https://launchpad.net/ubuntu/+source/octave-stk/2.6.1-2/+build/18106779 RUN: /usr/share/launchpad-buildd/bin/builder-prep Kernel version: Linux lcy01-amd64-008 4.4.0-169-generic #198-Ubuntu SMP Tue Nov 12 10:38:00 UTC 2019 x86_64 Buildd toolchain package versions: launchpad-buildd_180 python-lpbuildd_180 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_1:2.7.4-0ubuntu1.6 dpkg-dev_1.18.4ubuntu1.6 python-debian_0.1.27ubuntu2. Syncing the system clock with the buildd NTP service... 14 Nov 17:12:39 ntpdate[1922]: adjust time server 10.211.37.1 offset 0.001548 sec RUN: /usr/share/launchpad-buildd/bin/in-target unpack-chroot --backend=chroot --series=focal --arch=amd64 PACKAGEBUILD-18106779 --image-type chroot /home/buildd/filecache-default/e96c25c651525abc9f0cabeb95ea71010abf4ecb Creating target for build PACKAGEBUILD-18106779 RUN: /usr/share/launchpad-buildd/bin/in-target mount-chroot --backend=chroot --series=focal --arch=amd64 PACKAGEBUILD-18106779 Starting target for build PACKAGEBUILD-18106779 RUN: /usr/share/launchpad-buildd/bin/in-target override-sources-list --backend=chroot --series=focal --arch=amd64 PACKAGEBUILD-18106779 'deb http://ftpmaster.internal/ubuntu focal main universe' 'deb http://ftpmaster.internal/ubuntu focal-security main universe' 'deb http://ftpmaster.internal/ubuntu focal-updates main universe' 'deb http://ftpmaster.internal/ubuntu focal-proposed main universe' Overriding sources.list in build-PACKAGEBUILD-18106779 RUN: /usr/share/launchpad-buildd/bin/in-target update-debian-chroot --backend=chroot --series=focal --arch=amd64 PACKAGEBUILD-18106779 Updating target for build PACKAGEBUILD-18106779 Get:1 http://ftpmaster.internal/ubuntu focal InRelease [255 kB] Get:2 http://ftpmaster.internal/ubuntu focal-security InRelease [79.7 kB] Get:3 http://ftpmaster.internal/ubuntu focal-updates InRelease [79.7 kB] Get:4 http://ftpmaster.internal/ubuntu focal-proposed InRelease [107 kB] Get:5 http://ftpmaster.internal/ubuntu focal/main amd64 Packages [977 kB] Get:6 http://ftpmaster.internal/ubuntu focal/main Translation-en [507 kB] Get:7 http://ftpmaster.internal/ubuntu focal/universe amd64 Packages [8762 kB] Get:8 http://ftpmaster.internal/ubuntu focal/universe Translation-en [5205 kB] Get:9 http://ftpmaster.internal/ubuntu focal-proposed/main amd64 Packages [60.1 kB] Get:10 http://ftpmaster.internal/ubuntu focal-proposed/main Translation-en [31.8 kB] Get:11 http://ftpmaster.internal/ubuntu focal-proposed/universe amd64 Packages [328 kB] Get:12 http://ftpmaster.internal/ubuntu focal-proposed/universe Translation-en [167 kB] Fetched 16.6 MB in 8s (1978 kB/s) Reading package lists... Reading package lists... Building dependency tree... Reading state information... Calculating upgrade... The following packages were automatically installed and are no longer required: libhogweed4 libnettle6 libperl5.28 perl-modules-5.28 Use 'sudo apt autoremove' to remove them. The following NEW packages will be installed: libhogweed5 libnettle7 libperl5.30 perl-modules-5.30 The following packages will be upgraded: base-files bash binutils binutils-common binutils-x86-64-linux-gnu bzip2 cpp-9 debianutils g++-9 gcc-9 gcc-9-base hostname libacl1 libapparmor1 libasan5 libatomic1 libattr1 libaudit-common libaudit1 libbinutils libbz2-1.0 libcap-ng0 libcap2 libcc1-0 libcryptsetup12 libdebconfclient0 libgcc-9-dev libgcc1 libgcrypt20 libgnutls30 libgomp1 libitm1 libjson-c4 libkmod2 liblockfile-bin liblockfile1 liblsan0 liblz4-1 libncurses6 libncursesw6 libp11-kit0 libquadmath0 libseccomp2 libselinux1 libsemanage-common libsemanage1 libsqlite3-0 libstdc++-9-dev libstdc++6 libsystemd0 libtinfo6 libtsan0 libubsan1 libudev1 linux-libc-dev lsb-base ncurses-base ncurses-bin perl perl-base systemd systemd-sysv sysvinit-utils 63 upgraded, 4 newly installed, 0 to remove and 0 not upgraded. Need to get 54.9 MB of archives. After this operation, 47.6 MB of additional disk space will be used. Get:1 http://ftpmaster.internal/ubuntu focal/main amd64 base-files amd64 11ubuntu1 [60.5 kB] Get:2 http://ftpmaster.internal/ubuntu focal/main amd64 debianutils amd64 4.9 [85.9 kB] Get:3 http://ftpmaster.internal/ubuntu focal/main amd64 bash amd64 5.0-5ubuntu1 [639 kB] Get:4 http://ftpmaster.internal/ubuntu focal/main amd64 hostname amd64 3.23 [11.4 kB] Get:5 http://ftpmaster.internal/ubuntu focal/main amd64 ncurses-bin amd64 6.1+20191019-1ubuntu1 [172 kB] Get:6 http://ftpmaster.internal/ubuntu focal/main amd64 perl-modules-5.30 all 5.30.0-9 [2739 kB] Get:7 http://ftpmaster.internal/ubuntu focal/main amd64 libperl5.30 amd64 5.30.0-9 [3950 kB] Get:8 http://ftpmaster.internal/ubuntu focal/main amd64 perl amd64 5.30.0-9 [224 kB] Get:9 http://ftpmaster.internal/ubuntu focal/main amd64 perl-base amd64 5.30.0-9 [1511 kB] Get:10 http://ftpmaster.internal/ubuntu focal/main amd64 bzip2 amd64 1.0.8-2 [34.1 kB] Get:11 http://ftpmaster.internal/ubuntu focal/main amd64 libbz2-1.0 amd64 1.0.8-2 [32.3 kB] Get:12 http://ftpmaster.internal/ubuntu focal/main amd64 ncurses-base all 6.1+20191019-1ubuntu1 [17.9 kB] Get:13 http://ftpmaster.internal/ubuntu focal/main amd64 lsb-base all 11.1.0ubuntu1 [12.2 kB] Get:14 http://ftpmaster.internal/ubuntu focal/main amd64 sysvinit-utils amd64 2.96-1ubuntu1 [20.8 kB] Get:15 http://ftpmaster.internal/ubuntu focal/main amd64 systemd-sysv amd64 243-3ubuntu1 [9364 B] Get:16 http://ftpmaster.internal/ubuntu focal/main amd64 libacl1 amd64 2.2.53-5 [18.8 kB] Get:17 http://ftpmaster.internal/ubuntu focal/main amd64 libapparmor1 amd64 2.13.3-5ubuntu5 [34.6 kB] Get:18 http://ftpmaster.internal/ubuntu focal/main amd64 libaudit-common all 1:2.8.5-2ubuntu2 [4080 B] Get:19 http://ftpmaster.internal/ubuntu focal/main amd64 libcap-ng0 amd64 0.7.9-2.1 [11.1 kB] Get:20 http://ftpmaster.internal/ubuntu focal/main amd64 libaudit1 amd64 1:2.8.5-2ubuntu2 [39.0 kB] Get:21 http://ftpmaster.internal/ubuntu focal-proposed/main amd64 libcap2 amd64 1:2.27-1 [14.1 kB] Get:22 http://ftpmaster.internal/ubuntu focal/main amd64 libjson-c4 amd64 0.13.1+dfsg-6 [29.2 kB] Get:23 http://ftpmaster.internal/ubuntu focal/main amd64 libcryptsetup12 amd64 2:2.2.2-1ubuntu1 [182 kB] Get:24 http://ftpmaster.internal/ubuntu focal/main amd64 libnettle7 amd64 3.5.1+really3.5.1-2 [114 kB] Get:25 http://ftpmaster.internal/ubuntu focal/main amd64 libhogweed5 amd64 3.5.1+really3.5.1-2 [138 kB] Get:26 http://ftpmaster.internal/ubuntu focal/main amd64 libp11-kit0 amd64 0.23.18.1-2 [189 kB] Get:27 http://ftpmaster.internal/ubuntu focal-proposed/main amd64 libgnutls30 amd64 3.6.10-4 [786 kB] Get:28 http://ftpmaster.internal/ubuntu focal/main amd64 libkmod2 amd64 26-3ubuntu1 [42.9 kB] Get:29 http://ftpmaster.internal/ubuntu focal-proposed/main amd64 liblz4-1 amd64 1.9.2-2 [55.9 kB] Get:30 http://ftpmaster.internal/ubuntu focal-proposed/main amd64 libseccomp2 amd64 2.4.1-0ubuntu0.19.10.4 [38.8 kB] Get:31 http://ftpmaster.internal/ubuntu focal/main amd64 systemd amd64 243-3ubuntu1 [3630 kB] Get:32 http://ftpmaster.internal/ubuntu focal/main amd64 libsystemd0 amd64 243-3ubuntu1 [263 kB] Get:33 http://ftpmaster.internal/ubuntu focal/main amd64 libcc1-0 amd64 9.2.1-19ubuntu1 [49.1 kB] Get:34 http://ftpmaster.internal/ubuntu focal/main amd64 binutils-x86-64-linux-gnu amd64 2.33.1-1ubuntu1 [1639 kB] Get:35 http://ftpmaster.internal/ubuntu focal/main amd64 libbinutils amd64 2.33.1-1ubuntu1 [475 kB] Get:36 http://ftpmaster.internal/ubuntu focal/main amd64 binutils-common amd64 2.33.1-1ubuntu1 [203 kB] Get:37 http://ftpmaster.internal/ubuntu focal/main amd64 binutils amd64 2.33.1-1ubuntu1 [3404 B] Get:38 http://ftpmaster.internal/ubuntu focal/main amd64 libgomp1 amd64 9.2.1-19ubuntu1 [89.2 kB] Get:39 http://ftpmaster.internal/ubuntu focal/main amd64 libitm1 amd64 9.2.1-19ubuntu1 [28.1 kB] Get:40 http://ftpmaster.internal/ubuntu focal/main amd64 libatomic1 amd64 9.2.1-19ubuntu1 [9212 B] Get:41 http://ftpmaster.internal/ubuntu focal/main amd64 libasan5 amd64 9.2.1-19ubuntu1 [395 kB] Get:42 http://ftpmaster.internal/ubuntu focal/main amd64 liblsan0 amd64 9.2.1-19ubuntu1 [139 kB] Get:43 http://ftpmaster.internal/ubuntu focal/main amd64 libtsan0 amd64 9.2.1-19ubuntu1 [301 kB] Get:44 http://ftpmaster.internal/ubuntu focal/main amd64 libubsan1 amd64 9.2.1-19ubuntu1 [130 kB] Get:45 http://ftpmaster.internal/ubuntu focal/main amd64 libquadmath0 amd64 9.2.1-19ubuntu1 [146 kB] Get:46 http://ftpmaster.internal/ubuntu focal/main amd64 gcc-9-base amd64 9.2.1-19ubuntu1 [19.2 kB] Get:47 http://ftpmaster.internal/ubuntu focal/main amd64 libstdc++6 amd64 9.2.1-19ubuntu1 [511 kB] Get:48 http://ftpmaster.internal/ubuntu focal/main amd64 g++-9 amd64 9.2.1-19ubuntu1 [10.2 MB] Get:49 http://ftpmaster.internal/ubuntu focal/main amd64 libstdc++-9-dev amd64 9.2.1-19ubuntu1 [1709 kB] Get:50 http://ftpmaster.internal/ubuntu focal/main amd64 libgcc-9-dev amd64 9.2.1-19ubuntu1 [2359 kB] Get:51 http://ftpmaster.internal/ubuntu focal/main amd64 gcc-9 amd64 9.2.1-19ubuntu1 [9772 kB] Get:52 http://ftpmaster.internal/ubuntu focal/main amd64 cpp-9 amd64 9.2.1-19ubuntu1 [8962 kB] Get:53 http://ftpmaster.internal/ubuntu focal/main amd64 libgcc1 amd64 1:9.2.1-19ubuntu1 [40.8 kB] Get:54 http://ftpmaster.internal/ubuntu focal/main amd64 libattr1 amd64 1:2.4.48-5 [12.7 kB] Get:55 http://ftpmaster.internal/ubuntu focal-proposed/main amd64 libdebconfclient0 amd64 0.250ubuntu1 [6384 B] Get:56 http://ftpmaster.internal/ubuntu focal/main amd64 libgcrypt20 amd64 1.8.5-3ubuntu1 [419 kB] Get:57 http://ftpmaster.internal/ubuntu focal/main amd64 libncurses6 amd64 6.1+20191019-1ubuntu1 [101 kB] Get:58 http://ftpmaster.internal/ubuntu focal/main amd64 libtinfo6 amd64 6.1+20191019-1ubuntu1 [85.9 kB] Get:59 http://ftpmaster.internal/ubuntu focal/main amd64 libncursesw6 amd64 6.1+20191019-1ubuntu1 [132 kB] Get:60 http://ftpmaster.internal/ubuntu focal-proposed/main amd64 libselinux1 amd64 2.9-3 [69.6 kB] Get:61 http://ftpmaster.internal/ubuntu focal/main amd64 libsemanage-common all 2.9-3build1 [9736 B] Get:62 http://ftpmaster.internal/ubuntu focal/main amd64 libsemanage1 amd64 2.9-3build1 [85.5 kB] Get:63 http://ftpmaster.internal/ubuntu focal/main amd64 libudev1 amd64 243-3ubuntu1 [79.1 kB] Get:64 http://ftpmaster.internal/ubuntu focal/main amd64 libsqlite3-0 amd64 3.30.1-1 [539 kB] Get:65 http://ftpmaster.internal/ubuntu focal/main amd64 liblockfile-bin amd64 1.16-1.1 [11.7 kB] Get:66 http://ftpmaster.internal/ubuntu focal/main amd64 liblockfile1 amd64 1.16-1.1 [6680 B] Get:67 http://ftpmaster.internal/ubuntu focal-proposed/main amd64 linux-libc-dev amd64 5.3.0-21.22 [1085 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 54.9 MB in 20s (2767 kB/s) (Reading database ... 12741 files and directories currently installed.) 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RUN: /usr/share/launchpad-buildd/bin/sbuild-package PACKAGEBUILD-18106779 amd64 focal-proposed -c chroot:build-PACKAGEBUILD-18106779 --arch=amd64 --dist=focal-proposed --nolog -A octave-stk_2.6.1-2.dsc Initiating build PACKAGEBUILD-18106779 with 4 jobs across 4 processor cores. Kernel reported to sbuild: 4.4.0-169-generic #198-Ubuntu SMP Tue Nov 12 10:38:00 UTC 2019 x86_64 sbuild (Debian sbuild) 0.67.0 (26 Dec 2015) on lcy01-amd64-008.buildd +==============================================================================+ | octave-stk 2.6.1-2 (amd64) 14 Nov 2019 17:13 | +==============================================================================+ Package: octave-stk Version: 2.6.1-2 Source Version: 2.6.1-2 Distribution: focal-proposed Machine Architecture: amd64 Host Architecture: amd64 Build Architecture: amd64 I: NOTICE: Log filtering will replace 'build/octave-stk-Tytny5/octave-stk-2.6.1' with '<>' I: NOTICE: Log filtering will replace 'build/octave-stk-Tytny5' with '<>' I: NOTICE: Log filtering will replace 'home/buildd/build-PACKAGEBUILD-18106779/chroot-autobuild' with '<>' +------------------------------------------------------------------------------+ | Fetch source files | +------------------------------------------------------------------------------+ Local sources ------------- octave-stk_2.6.1-2.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-1CyYNn/apt_archive/sbuild-build-depends-core-dummy.deb'. Ign:1 copy:/<>/resolver-1CyYNn/apt_archive ./ InRelease Get:2 copy:/<>/resolver-1CyYNn/apt_archive ./ Release [2119 B] Ign:3 copy:/<>/resolver-1CyYNn/apt_archive ./ Release.gpg Get:4 copy:/<>/resolver-1CyYNn/apt_archive ./ Sources [214 B] Get:5 copy:/<>/resolver-1CyYNn/apt_archive ./ Packages [526 B] Fetched 2859 B in 0s (180 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 packages were automatically installed and are no longer required: libhogweed4 libnettle6 libperl5.28 perl-modules-5.28 Use 'apt autoremove' to remove them. 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-1CyYNn/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 ... 