https://launchpad.net/ubuntu/+source/octave-stk/2.6.1-3/+build/19765813 RUN: /usr/share/launchpad-buildd/bin/builder-prep Kernel version: Linux bos02-s390x-002 4.4.0-177-generic #207-Ubuntu SMP Mon Mar 16 01:15:38 UTC 2020 s390x Buildd toolchain package versions: launchpad-buildd_188 python-lpbuildd_188 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_1:2.7.4-0ubuntu1.7 dpkg-dev_1.18.4ubuntu1.6 python-debian_0.1.27ubuntu2. Syncing the system clock with the buildd NTP service... 3 Aug 17:12:41 ntpdate[1859]: adjust time server 10.211.37.1 offset -0.008786 sec RUN: /usr/share/launchpad-buildd/bin/in-target unpack-chroot --backend=chroot --series=groovy --arch=s390x PACKAGEBUILD-19765813 --image-type chroot /home/buildd/filecache-default/c742ba36b312cb05af21d0da5b96b5d4203afb06 Creating target for build PACKAGEBUILD-19765813 RUN: /usr/share/launchpad-buildd/bin/in-target mount-chroot --backend=chroot --series=groovy --arch=s390x PACKAGEBUILD-19765813 Starting target for build PACKAGEBUILD-19765813 RUN: /usr/share/launchpad-buildd/bin/in-target override-sources-list --backend=chroot --series=groovy --arch=s390x PACKAGEBUILD-19765813 'deb http://ftpmaster.internal/ubuntu groovy main universe' 'deb http://ftpmaster.internal/ubuntu groovy-security main universe' 'deb http://ftpmaster.internal/ubuntu groovy-updates main universe' 'deb http://ftpmaster.internal/ubuntu groovy-proposed main universe' Overriding sources.list in build-PACKAGEBUILD-19765813 RUN: /usr/share/launchpad-buildd/bin/in-target update-debian-chroot --backend=chroot --series=groovy --arch=s390x PACKAGEBUILD-19765813 Updating target for build PACKAGEBUILD-19765813 Get:1 http://ftpmaster.internal/ubuntu groovy InRelease [267 kB] Get:2 http://ftpmaster.internal/ubuntu groovy-security InRelease [89.1 kB] Get:3 http://ftpmaster.internal/ubuntu groovy-updates InRelease [89.1 kB] Get:4 http://ftpmaster.internal/ubuntu groovy-proposed InRelease [118 kB] Get:5 http://ftpmaster.internal/ubuntu groovy/main s390x Packages [927 kB] Get:6 http://ftpmaster.internal/ubuntu groovy/main Translation-en [510 kB] Get:7 http://ftpmaster.internal/ubuntu groovy/universe s390x Packages [8428 kB] Get:8 http://ftpmaster.internal/ubuntu groovy/universe Translation-en [5251 kB] Get:9 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x Packages [129 kB] Get:10 http://ftpmaster.internal/ubuntu groovy-proposed/main Translation-en [64.4 kB] Get:11 http://ftpmaster.internal/ubuntu groovy-proposed/universe s390x Packages [378 kB] Get:12 http://ftpmaster.internal/ubuntu groovy-proposed/universe Translation-en [215 kB] Fetched 16.5 MB in 4s (4195 kB/s) Reading package lists... Reading package lists... Building dependency tree... Reading state information... Calculating upgrade... The following package was automatically installed and is no longer required: libjson-c4 Use 'sudo apt autoremove' to remove it. The following NEW packages will be installed: libjson-c5 The following packages will be upgraded: base-files bsdutils build-essential ca-certificates coreutils dpkg dpkg-dev libblkid1 libc-bin libc-dev-bin libc6 libc6-dev libcryptsetup12 libdpkg-perl liblzma5 libmount1 libmpc3 libmpfr6 libselinux1 libsemanage-common libsemanage1 libsmartcols1 libsystemd0 libudev1 libuuid1 linux-libc-dev mount systemd systemd-sysv systemd-timesyncd util-linux xz-utils 32 upgraded, 1 newly installed, 0 to remove and 0 not upgraded. Need to get 16.8 MB of archives. After this operation, 2501 kB of additional disk space will be used. Get:1 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libc6-dev s390x 2.31-2ubuntu1 [1895 kB] Get:2 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libc-dev-bin s390x 2.31-2ubuntu1 [66.4 kB] Get:3 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x linux-libc-dev s390x 5.8.0-12.13 [1116 kB] Get:4 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libc6 s390x 2.31-2ubuntu1 [2364 kB] Get:5 http://ftpmaster.internal/ubuntu groovy/main s390x base-files s390x 11ubuntu10 [60.2 kB] Get:6 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x bsdutils s390x 1:2.36-2ubuntu1 [85.7 kB] Get:7 http://ftpmaster.internal/ubuntu groovy/main s390x libselinux1 s390x 3.1-2 [65.7 kB] Get:8 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x coreutils s390x 8.32-3ubuntu1 [1460 kB] Get:9 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x dpkg s390x 1.20.5ubuntu1 [1177 kB] Get:10 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x util-linux s390x 2.36-2ubuntu1 [1068 kB] Get:11 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libc-bin s390x 2.31-2ubuntu1 [558 kB] Get:12 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x systemd-timesyncd s390x 245.7-1ubuntu1 [26.9 kB] Get:13 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x systemd-sysv s390x 245.7-1ubuntu1 [10.3 kB] Get:14 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libjson-c5 s390x 0.15-1 [33.0 kB] Get:15 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libblkid1 s390x 2.36-2ubuntu1 [130 kB] Get:16 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libuuid1 s390x 2.36-2ubuntu1 [21.7 kB] Get:17 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libcryptsetup12 s390x 2:2.3.3-1ubuntu4 [183 kB] Get:18 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libmount1 s390x 2.36-2ubuntu1 [143 kB] Get:19 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x mount s390x 2.36-2ubuntu1 [119 kB] Get:20 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x systemd s390x 245.7-1ubuntu1 [4040 kB] Get:21 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libsystemd0 s390x 245.7-1ubuntu1 [281 kB] Get:22 http://ftpmaster.internal/ubuntu groovy/main s390x liblzma5 s390x 5.2.4-1ubuntu1 [90.5 kB] Get:23 http://ftpmaster.internal/ubuntu groovy/main s390x libsemanage-common all 3.1-1 [10.2 kB] Get:24 http://ftpmaster.internal/ubuntu groovy/main s390x libsemanage1 s390x 3.1-1 [80.7 kB] Get:25 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libsmartcols1 s390x 2.36-2ubuntu1 [95.8 kB] Get:26 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libudev1 s390x 245.7-1ubuntu1 [71.8 kB] Get:27 http://ftpmaster.internal/ubuntu groovy/main s390x ca-certificates all 20200601 [147 kB] Get:28 http://ftpmaster.internal/ubuntu groovy/main s390x xz-utils s390x 5.2.4-1ubuntu1 [80.5 kB] Get:29 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x dpkg-dev all 1.20.5ubuntu1 [758 kB] Get:30 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libdpkg-perl all 1.20.5ubuntu1 [231 kB] Get:31 http://ftpmaster.internal/ubuntu groovy/main s390x build-essential s390x 12.8ubuntu3 [4636 B] Get:32 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libmpfr6 s390x 4.1.0-3 [254 kB] Get:33 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libmpc3 s390x 1.2.0~rc1-1 [43.4 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 16.8 MB in 1s (16.9 MB/s) (Reading database ... 12573 files and directories currently installed.) Preparing to unpack .../libc6-dev_2.31-2ubuntu1_s390x.deb ... Unpacking libc6-dev:s390x (2.31-2ubuntu1) over (2.31-0ubuntu10) ... Preparing to unpack .../libc-dev-bin_2.31-2ubuntu1_s390x.deb ... Unpacking libc-dev-bin (2.31-2ubuntu1) over (2.31-0ubuntu10) ... Preparing to unpack .../linux-libc-dev_5.8.0-12.13_s390x.deb ... Unpacking linux-libc-dev:s390x (5.8.0-12.13) over (5.4.0-42.46) ... Preparing to unpack .../libc6_2.31-2ubuntu1_s390x.deb ... Unpacking libc6:s390x (2.31-2ubuntu1) over (2.31-0ubuntu10) ... Setting up libc6:s390x (2.31-2ubuntu1) ... (Reading database ... 12587 files and directories currently installed.) Preparing to unpack .../base-files_11ubuntu10_s390x.deb ... Unpacking base-files (11ubuntu10) over (11ubuntu9) ... Setting up base-files (11ubuntu10) ... Installing new version of config file /etc/update-motd.d/50-motd-news ... (Reading database ... 12587 files and directories currently installed.) Preparing to unpack .../bsdutils_1%3a2.36-2ubuntu1_s390x.deb ... Unpacking bsdutils (1:2.36-2ubuntu1) over (1:2.35.2-7ubuntu3) ... Setting up bsdutils (1:2.36-2ubuntu1) ... (Reading database ... 12587 files and directories currently installed.) Preparing to unpack .../libselinux1_3.1-2_s390x.deb ... Unpacking libselinux1:s390x (3.1-2) over (3.0-1build2) ... Setting up libselinux1:s390x (3.1-2) ... (Reading database ... 12587 files and directories currently installed.) Preparing to unpack .../coreutils_8.32-3ubuntu1_s390x.deb ... Unpacking coreutils (8.32-3ubuntu1) over (8.30-3ubuntu3) ... Setting up coreutils (8.32-3ubuntu1) ... (Reading database ... 12685 files and directories currently installed.) Preparing to unpack .../dpkg_1.20.5ubuntu1_s390x.deb ... Unpacking dpkg (1.20.5ubuntu1) over (1.19.7ubuntu4) ... Setting up dpkg (1.20.5ubuntu1) ... Installing new version of config file /etc/cron.daily/dpkg ... (Reading database ... 12694 files and directories currently installed.) Preparing to unpack .../util-linux_2.36-2ubuntu1_s390x.deb ... Unpacking util-linux (2.36-2ubuntu1) over (2.35.2-7ubuntu3) ... Setting up util-linux (2.36-2ubuntu1) ... (Reading database ... 12693 files and directories currently installed.) Preparing to unpack .../libc-bin_2.31-2ubuntu1_s390x.deb ... Unpacking libc-bin (2.31-2ubuntu1) over (2.31-0ubuntu10) ... Setting up libc-bin (2.31-2ubuntu1) ... (Reading database ... 12693 files and directories currently installed.) Preparing to unpack .../systemd-timesyncd_245.7-1ubuntu1_s390x.deb ... Unpacking systemd-timesyncd (245.7-1ubuntu1) over (245.6-3ubuntu3) ... Preparing to unpack .../systemd-sysv_245.7-1ubuntu1_s390x.deb ... Unpacking systemd-sysv (245.7-1ubuntu1) over (245.6-3ubuntu3) ... Selecting previously unselected package libjson-c5:s390x. Preparing to unpack .../libjson-c5_0.15-1_s390x.deb ... Unpacking libjson-c5:s390x (0.15-1) ... Preparing to unpack .../libblkid1_2.36-2ubuntu1_s390x.deb ... Unpacking libblkid1:s390x (2.36-2ubuntu1) over (2.35.2-7ubuntu3) ... Setting up libblkid1:s390x (2.36-2ubuntu1) ... (Reading database ... 12700 files and directories currently installed.) Preparing to unpack .../libuuid1_2.36-2ubuntu1_s390x.deb ... Unpacking libuuid1:s390x (2.36-2ubuntu1) over (2.35.2-7ubuntu3) ... Setting up libuuid1:s390x (2.36-2ubuntu1) ... (Reading database ... 12700 files and directories currently installed.) Preparing to unpack .../libcryptsetup12_2%3a2.3.3-1ubuntu4_s390x.deb ... Unpacking libcryptsetup12:s390x (2:2.3.3-1ubuntu4) over (2:2.3.3-1ubuntu3) ... Preparing to unpack .../libmount1_2.36-2ubuntu1_s390x.deb ... Unpacking libmount1:s390x (2.36-2ubuntu1) over (2.35.2-7ubuntu3) ... Setting up libmount1:s390x (2.36-2ubuntu1) ... (Reading database ... 12700 files and directories currently installed.) Preparing to unpack .../mount_2.36-2ubuntu1_s390x.deb ... Unpacking mount (2.36-2ubuntu1) over (2.35.2-7ubuntu3) ... Preparing to unpack .../systemd_245.7-1ubuntu1_s390x.deb ... Unpacking systemd (245.7-1ubuntu1) over (245.6-3ubuntu3) ... Preparing to unpack .../libsystemd0_245.7-1ubuntu1_s390x.deb ... Unpacking libsystemd0:s390x (245.7-1ubuntu1) over (245.6-3ubuntu3) ... Setting up libsystemd0:s390x (245.7-1ubuntu1) ... (Reading database ... 12700 files and directories currently installed.) Preparing to unpack .../liblzma5_5.2.4-1ubuntu1_s390x.deb ... Unpacking liblzma5:s390x (5.2.4-1ubuntu1) over (5.2.4-1) ... Setting up liblzma5:s390x (5.2.4-1ubuntu1) ... (Reading database ... 12700 files and directories currently installed.) Preparing to unpack .../libsemanage-common_3.1-1_all.deb ... Unpacking libsemanage-common (3.1-1) over (3.0-1build2) ... Setting up libsemanage-common (3.1-1) ... (Reading database ... 12700 files and directories currently installed.) Preparing to unpack .../libsemanage1_3.1-1_s390x.deb ... Unpacking libsemanage1:s390x (3.1-1) over (3.0-1build2) ... Setting up libsemanage1:s390x (3.1-1) ... (Reading database ... 12700 files and directories currently installed.) Preparing to unpack .../libsmartcols1_2.36-2ubuntu1_s390x.deb ... Unpacking libsmartcols1:s390x (2.36-2ubuntu1) over (2.35.2-7ubuntu3) ... Setting up libsmartcols1:s390x (2.36-2ubuntu1) ... (Reading database ... 12700 files and directories currently installed.) Preparing to unpack .../libudev1_245.7-1ubuntu1_s390x.deb ... Unpacking libudev1:s390x (245.7-1ubuntu1) over (245.6-3ubuntu3) ... Setting up libudev1:s390x (245.7-1ubuntu1) ... (Reading database ... 12700 files and directories currently installed.) Preparing to unpack .../0-ca-certificates_20200601_all.deb ... Unpacking ca-certificates (20200601) over (20190110ubuntu2) ... Preparing to unpack .../1-xz-utils_5.2.4-1ubuntu1_s390x.deb ... Unpacking xz-utils (5.2.4-1ubuntu1) over (5.2.4-1) ... Preparing to unpack .../2-dpkg-dev_1.20.5ubuntu1_all.deb ... Unpacking dpkg-dev (1.20.5ubuntu1) over (1.19.7ubuntu4) ... Preparing to unpack .../3-libdpkg-perl_1.20.5ubuntu1_all.deb ... Unpacking libdpkg-perl (1.20.5ubuntu1) over (1.19.7ubuntu4) ... Preparing to unpack .../4-build-essential_12.8ubuntu3_s390x.deb ... Unpacking build-essential (12.8ubuntu3) over (12.8ubuntu1) ... Preparing to unpack .../5-libmpfr6_4.1.0-3_s390x.deb ... Unpacking libmpfr6:s390x (4.1.0-3) over (4.0.2-1build1) ... Preparing to unpack .../6-libmpc3_1.2.0~rc1-1_s390x.deb ... Unpacking libmpc3:s390x (1.2.0~rc1-1) over (1.1.0-1) ... Setting up linux-libc-dev:s390x (5.8.0-12.13) ... Setting up ca-certificates (20200601) ... Updating certificates in /etc/ssl/certs... 13 added, 14 removed; done. Setting up libmpfr6:s390x (4.1.0-3) ... Setting up xz-utils (5.2.4-1ubuntu1) ... Setting up libmpc3:s390x (1.2.0~rc1-1) ... Setting up libdpkg-perl (1.20.5ubuntu1) ... Setting up mount (2.36-2ubuntu1) ... Setting up libc-dev-bin (2.31-2ubuntu1) ... Setting up libjson-c5:s390x (0.15-1) ... Setting up dpkg-dev (1.20.5ubuntu1) ... Setting up libc6-dev:s390x (2.31-2ubuntu1) ... Setting up libcryptsetup12:s390x (2:2.3.3-1ubuntu4) ... Setting up build-essential (12.8ubuntu3) ... Setting up systemd-timesyncd (245.7-1ubuntu1) ... Setting up systemd (245.7-1ubuntu1) ... Initializing machine ID from random generator. Setting up systemd-sysv (245.7-1ubuntu1) ... Processing triggers for libc-bin (2.31-2ubuntu1) ... Processing triggers for ca-certificates (20200601) ... Updating certificates in /etc/ssl/certs... 0 added, 0 removed; done. Running hooks in /etc/ca-certificates/update.d... done. RUN: /usr/share/launchpad-buildd/bin/sbuild-package PACKAGEBUILD-19765813 s390x groovy-proposed -c chroot:build-PACKAGEBUILD-19765813 --arch=s390x --dist=groovy-proposed --nolog octave-stk_2.6.1-3.dsc Initiating build PACKAGEBUILD-19765813 with 4 jobs across 4 processor cores. Kernel reported to sbuild: 4.4.0-177-generic #207-Ubuntu SMP Mon Mar 16 01:15:38 UTC 2020 s390x sbuild (Debian sbuild) 0.67.0 (26 Dec 2015) on bos02-s390x-002.buildd +==============================================================================+ | octave-stk 2.6.1-3 (s390x) 03 Aug 2020 17:12 | +==============================================================================+ Package: octave-stk Version: 2.6.1-3 Source Version: 2.6.1-3 Distribution: groovy-proposed Machine Architecture: s390x Host Architecture: s390x Build Architecture: s390x I: NOTICE: Log filtering will replace 'build/octave-stk-udhD3M/octave-stk-2.6.1' with '<>' I: NOTICE: Log filtering will replace 'build/octave-stk-udhD3M' with '<>' I: NOTICE: Log filtering will replace 'home/buildd/build-PACKAGEBUILD-19765813/chroot-autobuild' with '<>' +------------------------------------------------------------------------------+ | Fetch source files | +------------------------------------------------------------------------------+ Local sources ------------- octave-stk_2.6.1-3.dsc exists in .; copying to chroot Check architectures ------------------- Check dependencies ------------------ Merged Build-Depends: build-essential, fakeroot Filtered Build-Depends: build-essential, fakeroot dpkg-deb: building package 'sbuild-build-depends-core-dummy' in '/<>/resolver-gY1myB/apt_archive/sbuild-build-depends-core-dummy.deb'. Ign:1 copy:/<>/resolver-gY1myB/apt_archive ./ InRelease Get:2 copy:/<>/resolver-gY1myB/apt_archive ./ Release [2119 B] Ign:3 copy:/<>/resolver-gY1myB/apt_archive ./ Release.gpg Get:4 copy:/<>/resolver-gY1myB/apt_archive ./ Sources [214 B] Get:5 copy:/<>/resolver-gY1myB/apt_archive ./ Packages [525 B] Fetched 2858 B in 0s (0 B/s) Reading package lists... Reading package lists... +------------------------------------------------------------------------------+ | Install core build dependencies (apt-based resolver) | +------------------------------------------------------------------------------+ Installing build dependencies Reading package lists... Building dependency tree... Reading state information... The following package was automatically installed and is no longer required: libjson-c4 Use 'apt autoremove' to remove it. The following NEW packages will be installed: sbuild-build-depends-core-dummy 0 upgraded, 1 newly installed, 0 to remove and 0 not upgraded. Need to get 856 B of archives. After this operation, 0 B of additional disk space will be used. Get:1 copy:/<>/resolver-gY1myB/apt_archive ./ sbuild-build-depends-core-dummy 0.invalid.0 [856 B] debconf: delaying package configuration, since apt-utils is not installed Fetched 856 B in 0s (0 B/s) Selecting previously unselected package sbuild-build-depends-core-dummy. (Reading database ... 12679 files and directories currently installed.) Preparing to unpack .../sbuild-build-depends-core-dummy_0.invalid.0_s390x.deb ... Unpacking sbuild-build-depends-core-dummy (0.invalid.0) ... Setting up sbuild-build-depends-core-dummy (0.invalid.0) ... Merged Build-Depends: debhelper-compat (= 13), dh-octave (>= 0.7.1) Filtered Build-Depends: debhelper-compat (= 13), dh-octave (>= 0.7.1) dpkg-deb: building package 'sbuild-build-depends-octave-stk-dummy' in '/<>/resolver-T_iIf9/apt_archive/sbuild-build-depends-octave-stk-dummy.deb'. Ign:1 copy:/<>/resolver-T_iIf9/apt_archive ./ InRelease Get:2 copy:/<>/resolver-T_iIf9/apt_archive ./ Release [2119 B] Ign:3 copy:/<>/resolver-T_iIf9/apt_archive ./ Release.gpg Get:4 copy:/<>/resolver-T_iIf9/apt_archive ./ Sources [231 B] Get:5 copy:/<>/resolver-T_iIf9/apt_archive ./ Packages [547 B] Fetched 2897 B in 0s (0 B/s) Reading package lists... Reading package lists... +------------------------------------------------------------------------------+ | Install octave-stk build dependencies (apt-based resolver) | +------------------------------------------------------------------------------+ Installing build dependencies Reading package lists... Building dependency tree... Reading state information... The following package was automatically installed and is no longer required: libjson-c4 Use 'apt autoremove' to remove it. The following additional packages will be installed: aglfn autoconf automake autopoint autotools-dev bsdextrautils cme debhelper dh-autoreconf dh-octave dh-octave-autopkgtest dh-strip-nondeterminism diffstat dwz file fontconfig fontconfig-config fonts-dejavu-core fonts-freefont-otf gettext gettext-base gfortran gfortran-10 gnuplot-data gnuplot-nox groff-base hdf5-helpers intltool-debian libaec-dev libaec0 libalgorithm-c3-perl libaliased-perl libamd2 libapp-cmd-perl libapt-pkg-perl libarchive-zip-perl libarpack2 libarray-intspan-perl libasn1-8-heimdal libasound2 libasound2-data libavahi-client3 libavahi-common-data libavahi-common3 libb-hooks-endofscope-perl libb-hooks-op-check-perl libblas-dev libblas3 libboolean-perl libbrotli1 libbsd0 libcairo2 libcamd2 libcapture-tiny-perl libcarp-assert-more-perl libcarp-assert-perl libccolamd2 libcholmod3 libclass-c3-perl libclass-data-inheritable-perl libclass-load-perl libclass-method-modifiers-perl libclass-xsaccessor-perl libclone-choose-perl libclone-perl libcolamd2 libconfig-model-backend-yaml-perl libconfig-model-dpkg-perl libconfig-model-perl libconfig-tiny-perl libconvert-binhex-perl libcpanel-json-xs-perl libcroco3 libcups2 libcurl3-gnutls libcxsparse3 libdata-dpath-perl libdata-messagepack-perl libdata-optlist-perl libdata-section-perl libdata-validate-domain-perl libdatrie1 libdbus-1-3 libdebhelper-perl libdevel-callchecker-perl libdevel-size-perl libdevel-stacktrace-perl libdouble-conversion3 libdrm-amdgpu1 libdrm-common libdrm-nouveau2 libdrm-radeon1 libdrm2 libdynaloader-functions-perl libedit2 libegl-dev libegl-mesa0 libegl1 libelf1 libemail-address-xs-perl libencode-locale-perl liberror-perl libevdev2 libexception-class-perl libexpat1 libexporter-lite-perl libexporter-tiny-perl libfftw3-bin libfftw3-dev