-1build1) ... Setting up libinput-bin (1.16.0-1) ... Setting up intltool-debian (0.35.0+20060710.5) ... Setting up libqt5sql5:amd64 (5.14.2+dfsg-5) ... Setting up libqt5xml5:amd64 (5.14.2+dfsg-5) ... Setting up libegl-mesa0:amd64 (20.1.4-1) ... Setting up libhdf5-hl-cpp-100:amd64 (1.10.6+repack-2) ... Setting up libumfpack5:amd64 (1:5.8.1+dfsg-2) ... Setting up libnet-smtp-ssl-perl (1.04-1) ... Setting up libmodule-runtime-perl (0.016-1) ... Setting up libmailtools-perl (2.21-1) ... Setting up libxfixes3:amd64 (1:5.0.3-2) ... Setting up libconfig-model-perl (2.140-1) ... Setting up libxinerama1:amd64 (2:1.1.4-2) ... Setting up libgd3:amd64 (2.3.0-2) ... Setting up libhdf5-fortran-102:amd64 (1.10.6+repack-2) ... Setting up libgraphicsmagick-q16-3 (1.4+really1.3.35+hg16297-1) ... Setting up texinfo (6.7.0.dfsg.2-5) ... Setting up libcups2:amd64 (2.3.3-2) ... Setting up libdata-section-perl (0.200007-1) ... Setting up libegl1:amd64 (1.3.1-1ubuntu1) ... Setting up libhdf5-hl-fortran-100:amd64 (1.10.6+repack-2) ... Setting up libgraphicsmagick++-q16-12 (1.4+really1.3.35+hg16297-1) ... Setting up libpangoft2-1.0-0:amd64 (1.44.7-2ubuntu4) ... Setting up libdata-dpath-perl (0.58-1) ... Setting up libstring-rewriteprefix-perl (0.008-1) ... Setting up libpangocairo-1.0-0:amd64 (1.44.7-2ubuntu4) ... Setting up libkrb5-26-heimdal:amd64 (7.7.0+dfsg-2) ... Setting up libconfig-model-backend-yaml-perl (2.133-2) ... Setting up libinput10:amd64 (1.16.0-1) ... Setting up libxft2:amd64 (2.3.3-0ubuntu1) ... Setting up libglx-mesa0:amd64 (20.1.4-1) ... Setting up libglx0:amd64 (1.3.1-1ubuntu1) ... Setting up libmodule-implementation-perl (0.09-1) ... Setting up libpackage-stash-perl (0.38-1) ... Setting up libimport-into-perl (1.002005-1) ... Setting up libmoo-perl (2.004000-1) ... Setting up po-debconf (1.0.21) ... Setting up libxcursor1:amd64 (1:1.2.0-2) ... Setting up liblist-someutils-perl (0.58-1) ... Setting up libmime-tools-perl (5.509-1) ... Setting up libheimntlm0-heimdal:amd64 (7.7.0+dfsg-2) ... Setting up libsoftware-license-perl (0.103014-2) ... Setting up libclass-load-perl (0.25-1) ... Setting up libgl1:amd64 (1.3.1-1ubuntu1) ... Setting up libgssapi3-heimdal:amd64 (7.7.0+dfsg-2) ... Setting up libhdf5-dev (1.10.6+repack-2) ... 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 libglx-dev:amd64 (1.3.1-1ubuntu1) ... Setting up libglu1-mesa:amd64 (9.0.1-1build1) ... Setting up gnuplot-nox (5.2.8+dfsg1-2) ... update-alternatives: using /usr/bin/gnuplot-nox to provide /usr/bin/gnuplot (gnuplot) in auto mode Setting up libmoox-aliases-perl (0.001006-1) ... Setting up libparams-validate-perl (1.29-3) ... Setting up libb-hooks-endofscope-perl (0.24-1) ... Setting up libgl-dev:amd64 (1.3.1-1ubuntu1) ... Setting up libegl-dev:amd64 (1.3.1-1ubuntu1) ... Setting up libsoftware-licensemoreutils-perl (1.004-1) ... Setting up libfltk1.3:amd64 (1.3.5-1) ... Setting up libfltk-gl1.3:amd64 (1.3.5-1) ... Setting up libqt5gui5:amd64 (5.14.2+dfsg-5) ... Setting up libldap-2.4-2:amd64 (2.4.50+dfsg-1ubuntu3) ... Setting up libcurl3-gnutls:amd64 (7.68.0-1ubuntu4) ... Setting up libqt5widgets5:amd64 (5.14.2+dfsg-5) ... Setting up libqt5help5:amd64 (5.14.2-2) ... Setting up libgl2ps1.4 (1.4.2+dfsg1-1) ... Setting up libqt5printsupport5:amd64 (5.14.2+dfsg-5) ... Setting up liboctave7:amd64 (5.2.0-3build1) ... Setting up dh-octave-autopkgtest (0.7.6) ... Setting up libnamespace-clean-perl (0.27-1) ... Setting up libgetopt-long-descriptive-perl (0.105-1) ... Setting up libgles-dev:amd64 (1.3.1-1ubuntu1) ... Setting up libnamespace-autoclean-perl (0.29-1) ... Setting up libapp-cmd-perl (0.331-1) ... Setting up libglvnd-dev:amd64 (1.3.1-1ubuntu1) ... Setting up libmoox-struct-perl (0.020-1) ... Setting up lintian (2.86.0) ... Setting up libqscintilla2-qt5-15 (2.11.2+dfsg-6) ... Setting up octave (5.2.0-3build1) ... Setting up cme (1.032-1) ... Setting up libgl1-mesa-dev:amd64 (20.1.4-1) ... Setting up licensecheck (3.0.47-1) ... Setting up liboctave-dev (5.2.0-3build1) ... Setting up dh-autoreconf (19) ... Setting up liblwp-protocol-https-perl (6.09-1) ... Setting up libwww-perl (6.46-1) ... Setting up debhelper (13.2ubuntu1) ... Setting up libparse-debcontrol-perl (2.005-4) ... Setting up libconfig-model-dpkg-perl (2.138) ... Setting up dh-octave (0.7.6) ... Setting up sbuild-build-depends-octave-stk-dummy (0.invalid.0) ... Processing triggers for libc-bin (2.31-2ubuntu1) ... Processing triggers for systemd (245.7-1ubuntu1) ... +------------------------------------------------------------------------------+ | Build environment | +------------------------------------------------------------------------------+ Kernel: Linux 4.4.0-186-generic amd64 (x86_64) Toolchain package versions: binutils_2.35-1ubuntu1 dpkg-dev_1.20.5ubuntu1 g++-10_10.2.0-3ubuntu1 gcc-10_10.2.0-3ubuntu1 libc6-dev_2.31-2ubuntu1 libstdc++-10-dev_10.2.0-3ubuntu1 libstdc++6_10.2.0-3ubuntu1 linux-libc-dev_5.8.0-12.13 Package versions: adduser_3.118ubuntu2 advancecomp_2.1-2.1build1 aglfn_1.7+git20191031.4036a9c-2 apt_2.1.7 autoconf_2.69-11.1 automake_1:1.16.2-3ubuntu1 autopoint_0.19.8.1-10build1 autotools-dev_20180224.1 base-files_11ubuntu10 base-passwd_3.5.47 bash_5.0-6ubuntu2 binutils_2.35-1ubuntu1 binutils-common_2.35-1ubuntu1 binutils-x86-64-linux-gnu_2.35-1ubuntu1 bsdextrautils_2.36-2ubuntu1 bsdutils_1:2.36-2ubuntu1 build-essential_12.8ubuntu3 bzip2_1.0.8-4ubuntu2 ca-certificates_20200601 cme_1.032-1 coreutils_8.32-3ubuntu1 cpp_4:10.1.0-1ubuntu1 cpp-10_10.2.0-3ubuntu1 dash_0.5.10.2-7 debconf_1.5.74 debhelper_13.2ubuntu1 debianutils_4.11 dh-autoreconf_19 dh-octave_0.7.6 dh-octave-autopkgtest_0.7.6 dh-strip-nondeterminism_1.9.0-1 diffstat_1.63-1 diffutils_1:3.7-3build1 dpkg_1.20.5ubuntu1 dpkg-dev_1.20.5ubuntu1 dwz_0.13-5 e2fsprogs_1.45.6-1ubuntu1 fakeroot_1.24-1 file_1:5.38-5 findutils_4.7.0-1ubuntu1 fontconfig_2.13.1-2ubuntu3 fontconfig-config_2.13.1-2ubuntu3 fonts-dejavu-core_2.37-2 fonts-freefont-otf_20120503-10 g++_4:10.1.0-1ubuntu1 g++-10_10.2.0-3ubuntu1 gcc_4:10.1.0-1ubuntu1 gcc-10_10.2.0-3ubuntu1 gcc-10-base_10.2.0-3ubuntu1 gettext_0.19.8.1-10build1 gettext-base_0.19.8.1-10build1 gfortran_4:10.1.0-1ubuntu1 gfortran-10_10.2.0-3ubuntu1 gnuplot-data_5.2.8+dfsg1-2 gnuplot-nox_5.2.8+dfsg1-2 gpg_2.2.20-1ubuntu1 gpg-agent_2.2.20-1ubuntu1 gpgconf_2.2.20-1ubuntu1 gpgv_2.2.20-1ubuntu1 grep_3.4-1 groff-base_1.22.4-5 gzip_1.10-2ubuntu1 hdf5-helpers_1.10.6+repack-2 hostname_3.23 init_1.58 init-system-helpers_1.58 intltool-debian_0.35.0+20060710.5 libacl1_2.2.53-8 libaec-dev_1.0.4-1 libaec0_1.0.4-1 libalgorithm-c3-perl_0.10-1 libaliased-perl_0.34-1 libamd2_1:5.8.1+dfsg-2 libapp-cmd-perl_0.331-1 libapparmor1_2.13.3-7ubuntu6 libapt-pkg-perl_0.1.36build3 libapt-pkg6.0_2.1.7 libarchive-zip-perl_1.68-1 libargon2-1_0~20171227-0.2build20.10.0 libarpack2_3.7.0-3 libarray-intspan-perl_2.004-1 libasan6_10.2.0-3ubuntu1 libasn1-8-heimdal_7.7.0+dfsg-2 libasound2_1.2.2-2.3ubuntu1 libasound2-data_1.2.2-2.3ubuntu1 libassuan0_2.5.3-7.1 libatomic1_10.2.0-3ubuntu1 libattr1_1:2.4.48-5 libaudit-common_1:2.8.5-2ubuntu6 libaudit1_1:2.8.5-2ubuntu6 libavahi-client3_0.8-3ubuntu1 libavahi-common-data_0.8-3ubuntu1 libavahi-common3_0.8-3ubuntu1 libb-hooks-endofscope-perl_0.24-1 libb-hooks-op-check-perl_0.22-1build2 libbinutils_2.35-1ubuntu1 libblas-dev_3.9.0-3 libblas3_3.9.0-3 libblkid1_2.36-2ubuntu1 libboolean-perl_0.46-1 libbrotli1_1.0.7-7 libbsd0_0.10.0-1 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libcups2_2.3.3-2 libcurl3-gnutls_7.68.0-1ubuntu4 libcxsparse3_1:5.8.1+dfsg-2 libdata-dpath-perl_0.58-1 libdata-messagepack-perl_1.00-2ubuntu1 libdata-optlist-perl_0.110-1 libdata-section-perl_0.200007-1 libdata-validate-domain-perl_0.10-1 libdatrie1_0.2.12-3 libdb5.3_5.3.28+dfsg1-0.6ubuntu2 libdbus-1-3_1.12.18-1ubuntu1 libdebconfclient0_0.252ubuntu1 libdebhelper-perl_13.2ubuntu1 libdevel-callchecker-perl_0.008-1ubuntu1 libdevel-size-perl_0.83-1build1 libdevel-stacktrace-perl_2.0400-1 libdevmapper1.02.1_2:1.02.167-1ubuntu3 libdouble-conversion3_3.1.5-5build1 libdpkg-perl_1.20.5ubuntu1 libdrm-amdgpu1_2.4.102-1 libdrm-common_2.4.102-1 libdrm-intel1_2.4.102-1 libdrm-nouveau2_2.4.102-1 libdrm-radeon1_2.4.102-1 libdrm2_2.4.102-1 libdynaloader-functions-perl_0.003-1 libedit2_3.1-20191231-1 libegl-dev_1.3.1-1ubuntu1 libegl-mesa0_20.1.4-1 libegl1_1.3.1-1ubuntu1 