14671 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 (= 12), dh-octave (>= 0.7.1) Filtered Build-Depends: debhelper-compat (= 12), dh-octave (>= 0.7.1) dpkg-deb: building package 'sbuild-build-depends-octave-stk-dummy' in '/<>/resolver-hRaBrl/apt_archive/sbuild-build-depends-octave-stk-dummy.deb'. Ign:1 copy:/<>/resolver-hRaBrl/apt_archive ./ InRelease Get:2 copy:/<>/resolver-hRaBrl/apt_archive ./ Release [2119 B] Ign:3 copy:/<>/resolver-hRaBrl/apt_archive ./ Release.gpg Get:4 copy:/<>/resolver-hRaBrl/apt_archive ./ Sources [231 B] Get:5 copy:/<>/resolver-hRaBrl/apt_archive ./ Packages [546 B] Fetched 2896 B in 0s (207 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 packages were automatically installed and are no longer required: libhogweed4 libnettle6 libperl5.28 perl-modules-5.28 Use 'apt autoremove' to remove them. The following additional packages will be installed: aglfn autoconf automake autopoint autotools-dev bsdmainutils cme debhelper dh-autoreconf dh-octave dh-octave-autopkgtest dh-strip-nondeterminism dwz file fontconfig fontconfig-config fonts-dejavu-core fonts-freefont-otf gettext gettext-base gfortran gfortran-9 gnuplot-data gnuplot-nox groff-base hdf5-helpers intltool-debian libaec-dev libaec0 libamd2 libapp-cmd-perl libarchive-zip-perl libarpack2 libasn1-8-heimdal libasound2 libasound2-data libavahi-client3 libavahi-common-data libavahi-common3 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-load-perl libclone-choose-perl libcolamd2 libconfig-model-perl libconvert-binhex-perl libcroco3 libcups2 libcurl3-gnutls libcxsparse3 libdata-optlist-perl libdatrie1 libdbus-1-3 libdebhelper-perl libdevel-callchecker-perl libdouble-conversion3 libdrm-amdgpu1 libdrm-common libdrm-dev libdrm-intel1 libdrm-nouveau2 libdrm-radeon1 libdrm2 libdynaloader-functions-perl libedit2 libegl-mesa0 libegl1 libelf1 libencode-locale-perl liberror-perl libevdev2 libexpat1 libexporter-lite-perl libexporter-tiny-perl libfftw3-bin libfftw3-dev libfftw3-double3 libfftw3-long3 libfftw3-quad3 libfftw3-single3 libfile-find-rule-perl libfile-homedir-perl libfile-listing-perl libfile-stripnondeterminism-perl libfile-which-perl libflac8 libfltk-gl1.3 libfltk1.3 libfontconfig1 libfreetype6 libfribidi0 libgbm1 libgd3 libgetopt-long-descriptive-perl libgfortran-9-dev libgfortran5 libgl1 libgl1-mesa-dev libgl1-mesa-dri libgl2ps1.4 libglapi-mesa libgles1 libgles2 libglib2.0-0 libglpk40 libglu1-mesa libglvnd-core-dev libglvnd-dev libglvnd0 libglx-mesa0 libglx0 libgraphicsmagick++-q16-12 libgraphicsmagick-q16-3 libgraphite2-3 libgssapi-krb5-2 libgssapi3-heimdal libgudev-1.0-0 libharfbuzz0b libhash-merge-perl libhcrypto4-heimdal libhdf5-103 libhdf5-cpp-103 libhdf5-dev 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 libicu63 libinput-bin libinput10 libio-html-perl libio-socket-ssl-perl libio-stringy-perl libio-tiecombine-perl libjack-jackd2-0 libjbig0 libjpeg-dev libjpeg-turbo8 libjpeg-turbo8-dev libjpeg8 libjpeg8-dev libjson-perl libk5crypto3 libkeyutils1 libkrb5-26-heimdal libkrb5-3 libkrb5support0 liblapack-dev liblapack3 liblcms2-2 libldap-2.4-2 libldap-common liblist-moreutils-perl libllvm9 liblog-log4perl-perl libltdl7 liblua5.3-0 liblwp-mediatypes-perl liblwp-protocol-https-perl libmagic-mgc libmagic1 libmailtools-perl libmetis5 libmime-tools-perl libmodule-implementation-perl libmodule-pluggable-perl libmodule-runtime-perl libmouse-perl libmousex-nativetraits-perl libmousex-strictconstructor-perl libmtdev1 libncurses-dev libnet-http-perl libnet-smtp-ssl-perl libnet-ssleay-perl libnghttp2-14 libnumber-compare-perl liboctave-dev liboctave7 libogg0 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-tiny-perl libpciaccess0 libpcre2-16-0 libpipeline1 libpixman-1-0 libpod-pom-perl libportaudio2 libpsl5 libpthread-stubs0-dev libqhull7 libqrupdate1 libqscintilla2-qt5-13 libqscintilla2-qt5-l10n libqt5core5a libqt5dbus5 libqt5gui5 libqt5help5 libqt5network5 libqt5printsupport5 libqt5sql5 libqt5widgets5 libqt5xml5 libreadline-dev libregexp-common-perl libroken18-heimdal librtmp1 libsamplerate0 libsasl2-2 libsasl2-modules-db libsensors-config libsensors5 libsigsegv2 libsm6 libsndfile1 libssh-4 libstring-rewriteprefix-perl libsub-exporter-perl libsub-install-perl libsub-override-perl libsub-uplevel-perl libsuitesparseconfig5 libsz2 libtest-exception-perl libtext-glob-perl libtext-unidecode-perl libthai-data libthai0 libtiff5 libtimedate-perl libtool libtry-tiny-perl libuchardet0 libumfpack5 liburi-perl libvorbis0a libvorbisenc2 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-xcb-dev libx11-xcb1 libxau-dev libxau6 libxcb-dri2-0 libxcb-dri2-0-dev libxcb-dri3-0 libxcb-dri3-dev libxcb-glx0 libxcb-glx0-dev libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-present-dev libxcb-present0 libxcb-randr0 libxcb-randr0-dev libxcb-render-util0 libxcb-render0 libxcb-render0-dev libxcb-shape0 libxcb-shape0-dev libxcb-shm0 libxcb-sync-dev libxcb-sync1 libxcb-util1 libxcb-xfixes0 libxcb-xfixes0-dev libxcb-xinerama0 libxcb-xinput0 libxcb-xkb1 libxcb1 libxcb1-dev libxcursor1 libxdamage-dev libxdamage1 libxdmcp-dev libxdmcp6 libxext-dev libxext6 libxfixes-dev libxfixes3 libxft2 libxinerama1 libxkbcommon-x11-0 libxkbcommon0 libxml-libxml-perl libxml-namespacesupport-perl libxml-sax-base-perl libxml-sax-perl libxml2 libxpm4 libxrender1 libxshmfence-dev libxshmfence1 libxxf86vm-dev libxxf86vm1 libyaml-perl m4 man-db mesa-common-dev netbase octave octave-common perl-openssl-defaults po-debconf tex-common texinfo ucf x11-common x11proto-core-dev x11proto-damage-dev x11proto-dev x11proto-fixes-dev x11proto-xext-dev x11proto-xf86vidmode-dev xkb-data xorg-sgml-doctools xtrans-dev zlib1g-dev Suggested packages: autoconf-archive gnu-standards autoconf-doc wamerican | wordlist whois vacation libconfig-model-cursesui-perl libconfig-model-itself-perl dh-make gettext-doc libasprintf-dev libgettextpo-dev gfortran-multilib gfortran-doc gfortran-9-multilib gfortran-9-doc libgfortran5-dbg libcoarrays-dev gnuplot-doc groff libasound2-plugins alsa-utils liblapack-doc libconfig-model-dpkg-perl libconfig-model-openssh-perl libterm-readline-perl-perl | libterm-readline-gnu-perl cups-common libfftw3-doc 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 libscalar-number-perl pciutils libqscintilla2-doc qt5-image-formats-plugins qtwayland5 readline-doc lm-sensors libtool-doc gcj-jdk libwmf0.2-7-gtk libauthen-ntlm-perl libx11-doc libxcb-doc libxext-doc libyaml-shell-perl m4-doc apparmor less www-browser libmail-box-perl texlive-base texlive-latex-base texlive-generic-recommended texinfo-doc-nonfree texlive-fonts-recommended Recommended packages: libconfig-model-approx-perl libconfig-model-dpkg-perl libconfig-model-lcdproc-perl libconfig-model-openssh-perl libconfig-model-systemd-perl libconfig-model-tkui-perl curl | wget | lynx fonts-liberation groff libclone-perl | libclone-pp-perl bash-completion fuse libfuse-perl libtext-levenshtein-damerau-perl dbus libarchive-cpio-perl libglib2.0-data shared-mime-info xdg-user-dirs ghostscript gsfonts libhtml-format-perl libjson-xs-perl krb5-locales liblog-dispatch-perl libipc-shareable-perl libclass-method-modifiers-perl libauthen-sasl-perl libpackage-stash-xs-perl libtie-ixhash-perl libunicode-utf8-perl publicsuffix qttranslations5-l10n libqt5svg5 qt5-gtk-platformtheme libqt5sql5-sqlite | libqt5sql5-mysql | libqt5sql5-odbc | libqt5sql5-psql | libqt5sql5-tds | libqt5sql5-ibase libsasl2-modules libltdl-dev libwacom-bin libdata-dump-perl libhtml-form-perl libhttp-daemon-perl libxml-sax-expat-perl libyaml-libyaml-perl | libyaml-syck-perl libopenblas-base | 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 bsdmainutils cme debhelper dh-autoreconf dh-octave dh-octave-autopkgtest dh-strip-nondeterminism dwz file fontconfig fontconfig-config fonts-dejavu-core fonts-freefont-otf gettext gettext-base gfortran gfortran-9 gnuplot-data gnuplot-nox groff-base hdf5-helpers intltool-debian libaec-dev libaec0 libamd2 libapp-cmd-perl libarchive-zip-perl libarpack2 libasn1-8-heimdal libasound2 libasound2-data libavahi-client3 libavahi-common-data libavahi-common3 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-load-perl libclone-choose-perl libcolamd2 libconfig-model-perl libconvert-binhex-perl libcroco3 libcups2 libcurl3-gnutls libcxsparse3 libdata-optlist-perl libdatrie1 libdbus-1-3 libdebhelper-perl libdevel-callchecker-perl libdouble-conversion3 libdrm-amdgpu1 libdrm-common libdrm-dev libdrm-intel1 libdrm-nouveau2 libdrm-radeon1 libdrm2 libdynaloader-functions-perl libedit2 libegl-mesa0 libegl1 libelf1 libencode-locale-perl liberror-perl libevdev2 libexpat1 libexporter-lite-perl libexporter-tiny-perl libfftw3-bin libfftw3-dev libfftw3-double3 libfftw3-long3 libfftw3-quad3 libfftw3-single3 libfile-find-rule-perl libfile-homedir-perl libfile-listing-perl libfile-stripnondeterminism-perl libfile-which-perl libflac8 libfltk-gl1.3 libfltk1.3 libfontconfig1 libfreetype6 libfribidi0 libgbm1 libgd3 libgetopt-long-descriptive-perl libgfortran-9-dev libgfortran5 libgl1 libgl1-mesa-dev libgl1-mesa-dri libgl2ps1.4 libglapi-mesa libgles1 libgles2 libglib2.0-0 libglpk40 libglu1-mesa libglvnd-core-dev libglvnd-dev libglvnd0 libglx-mesa0 libglx0 libgraphicsmagick++-q16-12 libgraphicsmagick-q16-3 libgraphite2-3 libgssapi-krb5-2 libgssapi3-heimdal libgudev-1.0-0 libharfbuzz0b libhash-merge-perl libhcrypto4-heimdal libhdf5-103 libhdf5-cpp-103 libhdf5-dev 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 libicu63 libinput-bin libinput10 libio-html-perl libio-socket-ssl-perl libio-stringy-perl libio-tiecombine-perl libjack-jackd2-0 libjbig0 libjpeg-dev libjpeg-turbo8 libjpeg-turbo8-dev libjpeg8 libjpeg8-dev libjson-perl libk5crypto3 libkeyutils1 libkrb5-26-heimdal libkrb5-3 libkrb5support0 liblapack-dev liblapack3 liblcms2-2 libldap-2.4-2 libldap-common liblist-moreutils-perl libllvm9 liblog-log4perl-perl libltdl7 liblua5.3-0 liblwp-mediatypes-perl liblwp-protocol-https-perl libmagic-mgc libmagic1 libmailtools-perl libmetis5 libmime-tools-perl libmodule-implementation-perl libmodule-pluggable-perl libmodule-runtime-perl libmouse-perl libmousex-nativetraits-perl libmousex-strictconstructor-perl libmtdev1 libncurses-dev libnet-http-perl libnet-smtp-ssl-perl libnet-ssleay-perl libnghttp2-14 libnumber-compare-perl liboctave-dev liboctave7 libogg0 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-tiny-perl libpciaccess0 libpcre2-16-0 libpipeline1 libpixman-1-0 libpod-pom-perl libportaudio2 libpsl5 libpthread-stubs0-dev libqhull7 libqrupdate1 libqscintilla2-qt5-13 libqscintilla2-qt5-l10n libqt5core5a libqt5dbus5 libqt5gui5 libqt5help5 libqt5network5 libqt5printsupport5 libqt5sql5 libqt5widgets5 libqt5xml5 libreadline-dev libregexp-common-perl libroken18-heimdal librtmp1 libsamplerate0 libsasl2-2 libsasl2-modules-db libsensors-config libsensors5 libsigsegv2 libsm6 libsndfile1 libssh-4 libstring-rewriteprefix-perl libsub-exporter-perl libsub-install-perl libsub-override-perl libsub-uplevel-perl libsuitesparseconfig5 libsz2 libtest-exception-perl libtext-glob-perl libtext-unidecode-perl libthai-data libthai0 libtiff5 libtimedate-perl libtool libtry-tiny-perl libuchardet0 libumfpack5 liburi-perl libvorbis0a libvorbisenc2 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-xcb-dev libx11-xcb1 libxau-dev libxau6 libxcb-dri2-0 libxcb-dri2-0-dev libxcb-dri3-0 libxcb-dri3-dev libxcb-glx0 libxcb-glx0-dev libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-present-dev libxcb-present0 libxcb-randr0 libxcb-randr0-dev libxcb-render-util0 libxcb-render0 libxcb-render0-dev libxcb-shape0 libxcb-shape0-dev libxcb-shm0 libxcb-sync-dev libxcb-sync1 libxcb-util1 libxcb-xfixes0 libxcb-xfixes0-dev libxcb-xinerama0 libxcb-xinput0 libxcb-xkb1 libxcb1 libxcb1-dev libxcursor1 libxdamage-dev libxdamage1 libxdmcp-dev libxdmcp6 libxext-dev libxext6 libxfixes-dev libxfixes3 libxft2 libxinerama1 libxkbcommon-x11-0 libxkbcommon0 libxml-libxml-perl libxml-namespacesupport-perl libxml-sax-base-perl libxml-sax-perl libxml2 libxpm4 libxrender1 libxshmfence-dev libxshmfence1 libxxf86vm-dev libxxf86vm1 libyaml-perl m4 man-db mesa-common-dev netbase octave octave-common perl-openssl-defaults po-debconf sbuild-build-depends-octave-stk-dummy tex-common texinfo ucf x11-common x11proto-core-dev x11proto-damage-dev x11proto-dev x11proto-fixes-dev x11proto-xext-dev x11proto-xf86vidmode-dev xkb-data xorg-sgml-doctools xtrans-dev zlib1g-dev 0 upgraded, 358 newly installed, 0 to remove and 0 not upgraded. Need to get 120 MB of archives. After this operation, 700 MB of additional disk space will be used. Get:1 copy:/<>/resolver-hRaBrl/apt_archive ./ sbuild-build-depends-octave-stk-dummy 0.invalid.0 [876 B] Get:2 http://ftpmaster.internal/ubuntu focal/main amd64 libbsd0 amd64 0.10.0-1 [45.4 kB] Get:3 http://ftpmaster.internal/ubuntu focal/main amd64 bsdmainutils amd64 11.1.2ubuntu2 [181 kB] Get:4 http://ftpmaster.internal/ubuntu focal/main amd64 libuchardet0 amd64 0.0.6-3 [64.9 kB] Get:5 http://ftpmaster.internal/ubuntu focal/main amd64 groff-base amd64 1.22.4-3 [862 kB] Get:6 http://ftpmaster.internal/ubuntu focal/main amd64 libpipeline1 amd64 1.5.1-2 [25.9 kB] Get:7 http://ftpmaster.internal/ubuntu focal/main amd64 man-db amd64 2.9.0-1 [1115 kB] Get:8 http://ftpmaster.internal/ubuntu focal/main amd64 ucf all 3.0038+nmu1 [51.6 kB] Get:9 http://ftpmaster.internal/ubuntu focal/main amd64 tex-common all 6.12 [32.7 kB] Get:10 http://ftpmaster.internal/ubuntu focal/main amd64 libmagic-mgc amd64 1:5.37-6 [209 kB] Get:11 http://ftpmaster.internal/ubuntu focal/main amd64 libmagic1 amd64 1:5.37-6 [75.3 kB] Get:12 http://ftpmaster.internal/ubuntu focal/main amd64 file amd64 1:5.37-6 [23.2 kB] Get:13 http://ftpmaster.internal/ubuntu focal/main amd64 libdbus-1-3 amd64 1.12.14-1ubuntu2 [179 kB] Get:14 http://ftpmaster.internal/ubuntu focal/main amd64 libelf1 amd64 0.176-1.1 [44.1 kB] Get:15 http://ftpmaster.internal/ubuntu focal/main amd64 libexpat1 amd64 2.2.9-1 [73.3 kB] Get:16 http://ftpmaster.internal/ubuntu focal/main amd64 libfribidi0 amd64 1.0.7-1.1 [23.6 kB] Get:17 http://ftpmaster.internal/ubuntu focal-proposed/main amd64 libglib2.0-0 amd64 2.63.1-1 [1270 kB] Get:18 http://ftpmaster.internal/ubuntu focal/main amd64 libicu63 amd64 63.2-2 [8294 kB] Get:19 http://ftpmaster.internal/ubuntu focal/main amd64 libxml2 amd64 2.9.4+dfsg1-7ubuntu5 [648 kB] Get:20 http://ftpmaster.internal/ubuntu focal/main amd64 netbase all 5.6 [13.0 kB] Get:21 http://ftpmaster.internal/ubuntu focal/main amd64 xkb-data all 2.26-2ubuntu2 [333 kB] Get:22 http://ftpmaster.internal/ubuntu focal/main amd64 gettext-base amd64 0.19.8.1-9 [50.1 kB] Get:23 http://ftpmaster.internal/ubuntu focal/main amd64 libdrm-common all 2.4.99-1ubuntu1 [5244 B] Get:24 http://ftpmaster.internal/ubuntu focal/main amd64 libdrm2 amd64 2.4.99-1ubuntu1 [31.7 kB] Get:25 http://ftpmaster.internal/ubuntu focal/main amd64 libedit2 amd64 3.1-20191025-1 [86.9 kB] Get:26 http://ftpmaster.internal/ubuntu focal/main amd64 libkrb5support0 amd64 1.17-6 [31.4 kB] Get:27 http://ftpmaster.internal/ubuntu focal/main amd64 libk5crypto3 amd64 1.17-6 [80.2 kB] Get:28 http://ftpmaster.internal/ubuntu focal/main amd64 libkeyutils1 amd64 1.6-6ubuntu1 [10.2 kB] Get:29 http://ftpmaster.internal/ubuntu focal/main amd64 libkrb5-3 amd64 1.17-6 [330 kB] Get:30 http://ftpmaster.internal/ubuntu focal/main amd64 libgssapi-krb5-2 amd64 1.17-6 [121 kB] Get:31 http://ftpmaster.internal/ubuntu focal/main amd64 libpsl5 amd64 0.20.2-2 [50.0 kB] Get:32 http://ftpmaster.internal/ubuntu focal/main amd64 libxau6 amd64 1:1.0.9-0ubuntu1 [7488 B] Get:33 http://ftpmaster.internal/ubuntu focal/main amd64 libxdmcp6 amd64 1:1.1.3-0ubuntu1 [10.6 kB] Get:34 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb1 amd64 1.13.1-2 [45.2 kB] Get:35 http://ftpmaster.internal/ubuntu focal/main amd64 libx11-data all 2:1.6.8-1 [113 kB] Get:36 http://ftpmaster.internal/ubuntu focal/main amd64 libx11-6 amd64 2:1.6.8-1 [573 kB] Get:37 http://ftpmaster.internal/ubuntu focal/main amd64 libxext6 amd64 2:1.3.4-0ubuntu1 [29.1 kB] Get:38 http://ftpmaster.internal/ubuntu focal/main amd64 libsigsegv2 amd64 2.12-2 [13.9 kB] Get:39 http://ftpmaster.internal/ubuntu focal/main amd64 m4 amd64 1.4.18-4 [199 kB] Get:40 http://ftpmaster.internal/ubuntu focal/main amd64 autoconf all 2.69-11ubuntu1 [321 