libfftw3-double3 libfftw3-long3 libfftw3-single3 libfile-basedir-perl libfile-find-rule-perl libfile-homedir-perl libfile-listing-perl libfile-stripnondeterminism-perl libfile-which-perl libflac8 libfltk-gl1.3 libfltk1.3 libfont-ttf-perl libfontconfig1 libfreetype6 libfribidi0 libfuture-perl libgbm1 libgd3 libgetopt-long-descriptive-perl libgfortran-10-dev libgfortran5 libgl-dev libgl1 libgl1-mesa-dev libgl1-mesa-dri libgl2ps1.4 libglapi-mesa libgles-dev libgles1 libgles2 libglib2.0-0 libglpk40 libglu1-mesa libglvnd-dev libglvnd0 libglx-dev libglx-mesa0 libglx0 libgraphicsmagick++-q16-12 libgraphicsmagick-q16-3 libgraphite2-3 libgssapi-krb5-2 libgssapi3-heimdal libgudev-1.0-0 libharfbuzz0b libhash-fieldhash-perl libhash-merge-perl libhcrypto4-heimdal libhdf5-103-1 libhdf5-cpp-103-1 libhdf5-dev libhdf5-fortran-102 libhdf5-hl-100 libhdf5-hl-cpp-100 libhdf5-hl-fortran-100 libheimbase1-heimdal libheimntlm0-heimdal libhtml-parser-perl libhtml-tagset-perl libhtml-tree-perl libhttp-cookies-perl libhttp-date-perl libhttp-message-perl libhttp-negotiate-perl libhx509-5-heimdal libice6 libicu67 libimport-into-perl libinput-bin libinput10 libio-async-loop-epoll-perl libio-async-perl libio-html-perl libio-socket-ssl-perl libio-string-perl libio-stringy-perl libio-tiecombine-perl libipc-run3-perl libipc-system-simple-perl libiterator-perl libiterator-util-perl libjack-jackd2-0 libjbig0 libjpeg-dev libjpeg-turbo8 libjpeg-turbo8-dev libjpeg8 libjpeg8-dev libjson-maybexs-perl libjson-perl libk5crypto3 libkeyutils1 libkrb5-26-heimdal libkrb5-3 libkrb5support0 liblapack-dev liblapack3 liblcms2-2 libldap-2.4-2 libldap-common liblinux-epoll-perl liblist-compare-perl liblist-moreutils-perl liblist-someutils-perl liblist-utilsby-perl libllvm10 liblog-any-adapter-screen-perl liblog-any-perl liblog-log4perl-perl libltdl7 liblua5.3-0 liblwp-mediatypes-perl liblwp-protocol-https-perl libmagic-mgc libmagic1 libmailtools-perl libmd4c0 libmetis5 libmetrics-any-perl libmime-tools-perl libmodule-implementation-perl libmodule-pluggable-perl libmodule-runtime-perl libmoo-perl libmoox-aliases-perl libmoox-struct-perl libmouse-perl libmousex-nativetraits-perl libmousex-strictconstructor-perl libmro-compat-perl libmtdev1 libnamespace-autoclean-perl libnamespace-clean-perl libncurses-dev libnet-domain-tld-perl libnet-http-perl libnet-smtp-ssl-perl libnet-ssleay-perl libnghttp2-14 libnumber-compare-perl libnumber-range-perl libobject-id-perl liboctave-dev liboctave7 libogg0 libopengl-dev libopengl0 libpackage-stash-perl libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libparams-classify-perl libparams-util-perl libparams-validate-perl libparse-debcontrol-perl libparse-recdescent-perl libpath-iterator-rule-perl libpath-tiny-perl libpcre2-16-0 libperlio-gzip-perl libpipeline1 libpixman-1-0 libpod-constants-perl libpod-pom-perl libportaudio2 libpsl5 libpthread-stubs0-dev libqhull8.0 libqrupdate1 libqscintilla2-qt5-15 libqscintilla2-qt5-l10n libqt5core5a libqt5dbus5 libqt5gui5 libqt5help5 libqt5network5 libqt5printsupport5 libqt5sql5 libqt5widgets5 libqt5xml5 libre-engine-re2-perl libre2-8 libreadline-dev libregexp-common-perl libregexp-pattern-license-perl libregexp-pattern-perl libroken18-heimdal librole-tiny-perl librtmp1 libsamplerate0 libsasl2-2 libsasl2-modules-db libsensors-config libsensors5 libsereal-decoder-perl libsereal-encoder-perl libsigsegv2 libsm6 libsndfile1 libsoftware-license-perl libsoftware-licensemoreutils-perl libsort-key-perl libsort-versions-perl libssh-4 libstrictures-perl libstring-copyright-perl libstring-escape-perl libstring-rewriteprefix-perl libstruct-dumb-perl libsub-exporter-perl libsub-exporter-progressive-perl libsub-identify-perl libsub-install-perl libsub-name-perl libsub-override-perl libsub-quote-perl libsub-uplevel-perl libsuitesparseconfig5 libsz2 libtest-exception-perl libtest-metrics-any-perl libtext-autoformat-perl libtext-glob-perl libtext-levenshtein-damerau-perl libtext-levenshteinxs-perl libtext-reform-perl libtext-template-perl libtext-unidecode-perl libtext-xslate-perl libthai-data libthai0 libtiff5 libtime-duration-perl libtime-moment-perl libtimedate-perl libtool libtry-tiny-perl libtype-tiny-perl libuchardet0 libumfpack5 libunicode-utf8-perl liburi-perl libvariable-magic-perl libvorbis0a libvorbisenc2 libwacom-common libwacom2 libwayland-client0 libwayland-server0 libwebp6 libwebpmux3 libwind0-heimdal libwmf0.2-7 libwww-perl libwww-robotrules-perl libx11-6 libx11-data libx11-dev libx11-xcb1 libxau-dev libxau6 libxcb-dri2-0 libxcb-dri3-0 libxcb-glx0 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-present0 libxcb-randr0 libxcb-render-util0 libxcb-render0 libxcb-shape0 libxcb-shm0 libxcb-sync1 libxcb-util1 libxcb-xfixes0 libxcb-xinerama0 libxcb-xinput0 libxcb-xkb1 libxcb1 libxcb1-dev libxcursor1 libxdamage1 libxdmcp-dev libxdmcp6 libxext6 libxfixes3 libxft2 libxinerama1 libxkbcommon-x11-0 libxkbcommon0 libxml-libxml-perl libxml-namespacesupport-perl libxml-sax-base-perl libxml-sax-perl libxml-writer-perl libxml2 libxpm4 libxrender1 libxshmfence1 libxxf86vm1 libyaml-0-2 libyaml-libyaml-perl libyaml-perl libyaml-tiny-perl licensecheck lintian lzip m4 man-db netbase octave octave-common patchutils perl-openssl-defaults po-debconf shared-mime-info t1utils tex-common texinfo ucf x11-common x11proto-core-dev x11proto-dev xkb-data xorg-sgml-doctools xtrans-dev zlib1g-dev Suggested packages: autoconf-archive gnu-standards autoconf-doc libconfig-model-cursesui-perl libconfig-model-itself-perl dh-make gettext-doc libasprintf-dev libgettextpo-dev gfortran-multilib gfortran-doc gfortran-10-multilib gfortran-10-doc libcoarrays-dev gnuplot-doc groff libasound2-plugins alsa-utils liblapack-doc libconfig-model-openssh-perl libterm-readline-perl-perl | libterm-readline-gnu-perl cups-common libfftw3-doc libxml-parser-perl libgd-tools libiodbc2-dev default-libmysqlclient-dev graphicsmagick-dbg krb5-doc krb5-user libhdf5-doc libdata-dump-perl jackd2 liblcms2-utils libdbd-csv-perl liblog-dispatch-filerotate-perl librrds-perl libxml-dom-perl libcrypt-ssleay-perl ncurses-doc libossp-uuid-perl libscalar-number-perl libqscintilla2-doc qt5-image-formats-plugins qtwayland5 readline-doc lm-sensors libbareword-filehandles-perl libindirect-perl libmultidimensional-perl libtool-doc gcj-jdk libdevel-lexalias-perl libwmf0.2-7-gtk libauthen-ntlm-perl libx11-doc libxcb-doc libyaml-shell-perl bash-completion binutils-multiarch m4-doc apparmor less www-browser libmail-box-perl texlive-base texlive-latex-base texlive-plain-generic texlive-fonts-recommended Recommended packages: libconfig-model-approx-perl libconfig-model-lcdproc-perl libconfig-model-openssh-perl libconfig-model-systemd-perl libconfig-model-tkui-perl curl | wget | lynx fonts-liberation groff alsa-ucm-conf alsa-topology-conf libclass-c3-xs-perl bash-completion fuse libfuse-perl dbus libarchive-cpio-perl libglib2.0-data xdg-user-dirs ghostscript gsfonts libhtml-format-perl libasync-mergepoint-perl libsereal-perl libtest-fatal-perl libtest-refcount-perl libjson-xs-perl krb5-locales liblist-someutils-xs-perl libipc-shareable-perl liblog-dispatch-perl libauthen-sasl-perl libpackage-stash-xs-perl libtie-ixhash-perl publicsuffix qttranslations5-l10n libqt5svg5 qt5-gtk-platformtheme libqt5sql5-sqlite | libqt5sql5-mysql | libqt5sql5-odbc | libqt5sql5-psql | libqt5sql5-tds | libqt5sql5-ibase libsasl2-modules libltdl-dev libref-util-perl libtype-tiny-xs-perl libwacom-bin fonts-urw-base35 libdata-dump-perl libhtml-form-perl libhttp-daemon-perl libxml-sax-expat-perl libopenblas0 | libatlas3-base pstoedit epstool default-jre-headless octave-doc libmail-sendmail-perl The following NEW packages will be installed: aglfn autoconf automake autopoint autotools-dev bsdextrautils cme debhelper dh-autoreconf dh-octave dh-octave-autopkgtest dh-strip-nondeterminism diffstat dwz file fontconfig fontconfig-config fonts-dejavu-core fonts-freefont-otf gettext gettext-base gfortran gfortran-10 gnuplot-data gnuplot-nox groff-base hdf5-helpers intltool-debian libaec-dev libaec0 libalgorithm-c3-perl libaliased-perl libamd2 libapp-cmd-perl libapt-pkg-perl libarchive-zip-perl libarpack2 libarray-intspan-perl libasn1-8-heimdal libasound2 libasound2-data libavahi-client3 libavahi-common-data libavahi-common3 libb-hooks-endofscope-perl libb-hooks-op-check-perl libblas-dev libblas3 libboolean-perl libbrotli1 libbsd0 libcairo2 libcamd2 libcapture-tiny-perl libcarp-assert-more-perl libcarp-assert-perl libccolamd2 libcholmod3 libclass-c3-perl libclass-data-inheritable-perl libclass-load-perl libclass-method-modifiers-perl libclass-xsaccessor-perl libclone-choose-perl libclone-perl libcolamd2 libconfig-model-backend-yaml-perl libconfig-model-dpkg-perl libconfig-model-perl libconfig-tiny-perl libconvert-binhex-perl libcpanel-json-xs-perl libcroco3 libcups2 libcurl3-gnutls libcxsparse3 libdata-dpath-perl libdata-messagepack-perl libdata-optlist-perl libdata-section-perl libdata-validate-domain-perl libdatrie1 libdbus-1-3 libdebhelper-perl libdevel-callchecker-perl libdevel-size-perl libdevel-stacktrace-perl libdouble-conversion3 libdrm-amdgpu1 libdrm-common libdrm-nouveau2 libdrm-radeon1 libdrm2 libdynaloader-functions-perl libedit2 libegl-dev libegl-mesa0 libegl1 libelf1 libemail-address-xs-perl libencode-locale-perl liberror-perl libevdev2 libexception-class-perl libexpat1 libexporter-lite-perl libexporter-tiny-perl libfftw3-bin libfftw3-dev libfftw3-double3 libfftw3-long3 libfftw3-single3 libfile-basedir-perl libfile-find-rule-perl libfile-homedir-perl libfile-listing-perl libfile-stripnondeterminism-perl libfile-which-perl libflac8 libfltk-gl1.3 libfltk1.3 libfont-ttf-perl libfontconfig1 libfreetype6 libfribidi0 libfuture-perl libgbm1 libgd3 libgetopt-long-descriptive-perl libgfortran-10-dev libgfortran5 libgl-dev libgl1 libgl1-mesa-dev libgl1-mesa-dri libgl2ps1.4 libglapi-mesa libgles-dev libgles1 libgles2 libglib2.0-0 libglpk40 libglu1-mesa libglvnd-dev libglvnd0 libglx-dev libglx-mesa0 libglx0 libgraphicsmagick++-q16-12 libgraphicsmagick-q16-3 libgraphite2-3 libgssapi-krb5-2 libgssapi3-heimdal libgudev-1.0-0 libharfbuzz0b libhash-fieldhash-perl libhash-merge-perl libhcrypto4-heimdal libhdf5-103-1 libhdf5-cpp-103-1 libhdf5-dev libhdf5-fortran-102 libhdf5-hl-100 libhdf5-hl-cpp-100 libhdf5-hl-fortran-100 libheimbase1-heimdal libheimntlm0-heimdal libhtml-parser-perl libhtml-tagset-perl libhtml-tree-perl libhttp-cookies-perl libhttp-date-perl libhttp-message-perl libhttp-negotiate-perl libhx509-5-heimdal libice6 libicu67 libimport-into-perl libinput-bin libinput10 libio-async-loop-epoll-perl libio-async-perl libio-html-perl libio-socket-ssl-perl libio-string-perl libio-stringy-perl libio-tiecombine-perl libipc-run3-perl libipc-system-simple-perl libiterator-perl libiterator-util-perl libjack-jackd2-0 libjbig0 libjpeg-dev libjpeg-turbo8 libjpeg-turbo8-dev libjpeg8 libjpeg8-dev libjson-maybexs-perl libjson-perl libk5crypto3 libkeyutils1 libkrb5-26-heimdal libkrb5-3 libkrb5support0 liblapack-dev liblapack3 liblcms2-2 libldap-2.4-2 libldap-common liblinux-epoll-perl liblist-compare-perl liblist-moreutils-perl liblist-someutils-perl liblist-utilsby-perl libllvm10 liblog-any-adapter-screen-perl liblog-any-perl liblog-log4perl-perl libltdl7 liblua5.3-0 liblwp-mediatypes-perl liblwp-protocol-https-perl libmagic-mgc libmagic1 libmailtools-perl libmd4c0 libmetis5 libmetrics-any-perl libmime-tools-perl libmodule-implementation-perl libmodule-pluggable-perl libmodule-runtime-perl libmoo-perl libmoox-aliases-perl libmoox-struct-perl libmouse-perl libmousex-nativetraits-perl libmousex-strictconstructor-perl libmro-compat-perl libmtdev1 libnamespace-autoclean-perl libnamespace-clean-perl libncurses-dev libnet-domain-tld-perl libnet-http-perl libnet-smtp-ssl-perl libnet-ssleay-perl libnghttp2-14 libnumber-compare-perl libnumber-range-perl libobject-id-perl liboctave-dev liboctave7 libogg0 libopengl-dev libopengl0 libpackage-stash-perl libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libparams-classify-perl libparams-util-perl libparams-validate-perl libparse-debcontrol-perl libparse-recdescent-perl libpath-iterator-rule-perl libpath-tiny-perl libpcre2-16-0 libperlio-gzip-perl libpipeline1 libpixman-1-0 libpod-constants-perl libpod-pom-perl libportaudio2 libpsl5 libpthread-stubs0-dev libqhull8.0 libqrupdate1 libqscintilla2-qt5-15 libqscintilla2-qt5-l10n libqt5core5a libqt5dbus5 libqt5gui5 libqt5help5 libqt5network5 libqt5printsupport5 libqt5sql5 libqt5widgets5 libqt5xml5 libre-engine-re2-perl libre2-8 libreadline-dev libregexp-common-perl libregexp-pattern-license-perl libregexp-pattern-perl libroken18-heimdal librole-tiny-perl librtmp1 libsamplerate0 libsasl2-2 libsasl2-modules-db libsensors-config libsensors5 libsereal-decoder-perl libsereal-encoder-perl libsigsegv2 libsm6 libsndfile1 libsoftware-license-perl libsoftware-licensemoreutils-perl libsort-key-perl libsort-versions-perl libssh-4 libstrictures-perl libstring-copyright-perl libstring-escape-perl libstring-rewriteprefix-perl libstruct-dumb-perl libsub-exporter-perl libsub-exporter-progressive-perl libsub-identify-perl libsub-install-perl libsub-name-perl libsub-override-perl libsub-quote-perl libsub-uplevel-perl libsuitesparseconfig5 libsz2 libtest-exception-perl libtest-metrics-any-perl libtext-autoformat-perl libtext-glob-perl libtext-levenshtein-damerau-perl libtext-levenshteinxs-perl libtext-reform-perl libtext-template-perl libtext-unidecode-perl libtext-xslate-perl libthai-data libthai0 libtiff5 libtime-duration-perl libtime-moment-perl libtimedate-perl libtool libtry-tiny-perl libtype-tiny-perl libuchardet0 libumfpack5 libunicode-utf8-perl liburi-perl libvariable-magic-perl libvorbis0a libvorbisenc2 libwacom-common libwacom2 libwayland-client0 libwayland-server0 libwebp6 libwebpmux3 libwind0-heimdal libwmf0.2-7 libwww-perl libwww-robotrules-perl libx11-6 libx11-data libx11-dev libx11-xcb1 libxau-dev libxau6 libxcb-dri2-0 libxcb-dri3-0 libxcb-glx0 libxcb-icccm4 libxcb-image0 libxcb-keysyms1 libxcb-present0 libxcb-randr0 libxcb-render-util0 libxcb-render0 libxcb-shape0 libxcb-shm0 libxcb-sync1 libxcb-util1 libxcb-xfixes0 libxcb-xinerama0 libxcb-xinput0 libxcb-xkb1 libxcb1 libxcb1-dev libxcursor1 libxdamage1 libxdmcp-dev libxdmcp6 libxext6 libxfixes3 libxft2 libxinerama1 libxkbcommon-x11-0 libxkbcommon0 libxml-libxml-perl libxml-namespacesupport-perl libxml-sax-base-perl libxml-sax-perl libxml-writer-perl libxml2 libxpm4 libxrender1 libxshmfence1 libxxf86vm1 libyaml-0-2 libyaml-libyaml-perl libyaml-perl libyaml-tiny-perl licensecheck lintian lzip m4 man-db netbase octave octave-common patchutils perl-openssl-defaults po-debconf sbuild-build-depends-octave-stk-dummy shared-mime-info t1utils tex-common texinfo ucf x11-common x11proto-core-dev x11proto-dev xkb-data xorg-sgml-doctools xtrans-dev zlib1g-dev 0 upgraded, 439 newly installed, 0 to remove and 0 not upgraded. Need to get 119 MB of archives. After this operation, 532 MB of additional disk space will be used. Get:1 copy:/<>/resolver-T_iIf9/apt_archive ./ sbuild-build-depends-octave-stk-dummy 0.invalid.0 [876 B] Get:2 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x bsdextrautils s390x 2.36-2ubuntu1 [77.4 kB] Get:3 http://ftpmaster.internal/ubuntu groovy/main s390x libuchardet0 s390x 0.0.7-1 [67.5 kB] Get:4 http://ftpmaster.internal/ubuntu groovy/main s390x groff-base s390x 1.22.4-5 [812 kB] Get:5 http://ftpmaster.internal/ubuntu groovy/main s390x libpipeline1 s390x 1.5.2-2build1 [26.5 kB] Get:6 http://ftpmaster.internal/ubuntu groovy/main s390x man-db s390x 2.9.3-2 [1106 kB] Get:7 http://ftpmaster.internal/ubuntu groovy/main s390x ucf all 3.0043 [56.1 kB] Get:8 http://ftpmaster.internal/ubuntu groovy/universe s390x tex-common all 6.15 [33.0 kB] Get:9 http://ftpmaster.internal/ubuntu groovy/main s390x libmagic-mgc s390x 1:5.38-5 [219 kB] Get:10 http://ftpmaster.internal/ubuntu groovy/main s390x libmagic1 s390x 1:5.38-5 [72.9 kB] Get:11 http://ftpmaster.internal/ubuntu groovy/main s390x file s390x 1:5.38-5 [23.1 kB] Get:12 http://ftpmaster.internal/ubuntu groovy/main s390x libbsd0 s390x 0.10.0-1 [43.7 kB] Get:13 http://ftpmaster.internal/ubuntu groovy/main s390x libdbus-1-3 s390x 1.12.18-1ubuntu1 [171 kB] Get:14 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libelf1 s390x 0.180-1 [48.1 kB] Get:15 http://ftpmaster.internal/ubuntu groovy/main s390x libexpat1 s390x 2.2.9-1build1 [69.8 kB] Get:16 http://ftpmaster.internal/ubuntu groovy/main s390x libfribidi0 s390x 1.0.8-2 [24.6 kB] Get:17 http://ftpmaster.internal/ubuntu groovy/main s390x libglib2.0-0 s390x 2.64.4-1 [1181 kB] Get:18 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libicu67 s390x 67.1-3ubuntu1 [8470 kB] Get:19 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libxml2 s390x 2.9.10+dfsg-5build1 [645 kB] Get:20 http://ftpmaster.internal/ubuntu groovy/main s390x libyaml-0-2 s390x 0.2.2-1 [42.3 kB] Get:21 http://ftpmaster.internal/ubuntu groovy/main s390x netbase all 6.1 [13.1 kB] Get:22 http://ftpmaster.internal/ubuntu groovy/main s390x shared-mime-info s390x 1.15-1 [429 kB] Get:23 http://ftpmaster.internal/ubuntu groovy/main s390x xkb-data all 2.29-2 [349 kB] Get:24 http://ftpmaster.internal/ubuntu groovy/main s390x gettext-base s390x 0.19.8.1-10build1 [49.0 kB] Get:25 http://ftpmaster.internal/ubuntu groovy/main s390x libdrm-common all 2.4.102-1 [5524 B] Get:26 http://ftpmaster.internal/ubuntu groovy/main s390x libdrm2 s390x 2.4.102-1 [30.5 kB] Get:27 http://ftpmaster.internal/ubuntu groovy/main s390x libedit2 s390x 3.1-20191231-1 [82.5 kB] Get:28 http://ftpmaster.internal/ubuntu groovy/main s390x libkrb5support0 s390x 1.17-10 [30.1 kB] Get:29 http://ftpmaster.internal/ubuntu groovy/main s390x libk5crypto3 s390x 1.17-10 [78.2 kB] Get:30 http://ftpmaster.internal/ubuntu groovy/main s390x libkeyutils1 s390x 1.6.1-2ubuntu1 [9796 B] Get:31 http://ftpmaster.internal/ubuntu groovy/main s390x libkrb5-3 s390x 1.17-10 [310 kB] Get:32 http://ftpmaster.internal/ubuntu groovy/main s390x libgssapi-krb5-2 s390x 1.17-10 [111 kB] Get:33 http://ftpmaster.internal/ubuntu groovy/main s390x libpsl5 s390x 0.21.0-1.1 [51.6 kB] Get:34 http://ftpmaster.internal/ubuntu groovy/main s390x libxau6 s390x 1:1.0.9-0ubuntu1 [7212 B] Get:35 http://ftpmaster.internal/ubuntu groovy/main s390x libxdmcp6 s390x 1:1.1.3-0ubuntu1 [10.4 kB] Get:36 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb1 s390x 1.14-2 [42.3 kB] Get:37 http://ftpmaster.internal/ubuntu groovy/main s390x libx11-data all 2:1.6.9-2ubuntu1 [113 kB] Get:38 http://ftpmaster.internal/ubuntu groovy/main s390x libx11-6 s390x 2:1.6.9-2ubuntu1 [550 kB] Get:39 http://ftpmaster.internal/ubuntu groovy/main s390x libxext6 s390x 2:1.3.4-0ubuntu1 [27.0 kB] Get:40 http://ftpmaster.internal/ubuntu groovy/main s390x libsigsegv2 s390x 2.12-2build1 [13.7 kB] Get:41 http://ftpmaster.internal/ubuntu groovy/main s390x m4 s390x 1.4.18-4 [196 kB] Get:42 http://ftpmaster.internal/ubuntu groovy/main s390x autoconf all 2.69-11.1 [321 kB] Get:43 http://ftpmaster.internal/ubuntu groovy/main s390x autotools-dev all 20180224.1 [39.6 kB] Get:44 http://ftpmaster.internal/ubuntu groovy/main s390x automake all 1:1.16.2-3ubuntu1 [548 kB] Get:45 http://ftpmaster.internal/ubuntu groovy/main s390x autopoint all 0.19.8.1-10build1 [412 kB] Get:46 http://ftpmaster.internal/ubuntu groovy/main s390x libcapture-tiny-perl all 0.48-1 [20.4 kB] Get:47 http://ftpmaster.internal/ubuntu groovy/main s390x libparams-util-perl s390x 1.07-3build5 [19.1 kB] Get:48 http://ftpmaster.internal/ubuntu groovy/main s390x libsub-install-perl all 0.928-1 [10.5 kB] Get:49 http://ftpmaster.internal/ubuntu groovy/main s390x libdata-optlist-perl all 0.110-1 [9956 B] Get:50 http://ftpmaster.internal/ubuntu groovy/main s390x libb-hooks-op-check-perl s390x 0.22-1build2 [10.0 kB] Get:51 http://ftpmaster.internal/ubuntu groovy/main s390x libdynaloader-functions-perl all 0.003-1 [11.9 kB] Get:52 http://ftpmaster.internal/ubuntu groovy/main s390x libdevel-callchecker-perl s390x 0.008-1ubuntu1 [14.3 kB] Get:53 http://ftpmaster.internal/ubuntu groovy/main s390x libparams-classify-perl s390x 0.015-1build2 [20.8 kB] Get:54 http://ftpmaster.internal/ubuntu groovy/main s390x libmodule-runtime-perl all 0.016-1 [16.2 kB] Get:55 http://ftpmaster.internal/ubuntu groovy/main s390x libtry-tiny-perl all 0.30-1 [20.5 kB] Get:56 http://ftpmaster.internal/ubuntu groovy/main s390x libmodule-implementation-perl all 0.09-1 [12.2 kB] Get:57 http://ftpmaster.internal/ubuntu