libelf1_0.180-1 libemail-address-xs-perl_1.04-1build3 libencode-locale-perl_1.05-1 liberror-perl_0.17029-1 libevdev2_1.9.1+dfsg-1 libexception-class-perl_1.44-1 libexpat1_2.2.9-1build1 libexporter-lite-perl_0.08-1 libexporter-tiny-perl_1.002002-1 libext2fs2_1.45.6-1ubuntu1 libfakeroot_1.24-1 libffi7_3.3-4 libfftw3-bin_3.3.8-2ubuntu6 libfftw3-dev_3.3.8-2ubuntu6 libfftw3-double3_3.3.8-2ubuntu6 libfftw3-long3_3.3.8-2ubuntu6 libfftw3-quad3_3.3.8-2ubuntu6 libfftw3-single3_3.3.8-2ubuntu6 libfile-basedir-perl_0.08-1 libfile-find-rule-perl_0.34-1 libfile-homedir-perl_1.004-1 libfile-listing-perl_6.04-1 libfile-stripnondeterminism-perl_1.9.0-1 libfile-which-perl_1.23-1 libflac8_1.3.3-1build1 libfltk-gl1.3_1.3.5-1 libfltk1.3_1.3.5-1 libfont-ttf-perl_1.06-1 libfontconfig1_2.13.1-2ubuntu3 libfreetype6_2.10.2+dfsg-3 libfribidi0_1.0.8-2 libfuture-perl_0.45-1 libgbm1_20.1.4-1 libgcc-10-dev_10.2.0-3ubuntu1 libgcc-s1_10.2.0-3ubuntu1 libgcrypt20_1.8.5-5ubuntu2 libgd3_2.3.0-2 libgdbm-compat4_1.18.1-5 libgdbm6_1.18.1-5 libgetopt-long-descriptive-perl_0.105-1 libgfortran-10-dev_10.2.0-3ubuntu1 libgfortran5_10.2.0-3ubuntu1 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libtext-glob-perl_0.11-1 libtext-levenshtein-damerau-perl_0.41-1 libtext-levenshteinxs-perl_0.03-4build7 libtext-reform-perl_1.20-3 libtext-template-perl_1.59-1 libtext-unidecode-perl_1.30-1 libtext-xslate-perl_3.5.8-1build1 libthai-data_0.1.28-3 libthai0_0.1.28-3 libtiff5_4.1.0+git191117-2build1 libtime-duration-perl_1.21-1 libtime-moment-perl_0.44-1build3 libtimedate-perl_2.3300-1 libtinfo6_6.2-1 libtool_2.4.6-14 libtry-tiny-perl_0.30-1 libtsan0_10.2.0-3ubuntu1 libtype-tiny-perl_1.010002-1 libubsan1_10.2.0-3ubuntu1 libuchardet0_0.0.7-1 libudev1_245.7-1ubuntu1 libumfpack5_1:5.8.1+dfsg-2 libunicode-utf8-perl_0.62-1build1 libunistring2_0.9.10-4 liburi-perl_1.76-2 libuuid1_2.36-2ubuntu1 libvariable-magic-perl_0.62-1build2 libvorbis0a_1.3.6-2ubuntu2 libvorbisenc2_1.3.6-2ubuntu2 libvulkan1_1.2.141.0-1 libwacom-common_1.3-2ubuntu1 libwacom2_1.3-2ubuntu1 libwayland-client0_1.18.0-1 libwayland-server0_1.18.0-1 libwebp6_0.6.1-2 libwebpmux3_0.6.1-2 libwind0-heimdal_7.7.0+dfsg-2 libwmf0.2-7_0.2.8.4-17ubuntu1 libwww-perl_6.46-1 libwww-robotrules-perl_6.02-1 libx11-6_2:1.6.9-2ubuntu1 libx11-data_2:1.6.9-2ubuntu1 libx11-dev_2:1.6.9-2ubuntu1 libx11-xcb1_2:1.6.9-2ubuntu1 libxau-dev_1:1.0.9-0ubuntu1 libxau6_1:1.0.9-0ubuntu1 libxcb-dri2-0_1.14-2 libxcb-dri3-0_1.14-2 libxcb-glx0_1.14-2 libxcb-icccm4_0.4.1-1.1 libxcb-image0_0.4.0-1build1 libxcb-keysyms1_0.4.0-1build1 libxcb-present0_1.14-2 libxcb-randr0_1.14-2 libxcb-render-util0_0.3.9-1build1 libxcb-render0_1.14-2 libxcb-shape0_1.14-2 libxcb-shm0_1.14-2 libxcb-sync1_1.14-2 libxcb-util1_0.4.0-0ubuntu3 libxcb-xfixes0_1.14-2 libxcb-xinerama0_1.14-2 libxcb-xinput0_1.14-2 libxcb-xkb1_1.14-2 libxcb1_1.14-2 libxcb1-dev_1.14-2 libxcursor1_1:1.2.0-2 libxdamage1_1:1.1.5-2 libxdmcp-dev_1:1.1.3-0ubuntu1 libxdmcp6_1:1.1.3-0ubuntu1 libxext6_2:1.3.4-0ubuntu1 libxfixes3_1:5.0.3-2 libxft2_2.3.3-0ubuntu1 libxinerama1_2:1.1.4-2 libxkbcommon-x11-0_0.10.0-1 libxkbcommon0_0.10.0-1 libxml-libxml-perl_2.0134+dfsg-2 libxml-namespacesupport-perl_1.12-1 libxml-sax-base-perl_1.09-1 libxml-sax-perl_1.02+dfsg-1 libxml-writer-perl_0.625-1 libxml2_2.9.10+dfsg-5build1 libxpm4_1:3.5.12-1 libxrender1_1:0.9.10-1 libxshmfence1_1.3-1 libxxf86vm1_1:1.1.4-1build1 libyaml-0-2_0.2.2-1 libyaml-libyaml-perl_0.82+repack-1 libyaml-perl_1.30-1 libyaml-tiny-perl_1.73-1 libzstd1_1.4.5+dfsg-3 licensecheck_3.0.47-1 lintian_2.86.0 linux-libc-dev_5.8.0-12.13 lockfile-progs_0.1.18 login_1:4.8.1-1ubuntu6 logsave_1.45.6-1ubuntu1 lsb-base_11.1.0ubuntu2 lzip_1.21-7 m4_1.4.18-4 make_4.3-4ubuntu1 man-db_2.9.3-2 mawk_1.3.4.20200120-2 mount_2.36-2ubuntu1 ncurses-base_6.2-1 ncurses-bin_6.2-1 netbase_6.1 octave_5.2.0-3build1 octave-common_5.2.0-3build1 openssl_1.1.1f-1ubuntu3 optipng_0.7.7-1 passwd_1:4.8.1-1ubuntu6 patch_2.7.6-6 patchutils_0.4.2-1 perl_5.30.3-4 perl-base_5.30.3-4 perl-modules-5.30_5.30.3-4 perl-openssl-defaults_5 pinentry-curses_1.1.0-4build1 pkgbinarymangler_146 po-debconf_1.0.21 policyrcd-script-zg2_0.1-3 procps_2:3.3.16-5ubuntu1 readline-common_8.0-4 sbuild-build-depends-core-dummy_0.invalid.0 sbuild-build-depends-octave-stk-dummy_0.invalid.0 sed_4.7-1build1 sensible-utils_0.0.12+nmu1 shared-mime-info_1.15-1 systemd_245.7-1ubuntu1 systemd-sysv_245.7-1ubuntu1 systemd-timesyncd_245.7-1ubuntu1 sysvinit-utils_2.96-3ubuntu1 t1utils_1.41-4 tar_1.30+dfsg-7 tex-common_6.15 texinfo_6.7.0.dfsg.2-5 tzdata_2020a-0ubuntu1 ubuntu-keyring_2020.06.17.1 ucf_3.0043 util-linux_2.36-2ubuntu1 x11-common_1:7.7+19ubuntu14 x11proto-core-dev_2019.2-1ubuntu1 x11proto-dev_2019.2-1ubuntu1 xkb-data_2.29-2 xorg-sgml-doctools_1:1.11-1 xtrans-dev_1.4.0-1 xz-utils_5.2.4-1ubuntu1 zlib1g_1:1.2.11.dfsg-2ubuntu1 zlib1g-dev_1:1.2.11.dfsg-2ubuntu1 +------------------------------------------------------------------------------+ | Build | +------------------------------------------------------------------------------+ Unpack source ------------- gpgv: Signature made Mon Aug 3 11:07:42 2020 UTC gpgv: using RSA key 3F464391498FE874BDB5D98F2124AA1983785C90 gpgv: Can't check signature: No public key dpkg-source: warning: failed to verify signature on ./octave-stk_2.6.1-3.dsc dpkg-source: info: extracting octave-stk in octave-stk-2.6.1 dpkg-source: info: unpacking octave-stk_2.6.1.orig.tar.gz dpkg-source: info: unpacking octave-stk_2.6.1-3.debian.tar.xz dpkg-source: info: using patch list from debian/patches/series dpkg-source: info: applying 0002-Remove-the-MOLE.patch dpkg-source: info: applying 0003-Mark-expected-failure.patch Check disc space ---------------- Sufficient free space for build User Environment ---------------- APT_CONFIG=/var/lib/sbuild/apt.conf DEB_BUILD_OPTIONS=parallel=4 HOME=/sbuild-nonexistent LANG=C.UTF-8 LC_ALL=C.UTF-8 LOGNAME=buildd PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games SCHROOT_ALIAS_NAME=build-PACKAGEBUILD-19765808 SCHROOT_CHROOT_NAME=build-PACKAGEBUILD-19765808 SCHROOT_COMMAND=env SCHROOT_GID=2501 SCHROOT_GROUP=buildd SCHROOT_SESSION_ID=build-PACKAGEBUILD-19765808 SCHROOT_UID=2001 SCHROOT_USER=buildd SHELL=/bin/sh TERM=unknown USER=buildd V=1 dpkg-buildpackage ----------------- dpkg-buildpackage: info: source package octave-stk dpkg-buildpackage: info: source version 2.6.1-3 dpkg-buildpackage: info: source distribution unstable dpkg-source --before-build . dpkg-buildpackage: info: host architecture amd64 debian/rules clean dh clean --buildsystem=octave --with=octave dh_auto_clean -O--buildsystem=octave dh_octave_clean make[1]: Entering directory '/<>/src' rm -f *.o *.mex make[1]: Leaving directory '/<>/src' dh_autoreconf_clean -O--buildsystem=octave dh_clean -O--buildsystem=octave debian/rules binary dh binary --buildsystem=octave --with=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 -O--buildsystem=octave octave --no-gui --no-history --silent --no-init-file --no-window-system /usr/share/dh-octave/install-pkg.m warning: creating installation directory /<>/debian/octave-stk/usr/share/octave/packages warning: called from install at line 30 column 5 pkg at line 441 column 9 /usr/share/dh-octave/install-pkg.m at line 43 column 1 make[1]: Entering directory '/<>/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 gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_dist_pairwise.c -o /tmp/oct-6VNtUv.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG get_column_number.c -o /tmp/oct-Oc6w8B.o /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-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_dist_matrixy.c -o /tmp/oct-1h7HgH.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_filldist_discr_mex.c -o /tmp/oct-jRNpgT.o g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_dist_pairwise__.mex /tmp/oct-6VNtUv.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_dist_matrixy__.mex /tmp/oct-1h7HgH.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_filldist_discr_mex__.mex /tmp/oct-jRNpgT.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __get_column_number__.mex /tmp/oct-Oc6w8B.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_matrixy__.mex stk_gpquadform_matrixy.