kB] Get:41 http://ftpmaster.internal/ubuntu focal/main amd64 autotools-dev all 20180224.1 [39.6 kB] Get:42 http://ftpmaster.internal/ubuntu focal/main amd64 automake all 1:1.16.1-4ubuntu3 [522 kB] Get:43 http://ftpmaster.internal/ubuntu focal/main amd64 autopoint all 0.19.8.1-9 [412 kB] Get:44 http://ftpmaster.internal/ubuntu focal/main amd64 libcapture-tiny-perl all 0.48-1 [20.4 kB] Get:45 http://ftpmaster.internal/ubuntu focal/main amd64 libparams-util-perl amd64 1.07-3build5 [19.7 kB] Get:46 http://ftpmaster.internal/ubuntu focal/main amd64 libsub-install-perl all 0.928-1 [10.5 kB] Get:47 http://ftpmaster.internal/ubuntu focal/main amd64 libdata-optlist-perl all 0.110-1 [9956 B] Get:48 http://ftpmaster.internal/ubuntu focal/main amd64 libb-hooks-op-check-perl amd64 0.22-1build2 [10.2 kB] Get:49 http://ftpmaster.internal/ubuntu focal/main amd64 libdynaloader-functions-perl all 0.003-1 [11.9 kB] Get:50 http://ftpmaster.internal/ubuntu focal/main amd64 libdevel-callchecker-perl amd64 0.008-1build1 [14.4 kB] Get:51 http://ftpmaster.internal/ubuntu focal/main amd64 libparams-classify-perl amd64 0.015-1build2 [21.1 kB] Get:52 http://ftpmaster.internal/ubuntu focal/main amd64 libmodule-runtime-perl all 0.016-1 [16.2 kB] Get:53 http://ftpmaster.internal/ubuntu focal/main amd64 libtry-tiny-perl all 0.30-1 [20.5 kB] Get:54 http://ftpmaster.internal/ubuntu focal/main amd64 libmodule-implementation-perl all 0.09-1 [12.2 kB] Get:55 http://ftpmaster.internal/ubuntu focal/main amd64 libpackage-stash-perl all 0.38-1 [19.1 kB] Get:56 http://ftpmaster.internal/ubuntu focal/universe amd64 libclass-load-perl all 0.25-1 [13.5 kB] Get:57 http://ftpmaster.internal/ubuntu focal/main amd64 libio-stringy-perl all 2.111-3 [55.8 kB] Get:58 http://ftpmaster.internal/ubuntu focal/main amd64 libparams-validate-perl amd64 1.29-3 [52.7 kB] Get:59 http://ftpmaster.internal/ubuntu focal/main amd64 libsub-exporter-perl all 0.987-1 [44.9 kB] Get:60 http://ftpmaster.internal/ubuntu focal/main amd64 libgetopt-long-descriptive-perl all 0.104-1 [24.6 kB] Get:61 http://ftpmaster.internal/ubuntu focal/universe amd64 libio-tiecombine-perl all 1.005-1 [12.5 kB] Get:62 http://ftpmaster.internal/ubuntu focal/universe amd64 libmodule-pluggable-perl all 5.2-1 [21.9 kB] Get:63 http://ftpmaster.internal/ubuntu focal/universe amd64 libstring-rewriteprefix-perl all 0.007-2 [6064 B] Get:64 http://ftpmaster.internal/ubuntu focal/universe amd64 libapp-cmd-perl all 0.331-1 [58.6 kB] Get:65 http://ftpmaster.internal/ubuntu focal/universe amd64 libboolean-perl all 0.46-1 [8654 B] Get:66 http://ftpmaster.internal/ubuntu focal/universe amd64 libcarp-assert-perl all 0.21-1 [16.6 kB] Get:67 http://ftpmaster.internal/ubuntu focal/universe amd64 libsub-uplevel-perl all 0.2800-1 [13.5 kB] Get:68 http://ftpmaster.internal/ubuntu focal/universe amd64 libtest-exception-perl all 0.43-1 [14.7 kB] Get:69 http://ftpmaster.internal/ubuntu focal/universe amd64 libcarp-assert-more-perl all 1.20-1 [15.0 kB] Get:70 http://ftpmaster.internal/ubuntu focal/main amd64 libfile-which-perl all 1.23-1 [13.8 kB] Get:71 http://ftpmaster.internal/ubuntu focal/main amd64 libfile-homedir-perl all 1.004-1 [37.3 kB] Get:72 http://ftpmaster.internal/ubuntu focal/universe amd64 libclone-choose-perl all 0.010-1 [7672 B] Get:73 http://ftpmaster.internal/ubuntu focal/universe amd64 libhash-merge-perl all 0.300-1 [12.8 kB] Get:74 http://ftpmaster.internal/ubuntu focal/main amd64 libjson-perl all 4.02000-1 [81.0 kB] Get:75 http://ftpmaster.internal/ubuntu focal/main amd64 libexporter-tiny-perl all 1.002001-1 [35.5 kB] Get:76 http://ftpmaster.internal/ubuntu focal/main amd64 liblist-moreutils-perl amd64 0.416-1build5 [55.5 kB] Get:77 http://ftpmaster.internal/ubuntu focal/universe amd64 liblog-log4perl-perl all 1.49-1 [344 kB] Get:78 http://ftpmaster.internal/ubuntu focal/universe amd64 libmouse-perl amd64 2.5.9-1 [155 kB] Get:79 http://ftpmaster.internal/ubuntu focal/universe amd64 libmousex-nativetraits-perl all 1.09-2 [66.7 kB] Get:80 http://ftpmaster.internal/ubuntu focal/universe amd64 libmousex-strictconstructor-perl all 0.02-2 [4812 B] Get:81 http://ftpmaster.internal/ubuntu focal/universe amd64 libparse-recdescent-perl all 1.967015+dfsg-2 [145 kB] Get:82 http://ftpmaster.internal/ubuntu focal/main amd64 libpath-tiny-perl all 0.108-1 [42.6 kB] Get:83 http://ftpmaster.internal/ubuntu focal/universe amd64 libpod-pom-perl all 2.01-3 [62.6 kB] Get:84 http://ftpmaster.internal/ubuntu focal/universe amd64 libregexp-common-perl all 2017060201-1 [168 kB] Get:85 http://ftpmaster.internal/ubuntu focal/universe amd64 libconfig-model-perl all 2.136-1 [397 kB] Get:86 http://ftpmaster.internal/ubuntu focal/main amd64 libyaml-perl all 1.29-1 [58.1 kB] Get:87 http://ftpmaster.internal/ubuntu focal/universe amd64 cme all 1.030-1 [76.0 kB] Get:88 http://ftpmaster.internal/ubuntu focal/main amd64 libtool all 2.4.6-11 [194 kB] Get:89 http://ftpmaster.internal/ubuntu focal/main amd64 dh-autoreconf all 19 [16.1 kB] Get:90 http://ftpmaster.internal/ubuntu focal/main amd64 libdebhelper-perl all 12.7.1ubuntu1 [52.0 kB] Get:91 http://ftpmaster.internal/ubuntu focal/main amd64 libarchive-zip-perl all 1.67-1 [90.4 kB] Get:92 http://ftpmaster.internal/ubuntu focal/main amd64 libsub-override-perl all 0.09-2 [9532 B] Get:93 http://ftpmaster.internal/ubuntu focal/main amd64 libfile-stripnondeterminism-perl all 1.6.2-1 [16.1 kB] Get:94 http://ftpmaster.internal/ubuntu focal/main amd64 dh-strip-nondeterminism all 1.6.2-1 [5228 B] Get:95 http://ftpmaster.internal/ubuntu focal/main amd64 dwz amd64 0.13-2 [145 kB] Get:96 http://ftpmaster.internal/ubuntu focal/main amd64 libcroco3 amd64 0.6.13-1 [82.5 kB] Get:97 http://ftpmaster.internal/ubuntu focal/main amd64 gettext amd64 0.19.8.1-9 [896 kB] Get:98 http://ftpmaster.internal/ubuntu focal/main amd64 intltool-debian all 0.35.0+20060710.5 [24.9 kB] Get:99 http://ftpmaster.internal/ubuntu focal/main amd64 po-debconf all 1.0.21 [233 kB] Get:100 http://ftpmaster.internal/ubuntu focal/main amd64 debhelper all 12.7.1ubuntu1 [875 kB] Get:101 http://ftpmaster.internal/ubuntu focal/main amd64 libblas3 amd64 3.8.0-8ubuntu1 [141 kB] Get:102 http://ftpmaster.internal/ubuntu focal/main amd64 libgfortran5 amd64 9.2.1-19ubuntu1 [642 kB] Get:103 http://ftpmaster.internal/ubuntu focal/main amd64 liblapack3 amd64 3.8.0-8ubuntu1 [2112 kB] Get:104 http://ftpmaster.internal/ubuntu focal/universe amd64 libarpack2 amd64 3.7.0-3 [92.8 kB] Get:105 http://ftpmaster.internal/ubuntu focal/main amd64 libsuitesparseconfig5 amd64 1:5.4.0+dfsg-1 [9212 B] Get:106 http://ftpmaster.internal/ubuntu focal/main amd64 libamd2 amd64 1:5.4.0+dfsg-1 [19.4 kB] Get:107 http://ftpmaster.internal/ubuntu focal/main amd64 libcamd2 amd64 1:5.4.0+dfsg-1 [20.9 kB] Get:108 http://ftpmaster.internal/ubuntu focal/main amd64 libccolamd2 amd64 1:5.4.0+dfsg-1 [22.4 kB] Get:109 http://ftpmaster.internal/ubuntu focal/main amd64 libcolamd2 amd64 1:5.4.0+dfsg-1 [16.4 kB] Get:110 http://ftpmaster.internal/ubuntu focal/main amd64 libmetis5 amd64 5.1.0.dfsg-5 [169 kB] Get:111 http://ftpmaster.internal/ubuntu focal/main amd64 libcholmod3 amd64 1:5.4.0+dfsg-1 [308 kB] Get:112 http://ftpmaster.internal/ubuntu focal/main amd64 libbrotli1 amd64 1.0.7-5 [265 kB] Get:113 http://ftpmaster.internal/ubuntu focal/main amd64 libroken18-heimdal amd64 7.5.0+dfsg-3build1 [41.8 kB] Get:114 http://ftpmaster.internal/ubuntu focal/main amd64 libasn1-8-heimdal amd64 7.5.0+dfsg-3build1 [181 kB] Get:115 http://ftpmaster.internal/ubuntu focal/main amd64 libheimbase1-heimdal amd64 7.5.0+dfsg-3build1 [29.7 kB] Get:116 http://ftpmaster.internal/ubuntu focal/main amd64 libhcrypto4-heimdal amd64 7.5.0+dfsg-3build1 [87.2 kB] Get:117 http://ftpmaster.internal/ubuntu focal/main amd64 libwind0-heimdal amd64 7.5.0+dfsg-3build1 [47.9 kB] Get:118 http://ftpmaster.internal/ubuntu focal/main amd64 libhx509-5-heimdal amd64 7.5.0+dfsg-3build1 [107 kB] Get:119 http://ftpmaster.internal/ubuntu focal/main amd64 libkrb5-26-heimdal amd64 7.5.0+dfsg-3build1 [206 kB] Get:120 http://ftpmaster.internal/ubuntu focal/main amd64 libheimntlm0-heimdal amd64 7.5.0+dfsg-3build1 [15.0 kB] Get:121 http://ftpmaster.internal/ubuntu focal/main amd64 libgssapi3-heimdal amd64 7.5.0+dfsg-3build1 [96.0 kB] Get:122 http://ftpmaster.internal/ubuntu focal/main amd64 libsasl2-modules-db amd64 2.1.27+dfsg-1build3 [14.6 kB] Get:123 http://ftpmaster.internal/ubuntu focal/main amd64 libsasl2-2 amd64 2.1.27+dfsg-1build3 [49.4 kB] Get:124 http://ftpmaster.internal/ubuntu focal/main amd64 libldap-common all 2.4.48+dfsg-1ubuntu3 [17.3 kB] Get:125 http://ftpmaster.internal/ubuntu focal/main amd64 libldap-2.4-2 amd64 2.4.48+dfsg-1ubuntu3 [155 kB] Get:126 http://ftpmaster.internal/ubuntu focal/main amd64 libnghttp2-14 amd64 1.39.2-1 [79.1 kB] Get:127 http://ftpmaster.internal/ubuntu focal/main amd64 librtmp1 amd64 2.4+20151223.gitfa8646d.1-2build1 [54.9 kB] Get:128 http://ftpmaster.internal/ubuntu focal/main amd64 libssh-4 amd64 0.9.0-1ubuntu1 [196 kB] Get:129 http://ftpmaster.internal/ubuntu focal-proposed/main amd64 libcurl3-gnutls amd64 7.66.0-1ubuntu1 [231 kB] Get:130 http://ftpmaster.internal/ubuntu focal/main amd64 libcxsparse3 amd64 1:5.4.0+dfsg-1 [62.0 kB] Get:131 http://ftpmaster.internal/ubuntu focal/main amd64 libfftw3-double3 amd64 3.3.8-2 [727 kB] Get:132 http://ftpmaster.internal/ubuntu focal/main amd64 libfftw3-single3 amd64 3.3.8-2 [757 kB] Get:133 http://ftpmaster.internal/ubuntu focal/main amd64 libfreetype6 amd64 2.10.1-2 [341 kB] Get:134 http://ftpmaster.internal/ubuntu focal/main amd64 fonts-dejavu-core all 2.37-1 [1041 kB] Get:135 http://ftpmaster.internal/ubuntu focal/main amd64 fontconfig-config all 2.13.1-2ubuntu2 [28.9 kB] Get:136 http://ftpmaster.internal/ubuntu focal/main amd64 libfontconfig1 amd64 2.13.1-2ubuntu2 [114 kB] Get:137 http://ftpmaster.internal/ubuntu focal/main amd64 libglvnd0 amd64 1.1.1-0ubuntu1 [45.4 kB] Get:138 http://ftpmaster.internal/ubuntu focal/main amd64 libglapi-mesa amd64 19.2.1-1ubuntu1 [26.4 kB] Get:139 http://ftpmaster.internal/ubuntu focal/main amd64 libx11-xcb1 amd64 2:1.6.8-1 [9236 B] Get:140 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-dri2-0 amd64 1.13.1-2 [6892 B] Get:141 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-dri3-0 amd64 1.13.1-2 [6488 B] Get:142 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-glx0 amd64 1.13.1-2 [21.9 kB] Get:143 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-present0 amd64 1.13.1-2 [5544 B] Get:144 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-sync1 amd64 1.13.1-2 [8832 B] Get:145 http://ftpmaster.internal/ubuntu focal/main amd64 libxdamage1 amd64 1:1.1.5-1 [7028 B] Get:146 http://ftpmaster.internal/ubuntu focal/main amd64 libxfixes3 amd64 1:5.0.3-1 [10.8 kB] Get:147 http://ftpmaster.internal/ubuntu focal/main amd64 libxshmfence1 amd64 1.3-1 [5028 B] Get:148 http://ftpmaster.internal/ubuntu focal/main amd64 libxxf86vm1 amd64 1:1.1.4-1build1 [10.2 kB] Get:149 http://ftpmaster.internal/ubuntu focal/main amd64 libdrm-amdgpu1 amd64 2.4.99-1ubuntu1 [18.2 kB] Get:150 http://ftpmaster.internal/ubuntu focal/main amd64 libpciaccess0 amd64 0.16-0ubuntu1 [17.9 kB] Get:151 http://ftpmaster.internal/ubuntu focal/main amd64 libdrm-intel1 amd64 2.4.99-1ubuntu1 [60.2 kB] Get:152 http://ftpmaster.internal/ubuntu focal/main amd64 libdrm-nouveau2 amd64 2.4.99-1ubuntu1 [16.4 kB] Get:153 http://ftpmaster.internal/ubuntu focal/main amd64 libdrm-radeon1 amd64 2.4.99-1ubuntu1 [19.6 kB] Get:154 http://ftpmaster.internal/ubuntu focal/main amd64 libllvm9 amd64 1:9.0.0-3ubuntu2 [14.8 MB] Get:155 http://ftpmaster.internal/ubuntu focal/main amd64 libsensors-config all 1:3.6.0-2ubuntu1 [6092 B] Get:156 http://ftpmaster.internal/ubuntu focal/main amd64 libsensors5 amd64 1:3.6.0-2ubuntu1 [27.4 kB] Get:157 http://ftpmaster.internal/ubuntu focal/main amd64 libgl1-mesa-dri amd64 19.2.1-1ubuntu1 [8919 kB] Get:158 http://ftpmaster.internal/ubuntu focal/main amd64 libglx-mesa0 amd64 19.2.1-1ubuntu1 [139 kB] Get:159 http://ftpmaster.internal/ubuntu focal/main amd64 libglx0 amd64 1.1.1-0ubuntu1 [28.2 kB] Get:160 http://ftpmaster.internal/ubuntu focal/main amd64 libgl1 amd64 1.1.1-0ubuntu1 [88.3 kB] Get:161 http://ftpmaster.internal/ubuntu focal/universe amd64 libgl2ps1.4 amd64 1.4.0+dfsg1-2 [38.2 kB] Get:162 http://ftpmaster.internal/ubuntu focal/main amd64 libglu1-mesa amd64 9.0.1-0ubuntu1 [168 kB] Get:163 http://ftpmaster.internal/ubuntu focal/main amd64 libjbig0 amd64 2.1-3.1build1 [26.7 kB] Get:164 http://ftpmaster.internal/ubuntu focal/main amd64 libjpeg-turbo8 amd64 2.0.3-0ubuntu1 [118 kB] Get:165 http://ftpmaster.internal/ubuntu focal/main amd64 libjpeg8 amd64 8c-2ubuntu8 [2194 B] Get:166 http://ftpmaster.internal/ubuntu focal/main amd64 libwebp6 amd64 0.6.1-2 [185 kB] Get:167 http://ftpmaster.internal/ubuntu focal-proposed/main amd64 libtiff5 amd64 4.1.0-1 [162 kB] Get:168 http://ftpmaster.internal/ubuntu focal/main amd64 liblcms2-2 amd64 2.9-4 [140 kB] Get:169 http://ftpmaster.internal/ubuntu focal/main amd64 libwebpmux3 amd64 0.6.1-2 [19.6 kB] Get:170 http://ftpmaster.internal/ubuntu focal/main amd64 libwmf0.2-7 amd64 0.2.8.4-15 [149 kB] Get:171 http://ftpmaster.internal/ubuntu focal/universe amd64 libgraphicsmagick-q16-3 amd64 1.4+really1.3.33+hg16117-1 [1132 kB] Get:172 http://ftpmaster.internal/ubuntu focal/universe amd64 libgraphicsmagick++-q16-12 amd64 1.4+really1.3.33+hg16117-1 [103 kB] Get:173 http://ftpmaster.internal/ubuntu focal/universe amd64 libaec0 amd64 1.0.4-1 [19.1 kB] Get:174 http://ftpmaster.internal/ubuntu focal/universe amd64 libsz2 amd64 1.0.4-1 [5188 B] Get:175 http://ftpmaster.internal/ubuntu focal/universe amd64 libhdf5-103 amd64 1.10.4+repack-10 [1299 kB] Get:176 http://ftpmaster.internal/ubuntu focal/universe amd64 libqrupdate1 amd64 1.1.2-3 [36.2 kB] Get:177 http://ftpmaster.internal/ubuntu focal/main amd64 libumfpack5 amd64 1:5.4.0+dfsg-1 [228 kB] Get:178 http://ftpmaster.internal/ubuntu focal/universe amd64 liboctave7 amd64 5.1.0-4 [7490 kB] Get:179 http://ftpmaster.internal/ubuntu focal/main amd64 libxrender1 amd64 1:0.9.10-1 [18.7 kB] Get:180 http://ftpmaster.internal/ubuntu focal/main amd64 libxcursor1 amd64 1:1.2.0-2 [20.1 kB] Get:181 http://ftpmaster.internal/ubuntu focal/main amd64 libxft2 amd64 2.3.3-0ubuntu1 [39.2 kB] Get:182 http://ftpmaster.internal/ubuntu focal/main amd64 libxinerama1 amd64 2:1.1.4-2 [6904 B] Get:183 http://ftpmaster.internal/ubuntu focal/universe amd64 libfltk1.3 amd64 1.3.4-10 [546 kB] Get:184 http://ftpmaster.internal/ubuntu focal/universe amd64 libfltk-gl1.3 amd64 