groovy/main s390x libpackage-stash-perl all 0.38-1 [19.1 kB] Get:58 http://ftpmaster.internal/ubuntu groovy/universe s390x libclass-load-perl all 0.25-1 [13.5 kB] Get:59 http://ftpmaster.internal/ubuntu groovy/main s390x libio-stringy-perl all 2.111-3 [55.8 kB] Get:60 http://ftpmaster.internal/ubuntu groovy/main s390x libparams-validate-perl s390x 1.29-3 [50.6 kB] Get:61 http://ftpmaster.internal/ubuntu groovy/main s390x libsub-exporter-perl all 0.987-1 [44.9 kB] Get:62 http://ftpmaster.internal/ubuntu groovy/main s390x libgetopt-long-descriptive-perl all 0.105-1 [24.7 kB] Get:63 http://ftpmaster.internal/ubuntu groovy/universe s390x libio-tiecombine-perl all 1.005-1 [12.5 kB] Get:64 http://ftpmaster.internal/ubuntu groovy/universe s390x libmodule-pluggable-perl all 5.2-1 [21.9 kB] Get:65 http://ftpmaster.internal/ubuntu groovy/universe s390x libstring-rewriteprefix-perl all 0.008-1 [6516 B] Get:66 http://ftpmaster.internal/ubuntu groovy/universe s390x libapp-cmd-perl all 0.331-1 [58.6 kB] Get:67 http://ftpmaster.internal/ubuntu groovy/universe s390x libboolean-perl all 0.46-1 [8654 B] Get:68 http://ftpmaster.internal/ubuntu groovy/universe s390x libcarp-assert-perl all 0.21-1 [16.6 kB] Get:69 http://ftpmaster.internal/ubuntu groovy/universe s390x libsub-uplevel-perl all 0.2800-1 [13.5 kB] Get:70 http://ftpmaster.internal/ubuntu groovy/universe s390x libtest-exception-perl all 0.43-1 [14.7 kB] Get:71 http://ftpmaster.internal/ubuntu groovy/universe s390x libcarp-assert-more-perl all 1.20-1 [15.0 kB] Get:72 http://ftpmaster.internal/ubuntu groovy/main s390x libfile-which-perl all 1.23-1 [13.8 kB] Get:73 http://ftpmaster.internal/ubuntu groovy/main s390x libfile-homedir-perl all 1.004-1 [37.3 kB] Get:74 http://ftpmaster.internal/ubuntu groovy/universe s390x libclone-choose-perl all 0.010-1 [7672 B] Get:75 http://ftpmaster.internal/ubuntu groovy/universe s390x libhash-merge-perl all 0.301-1 [13.1 kB] Get:76 http://ftpmaster.internal/ubuntu groovy/main s390x libjson-perl all 4.02000-2 [80.9 kB] Get:77 http://ftpmaster.internal/ubuntu groovy/main s390x libexporter-tiny-perl all 1.002002-1 [36.2 kB] Get:78 http://ftpmaster.internal/ubuntu groovy/main s390x liblist-moreutils-perl s390x 0.416-1build5 [53.4 kB] Get:79 http://ftpmaster.internal/ubuntu groovy/universe s390x liblog-log4perl-perl all 1.50-1 [344 kB] Get:80 http://ftpmaster.internal/ubuntu groovy/main s390x libmouse-perl s390x 2.5.10-1build1 [153 kB] Get:81 http://ftpmaster.internal/ubuntu groovy/universe s390x libmousex-nativetraits-perl all 1.09-2 [66.7 kB] Get:82 http://ftpmaster.internal/ubuntu groovy/universe s390x libmousex-strictconstructor-perl all 0.02-2 [4812 B] Get:83 http://ftpmaster.internal/ubuntu groovy/universe s390x libparse-recdescent-perl all 1.967015+dfsg-2 [145 kB] Get:84 http://ftpmaster.internal/ubuntu groovy/main s390x libpath-tiny-perl all 0.114-1 [42.6 kB] Get:85 http://ftpmaster.internal/ubuntu groovy/universe s390x libpod-pom-perl all 2.01-3 [62.6 kB] Get:86 http://ftpmaster.internal/ubuntu groovy/universe s390x libregexp-common-perl all 2017060201-1 [168 kB] Get:87 http://ftpmaster.internal/ubuntu groovy/universe s390x libconfig-model-perl all 2.140-1 [400 kB] Get:88 http://ftpmaster.internal/ubuntu groovy/main s390x libyaml-perl all 1.30-1 [58.2 kB] Get:89 http://ftpmaster.internal/ubuntu groovy/universe s390x cme all 1.032-1 [76.8 kB] Get:90 http://ftpmaster.internal/ubuntu groovy/main s390x libtool all 2.4.6-14 [161 kB] Get:91 http://ftpmaster.internal/ubuntu groovy/main s390x dh-autoreconf all 19 [16.1 kB] Get:92 http://ftpmaster.internal/ubuntu groovy/main s390x libdebhelper-perl all 13.2ubuntu1 [64.2 kB] Get:93 http://ftpmaster.internal/ubuntu groovy/main s390x libarchive-zip-perl all 1.68-1 [90.2 kB] Get:94 http://ftpmaster.internal/ubuntu groovy/main s390x libsub-override-perl all 0.09-2 [9532 B] Get:95 http://ftpmaster.internal/ubuntu groovy/main s390x libfile-stripnondeterminism-perl all 1.9.0-1 [17.2 kB] Get:96 http://ftpmaster.internal/ubuntu groovy/main s390x dh-strip-nondeterminism all 1.9.0-1 [5192 B] Get:97 http://ftpmaster.internal/ubuntu groovy/main s390x dwz s390x 0.13-5 [146 kB] Get:98 http://ftpmaster.internal/ubuntu groovy/main s390x libcroco3 s390x 0.6.13-1 [73.7 kB] Get:99 http://ftpmaster.internal/ubuntu groovy/main s390x gettext s390x 0.19.8.1-10build1 [867 kB] Get:100 http://ftpmaster.internal/ubuntu groovy/main s390x intltool-debian all 0.35.0+20060710.5 [24.9 kB] Get:101 http://ftpmaster.internal/ubuntu groovy/main s390x po-debconf all 1.0.21 [233 kB] Get:102 http://ftpmaster.internal/ubuntu groovy/main s390x debhelper all 13.2ubuntu1 [878 kB] Get:103 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libblas3 s390x 3.9.0-3 [131 kB] Get:104 http://ftpmaster.internal/ubuntu groovy/main s390x libgfortran5 s390x 10.2.0-3ubuntu1 [415 kB] Get:105 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x liblapack3 s390x 3.9.0-3 [1731 kB] Get:106 http://ftpmaster.internal/ubuntu groovy/universe s390x libarpack2 s390x 3.7.0-3 [77.5 kB] Get:107 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libsuitesparseconfig5 s390x 1:5.8.1+dfsg-2 [9736 B] Get:108 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libamd2 s390x 1:5.8.1+dfsg-2 [21.0 kB] Get:109 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libcamd2 s390x 1:5.8.1+dfsg-2 [22.1 kB] Get:110 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libccolamd2 s390x 1:5.8.1+dfsg-2 [24.3 kB] Get:111 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libcolamd2 s390x 1:5.8.1+dfsg-2 [17.5 kB] Get:112 http://ftpmaster.internal/ubuntu groovy/main s390x libmetis5 s390x 5.1.0.dfsg-7 [160 kB] Get:113 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libcholmod3 s390x 1:5.8.1+dfsg-2 [321 kB] Get:114 http://ftpmaster.internal/ubuntu groovy/main s390x libbrotli1 s390x 1.0.7-7 [260 kB] Get:115 http://ftpmaster.internal/ubuntu groovy/main s390x libroken18-heimdal s390x 7.7.0+dfsg-2 [40.0 kB] Get:116 http://ftpmaster.internal/ubuntu groovy/main s390x libasn1-8-heimdal s390x 7.7.0+dfsg-2 [148 kB] Get:117 http://ftpmaster.internal/ubuntu groovy/main s390x libheimbase1-heimdal s390x 7.7.0+dfsg-2 [27.7 kB] Get:118 http://ftpmaster.internal/ubuntu groovy/main s390x libhcrypto4-heimdal s390x 7.7.0+dfsg-2 [83.1 kB] Get:119 http://ftpmaster.internal/ubuntu groovy/main s390x libwind0-heimdal s390x 7.7.0+dfsg-2 [47.7 kB] Get:120 http://ftpmaster.internal/ubuntu groovy/main s390x libhx509-5-heimdal s390x 7.7.0+dfsg-2 [97.9 kB] Get:121 http://ftpmaster.internal/ubuntu groovy/main s390x libkrb5-26-heimdal s390x 7.7.0+dfsg-2 [191 kB] Get:122 http://ftpmaster.internal/ubuntu groovy/main s390x libheimntlm0-heimdal s390x 7.7.0+dfsg-2 [14.4 kB] Get:123 http://ftpmaster.internal/ubuntu groovy/main s390x libgssapi3-heimdal s390x 7.7.0+dfsg-2 [87.2 kB] Get:124 http://ftpmaster.internal/ubuntu groovy/main s390x libsasl2-modules-db s390x 2.1.27+dfsg-2 [14.6 kB] Get:125 http://ftpmaster.internal/ubuntu groovy/main s390x libsasl2-2 s390x 2.1.27+dfsg-2 [47.7 kB] Get:126 http://ftpmaster.internal/ubuntu groovy/main s390x libldap-common all 2.4.50+dfsg-1ubuntu3 [16.9 kB] Get:127 http://ftpmaster.internal/ubuntu groovy/main s390x libldap-2.4-2 s390x 2.4.50+dfsg-1ubuntu3 [145 kB] Get:128 http://ftpmaster.internal/ubuntu groovy/main s390x libnghttp2-14 s390x 1.41.0-2 [61.2 kB] Get:129 http://ftpmaster.internal/ubuntu groovy/main s390x librtmp1 s390x 2.4+20151223.gitfa8646d.1-2build2 [50.7 kB] Get:130 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libssh-4 s390x 0.9.4-1ubuntu2 [174 kB] Get:131 http://ftpmaster.internal/ubuntu groovy/main s390x libcurl3-gnutls s390x 7.68.0-1ubuntu4 [215 kB] Get:132 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libcxsparse3 s390x 1:5.8.1+dfsg-2 [65.8 kB] Get:133 http://ftpmaster.internal/ubuntu groovy/main s390x libfftw3-double3 s390x 3.3.8-2ubuntu6 [442 kB] Get:134 http://ftpmaster.internal/ubuntu groovy/main s390x libfftw3-single3 s390x 3.3.8-2ubuntu6 [452 kB] Get:135 http://ftpmaster.internal/ubuntu groovy/main s390x libfreetype6 s390x 2.10.2+dfsg-3 [326 kB] Get:136 http://ftpmaster.internal/ubuntu groovy/main s390x fonts-dejavu-core all 2.37-2 [1041 kB] Get:137 http://ftpmaster.internal/ubuntu groovy/main s390x fontconfig-config all 2.13.1-2ubuntu3 [28.8 kB] Get:138 http://ftpmaster.internal/ubuntu groovy/main s390x libfontconfig1 s390x 2.13.1-2ubuntu3 [110 kB] Get:139 http://ftpmaster.internal/ubuntu groovy/main s390x libglvnd0 s390x 1.3.1-1ubuntu1 [77.6 kB] Get:140 http://ftpmaster.internal/ubuntu groovy/main s390x libglapi-mesa s390x 20.1.4-1 [45.8 kB] Get:141 http://ftpmaster.internal/ubuntu groovy/main s390x libx11-xcb1 s390x 2:1.6.9-2ubuntu1 [9088 B] Get:142 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-dri2-0 s390x 1.14-2 [6856 B] Get:143 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-dri3-0 s390x 1.14-2 [6612 B] Get:144 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-glx0 s390x 1.14-2 [22.1 kB] Get:145 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-present0 s390x 1.14-2 [5412 B] Get:146 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-sync1 s390x 1.14-2 [8632 B] Get:147 http://ftpmaster.internal/ubuntu groovy/main s390x libxdamage1 s390x 1:1.1.5-2 [6648 B] Get:148 http://ftpmaster.internal/ubuntu groovy/main s390x libxfixes3 s390x 1:5.0.3-2 [10.4 kB] Get:149 http://ftpmaster.internal/ubuntu groovy/main s390x libxshmfence1 s390x 1.3-1 [5032 B] Get:150 http://ftpmaster.internal/ubuntu groovy/main s390x libxxf86vm1 s390x 1:1.1.4-1build1 [9544 B] Get:151 http://ftpmaster.internal/ubuntu groovy/main s390x libdrm-amdgpu1 s390x 2.4.102-1 [17.6 kB] Get:152 http://ftpmaster.internal/ubuntu groovy/main s390x libdrm-nouveau2 s390x 2.4.102-1 [15.2 kB] Get:153 http://ftpmaster.internal/ubuntu groovy/main s390x libdrm-radeon1 s390x 2.4.102-1 [19.5 kB] Get:154 http://ftpmaster.internal/ubuntu groovy/main s390x libllvm10 s390x 1:10.0.1-1 [17.9 MB] Get:155 http://ftpmaster.internal/ubuntu groovy/main s390x libsensors-config all 1:3.6.0-2ubuntu1 [6092 B] Get:156 http://ftpmaster.internal/ubuntu groovy/main s390x libsensors5 s390x 1:3.6.0-2ubuntu1 [25.6 kB] Get:157 http://ftpmaster.internal/ubuntu groovy/main s390x libgl1-mesa-dri s390x 20.1.4-1 [6596 kB] Get:158 http://ftpmaster.internal/ubuntu groovy/main s390x libglx-mesa0 s390x 20.1.4-1 [153 kB] Get:159 http://ftpmaster.internal/ubuntu groovy/main s390x libglx0 s390x 1.3.1-1ubuntu1 [26.1 kB] Get:160 http://ftpmaster.internal/ubuntu groovy/main s390x libgl1 s390x 1.3.1-1ubuntu1 [123 kB] Get:161 http://ftpmaster.internal/ubuntu groovy/universe s390x libgl2ps1.4 s390x 1.4.2+dfsg1-1 [35.4 kB] Get:162 http://ftpmaster.internal/ubuntu groovy/main s390x libglu1-mesa s390x 9.0.1-1build1 [154 kB] Get:163 http://ftpmaster.internal/ubuntu groovy/main s390x libjbig0 s390x 2.1-3.1build1 [26.3 kB] Get:164 http://ftpmaster.internal/ubuntu groovy/main s390x libjpeg-turbo8 s390x 2.0.3-0ubuntu2 [102 kB] Get:165 http://ftpmaster.internal/ubuntu groovy/main s390x libjpeg8 s390x 8c-2ubuntu8 [2142 B] Get:166 http://ftpmaster.internal/ubuntu groovy/main s390x libwebp6 s390x 0.6.1-2 [149 kB] Get:167 http://ftpmaster.internal/ubuntu groovy/main s390x libtiff5 s390x 4.1.0+git191117-2build1 [151 kB] Get:168 http://ftpmaster.internal/ubuntu groovy/main s390x liblcms2-2 s390x 2.9-4 [126 kB] Get:169 http://ftpmaster.internal/ubuntu groovy/main s390x libwebpmux3 s390x 0.6.1-2 [18.3 kB] Get:170 http://ftpmaster.internal/ubuntu groovy/main s390x libwmf0.2-7 s390x 0.2.8.4-17ubuntu1 [138 kB] Get:171 http://ftpmaster.internal/ubuntu groovy/universe s390x libgraphicsmagick-q16-3 s390x 1.4+really1.3.35+hg16297-1 [1003 kB] Get:172 http://ftpmaster.internal/ubuntu groovy/universe s390x libgraphicsmagick++-q16-12 s390x 1.4+really1.3.35+hg16297-1 [96.4 kB] Get:173 http://ftpmaster.internal/ubuntu groovy/universe s390x libaec0 s390x 1.0.4-1 [19.5 kB] Get:174 http://ftpmaster.internal/ubuntu groovy/universe s390x libsz2 s390x 1.0.4-1 [5056 B] Get:175 http://ftpmaster.internal/ubuntu groovy/universe s390x libhdf5-103-1 s390x 1.10.6+repack-2 [1001 kB] Get:176 http://ftpmaster.internal/ubuntu groovy/universe s390x libqrupdate1 s390x 1.1.2-4 [30.8 kB] Get:177 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libumfpack5 s390x 1:5.8.1+dfsg-2 [211 kB] Get:178 http://ftpmaster.internal/ubuntu groovy/universe s390x liboctave7 s390x 5.2.0-3build1 [6640 kB] Get:179 http://ftpmaster.internal/ubuntu groovy/main s390x libxrender1 s390x 1:0.9.10-1 [17.8 kB] Get:180 http://ftpmaster.internal/ubuntu groovy/main s390x libxcursor1 s390x 1:1.2.0-2 [19.7 kB] Get:181 http://ftpmaster.internal/ubuntu groovy/main s390x libxft2 s390x 2.3.3-0ubuntu1 [36.8 kB] Get:182 http://ftpmaster.internal/ubuntu groovy/main s390x libxinerama1 s390x 2:1.1.4-2 [6728 B] Get:183 http://ftpmaster.internal/ubuntu groovy/universe s390x libfltk1.3 s390x 1.3.5-1 [522 kB] Get:184 http://ftpmaster.internal/ubuntu groovy/universe s390x libfltk-gl1.3 s390x 1.3.5-1 [36.2 kB] Get:185 http://ftpmaster.internal/ubuntu groovy/main s390x libltdl7 s390x 2.4.6-14 [38.2 kB] Get:186 http://ftpmaster.internal/ubuntu groovy/universe s390x libglpk40 s390x 4.65-2 [331 kB] Get:187 http://ftpmaster.internal/ubuntu groovy/main s390x libasound2-data all 1.2.2-2.3ubuntu1 [19.1 kB] Get:188 http://ftpmaster.internal/ubuntu groovy/main s390x libasound2 s390x 1.2.2-2.3ubuntu1 [300 kB] Get:189 http://ftpmaster.internal/ubuntu groovy/main s390x libsamplerate0 s390x 0.1.9-2 [886 kB] Get:190 http://ftpmaster.internal/ubuntu groovy/main s390x libjack-jackd2-0 s390x 1.9.14-0ubuntu2 [231 kB] Get:191 http://ftpmaster.internal/ubuntu groovy/universe s390x libportaudio2 s390x 19.6.0-1build1 [59.5 kB] Get:192 http://ftpmaster.internal/ubuntu groovy/universe s390x libqhull8.0 s390x 2020.1-2 [161 kB] Get:193 http://ftpmaster.internal/ubuntu groovy/universe s390x libqscintilla2-qt5-l10n all 2.11.2+dfsg-6 [41.3 kB] Get:194 http://ftpmaster.internal/ubuntu groovy-proposed/universe s390x libdouble-conversion3 s390x 3.1.5-5build1 [35.4 kB] Get:195 http://ftpmaster.internal/ubuntu groovy/main s390x libpcre2-16-0 s390x 10.34-7 [103 kB] Get:196 http://ftpmaster.internal/ubuntu groovy-proposed/universe s390x libqt5core5a s390x 5.14.2+dfsg-5 [1827 kB] Get:197 http://ftpmaster.internal/ubuntu groovy/main s390x fontconfig s390x 2.13.1-2ubuntu3 [171 kB] Get:198 http://ftpmaster.internal/ubuntu groovy/main s390x libwayland-server0 s390x 1.18.0-1 [29.8 kB] Get:199 http://ftpmaster.internal/ubuntu groovy/main s390x libgbm1 s390x 20.1.4-1 [33.2 kB] Get:200 http://ftpmaster.internal/ubuntu groovy/main s390x libwayland-client0 s390x 1.18.0-1 [22.7 kB] Get:201 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-xfixes0 s390x 1.14-2 [9132 B] Get:202 http://ftpmaster.internal/ubuntu groovy/main s390x libegl-mesa0 s390x 20.1.4-1 [106 kB] Get:203 http://ftpmaster.internal/ubuntu groovy/main s390x libegl1 s390x 1.3.1-1ubuntu1 [30.3 kB] Get:204 http://ftpmaster.internal/ubuntu groovy/main s390x libgraphite2-3 s390x 1.3.14-1 [67.9 kB] Get:205 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libharfbuzz0b s390x 2.6.4-1ubuntu5 [327 kB] Get:206 http://ftpmaster.internal/ubuntu groovy/main s390x x11-common all 1:7.7+19ubuntu14 [22.3 kB] Get:207 http://ftpmaster.internal/ubuntu groovy/main s390x libice6 s390x 2:1.0.10-0ubuntu1 [36.8 kB] Get:208 http://ftpmaster.internal/ubuntu groovy/main s390x libevdev2 s390x 1.9.1+dfsg-1 [30.2 kB] Get:209 http://ftpmaster.internal/ubuntu groovy/main s390x libmtdev1 s390x 1.1.6-1 [13.8 kB] Get:210 http://ftpmaster.internal/ubuntu groovy/main s390x libgudev-1.0-0 s390x 1:233-1 [13.1 kB] Get:211 http://ftpmaster.internal/ubuntu groovy/main s390x libwacom-common all 1.3-2ubuntu1 [44.3 kB] Get:212 http://ftpmaster.internal/ubuntu groovy/main s390x libwacom2 s390x 1.3-2ubuntu1 [18.5 kB] Get:213 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libinput-bin s390x 1.16.0-1 [18.9 kB] Get:214 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libinput10 s390x 1.16.0-1 [108 kB] Get:215 http://ftpmaster.internal/ubuntu groovy/universe s390x libmd4c0 s390x 0.4.4-1 [39.8 kB] Get:216 http://ftpmaster.internal/ubuntu groovy-proposed/universe s390x libqt5dbus5 s390x 5.14.2+dfsg-5 [204 kB] Get:217 http://ftpmaster.internal/ubuntu groovy-proposed/universe s390x libqt5network5 s390x 5.14.2+dfsg-5 [678 kB] Get:218 http://ftpmaster.internal/ubuntu groovy/main s390x libsm6 s390x 2:1.2.3-1 [15.2 kB] Get:219 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-icccm4 s390x 0.4.1-1.1 [10.7 kB] Get:220 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-shm0 s390x 1.14-2 [5416 B] Get:221 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-util1 s390x 0.4.0-0ubuntu3 [11.2 kB] Get:222 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-image0 s390x 0.4.0-1build1 [12.3 kB] Get:223 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-keysyms1 s390x 0.4.0-1build1 [8400 B] Get:224 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-randr0 s390x 1.14-2 [16.5 kB] Get:225 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-render0 s390x 1.14-2 [14.7 kB] Get:226 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-render-util0 s390x 0.3.9-1build1 [9560 B] Get:227 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-shape0 s390x 1.14-2 [5796 B] Get:228 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-xinerama0 s390x 1.14-2 [5152 B] Get:229 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-xinput0 s390x 1.14-2 [28.8 kB] Get:230 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb-xkb1 s390x 1.14-2 [27.8 kB] Get:231 http://ftpmaster.internal/ubuntu groovy/main s390x libxkbcommon0 s390x 0.10.0-1 [91.0 kB] Get:232 http://ftpmaster.internal/ubuntu groovy/main s390x libxkbcommon-x11-0 s390x 0.10.0-1 [13.2 kB] Get:233 http://ftpmaster.internal/ubuntu groovy-proposed/universe s390x libqt5gui5 s390x 5.14.2+dfsg-5 [3269 kB] Get:234 http://ftpmaster.internal/ubuntu groovy/main s390x libavahi-common-data s390x 0.8-3ubuntu1 [25.1 kB] Get:235 http://ftpmaster.internal/ubuntu groovy/main s390x libavahi-common3 s390x 0.8-3ubuntu1 [20.3 kB] Get:236 http://ftpmaster.internal/ubuntu groovy/main s390x libavahi-client3 s390x 0.8-3ubuntu1 [22.8 kB] Get:237 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libcups2 s390x 2.3.3-2 [231 kB] Get:238 http://ftpmaster.internal/ubuntu groovy-proposed/universe s390x libqt5widgets5 s390x 5.14.2+dfsg-5 [2412 kB] Get:239 http://ftpmaster.internal/ubuntu groovy-proposed/universe s390x libqt5printsupport5 s390x 5.14.2+dfsg-5 [191 kB] Get:240 http://ftpmaster.internal/ubuntu groovy/universe s390x libqscintilla2-qt5-15 s390x 2.11.2+dfsg-6 [1205 kB] Get:241 http://ftpmaster.internal/ubuntu groovy-proposed/universe s390x libqt5sql5 s390x 5.14.2+dfsg-5 [118 kB] Get:242 http://ftpmaster.internal/ubuntu groovy/universe s390x libqt5help5 s390x 5.14.2-2 [130 kB] Get:243 http://ftpmaster.internal/ubuntu groovy-proposed/universe s390x libqt5xml5 s390x 5.14.2+dfsg-5 [104 kB] Get:244 http://ftpmaster.internal/ubuntu groovy/main s390x libogg0 s390x 1.3.4-0ubuntu1 [23.1 kB] Get:245 http://ftpmaster.internal/ubuntu groovy/main s390x libflac8 s390x 1.3.3-1build1 [88.5 kB] Get:246 http://ftpmaster.internal/ubuntu groovy/main s390x libvorbis0a s390x 1.3.6-2ubuntu2 [85.6 kB] Get:247 http://ftpmaster.internal/ubuntu groovy/main s390x libvorbisenc2 s390x 1.3.6-2ubuntu2 [70.5 kB] Get:248 http://ftpmaster.internal/ubuntu groovy/main s390x libsndfile1 s390x 1.0.28-8 [161 kB] Get:249 http://ftpmaster.internal/ubuntu groovy/universe s390x libtext-unidecode-perl all 1.30-1 [99.0 kB] Get:250 http://ftpmaster.internal/ubuntu groovy/main s390x libxml-namespacesupport-perl all 1.12-1 [13.2 kB] Get:251 http://ftpmaster.internal/ubuntu groovy/main s390x libxml-sax-base-perl all 1.09-1 [18.8 kB] Get:252 http://ftpmaster.internal/ubuntu groovy/main s390x libxml-sax-perl all 1.02+dfsg-1 [56.2 kB] Get:253 http://ftpmaster.internal/ubuntu groovy/main s390x libxml-libxml-perl s390x 2.0134+dfsg-2 [304 kB] Get:254 http://ftpmaster.internal/ubuntu groovy/universe s390x texinfo s390x 6.7.0.dfsg.2-5 [1367 kB] Get:255 http://ftpmaster.internal/ubuntu groovy/universe s390x octave-common all 5.2.0-3build1 [5131 kB] Get:256 http://ftpmaster.internal/ubuntu groovy/universe s390x octave s390x 5.2.0-3build1 [1826 kB] Get:257 http://ftpmaster.internal/ubuntu groovy/main s390x libncurses-dev s390x 6.2-1 [318 kB] Get:258 http://ftpmaster.internal/ubuntu groovy/main s390x libreadline-dev s390x 8.0-4 [141 kB] Get:259 