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_gpquadform_matrixy.c -o /tmp/oct-gBinHd.o /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-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_isdominated_mex.c -o /tmp/oct-RfDGwv.o /usr/bin/mkoctfile --verbose --mex --output __stk_mindist_mex__.mex stk_mindist_mex.c /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-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_mindist_mex.c -o /tmp/oct-eQxo3J.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_dist_matrixx.c -o /tmp/oct-UWa7BO.o g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_gpquadform_matrixy__.mex /tmp/oct-gBinHd.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_mindist_mex__.mex /tmp/oct-eQxo3J.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_dist_matrixx__.mex /tmp/oct-UWa7BO.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_matrixx__.mex stk_gpquadform_matrixx.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_gpquadform_matrixx.c -o /tmp/oct-ADOCYx.o /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-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_gpquadform_pairwise.c -o /tmp/oct-AfoIqU.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_paretofind_mex.c -o /tmp/oct-cM5bIV.o g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_isdominated_mex__.mex /tmp/oct-RfDGwv.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro /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-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_sampling_vdc_rr2.c -o /tmp/oct-V5GuNP.o g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_gpquadform_matrixx__.mex /tmp/oct-ADOCYx.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_gpquadform_pairwise__.mex /tmp/oct-AfoIqU.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -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-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_sampling_sobol_mex.c -o /tmp/oct-gYYPAW.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-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_distrib_bivnorm0_cdf.c -o /tmp/oct-FZ6g6c.o g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_paretofind_mex__.mex /tmp/oct-cM5bIV.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro /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-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_dominatedhv_mex.c -o /tmp/oct-Kl4GfV.o g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_sampling_vdc_rr2__.mex /tmp/oct-V5GuNP.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_sampling_sobol_mex__.mex /tmp/oct-gYYPAW.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_distrib_bivnorm0_cdf__.mex /tmp/oct-FZ6g6c.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG wfg.c -o /tmp/oct-Am0goW.o g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_dominatedhv_mex__.mex /tmp/oct-Kl4GfV.o /tmp/oct-Am0goW.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro make[1]: Leaving directory '/<>/src' copyfile /<>/./src/__get_column_number__.mex /<>/./src/__stk_dist_matrixx__.mex /<>/./src/__stk_dist_matrixy__.mex /<>/./src/__stk_dist_pairwise__.mex /<>/./src/__stk_distrib_bivnorm0_cdf__.mex /<>/./src/__stk_dominatedhv_mex__.mex /<>/./src/__stk_filldist_discr_mex__.mex /<>/./src/__stk_gpquadform_matrixx__.mex /<>/./src/__stk_gpquadform_matrixy__.mex /<>/./src/__stk_gpquadform_pairwise__.mex /<>/./src/__stk_isdominated_mex__.mex /<>/./src/__stk_mindist_mex__.mex /<>/./src/__stk_paretofind_mex__.mex /<>/./src/__stk_sampling_sobol_mex__.mex /<>/./src/__stk_sampling_vdc_rr2__.mex /<>/./inst/x86_64-pc-linux-gnu-api-v53 For information about changes from previous versions of the stk package, run 'news stk'. chmod: cannot access 'debian/*/usr/lib/*/octave/packages/*/*/*.oct': No such file or directory dh_octave_check -O--buildsystem=octave Checking package... Checking m files ... [inst/utils/stk_generate_samplepaths.m] >>>>> /<>/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] >>>>> /<>/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/covfcs/rbf/stk_rbf_gauss.m] >>>>> /<>/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_exponential.m] >>>>> /<>/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_matern.m] >>>>> /<>/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_spherical.m] >>>>> /<>/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_matern52.m] >>>>> /<>/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_matern32.m] >>>>> /<>/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/stk_materncov32_iso.m] >>>>> /<>/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 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 17 tests, 17 passed, 0 known failure, 0 skipped [inst/covfcs/stk_gausscov_aniso.m] >>>>> /<>/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_expcov_iso.m] >>>>> /<>/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 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 17 tests, 17 passed, 0 known failure, 0 skipped [inst/covfcs/stk_discretecov.m] >>>>> /<>/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] >>>>> /<>/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_materncov52_iso.m] >>>>> /<>/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 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 17 tests, 17 passed, 0 known failure, 0 skipped [inst/covfcs/stk_expcov_aniso.m] >>>>> /<>/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_gausscov_iso.m] >>>>> /<>/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 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 17 tests, 17 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov52_aniso.m] >>>>> /<>/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_materncov_aniso.m] >>>>> /<>/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] >>>>> /<>/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_sphcov_aniso.m] >>>>> /<>/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_sphcov_iso.m] >>>>> /<>/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 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 17 tests, 17 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov_iso.m] >>>>> /<>/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 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 18 tests, 18 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_boundingbox.m] >>>>> /<>/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/subsref.m] >>>>> /<>/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/stk_hrect.m] >>>>> /<>/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] >>>>> /<>/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/horzcat.m] >>>>> /<>/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. 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_rescale.m] >>>>> /<>/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] >>>>> /<>/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/ismember.m] >>>>> /<>/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/vertcat.m] >>>>> /<>/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_factorialdesign/stk_boundingbox.m] >>>>> /<>/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_factorialdesign/stk_dataframe.m] >>>>> /<>/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_rescale.m] >>>>> /<>/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_normalize.m] >>>>> /<>/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/ndgrid.m] >>>>> /<>/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/ismember.m] >>>>> /<>/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/uminus.m] >>>>> /<>/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/fieldnames.m] >>>>> /<>/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', 'stk_dataframe', 'u', 'v'}; assert (isequal (fn1, fn2)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_factorialdesign.m] >>>>> /<>/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/generic/stk_boundingbox.m] >>>>> /<>/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_length.m] >>>>> /<>/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_rescale.m] >>>>> /<>/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_normalize.m] >>>>> /<>/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] >>>>> /<>/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/@stk_dataframe/stk_boundingbox.m] >>>>> /<>/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/asind.m] >>>>> /<>/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/max.m] >>>>> /<>/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/subsref.m] >>>>> /<>/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/sin.m] >>>>> /<>/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/log10.m] >>>>> /<>/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/unique.m] >>>>> /<>/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/logical.m] >>>>> /<>/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/abs.m] >>>>> /<>/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/mode.m] >>>>> /<>/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/disp.m] >>>>> /<>/inst/arrays/@stk_dataframe/disp.m ***** shared x, fmt fmt = stk_disp_getformat (); x = stk_dataframe (rand (3, 2)); ***** test format rat; disp (x); : -------- -------- * : 0.652629 0.381379 * : 0.435764 0.866553 * : 0.548185 0.081344 ***** test format long; disp (x); : ---------------- ---------------- * : 0.65262928790576 0.38137926724191 * : 0.43576379607483 0.86655274803879 * : 0.54818520458125 0.08134394750403 ***** test format short; disp (x); format (fmt); : -------- -------- * : 0.652629 0.381379 * : 0.435764 0.866553 * : 0.548185 0.081344 ***** 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/realpow.m] >>>>> /<>/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/atanh.m] >>>>> /<>/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/exp.m] >>>>> /<>/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/isfinite.m] >>>>> /<>/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/tand.m] >>>>> /<>/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/log.m] >>>>> /<>/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/cat.m] >>>>> /<>/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/sind.m] >>>>> /<>/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/asinh.m] >>>>> /<>/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/stk_length.m] >>>>> /<>/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/reshape.m] >>>>> /<>/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/stk_dataframe.m] >>>>> /<>/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/acosd.m] >>>>> /<>/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/horzcat.m] >>>>> /<>/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. ***** 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/ctranspose.m] >>>>> /<>/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/isnan.m] >>>>> /<>/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/acosh.m] >>>>> /<>/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/stk_rescale.m] >>>>> /<>/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/stk_normalize.m] >>>>> /<>/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/minus.m] >>>>> /<>/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/cosd.m] >>>>> /<>/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/ismember.m] >>>>> /<>/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/size.m] >>>>> /<>/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/atan.m] >>>>> /<>/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/var.m] >>>>> /<>/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/times.m] >>>>> /<>/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/double.m] >>>>> /<>/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/sum.m] >>>>> /<>/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/stk_sprintf.m] >>>>> /<>/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); : -------- -------- * : 0.797356 0.707633 * : 0.212038 0.446675 * : 0.737619 0.196113 ***** test format long; disp (x); : ---------------- ---------------- * : 0.79735566727099 0.70763288104592 * : 0.21203798055007 0.44667452865376 * : 0.73761926809881 0.19611253993860 ***** test format short; disp (x); format (fmt); : -------- -------- * : 0.797356 0.707633 * : 0.212038 0.446675 * : 0.737619 0.196113 ***** 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/bsxfun.m] >>>>> /<>/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/expm1.m] >>>>> /<>/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/std.m] >>>>> /<>/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/end.m] >>>>> /<>/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/plus.m] >>>>> /<>/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/sqrt.m] >>>>> /<>/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/transpose.m] >>>>> /<>/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/median.m] >>>>> /<>/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/apply.m] >>>>> /<>/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/vertcat.m] >>>>> /<>/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. ***** 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/asin.m] >>>>> /<>/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/plot.m] >>>>> /<>/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); ***** 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/sort.m] >>>>> /<>/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/mldivide.m] >>>>> /<>/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/subsasgn.m] >>>>> /<>/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/rdivide.m] >>>>> /<>/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/display.m] >>>>> /<>/inst/arrays/@stk_dataframe/display.m ***** test display (stk_dataframe (rand (3, 2))); = <3x2 stk_dataframe array> : -------- -------- * : 0.777166 0.047413 * : 0.621843 0.251874 * : 0.216400 0.949487 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/tanh.m] >>>>> /<>/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/mean.m] >>>>> /<>/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/isinf.m] >>>>> /<>/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/mtimes.m] >>>>> /<>/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/sinh.m] >>>>> /<>/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/fieldnames.m] >>>>> /<>/inst/arrays/@stk_dataframe/fieldnames.m ***** test x = stk_dataframe (rand (3, 2), {'u' 'v'}); s1 = sort (fieldnames (x)); s2 = {'colnames' 'data' 'info' 'rownames' 'u' 'v'}; assert (all (strcmp (s1, s2))); ***** 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'})); 2 tests, 2 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/quantile.m] >>>>> /<>/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/acos.m] >>>>> /<>/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/prod.m] >>>>> /<>/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/cos.m] >>>>> /<>/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/atand.m] >>>>> /<>/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/tan.m] >>>>> /<>/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/cosh.m] >>>>> /<>/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/power.m] >>>>> /<>/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/mrdivide.m] >>>>> /<>/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/length.m] >>>>> /<>/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/log1p.m] >>>>> /<>/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/ldivide.m] >>>>> /<>/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/min.m] >>>>> /<>/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/log2.m] >>>>> /<>/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/lm/stk_lm_polynomial.m] >>>>> /<>/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] >>>>> /<>/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_affine/stk_lm_affine.m] >>>>> /<>/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] >>>>> /<>/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_cubic/stk_lm_cubic.m] >>>>> /<>/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] >>>>> /<>/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_null/stk_lm_null.m] >>>>> /<>/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] >>>>> /<>/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_constant/stk_lm_constant.m] >>>>> /<>/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] >>>>> /<>/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] >>>>> /<>/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] >>>>> /<>/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/examples/test_functions/stk_testcase_truss3.m] >>>>> /<>/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] >>>>> /<>/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/03_miscellaneous/stk_example_misc02.m] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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. prior