1.3.4-10 [38.3 kB] Get:185 http://ftpmaster.internal/ubuntu focal/main amd64 libltdl7 amd64 2.4.6-11 [38.3 kB] Get:186 http://ftpmaster.internal/ubuntu focal/universe amd64 libglpk40 amd64 4.65-2 [378 kB] Get:187 http://ftpmaster.internal/ubuntu focal/main amd64 libasound2-data all 1.1.9-0ubuntu1 [42.0 kB] Get:188 http://ftpmaster.internal/ubuntu focal/main amd64 libasound2 amd64 1.1.9-0ubuntu1 [342 kB] Get:189 http://ftpmaster.internal/ubuntu focal/main amd64 libsamplerate0 amd64 0.1.9-2 [939 kB] Get:190 http://ftpmaster.internal/ubuntu focal/main amd64 libjack-jackd2-0 amd64 1.9.12~dfsg-2build1 [265 kB] Get:191 http://ftpmaster.internal/ubuntu focal/universe amd64 libportaudio2 amd64 19.6.0-1 [64.6 kB] Get:192 http://ftpmaster.internal/ubuntu focal/universe amd64 libqhull7 amd64 2015.2-4 [152 kB] Get:193 http://ftpmaster.internal/ubuntu focal/universe amd64 libqscintilla2-qt5-l10n all 2.10.4+dfsg-2.1ubuntu1 [40.3 kB] Get:194 http://ftpmaster.internal/ubuntu focal/universe amd64 libdouble-conversion3 amd64 3.1.5-2 [38.0 kB] Get:195 http://ftpmaster.internal/ubuntu focal/main amd64 libpcre2-16-0 amd64 10.32-5 [170 kB] Get:196 http://ftpmaster.internal/ubuntu focal/universe amd64 libqt5core5a amd64 5.12.5+dfsg-2 [2003 kB] Get:197 http://ftpmaster.internal/ubuntu focal/main amd64 fontconfig amd64 2.13.1-2ubuntu2 [171 kB] Get:198 http://ftpmaster.internal/ubuntu focal/main amd64 libwayland-server0 amd64 1.17.0-1 [29.7 kB] Get:199 http://ftpmaster.internal/ubuntu focal/main amd64 libgbm1 amd64 19.2.1-1ubuntu1 [28.2 kB] Get:200 http://ftpmaster.internal/ubuntu focal/main amd64 libwayland-client0 amd64 1.17.0-1 [23.9 kB] Get:201 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-xfixes0 amd64 1.13.1-2 [9256 B] Get:202 http://ftpmaster.internal/ubuntu focal/main amd64 libegl-mesa0 amd64 19.2.1-1ubuntu1 [94.1 kB] Get:203 http://ftpmaster.internal/ubuntu focal/main amd64 libegl1 amd64 1.1.1-0ubuntu1 [31.9 kB] Get:204 http://ftpmaster.internal/ubuntu focal/main amd64 libgraphite2-3 amd64 1.3.13-11 [73.7 kB] Get:205 http://ftpmaster.internal/ubuntu focal-proposed/main amd64 libharfbuzz0b amd64 2.6.4-1 [391 kB] Get:206 http://ftpmaster.internal/ubuntu focal/main amd64 x11-common all 1:7.7+19ubuntu12 [22.4 kB] Get:207 http://ftpmaster.internal/ubuntu focal/main amd64 libice6 amd64 2:1.0.10-0ubuntu1 [41.0 kB] Get:208 http://ftpmaster.internal/ubuntu focal/main amd64 libevdev2 amd64 1.8.0+dfsg-2 [31.3 kB] Get:209 http://ftpmaster.internal/ubuntu focal/main amd64 libmtdev1 amd64 1.1.5-1ubuntu3 [13.8 kB] Get:210 http://ftpmaster.internal/ubuntu focal/main amd64 libgudev-1.0-0 amd64 1:233-1 [14.0 kB] Get:211 http://ftpmaster.internal/ubuntu focal/main amd64 libwacom-common all 1.1-1 [41.1 kB] Get:212 http://ftpmaster.internal/ubuntu focal/main amd64 libwacom2 amd64 1.1-1 [19.4 kB] Get:213 http://ftpmaster.internal/ubuntu focal/main amd64 libinput-bin amd64 1.14.3-1 [14.5 kB] Get:214 http://ftpmaster.internal/ubuntu focal/main amd64 libinput10 amd64 1.14.3-1 [110 kB] Get:215 http://ftpmaster.internal/ubuntu focal/universe amd64 libqt5dbus5 amd64 5.12.5+dfsg-2 [208 kB] Get:216 http://ftpmaster.internal/ubuntu focal/universe amd64 libqt5network5 amd64 5.12.5+dfsg-2 [674 kB] Get:217 http://ftpmaster.internal/ubuntu focal/main amd64 libsm6 amd64 2:1.2.3-1 [16.1 kB] Get:218 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-icccm4 amd64 0.4.1-1.1 [10.8 kB] Get:219 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-shm0 amd64 1.13.1-2 [5548 B] Get:220 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-util1 amd64 0.4.0-0ubuntu3 [11.2 kB] Get:221 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-image0 amd64 0.4.0-1build1 [12.3 kB] Get:222 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-keysyms1 amd64 0.4.0-1build1 [8452 B] Get:223 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-randr0 amd64 1.13.1-2 [16.3 kB] Get:224 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-render0 amd64 1.13.1-2 [14.8 kB] Get:225 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-render-util0 amd64 0.3.9-1build1 [9912 B] Get:226 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-shape0 amd64 1.13.1-2 [5908 B] Get:227 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-xinerama0 amd64 1.13.1-2 [5240 B] Get:228 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-xinput0 amd64 1.13.1-2 [29.3 kB] Get:229 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-xkb1 amd64 1.13.1-2 [29.0 kB] Get:230 http://ftpmaster.internal/ubuntu focal/main amd64 libxkbcommon0 amd64 0.9.1-1 [97.5 kB] Get:231 http://ftpmaster.internal/ubuntu focal/main amd64 libxkbcommon-x11-0 amd64 0.9.1-1 [13.6 kB] Get:232 http://ftpmaster.internal/ubuntu focal/universe amd64 libqt5gui5 amd64 5.12.5+dfsg-2 [2961 kB] Get:233 http://ftpmaster.internal/ubuntu focal/main amd64 libavahi-common-data amd64 0.7-4ubuntu5 [21.4 kB] Get:234 http://ftpmaster.internal/ubuntu focal/main amd64 libavahi-common3 amd64 0.7-4ubuntu5 [21.6 kB] Get:235 http://ftpmaster.internal/ubuntu focal/main amd64 libavahi-client3 amd64 0.7-4ubuntu5 [25.4 kB] Get:236 http://ftpmaster.internal/ubuntu focal/main amd64 libcups2 amd64 2.3.0-7 [230 kB] Get:237 http://ftpmaster.internal/ubuntu focal/universe amd64 libqt5widgets5 amd64 5.12.5+dfsg-2 [2293 kB] Get:238 http://ftpmaster.internal/ubuntu focal/universe amd64 libqt5printsupport5 amd64 5.12.5+dfsg-2 [193 kB] Get:239 http://ftpmaster.internal/ubuntu focal/universe amd64 libqscintilla2-qt5-13 amd64 2.10.4+dfsg-2.1ubuntu1 [1054 kB] Get:240 http://ftpmaster.internal/ubuntu focal/universe amd64 libqt5sql5 amd64 5.12.5+dfsg-2 [121 kB] Get:241 http://ftpmaster.internal/ubuntu focal/universe amd64 libqt5help5 amd64 5.12.5-2 [134 kB] Get:242 http://ftpmaster.internal/ubuntu focal/universe amd64 libqt5xml5 amd64 5.12.5+dfsg-2 [105 kB] Get:243 http://ftpmaster.internal/ubuntu focal/main amd64 libogg0 amd64 1.3.4-0ubuntu1 [24.0 kB] Get:244 http://ftpmaster.internal/ubuntu focal/main amd64 libflac8 amd64 1.3.3-1 [104 kB] Get:245 http://ftpmaster.internal/ubuntu focal/main amd64 libvorbis0a amd64 1.3.6-2 [86.1 kB] Get:246 http://ftpmaster.internal/ubuntu focal/main amd64 libvorbisenc2 amd64 1.3.6-2 [70.8 kB] Get:247 http://ftpmaster.internal/ubuntu focal/main amd64 libsndfile1 amd64 1.0.28-6 [170 kB] Get:248 http://ftpmaster.internal/ubuntu focal/universe amd64 libtext-unidecode-perl all 1.30-1 [99.0 kB] Get:249 http://ftpmaster.internal/ubuntu focal/main amd64 libxml-namespacesupport-perl all 1.12-1 [13.2 kB] Get:250 http://ftpmaster.internal/ubuntu focal/main amd64 libxml-sax-base-perl all 1.09-1 [18.8 kB] Get:251 http://ftpmaster.internal/ubuntu focal/main amd64 libxml-sax-perl all 1.02+dfsg-1 [56.2 kB] Get:252 http://ftpmaster.internal/ubuntu focal/main amd64 libxml-libxml-perl amd64 2.0134+dfsg-1build1 [320 kB] Get:253 http://ftpmaster.internal/ubuntu focal/universe amd64 texinfo amd64 6.6.0.dfsg.1-2ubuntu3 [793 kB] Get:254 http://ftpmaster.internal/ubuntu focal/universe amd64 octave-common all 5.1.0-4 [5076 kB] Get:255 http://ftpmaster.internal/ubuntu focal/universe amd64 octave amd64 5.1.0-4 [1953 kB] Get:256 http://ftpmaster.internal/ubuntu focal/main amd64 libncurses-dev amd64 6.1+20191019-1ubuntu1 [339 kB] Get:257 http://ftpmaster.internal/ubuntu focal/main amd64 libreadline-dev amd64 8.0-3 [141 kB] Get:258 http://ftpmaster.internal/ubuntu focal/main amd64 zlib1g-dev amd64 1:1.2.11.dfsg-1ubuntu3 [172 kB] Get:259 http://ftpmaster.internal/ubuntu focal/main amd64 libjpeg-turbo8-dev amd64 2.0.3-0ubuntu1 [238 kB] Get:260 http://ftpmaster.internal/ubuntu focal/main amd64 libjpeg8-dev amd64 8c-2ubuntu8 [1552 B] Get:261 http://ftpmaster.internal/ubuntu focal/main amd64 libjpeg-dev amd64 8c-2ubuntu8 [1546 B] Get:262 http://ftpmaster.internal/ubuntu focal/universe amd64 libaec-dev amd64 1.0.4-1 [16.9 kB] Get:263 http://ftpmaster.internal/ubuntu focal/universe amd64 hdf5-helpers amd64 1.10.4+repack-10 [13.9 kB] Get:264 http://ftpmaster.internal/ubuntu focal/universe amd64 libhdf5-cpp-103 amd64 1.10.4+repack-10 [122 kB] Get:265 http://ftpmaster.internal/ubuntu focal/universe amd64 libhdf5-dev amd64 1.10.4+repack-10 [2573 kB] Get:266 http://ftpmaster.internal/ubuntu focal/main amd64 xorg-sgml-doctools all 1:1.11-1 [12.9 kB] Get:267 http://ftpmaster.internal/ubuntu focal/main amd64 x11proto-dev all 2018.4-4 [251 kB] Get:268 http://ftpmaster.internal/ubuntu focal/main amd64 x11proto-core-dev all 2018.4-4 [2620 B] Get:269 http://ftpmaster.internal/ubuntu focal/main amd64 libxau-dev amd64 1:1.0.9-0ubuntu1 [9552 B] Get:270 http://ftpmaster.internal/ubuntu focal/main amd64 libxdmcp-dev amd64 1:1.1.3-0ubuntu1 [25.3 kB] Get:271 http://ftpmaster.internal/ubuntu focal/main amd64 xtrans-dev all 1.3.5-1build1 [70.7 kB] Get:272 http://ftpmaster.internal/ubuntu focal/main amd64 libpthread-stubs0-dev amd64 0.4-1 [5384 B] Get:273 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb1-dev amd64 1.13.1-2 [79.9 kB] Get:274 http://ftpmaster.internal/ubuntu focal/main amd64 libx11-dev amd64 2:1.6.8-1 [645 kB] Get:275 http://ftpmaster.internal/ubuntu focal/main amd64 libdrm-dev amd64 2.4.99-1ubuntu1 [125 kB] Get:276 http://ftpmaster.internal/ubuntu focal/main amd64 mesa-common-dev amd64 19.2.1-1ubuntu1 [660 kB] Get:277 http://ftpmaster.internal/ubuntu focal/main amd64 libglvnd-core-dev amd64 1.1.1-0ubuntu1 [12.6 kB] Get:278 http://ftpmaster.internal/ubuntu focal/main amd64 libgles1 amd64 1.1.1-0ubuntu1 [12.0 kB] Get:279 http://ftpmaster.internal/ubuntu focal/main amd64 libgles2 amd64 1.1.1-0ubuntu1 [17.6 kB] Get:280 http://ftpmaster.internal/ubuntu focal/main amd64 libopengl0 amd64 1.1.1-0ubuntu1 [31.0 kB] Get:281 http://ftpmaster.internal/ubuntu focal/main amd64 libglvnd-dev amd64 1.1.1-0ubuntu1 [3396 B] Get:282 http://ftpmaster.internal/ubuntu focal/main amd64 libx11-xcb-dev amd64 2:1.6.8-1 [9800 B] Get:283 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-dri3-dev amd64 1.13.1-2 [7352 B] Get:284 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-render0-dev amd64 1.13.1-2 [18.4 kB] Get:285 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-randr0-dev amd64 1.13.1-2 [20.4 kB] Get:286 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-shape0-dev amd64 1.13.1-2 [7136 B] Get:287 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-xfixes0-dev amd64 1.13.1-2 [11.6 kB] Get:288 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-sync-dev amd64 1.13.1-2 [10.6 kB] Get:289 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-present-dev amd64 1.13.1-2 [6972 B] Get:290 http://ftpmaster.internal/ubuntu focal/main amd64 libxshmfence-dev amd64 1.3-1 [3692 B] Get:291 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-dri2-0-dev amd64 1.13.1-2 [8460 B] Get:292 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-glx0-dev amd64 1.13.1-2 [27.9 kB] Get:293 http://ftpmaster.internal/ubuntu focal/main amd64 x11proto-fixes-dev all 1:2018.4-4 [2620 B] Get:294 http://ftpmaster.internal/ubuntu focal/main amd64 libxfixes-dev amd64 1:5.0.3-1 [11.0 kB] Get:295 http://ftpmaster.internal/ubuntu focal/main amd64 x11proto-damage-dev all 1:2018.4-4 [2620 B] Get:296 http://ftpmaster.internal/ubuntu focal/main amd64 libxdamage-dev amd64 1:1.1.5-1 [5232 B] Get:297 http://ftpmaster.internal/ubuntu focal/main amd64 x11proto-xext-dev all 2018.4-4 [2620 B] Get:298 http://ftpmaster.internal/ubuntu focal/main amd64 libxext-dev amd64 2:1.3.4-0ubuntu1 [82.2 kB] Get:299 http://ftpmaster.internal/ubuntu focal/main amd64 x11proto-xf86vidmode-dev all 2018.4-4 [2632 B] Get:300 http://ftpmaster.internal/ubuntu focal/main amd64 libxxf86vm-dev amd64 1:1.1.4-1build1 [13.3 kB] Get:301 http://ftpmaster.internal/ubuntu focal/main amd64 libgl1-mesa-dev amd64 19.2.1-1ubuntu1 [6176 B] Get:302 http://ftpmaster.internal/ubuntu focal/main amd64 libblas-dev amd64 3.8.0-8ubuntu1 [147 kB] Get:303 http://ftpmaster.internal/ubuntu focal/main amd64 liblapack-dev amd64 3.8.0-8ubuntu1 [4155 kB] Get:304 http://ftpmaster.internal/ubuntu focal/main amd64 libfftw3-long3 amd64 3.3.8-2 [312 kB] Get:305 http://ftpmaster.internal/ubuntu focal/main amd64 libfftw3-quad3 amd64 3.3.8-2 [552 kB] Get:306 http://ftpmaster.internal/ubuntu focal/main amd64 libfftw3-bin amd64 3.3.8-2 [32.2 kB] Get:307 http://ftpmaster.internal/ubuntu focal/main amd64 libfftw3-dev amd64 3.3.8-2 [2087 kB] Get:308 http://ftpmaster.internal/ubuntu focal/main amd64 libgfortran-9-dev amd64 9.2.1-19ubuntu1 [685 kB] Get:309 http://ftpmaster.internal/ubuntu focal/main amd64 gfortran-9 amd64 9.2.1-19ubuntu1 [9581 kB] Get:310 http://ftpmaster.internal/ubuntu focal/main amd64 gfortran amd64 4:9.2.1-3.1ubuntu1 [1376 B] Get:311 http://ftpmaster.internal/ubuntu focal/universe amd64 liboctave-dev amd64 5.1.0-4 [469 kB] Get:312 http://ftpmaster.internal/ubuntu focal/main amd64 libencode-locale-perl all 1.05-1 [12.3 kB] Get:313 http://ftpmaster.internal/ubuntu focal/main amd64 libtimedate-perl all 2.3000-2 [37.5 kB] Get:314 http://ftpmaster.internal/ubuntu focal/main amd64 libhttp-date-perl all 6.02-1 [10.4 kB] Get:315 http://ftpmaster.internal/ubuntu focal/main amd64 libfile-listing-perl all 6.04-1 [9774 B] Get:316 http://ftpmaster.internal/ubuntu focal/main amd64 libhtml-tagset-perl all 3.20-3 [12.1 kB] Get:317 http://ftpmaster.internal/ubuntu focal/main amd64 liburi-perl all 1.76-1 [77.3 kB] Get:318 http://ftpmaster.internal/ubuntu focal/main amd64 libhtml-parser-perl amd64 3.72-3build3 [85.8 kB] Get:319 http://ftpmaster.internal/ubuntu focal/main amd64 libhtml-tree-perl all 5.07-2 [200 kB] Get:320 http://ftpmaster.internal/ubuntu focal/main amd64 libio-html-perl all 1.001-1 [14.9 kB] Get:321 http://ftpmaster.internal/ubuntu focal/main amd64 liblwp-mediatypes-perl all 6.04-1 [19.5 kB] Get:322 http://ftpmaster.internal/ubuntu focal/main amd64 libhttp-message-perl all 6.18-1 [75.3 kB] Get:323 http://ftpmaster.internal/ubuntu focal/main amd64 libhttp-cookies-perl all 6.04-2 [17.5 kB] Get:324 http://ftpmaster.internal/ubuntu focal/main amd64 libhttp-negotiate-perl all 6.01-1 [12.5 kB] Get:325 http://ftpmaster.internal/ubuntu focal/main amd64 perl-openssl-defaults amd64 3build1 [7012 B] Get:326 http://ftpmaster.internal/ubuntu focal/main amd64 libnet-ssleay-perl amd64 1.88-0ubuntu2 [292 kB] Get:327 http://ftpmaster.internal/ubuntu focal/main amd64 libio-socket-ssl-perl all 2.066-0ubuntu4 [177 kB] Get:328 http://ftpmaster.internal/ubuntu focal/main amd64 libnet-http-perl all 6.19-1 [22.8 kB] Get:329 http://ftpmaster.internal/ubuntu focal/main amd64 liblwp-protocol-https-perl all 6.07-2ubuntu2 [8560 B] Get:330 http://ftpmaster.internal/ubuntu focal/main amd64 