http://ftpmaster.internal/ubuntu groovy/universe s390x libhdf5-fortran-102 s390x 1.10.6+repack-2 [73.9 kB] Get:260 http://ftpmaster.internal/ubuntu groovy/universe s390x libhdf5-hl-100 s390x 1.10.6+repack-2 [49.7 kB] Get:261 http://ftpmaster.internal/ubuntu groovy/universe s390x libhdf5-hl-fortran-100 s390x 1.10.6+repack-2 [26.6 kB] Get:262 http://ftpmaster.internal/ubuntu groovy/universe s390x libhdf5-cpp-103-1 s390x 1.10.6+repack-2 [104 kB] Get:263 http://ftpmaster.internal/ubuntu groovy/universe s390x libhdf5-hl-cpp-100 s390x 1.10.6+repack-2 [9892 B] Get:264 http://ftpmaster.internal/ubuntu groovy/main s390x zlib1g-dev s390x 1:1.2.11.dfsg-2ubuntu1 [166 kB] Get:265 http://ftpmaster.internal/ubuntu groovy/main s390x libjpeg-turbo8-dev s390x 2.0.3-0ubuntu2 [214 kB] Get:266 http://ftpmaster.internal/ubuntu groovy/main s390x libjpeg8-dev s390x 8c-2ubuntu8 [1612 B] Get:267 http://ftpmaster.internal/ubuntu groovy/main s390x libjpeg-dev s390x 8c-2ubuntu8 [1612 B] Get:268 http://ftpmaster.internal/ubuntu groovy/universe s390x libaec-dev s390x 1.0.4-1 [17.5 kB] Get:269 http://ftpmaster.internal/ubuntu groovy/universe s390x hdf5-helpers s390x 1.10.6+repack-2 [13.7 kB] Get:270 http://ftpmaster.internal/ubuntu groovy/universe s390x libhdf5-dev s390x 1.10.6+repack-2 [2264 kB] Get:271 http://ftpmaster.internal/ubuntu groovy/main s390x xorg-sgml-doctools all 1:1.11-1 [12.9 kB] Get:272 http://ftpmaster.internal/ubuntu groovy/main s390x x11proto-dev all 2019.2-1ubuntu1 [594 kB] Get:273 http://ftpmaster.internal/ubuntu groovy/main s390x x11proto-core-dev all 2019.2-1ubuntu1 [2620 B] Get:274 http://ftpmaster.internal/ubuntu groovy/main s390x libxau-dev s390x 1:1.0.9-0ubuntu1 [9328 B] Get:275 http://ftpmaster.internal/ubuntu groovy/main s390x libxdmcp-dev s390x 1:1.1.3-0ubuntu1 [25.3 kB] Get:276 http://ftpmaster.internal/ubuntu groovy/main s390x xtrans-dev all 1.4.0-1 [68.9 kB] Get:277 http://ftpmaster.internal/ubuntu groovy/main s390x libpthread-stubs0-dev s390x 0.4-1 [5384 B] Get:278 http://ftpmaster.internal/ubuntu groovy/main s390x libxcb1-dev s390x 1.14-2 [78.3 kB] Get:279 http://ftpmaster.internal/ubuntu groovy/main s390x libx11-dev s390x 2:1.6.9-2ubuntu1 [619 kB] Get:280 http://ftpmaster.internal/ubuntu groovy/main s390x libglx-dev s390x 1.3.1-1ubuntu1 [14.0 kB] Get:281 http://ftpmaster.internal/ubuntu groovy/main s390x libgl-dev s390x 1.3.1-1ubuntu1 [97.9 kB] Get:282 http://ftpmaster.internal/ubuntu groovy/main s390x libegl-dev s390x 1.3.1-1ubuntu1 [16.9 kB] Get:283 http://ftpmaster.internal/ubuntu groovy/main s390x libgles1 s390x 1.3.1-1ubuntu1 [12.0 kB] Get:284 http://ftpmaster.internal/ubuntu groovy/main s390x libgles2 s390x 1.3.1-1ubuntu1 [20.4 kB] Get:285 http://ftpmaster.internal/ubuntu groovy/main s390x libgles-dev s390x 1.3.1-1ubuntu1 [48.0 kB] Get:286 http://ftpmaster.internal/ubuntu groovy/main s390x libopengl0 s390x 1.3.1-1ubuntu1 [42.4 kB] Get:287 http://ftpmaster.internal/ubuntu groovy/main s390x libopengl-dev s390x 1.3.1-1ubuntu1 [3576 B] Get:288 http://ftpmaster.internal/ubuntu groovy/main s390x libglvnd-dev s390x 1.3.1-1ubuntu1 [11.6 kB] Get:289 http://ftpmaster.internal/ubuntu groovy/main s390x libgl1-mesa-dev s390x 20.1.4-1 [6324 B] Get:290 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libblas-dev s390x 3.9.0-3 [135 kB] Get:291 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x liblapack-dev s390x 3.9.0-3 [3374 kB] Get:292 http://ftpmaster.internal/ubuntu groovy/main s390x libfftw3-long3 s390x 3.3.8-2ubuntu6 [571 kB] Get:293 http://ftpmaster.internal/ubuntu groovy/main s390x libfftw3-bin s390x 3.3.8-2ubuntu6 [27.7 kB] Get:294 http://ftpmaster.internal/ubuntu groovy/main s390x libfftw3-dev s390x 3.3.8-2ubuntu6 [1341 kB] Get:295 http://ftpmaster.internal/ubuntu groovy/main s390x libgfortran-10-dev s390x 10.2.0-3ubuntu1 [470 kB] Get:296 http://ftpmaster.internal/ubuntu groovy/main s390x gfortran-10 s390x 10.2.0-3ubuntu1 [7762 kB] Get:297 http://ftpmaster.internal/ubuntu groovy/main s390x gfortran s390x 4:10.1.0-1ubuntu1 [1372 B] Get:298 http://ftpmaster.internal/ubuntu groovy/universe s390x liboctave-dev s390x 5.2.0-3build1 [465 kB] Get:299 http://ftpmaster.internal/ubuntu groovy/main s390x libapt-pkg-perl s390x 0.1.36build3 [65.4 kB] Get:300 http://ftpmaster.internal/ubuntu groovy/main s390x libarray-intspan-perl all 2.004-1 [24.5 kB] Get:301 http://ftpmaster.internal/ubuntu groovy/main s390x libyaml-libyaml-perl s390x 0.82+repack-1 [27.1 kB] Get:302 http://ftpmaster.internal/ubuntu groovy/universe s390x libconfig-model-backend-yaml-perl all 2.133-2 [10.6 kB] Get:303 http://ftpmaster.internal/ubuntu groovy/universe s390x libexporter-lite-perl all 0.08-1 [9916 B] Get:304 http://ftpmaster.internal/ubuntu groovy/universe s390x libalgorithm-c3-perl all 0.10-1 [11.3 kB] Get:305 http://ftpmaster.internal/ubuntu groovy/universe s390x libclass-c3-perl all 0.34-1 [18.9 kB] Get:306 http://ftpmaster.internal/ubuntu groovy/universe s390x libmro-compat-perl all 0.13-1 [11.2 kB] Get:307 http://ftpmaster.internal/ubuntu groovy/universe s390x libdata-section-perl all 0.200007-1 [11.8 kB] Get:308 http://ftpmaster.internal/ubuntu groovy/universe s390x libtext-template-perl all 1.59-1 [48.5 kB] Get:309 http://ftpmaster.internal/ubuntu groovy/universe s390x libsoftware-license-perl all 0.103014-2 [108 kB] Get:310 http://ftpmaster.internal/ubuntu groovy/main s390x libyaml-tiny-perl all 1.73-1 [25.2 kB] Get:311 http://ftpmaster.internal/ubuntu groovy/universe s390x libsoftware-licensemoreutils-perl all 1.004-1 [19.7 kB] Get:312 http://ftpmaster.internal/ubuntu groovy/main s390x libsort-versions-perl all 1.62-1 [9294 B] Get:313 http://ftpmaster.internal/ubuntu groovy/universe s390x libtext-reform-perl all 1.20-3 [36.1 kB] Get:314 http://ftpmaster.internal/ubuntu groovy/universe s390x libtext-autoformat-perl all 1.750000-1 [30.2 kB] Get:315 http://ftpmaster.internal/ubuntu groovy/universe s390x libtext-levenshtein-damerau-perl all 0.41-1 [11.7 kB] Get:316 http://ftpmaster.internal/ubuntu groovy/main s390x liburi-perl all 1.76-2 [77.5 kB] Get:317 http://ftpmaster.internal/ubuntu groovy/main s390x libencode-locale-perl all 1.05-1 [12.3 kB] Get:318 http://ftpmaster.internal/ubuntu groovy/main s390x libtimedate-perl all 2.3300-1 [33.9 kB] Get:319 http://ftpmaster.internal/ubuntu groovy/main s390x libhttp-date-perl all 6.05-1 [9920 B] Get:320 http://ftpmaster.internal/ubuntu groovy/main s390x libfile-listing-perl all 6.04-1 [9774 B] Get:321 http://ftpmaster.internal/ubuntu groovy/main s390x libhtml-tagset-perl all 3.20-4 [12.5 kB] Get:322 http://ftpmaster.internal/ubuntu groovy/main s390x libhtml-parser-perl s390x 3.72-5 [85.5 kB] Get:323 http://ftpmaster.internal/ubuntu groovy/main s390x libhtml-tree-perl all 5.07-2 [200 kB] Get:324 http://ftpmaster.internal/ubuntu groovy/main s390x libio-html-perl all 1.001-1 [14.9 kB] Get:325 http://ftpmaster.internal/ubuntu groovy/main s390x liblwp-mediatypes-perl all 6.04-1 [19.5 kB] Get:326 http://ftpmaster.internal/ubuntu groovy/main s390x libhttp-message-perl all 6.25-1 [75.9 kB] Get:327 http://ftpmaster.internal/ubuntu groovy/main s390x libhttp-cookies-perl all 6.08-1 [18.3 kB] Get:328 http://ftpmaster.internal/ubuntu groovy/main s390x libhttp-negotiate-perl all 6.01-1 [12.5 kB] Get:329 http://ftpmaster.internal/ubuntu groovy/main s390x perl-openssl-defaults s390x 5 [7400 B] Get:330 http://ftpmaster.internal/ubuntu groovy/main s390x libnet-ssleay-perl s390x 1.88-2ubuntu1 [275 kB] Get:331 http://ftpmaster.internal/ubuntu groovy/main s390x libio-socket-ssl-perl all 2.067-1 [176 kB] Get:332 http://ftpmaster.internal/ubuntu groovy/main s390x libnet-http-perl all 6.19-1 [22.8 kB] Get:333 http://ftpmaster.internal/ubuntu groovy/main s390x liblwp-protocol-https-perl all 6.09-1 [10.9 kB] Get:334 http://ftpmaster.internal/ubuntu groovy/main s390x libwww-robotrules-perl all 6.02-1 [12.6 kB] Get:335 http://ftpmaster.internal/ubuntu groovy/main s390x libwww-perl all 6.46-1 [140 kB] Get:336 http://ftpmaster.internal/ubuntu groovy/main s390x liblist-someutils-perl all 0.58-1 [29.7 kB] Get:337 http://ftpmaster.internal/ubuntu groovy/main s390x liblog-any-perl all 1.708-1 [67.8 kB] Get:338 http://ftpmaster.internal/ubuntu groovy/main s390x liblog-any-adapter-screen-perl all 0.140-1 [12.1 kB] Get:339 http://ftpmaster.internal/ubuntu groovy/main s390x libclass-method-modifiers-perl all 2.13-1 [16.2 kB] Get:340 http://ftpmaster.internal/ubuntu groovy/main s390x libimport-into-perl all 1.002005-1 [11.0 kB] Get:341 http://ftpmaster.internal/ubuntu groovy/main s390x librole-tiny-perl all 2.001004-1 [16.5 kB] Get:342 http://ftpmaster.internal/ubuntu groovy/main s390x libstrictures-perl all 2.000006-1 [16.3 kB] Get:343 http://ftpmaster.internal/ubuntu groovy/main s390x libsub-quote-perl all 2.006006-1 [19.5 kB] Get:344 http://ftpmaster.internal/ubuntu groovy/main s390x libmoo-perl all 2.004000-1 [46.9 kB] Get:345 http://ftpmaster.internal/ubuntu groovy/main s390x libsub-exporter-progressive-perl all 0.001013-1 [6784 B] Get:346 http://ftpmaster.internal/ubuntu groovy/main s390x libvariable-magic-perl s390x 0.62-1build2 [33.2 kB] Get:347 http://ftpmaster.internal/ubuntu groovy/main s390x libb-hooks-endofscope-perl all 0.24-1 [16.8 kB] Get:348 http://ftpmaster.internal/ubuntu groovy/main s390x libsub-identify-perl s390x 0.14-1build2 [10.3 kB] Get:349 http://ftpmaster.internal/ubuntu groovy/main s390x libsub-name-perl s390x 0.26-1 [11.3 kB] Get:350 http://ftpmaster.internal/ubuntu groovy/main s390x libnamespace-clean-perl all 0.27-1 [13.6 kB] Get:351 http://ftpmaster.internal/ubuntu groovy/main s390x libnamespace-autoclean-perl all 0.29-1 [12.5 kB] Get:352 http://ftpmaster.internal/ubuntu groovy/main s390x libhash-fieldhash-perl s390x 0.15-1build2 [16.5 kB] Get:353 http://ftpmaster.internal/ubuntu groovy/main s390x libobject-id-perl all 0.1.2-2ubuntu1 [15.9 kB] Get:354 http://ftpmaster.internal/ubuntu groovy/main s390x libtype-tiny-perl all 1.010002-1 [309 kB] Get:355 http://ftpmaster.internal/ubuntu groovy/main s390x libmoox-struct-perl all 0.020-1 [23.7 kB] Get:356 http://ftpmaster.internal/ubuntu groovy/main s390x libnumber-compare-perl all 0.03-1 [7318 B] Get:357 http://ftpmaster.internal/ubuntu groovy/main s390x libtext-glob-perl all 0.11-1 [7992 B] Get:358 http://ftpmaster.internal/ubuntu groovy/main s390x libpath-iterator-rule-perl all 1.014-1 [49.5 kB] Get:359 http://ftpmaster.internal/ubuntu groovy/main s390x libpod-constants-perl all 0.19-2 [16.3 kB] Get:360 http://ftpmaster.internal/ubuntu groovy/main s390x libre2-8 s390x 20200801+dfsg-1 [167 kB] Get:361 http://ftpmaster.internal/ubuntu groovy/main s390x libre-engine-re2-perl s390x 0.13-5build3 [16.0 kB] Get:362 http://ftpmaster.internal/ubuntu groovy/main s390x libregexp-pattern-license-perl all 3.4.0-1 [49.4 kB] Get:363 http://ftpmaster.internal/ubuntu groovy/main s390x libregexp-pattern-perl all 0.2.14-1 [17.6 kB] Get:364 http://ftpmaster.internal/ubuntu groovy/main s390x libsort-key-perl s390x 1.33-2build2 [34.8 kB] Get:365 http://ftpmaster.internal/ubuntu groovy/main s390x libnumber-range-perl all 0.12-1 [8556 B] Get:366 http://ftpmaster.internal/ubuntu groovy/main s390x libstring-copyright-perl all 0.003006-1 [9608 B] Get:367 http://ftpmaster.internal/ubuntu groovy/main s390x libstring-escape-perl all 2010.002-2 [17.6 kB] Get:368 http://ftpmaster.internal/ubuntu groovy/main s390x licensecheck all 3.0.47-1 [37.0 kB] Get:369 http://ftpmaster.internal/ubuntu groovy/main s390x diffstat s390x 1.63-1 [26.5 kB] Get:370 http://ftpmaster.internal/ubuntu groovy/main s390x libclass-xsaccessor-perl s390x 1.19-3build5 [33.3 kB] Get:371 http://ftpmaster.internal/ubuntu groovy/main s390x libclone-perl s390x 0.45-1 [10.4 kB] Get:372 http://ftpmaster.internal/ubuntu groovy/main s390x libconfig-tiny-perl all 2.24-1 [12.4 kB] Get:373 http://ftpmaster.internal/ubuntu groovy/main s390x libcpanel-json-xs-perl s390x 4.19-1build1 [107 kB] Get:374 http://ftpmaster.internal/ubuntu groovy/main s390x libaliased-perl all 0.34-1 [13.2 kB] Get:375 http://ftpmaster.internal/ubuntu groovy/main s390x libclass-data-inheritable-perl all 0.08-3 [8084 B] Get:376 http://ftpmaster.internal/ubuntu groovy/main s390x libdevel-stacktrace-perl all 2.0400-1 [22.7 kB] Get:377 http://ftpmaster.internal/ubuntu groovy/main s390x libexception-class-perl all 1.44-1 [25.9 kB] Get:378 http://ftpmaster.internal/ubuntu groovy/main s390x libiterator-perl all 0.03+ds1-1 [18.7 kB] Get:379 http://ftpmaster.internal/ubuntu groovy/main s390x libiterator-util-perl all 0.02+ds1-1 [14.0 kB] Get:380 http://ftpmaster.internal/ubuntu groovy/main s390x libdata-dpath-perl all 0.58-1 [38.8 kB] Get:381 http://ftpmaster.internal/ubuntu groovy/main s390x libnet-domain-tld-perl all 1.75-1 [29.1 kB] Get:382 http://ftpmaster.internal/ubuntu groovy/main s390x libdata-validate-domain-perl all 0.10-1 [11.0 kB] Get:383 http://ftpmaster.internal/ubuntu groovy/main s390x libdevel-size-perl s390x 0.83-1build1 [19.7 kB] Get:384 http://ftpmaster.internal/ubuntu groovy/main s390x libemail-address-xs-perl s390x 1.04-1build3 [25.9 kB] Get:385 http://ftpmaster.internal/ubuntu groovy/main s390x libipc-system-simple-perl all 1.30-1 [23.2 kB] Get:386 http://ftpmaster.internal/ubuntu groovy/main s390x libfile-basedir-perl all 0.08-1 [16.9 kB] Get:387 http://ftpmaster.internal/ubuntu groovy/main s390x libfile-find-rule-perl all 0.34-1 [28.3 kB] Get:388 http://ftpmaster.internal/ubuntu groovy/main s390x libio-string-perl all 1.08-3 [11.1 kB] Get:389 http://ftpmaster.internal/ubuntu groovy/main s390x libfont-ttf-perl all 1.06-1 [313 kB] Get:390 http://ftpmaster.internal/ubuntu groovy/main s390x libfuture-perl all 0.45-1 [78.5 kB] Get:391 http://ftpmaster.internal/ubuntu groovy/main s390x libstruct-dumb-perl all 0.12-1 [12.0 kB] Get:392 http://ftpmaster.internal/ubuntu groovy/main s390x libmetrics-any-perl all 0.06-1 [40.8 kB] Get:393 http://ftpmaster.internal/ubuntu groovy/main s390x libtest-metrics-any-perl all 0.01-2 [6944 B] Get:394 http://ftpmaster.internal/ubuntu groovy/main s390x libio-async-perl all 0.77-3 [257 kB] Get:395 http://ftpmaster.internal/ubuntu groovy/main s390x liblinux-epoll-perl s390x 0.017-1 [15.6 kB] Get:396 http://ftpmaster.internal/ubuntu groovy/main s390x libio-async-loop-epoll-perl all 0.21-1 [10.4 kB] Get:397 http://ftpmaster.internal/ubuntu groovy/universe s390x libipc-run3-perl all 0.048-2 [31.4 kB] Get:398 http://ftpmaster.internal/ubuntu groovy/main s390x libjson-maybexs-perl all 1.004002-1 [11.3 kB] Get:399 http://ftpmaster.internal/ubuntu groovy/main s390x liblist-compare-perl all 0.53-1 [65.6 kB] Get:400 http://ftpmaster.internal/ubuntu groovy/main s390x liblist-utilsby-perl all 0.11-1 [14.7 kB] Get:401 http://ftpmaster.internal/ubuntu groovy/main s390x libmoox-aliases-perl all 0.001006-1 [7176 B] Get:402 http://ftpmaster.internal/ubuntu groovy/main s390x libperlio-gzip-perl s390x 0.19-1build5 [14.0 kB] Get:403 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libsereal-decoder-perl s390x 4.017+ds-1 [98.8 kB] Get:404 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libsereal-encoder-perl s390x 4.017+ds-1 [98.1 kB] Get:405 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libtext-levenshteinxs-perl s390x 0.03-4build7 [8532 B] Get:406 http://ftpmaster.internal/ubuntu groovy/main s390x libdata-messagepack-perl s390x 1.00-2ubuntu1 [36.9 kB] Get:407 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libtext-xslate-perl s390x 3.5.8-1build1 [180 kB] Get:408 http://ftpmaster.internal/ubuntu groovy/main s390x libtime-duration-perl all 1.21-1 [13.1 kB] Get:409 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x libtime-moment-perl s390x 0.44-1build3 [69.9 kB] Get:410 http://ftpmaster.internal/ubuntu groovy/main s390x libunicode-utf8-perl s390x 0.62-1build1 [17.8 kB] Get:411 http://ftpmaster.internal/ubuntu groovy/main s390x libxml-writer-perl all 0.625-1 [24.9 kB] Get:412 http://ftpmaster.internal/ubuntu groovy/universe s390x lzip s390x 1.21-7 [74.9 kB] Get:413 http://ftpmaster.internal/ubuntu groovy/main s390x patchutils s390x 0.4.2-1 [72.6 kB] Get:414 http://ftpmaster.internal/ubuntu groovy/main s390x t1utils s390x 1.41-4 [53.9 kB] Get:415 http://ftpmaster.internal/ubuntu groovy-proposed/main s390x lintian all 2.86.0 [993 kB] Get:416 http://ftpmaster.internal/ubuntu groovy/universe s390x libconfig-model-dpkg-perl all 2.138 [194 kB] Get:417 http://ftpmaster.internal/ubuntu groovy/main s390x liberror-perl all 0.17029-1 [26.5 kB] Get:418 http://ftpmaster.internal/ubuntu groovy/universe s390x libparse-debcontrol-perl all 2.005-4 [24.2 kB] Get:419 http://ftpmaster.internal/ubuntu groovy/main s390x libconvert-binhex-perl all 1.125-1 [29.7 kB] Get:420 http://ftpmaster.internal/ubuntu groovy/main s390x libnet-smtp-ssl-perl all 1.04-1 [5948 B] Get:421 http://ftpmaster.internal/ubuntu groovy/main s390x libmailtools-perl all 2.21-1 [80.7 kB] Get:422 http://ftpmaster.internal/ubuntu groovy/main s390x libmime-tools-perl all 5.509-1 [192 kB] Get:423 http://ftpmaster.internal/ubuntu groovy/universe s390x aglfn all 1.7+git20191031.4036a9c-2 [30.6 kB] Get:424 http://ftpmaster.internal/ubuntu groovy/universe s390x gnuplot-data all 5.2.8+dfsg1-2 [56.5 kB] Get:425 http://ftpmaster.internal/ubuntu groovy/main s390x libpixman-1-0 s390x 0.38.4-0ubuntu1 [136 kB] Get:426 http://ftpmaster.internal/ubuntu groovy/main s390x libcairo2 s390x 1.16.0-4ubuntu1 [535 kB] Get:427 http://ftpmaster.internal/ubuntu groovy/main s390x libxpm4 s390x 1:3.5.12-1 [32.6 kB] Get:428 http://ftpmaster.internal/ubuntu groovy/main s390x libgd3 s390x 2.3.0-2 [114 kB] Get:429 http://ftpmaster.internal/ubuntu groovy/main s390x liblua5.3-0 s390x 5.3.3-1.1ubuntu2 [107 kB] Get:430 http://ftpmaster.internal/ubuntu groovy/main s390x libthai-data all 0.1.28-3 [134 kB] Get:431 http://ftpmaster.internal/ubuntu groovy/main s390x libdatrie1 s390x 0.2.12-3 [18.1 kB] Get:432 http://ftpmaster.internal/ubuntu groovy/main s390x libthai0 s390x 0.1.28-3 [18.1 kB] Get:433 http://ftpmaster.internal/ubuntu groovy/main s390x libpango-1.0-0 s390x 1.44.7-2ubuntu4 [156 kB] Get:434 http://ftpmaster.internal/ubuntu groovy/main s390x libpangoft2-1.0-0 s390x 1.44.7-2ubuntu4 [32.4 kB] Get:435 http://ftpmaster.internal/ubuntu groovy/main s390x libpangocairo-1.0-0 s390x 1.44.7-2ubuntu4 [22.5 kB] Get:436 http://ftpmaster.internal/ubuntu groovy/universe s390x gnuplot-nox s390x 5.2.8+dfsg1-2 [738 kB] Get:437 http://ftpmaster.internal/ubuntu groovy/universe s390x fonts-freefont-otf all 20120503-10 [3056 kB] Get:438 http://ftpmaster.internal/ubuntu groovy/universe s390x dh-octave-autopkgtest all 0.7.6 [8016 B] Get:439 http://ftpmaster.internal/ubuntu groovy/universe s390x dh-octave all 0.7.6 [19.2 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 119 MB in 5s (24.4 MB/s) Selecting previously unselected package bsdextrautils. 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Setting up libnumber-range-perl (0.12-1) ... Setting up libunicode-utf8-perl (0.62-1build1) ... Setting up libfftw3-single3:s390x (3.3.8-2ubuntu6) ... Setting up libstruct-dumb-perl (0.12-1) ... Setting up libogg0:s390x (1.3.4-0ubuntu1) ... Setting up libmouse-perl (2.5.10-1build1) ... Setting up libpod-pom-perl (2.01-3) ... Setting up bsdextrautils (2.36-2ubuntu1) ... update-alternatives: using /usr/bin/write.ul to provide /usr/bin/write (write) in auto mode Setting up hdf5-helpers (1.10.6+repack-2) ... Setting up libregexp-pattern-perl (0.2.14-1) ... Setting up libdata-messagepack-perl (1.00-2ubuntu1) ... Setting up libicu67:s390x (67.1-3ubuntu1) ... Setting up libdynaloader-functions-perl (0.003-1) ... Setting up libdatrie1:s390x (0.2.12-3) ... Setting up libtext-glob-perl (0.11-1) ... Setting up libclass-method-modifiers-perl (2.13-1) ... Setting up liblist-compare-perl (0.53-1) ... Setting up libmagic-mgc (1:5.38-5) ... Setting up libqhull8.0:s390x (2020.1-2) ... Setting up libsort-key-perl (1.33-2build2) ... Setting up libclone-perl (0.45-1) ... Setting up libarchive-zip-perl (1.68-1) ... Setting up libyaml-0-2:s390x (0.2.2-1) ... Setting up libsub-identify-perl (0.14-1build2) ... Setting up libglib2.0-0:s390x (2.64.4-1) ... No schema files found: doing nothing. Setting up libcpanel-json-xs-perl (4.19-1build1) ... Setting up libglvnd0:s390x (1.3.1-1ubuntu1) ... Setting up libio-stringy-perl (2.111-3) ... Setting up libhtml-tagset-perl (3.20-4) ... Setting up liblog-any-perl (1.708-1) ... Setting up libqscintilla2-qt5-l10n (2.11.2+dfsg-6) ... Setting up libdevel-size-perl (0.83-1build1) ... Setting up libdebhelper-perl (13.2ubuntu1) ... Setting up libbrotli1:s390x (1.0.7-7) ... Setting up libpod-constants-perl (0.19-2) ... Setting up libconvert-binhex-perl (1.125-1) ... Setting up libfuture-perl (0.45-1) ... Setting up liblwp-mediatypes-perl (6.04-1) ... Setting up libyaml-libyaml-perl (0.82+repack-1) ... Setting up fonts-freefont-otf (20120503-10) ... Setting up x11-common (1:7.7+19ubuntu14) ... update-rc.d: warning: start and stop actions are no longer supported; falling back to defaults Running in chroot, ignoring request. invoke-rc.d: policy-rc.d denied execution of start. Setting up libtry-tiny-perl (0.30-1) ... Setting up libsensors-config (1:3.6.0-2ubuntu1) ... Setting up libnghttp2-14:s390x (1.41.0-2) ... Setting up libmagic1:s390x (1:5.38-5) ... Setting up perl-openssl-defaults:s390x (5) ... Setting up libxml-namespacesupport-perl (1.12-1) ... Setting up libfftw3-long3:s390x (3.3.8-2ubuntu6) ... Setting up gettext-base (0.19.8.1-10build1) ... Setting up libclone-choose-perl (0.010-1) ... Setting up xkb-data (2.29-2) ... Setting up libtime-moment-perl (0.44-1build3) ... Setting up libencode-locale-perl (1.05-1) ... Setting up libmetis5:s390x (5.1.0.dfsg-7) ... Setting up file (1:5.38-5) ... Setting up libreadline-dev:s390x (8.0-4) ... Setting up libconfig-tiny-perl (2.24-1) ... 