std = 10.00 prior std = 1.00 3 |-+ 4 |-+ #### |%%## ####%%%% 3 |-+# ##%%%%% 2 |-+&&&%&&&%# #%&&&&&&&& 2 |-+&&% #%%% %%&&&&&&& 1 |-+X==GG==&&%###&&&XXXXXX& 1 |-+X&&GG==&&% &&&&XXXXX& |====&&&&====G=G=====predicted outp|======&&====G=G========== 0 |-+&&& %&&&&&&&&&&XXXXXX& 0 |-+&&& %&&&&&&&&&&XXXXXX& -1 |-+%# #### #%&&&&&&&& -1 |-+%# #%&&&&&&&& |# + + + ##+####+ -2 |-+ + + + ##+%%%%+ -2 |------------------------- -3 |------------------------- 0 prior std = 0.20.8 1 0 prior std = 0.01.8 1 input x input x 6 |-+ 6 |-+ | ### | # 4 |-+ #%%%%%% 4 |-+ #%%%%% 2 |-+%# #&&% %&&&&&&&& 2 |-+ %%# #&&&&&&&& |X&&==GG=====&&======predicted outp|&&&&=GG=====#%=========== 0 |-+==& %&&=G=G&&&&XXXXX& 0 |-+=== %&=G=G&&&&&&XXX& -2 |-+&% #%&&&&&&& -2 |-+&# #%%&&&&& |%# + + + +#%%%+ |## + + + +###%+ -4 |------------------------- -4 |------------------------- 0 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 1 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc04.m] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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. simulated Pareto fronts Proba. of being dominated |------------------------| 1000 +---+---+-+---+---+ +||100% | + # %+ =$@##$@@& & | | | | | | | || | # % =$@##$@@& & | + + + + + + || | # % =$@#####&####| | | || 500 |-+ # % =$@*#$@@& &-| | | || | # % =$@*#$@@& &*| 500 +---+ +---+ +||75% | # % =$@*#$@@&@@&@| | | || | # % =$@*#$@ & & | | | || | # %%%%=$@%%%%%&&&&&| | | || | # =$@@@@@@@@second objective---+ +---+ +||50% 0 |-+ # =$$$$$$$$$$$$| | | || | ######=#%********&*| | | || | = %*%%%%%%%&%| | | || | = **********| -500 +---+ +---+ || | = &&| | | +||25% -500 |-+ = +-| | | || | =============| + + + + + + || | | | | | | | | || | + + + + | -1000 +---+---+-+---+---+ || |------------------------| -600-400-2000 20004000+||0% -4000 -2000 0 2000 first objective 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc03.m] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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 = 2.2676 -1.9465 lognoisevariance = -4.5868 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 = -9.6093 -8.1781 lognoisevariance = -4.6071 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc01.m] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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/01_kriging_basics/stk_example_kb05.m] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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_kb02n.m] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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 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 ** *** *** 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_kb06.m] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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 = -0.69315 1.38629 0.91629 lognoisevariance = -Inf True function and observed data 1.5 |-+ | ****G** +--------------------+ | *** **** |***?***True function| 1 |-+ *** *** +---G---Observations-+ | ** ** | ** ** 0.5 |-+ ** ** *****G | *G ** *** *** 0 |** ** 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] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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 = -0.21078 2.30259 0.75619 lognoisevariance = -Inf True function and observed data 1.5 |-+ | ***G* +--------------------+ | *** *** |***?***True function| 1 |-+ ** *** +---G---Observations-+ | ** *** | ** ** 0.5 |-+ ** ** *** | G* ** **** *G** | ** ** G** *** F1 0 |*+ ** ** *** | ** ** ** | ** ** ** -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_kb03.m] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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_kb09.m] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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_kb08.m] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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_kb01n.m] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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 = -0.69315 1.38629 0.91629 lognoisevariance = -3.2189 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 *** 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] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe01.m] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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/02_design_of_experiments/stk_example_doe05.m] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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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-5 |-+&&&&&&&&%%####%&&&&======&&&&&&&&&&&%%## #&=**GGG GG*G -10 |-+ + + ##### + ########+ #+&GGGGGGG*+ -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.04 |-----------------------------------------------------------| | + + + + + F ** | 0.03 |-+ * * **-| | * * ** | AKG0.02 |-+ * ** *-| | * ** *| 0.01 |-+ * ** +*| | + + + + ******* ** *| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 20 |-+ ### | ##%%%&&%%%# 10 |-+ ########### #%&&&&====&&&&%# |%%%%%%&&&&&&&&G&&&&&&%%###%%%%&&===*********G*&&% z 0 |-+****G****************&&&&**G******XXX&&&&&&=***&% |&&&&&&&&&&&&&%%%&&====G*****=&&&&&&&&&&%%## #&&***GG G&G -10 |-+### #####%%%%%####%%%%%## #&=GGGGGGG*G | + + + + + GG#G + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.04 |-----------------------------------------------------------| 0.035 |-+ + + + + + +-| 0.03 |-+ F **-| 0.025 |-+ ** **-| AKG 0.02 |-+ * * **-| 0.015 |-+ * ** *-| 0.01 |-+ * ** +*| 0.005 |-+ + + + + ** * ** +*| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 20 |-+ ### | ##%%%&&%%%# 10 |-+ ########### #%&&&&====&&&&%# |%%%%%%&&&&&&&&G&&&&&&%%###%%%%&&===*********G*&&% z 0 |-+****G****************&&&&**G******XXX&&&&&&=***&% |&&&&&&&&&&&&&%%%&&====G*****=&&&&&&&&&&%%## #%&***GG G&G -10 |-+### #####%%%%%####%%%%%### #&=GGGGGGG*G | + + + + + GG%G + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.04 |-----------------------------------------------------------| | + + + + + * ** | 0.03 |-+ ** **-| | * * ** | AKG0.02 |-+ * ** *-| | * ** *| 0.01 |-+ **** * ** +*| | + + + + *** +*** ** *| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 20 |-+ ### | ##%%%&&%%%# 10 |-+ ########### #%&&&&====&&&&&# |%%%%%%&&&&&&&&G&&&&&&%%###%%%%&&===*********G*&&% z 0 |-+****G****************&&&&**G******XXX&&&&&&=***&% |&&&&&&&&&&&&&%%%&&====G*****=&&&&&&&&&&&%## #%&***GG GG&G -10 |-+### #####%%%%%####%%%%%### #&=GGGGGGG*G | + + + + + GG%G + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.03 |-----------------------------------------------------------| 0.025 |-+ + + + + + F *+-| | ** ** | 0.02 |-+ ** **-| AKG0.015 |-+ * * **-| 0.01 |-+ * ** *-| | * ** * | 0.005 |-+ + + + + + * ** +*| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 20 |-+ ### | ##%%%&&%%%# 10 |-+ ########### #%&&&&====&&&&%# |%%%%%%&&&&&&&&G&&&&&&%%####%%%&&===*********G*&&% z 0 |-+****G****************&&&&**G******XXX&&&&&&=***&% |&&&&&&&&&&&&&%%%&&====G*****=&&&&&&&&&&%%## #&&***GGG GG&G -10 |-+### #####%%%%%####%%%%### #&=GGGGGGG*G | + + + + + GG#G + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 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 z init001 : 0.00000 -1.8333 init002 : 3.00000 2.5862 init003 : 6.00000 -1.6243 init004 : 9.00000 5.9411 init005 : 12.00000 -9.9175 xg(188) : 11.27638 -12.3768 xg(182) : 10.91457 -14.2791 xg(175) : 10.49246 -9.8013 xg(195) : 11.69849 -8.1828 xg(175) : 10.49246 -10.5349 xg(194) : 11.63819 -7.8189 xg(176) : 10.55276 -12.4109 xg(194) : 11.63819 -10.8771 xg(176) : 10.55276 -8.6100 xg(193) : 11.57789 -6.9468 xg(078) : 4.64322 -2.9851 xg(023) : 1.32663 -1.2639 xg(183) : 10.97487 -10.7560 xg(187) : 11.21608 -9.4994 xg(173) : 10.37186 -6.5427 xg(190) : 11.39698 -9.1957 xg(189) : 11.33668 -9.5230 xg(177) : 10.61307 -9.2563 xg(188) : 11.27638 -9.6697 xg(200) : 12.00000 -4.8108 xg(177) : 10.61307 -7.1476 xg(177) : 10.61307 -11.0256 xg(190) : 11.39698 -13.1464 xg(178) : 10.67337 -11.2899 xg(191) : 11.45729 -11.1069 xg(178) : 10.67337 -7.6257 xg(179) : 10.73367 -7.7039 xg(191) : 11.45729 -12.1834 xg(179) : 10.73367 -11.5989 xg(179) : 10.73367 -10.7619 xg(192) : 11.51759 -11.6719 xg(192) : 11.51759 -10.3522 xg(179) : 10.73367 -11.9867 xg(192) : 11.51759 -11.0194 xg(179) : 10.73367 -9.5782 xg(191) : 11.45729 -12.0690 xg(179) : 10.73367 -9.3153 xg(191) : 11.45729 -8.7968 xg(179) : 10.73367 -12.5604 xg(191) : 11.45729 -8.9152 xg(179) : 10.73367 -9.8121 xg(191) : 11.45729 -12.3374 xg(179) : 10.73367 -12.6437 xg(191) : 11.45729 -8.4008 xg(179) : 10.73367 -9.4905 xg(191) : 11.45729 -8.8634 xg(179) : 10.73367 -8.5035 xg(179) : 10.73367 -13.1647 xg(191) : 11.45729 -10.2398 xg(191) : 11.45729 -11.2768 xg(179) : 10.73367 -9.5196 xg(179) : 10.73367 -8.7406 xg(191) : 11.45729 -12.0070 xg(179) : 10.73367 -7.8024 xg(191) : 11.45729 -12.1069 xg(179) : 10.73367 -8.9854 xg(191) : 11.45729 -11.8963 xg(179) : 10.73367 -9.9251 xg(191) : 11.45729 -14.9714 xg(184) : 11.03518 -11.9524 xg(180) : 10.79397 -9.5420 xg(180) : 10.79397 -11.3314 xg(180) : 10.79397 -9.9300 xg(180) : 10.79397 -12.8931 xg(180) : 10.79397 -10.0085 xg(191) : 11.45729 -10.1647 xg(180) : 10.79397 -10.7209 xg(191) : 11.45729 -11.4105 xg(180) : 10.79397 -11.6885 xg(191) : 11.45729 -10.2799 xg(180) : 10.79397 -11.8173 xg(191) : 11.45729 -15.2797 xg(180) : 10.79397 -11.5969 xg(191) : 11.45729 -8.8201 xg(180) : 10.79397 -7.8018 xg(180) : 10.79397 -13.8129 xg(191) : 11.45729 -12.2101 xg(180) : 10.79397 -10.1503 xg(191) : 11.45729 -11.4675 xg(180) : 10.79397 -12.5088 xg(191) : 11.45729 -12.8958 xg(180) : 10.79397 -12.2610 xg(191) : 11.45729 -9.9682 xg(180) : 10.79397 -11.0496 xg(191) : 11.45729 -7.1661 xg(180) : 10.79397 -6.8265 xg(180) : 10.79397 -10.0626 xg(191) : 11.45729 -6.9077 xg(180) : 10.79397 -8.0142 xg(191) : 11.45729 -12.9320 xg(191) : 11.45729 -11.4096 xg(180) : 10.79397 -11.2365 xg(180) : 10.79397 -11.0128 xg(191) : 11.45729 -12.1203 xg(180) : 10.79397 -12.7525 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] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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. n = 10, fd = 3.67e-01 1 |---------------------------------------------------------------------| | + + + + | | | 0.8 |-+ F +-| | F | | | | F | 0.6 |-+ +F| | | | | 0.4 |-+ F +-| | | | F F | | | 0.2 |-+ F +-| | | | + F + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 11, fd = 3.33e-01 1 |---------------------------------------------------------------------| | + + + + | | | 0.8 |-+ F +-| | F | | | | F | 0.6 |-+ +F| | | | | 0.4 |-+ F +-| | | | F F | | | 0.2 |-+ F +-| | | | + F + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 12, fd = 2.79e-01 1 |---------------------------------------------------------------------| | + + + + | | | 0.8 |-+ F +-| | F | | | | F | 0.6 |-+ +F| | | | | 0.4 |-+ F +-| | | | F F | | | 0.2 |-+ F +-| | | | + F + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 13, fd = 2.66e-01 1 |---------------------------------------------------------------------| | + + + + | | | 0.8 |-+ F +-| | F | | | | F | 0.6 |-+ +F| | | | | 0.4 |-+ F +-| | | | F F | | | 0.2 |-+ F +-| | | | + F + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 14, fd = 2.58e-01 1 |---------------------------------------------------------------------| | + + + + | | | 0.8 |-+ F +-| | F | | | | F | 0.6 |-+ +F| | | | | 0.4 |-+ F +-| | | | F F | | | 0.2 |-+ F +-| | | | + F + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 15, fd = 2.56e-01 1 |---------------------------------------------------------------------| | + + + + | | | 0.8 |-+ F +-| | F | | | | F | 0.6 |-+ +F| | | | F | 0.4 |-+ F +-| | | | F F | | | 0.2 |-+ F +-| | | | + F + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 16, fd = 2.39e-01 1 |---------------------------------------------------------------------| | + + + + | | | 0.8 |-+ F +-| | F F | | | | F | 0.6 |-+ +F| | | | F | 0.4 |-+ F +-| | | | F F | | | 0.2 |-+ F +-| | | | + F + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 17, fd = 2.32e-01 1 |---------------------------------------------------------------------| | + + + + | | | 0.8 |-+ F +-| | F F | | | | F | 0.6 |-+ +F| | | | F | 0.4 |-+ F +-| | | | F F | | | 0.2 |-+ F +-| | | | + F + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 18, fd = 2.27e-01 1 |---------------------------------------------------------------------| | + + + + | | | 0.8 |-+ F +-| | F F | | | | F | 0.6 |-+ +F| | | | F | 0.4 |-+ F +-| | | | F F | | | 0.2 |-+ F +-| | | | + F + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 19, fd = 2.19e-01 1 |---------------------------------------------------------------------| | + + + + | | | 0.8 |-+ F +-| | F F | | | | F | 0.6 |-+ +F| | | | F | 0.4 |-+ F +-| | | | F F | | | 0.2 |-+ F +-| | | | + F + + | 0 |---------------------------------------------------------------------| 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] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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_doe03.m] >>>>> /<>/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 /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/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. 15 |-+ 10 |-+ ####%%%%%%%%%%%##### ################ 5 |-+%&&&&&&&&&&&&&&&&&&&&&&%# #%===========&&&&&%%%## 0 |-+*====F========XXXXXXXX&&&&& ====&XXXXXXXXX===XX&&&&&&%% z |&&***************************G***********************XX&&&& -5 |-+&&&&&&XXXXXXXXXXXXXX====&&# #&&&&&&XXXXXXXXXXXX===*******G -10 |-+ ##%%&&&&&&&&&&&&&&&&%%# ##%%&&&&&&&&&&&&&&&=======# -15 |-+ ##+####%%###+### + ###+%%%%%%%%%+%%%%## + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 1 |-----------------------------------------------------------| | ***F******** + + + + | 0.8 |-+ ** ****** +-| 0.6 |-+* *** *********** +-| EI | * ** *** *** | 0.4 |** ** ** *** +-| 0.2 |*+ ** ** ** +-| |* + + ** + ** + + ** | 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 15 |-+ 10 |-+ ##%%%%%%%%#### #####%%%%%%###### 5 |-+%&&&% 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-10 |-+ ####### #%%&&&&&&&&&&&&&&&=======# -15 |-+ + + + ###+####%%%%%+%%%### + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.5 |-----------------------------------------------------------| | + + + + + | 0.4 |-+ *** ****F**** +-| 0.3 |-+ * ** * **** ** *** +-| EI | * * *** ** ** ** *** | 0.2 |-+* **** * ** ** ** ** +-| 0.1 |-** ** * ** ** ** ** +-| | * **+ * * + ** + ** + + *** | 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 15 |-+ ### 10 |-+ #%%%%%# #%&&&&%%%## | #### #%%%%%%## #&&===***G***XX&&&&&%%# 5 |-+&&&&&&&&&&&&#&&&&&&&&&&&&% #&==*****&&%&=F****XX&&&&%# z 0 |-+*****G******G***********&&*G*****X&&&% #&===X****X&&&% -5 |-+&&&% ### %&========****=&&&&&&%% #%===XX******&% | %%&&&&&&&&% #### #%===&&&&&**G -10 |-+ + +###### + + +#%====== + -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.35 |-----------------------------------------------------------| 0.3 |-+ + + + + *** + 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|-+*****G******G*****XXXXX&&&&%****&&% ****XXX&&&&%# z |&&&&&&# #%%%##&===**********G*&&&%# &==*****X&&&% -5 |-+## %&&&&======&& %===XX******G -10 |-+ ##%%&&&&%%# #%====&&==== | + +###### + + +##%====# + -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.05 |-----------------------------------------------------------| | + + + *F+ + | 0.04 |-+ *** +-| 0.03 |-+ * * +-| EI | * ** | 0.02 |-+ ** ** +-| 0.01 |-+ * ** +-| | + + + ** ** + | 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 10 |-+ | #### #%%%%%%## %&&***GF*G** ####### 5 |-+&&&&&&&&&&&% %&&&&&&&&&&%# &=***& #*G*&&&&&&&%%# 0 |-+*****G******G*****XXXXX&&&&%****&# ****XXX&&&&%# z |&&&&&&# #%%%##&===**********G*&&% &=******X&&&% -5 |-+## %&&&&======&& %===XX******G -10 |-+ #%%&&&&&&%# #%====&&==== | + +###### + + +#%%====# + -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.025 |-----------------------------------------------------------| | + + + F + | 0.02 |-+ * +-| 0.015 |-+ * +-| EI | ** | 0.01 |-+ ** +-| 0.005 |-+ ** +-| | + + + *** + | 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 10 |-+ | #### #%%%%%%## #&&***GF*G** ####### 5 |-+&&&&&&&&&&&% %&&&&&&&&&%%# &=***& #*G*&&&&&&&%%# 0 |-+*****G******G*****XXXXX&&&&%***&&# ****XXX&&&&%# z |&&&&&&# #%%%##&===**********G*&&% &=******X&&&% -5 |-+## %&&&&======&& %===XX******G -10 |-+ #%%&&&&&&%# #%====&&==== | + +###### + + +#%%====# + -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.006 |-----------------------------------------------------------| 0.005 |-+ + + + F + +-| | * | 0.004 |-+ * +-| EI 0.003 |-+ * +-| 0.002 |-+ * +-| | * | 0.001 |-+ + **** + * + +-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 10 |-+ | #### #%%%%%%## #&&***GG*G** ####### 5 |-+&&&&&&&&&&&% %&&&&&&&&&%%# &=***& #*G*&&&&&&&%%# 0 |-+*****G******G*****XXXXX&&&&%***&& ****XXX&&&&%# z |&&&&&&# #%%%##&===**F*******G*&&# &=******X&&&% -5 |-+## %&&&&======&& %===XX******G -10 |-+ #%%&&&&&&%# #%====&&==== | + +###### + + +#%%====# + -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.0006 |-----------------------------------------------------------| 0.0005 |-+ + +*F + + + +-| | *** | 0.0004 |-+ * * +-| 0.0003 |-+ * * +-| 0.0002 |-+ * ** +-| | ** * | 0.0001 |-+ + *+ ** + *** + +** +-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 10 |-+ | #### #&&F**GG*G** ####### 5 |-+&&&&&&&&&&&& # &****& #*G*&&&&&&&%%# 0 |-+*****G******G**&&% #%%%%%&***&& ****XXX&&&&%# z |&&&&&&% #### #&*****G&&&****G*&%# &=******X&&&% -5 |-+## #&&&&*****=&& %===XX******G -10 |-+ #%%%%# #%====&&==== | + + + + +#%%====# + -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.00014 |-----------------------------------------------------------| 0.00012 |-+ + + + F + + +-| 0.0001 |-+ ** +-| 8e-05 |-+ ** +-| | * * | 6e-05 |-+ * * +-| 4e-05 |-+ * * *** +-| 2e-05 |-+ + + + * * * * ** +-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 : 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/sampling/stk_sampcrit_ei_eval.m] >>>>> /<>/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_vdc_rr2.m] >>>>> /<>/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_sampcrit_eqi/stk_sampcrit_eqi.m] >>>>> /<>/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]'); ***** 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]'); ***** 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_ehvi_eval.m] >>>>> /<>/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_olhs.m] >>>>> /<>/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_function/stk_function.m] >>>>> /<>/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_ei/stk_sampcrit_ei.m] >>>>> /<>/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]'); ***** 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_akg_eval.m] >>>>> /<>/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, ignd1, ignd2, K] = stk_predict (M_prior, xi, zi, [xi; xc]); % See CG#07 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_maximinlhs.m] >>>>> /<>/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_sampling_halton_rr2.m] >>>>> /<>/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] >>>>> /<>/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_halfpintl.m] >>>>> /<>/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_regulargrid.m] >>>>> /<>/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_sampling_nesteddesign.m] >>>>> /<>/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_sampling_randunif.m] >>>>> /<>/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_sampcrit_akg/stk_sampcrit_akg.m] >>>>> /<>/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]'); ***** 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]'); ***** 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_randomlhs.m] >>>>> /<>/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/model/prior_struct/stk_ortho_func.m] >>>>> /<>/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_model.m] >>>>> /<>/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] >>>>> /<>/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/@stk_model_gpposterior/stk_predict.m] >>>>> /<>/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/stk_predict_leaveoneout.m] >>>>> /<>/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_model_update.m] >>>>> /<>/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] >>>>> /<>/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] >>>>> /<>/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/set.m] >>>>> /<>/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/noise/@stk_gaussiannoise_het0/set.m] >>>>> /<>/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/param/estim/stk_param_relik.m] >>>>> /<>/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); xi = stk_sampling_halton_rr2 (NI, DIM, BOX); zi = stk_feval (f, xi); model.param = [1 1]; [C1 dC] = stk_param_relik (model, xi, zi); model.param = model.param + DELTA * [0 1]; C2 = stk_param_relik (model, xi, zi); assert (stk_isequal_tolrel (dC(2), (C2 - C1) / DELTA, TOL_REL)); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_init_lnv.m] >>>>> /<>/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_init.m] >>>>> /<>/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) ***** 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) ***** 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 = 5.24664e-18 ***** 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 = 3.25164e-18 ***** 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 ***** 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. ***** 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. 15 tests, 15 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_gls.m] >>>>> /<>/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] >>>>> /<>/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))) ***** test % same thing, with empty lnv0 (ok) param2 = stk_param_estim (model, xi, zi, param0, []); assert (stk_isequal_tolrel (param2, param1, 1e-2)) ***** 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)) ***** 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)) ***** 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: Parameter estimation is impossible with constant-response data. 11 tests, 11 passed, 0 known failure, 0 skipped [inst/core/stk_predict.m] >>>>> /<>/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); ***** error y_prd1 = stk_predict (model, x_obs); ***** error y_prd1 = stk_predict (model, x_obs, z_obs); ***** 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_cholcov.m] >>>>> /<>/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_leaveoneout.m] >>>>> /<>/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_model_update.m] >>>>> /<>/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_kreq_qr/stk_kreq_qr.m] >>>>> /<>/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_kreq_qr/stk_update.m] >>>>> /<>/inst/core/@stk_kreq_qr/stk_update.m ***** shared model, x, y model = stk_model ('stk_materncov32_iso', 1); model.param = log ([1.0; 2.8]); x = [1.2; 0.3; -1.9]; y = 0.0; ***** test kreqA = stk_kreq_qr (model, x); [Kii, Pi] = stk_make_matcov (model, x); kreqB = stk_kreq_qr (model, x(1)); kreqB = stk_update (kreqB, Kii(2, 2), Kii(2, 1), Pi(2)); kreqB = stk_update (kreqB, Kii(3, 3), Kii(3, [1 2]), Pi(3)); assert (stk_isequal_tolabs (kreqA, kreqB, 3 * eps)) ***** test kreqA = stk_kreq_qr (model, x, y); [Kii, Pi] = stk_make_matcov (model, x); [Kti, Pt] = stk_make_matcov (model, y, x); kreqB = stk_kreq_qr (model, x(1), y); kreqB = stk_update (kreqB, Kii(2, 2), Kii(2, 1), Pi(2), Kti(2)); kreqB = stk_update (kreqB, Kii(3, 3), Kii(3, [1 2]), Pi(3), Kti(3)); assert (stk_isequal_tolabs (kreqA, kreqB, 3 * eps)) 2 tests, 2 passed, 0 known failure, 0 skipped [inst/core/stk_make_matcov.m] >>>>> /<>/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/misc/error/stk_error.m] >>>>> /<>/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/design/stk_phipcrit.m] >>>>> /<>/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/design/stk_maxabscorr.m] >>>>> /<>/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/distrib/stk_distrib_student_ei.m] >>>>> /<>/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_cdf.m] >>>>> /<>/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_normal_pdf.m] >>>>> /<>/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_bivnorm_cdf.m] >>>>> /<>/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] >>>>> /<>/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_normal_ei.m] >>>>> /<>/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] >>>>> /<>/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_crps.m] >>>>> /<>/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/dist/stk_filldist_exact.m] >>>>> /<>/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] >>>>> /<>/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_dist.m] >>>>> /<>/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] >>>>> /<>/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_discretized.m] >>>>> /<>/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] >>>>> /<>/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/pareto/stk_isdominated.m] >>>>> /<>/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_paretofind.m] >>>>> /<>/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_dominatedhv.m] >>>>> /<>/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 = 0.20000 0.80000 0.40000 0.60000 0.60000 0.40000 0.80000 0.20000 ***** 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 = 0.20000 0.80000 0.40000 0.60000 0.60000 0.40000 0.80000 0.20000 ***** 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/optim/@stk_optim_fminsearch/stk_optim_fminsearch.m] >>>>> /<>/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_testmin_unc.m] >>>>> /<>/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] >>>>> /<>/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_minimize_boxconstrained.m] >>>>> /<>/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/optim/@stk_optim_fmincon/stk_optim_fmincon.m] >>>>> /<>/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_testmin_box.m] >>>>> /<>/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_optimizer_/stk_optim_optimizer_.m] >>>>> /<>/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] >>>>> /<>/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/test/stk_isequal_tolabs.m] >>>>> /<>/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] >>>>> /<>/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] >>>>> /<>/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/text/stk_sprintf_colvect_fixedpoint.m] >>>>> /<>/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] >>>>> /<>/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.m] >>>>> /<>/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] >>>>> /<>/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 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 toto toto 4 tests, 4 passed, 0 known failure, 0 skipped [inst/misc/parallel/@stk_parallel_engine_parfor/stk_parallel_engine_parfor.m] >>>>> /<>/inst/misc/parallel/@stk_parallel_engine_parfor/stk_parallel_engine_parfor.m ***** test if exist ('matlabpool') || exist ('parpool') stk_test_class ('stk_parallel_engine_parfor') end 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/parallel/@stk_parallel_engine_none/stk_parallel_engine_none.m] >>>>> /<>/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 Checking C++ files ... Summary: 1549 tests, 1549 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 INFO: pkgstriptranslations version 146 INFO: pkgstriptranslations version 146 pkgstriptranslations: processing octave-stk (in debian/octave-stk); do_strip: , oemstrip: pkgstriptranslations: processing octave-stk-dbgsym (in debian/.debhelper/octave-stk/dbgsym-root); do_strip: , oemstrip: pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgstripfiles: processing control file: debian/octave-stk/DEBIAN/control, package octave-stk, directory debian/octave-stk pkgstripfiles: Truncating usr/share/doc/octave-stk/changelog.Debian.gz to topmost ten records pkgstripfiles: processing control file: debian/.debhelper/octave-stk/dbgsym-root/DEBIAN/control, package octave-stk-dbgsym, directory debian/.debhelper/octave-stk/dbgsym-root pkgstripfiles: Running PNG optimization (using 4 cpus) for package octave-stk ... dpkg-deb: building package 'octave-stk-dbgsym' in 'debian/.debhelper/scratch-space/build-octave-stk/octave-stk-dbgsym_2.6.1-3_amd64.deb'. pkgstripfiles: No PNG files. dpkg-deb: building package 'octave-stk' in '../octave-stk_2.6.1-3_amd64.deb'. Renaming octave-stk-dbgsym_2.6.1-3_amd64.deb to octave-stk-dbgsym_2.6.1-3_amd64.ddeb dpkg-genbuildinfo --build=binary dpkg-genchanges --build=binary -mLaunchpad Build Daemon >../octave-stk_2.6.1-3_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) -------------------------------------------------------------------------------- Build finished at 20200803-1717 Finished -------- I: Built successfully +------------------------------------------------------------------------------+ | Post Build Chroot | +------------------------------------------------------------------------------+ +------------------------------------------------------------------------------+ | Changes | +------------------------------------------------------------------------------+ octave-stk_2.6.1-3_amd64.changes: --------------------------------- Format: 1.8 Date: Sun, 02 Aug 2020 13:07:37 -0300 Source: octave-stk Binary: octave-stk Architecture: amd64 Version: 2.6.1-3 Distribution: groovy-proposed Urgency: medium Maintainer: Launchpad Build Daemon Changed-By: Rafael Laboissière Description: octave-stk - (not so) Small Toolbox for Kriging Changes: octave-stk (2.6.1-3) unstable; urgency=medium . * Team upload . * d/control: + Bump Standards-Version to 4.5.0 (no changes needed) + Bump debhelper compatibility level to 13 * d/u/metadata: + Add Bug-{Database,Submit} and Repository-Browse fields + Drop Name and Contact fields * d/p/0003-Mark-expected-failure.patch: Set Forwarded:not-needed * d/octave-stk.lintian-overrides: Rename tag shared-library-lacks-prerequisites Checksums-Sha1: 33500b068fa313833bb557ef6b6325a50320af11 77200 octave-stk-dbgsym_2.6.1-3_amd64.ddeb 572f6f3329dd5150eed562938487f39fa8b07736 19349 octave-stk_2.6.1-3_amd64.buildinfo 5ddec7deda7c4ec266476c3b0fe837b97aa763e1 308872 octave-stk_2.6.1-3_amd64.deb Checksums-Sha256: 0bbd5602f67458e4cdc0e4de44a5a3d0e0ca30db5593b97cfcd0687b6103c53f 77200 octave-stk-dbgsym_2.6.1-3_amd64.ddeb edebc18520b0d96ad76555e157b8db84c9762dd70cfe23ddce4f04c4b292aa1b 19349 octave-stk_2.6.1-3_amd64.buildinfo fbd09c1cf8d6c45832ce1cd04bdbaabf23ff0e962675b88ec4a12698143ed8ff 308872 octave-stk_2.6.1-3_amd64.deb Files: 23a83f7c5065c7ee19d93c5660d9dc94 77200 debug optional octave-stk-dbgsym_2.6.1-3_amd64.ddeb 58b42e7c768558f938853dd97fd592a1 19349 math optional octave-stk_2.6.1-3_amd64.buildinfo 13c2595c003dfe695be50fe044d8743b 308872 math optional octave-stk_2.6.1-3_amd64.deb +------------------------------------------------------------------------------+ | Package contents | +------------------------------------------------------------------------------+ octave-stk_2.6.1-3_amd64.deb ---------------------------- new debian package, version 2.0. size 308872 bytes: control archive=13640 bytes. 1112 bytes, 22 lines control 54096 bytes, 510 lines md5sums Package: octave-stk Version: 2.6.1-3 Architecture: amd64 Maintainer: Ubuntu Developers Original-Maintainer: Debian Octave Group Installed-Size: 2202 Depends: octave (>= 5.2.0), libc6 (>= 2.29), octave-abi-53 Section: math Priority: optional Homepage: https://octave.sourceforge.io/stk/ Description: (not so) Small Toolbox for Kriging The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior. The STK also provides tools for the sequential and non-sequential design of experiments. Even though it is, currently, mostly geared towards the Design and Analysis of Computer Experiments (DACE), the STK can be useful for other applications areas (such as Geostatistics, Machine Learning, Non-parametric Regression, etc.). . 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Build | +------------------------------------------------------------------------------+ +------------------------------------------------------------------------------+ | Cleanup | +------------------------------------------------------------------------------+ Purging /<> Not removing build depends: as requested +------------------------------------------------------------------------------+ | Summary | +------------------------------------------------------------------------------+ Build Architecture: amd64 Build-Space: 8764 Build-Time: 215 Distribution: groovy-proposed Host Architecture: amd64 Install-Time: 51 Job: octave-stk_2.6.1-3.dsc Machine Architecture: amd64 Package: octave-stk Package-Time: 267 Source-Version: 2.6.1-3 Space: 8764 Status: successful Version: 2.6.1-3 -------------------------------------------------------------------------------- Finished at 20200803-1717 Build needed 00:04:27, 8764k disc space RUN: /usr/share/launchpad-buildd/bin/in-target scan-for-processes --backend=chroot --series=groovy --arch=amd64 PACKAGEBUILD-19765808 Scanning for processes to kill in build PACKAGEBUILD-19765808