libwww-robotrules-perl all 6.02-1 [12.6 kB] Get:331 http://ftpmaster.internal/ubuntu focal/main amd64 libwww-perl all 6.41-1 [139 kB] Get:332 http://ftpmaster.internal/ubuntu focal/main amd64 liberror-perl all 0.17028-1 [26.6 kB] Get:333 http://ftpmaster.internal/ubuntu focal/universe amd64 libexporter-lite-perl all 0.08-1 [9916 B] Get:334 http://ftpmaster.internal/ubuntu focal/universe amd64 libparse-debcontrol-perl all 2.005-4 [24.2 kB] Get:335 http://ftpmaster.internal/ubuntu focal/main amd64 libconvert-binhex-perl all 1.125-1 [29.7 kB] Get:336 http://ftpmaster.internal/ubuntu focal/main amd64 libnet-smtp-ssl-perl all 1.04-1 [5948 B] Get:337 http://ftpmaster.internal/ubuntu focal/main amd64 libmailtools-perl all 2.21-1 [80.7 kB] Get:338 http://ftpmaster.internal/ubuntu focal/main amd64 libmime-tools-perl all 5.509-1 [192 kB] Get:339 http://ftpmaster.internal/ubuntu focal/main amd64 libnumber-compare-perl all 0.03-1 [7318 B] Get:340 http://ftpmaster.internal/ubuntu focal/main amd64 libtext-glob-perl all 0.10-1 [7554 B] Get:341 http://ftpmaster.internal/ubuntu focal/main amd64 libfile-find-rule-perl all 0.34-1 [28.3 kB] Get:342 http://ftpmaster.internal/ubuntu focal/universe amd64 aglfn all 1.7-3 [29.4 kB] Get:343 http://ftpmaster.internal/ubuntu focal/universe amd64 gnuplot-data all 5.2.7+dfsg1-6 [56.5 kB] Get:344 http://ftpmaster.internal/ubuntu focal/main amd64 libpixman-1-0 amd64 0.38.4-0ubuntu1 [227 kB] Get:345 http://ftpmaster.internal/ubuntu focal/main amd64 libcairo2 amd64 1.16.0-4 [583 kB] Get:346 http://ftpmaster.internal/ubuntu focal/main amd64 libxpm4 amd64 1:3.5.12-1 [34.0 kB] Get:347 http://ftpmaster.internal/ubuntu focal/main amd64 libgd3 amd64 2.2.5-5.2 [118 kB] Get:348 http://ftpmaster.internal/ubuntu focal/main amd64 liblua5.3-0 amd64 5.3.3-1.1ubuntu1 [118 kB] Get:349 http://ftpmaster.internal/ubuntu focal/main amd64 libthai-data all 0.1.28-3 [134 kB] Get:350 http://ftpmaster.internal/ubuntu focal/main amd64 libdatrie1 amd64 0.2.12-3 [18.7 kB] Get:351 http://ftpmaster.internal/ubuntu focal/main amd64 libthai0 amd64 0.1.28-3 [18.1 kB] Get:352 http://ftpmaster.internal/ubuntu focal-proposed/main amd64 libpango-1.0-0 amd64 1.44.7-1 [161 kB] Get:353 http://ftpmaster.internal/ubuntu focal-proposed/main amd64 libpangoft2-1.0-0 amd64 1.44.7-1 [34.7 kB] Get:354 http://ftpmaster.internal/ubuntu focal-proposed/main amd64 libpangocairo-1.0-0 amd64 1.44.7-1 [24.8 kB] Get:355 http://ftpmaster.internal/ubuntu focal/universe amd64 gnuplot-nox amd64 5.2.7+dfsg1-6 [813 kB] Get:356 http://ftpmaster.internal/ubuntu focal/universe amd64 fonts-freefont-otf all 20120503-9 [3053 kB] Get:357 http://ftpmaster.internal/ubuntu focal/universe amd64 dh-octave-autopkgtest all 0.7.2 [7852 B] Get:358 http://ftpmaster.internal/ubuntu focal/universe amd64 dh-octave all 0.7.2 [19.0 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 120 MB in 40s (3019 kB/s) Selecting previously unselected package libbsd0:amd64. 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Setting up libcarp-assert-perl (0.21-1) ... Setting up libgudev-1.0-0:amd64 (1:233-1) ... Setting up libblas-dev:amd64 (3.8.0-8ubuntu1) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so to provide /usr/lib/x86_64-linux-gnu/libblas.so (libblas.so-x86_64-linux-gnu) in auto mode Setting up libsz2:amd64 (1.0.4-1) ... Setting up libvorbisenc2:amd64 (1.3.6-2) ... Setting up libheimbase1-heimdal:amd64 (7.5.0+dfsg-3build1) ... Setting up libwacom-common (1.1-1) ... Setting up libmousex-nativetraits-perl (1.09-2) ... Setting up libxkbcommon0:amd64 (0.9.1-1) ... Setting up libwayland-client0:amd64 (1.17.0-1) ... Setting up libnet-ssleay-perl (1.88-0ubuntu2) ... Setting up libjpeg8:amd64 (8c-2ubuntu8) ... Setting up x11proto-dev (2018.4-4) ... Setting up libfile-stripnondeterminism-perl (1.6.2-1) ... Setting up gnuplot-data (5.2.7+dfsg1-6) ... Setting up libamd2:amd64 (1:5.4.0+dfsg-1) ... Setting up libice6:amd64 (2:1.0.10-0ubuntu1) ... 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Creating config file /etc/perl/XML/SAX/ParserDetails.ini with new version Setting up libhcrypto4-heimdal:amd64 (7.5.0+dfsg-3build1) ... Setting up libqt5network5:amd64 (5.12.5+dfsg-2) ... Setting up libxcb-util1:amd64 (0.4.0-0ubuntu3) ... Setting up libxcb-xkb1:amd64 (1.13.1-2) ... Setting up libxcb-image0:amd64 (0.4.0-1build1) ... Setting up libxcb-present0:amd64 (1.13.1-2) ... Setting up libqt5sql5:amd64 (5.12.5+dfsg-2) ... Setting up tex-common (6.12) ... update-language: texlive-base not installed and configured, doing nothing! Setting up libthai0:amd64 (0.1.28-3) ... Setting up libcamd2:amd64 (1:5.4.0+dfsg-1) ... Setting up libxdmcp-dev:amd64 (1:1.1.3-0ubuntu1) ... Setting up libwind0-heimdal:amd64 (7.5.0+dfsg-3build1) ... Setting up libqt5xml5:amd64 (5.12.5+dfsg-2) ... Setting up libxcb-xinerama0:amd64 (1.13.1-2) ... Setting up x11proto-damage-dev (1:2018.4-4) ... Setting up libtest-exception-perl (0.43-1) ... Setting up libglpk40:amd64 (4.65-2) ... Setting up libxcb-sync1:amd64 (1.13.1-2) ... Setting up x11proto-core-dev (2018.4-4) ... Setting up libhdf5-103:amd64 (1.10.4+repack-10) ... Setting up bsdmainutils (11.1.2ubuntu2) ... update-alternatives: using /usr/bin/bsd-write to provide /usr/bin/write (write) in auto mode update-alternatives: using /usr/bin/bsd-from to provide /usr/bin/from (from) in auto mode Setting up libxkbcommon-x11-0:amd64 (0.9.1-1) ... Setting up liblapack-dev:amd64 (3.8.0-8ubuntu1) ... 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 (1.17-6) ... Setting up libdata-optlist-perl (0.110-1) ... Setting up libcroco3:amd64 (0.6.13-1) ... Setting up libssh-4:amd64 (0.9.0-1ubuntu1) ... Setting up autoconf (2.69-11ubuntu1) ... Setting up libxml-libxml-perl (2.0134+dfsg-1build1) ... 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 (1.13.1-2) ... Setting up dh-strip-nondeterminism (1.6.2-1) ... Setting up libwww-robotrules-perl (6.02-1) ... Setting up x11proto-xf86vidmode-dev (2018.4-4) ... Setting up libjack-jackd2-0:amd64 (1.9.12~dfsg-2build1) ... Setting up x11proto-xext-dev (2018.4-4) ... Setting up libdrm2:amd64 (2.4.99-1ubuntu1) ... Setting up dwz (0.13-2) ... Setting up groff-base (1.22.4-3) ... Setting up libccolamd2:amd64 (1:5.4.0+dfsg-1) ... Setting up libxcb-randr0:amd64 (1.13.1-2) ... Setting up libhtml-parser-perl (3.72-3build3) ... Setting up libx11-6:amd64 (2:1.6.8-1) ... Setting up libtiff5:amd64 (4.1.0-1) ... Setting up libfontconfig1:amd64 (2.13.1-2ubuntu2) ... Setting up libsndfile1:amd64 (1.0.28-6) ... Setting up libjpeg8-dev:amd64 (8c-2ubuntu8) ... Setting up x11proto-fixes-dev (1:2018.4-4) ... Setting up libwacom2:amd64 (1.1-1) ... Setting up libsm6:amd64 (2:1.2.3-1) ... Setting up libfftw3-dev:amd64 (3.3.8-2) ... Setting up libavahi-client3:amd64 (0.7-4ubuntu5) ... Setting up libcholmod3:amd64 (1:5.4.0+dfsg-1) ... Setting up libllvm9:amd64 (1:9.0.0-3ubuntu2) ... Setting up libio-socket-ssl-perl (2.066-0ubuntu4) ... Setting up libsub-exporter-perl (0.987-1) ... Setting up libhttp-message-perl (6.18-1) ... Setting up libdrm-amdgpu1:amd64 (2.4.99-1ubuntu1) ... Setting up automake (1:1.16.1-4ubuntu3) ... update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode Setting up libxcb-dri3-0:amd64 (1.13.1-2) ... Setting up libportaudio2:amd64 (19.6.0-1) ... Setting up libhttp-negotiate-perl (6.01-1) ... Setting up fontconfig (2.13.1-2ubuntu2) ... Regenerating fonts cache... done. Setting up libcarp-assert-more-perl (1.20-1) ... Setting up libdrm-nouveau2:amd64 (2.4.99-1ubuntu1) ... Setting up gettext (0.19.8.1-9) ... Setting up libxdamage1:amd64 (1:1.1.5-1) ... Setting up libxcb1-dev:amd64 (1.13.1-2) ... Setting up libxpm4:amd64 (1:3.5.12-1) ... Setting up libxrender1:amd64 (1:0.9.10-1) ... Setting up gfortran-9 (9.2.1-19ubuntu1) ... Setting up libgbm1:amd64 (19.2.1-1ubuntu1) ... Setting up libhttp-cookies-perl (6.04-2) ... Setting up libwmf0.2-7:amd64 (0.2.8.4-15) ... Setting up libdrm-radeon1:amd64 (2.4.99-1ubuntu1) ... Setting up libhx509-5-heimdal:amd64 (7.5.0+dfsg-3build1) ... Setting up libhtml-tree-perl (5.07-2) ... Setting up libparams-classify-perl (0.015-1build2) ... Setting up libpango-1.0-0:amd64 (1.44.7-1) ... Setting up libdrm-intel1:amd64 (2.4.99-1ubuntu1) ... Setting up libgl1-mesa-dri:amd64 (19.2.1-1ubuntu1) ... Setting up libhdf5-cpp-103:amd64 (1.10.4+repack-10) ... Setting up libjpeg-dev:amd64 (8c-2ubuntu8) ... Setting up libx11-dev:amd64 (2:1.6.8-1) ... Setting up libxext6:amd64 (2:1.3.4-0ubuntu1) ... Setting up libxcb-dri3-dev:amd64 (1.13.1-2) ... Setting up man-db (2.9.0-1) ... 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 (4:9.2.1-3.1ubuntu1) ... 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 (1.16.0-4) ... Setting up libxxf86vm1:amd64 (1:1.1.4-1build1) ... Setting up libinput-bin (1.14.3-1) ... Setting up intltool-debian (0.35.0+20060710.5) ... Setting up libegl-mesa0:amd64 (19.2.1-1ubuntu1) ... Setting up libxcb-dri2-0-dev:amd64 (1.13.1-2) ... Setting up libumfpack5:amd64 (1:5.4.0+dfsg-1) ... 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 (1:5.0.3-1) ... Setting up libconfig-model-perl (2.136-1) ... Setting up libxinerama1:amd64 (2:1.1.4-2) ... Setting up libhdf5-dev (1.10.4+repack-10) ... 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 libgd3:amd64 (2.2.5-5.2) ... Setting up libgraphicsmagick-q16-3 (1.4+really1.3.33+hg16117-1) ... Setting up libxcb-render0-dev:amd64 (1.13.1-2) ... Setting up libxcb-glx0-dev:amd64 (1.13.1-2) ... Setting up texinfo (6.6.0.dfsg.1-2ubuntu3) ... Setting up libxcb-shape0-dev:amd64 (1.13.1-2) ... Setting up libxext-dev:amd64 (2:1.3.4-0ubuntu1) ... Setting up libcups2:amd64 (2.3.0-7) ... Setting up libegl1:amd64 (1.1.1-0ubuntu1) ... Setting up libxcb-sync-dev:amd64 (1.13.1-2) ... Setting up libgraphicsmagick++-q16-12 (1.4+really1.3.33+hg16117-1) ... Setting up libxcb-xfixes0-dev:amd64 (1.13.1-2) ... Setting up libpangoft2-1.0-0:amd64 (1.44.7-1) ... Setting up libstring-rewriteprefix-perl (0.007-2) ... Setting up libpangocairo-1.0-0:amd64 (1.44.7-1) ... Setting up libkrb5-26-heimdal:amd64 (7.5.0+dfsg-3build1) ... Setting up libinput10:amd64 (1.14.3-1) ... Setting up libx11-xcb-dev:amd64 (2:1.6.8-1) ... Setting up libdrm-dev:amd64 (2.4.99-1ubuntu1) ... Setting up libxft2:amd64 (2.3.3-0ubuntu1) ... Setting up libglx-mesa0:amd64 (19.2.1-1ubuntu1) ... Setting up libglx0:amd64 (1.1.1-0ubuntu1) ... Setting up libmodule-implementation-perl (0.09-1) ... Setting up libpackage-stash-perl (0.38-1) ... Setting up po-debconf (1.0.21) ... Setting up libxxf86vm-dev:amd64 (1:1.1.4-1build1) ... Setting up libxcursor1:amd64 (1:1.2.0-2) ... Setting up libmime-tools-perl (5.509-1) ... Setting up libheimntlm0-heimdal:amd64 (7.5.0+dfsg-3build1) ... Setting up libclass-load-perl (0.25-1) ... Setting up libxfixes-dev:amd64 (1:5.0.3-1) ... Setting up libgl1:amd64 (1.1.1-0ubuntu1) ... Setting up libgssapi3-heimdal:amd64 (7.5.0+dfsg-3build1) ... Setting up libxcb-randr0-dev:amd64 (1.13.1-2) ... Setting up libxcb-present-dev:amd64 (1.13.1-2) ... Setting up mesa-common-dev:amd64 (19.2.1-1ubuntu1) ... Setting up libglu1-mesa:amd64 (9.0.1-0ubuntu1) ... Setting up gnuplot-nox (5.2.7+dfsg1-6) ... update-alternatives: using /usr/bin/gnuplot-nox to provide /usr/bin/gnuplot (gnuplot) in auto mode Setting up libparams-validate-perl (1.29-3) ... Setting up libxdamage-dev:amd64 (1:1.1.5-1) ... Setting up libfltk1.3:amd64 (1.3.4-10) ... Setting up libfltk-gl1.3:amd64 (1.3.4-10) ... Setting up libqt5gui5:amd64 (5.12.5+dfsg-2) ... Setting up libldap-2.4-2:amd64 (2.4.48+dfsg-1ubuntu3) ... Setting up libglvnd-dev:amd64 (1.1.1-0ubuntu1) ... Setting up libcurl3-gnutls:amd64 (7.66.0-1ubuntu1) ... Setting up libqt5widgets5:amd64 (5.12.5+dfsg-2) ... Setting up libqt5help5:amd64 (5.12.5-2) ... Setting up libgl2ps1.4 (1.4.0+dfsg1-2) ... Setting up libqt5printsupport5:amd64 (5.12.5+dfsg-2) ... Setting up liboctave7:amd64 (5.1.0-4) ... Setting up dh-octave-autopkgtest (0.7.2) ... Setting up libgetopt-long-descriptive-perl (0.104-1) ... Setting up libqscintilla2-qt5-13 (2.10.4+dfsg-2.1ubuntu1) ... Setting up libgl1-mesa-dev:amd64 (19.2.1-1ubuntu1) ... Setting up libapp-cmd-perl (0.331-1) ... Setting up octave (5.1.0-4) ... Setting up cme (1.030-1) ... Setting up liboctave-dev (5.1.0-4) ... Setting up dh-autoreconf (19) ... Setting up liblwp-protocol-https-perl (6.07-2ubuntu2) ... Setting up libwww-perl (6.41-1) ... Setting up debhelper (12.7.1ubuntu1) ... Setting up libparse-debcontrol-perl (2.005-4) ... Setting up dh-octave (0.7.2) ... Setting up sbuild-build-depends-octave-stk-dummy (0.invalid.0) ... Processing triggers for libc-bin (2.30-0ubuntu2) ... Processing triggers for systemd (243-3ubuntu1) ... +------------------------------------------------------------------------------+ | Build environment | +------------------------------------------------------------------------------+ Kernel: Linux 4.4.0-169-generic amd64 (x86_64) Toolchain package versions: binutils_2.33.1-1ubuntu1 dpkg-dev_1.19.7ubuntu2 g++-9_9.2.1-19ubuntu1 gcc-9_9.2.1-19ubuntu1 libc6-dev_2.30-0ubuntu2 libstdc++-9-dev_9.2.1-19ubuntu1 libstdc++6_9.2.1-19ubuntu1 linux-libc-dev_5.3.0-21.22 Package versions: adduser_3.118ubuntu1 advancecomp_2.1-2.1 aglfn_1.7-3 apt_1.9.4 autoconf_2.69-11ubuntu1 automake_1:1.16.1-4ubuntu3 autopoint_0.19.8.1-9 autotools-dev_20180224.1 base-files_11ubuntu1 base-passwd_3.5.46 bash_5.0-5ubuntu1 binutils_2.33.1-1ubuntu1 binutils-common_2.33.1-1ubuntu1 binutils-x86-64-linux-gnu_2.33.1-1ubuntu1 bsdmainutils_11.1.2ubuntu2 bsdutils_1:2.34-0.1ubuntu2 build-essential_12.8ubuntu1 bzip2_1.0.8-2 ca-certificates_20190110 cme_1.030-1 coreutils_8.30-3ubuntu2 cpp_4:9.2.1-3.1ubuntu1 cpp-9_9.2.1-19ubuntu1 dash_0.5.10.2-6 debconf_1.5.73 debhelper_12.7.1ubuntu1 debianutils_4.9 dh-autoreconf_19 dh-octave_0.7.2 dh-octave-autopkgtest_0.7.2 dh-strip-nondeterminism_1.6.2-1 diffutils_1:3.7-3 dpkg_1.19.7ubuntu2 dpkg-dev_1.19.7ubuntu2 dwz_0.13-2 e2fsprogs_1.45.3-4ubuntu2 fakeroot_1.24-1 fdisk_2.34-0.1ubuntu2 file_1:5.37-6 findutils_4.6.0+git+20190209-2ubuntu1 fontconfig_2.13.1-2ubuntu2 fontconfig-config_2.13.1-2ubuntu2 fonts-dejavu-core_2.37-1 fonts-freefont-otf_20120503-9 g++_4:9.2.1-3.1ubuntu1 g++-9_9.2.1-19ubuntu1 gcc_4:9.2.1-3.1ubuntu1 gcc-9_9.2.1-19ubuntu1 gcc-9-base_9.2.1-19ubuntu1 gettext_0.19.8.1-9 gettext-base_0.19.8.1-9 gfortran_4:9.2.1-3.1ubuntu1 gfortran-9_9.2.1-19ubuntu1 gnuplot-data_5.2.7+dfsg1-6 gnuplot-nox_5.2.7+dfsg1-6 gpg_2.2.12-1ubuntu3 gpg-agent_2.2.12-1ubuntu3 gpgconf_2.2.12-1ubuntu3 gpgv_2.2.12-1ubuntu3 grep_3.3-1build1 groff-base_1.22.4-3 gzip_1.10-0ubuntu3 hdf5-helpers_1.10.4+repack-10 hostname_3.23 init_1.57 