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Setting up libsensors5:s390x (1:3.6.0-2ubuntu1) ... Setting up libk5crypto3:s390x (1.17-10) ... Setting up libjpeg-turbo8:s390x (2.0.3-0ubuntu2) ... Setting up libltdl7:s390x (2.4.6-14) ... Setting up libfftw3-double3:s390x (3.3.8-2ubuntu6) ... Setting up libglapi-mesa:s390x (20.1.4-1) ... Setting up libparams-util-perl (1.07-3build5) ... Setting up libsasl2-2:s390x (2.1.27+dfsg-2) ... Setting up libgfortran5:s390x (10.2.0-3ubuntu1) ... Setting up libmtdev1:s390x (1.1.6-1) ... Setting up libroken18-heimdal:s390x (7.7.0+dfsg-2) ... Setting up libtime-duration-perl (1.21-1) ... Setting up libtext-xslate-perl (3.5.8-1build1) ... Setting up libsub-exporter-progressive-perl (0.001013-1) ... Setting up libarray-intspan-perl (2.004-1) ... Setting up libcapture-tiny-perl (0.48-1) ... Setting up libtimedate-perl (2.3300-1) ... Setting up libexporter-lite-perl (0.08-1) ... Setting up libsub-name-perl (0.26-1) ... Setting up zlib1g-dev:s390x (1:1.2.11.dfsg-2ubuntu1) ... Setting up libdata-validate-domain-perl (0.10-1) ... Setting up libparse-recdescent-perl (1.967015+dfsg-2) ... Setting up libxshmfence1:s390x (1.3-1) ... Setting up libpath-tiny-perl (0.114-1) ... Setting up libuchardet0:s390x (0.0.7-1) ... Setting up liblua5.3-0:s390x (5.3.3-1.1ubuntu2) ... Setting up libjson-perl (4.02000-2) ... Setting up libasound2:s390x (1.2.2-2.3ubuntu1) ... Setting up liblog-any-adapter-screen-perl (0.140-1) ... Setting up librole-tiny-perl (2.001004-1) ... Setting up libipc-run3-perl (0.048-2) ... Setting up libmd4c0:s390x (0.4.4-1) ... Setting up libmousex-strictconstructor-perl (0.02-2) ... Setting up libsub-uplevel-perl (0.2800-1) ... Setting up libsub-override-perl (0.09-2) ... Setting up libaliased-perl (0.34-1) ... Setting up libharfbuzz0b:s390x (2.6.4-1ubuntu5) ... Setting up libthai-data (0.1.28-3) ... Setting up libgfortran-10-dev:s390x (10.2.0-3ubuntu1) ... Setting up xorg-sgml-doctools (1:1.11-1) ... Setting up netbase (6.1) ... Setting up libstrictures-perl (2.000006-1) ... Setting up libsub-quote-perl (2.006006-1) ... Setting up libdevel-stacktrace-perl (2.0400-1) ... Setting up libclass-xsaccessor-perl (1.19-3build5) ... Setting up libcxsparse3:s390x (1:5.8.1+dfsg-2) ... Setting up libtext-autoformat-perl (1.750000-1) ... Setting up libkrb5-3:s390x (1.17-10) ... Setting up libsort-versions-perl (1.62-1) ... Setting up libopengl-dev:s390x (1.3.1-1ubuntu1) ... Setting up libexporter-tiny-perl (1.002002-1) ... Setting up libre-engine-re2-perl (0.13-5build3) ... Setting up libtext-unidecode-perl (1.30-1) ... Setting up libfont-ttf-perl (1.06-1) ... Setting up libfile-homedir-perl (1.004-1) ... Setting up libsamplerate0:s390x (0.1.9-2) ... Setting up libwebpmux3:s390x (0.6.1-2) ... Setting up libbsd0:s390x (0.10.0-1) ... Setting up libtext-levenshteinxs-perl (0.03-4build7) ... Setting up libperlio-gzip-perl (0.19-1build5) ... Setting up libdrm-common (2.4.102-1) ... Setting up libelf1:s390x (0.180-1) ... Setting up libevdev2:s390x (1.9.1+dfsg-1) ... Setting up libxml2:s390x (2.9.10+dfsg-5build1) ... Setting up libtext-levenshtein-damerau-perl (0.41-1) ... Setting up libsereal-decoder-perl (4.017+ds-1) ... Setting up libsuitesparseconfig5:s390x (1:5.8.1+dfsg-2) ... Setting up liburi-perl (1.76-2) ... Setting up libcarp-assert-perl (0.21-1) ... Setting up libgudev-1.0-0:s390x (1:233-1) ... Setting up libblas-dev:s390x (3.9.0-3) ... update-alternatives: using /usr/lib/s390x-linux-gnu/blas/libblas.so to provide /usr/lib/s390x-linux-gnu/libblas.so (libblas.so-s390x-linux-gnu) in auto mode Setting up libsz2:s390x (1.0.4-1) ... Setting up libvorbisenc2:s390x (1.3.6-2ubuntu2) ... Setting up libheimbase1-heimdal:s390x (7.7.0+dfsg-2) ... Setting up libwacom-common (1.3-2ubuntu1) ... Setting up libmousex-nativetraits-perl (1.09-2) ... Setting up libemail-address-xs-perl (1.04-1build3) ... Setting up libxkbcommon0:s390x (0.10.0-1) ... Setting up libwayland-client0:s390x (1.18.0-1) ... Setting up libnet-ssleay-perl (1.88-2ubuntu1) ... Setting up libjpeg8:s390x (8c-2ubuntu8) ... Setting up x11proto-dev (2019.2-1ubuntu1) ... Setting up libfile-stripnondeterminism-perl (1.9.0-1) ... Setting up gnuplot-data (5.2.8+dfsg1-2) ... Setting up libamd2:s390x (1:5.8.1+dfsg-2) ... Setting up libice6:s390x (2:1.0.10-0ubuntu1) ... Setting up libhttp-date-perl (6.05-1) ... Setting up libjpeg-turbo8-dev:s390x (2.0.3-0ubuntu2) ... Setting up libxdmcp6:s390x (1:1.1.3-0ubuntu1) ... Setting up liblapack3:s390x (3.9.0-3) ... update-alternatives: using /usr/lib/s390x-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/s390x-linux-gnu/liblapack.so.3 (liblapack.so.3-s390x-linux-gnu) in auto mode Setting up libxcb1:s390x (1.14-2) ... Setting up libfile-basedir-perl (0.08-1) ... Setting up libxcb-xfixes0:s390x (1.14-2) ... Setting up libfile-listing-perl (6.04-1) ... Setting up libxau-dev:s390x (1:1.0.9-0ubuntu1) ... Setting up libcolamd2:s390x (1:5.8.1+dfsg-2) ... Setting up libxcb-xinput0:s390x (1.14-2) ... Setting up libtool (2.4.6-14) ... Setting up libxcb-render0:s390x (1.14-2) ... Setting up libfftw3-bin (3.3.8-2ubuntu6) ... Setting up fontconfig-config (2.13.1-2ubuntu3) ... Setting up libobject-id-perl (0.1.2-2ubuntu1) ... Setting up liblist-moreutils-perl (0.416-1build5) ... Setting up libxcb-glx0:s390x (1.14-2) ... Setting up libasn1-8-heimdal:s390x (7.7.0+dfsg-2) ... Setting up libedit2:s390x (3.1-20191231-1) ... Setting up libregexp-pattern-license-perl (3.4.0-1) ... Setting up libhash-merge-perl (0.301-1) ... Setting up libxcb-keysyms1:s390x (0.4.0-1build1) ... Setting up libaec-dev:s390x (1.0.4-1) ... Setting up libarpack2:s390x (3.7.0-3) ... Setting up libxcb-shape0:s390x (1.14-2) ... Setting up libavahi-common3:s390x (0.8-3ubuntu1) ... Setting up libtype-tiny-perl (1.010002-1) ... Setting up libnet-http-perl (6.19-1) ... Setting up libpath-iterator-rule-perl (1.014-1) ... Setting up m4 (1.4.18-4) ... Setting up libxcb-render-util0:s390x (0.3.9-1build1) ... Setting up libxcb-shm0:s390x (1.14-2) ... Setting up libexception-class-perl (1.44-1) ... Setting up libxcb-icccm4:s390x (0.4.1-1.1) ... Setting up libclass-c3-perl (0.34-1) ... Setting up libqrupdate1:s390x (1.1.2-4) ... Setting up libdevel-callchecker-perl (0.008-1ubuntu1) ... Setting up libxml-sax-perl (1.02+dfsg-1) ... update-perl-sax-parsers: Registering Perl SAX parser XML::SAX::PurePerl with priority 10... update-perl-sax-parsers: Updating overall Perl SAX parser modules info file... Creating config file /etc/perl/XML/SAX/ParserDetails.ini with new version Setting up libhcrypto4-heimdal:s390x (7.7.0+dfsg-2) ... Setting up libtest-metrics-any-perl (0.01-2) ... Setting up libxcb-util1:s390x (0.4.0-0ubuntu3) ... Setting up libxcb-xkb1:s390x (1.14-2) ... Setting up libxcb-image0:s390x (0.4.0-1build1) ... Setting up libio-async-perl (0.77-3) ... Setting up libllvm10:s390x (1:10.0.1-1) ... Setting up libxcb-present0:s390x (1.14-2) ... Setting up tex-common (6.15) ... update-language: texlive-base not installed and configured, doing nothing! Setting up libthai0:s390x (0.1.28-3) ... Setting up libcamd2:s390x (1:5.8.1+dfsg-2) ... Setting up libxdmcp-dev:s390x (1:1.1.3-0ubuntu1) ... Setting up libwind0-heimdal:s390x (7.7.0+dfsg-2) ... Setting up libxcb-xinerama0:s390x (1.14-2) ... Setting up libtest-exception-perl (0.43-1) ... Setting up libglpk40:s390x (4.65-2) ... Setting up libstring-copyright-perl (0.003006-1) ... Setting up libxcb-sync1:s390x (1.14-2) ... Setting up x11proto-core-dev (2019.2-1ubuntu1) ... Setting up shared-mime-info (1.15-1) ... Setting up libxkbcommon-x11-0:s390x (0.10.0-1) ... Setting up liblapack-dev:s390x (3.9.0-3) ... update-alternatives: using /usr/lib/s390x-linux-gnu/lapack/liblapack.so to provide /usr/lib/s390x-linux-gnu/liblapack.so (liblapack.so-s390x-linux-gnu) in auto mode Setting up libgssapi-krb5-2:s390x (1.17-10) ... Setting up gfortran-10 (10.2.0-3ubuntu1) ... Setting up libdata-optlist-perl (0.110-1) ... Setting up libcroco3:s390x (0.6.13-1) ... Setting up libqt5core5a:s390x (5.14.2+dfsg-5) ... Setting up libssh-4:s390x (0.9.4-1ubuntu2) ... Setting up autoconf (2.69-11.1) ... Setting up libxml-libxml-perl (2.0134+dfsg-2) ... update-perl-sax-parsers: Registering Perl SAX parser XML::LibXML::SAX::Parser with priority 50... update-perl-sax-parsers: Registering Perl SAX parser XML::LibXML::SAX with priority 50... update-perl-sax-parsers: Updating overall Perl SAX parser modules info file... Replacing config file /etc/perl/XML/SAX/ParserDetails.ini with new version Setting up libxcb-dri2-0:s390x (1.14-2) ... Setting up dh-strip-nondeterminism (1.9.0-1) ... Setting up libwww-robotrules-perl (6.02-1) ... Setting up libjack-jackd2-0:s390x (1.9.14-0ubuntu2) ... Setting up libdrm2:s390x (2.4.102-1) ... Setting up libhdf5-103-1:s390x (1.10.6+repack-2) ... Setting up dwz (0.13-5) ... Setting up groff-base (1.22.4-5) ... Setting up libqt5dbus5:s390x (5.14.2+dfsg-5) ... Setting up libccolamd2:s390x (1:5.8.1+dfsg-2) ... Setting up libxcb-randr0:s390x (1.14-2) ... Setting up libhtml-parser-perl (3.72-5) ... Setting up libhdf5-cpp-103-1:s390x (1.10.6+repack-2) ... Setting up libx11-6:s390x (2:1.6.9-2ubuntu1) ... Setting up libtiff5:s390x (4.1.0+git191117-2build1) ... Setting up libfontconfig1:s390x (2.13.1-2ubuntu3) ... Setting up libsndfile1:s390x (1.0.28-8) ... Setting up libmro-compat-perl (0.13-1) ... Setting up libjpeg8-dev:s390x (8c-2ubuntu8) ... Setting up libwacom2:s390x (1.3-2ubuntu1) ... Setting up libsm6:s390x (2:1.2.3-1) ... Setting up libfftw3-dev:s390x (3.3.8-2ubuntu6) ... Setting up libavahi-client3:s390x (0.8-3ubuntu1) ... Setting up libcholmod3:s390x (1:5.8.1+dfsg-2) ... Setting up libio-socket-ssl-perl (2.067-1) ... Setting up libsub-exporter-perl (0.987-1) ... Setting up libhttp-message-perl (6.25-1) ... Setting up libdrm-amdgpu1:s390x (2.4.102-1) ... Setting up libhdf5-hl-100:s390x (1.10.6+repack-2) ... Setting up automake (1:1.16.2-3ubuntu1) ... update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode Setting up libiterator-perl (0.03+ds1-1) ... Setting up libxcb-dri3-0:s390x (1.14-2) ... Setting up libportaudio2:s390x (19.6.0-1build1) ... Setting up libhttp-negotiate-perl (6.01-1) ... Setting up fontconfig (2.13.1-2ubuntu3) ... Regenerating fonts cache... done. Setting up libcarp-assert-more-perl (1.20-1) ... Setting up libdrm-nouveau2:s390x (2.4.102-1) ... Setting up gettext (0.19.8.1-10build1) ... Setting up libxdamage1:s390x (1:1.1.5-2) ... Setting up libxcb1-dev:s390x (1.14-2) ... Setting up libxpm4:s390x (1:3.5.12-1) ... Setting up libiterator-util-perl (0.02+ds1-1) ... Setting up libxrender1:s390x (1:0.9.10-1) ... Setting up libgbm1:s390x (20.1.4-1) ... Setting up libhttp-cookies-perl (6.08-1) ... Setting up libwmf0.2-7:s390x (0.2.8.4-17ubuntu1) ... Setting up libdrm-radeon1:s390x (2.4.102-1) ... Setting up libhx509-5-heimdal:s390x (7.7.0+dfsg-2) ... Setting up libhtml-tree-perl (5.07-2) ... Setting up libparams-classify-perl (0.015-1build2) ... Setting up libpango-1.0-0:s390x (1.44.7-2ubuntu4) ... Setting up libgl1-mesa-dri:s390x (20.1.4-1) ... Setting up libjpeg-dev:s390x (8c-2ubuntu8) ... Setting up libx11-dev:s390x (2:1.6.9-2ubuntu1) ... Setting up libxext6:s390x (2:1.3.4-0ubuntu1) ... Setting up man-db (2.9.3-2) ... Not building database; man-db/auto-update is not 'true'. Created symlink /etc/systemd/system/timers.target.wants/man-db.timer → /lib/systemd/system/man-db.timer. Setting up gfortran (4:10.1.0-1ubuntu1) ... update-alternatives: using /usr/bin/gfortran to provide /usr/bin/f95 (f95) in auto mode update-alternatives: using /usr/bin/gfortran to provide /usr/bin/f77 (f77) in auto mode Setting up libcairo2:s390x (1.16.0-4ubuntu1) ... Setting up libqt5network5:s390x (5.14.2+dfsg-5) ... Setting up libio-async-loop-epoll-perl (0.21-1) ... Setting up libxxf86vm1:s390x (1:1.1.4-1build1) ... Setting up libinput-bin (1.16.0-1) ... Setting up intltool-debian (0.35.0+20060710.5) ... Setting up libqt5sql5:s390x (5.14.2+dfsg-5) ... Setting up libqt5xml5:s390x (5.14.2+dfsg-5) ... Setting up libegl-mesa0:s390x (20.1.4-1) ... Setting up libhdf5-hl-cpp-100:s390x (1.10.6+repack-2) ... Setting up libumfpack5:s390x (1:5.8.1+dfsg-2) ... Setting up libnet-smtp-ssl-perl (1.04-1) ... Setting up libmodule-runtime-perl (0.016-1) ... Setting up libmailtools-perl (2.21-1) ... Setting up libxfixes3:s390x (1:5.0.3-2) ... Setting up libconfig-model-perl (2.140-1) ... Setting up libxinerama1:s390x (2:1.1.4-2) ... Setting up libgd3:s390x (2.3.0-2) ... Setting up libhdf5-fortran-102:s390x (1.10.6+repack-2) ... Setting up libgraphicsmagick-q16-3 (1.4+really1.3.35+hg16297-1) ... Setting up texinfo (6.7.0.dfsg.2-5) ... Setting up libcups2:s390x (2.3.3-2) ... Setting up libdata-section-perl (0.200007-1) ... Setting up libegl1:s390x (1.3.1-1ubuntu1) ... Setting up libhdf5-hl-fortran-100:s390x (1.10.6+repack-2) ... Setting up libgraphicsmagick++-q16-12 (1.4+really1.3.35+hg16297-1) ... Setting up libpangoft2-1.0-0:s390x (1.44.7-2ubuntu4) ... Setting up libdata-dpath-perl (0.58-1) ... Setting up libstring-rewriteprefix-perl (0.008-1) ... Setting up libpangocairo-1.0-0:s390x (1.44.7-2ubuntu4) ... Setting up libkrb5-26-heimdal:s390x (7.7.0+dfsg-2) ... Setting up libconfig-model-backend-yaml-perl (2.133-2) ... Setting up libinput10:s390x (1.16.0-1) ... Setting up libxft2:s390x (2.3.3-0ubuntu1) ... Setting up libglx-mesa0:s390x (20.1.4-1) ... Setting up libglx0:s390x (1.3.1-1ubuntu1) ... Setting up libmodule-implementation-perl (0.09-1) ... Setting up libpackage-stash-perl (0.38-1) ... Setting up libimport-into-perl (1.002005-1) ... Setting up libmoo-perl (2.004000-1) ... Setting up po-debconf (1.0.21) ... Setting up libxcursor1:s390x (1:1.2.0-2) ... Setting up liblist-someutils-perl (0.58-1) ... Setting up libmime-tools-perl (5.509-1) ... Setting up libheimntlm0-heimdal:s390x (7.7.0+dfsg-2) ... Setting up libsoftware-license-perl (0.103014-2) ... Setting up libclass-load-perl (0.25-1) ... Setting up libgl1:s390x (1.3.1-1ubuntu1) ... Setting up libgssapi3-heimdal:s390x (7.7.0+dfsg-2) ... Setting up libhdf5-dev (1.10.6+repack-2) ... update-alternatives: using /usr/lib/s390x-linux-gnu/pkgconfig/hdf5-serial.pc to provide /usr/lib/s390x-linux-gnu/pkgconfig/hdf5.pc (hdf5.pc) in auto mode Setting up libglx-dev:s390x (1.3.1-1ubuntu1) ... Setting up libglu1-mesa:s390x (9.0.1-1build1) ... Setting up gnuplot-nox (5.2.8+dfsg1-2) ... update-alternatives: using /usr/bin/gnuplot-nox to provide /usr/bin/gnuplot (gnuplot) in auto mode Setting up libmoox-aliases-perl (0.001006-1) ... Setting up libparams-validate-perl (1.29-3) ... Setting up libb-hooks-endofscope-perl (0.24-1) ... Setting up libgl-dev:s390x (1.3.1-1ubuntu1) ... Setting up libegl-dev:s390x (1.3.1-1ubuntu1) ... Setting up libsoftware-licensemoreutils-perl (1.004-1) ... Setting up libfltk1.3:s390x (1.3.5-1) ... Setting up libfltk-gl1.3:s390x (1.3.5-1) ... Setting up libqt5gui5:s390x (5.14.2+dfsg-5) ... Setting up libldap-2.4-2:s390x (2.4.50+dfsg-1ubuntu3) ... Setting up libcurl3-gnutls:s390x (7.68.0-1ubuntu4) ... Setting up libqt5widgets5:s390x (5.14.2+dfsg-5) ... Setting up libqt5help5:s390x (5.14.2-2) ... Setting up libgl2ps1.4 (1.4.2+dfsg1-1) ... Setting up libqt5printsupport5:s390x (5.14.2+dfsg-5) ... Setting up liboctave7:s390x (5.2.0-3build1) ... Setting up dh-octave-autopkgtest (0.7.6) ... Setting up libnamespace-clean-perl (0.27-1) ... Setting up libgetopt-long-descriptive-perl (0.105-1) ... Setting up libgles-dev:s390x (1.3.1-1ubuntu1) ... Setting up libnamespace-autoclean-perl (0.29-1) ... Setting up libapp-cmd-perl (0.331-1) ... Setting up libglvnd-dev:s390x (1.3.1-1ubuntu1) ... Setting up libmoox-struct-perl (0.020-1) ... Setting up lintian (2.86.0) ... Setting up libqscintilla2-qt5-15 (2.11.2+dfsg-6) ... Setting up octave (5.2.0-3build1) ... Setting up cme (1.032-1) ... Setting up libgl1-mesa-dev:s390x (20.1.4-1) ... Setting up licensecheck (3.0.47-1) ... Setting up liboctave-dev (5.2.0-3build1) ... Setting up dh-autoreconf (19) ... Setting up liblwp-protocol-https-perl (6.09-1) ... Setting up libwww-perl (6.46-1) ... Setting up debhelper (13.2ubuntu1) ... Setting up libparse-debcontrol-perl (2.005-4) ... Setting up libconfig-model-dpkg-perl (2.138) ... Setting up dh-octave (0.7.6) ... Setting up sbuild-build-depends-octave-stk-dummy (0.invalid.0) ... Processing triggers for libc-bin (2.31-2ubuntu1) ... Processing triggers for systemd (245.7-1ubuntu1) ... +------------------------------------------------------------------------------+ | Build environment | +------------------------------------------------------------------------------+ Kernel: Linux 4.4.0-177-generic s390x (s390x) Toolchain package versions: binutils_2.35-1ubuntu1 dpkg-dev_1.20.5ubuntu1 g++-10_10.2.0-3ubuntu1 gcc-10_10.2.0-3ubuntu1 libc6-dev_2.31-2ubuntu1 libstdc++-10-dev_10.2.0-3ubuntu1 libstdc++6_10.2.0-3ubuntu1 linux-libc-dev_5.8.0-12.13 Package versions: adduser_3.118ubuntu2 advancecomp_2.1-2.1build1 aglfn_1.7+git20191031.4036a9c-2 apt_2.1.7 autoconf_2.69-11.1 automake_1:1.16.2-3ubuntu1 autopoint_0.19.8.1-10build1 autotools-dev_20180224.1 base-files_11ubuntu10 base-passwd_3.5.47 bash_5.0-6ubuntu2 binutils_2.35-1ubuntu1 binutils-common_2.35-1ubuntu1 binutils-s390x-linux-gnu_2.35-1ubuntu1 bsdextrautils_2.36-2ubuntu1 bsdutils_1:2.36-2ubuntu1 build-essential_12.8ubuntu3 bzip2_1.0.8-4ubuntu2 ca-certificates_20200601 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hostname_3.23 init_1.58 init-system-helpers_1.58 intltool-debian_0.35.0+20060710.5 libacl1_2.2.53-8 libaec-dev_1.0.4-1 libaec0_1.0.4-1 libalgorithm-c3-perl_0.10-1 libaliased-perl_0.34-1 libamd2_1:5.8.1+dfsg-2 libapp-cmd-perl_0.331-1 libapparmor1_2.13.3-7ubuntu6 libapt-pkg-perl_0.1.36build3 libapt-pkg6.0_2.1.7 libarchive-zip-perl_1.68-1 libargon2-1_0~20171227-0.2build20.10.0 libarpack2_3.7.0-3 libarray-intspan-perl_2.004-1 libasan6_10.2.0-3ubuntu1 libasn1-8-heimdal_7.7.0+dfsg-2 libasound2_1.2.2-2.3ubuntu1 libasound2-data_1.2.2-2.3ubuntu1 libassuan0_2.5.3-7.1 libatomic1_10.2.0-3ubuntu1 libattr1_1:2.4.48-5 libaudit-common_1:2.8.5-2ubuntu6 libaudit1_1:2.8.5-2ubuntu6 libavahi-client3_0.8-3ubuntu1 libavahi-common-data_0.8-3ubuntu1 libavahi-common3_0.8-3ubuntu1 libb-hooks-endofscope-perl_0.24-1 libb-hooks-op-check-perl_0.22-1build2 libbinutils_2.35-1ubuntu1 libblas-dev_3.9.0-3 libblas3_3.9.0-3 libblkid1_2.36-2ubuntu1 libboolean-perl_0.46-1 libbrotli1_1.0.7-7 libbsd0_0.10.0-1 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libtext-reform-perl_1.20-3 libtext-template-perl_1.59-1 libtext-unidecode-perl_1.30-1 libtext-xslate-perl_3.5.8-1build1 libthai-data_0.1.28-3 libthai0_0.1.28-3 libtiff5_4.1.0+git191117-2build1 libtime-duration-perl_1.21-1 libtime-moment-perl_0.44-1build3 libtimedate-perl_2.3300-1 libtinfo6_6.2-1 libtool_2.4.6-14 libtry-tiny-perl_0.30-1 libtype-tiny-perl_1.010002-1 libubsan1_10.2.0-3ubuntu1 libuchardet0_0.0.7-1 libudev1_245.7-1ubuntu1 libumfpack5_1:5.8.1+dfsg-2 libunicode-utf8-perl_0.62-1build1 libunistring2_0.9.10-4 liburi-perl_1.76-2 libuuid1_2.36-2ubuntu1 libvariable-magic-perl_0.62-1build2 libvorbis0a_1.3.6-2ubuntu2 libvorbisenc2_1.3.6-2ubuntu2 libwacom-common_1.3-2ubuntu1 libwacom2_1.3-2ubuntu1 libwayland-client0_1.18.0-1 