init-system-helpers_1.57 intltool-debian_0.35.0+20060710.5 libacl1_2.2.53-5 libaec-dev_1.0.4-1 libaec0_1.0.4-1 libamd2_1:5.4.0+dfsg-1 libapp-cmd-perl_0.331-1 libapparmor1_2.13.3-5ubuntu5 libapt-pkg5.90_1.9.4 libarchive-zip-perl_1.67-1 libargon2-1_0~20171227-0.2 libarpack2_3.7.0-3 libasan5_9.2.1-19ubuntu1 libasn1-8-heimdal_7.5.0+dfsg-3build1 libasound2_1.1.9-0ubuntu1 libasound2-data_1.1.9-0ubuntu1 libassuan0_2.5.3-7ubuntu1 libatomic1_9.2.1-19ubuntu1 libattr1_1:2.4.48-5 libaudit-common_1:2.8.5-2ubuntu2 libaudit1_1:2.8.5-2ubuntu2 libavahi-client3_0.7-4ubuntu5 libavahi-common-data_0.7-4ubuntu5 libavahi-common3_0.7-4ubuntu5 libb-hooks-op-check-perl_0.22-1build2 libbinutils_2.33.1-1ubuntu1 libblas-dev_3.8.0-8ubuntu1 libblas3_3.8.0-8ubuntu1 libblkid1_2.34-0.1ubuntu2 libboolean-perl_0.46-1 libbrotli1_1.0.7-5 libbsd0_0.10.0-1 libbz2-1.0_1.0.8-2 libc-bin_2.30-0ubuntu2 libc-dev-bin_2.30-0ubuntu2 libc6_2.30-0ubuntu2 libc6-dev_2.30-0ubuntu2 libcairo2_1.16.0-4 libcamd2_1:5.4.0+dfsg-1 libcap-ng0_0.7.9-2.1 libcap2_1:2.27-1 libcapture-tiny-perl_0.48-1 libcarp-assert-more-perl_1.20-1 libcarp-assert-perl_0.21-1 libcc1-0_9.2.1-19ubuntu1 libccolamd2_1:5.4.0+dfsg-1 libcholmod3_1:5.4.0+dfsg-1 libclass-load-perl_0.25-1 libclone-choose-perl_0.010-1 libcolamd2_1:5.4.0+dfsg-1 libcom-err2_1.45.3-4ubuntu2 libconfig-model-perl_2.136-1 libconvert-binhex-perl_1.125-1 libcroco3_0.6.13-1 libcryptsetup12_2:2.2.2-1ubuntu1 libcups2_2.3.0-7 libcurl3-gnutls_7.66.0-1ubuntu1 libcxsparse3_1:5.4.0+dfsg-1 libdata-optlist-perl_0.110-1 libdatrie1_0.2.12-3 libdb5.3_5.3.28+dfsg1-0.6ubuntu1 libdbus-1-3_1.12.14-1ubuntu2 libdebconfclient0_0.250ubuntu1 libdebhelper-perl_12.7.1ubuntu1 libdevel-callchecker-perl_0.008-1build1 libdevmapper1.02.1_2:1.02.155-2ubuntu6 libdouble-conversion3_3.1.5-2 libdpkg-perl_1.19.7ubuntu2 libdrm-amdgpu1_2.4.99-1ubuntu1 libdrm-common_2.4.99-1ubuntu1 libdrm-dev_2.4.99-1ubuntu1 libdrm-intel1_2.4.99-1ubuntu1 libdrm-nouveau2_2.4.99-1ubuntu1 libdrm-radeon1_2.4.99-1ubuntu1 libdrm2_2.4.99-1ubuntu1 libdynaloader-functions-perl_0.003-1 libedit2_3.1-20191025-1 libegl-mesa0_19.2.1-1ubuntu1 libegl1_1.1.1-0ubuntu1 libelf1_0.176-1.1 libencode-locale-perl_1.05-1 liberror-perl_0.17028-1 libevdev2_1.8.0+dfsg-2 libexpat1_2.2.9-1 libexporter-lite-perl_0.08-1 libexporter-tiny-perl_1.002001-1 libext2fs2_1.45.3-4ubuntu2 libfakeroot_1.24-1 libfdisk1_2.34-0.1ubuntu2 libffi6_3.2.1-9 libfftw3-bin_3.3.8-2 libfftw3-dev_3.3.8-2 libfftw3-double3_3.3.8-2 libfftw3-long3_3.3.8-2 libfftw3-quad3_3.3.8-2 libfftw3-single3_3.3.8-2 libfile-find-rule-perl_0.34-1 libfile-homedir-perl_1.004-1 libfile-listing-perl_6.04-1 libfile-stripnondeterminism-perl_1.6.2-1 libfile-which-perl_1.23-1 libflac8_1.3.3-1 libfltk-gl1.3_1.3.4-10 libfltk1.3_1.3.4-10 libfontconfig1_2.13.1-2ubuntu2 libfreetype6_2.10.1-2 libfribidi0_1.0.7-1.1 libgbm1_19.2.1-1ubuntu1 libgcc-9-dev_9.2.1-19ubuntu1 libgcc1_1:9.2.1-19ubuntu1 libgcrypt20_1.8.5-3ubuntu1 libgd3_2.2.5-5.2 libgdbm-compat4_1.18.1-5 libgdbm6_1.18.1-5 libgetopt-long-descriptive-perl_0.104-1 libgfortran-9-dev_9.2.1-19ubuntu1 libgfortran5_9.2.1-19ubuntu1 libgl1_1.1.1-0ubuntu1 libgl1-mesa-dev_19.2.1-1ubuntu1 libgl1-mesa-dri_19.2.1-1ubuntu1 libgl2ps1.4_1.4.0+dfsg1-2 libglapi-mesa_19.2.1-1ubuntu1 libgles1_1.1.1-0ubuntu1 libgles2_1.1.1-0ubuntu1 libglib2.0-0_2.63.1-1 libglpk40_4.65-2 libglu1-mesa_9.0.1-0ubuntu1 libglvnd-core-dev_1.1.1-0ubuntu1 libglvnd-dev_1.1.1-0ubuntu1 libglvnd0_1.1.1-0ubuntu1 libglx-mesa0_19.2.1-1ubuntu1 libglx0_1.1.1-0ubuntu1 libgmp10_2:6.1.2+dfsg-4 libgnutls30_3.6.10-4 libgomp1_9.2.1-19ubuntu1 libgpg-error0_1.36-7 libgraphicsmagick++-q16-12_1.4+really1.3.33+hg16117-1 libgraphicsmagick-q16-3_1.4+really1.3.33+hg16117-1 libgraphite2-3_1.3.13-11 libgssapi-krb5-2_1.17-6 libgssapi3-heimdal_7.5.0+dfsg-3build1 libgudev-1.0-0_1:233-1 libharfbuzz0b_2.6.4-1 libhash-merge-perl_0.300-1 libhcrypto4-heimdal_7.5.0+dfsg-3build1 libhdf5-103_1.10.4+repack-10 libhdf5-cpp-103_1.10.4+repack-10 libhdf5-dev_1.10.4+repack-10 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libxcb-xkb1_1.13.1-2 libxcb1_1.13.1-2 libxcb1-dev_1.13.1-2 libxcursor1_1:1.2.0-2 libxdamage-dev_1:1.1.5-1 libxdamage1_1:1.1.5-1 libxdmcp-dev_1:1.1.3-0ubuntu1 libxdmcp6_1:1.1.3-0ubuntu1 libxext-dev_2:1.3.4-0ubuntu1 libxext6_2:1.3.4-0ubuntu1 libxfixes-dev_1:5.0.3-1 libxfixes3_1:5.0.3-1 libxft2_2.3.3-0ubuntu1 libxinerama1_2:1.1.4-2 libxkbcommon-x11-0_0.9.1-1 libxkbcommon0_0.9.1-1 libxml-libxml-perl_2.0134+dfsg-1build1 libxml-namespacesupport-perl_1.12-1 libxml-sax-base-perl_1.09-1 libxml-sax-perl_1.02+dfsg-1 libxml2_2.9.4+dfsg1-7ubuntu5 libxpm4_1:3.5.12-1 libxrender1_1:0.9.10-1 libxshmfence-dev_1.3-1 libxshmfence1_1.3-1 libxxf86vm-dev_1:1.1.4-1build1 libxxf86vm1_1:1.1.4-1build1 libyaml-perl_1.29-1 libzstd1_1.4.3+dfsg-1 linux-libc-dev_5.3.0-21.22 lockfile-progs_0.1.18 login_1:4.5-1.1ubuntu4 logsave_1.45.3-4ubuntu2 lsb-base_11.1.0ubuntu1 m4_1.4.18-4 make_4.2.1-1.2 man-db_2.9.0-1 mawk_1.3.3-17ubuntu3 mesa-common-dev_19.2.1-1ubuntu1 mount_2.34-0.1ubuntu2 ncurses-base_6.1+20191019-1ubuntu1 ncurses-bin_6.1+20191019-1ubuntu1 netbase_5.6 octave_5.1.0-4 octave-common_5.1.0-4 openssl_1.1.1c-1ubuntu4 optipng_0.7.7-1 passwd_1:4.5-1.1ubuntu4 patch_2.7.6-6 perl_5.30.0-9 perl-base_5.30.0-9 perl-modules-5.28_5.28.1-6build1 perl-modules-5.30_5.30.0-9 perl-openssl-defaults_3build1 pinentry-curses_1.1.0-3 pkgbinarymangler_144 po-debconf_1.0.21 policyrcd-script-zg2_0.1-3 procps_2:3.3.15-2ubuntu3 readline-common_8.0-3 sbuild-build-depends-core-dummy_0.invalid.0 sbuild-build-depends-octave-stk-dummy_0.invalid.0 sed_4.7-1 sensible-utils_0.0.12 systemd_243-3ubuntu1 systemd-sysv_243-3ubuntu1 sysvinit-utils_2.96-1ubuntu1 tar_1.30+dfsg-6 tex-common_6.12 texinfo_6.6.0.dfsg.1-2ubuntu3 tzdata_2019c-3 ubuntu-keyring_2018.09.18.1 ucf_3.0038+nmu1 util-linux_2.34-0.1ubuntu2 x11-common_1:7.7+19ubuntu12 x11proto-core-dev_2018.4-4 x11proto-damage-dev_1:2018.4-4 x11proto-dev_2018.4-4 x11proto-fixes-dev_1:2018.4-4 x11proto-xext-dev_2018.4-4 x11proto-xf86vidmode-dev_2018.4-4 xkb-data_2.26-2ubuntu2 xorg-sgml-doctools_1:1.11-1 xtrans-dev_1.3.5-1build1 xz-utils_5.2.4-1 zlib1g_1:1.2.11.dfsg-1ubuntu3 zlib1g-dev_1:1.2.11.dfsg-1ubuntu3 +------------------------------------------------------------------------------+ | Build | +------------------------------------------------------------------------------+ Unpack source ------------- gpgv: Signature made Thu Nov 14 10:44:53 2019 UTC gpgv: using RSA key 3F464391498FE874BDB5D98F2124AA1983785C90 gpgv: Can't check signature: No public key dpkg-source: warning: failed to verify signature on ./octave-stk_2.6.1-2.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_2.6.1-2.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-18106779 SCHROOT_CHROOT_NAME=build-PACKAGEBUILD-18106779 SCHROOT_COMMAND=env SCHROOT_GID=2501 SCHROOT_GROUP=buildd SCHROOT_SESSION_ID=build-PACKAGEBUILD-18106779 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 2.6.1-2 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 gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-w1ji6j.o /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-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-BE1q4r.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-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-n4CgYE.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-mMr6WR.o g++ -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-BE1q4r.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-mMr6WR.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-n4CgYE.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-w1ji6j.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-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-10zoO2.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-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-8HSRhm.o /usr/bin/mkoctfile --verbose --mex --output __stk_mindist_mex__.mex stk_mindist_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-Z6julD.o /usr/bin/mkoctfile --verbose --mex --output __stk_dist_matrixx__.mex stk_dist_matrixx.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-zN43uQ.o g++ -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-10zoO2.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-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-AOPecM.o g++ -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-Z6julD.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-zN43uQ.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-8HSRhm.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro /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-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-L20rB5.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-RBx4e8.o /usr/bin/mkoctfile --verbose --mex --output __stk_sampling_vdc_rr2__.mex stk_sampling_vdc_rr2.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-ppavKE.o g++ -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-AOPecM.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-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-vvftUp.o g++ -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-L20rB5.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro /usr/bin/mkoctfile --verbose --mex --output __stk_distrib_bivnorm0_cdf__.mex stk_distrib_bivnorm0_cdf.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-I8Zet1.o g++ -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-RBx4e8.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-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-GBJo7P.o g++ -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-ppavKE.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-vvftUp.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-5.1.0/octave/.. -I/usr/include/octave-5.1.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG wfg.c -o /tmp/oct-SFBd6M.o g++ -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-I8Zet1.o -L/usr/lib/x86_64-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.1.0/octave/.. -I/usr/include/octave-5.1.0/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-GBJo7P.o /tmp/oct-SFBd6M.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'. dh_octave_check -O--buildsystem=octave Checking package... Checking m files ... [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/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/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_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_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_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_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/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_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_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_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_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/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/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_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_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_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_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/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_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/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/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/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_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_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_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/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/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/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_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_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/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_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/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 [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/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/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_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_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/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_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/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_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_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_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_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_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_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/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.