libwayland-server0_1.18.0-1 libwebp6_0.6.1-2 libwebpmux3_0.6.1-2 libwind0-heimdal_7.7.0+dfsg-2 libwmf0.2-7_0.2.8.4-17ubuntu1 libwww-perl_6.46-1 libwww-robotrules-perl_6.02-1 libx11-6_2:1.6.9-2ubuntu1 libx11-data_2:1.6.9-2ubuntu1 libx11-dev_2:1.6.9-2ubuntu1 libx11-xcb1_2:1.6.9-2ubuntu1 libxau-dev_1:1.0.9-0ubuntu1 libxau6_1:1.0.9-0ubuntu1 libxcb-dri2-0_1.14-2 libxcb-dri3-0_1.14-2 libxcb-glx0_1.14-2 libxcb-icccm4_0.4.1-1.1 libxcb-image0_0.4.0-1build1 libxcb-keysyms1_0.4.0-1build1 libxcb-present0_1.14-2 libxcb-randr0_1.14-2 libxcb-render-util0_0.3.9-1build1 libxcb-render0_1.14-2 libxcb-shape0_1.14-2 libxcb-shm0_1.14-2 libxcb-sync1_1.14-2 libxcb-util1_0.4.0-0ubuntu3 libxcb-xfixes0_1.14-2 libxcb-xinerama0_1.14-2 libxcb-xinput0_1.14-2 libxcb-xkb1_1.14-2 libxcb1_1.14-2 libxcb1-dev_1.14-2 libxcursor1_1:1.2.0-2 libxdamage1_1:1.1.5-2 libxdmcp-dev_1:1.1.3-0ubuntu1 libxdmcp6_1:1.1.3-0ubuntu1 libxext6_2:1.3.4-0ubuntu1 libxfixes3_1:5.0.3-2 libxft2_2.3.3-0ubuntu1 libxinerama1_2:1.1.4-2 libxkbcommon-x11-0_0.10.0-1 libxkbcommon0_0.10.0-1 libxml-libxml-perl_2.0134+dfsg-2 libxml-namespacesupport-perl_1.12-1 libxml-sax-base-perl_1.09-1 libxml-sax-perl_1.02+dfsg-1 libxml-writer-perl_0.625-1 libxml2_2.9.10+dfsg-5build1 libxpm4_1:3.5.12-1 libxrender1_1:0.9.10-1 libxshmfence1_1.3-1 libxxf86vm1_1:1.1.4-1build1 libyaml-0-2_0.2.2-1 libyaml-libyaml-perl_0.82+repack-1 libyaml-perl_1.30-1 libyaml-tiny-perl_1.73-1 libzstd1_1.4.5+dfsg-3 licensecheck_3.0.47-1 lintian_2.86.0 linux-libc-dev_5.8.0-12.13 lockfile-progs_0.1.18 login_1:4.8.1-1ubuntu6 logsave_1.45.6-1ubuntu1 lsb-base_11.1.0ubuntu2 lzip_1.21-7 m4_1.4.18-4 make_4.3-4ubuntu1 man-db_2.9.3-2 mawk_1.3.4.20200120-2 mount_2.36-2ubuntu1 ncurses-base_6.2-1 ncurses-bin_6.2-1 netbase_6.1 octave_5.2.0-3build1 octave-common_5.2.0-3build1 openssl_1.1.1f-1ubuntu3 optipng_0.7.7-1 passwd_1:4.8.1-1ubuntu6 patch_2.7.6-6 patchutils_0.4.2-1 perl_5.30.3-4 perl-base_5.30.3-4 perl-modules-5.30_5.30.3-4 perl-openssl-defaults_5 pinentry-curses_1.1.0-4build1 pkgbinarymangler_146 po-debconf_1.0.21 policyrcd-script-zg2_0.1-3 procps_2:3.3.16-5ubuntu1 readline-common_8.0-4 sbuild-build-depends-core-dummy_0.invalid.0 sbuild-build-depends-octave-stk-dummy_0.invalid.0 sed_4.7-1build1 sensible-utils_0.0.12+nmu1 shared-mime-info_1.15-1 systemd_245.7-1ubuntu1 systemd-sysv_245.7-1ubuntu1 systemd-timesyncd_245.7-1ubuntu1 sysvinit-utils_2.96-3ubuntu1 t1utils_1.41-4 tar_1.30+dfsg-7 tex-common_6.15 texinfo_6.7.0.dfsg.2-5 tzdata_2020a-0ubuntu1 ubuntu-keyring_2020.06.17.1 ucf_3.0043 util-linux_2.36-2ubuntu1 x11-common_1:7.7+19ubuntu14 x11proto-core-dev_2019.2-1ubuntu1 x11proto-dev_2019.2-1ubuntu1 xkb-data_2.29-2 xorg-sgml-doctools_1:1.11-1 xtrans-dev_1.4.0-1 xz-utils_5.2.4-1ubuntu1 zlib1g_1:1.2.11.dfsg-2ubuntu1 zlib1g-dev_1:1.2.11.dfsg-2ubuntu1 +------------------------------------------------------------------------------+ | Build | +------------------------------------------------------------------------------+ Unpack source ------------- gpgv: Signature made Mon Aug 3 11:07:42 2020 UTC gpgv: using RSA key 3F464391498FE874BDB5D98F2124AA1983785C90 gpgv: Can't check signature: No public key dpkg-source: warning: failed to verify signature on ./octave-stk_2.6.1-3.dsc dpkg-source: info: extracting octave-stk in octave-stk-2.6.1 dpkg-source: info: unpacking octave-stk_2.6.1.orig.tar.gz dpkg-source: info: unpacking octave-stk_2.6.1-3.debian.tar.xz dpkg-source: info: using patch list from debian/patches/series dpkg-source: info: applying 0002-Remove-the-MOLE.patch dpkg-source: info: applying 0003-Mark-expected-failure.patch Check disc space ---------------- Sufficient free space for build User Environment ---------------- APT_CONFIG=/var/lib/sbuild/apt.conf DEB_BUILD_OPTIONS=parallel=4 HOME=/sbuild-nonexistent LANG=C.UTF-8 LC_ALL=C.UTF-8 LOGNAME=buildd PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games SCHROOT_ALIAS_NAME=build-PACKAGEBUILD-19765813 SCHROOT_CHROOT_NAME=build-PACKAGEBUILD-19765813 SCHROOT_COMMAND=env SCHROOT_GID=2501 SCHROOT_GROUP=buildd SCHROOT_SESSION_ID=build-PACKAGEBUILD-19765813 SCHROOT_UID=2001 SCHROOT_USER=buildd SHELL=/bin/sh TERM=unknown USER=buildd V=1 dpkg-buildpackage ----------------- dpkg-buildpackage: info: source package octave-stk dpkg-buildpackage: info: source version 2.6.1-3 dpkg-buildpackage: info: source distribution unstable dpkg-source --before-build . dpkg-buildpackage: info: host architecture s390x 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-arch dh binary-arch --buildsystem=octave --with=octave dh_update_autotools_config -a -O--buildsystem=octave dh_autoreconf -a -O--buildsystem=octave dh_octave_version -a -O--buildsystem=octave Checking the Octave version... ok dh_auto_configure -a -O--buildsystem=octave dh_auto_build -a -O--buildsystem=octave dh_auto_test -a -O--buildsystem=octave create-stamp debian/debhelper-build-stamp dh_testroot -a -O--buildsystem=octave dh_prep -a -O--buildsystem=octave dh_auto_install -a -O--buildsystem=octave octave --no-gui --no-history --silent --no-init-file --no-window-system /usr/share/dh-octave/install-pkg.m warning: creating installation directory /<>/debian/octave-stk/usr/share/octave/packages warning: called from install at line 30 column 5 pkg at line 441 column 9 /usr/share/dh-octave/install-pkg.m at line 43 column 1 make[1]: Entering directory '/<>/src' /usr/bin/mkoctfile --verbose --mex --output __stk_dist_pairwise__.mex stk_dist_pairwise.c /usr/bin/mkoctfile --verbose --mex --output __get_column_number__.mex get_column_number.c /usr/bin/mkoctfile --verbose --mex --output __stk_dist_matrixy__.mex stk_dist_matrixy.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_dist_pairwise.c -o /tmp/oct-VsonaX.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG get_column_number.c -o /tmp/oct-vBeUl5.o /usr/bin/mkoctfile --verbose --mex --output __stk_filldist_discr_mex__.mex stk_filldist_discr_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_dist_matrixy.c -o /tmp/oct-NzeGM6.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_filldist_discr_mex.c -o /tmp/oct-bTBQLm.o g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_dist_matrixy__.mex /tmp/oct-NzeGM6.o -L/usr/lib/s390x-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_filldist_discr_mex__.mex /tmp/oct-bTBQLm.o -L/usr/lib/s390x-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_matrixy__.mex stk_gpquadform_matrixy.c g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_dist_pairwise__.mex /tmp/oct-VsonaX.o -L/usr/lib/s390x-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_gpquadform_matrixy.c -o /tmp/oct-E9kRfZ.o /usr/bin/mkoctfile --verbose --mex --output __stk_isdominated_mex__.mex stk_isdominated_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_isdominated_mex.c -o /tmp/oct-Yfw1ry.o g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __get_column_number__.mex /tmp/oct-vBeUl5.o -L/usr/lib/s390x-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro /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-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_mindist_mex.c -o /tmp/oct-n9sxbk.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-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_dist_matrixx.c -o /tmp/oct-ORKquA.o g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_gpquadform_matrixy__.mex /tmp/oct-E9kRfZ.o -L/usr/lib/s390x-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_mindist_mex__.mex /tmp/oct-n9sxbk.o -L/usr/lib/s390x-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_matrixx__.mex stk_gpquadform_matrixx.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_gpquadform_matrixx.c -o /tmp/oct-mj0F8F.o /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_pairwise__.mex stk_gpquadform_pairwise.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_gpquadform_pairwise.c -o /tmp/oct-kqiNf3.o g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_isdominated_mex__.mex /tmp/oct-Yfw1ry.o -L/usr/lib/s390x-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_dist_matrixx__.mex /tmp/oct-ORKquA.o -L/usr/lib/s390x-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro /usr/bin/mkoctfile --verbose --mex --output __stk_paretofind_mex__.mex stk_paretofind_mex.c /usr/bin/mkoctfile --verbose --mex --output __stk_sampling_vdc_rr2__.mex stk_sampling_vdc_rr2.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_paretofind_mex.c -o /tmp/oct-V4ZVoZ.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_sampling_vdc_rr2.c -o /tmp/oct-2abI17.o g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_gpquadform_matrixx__.mex /tmp/oct-mj0F8F.o -L/usr/lib/s390x-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_gpquadform_pairwise__.mex /tmp/oct-kqiNf3.o -L/usr/lib/s390x-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro /usr/bin/mkoctfile --verbose --mex --output __stk_sampling_sobol_mex__.mex stk_sampling_sobol_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_sampling_sobol_mex.c -o /tmp/oct-GRtekp.o /usr/bin/mkoctfile --verbose --mex --output __stk_distrib_bivnorm0_cdf__.mex stk_distrib_bivnorm0_cdf.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_distrib_bivnorm0_cdf.c -o /tmp/oct-sBJ5zI.o g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_paretofind_mex__.mex /tmp/oct-V4ZVoZ.o -L/usr/lib/s390x-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_sampling_vdc_rr2__.mex /tmp/oct-2abI17.o -L/usr/lib/s390x-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro /usr/bin/mkoctfile --verbose --mex --output __stk_dominatedhv_mex__.mex stk_dominatedhv_mex.c wfg.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_dominatedhv_mex.c -o /tmp/oct-UIDz9H.o g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_distrib_bivnorm0_cdf__.mex /tmp/oct-sBJ5zI.o -L/usr/lib/s390x-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_sampling_sobol_mex__.mex /tmp/oct-GRtekp.o -L/usr/lib/s390x-linux-gnu -Wl,-Bsymbolic-functions -Wl,-z,relro gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG wfg.c -o /tmp/oct-L1sZIK.o g++ -I/usr/include/octave-5.2.0/octave/.. -I/usr/include/octave-5.2.0/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/<>=. -fstack-protector-strong -Wformat -Werror=format-security -shared -Wl,-Bsymbolic -Wl,-Bsymbolic-functions -Wl,-z,relro -o __stk_dominatedhv_mex__.mex /tmp/oct-UIDz9H.o /tmp/oct-L1sZIK.o -L/usr/lib/s390x-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/s390x-ibm-linux-gnu-api-v53 For information about changes from previous versions of the stk package, run 'news stk'. chmod: cannot access 'debian/*/usr/lib/*/octave/packages/*/*/*.oct': No such file or directory dh_octave_check -a -O--buildsystem=octave Checking package... Checking m files ... [inst/core/stk_cholcov.m] >>>>> /<>/inst/core/stk_cholcov.m ***** shared Q, K, L, U, epsi Q = 0.25 * hadamard(4); ***** test K = Q * diag ([1, 0.1, 0.01, 1e-7]) * Q'; [U, epsi] = stk_cholcov (K); ***** assert (istriu (U)) ***** assert (epsi == 0) ***** test K = Q * diag ([1, 0.1, 0.01, 1e-7]) * Q'; [L, epsi] = stk_cholcov (K, 'lower'); ***** assert (istril (L)) ***** assert (epsi == 0) ***** test K = Q * diag ([1, 0.1, 0.01, -1e-7]) * Q'; [U, epsi] = stk_cholcov (K); ***** assert (istriu (U)) ***** assert (epsi > 0) ***** test K = Q * diag ([1, 0.1, 0.01, -1e-7]) * Q'; [L, epsi] = stk_cholcov (K, 'lower'); ***** assert (istril (L)) ***** assert (epsi > 0) 12 tests, 12 passed, 0 known failure, 0 skipped [inst/core/stk_predict_leaveoneout.m] >>>>> /<>/inst/core/stk_predict_leaveoneout.m ***** shared n, x_obs, z_obs, model n = 20; x_obs = stk_sampling_regulargrid (n, 1, [0; 2*pi]); z_obs = stk_feval (@sin, x_obs); model = stk_model ('stk_materncov32_iso'); model.param = log ([1; 5]); ***** test % one output loo_pred = stk_predict_leaveoneout (model, x_obs, z_obs); assert (isequal (size (loo_pred), [n 2])); assert (isequal (loo_pred.colnames, {'mean', 'var'})); assert (all (isfinite (loo_pred(:)))); ***** test % two outputs [loo_pred, loo_res] = stk_predict_leaveoneout (model, x_obs, z_obs); assert (isequal (size (loo_pred), [n 2])); assert (isequal (loo_pred.colnames, {'mean', 'var'})); assert (all (isfinite (loo_pred(:)))); assert (isequal (size (loo_res), [n 2])); assert (isequal (loo_res.colnames, {'residuals', 'norm_res'})); assert (all (isfinite (loo_res(:)))); ***** test % heteroscedastic noise case model.lognoisevariance = (1 + rand (n, 1)) * 1e-6; [loo_pred, loo_res] = stk_predict_leaveoneout (model, x_obs, z_obs); assert (isequal (size (loo_pred), [n 2])); assert (isequal (loo_pred.colnames, {'mean', 'var'})); assert (all (isfinite (loo_pred(:)))); assert (isequal (size (loo_res), [n 2])); assert (isequal (loo_res.colnames, {'residuals', 'norm_res'})); assert (all (isfinite (loo_res(:)))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/core/stk_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_predict.m] >>>>> /<>/inst/core/stk_predict.m ***** shared n, m, model, x0, x_obs, z_obs, x_prd, y_prd1, idx_obs, idx_prd n = 10; % number of observations m = n + 1; % number of predictions d = 1; % dimension of the input space x0 = stk_sampling_regulargrid(n+m, d, [0; pi]); idx_obs = (2:2:(n+m-1))'; idx_prd = (1:2:(n+m))'; x_obs = x0(idx_obs); z_obs = sin (double (x_obs)); x_prd = x0(idx_prd); model = stk_model ('stk_materncov32_iso'); model.param = log ([1.0; 2.1]); ***** error y_prd1 = stk_predict (); ***** error y_prd1 = stk_predict (model); ***** error y_prd1 = stk_predict (model, x_obs); ***** error y_prd1 = stk_predict (model, x_obs, z_obs); ***** test y_prd1 = stk_predict (model, x_obs, z_obs, x_prd); ***** error y_prd1 = stk_predict (model, [x_obs; x_obs], [z_obs; z_obs], x_prd); ***** test % nargout = 2 [y_prd1, lambda] = stk_predict (model, x_obs, z_obs, x_prd); assert (isequal (size (lambda), [n m])); ***** test % nargout = 2, compute only variances [y_prd1, lambda] = stk_predict (model, x_obs, [], x_prd); assert (isequal (size (lambda), [n m])); assert (all (isnan (y_prd1.mean))); ***** test % nargout = 3 [y_prd1, lambda, mu] = stk_predict (model, x_obs, z_obs, x_prd); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging ***** test % nargout = 4 [y_prd1, lambda, mu, K] = stk_predict (model, x_obs, z_obs, x_prd); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging assert (isequal (size (K), [m m])); ***** test % predict on large set of locations x_prd = stk_sampling_regulargrid (1e5, 1, [0; pi]); y_prd = stk_predict (model, x_obs, z_obs, x_prd); ***** test % predict on an observation point % https://sourceforge.net/p/kriging/tickets/49/ [zp, lambda] = stk_predict (model, x_obs, z_obs, x_obs(4)); assert (isequal (z_obs(4), zp.mean)) assert (isequal (zp.var, 0)) lambda_ref = zeros (n, 1); lambda_ref(4) = 1; assert (isequal (lambda, lambda_ref)) 12 tests, 12 passed, 0 known failure, 0 skipped [inst/core/@stk_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_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/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_ortho_func.m] >>>>> /<>/inst/model/prior_struct/stk_ortho_func.m ***** shared model, x, n, d n = 15; d = 4; model = stk_model ('stk_materncov_aniso', d); x = stk_sampling_randunif (n, d); model = rmfield (model, 'lm'); % Test the old .order approach ***** error P = stk_ortho_func (); ***** error P = stk_ortho_func (model); ***** test P = stk_ortho_func (model, x); ***** test model.order = -1; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 0])); ***** test model.order = 0; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 1])); ***** test model.order = 1; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, d + 1])); ***** test model.order = 2; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 1 + d * (d + 3) / 2])); ***** test model.order = 3; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 1 + d * (11 + d * (6 + d)) / 6])); ***** error model.order = 4; P = stk_ortho_func (model, x); % model.order > 3 is not allowed 9 tests, 9 passed, 0 known failure, 0 skipped [inst/model/prior_struct/stk_model.m] >>>>> /<>/inst/model/prior_struct/stk_model.m ***** test model = stk_model(); ***** test model = stk_model('stk_expcov_iso'); ***** test model = stk_model('stk_expcov_iso', 1); ***** test model = stk_model('stk_expcov_iso', 3); ***** test model = stk_model('stk_expcov_aniso'); ***** test model = stk_model('stk_expcov_aniso', 1); ***** test model = stk_model('stk_expcov_aniso', 3); ***** test model = stk_model('stk_materncov_iso'); ***** test model = stk_model('stk_materncov_iso', 1); ***** test model = stk_model('stk_materncov_iso', 3); ***** test model = stk_model('stk_materncov_aniso'); ***** test model = stk_model('stk_materncov_aniso', 1); ***** test model = stk_model('stk_materncov_aniso', 3); ***** test model = stk_model('stk_materncov32_iso'); ***** test model = stk_model('stk_materncov32_iso', 1); ***** test model = stk_model('stk_materncov32_iso', 3); ***** test model = stk_model('stk_materncov32_aniso'); ***** test model = stk_model('stk_materncov32_aniso', 1); ***** test model = stk_model('stk_materncov32_aniso', 3); ***** test model = stk_model('stk_materncov52_iso'); ***** test model = stk_model('stk_materncov52_iso', 1); ***** test model = stk_model('stk_materncov52_iso', 3); ***** test model = stk_model('stk_materncov52_aniso'); ***** test model = stk_model('stk_materncov52_aniso', 1); ***** test model = stk_model('stk_materncov52_aniso', 3); ***** test model = stk_model('stk_gausscov_iso'); ***** test model = stk_model('stk_gausscov_iso', 1); ***** test model = stk_model('stk_gausscov_iso', 3); ***** test model = stk_model('stk_gausscov_aniso'); ***** test model = stk_model('stk_gausscov_aniso', 1); ***** test model = stk_model('stk_gausscov_aniso', 3); ***** test model = stk_model('stk_sphcov_iso'); ***** test model = stk_model('stk_sphcov_iso', 1); ***** test model = stk_model('stk_sphcov_iso', 3); ***** test model = stk_model('stk_sphcov_aniso'); ***** test model = stk_model('stk_sphcov_aniso', 1); ***** test model = stk_model('stk_sphcov_aniso', 3); 37 tests, 37 passed, 0 known failure, 0 skipped [inst/model/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/@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/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/stk_predict.m] >>>>> /<>/inst/model/@stk_model_gpposterior/stk_predict.m ***** shared n, m, M_post, M_prior, x0, x_obs, z_obs, x_prd, y_prd, idx_obs, idx_prd n = 10; % number of observations m = n + 1; % number of predictions d = 1; % dimension of the input space x0 = (linspace (0, pi, n + m))'; idx_obs = (2:2:(n+m-1))'; idx_prd = (1:2:(n+m))'; x_obs = x0(idx_obs); z_obs = sin (x_obs); x_prd = x0(idx_prd); M_prior = stk_model ('stk_materncov32_iso'); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error y_prd = stk_predict (M_post); ***** test y_prd = stk_predict (M_post, x_prd); ***** error y_prd = stk_predict (M_post, [x_prd x_prd]); ***** test % nargout = 2 [y_prd1, lambda] = stk_predict (M_post, x_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); assert (isequal (size (lambda), [n m])); ***** test % nargout = 3 [y_prd1, lambda, mu] = stk_predict (M_post, x_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging ***** test % nargout = 4 [y_prd1, lambda, mu, K] = stk_predict (M_post, x_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging assert (isequal (size (K), [m m])); ***** test % nargout = 2, compute only variances M_post1 = stk_model_gpposterior (M_prior, x_obs, []); [y_prd_nan, lambda] = stk_predict (M_post1, x_prd); assert (isequal (size (lambda), [n m])); assert (all (isnan (y_prd_nan.mean))); ***** test % discrete model (prediction indices provided) M_prior1 = stk_model ('stk_discretecov', M_prior, x0); M_post1 = stk_model_gpposterior (M_prior1, idx_obs, z_obs); y_prd1 = stk_predict (M_post1, idx_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); ***** test % discrete model (prediction indices *not* provided) M_prior1 = stk_model ('stk_discretecov', M_prior, x0); M_post1 = stk_model_gpposterior (M_prior1, idx_obs, z_obs); y_prd1 = stk_predict (M_post1, []); % predict them all! assert (stk_isequal_tolrel (y_prd, y_prd1(idx_prd, :))); 9 tests, 9 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/stk_model_gpposterior.m] >>>>> /<>/inst/model/@stk_model_gpposterior/stk_model_gpposterior.m ***** test stk_test_class ('stk_model_gpposterior') ***** shared M_prior, x_obs, z_obs x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model ('stk_materncov32_iso'); M_prior.param = log ([1.0; 2.1]); ***** test M_post = stk_model_gpposterior (); ***** test M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error M_post = stk_model_gpposterior (M_prior, x_obs, [z_obs; z_obs]); ***** error M_post = stk_model_gpposterior (M_prior, x_obs, [z_obs; z_obs], 3.441); ***** test % hidden feature kreq = stk_kreq_qr (M_prior, x_obs); M_post = stk_model_gpposterior (M_prior, {x_obs, kreq}, z_obs); ***** test % NaNs in prior_model.param DIM = 1; M = stk_model (@stk_materncov52_aniso, DIM); M.param = nan (2, 1); % this is currently the default x = stk_sampling_regulargrid (20, DIM, [0; 1]); y = sin (double (x)); zp = stk_predict (M, x, y, x); 7 tests, 7 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/get.m] >>>>> /<>/inst/model/@stk_model_gpposterior/get.m ***** shared M_post x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model ('stk_materncov32_iso'); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error value = get (M_post, 1.33); ***** error value = get (M_post, 'dudule'); ***** test value = get (M_post, 'prior_model'); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/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/sampling/@stk_function/stk_function.m] >>>>> /<>/inst/sampling/@stk_function/stk_function.m ***** shared F ***** test F = stk_function () % ending ";" omitted on purpose, to test disp F = ***** error [F F]; % arrays of sampling criterion objects are not supported ***** error [F; F]; % idem ***** error get (F, 'toto'); % field does not exist ***** error y = feval (F, 1.0); % not implemented for "pure" function objects ***** error dummy = F{2}; % illegal indexing ***** error dummy = F(1.0); % feval not implemented ***** error dummy = F.toto; % field does not exist ***** error F{2} = 1.234; % illegal indexing ***** error F(5) = 1.234; % illegal indexing ***** error F.toto = 1.234; % field does not exist 11 tests, 11 passed, 0 known failure, 0 skipped [inst/sampling/@stk_sampcrit_ei/stk_sampcrit_ei.m] >>>>> /<>/inst/sampling/@stk_sampcrit_ei/stk_sampcrit_ei.m ***** shared F, M, EI M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); ***** test F = stk_sampcrit_ei () % ending ";" omitted on purpose, to test disp F = | | model: -- (not instantiated) | current_minimum: Inf | ***** assert (isempty (F.model)) ***** assert (isempty (get (F, 'model'))) ***** assert (F.current_minimum == +inf) ***** assert (get (F, 'current_minimum') == +inf) ***** error F.toto ***** error get (F, 'toto') ***** error F.current_min = 1.234; % read-only ***** error F = set (F, 'current_min', 1.234); % read-only ***** error F.toto = 1.234; % field does not exist ***** error F = set (F, 'toto', 1.234); % field does not exist ***** error EI = feval (F, 1.0); ***** test F = stk_sampcrit_ei (); F.model = M; assert (~ isempty (F.model)); ***** test F = stk_sampcrit_ei (); F = set (F, 'model', M); assert (~ isempty (F.model)); ***** test F.model = []; % remove model assert (isempty (F.model)); assert (F.current_minimum == +inf); ***** test F = stk_sampcrit_ei (M) % ending ";" omitted on purpose, to test disp F = | | model: | current_minimum: 1.234 | ***** assert (isequal (F.model, M)) ***** assert (F.current_minimum == 1.234); ***** test EI = feval (F, [1.0; 1.1; 1.2]); ***** assert (isequal (size (EI), [3 1])) ***** assert (all (EI >= 0)) ***** shared F ***** test F = stk_sampcrit_ei (stk_model ()); ***** assert (F.current_minimum == +inf); ***** error feval (F, 1.0); 24 tests, 24 passed, 0 known failure, 0 skipped [inst/sampling/stk_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_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_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_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_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_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_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_sampling_maximinlhs.m] >>>>> /<>/inst/sampling/stk_sampling_maximinlhs.m ***** shared x, n, dim, box, niter n = 20; dim = 2; box = [0, 0; 1, 1]; niter = 1; ***** error x = stk_sampling_maximinlhs (); ***** test x = stk_sampling_maximinlhs (n); ***** test x = stk_sampling_maximinlhs (n, dim); ***** test x = stk_sampling_maximinlhs (n, dim, box); ***** test x = stk_sampling_maximinlhs (n, dim, box, niter); ***** assert (isa (x, 'stk_dataframe')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_maximinlhs (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:5, x = stk_sampling_randomlhs (n, dim); assert (isequal (size (x), [n dim])); u = double (x); u = u(:); assert (~ any (isnan (u) | isinf (u))); assert ((min (u) >= 0) && (max (u) <= 1)); assert (stk_is_lhs (x, n, dim)); end 9 tests, 9 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_regulargrid.m] >>>>> /<>/inst/sampling/stk_sampling_regulargrid.m ***** shared x, n, dim, box n = 9; dim = 2; box = [0, 0; 1, 1]; ***** error x = stk_sampling_regulargrid (); ***** test x = stk_sampling_regulargrid (n); ***** test x = stk_sampling_regulargrid (n, dim); ***** test x = stk_sampling_regulargrid (n, dim, box); ***** assert (isa (x, 'stk_dataframe')); ***** assert (isa (x, 'stk_factorialdesign')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_regulargrid (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:3, n = 3^dim; x = stk_sampling_regulargrid(n, dim); assert(isequal(size(x), [n dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); end ***** test nn = [3 4 5]; for dim = 1:3, x = stk_sampling_regulargrid(nn(1:dim), dim); assert(isequal(size(x), [prod(nn(1:dim)) dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); end 10 tests, 10 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_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_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_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_sampcrit_eqi/stk_sampcrit_eqi.m] >>>>> /<>/inst/sampling/@stk_sampcrit_eqi/stk_sampcrit_eqi.m ***** shared F, M, EQI M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); ***** test F = stk_sampcrit_eqi () % ending ";" omitted on purpose, to test disp F = | | model: -- (not instantiated) | quantile_order: 0.5 | point_batch_size: 1 | current_minimum: Inf | ***** assert (isempty (F.model)) ***** assert (isempty (get (F, 'model'))) ***** assert (F.quantile_order == 0.5) ***** assert (get (F, 'quantile_order') == 0.5) ***** assert (F.current_minimum == +inf) ***** assert (get (F, 'current_minimum') == +inf) ***** error F.toto ***** error get (F, 'toto') ***** error F.current_min = 1.234; % read-only ***** error F = set (F, 'current_min', 1.234); % read-only ***** error F.toto = 1.234; % field does not exist ***** error F = set (F, 'toto', 1.234); % field does not exist ***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) ***** test F = set (F, 'quantile_order', 0.8); assert (F.quantile_order == 0.8) ***** error F.quantile_order = 1.1; ***** error F.quantile_order = -0.1; ***** error F.quantile_order = [1 2]; ***** error F.current_minimum = 3.333; % read-only ***** error F.quantile_value = 2.222; % read-only ***** error EQI = feval (F, 1.0); ***** test F = stk_sampcrit_eqi (); F.model = M; assert (~ isempty (F.model)); ***** test F = stk_sampcrit_eqi (); F = set (F, 'model', M); assert (~ isempty (F.model)); ***** test F.model = []; % remove model assert (isempty (F.model)); assert (F.current_minimum == +inf); ***** test F = stk_sampcrit_eqi (M) % ending ";" omitted on purpose, to test disp F = | | model: | quantile_order: 0.5 | point_batch_size: 1 | current_minimum: 1.234 | ***** assert (isequal (F.model, M)) ***** assert (stk_isequal_tolrel (F.current_minimum, 1.234, 10 * eps)); ***** test EQI = feval (F, [1.0; 1.1; 1.2]); ***** assert (isequal (size (EQI), [3 1])) ***** assert (all (EQI >= 0)) ***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) ***** shared F, M, EQI prior_model = stk_model (); prior_model.lognoisevariance = 0.678; M = stk_model_gpposterior (prior_model, [1 2 3]', [1.234 3 2]'); ***** test F = stk_sampcrit_eqi (M); ***** assert (isequal (F.model, M)) ***** assert (stk_isequal_tolrel (F.current_minimum, 2.077997, 1e-5)); ***** test EQI = feval (F, [1.0; 1.1; 1.2]); ***** assert (isequal (size (EQI), [3 1])) ***** assert (all (EQI >= 0)) ***** test F.quantile_order = 0.9; assert (F.quantile_order == 0.9) ***** shared F ***** test F = stk_sampcrit_eqi (stk_model ()); ***** assert (F.current_minimum == +inf); ***** error feval (F, 1.0); ***** shared F, M M = stk_model_gpposterior (stk_model (), [1 2 3]', [1.234 3 2]'); ***** error F = stk_sampcrit_eqi (M, [], 0); ***** error F = stk_sampcrit_eqi (M, [], 1.5); ***** error F = stk_sampcrit_eqi (M, [], nan); ***** error F = stk_sampcrit_eqi (M, [], [10 20]); ***** test F = stk_sampcrit_eqi (M, [], 10); ***** assert (isequal (F.quantile_order, 0.5)); ***** assert (isequal (F.point_batch_size, 10)); ***** error F = stk_sampcrit_eqi (M, 0.8, 0); ***** error F = stk_sampcrit_eqi (M, 0.8, 1.5); ***** error F = stk_sampcrit_eqi (M, 0.8, nan); ***** error F = stk_sampcrit_eqi (M, 0.8, [10 20]); ***** test F = stk_sampcrit_eqi (M, 0.8, 5); ***** assert (isequal (F.quantile_order, 0.8)); ***** assert (isequal (F.point_batch_size, 5)); ***** shared F, M, EQI prior_model = stk_model (); prior_model.lognoisevariance = 0.678; M = stk_model_gpposterior (prior_model, [1 2 3]', [1.234 3 2]'); F = stk_sampcrit_eqi (M); ***** test F.point_batch_size = 10; % numeric ***** assert (isequal (F.point_batch_size, 10)) ***** test EQI = feval (F, [1.0; 1.1; 1.2]); ***** test F.point_batch_size = @(x, n) 100 - n; % function handle ***** assert (isa (F.point_batch_size, 'function_handle')) ***** test EQI = feval (F, [1.0; 1.1; 1.2]); ***** test F.point_batch_size = 'sin'; % char ***** assert (isa (F.point_batch_size, 'function_handle')) 63 tests, 63 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampcrit_ehvi_eval.m] >>>>> /<>/inst/sampling/stk_sampcrit_ehvi_eval.m ***** shared zr, zi zr = [1 1]; zi = [0.25 0.75; 0.5 0.5; 0.75 0.25]; ***** test % no improvement (1 computation) zp_mean = [0.6 0.6]; zp_std = [0 0]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, 0, 1e-12)); ***** test % guaranteed improvement (1 computation) zp_mean = [0 0]; zp_std = [0 0]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, 10 * 0.25 ^ 2)); ***** test % no improvement again (2 computations) zp_mean = [0.5 0.5; 0.6 0.6]; zp_std = [0 0; 0 0]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, [0; 0], 1e-12)); ***** test % no observation -> EHVI wrt zr zp_mean = [0.6 0.6]; zp_std = 0.01 * [1 1]; zi = []; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, (1 - 0.6)^2, 1e-12)); ***** test % no observation below zr -> EHVI wrt zr zp_mean = [0.6 0.6]; zp_std = 0.01 * [1 1]; zi = [2 2]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, (1 - 0.6)^2, 1e-12)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/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/stk_dataframe.m] >>>>> /<>/inst/arrays/@stk_hrect/stk_dataframe.m ***** shared x, cn, rn, y, cn2, rn2 cn = {'x' 'y'}; rn = {'lower_bounds'; 'upper_bounds'}; x = stk_hrect ([0 0; 1 1], cn); cn2 = {'xx' 'yy'}; rn2 = {'aa'; 'bb'}; ***** test y = stk_dataframe (x); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, [], rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, {}, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, {})) ***** assert (isequal (y.rownames, rn2)) 20 tests, 20 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/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/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_normalize.m] >>>>> /<>/inst/arrays/@stk_hrect/stk_normalize.m ***** shared x, box, y1, y2, y3, y4 n = 5; box = stk_hrect ([2; 3]); x = 2 + rand (n, 1); ***** error y1 = stk_normalize (); ***** test y2 = stk_normalize (x); ***** test y3 = stk_normalize (x, box); ***** test assert (~ any ((y2 < -10 * eps) | (y2 > 1 + 10 * eps))); ***** test assert (~ any ((y3 < -10 * eps) | (y3 > 1 + 10 * eps))); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/ismember.m] >>>>> /<>/inst/arrays/@stk_hrect/ismember.m ***** shared n, box n = 5; box = stk_hrect (n); ***** assert (ismember (box(1, :), box)) ***** assert (ismember (box(2, :), box)) ***** assert (ismember (.5 * ones (1, 5), box)) ***** assert (~ ismember (box(1, :) - 1, box)) ***** assert (~ ismember (box(2, :) + 1, box)) ***** test y = double (box); y = [y; y + 2]; assert (isequal (ismember (y, box), [1; 1; 0; 0])) 6 tests, 6 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/vertcat.m] >>>>> /<>/inst/arrays/@stk_hrect/vertcat.m ***** shared d, x, y d = 10; x = stk_hrect (d); y = double (x); ***** test z = vertcat (x, x); assert (isequal (size (z), [4 d])); assert (strcmp (class (z), 'stk_dataframe')); ***** test z = vertcat (x, y); assert (isequal (size (z), [4 d])); assert (strcmp (class (z), 'stk_dataframe')); ***** test z = vertcat (y, x); assert (isequal (size (z), [4 d])); assert (strcmp (class (z), 'stk_dataframe')); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_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/generic/stk_boundingbox.m] >>>>> /<>/inst/arrays/generic/stk_boundingbox.m ***** shared x, y, cn cn = {'a', 'b', 'c'}; x = [0 3 2; 1 4 1; 7 0 2]; ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y.data, [0 0 1; 7 4 2])); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_length.m] >>>>> /<>/inst/arrays/generic/stk_length.m ***** assert (isequal (stk_length ([1 2; 3 4; 5 6]), 3)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_rescale.m] >>>>> /<>/inst/arrays/generic/stk_rescale.m ***** shared x x = rand (10, 4); y = stk_rescale (x, [], []); assert (stk_isequal_tolabs (x, y)); ***** test y = stk_rescale(0.5, [], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 1], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 2], []); assert (stk_isequal_tolabs (y, 0.25)); ***** test y = stk_rescale (0.5, [0; 2], [0; 1]); assert (stk_isequal_tolabs (y, 0.25)); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_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/@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); : -------- -------- * : 0.030267 0.030803 * : 0.038923 0.622483 * : 0.747801 0.335622 ***** test format long; disp (x); : ---------------- ---------------- * : 0.03026670285877 0.03080306484804 * : 0.03892342070978 0.62248312730258 * : 0.74780083998809 0.33562185228472 ***** test format short; disp (x); format (fmt); : -------- -------- * : 0.030267 0.030803 * : 0.038923 0.622483 * : 0.747801 0.335622 ***** 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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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_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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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); : -------- -------- * : 0.789007 0.416862 * : 0.699422 0.243142 * : 0.517862 0.734654 ***** test format long; disp (x); : ---------------- ---------------- * : 0.78900726680568 0.41686246071250 * : 0.69942203552543 0.24314162858385 * : 0.51786197036726 0.73465369565956 ***** test format short; disp (x); format (fmt); : -------- -------- * : 0.789007 0.416862 * : 0.699422 0.243142 * : 0.517862 0.734654 ***** 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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/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/display.m] >>>>> /<>/inst/arrays/@stk_dataframe/display.m ***** test display (stk_dataframe (rand (3, 2))); = <3x2 stk_dataframe array> : -------- -------- * : 0.473857 0.505711 * : 0.180493 0.145400 * : 0.399031 0.378274 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/transpose.m] >>>>> /<>/inst/arrays/@stk_dataframe/transpose.m ***** test u = rand(3, 2) + 1i * rand(3, 2); data = stk_dataframe(u, {'x' 'y'}, {'obs1'; 'obs2'; 'obs3'}); data = data.'; assert (isa(data, 'stk_dataframe') && isequal(double(data), u.')); assert (isequal(data.rownames, {'x'; 'y'})); assert (isequal(data.colnames, {'obs1' 'obs2' 'obs3'})); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/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/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/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/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/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/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/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/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/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/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_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_boundingbox.m] >>>>> /<>/inst/arrays/@stk_factorialdesign/stk_boundingbox.m ***** shared x, y, cn cn = {'a', 'b', 'c'}; x = stk_factorialdesign ({[1 2], [3 4 5], [0 2 8]}, cn); ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y, stk_hrect ([1 3 0; 2 5 8], cn))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_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/stk_dataframe.m] >>>>> /<>/inst/arrays/@stk_factorialdesign/stk_dataframe.m ***** shared x, cn, rn, y, cn2, rn2 cn = {'x' 'y'}; rn = {'a'; 'b'; 'c'; 'd'}; x = stk_factorialdesign ({1:2, 1:2}, cn, rn); cn2 = {'xx' 'yy'}; rn2 = {'aa'; 'bb'; 'cc'; 'dd'}; ***** test y = stk_dataframe (x); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, [], rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, {}, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, {})) ***** assert (isequal (y.rownames, rn2)) 20 tests, 20 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/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_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/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/misc/parallel/@stk_parallel_engine_parfor/stk_parallel_engine_parfor.m] >>>>> /<>/inst/misc/parallel/@stk_parallel_engine_parfor/stk_parallel_engine_parfor.m ***** test if exist ('matlabpool') || exist ('parpool') stk_test_class ('stk_parallel_engine_parfor') end 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/parallel/@stk_parallel_engine_none/stk_parallel_engine_none.m] >>>>> /<>/inst/misc/parallel/@stk_parallel_engine_none/stk_parallel_engine_none.m ***** test stk_test_class ('stk_parallel_engine_none') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/design/stk_phipcrit.m] >>>>> /<>/inst/misc/design/stk_phipcrit.m ***** shared x x = [0, 0.2, 0.4, 0.6, 0.8, 1.0; 0, 0.6, 0.8, 1.0, 0.2, 0.4]'; ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 10), 3.946317664423303, 1e-15)) ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 50), 3.614077252813102, 1e-15)); ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 100), 3.574589859827413, 1e-15)); ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 1e9), 1 / stk_mindist (x), 1e-8)); ***** assert (isequal (stk_phipcrit (ones (2)), Inf)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/misc/design/stk_maxabscorr.m] >>>>> /<>/inst/misc/design/stk_maxabscorr.m ***** assert (stk_isequal_tolabs (0.0, ... % Test on an OLHS(5) stk_maxabscorr ([0.4 0.8 0 -0.4 -0.8; -0.8 0.4 0 0.8 -0.4]'))); 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_student_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_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_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_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_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_cdf.m] >>>>> /<>/inst/misc/distrib/stk_distrib_student_cdf.m ***** assert (stk_isequal_tolrel ( ... stk_distrib_student_cdf ([-1; 0; 1], [1 2], 0, [1 10]), ... [0.25, ... % tcdf ((-1 - 0)/1, 1) 4.6473271920707004e-01; ... % tcdf ((-1 - 0)/10, 2) 0.50, ... % tcdf (( 0 - 0)/1, 1) 0.50; ... % tcdf (( 0 - 0)/10, 2) 0.75, ... % tcdf (( 1 - 0)/1, 1) 5.3526728079292996e-01 ... % tcdf (( 1 - 0)/10, 2) ], 4 * eps)) ***** test [p, q] = stk_distrib_student_cdf (1e10, 2); assert (isequal (p, 1.0)); assert (stk_isequal_tolrel (q, 4.999999999999999999925e-21, 10 * eps)); ***** assert (isequal (stk_distrib_student_cdf (0.0, 1), 0.5)); ***** assert (isequal (stk_distrib_student_cdf (inf, 1), 1.0)); ***** assert (isequal (stk_distrib_student_cdf (-inf, 1), 0.0)); ***** assert (isnan (stk_distrib_student_cdf (nan, 1))); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_normal_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_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/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/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_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/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/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.