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/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/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 = 3.88e-01 1 |---------------------------------------------------------------------| | + + + + | | F F | 0.8 |-+ +-| | F | | F | | | 0.6 |-+ F +-| | | | | 0.4 |-+ F +-| | F | | F | | | 0.2 |-+ +-| | F | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 11, fd = 3.33e-01 1 |---------------------------------------------------------------------| | + + + + | | F F | 0.8 |-+ +-| | F | | F | | | 0.6 |-+ F +-| | | | | 0.4 |-+ F +-| | F | | F | | | 0.2 |-+ +-| | F | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 12, fd = 3.09e-01 1 |---------------------------------------------------------------------| | + + + + | | F F | 0.8 |-+ +-| | F | | F | | | 0.6 |-+ F +-| | | | | 0.4 |-+ F +-| | F | | F | | | 0.2 |-+ +-| | F | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 13, fd = 2.97e-01 1 |---------------------------------------------------------------------| | + + + + | | F F | 0.8 |-+ +-| | F | | F | | | 0.6 |-+ F +-| | | | | 0.4 |-+ F +-| | F F | | F | | | 0.2 |-+ +-| | F | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 14, fd = 2.68e-01 1 |---------------------------------------------------------------------| | + + + + | | F F | 0.8 |-+ +-| | F | | F | | | 0.6 |-+ F +-| | | | | 0.4 |-+ F +-| | F F | | F | | | 0.2 |-+ +-| | F | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 15, fd = 2.54e-01 1 |---------------------------------------------------------------------| | + + + + | | F F | 0.8 |-+ +-| | F | | F | | | 0.6 |-+ F +-| | | | | 0.4 |-+ F +-| | F F | | F | | | 0.2 |-+ +-| | F | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 16, fd = 2.43e-01 1 |---------------------------------------------------------------------| | + + + + | | F F | 0.8 |-+ +-| | F | | F | | F | 0.6 |-+ F +-| | | | | 0.4 |-+ F +-| | F F | | F | | | 0.2 |-+ +-| | F | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 17, fd = 2.19e-01 1 |---------------------------------------------------------------------| | + + + + | | F F | 0.8 |-+ +-| | F | | F | | F | 0.6 |-+ F +-| | | | | 0.4 |-+ F +-| | F F | | F | | F | 0.2 |-+ +-| | F | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 18, fd = 2.17e-01 1 |---------------------------------------------------------------------| | + + + + | | F F | 0.8 |-+ +-| | F | | F | | F | 0.6 |-+ F +-| | | | | 0.4 |-+ F +-| | F F | | F | | F | 0.2 |-+ F +-| | F | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 19, fd = 2.10e-01 1 |---------------------------------------------------------------------| | + + + + | | F F | 0.8 |-+ +-| | F | | F | | F | 0.6 |-+ F +-| | | | | 0.4 |-+ F +-| | F 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_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_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 |-+ + + + + *** + +-| 0.25 |-+ *** ** ** +-| 0.2 |-+ * * * ** +-| EI | * *** * | 0.15 |-+ ** ** ** +-| 0.1 |-+ * ** ** +-| 0.05 |-+ + + + ** + * *** +-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 15 |-+ 10 |-+ #%&&&&% | #### #%%%%%%## %&&==**F*G*= ####### 5 |-+&&&&&&&&&&&& &&&&&&&&&&&%% #&=****&&&% &*G*&&&&&&&%%# z 0 |-+*****G******G*********XX&&&G****&&&&# *****XXX&&&&# -5 |-+&&&% ### %&======******=&&&&&%# %===*******&&% | %%&&&&&&&&% #%===&XXX***G -10 |-+ + +##%### + + +%%======#+ -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.7 |-----------------------------------------------------------| 0.6 |-+ + + + *** + +-| 0.5 |-+ * * +-| 0.4 |-+ * * +-| EI | * * | 0.3 |-+ * * +-| 0.2 |-+ ** * +-| 0.1 |-+ + + + ** + * + +-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 10 |-+ ##%&&& | #### #%%%%%%## %&&=**FG*G** ####### 5 |-+&&&&&&&&&&&% %&&&&&&&&&&%# #&=***&& %*G*&&&&&&&%%# 0 |-+*****G******G*****XXXXX&&&&%****&&% ****XXX&&&&%# z |&&&&&&# #%%%##&===**********G*&&&%# &==*****X&&&% -5 |-+## %&&&&======&& %===XX******G -10 |-+ ##%%&&&&%%# #%====&&==== | + +###### + + +##%====# + -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.05 |-----------------------------------------------------------| | + + + *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 |-+ * +-| EI0.003 |-+ * +-| 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 |-+ * * +-| EI0.0003 |-+ * * +-| 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/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. 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 |-+ ####### ##%%&&&&&&&&&&&&&%%%%### | ###%%%%%%###%%%&&&&&&&&&&&&&&&&&==*******G**&&&&&&&%## 5 |-+&&&&&&&&&&&&&&&&&XXXX******G********XX&&&===*******&&&&&%% z 0 |-+************G*********XX&&&====&&&&&&&%%%%%===&&&X******&& -5 |-+&XXXX&&&&&&&&&&=============######### ===%&&&&&&&*G |%%&&&&&&%%%### ######## ===##%%%=== -10 |-+ + + + + + ====== + -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.5 |-----------------------------------------------------------| |***F** + + + + + *| 0.4 |-+ *** *-| 0.3 |-+ ** *+-| AKG | ** * | 0.2 |-+ ** ** +-| 0.1 |-+ ** ** +-| | + *** ******* + + *** | 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 15 |-+ ####%### 10 |-+ ###### ##%%&&&&&&&&&&%# | ##%%%%%%%##%%%%&&&&&&&&&&&&&&&*********&G&%# 5 |-+&&&&&&&&&&&&&&&&&XXXXX*****G*****=XX&&&&****&&&# z 0 |-+*G**********G**********X&&&====&&&&&%%%%%&&=***&&# -5 |-+&&&&&&&&&&&&&&&=============####### %&=***&&&%%%&&G | ######### #&==********* -10 |-+ + + + + +#&=G=G==%+ -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.025 |-----------------------------------------------------------| | + + + + *F | 0.02 |-+ * * +-| 0.015 |-+ ** * +-| AKG | * * * | 0.01 |-+ ** * * +-| 0.005 |-+ * *** +-| | + + + + * + ** **| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 30 |-+ | ##%%%%## 20 |-+ ##%%%%### %%&&&&&&&&&# 10 |-+ #%%&&&&%%# #%&&&&&&&&&&&%%&&&&XXXX*****&&&# z |&&&&&&&&XX&&&&&&&&XXXXXXX****G*********====*G**&% 0 |-+*G**********G***********=======&&&&&&&&&%#%=***&G %G -10 |-+##%&&&&&&&&%#%&&&&&&=====%# ##%%%%%%%## %=*G**=&&*G*G | ##+# ##+%%%%%## + + +#&*G*G*G#+ -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.08 |-----------------------------------------------------------| | + + + + + * F* | 0.06 |-+ ** **-| | * ** * * | AKG.04 |-+ * **** *-| | * **** *| 0.02 |-+ * *** +*| | + ****** + + * ** *| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 30 |-+ | ##%%%%## 20 |-+ ##%%%%### %%&&&&&&&&&# 10 |-+ #%%&&&&%%# #%&&&&&&&&&&&%%&&&&XXXX*****&&&# z |&&&&&&&&XX&&&&&&&&XXXXXXX****G*********====*G**&% 0 |-+*G**********G***********=======&&&&&&&&&%#%=***&G #G -10 |-+##%&&&&&&&&%#%&&&&&&=====%# ##%%%%%%%## %=*G*G=&&=G*G | ##+# ##+%%%%%## + + +#&GGGGGG#+ -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.06 |-----------------------------------------------------------| 0.05 |-+ + + + + + *** **-| | * * ** | 0.04 |-+ * * * *-| AKG.03 |-+ * * * +*| 0.02 |-+ * ** +*| | ** * ** *| 0.01 |-+ + ****** + + +* * +*| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 30 |-+ | ####### 20 |-+ ######## #%&&&&&&&&&# 10 |-+ #%%%&&%%## #%%&&&&&&&&&%%%&&&&&XXX*****&&&# z |&&&&&&&&&&&&&&&&&&XXXXXXXX***G********=====*G**&% 0 |-+*G**********G***********=======&&&&&&&&%%#%=***&G #G -10 |-+##%%&&&&&&%%#%&&&&&&=====%# #%%%%%%## %=*G*G*&&GG*G | + ##+%%%%## + + + &GGGGGG + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.08 |-----------------------------------------------------------| 0.07 |-+ + + + + + +-| 0.06 |-+ *F* **-| 0.05 |-+ * * **-| AKG.04 |-+ * ** *-| 0.03 |-+ ** ** +*| 0.02 |-+ * ** +*| 0.01 |-+ + ***** + + +* ** +*| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 30 |-+ | ######## 20 |-+ ######## #%&&&&&&&&&# 10 |-+ #%%%&&%%## #%%&&&&&&&&&%%%&&&&&XXX*****&&&# z |&&&&&&&&&&&&&&&&&&XXXXXXXX***G********=====*G**&% 0 |-+*G**********G***********=======&&&&&&&&%%#%=***&G #G -10 |-+##%%&&&&&&%%#%&&&&&&=====%# #%%%%%%## %=*G*G*&*GG*G | + ##+%%%%## + + + %GGGGGG + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.04 |-----------------------------------------------------------| | + + + + + ** ** | 0.03 |-+ * * **-| | * * * * | AKG.02 |-+ * * * *-| | * * ** *| 0.01 |-+ **** * ** +*| | + ** ** + + +* ** *| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 30 |-+ | ###### 20 |-+ ####### #%&&&&&&&&&# 10 |-+ ##%%%%%%## #%%&&&&&&&&&%%%&&&&&XX******&&&# z |&&&&&&&&&&&&&&&&&&&XXXXXXX***G********=====*G**&% 0 |-+*G**********G************======&&&&&&&&%%#%=***&G #G -10 |-+##%%&&&&&&%%#%&&&&&&=====%# ##%%%%### %=*G*G*&*GG*G | + #+%%%%## + + + #GGGGGG + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.04 |-----------------------------------------------------------| 0.035 |-+ + + + + + +-| 0.03 |-+ F* **-| 0.025 |-+ ** **-| AKG0.02 |-+ * * **-| 0.015 |-+ * ** *-| 0.01 |-+ *** * ** *-| 0.005 |-+ + ** ** + + + * ** +*| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 30 |-+ | ###### 20 |-+ ####### #%&&&&&&&&&# 10 |-+ ##%%%%%%## #%%&&&&&&&&&%%%&&&&&XX******&&&# z |&&&&&&&&&&&&&&&&&&&XXXXXXX***G********=====*G**&% 0 |-+*G**********G************======&&&&&&&&%%#%=***&G #G -10 |-+##%%&&&&&&%%#%&&&&&&=====%# ##%%%%### %=*G*G*&*GG*G | + #+%%%%## + + + %GGGGGG + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.014 |-----------------------------------------------------------| 0.012 |-+ + + + + + * F+-| 0.01 |-+ ** **-| 0.008 |-+ *** ** * *-| AKG | * * **** * | 0.006 |-+ * * * *** *-| 0.004 |-+ * ** * *** *-| 0.002 |-+ + ** ** + + + * * *-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 30 |-+ | ###### 20 |-+ ####### #%&&&&&&&&&# 10 |-+ ##%%%%%%## #%%&&&&&&&&&%%%&&&&&XX******&&&# z |&&&&&&&&&&&&&&&&&&XXXXXXXX***G********=====*G**&% 0 |-+*G**********G************======&&&&&&&&%%#%=***&G #G -10 |-+##%%&&&&&&%%#%&&&&&&=====%# ##%%%%### %=*G*G*&&GG*G | + ##+%%%%## + + + #GGGGGG + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.04 |-----------------------------------------------------------| 0.035 |-+ + + + + + +-| 0.03 |-+ F* *+-| 0.025 |-+ ** **-| AKG0.02 |-+ ** * *-| 0.015 |-+ * ** *-| 0.01 |-+ *** * ** *-| 0.005 |-+ + ** ** + + + * ** *-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 30 |-+ | ####### 20 |-+ %%&&&&&&&&&# 10 |-+ #%%&&&%%## ##%&&&&XX*******&&&# z |&&&&&&&&XX&&&&&&&&&&&%%&&&&&*G*******======*G**&% 0 |-+*G**********G******G*******====&&&&&&&&%%#%=***&G #G -10 |-+##%%%&&&&%%%#%&&&&&&=====%# ######### %=*G*G*&*GG*G | + + + + + %GGGGGG + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.025 |-----------------------------------------------------------| | + + + + + *F | 0.02 |-+ * **+-| 0.015 |-+ *** * *-| AKG | * ** * | 0.01 |-+ * ** *-| 0.005 |-+ * ** *-| | + + + + ** * **| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 30 |-+ | ####### 20 |-+ %%&&&&&&&&&# 10 |-+ ##%%%%%%## #%&&&&&X*******&&& z |&&&&&&&&&&&&&&&&&&&&&%%&&&&&*G******=======*G**&% 0 |-+*G**********G******G*******====&&&&&&&%%%#%=***&G #G -10 |-+##%%%&&&&%%%#%&&&&&&=====%# ####### %=*G*G*&*GG*G | + + + + + %GGGGGG + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.02 |-----------------------------------------------------------| | + + + + + * F | 0.015 |-+ ** **+-| | * * * * | AKG0.01 |-+ * * * *-| | * ** * | 0.005 |-+ * * *-| | + + + + ** * * | 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 30 |-+ | ####### 20 |-+ %%&&&&&&&&&# 10 |-+ ##%%%%%%## #%&&&&&X*******&&& z |&&&&&&&&&&&&&&&&&&&&&%%&&&&&*G******=======*G**&% 0 |-+*G**********G******G*******====&&&&&&&%%%#%=***&G #G -10 |-+##%%%&&&&%%%#%&&&&&&=====%# ####### %=*G*G*&&GG*G | + + + + + %GGGGGG + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.014 |-----------------------------------------------------------| 0.012 |-+ + + + + + ** **+-| 0.01 |-+ * * * *-| 0.008 |-+ * * * *-| AKG | * * * * | 0.006 |-+ * ** *-| 0.004 |-+ * * *-| 0.002 |-+ + + + + +* * *-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 30 |-+ | ####### 20 |-+ %%&&&&&&&&&# 10 |-+ #%%%&&%%## #%&&&&XX*******&&&# z |&&&&&&&&&&&&&&&&&&&&&%%&&&&&*G******=======*G**&% 0 |-+*G**********G******G*******====&&&&&&&%%%#%=***&G #G -10 |-+##%%%&&&&%%%#%&&&&&&=====%# ####### %=*G*G=&&GG*G | + + + + + %GGGGGG + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.02 |-----------------------------------------------------------| | + + + + + | 0.015 |-+ ** *F+-| | *** ** | AKG0.01 |-+ * * * *-| | * ** * | 0.005 |-+ ** * *-| | + + + + +* * **| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 30 |-+ | ####### 20 |-+ %%&&&&&&&&&# 10 |-+ #%%%&&%%## #%&&&&XX*******&&&# z |&&&&&&&&&&&&&&&&&&&&&%%&&&&&*G******=======*G**&% 0 |-+*G**********G******G*******====&&&&&&&%%%#%=***&G #G -10 |-+##%%%&&&&%%%#%&&&&&&=====%# ####### %=*G*G=&&GG*G | + + + + + %GGGGGG + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.02 |-----------------------------------------------------------| | + + + + + | 0.015 |-+ * *F+-| | ** ** | AKG0.01 |-+ * * * *-| | * ** * | 0.005 |-+ * * *-| | + + + + +* * **| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 30 |-+ | ####### 20 |-+ %%&&&&&&&&&# 10 |-+ #%%%%%%%## #%&&&&XX*******&&&# z |&&&&&&&&&&&&&&&&&&&&&%%&&&&&*G******=======*G**&% 0 |-+*G**********G******G*******====&&&&&&&%%%#%=***&G #G -10 |-+##%%%&&&&%%%#%&&&&&&=====%# ####### %=*G*G=&&GG*G | + + + + + %GGGGGG + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.012 |-----------------------------------------------------------| 0.01 |-+ + + + + + F* **+-| | ** ** | 0.008 |-+ * * * *-| AKG.006 |-+ * * * *-| 0.004 |-+ * * * *-| | * * * | 0.002 |-+ + + + + +** * *-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 30 |-+ | ####### 20 |-+ %%&&&&&&&&&# 10 |-+ #%%%%%%%## #%&&&&XX*******&&& z |&&&&&&&&&&&&&&&&&&&&&%%&&&&&*G******=======*G**&% 0 |-+*G**********G******G*******====&&&&&&&%%%#%=***&G G #G -10 |-+##%%%&&&&%%%#%&&&&&&=====%# ####### %=*G*G*&&GG*G | + + + + + #GGGGGG + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.008 |-----------------------------------------------------------| | + + + + + *F | 0.006 |-+ ** *+-| | ** ** | AKG.004 |-+ ** * *-| | * ** * | 0.002 |-+ * ** *-| | + + + + + * * * | 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 30 |-+ | ####### 20 |-+ %%&&&&&&&&&# 10 |-+ ##%%%%%%## #%&&&&&X*******&&& z |&&&&&&&&&&&&&&&&&&&&&%%&&&&&*G******=======*G**&% 0 |-+*G**********G******G*******====&&&&&&&%%%#%=***&G G #G -10 |-+##%%%&&&&%%%#%&&&&&&=====%# ####### %=*G*GG&&GG*G | + + + + + #GGGGGG + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.007 |-----------------------------------------------------------| 0.006 |-+ + + + + + * F+-| 0.005 |-+ ** **+-| 0.004 |-+ ** **+-| AKG | ** * * | 0.003 |-+ ** * *-| 0.002 |-+ * ** *-| 0.001 |-+ + + + + + * * *-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 30 |-+ | ####### 20 |-+ %%&&&&&&&&&# 10 |-+ ##%%%%%%## #%&&&&&X*******&&& z |&&&&&&&&&&&&&&&&&&&&&%%&&&&&*G******=======*G**&% 0 |-+*G**********G******G*******====&&&&&&&%%%#%=***&G G #G -10 |-+##%%%&&&&%%%#%&&&&&&=====%# ####### %=*G*GG&&GG*G | + + + + + #GGGGGG + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.006 |-----------------------------------------------------------| 0.005 |-+ + + + + + F *+-| | ** * | 0.004 |-+ ** *+-| AKG.003 |-+ * ** *-| 0.002 |-+ * ** *-| | * ** * | 0.001 |-+ + + + + + ** ** *-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 30 |-+ | ####### 20 |-+ %%&&&&&&&&&# 10 |-+ #%%%%%%%## #%&&&&&X*******&&& z |&&&&&&&&&&&&&&&&&&&&&%%&&&&&*G*******======*G**&% 0 |-+*G**********G******G*******====&&&&&&&%%%#%=***&G G #G -10 |-+##%%%&&&&%%%#%&&&&&&=====%# ####### %=*G*GG&&GG*G | + + + + + #GGGGGG + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.006 |-----------------------------------------------------------| 0.005 |-+ + + + + + F *+-| | * * | 0.004 |-+ * * **-| AKG.003 |-+ * ** *-| 0.002 |-+ * ** *-| | * ** * | 0.001 |-+ + + + + + * * *-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 : x z init001 : 0.00000 -2.3159 init002 : 3.00000 0.9313 init003 : 6.00000 3.0518 init004 : 9.00000 7.8061 init005 : 12.00000 -3.5445 xg(014) : 0.78392 1.1179 xg(200) : 12.00000 -5.4888 xg(001) : 0.00000 1.9703 xg(186) : 11.15578 -12.2834 xg(179) : 10.73367 -10.9296 xg(169) : 10.13065 -9.1075 xg(169) : 10.13065 -4.0369 xg(195) : 11.69849 -11.9876 xg(169) : 10.13065 -7.5506 xg(195) : 11.69849 -7.4318 xg(191) : 11.45729 -13.3632 xg(183) : 10.97487 -11.3001 xg(177) : 10.61307 -10.4837 xg(192) : 11.51759 -8.5637 xg(177) : 10.61307 -11.7212 xg(191) : 11.45729 -11.4944 xg(177) : 10.61307 -7.8252 xg(191) : 11.45729 -6.3147 xg(178) : 10.67337 -7.7598 xg(191) : 11.45729 -9.4996 xg(177) : 10.61307 -8.4751 xg(191) : 11.45729 -6.6128 xg(178) : 10.67337 -7.9303 xg(191) : 11.45729 -10.2267 xg(178) : 10.67337 -12.3108 xg(191) : 11.45729 -11.0082 xg(178) : 10.67337 -9.6797 xg(191) : 11.45729 -9.8452 xg(178) : 10.67337 -9.7322 xg(191) : 11.45729 -7.6901 xg(178) : 10.67337 -9.7469 xg(191) : 11.45729 -10.5130 xg(178) : 10.67337 -10.1838 xg(191) : 11.45729 -6.8550 xg(178) : 10.67337 -11.9334 xg(190) : 11.39698 -10.7685 xg(178) : 10.67337 -9.4077 xg(191) : 11.45729 -13.9349 xg(178) : 10.67337 -11.5042 xg(191) : 11.45729 -10.5801 xg(178) : 10.67337 -11.1238 xg(191) : 11.45729 -5.5162 xg(178) : 10.67337 -11.6669 xg(075) : 4.46231 -2.6375 xg(184) : 11.03518 -10.8058 xg(189) : 11.33668 -11.2319 xg(189) : 11.33668 -9.0948 xg(189) : 11.33668 -10.4828 xg(189) : 11.33668 -11.7779 xg(178) : 10.67337 -11.1591 xg(189) : 11.33668 -10.5144 xg(178) : 10.67337 -8.1270 xg(178) : 10.67337 -10.6526 xg(190) : 11.39698 -12.2526 xg(178) : 10.67337 -13.4246 xg(189) : 11.33668 -10.1210 xg(189) : 11.33668 -12.2024 xg(178) : 10.67337 -10.6743 xg(178) : 10.67337 -13.6091 xg(189) : 11.33668 -10.4482 xg(189) : 11.33668 -9.6360 xg(189) : 11.33668 -9.1969 xg(189) : 11.33668 -10.8990 xg(178) : 10.67337 -9.6745 xg(178) : 10.67337 -9.7701 xg(189) : 11.33668 -12.0828 xg(178) : 10.67337 -11.3198 xg(189) : 11.33668 -9.0597 xg(178) : 10.67337 -9.2469 xg(189) : 11.33668 -12.8007 xg(178) : 10.67337 -8.2585 xg(178) : 10.67337 -12.4006 xg(189) : 11.33668 -8.7844 xg(189) : 11.33668 -10.9773 xg(178) : 10.67337 -4.0334 xg(179) : 10.73367 -11.2683 xg(179) : 10.73367 -9.1182 xg(179) : 10.73367 -11.8289 xg(179) : 10.73367 -8.3852 xg(179) : 10.73367 -11.2921 xg(190) : 11.39698 -11.7467 xg(179) : 10.73367 -8.8472 xg(179) : 10.73367 -14.0015 xg(189) : 11.33668 -12.6231 xg(179) : 10.73367 -8.2820 xg(179) : 10.73367 -8.8777 xg(179) : 10.73367 -10.2037 xg(179) : 10.73367 -11.0305 xg(190) : 11.39698 -9.9260 xg(179) : 10.73367 -10.1869 xg(179) : 10.73367 -9.7270 xg(190) : 11.39698 -9.4314 xg(179) : 10.73367 -10.0193 xg(190) : 11.39698 -9.8210 xg(179) : 10.73367 -11.4735 Number of evaluations: 5 + 95 = 100. 1 test, 1 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/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/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/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 out|======&&====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 out|&&&&=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 |------------------------| 1500 +---++--+-+--++---+ +||100% 1000 |++ + @+&@*+%$@&+* +#| | | | | | | | | || | @ &@* %$@& * #| + + + + + + + + || | @ &@* %$@& * #| | | || | @ &@* %$@& * #| 1000 +---+ +---+ || | @ &@* %$@& * #| | | +||75% 500 |-+ @ &@* %$########| | | || | @%&@*%%$@&%*%%%%| | | || | @ &@* %$@&&*&&&&| 500 +---+ +---+ || | @ &@*=%$===*=second objective | +||50% 0 |-+ @#&###%$########| 0 +---+ +---+ || | @=&=*=%$$$$$$$$$| | | || | @ & * % $$$*****| | | || | @ &&&&&&&&&&&&&&| | | || | @@@@@@@@@@@@@@@@| -500 +---+ +---+ +||25% -500 |-+ $ % +-| | | || | $ % | + + + + + + + + || | $$%%%%%%%%%%| | | | | | | | | || |+ + + + + + | -1000 +---++--+-+--++---+ || |------------------------| -4-30-20-1000100203000+||0% -3000-200-1000 0 10002000 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 = 1.2918 -1.7020 lognoisevariance = -4.5086 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 = -9.5160 -8.1781 lognoisevariance = -4.5145 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/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_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_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_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_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_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_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_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/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_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/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/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/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/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/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/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/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/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/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/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/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/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/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/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_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/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/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/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/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/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/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/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/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/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/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/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); : -------- -------- * : 0.735447 0.498669 * : 0.637802 0.970345 * : 0.793145 0.607495 ***** test format long; disp (x); : ---------------- ---------------- * : 0.73544736876409 0.49866862226621 * : 0.63780201524491 0.97034476377558 * : 0.79314487275074 0.60749536355391 ***** test format short; disp (x); format (fmt); : -------- -------- * : 0.735447 0.498669 * : 0.637802 0.970345 * : 0.793145 0.607495 ***** 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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/display.m] >>>>> /<>/inst/arrays/@stk_dataframe/display.m ***** test display (stk_dataframe (rand (3, 2))); = <3x2 stk_dataframe array> : -------- -------- * : 0.357051 0.694521 * : 0.855457 0.180502 * : 0.725151 0.736480 1 test, 1 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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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); : -------- -------- * : 0.690563 0.996657 * : 0.029145 0.337536 * : 0.879970 0.055832 ***** test format long; disp (x); : ---------------- ---------------- * : 0.69056300982500 0.99665680331912 * : 0.02914548138632 0.33753561090460 * : 0.87997048405128 0.05583235677346 ***** test format short; disp (x); format (fmt); : -------- -------- * : 0.690563 0.996657 * : 0.029145 0.337536 * : 0.879970 0.055832 ***** 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_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/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/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/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/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/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/@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/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/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_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_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/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_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/@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/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/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/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_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/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_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/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_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/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/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/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_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_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_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_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_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_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_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/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/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_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/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/@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/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/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/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_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/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/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_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_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_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_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/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_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_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_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_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_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_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_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_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/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_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/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_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_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_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_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_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 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_installinit -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 -O--buildsystem=octave dh_strip -O--buildsystem=octave dh_makeshlibs -O--buildsystem=octave dh_shlibdeps -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 144 INFO: pkgstriptranslations version 144 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: Running PNG optimization (using 4 cpus) for package octave-stk ... pkgstripfiles: No PNG files. dpkg-deb: building package 'octave-stk' in '../octave-stk_2.6.1-2_amd64.deb'. pkgstripfiles: processing control file: debian/.debhelper/octave-stk/dbgsym-root/DEBIAN/control, package octave-stk-dbgsym, directory debian/.debhelper/octave-stk/dbgsym-root dpkg-deb: building package 'octave-stk-dbgsym' in 'debian/.debhelper/scratch-space/build-octave-stk/octave-stk-dbgsym_2.6.1-2_amd64.deb'. Renaming octave-stk-dbgsym_2.6.1-2_amd64.deb to octave-stk-dbgsym_2.6.1-2_amd64.ddeb dpkg-genbuildinfo --build=binary dpkg-genchanges --build=binary -mLaunchpad Build Daemon >../octave-stk_2.6.1-2_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 20191114-1719 Finished -------- I: Built successfully +------------------------------------------------------------------------------+ | Post Build Chroot | +------------------------------------------------------------------------------+ +------------------------------------------------------------------------------+ | Changes | +------------------------------------------------------------------------------+ octave-stk_2.6.1-2_amd64.changes: --------------------------------- Format: 1.8 Date: Sat, 09 Nov 2019 03:41:25 -0300 Source: octave-stk Binary: octave-stk Architecture: amd64 Version: 2.6.1-2 Distribution: focal-proposed Urgency: medium Maintainer: Launchpad Build Daemon Changed-By: Rafael Laboissiere Description: octave-stk - (not so) Small Toolbox for Kriging Changes: octave-stk (2.6.1-2) unstable; urgency=medium . * Team upload . * d/control: Bump dependency on dh-octave to >= 0.7.1 This allows the injection of the virtual package octave-abi-N into the package's list of dependencies. * d/octave-stk.lintian-overrides: Ignore shared-lib-without-dependency-information waring Checksums-Sha1: f285f02502c1b6d2f6f7025a6d660e86f5b69e57 76984 octave-stk-dbgsym_2.6.1-2_amd64.ddeb 9a4ed304e866d02ab73a1cb361348a013bd91e60 16134 octave-stk_2.6.1-2_amd64.buildinfo 0285174bc084c1d8f4a0610760451247614bc317 308512 octave-stk_2.6.1-2_amd64.deb Checksums-Sha256: ea1330a4d4a68c881a87135184013d83d78ae7617ec60b19d5995e2692b01319 76984 octave-stk-dbgsym_2.6.1-2_amd64.ddeb d39b70dde0c5fa88a5feff687b6bf4baec16823e83d365702388431ebd3966cb 16134 octave-stk_2.6.1-2_amd64.buildinfo 83463a08739488f354e036db246e23b036543d6c1a382abb8cb8cb57206e0eb3 308512 octave-stk_2.6.1-2_amd64.deb Files: 55ff619a700d11aaa9e18c3e242a84af 76984 debug optional octave-stk-dbgsym_2.6.1-2_amd64.ddeb 5b44d106be035d4bef5320b810c01a98 16134 math optional octave-stk_2.6.1-2_amd64.buildinfo 8050140b3c0dc8df07669d5a835aacde 308512 math optional octave-stk_2.6.1-2_amd64.deb +------------------------------------------------------------------------------+ | Package contents | +------------------------------------------------------------------------------+ octave-stk_2.6.1-2_amd64.deb ---------------------------- new debian package, version 2.0. size 308512 bytes: control archive=13628 bytes. 1112 bytes, 22 lines control 54096 bytes, 510 lines md5sums Package: octave-stk Version: 2.6.1-2 Architecture: amd64 Maintainer: Ubuntu Developers Original-Maintainer: Debian Octave Group Installed-Size: 2202 Depends: octave (>= 5.1.0), 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: 8756 Build-Time: 288 Distribution: focal-proposed Host Architecture: amd64 Install-Time: 89 Job: octave-stk_2.6.1-2.dsc Machine Architecture: amd64 Package: octave-stk Package-Time: 378 Source-Version: 2.6.1-2 Space: 8756 Status: successful Version: 2.6.1-2 -------------------------------------------------------------------------------- Finished at 20191114-1719 Build needed 00:06:18, 8756k disc space RUN: /usr/share/launchpad-buildd/bin/in-target scan-for-processes --backend=chroot --series=focal --arch=amd64 PACKAGEBUILD-18106779 Scanning for processes to kill in build PACKAGEBUILD-18106779