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_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/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_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_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_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_minimize_unconstrained.m] >>>>> /<>/inst/misc/optim/stk_minimize_unconstrained.m ***** test % Call fminsearch using function name if stk_optim_isavailable ('fminsearch') assert (stk_optim_testmin_unc ('fminsearch')); end ***** test % Call fminsearch directly, using algorithm object if stk_optim_isavailable ('fminsearch') algo = stk_optim_fminsearch ('TolX', 1e-12, 'TolFun', 1e-12); assert (stk_optim_testmin_unc (algo)); end ***** test % Call sqp using function name if stk_optim_isavailable ('octavesqp') assert (stk_optim_testmin_unc ('octavesqp')); end ***** test % Call sqp directly, using algorithm object if stk_optim_isavailable ('octavesqp') algo = stk_optim_octavesqp (); assert (stk_optim_testmin_unc (algo)); end ***** error assert (stk_optim_testmin_unc ('InexistentOptimizer')); ***** error assert (stk_optim_testmin_unc (100)); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/optim/@stk_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_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/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/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_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/dist/stk_filldist_discretized.m] >>>>> /<>/inst/misc/dist/stk_filldist_discretized.m ***** error stk_filldist_discretized(0.0) % incorrect nb of arguments ***** error stk_filldist_discretized(0.0, []) % second arg is empty ***** error stk_filldist_discretized([], 0.0) % first arg is empty ***** test d = 3; x = rand(7, d); y = rand(20, d); fd1 = stk_filldist_discretized(x, y); fd2 = stk_filldist_discretized(stk_dataframe(x), stk_dataframe(y)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test n = 5; for dim = 1:10, x = rand(n, dim); fd = stk_filldist_discretized(x, x); assert(stk_isequal_tolabs(fd, 0.0)); end ***** test for dim = 1:10, x = rand(1, dim); y = rand(1, dim); fd = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, norm(x - y))); end ***** test n = 4; for dim = 2:10, x = zeros(n, dim); y = rand(1, dim); fd = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, max(stk_dist(x, y)))); end ***** test for dim = [1 3 6], x = 0.5 * ones(1, dim); y = stk_sampling_regulargrid(2^dim, dim); % [0; 1]^d is the default box fd = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], x = zeros(1, dim); y = stk_sampling_regulargrid(3^dim, dim); [fd, ymax] = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end 9 tests, 9 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_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_exact.m] >>>>> /<>/inst/misc/dist/stk_filldist_exact.m ***** test d = 3; x = rand(7, d); box = repmat([0; 1], 1, d); fd1 = stk_filldist_exact(x, box); fd2 = stk_filldist_exact(stk_dataframe(x), stk_dataframe(box)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test for dim = 1:6, x = 0.5 * ones(1, dim); fd = stk_filldist_exact(x); % [0; 1]^d is the default box assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], box = repmat([1; 2], 1, dim); x = 1 + 0.5 * ones(1, dim); fd = stk_filldist_exact(x, box); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], x = zeros(1, dim); [fd, ymax] = stk_filldist_exact(x); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end 4 tests, 4 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_gpquadform.m] >>>>> /<>/inst/misc/dist/stk_gpquadform.m ***** shared x, y, z, rx, ry, rz x = rand(5, 2); rx = rand(5, 2) + 1; y = rand(6, 2); ry = rand(6, 2) + 1; z = rand(5, 3); rz = rand(5, 3) + 1; ***** error Q = stk_gpquadform(x, ry, y, ry) ***** error Q = stk_gpquadform(x, rz, y, ry) ***** error Q = stk_gpquadform(x, rx, y, rx) ***** error Q = stk_gpquadform(x, rx, y, rz) ***** error Q = stk_gpquadform(x, rx, z, ry) ***** shared x, y, z, rx, ry, rz x = zeros (11, 5); rx = 1/sqrt(2) * ones (11, 5); y = zeros (13, 5); ry = 1/sqrt(2) * ones (13, 5); z = ones ( 7, 5); rz = 1/sqrt(2) * ones ( 7, 5); ***** test Qx = stk_gpquadform(x, [], rx); assert(isequal(Qx, zeros(11))); ***** test Qxx = stk_gpquadform(x, x, rx, rx); assert(isequal(Qxx, zeros(11))); ***** test Qxy = stk_gpquadform(x, y, rx, ry); assert(isequal(Qxy, zeros(11, 13))); ***** test Qzz = stk_gpquadform(z, [], rz); assert(isequal(Qzz, zeros(7))); ***** test Qxz = stk_gpquadform(x, z, rx, rz); assert(stk_isequal_tolabs(Qxz, 5 * ones(11, 7))); ***** test x = randn(5, 3); rx = 1 + rand(5, 3); y = randn(5, 3); ry = 1 + rand(5, 3); Q1 = stk_gpquadform(x, y, rx, ry, true); % pairwise Q2 = stk_gpquadform(x, y, rx, ry, false); assert(isequal(size(Q1), [5 1])); assert(isequal(size(Q2), [5 5])); assert(stk_isequal_tolabs(Q1, diag(Q2))); ***** test x = randn(5, 3); rx = 1 + rand(5, 3); Q1 = stk_gpquadform(x, [], rx, [], true); % pairwise assert(stk_isequal_tolabs(Q1, zeros(5, 1))); Q1 = stk_gpquadform(x, x, rx, rx, true); % pairwise assert(stk_isequal_tolabs(Q1, zeros(5, 1))); ***** shared x, y, z, rx, ry, rz x = zeros (11, 5); rx = 2 * ones (11, 5); y = zeros (13, 5); ry = 2 * ones (13, 5); z = ones ( 7, 5); rz = 2 * ones ( 7, 5); ***** test Qx = stk_gpquadform(x, [], rx); assert(isequal(Qx, zeros(11))); ***** test Qxx = stk_gpquadform(x, x, rx, rx); assert(isequal(Qxx, zeros(11))); ***** test Qxy = stk_gpquadform(x, y, rx, ry); assert(isequal(Qxy, zeros(11, 13))); ***** test Qzz = stk_gpquadform(z, [], rz); assert(isequal(Qzz, zeros(7))); ***** test Qxz = stk_gpquadform(x, z, rx, rz); assert(stk_isequal_tolabs(Qxz, 5/8 * ones(11, 7))); 17 tests, 17 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_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.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/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/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_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_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_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_sphcov_aniso.m] >>>>> /<>/inst/covfcs/stk_sphcov_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_sphcov_aniso (); ***** error K0 = stk_sphcov_aniso (param); ***** error K0 = stk_sphcov_aniso (param, x); ***** test K1 = stk_sphcov_aniso (param, x, y); ***** test K2 = stk_sphcov_aniso (param, x, y, -1); ***** test K3 = stk_sphcov_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_sphcov_aniso (param, u, v, -1); K2 = stk_sphcov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); assert (isequal (K1, K2)); ***** error stk_sphcov_aniso (param, x, y, -2); ***** test stk_sphcov_aniso (param, x, y, -1); ***** error stk_sphcov_aniso (param, x, y, 0); ***** test stk_sphcov_aniso (param, x, y, 1); ***** test stk_sphcov_aniso (param, x, y, 2); ***** error stk_sphcov_aniso (param, x, y, 3); ***** error stk_sphcov_aniso (param, x, y, nan); ***** error stk_sphcov_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_sphcov_aniso (param, x, y); K2 = stk_sphcov_aniso (param, x, y, -1); assert (isequal (size(K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_sphcov_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_sphcov_aniso (param, x, y); K2 = stk_sphcov_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_sphcov_aniso (param, x, y, i); dK2 = stk_sphcov_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov32_iso.m] >>>>> /<>/inst/covfcs/stk_materncov32_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error stk_materncov32_iso (); ***** error stk_materncov32_iso (param); ***** error stk_materncov32_iso (param, x); ***** test stk_materncov32_iso (param, x, y); ***** test stk_materncov32_iso (param, x, y, -1); ***** test stk_materncov32_iso (param, x, y, -1, false); ***** error stk_materncov32_iso (param, x, y, -2); ***** test stk_materncov32_iso (param, x, y, -1); ***** error stk_materncov32_iso (param, x, y, 0); ***** test stk_materncov32_iso (param, x, y, 1); ***** test stk_materncov32_iso (param, x, y, 2); ***** error stk_materncov32_iso (param, x, y, 3); ***** error stk_materncov32_iso (param, x, y, nan); ***** error stk_materncov32_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov32_iso (param, x, y); K2 = stk_materncov32_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_materncov32_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_materncov32_iso (param, x, y); K2 = stk_materncov32_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_materncov32_iso (param, x, y, i); dK2 = stk_materncov32_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 17 tests, 17 passed, 0 known failure, 0 skipped [inst/covfcs/stk_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_gausscov_aniso.m] >>>>> /<>/inst/covfcs/stk_gausscov_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_gausscov_aniso (); ***** error K0 = stk_gausscov_aniso (param); ***** error K0 = stk_gausscov_aniso (param, x); ***** test K1 = stk_gausscov_aniso (param, x, y); ***** test K2 = stk_gausscov_aniso (param, x, y, -1); ***** test K3 = stk_gausscov_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_gausscov_aniso (param, u, v, -1); K2 = stk_gausscov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); ***** error stk_gausscov_aniso (param, x, y, -2); ***** test stk_gausscov_aniso (param, x, y, -1); ***** error stk_gausscov_aniso (param, x, y, 0); ***** test stk_gausscov_aniso (param, x, y, 1); ***** test stk_gausscov_aniso (param, x, y, 2); ***** error stk_gausscov_aniso (param, x, y, 3); ***** error stk_gausscov_aniso (param, x, y, nan); ***** error stk_gausscov_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_gausscov_aniso (param, x, y); K2 = stk_gausscov_aniso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_gausscov_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_gausscov_aniso (param, x, y); K2 = stk_gausscov_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_gausscov_aniso (param, x, y, i); dK2 = stk_gausscov_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_expcov_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_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_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_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_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/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_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_gauss.m] >>>>> /<>/inst/covfcs/rbf/stk_rbf_gauss.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_gauss (); ***** test stk_rbf_gauss (h); ***** test stk_rbf_gauss (h, diff); ***** test % h = 0.0 => correlation = 1.0 x = stk_rbf_gauss (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_matern52.m] >>>>> /<>/inst/covfcs/rbf/stk_rbf_matern52.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_matern52 (); ***** test stk_rbf_matern52 (h); ***** test stk_rbf_matern52 (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_matern52 (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% consistency with stk_rbf_matern: function values for h = 0.1:0.1:2.0, x = stk_rbf_matern (5/2, h); y = stk_rbf_matern52 (h); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** test %% consistency with stk_rbf_matern: derivatives for h = 0.1:0.1:2.0, x = stk_rbf_matern (5/2, h, 2); y = stk_rbf_matern52 (h, 1); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** assert (stk_rbf_matern52 (inf) == 0) 7 tests, 7 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_matern32.m] >>>>> /<>/inst/covfcs/rbf/stk_rbf_matern32.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_matern32 (); ***** test stk_rbf_matern32 (h); ***** test stk_rbf_matern32 (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_matern32 (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% consistency with stk_rbf_matern: function values for h = 0.1:0.1:2.0, x = stk_rbf_matern (3/2, h); y = stk_rbf_matern32 (h); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** test %% consistency with stk_rbf_matern: derivatives for h = 0.1:0.1:2.0, x = stk_rbf_matern (3/2, h, 2); y = stk_rbf_matern32 (h, 1); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** assert (stk_rbf_matern32 (inf) == 0) 7 tests, 7 passed, 0 known failure, 0 skipped [inst/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 = 1.0477e-19 ***** 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 = 1.94264e-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_init_lnv.m] >>>>> /<>/inst/param/estim/stk_param_init_lnv.m ***** test f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); ni = 20; xi = (linspace (-1, 1, ni))' + 0.2 * (randn (ni, 1)); zi = stk_feval (f, xi); model = stk_model ('stk_materncov_iso'); model.param = log ([1; 5/2; 1/0.4]); model.lognoisevariance = nan; lnv = stk_param_init_lnv (model, xi, zi); assert ((isscalar (lnv)) && (lnv > -30) && (lnv < 30)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_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_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/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_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_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_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_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_cubic/stk_lm_cubic.m] >>>>> /<>/inst/lm/@stk_lm_cubic/stk_lm_cubic.m ***** test stk_test_class ('stk_lm_cubic') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_cubic/feval.m] >>>>> /<>/inst/lm/@stk_lm_cubic/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_cubic (), x); assert (isequal (size (P), [n, 1 + d * (11 + d * (6 + d)) / 6])) 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_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_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/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_kb08.m] >>>>> /<>/inst/examples/01_kriging_basics/stk_example_kb08.m ***** test stk_example_kb08; close all; #========================# # stk_example_kb08 # #========================# 'stk_example_kb08' is a script from the file /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/examples/01_kriging_basics/stk_example_kb08.m STK_EXAMPLE_KB08 Generation of conditioned sample paths made easy It has been demonstrated, in stk_example_kb05, how to generate conditioned sample paths using unconditioned sample paths and conditioning by kriging. This example shows how to do the same in a more concise way, letting STK take care of the details. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_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_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_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_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_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_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_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_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/03_miscellaneous/stk_example_misc02.m] >>>>> /<>/inst/examples/03_miscellaneous/stk_example_misc02.m ***** test stk_example_misc02; close all; #==========================# # stk_example_misc02 # #==========================# 'stk_example_misc02' is a script from the file /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/examples/03_miscellaneous/stk_example_misc02.m STK_EXAMPLE_MISC02 How to use priors on the covariance parameters A Matern covariance in dimension one is considered as an example. A Gaussian prior is used for all three parameters: log-variance, log-regularity and log- inverse-range. The corresponding parameter estimates are Maximum A Posteriori (MAP) estimates or, more precisely, Restricted MAP (ReMAP) estimates. Several values for the variance of the prior are successively considered, to illustrate the effect of this prior variance on the parameter estimates. When the variance is small, the MAP estimate is close to the mode of the prior. On the other hand, when the variance is large, the prior becomes "flat" and the MAP estimate is close to the ReML estimate (see figure b). Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. prior std = 10.00 prior std = 1.00 3 |-+ 4 |-+ #### |%%## ####%%%% 3 |-+# ##%%%%% 2 |-+&&&%&&&%# #%&&&&&&&& 2 |-+&&% #%%% %%&&&&&&& 1 |-+X==GG==&&%###&&&XXXXXX& 1 |-+X&&GG==&&% &&&&XXXXX& |====&&&&====G=G=====predicted outp|======&&====G=G========== 0 |-+&&& %&&&&&&&&&&XXXXXX& 0 |-+&&& %&&&&&&&&&&XXXXXX& -1 |-+%# #### #%&&&&&&&& -1 |-+%# #%&&&&&&&& |# + + + ##+####+ -2 |-+ + + + ##+%%%%+ -2 |------------------------- -3 |------------------------- 0 prior std = 0.20.8 1 0 prior std = 0.01.8 1 input x input x 6 |-+ 6 |-+ | ### | # 4 |-+ #%%%%%% 4 |-+ #%%%%% 2 |-+%# #&&% %&&&&&&&& 2 |-+ %%# #&&&&&&&& |X&&==GG=====&&======predicted outp|&&&&=GG=====#%=========== 0 |-+==& %&&=G=G&&&&XXXXX& 0 |-+=== %&=G=G&&&&&&XXX& -2 |-+&% #%&&&&&&& -2 |-+&# #%%&&&&& |%# + + + +#%%%+ |## + + + +###%+ -4 |------------------------- -4 |------------------------- 0 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 1 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_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_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 = 1.5466 -1.7424 lognoisevariance = -4.6182 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 = -8.0625 -1.9030 lognoisevariance = -4.6271 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc01.m] >>>>> /<>/inst/examples/03_miscellaneous/stk_example_misc01.m ***** test stk_example_misc01; close all; #==========================# # stk_example_misc01 # #==========================# 'stk_example_misc01' is a script from the file /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/examples/03_miscellaneous/stk_example_misc01.m STK_EXAMPLE_MISC01 Several correlation functions from the Matern family The Matern 1/2 correlation function is also known as the "exponential correla- tion function". This is the correlation function of an Ornstein-Ulhenbeck pro- cess. The Matern covariance function tends to the Gaussian correlation function when its regularity (smoothness) parameter tends to infinity. See also: stk_materncov_iso, stk_materncov_aniso Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc04.m] >>>>> /<>/inst/examples/03_miscellaneous/stk_example_misc04.m ***** test stk_example_misc04; close all; #==========================# # stk_example_misc04 # #==========================# 'stk_example_misc04' is a script from the file /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/examples/03_miscellaneous/stk_example_misc04.m STK_EXAMPLE_MISC04 Pareto front simulation DESCRIPTION We consider a bi-objective optimization problem, where the objective functions are modeled as a pair of independent stationary Gaussian processes with a Matern 5/2 anisotropic covariance function. Figure (a): represent unconditional realizations of the Pareto front and and estimate of the probability of being non-dominated at each point of the objective space. Figure (b): represent conditional realizations of the Pareto front and and estimate of the posteriorior probability of being non-dominated at each point of the objective space. EXPERIMENTAL FUNCTION WARNING This script uses the stk_plot_probdom2d function, which is currently considered an experimental function. Read the help for more information. REFERENCE [1] Michael Binois, David Ginsbourger and Olivier Roustant, Quantifying uncertainty on Pareto fronts with Gaussian Process conditional simu- lations, European J. of Operational Research, 2043(2):386-394, 2015. See also: stk_plot_probdom2d Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. simulated Pareto fronts Proba. of being dominated |------------------------| 1000 +---++--+-+--++---+ +||100% |+ =& %$% & *$@@@@@@@@| | | | | | | | | || 600 |-+ =& %$% & *$@ % #$=-| + + + + + + + + || | =& %$% & *$@@@@@@=@| | | || 400 |-+ ======$%$&$$$$$$$$$$$| | | || | & % % &#*###%##$=#| 500 +---+ +---+ +||75% | & % % & *$ % #$= | | | || 200 |-+ &&&&&&%&&&*&&&%&&$=&| | | || | % % &&&&&&&&&&&&| | | || 0 |-+ % %*#&**$$%$$second objective---+ +---+ +||50% | % % ###&&&&&&&=&| | | || | % % ##########| | | || -200 |-+ % % % #$+-| | | || | %%%%%%%%%%%%%%%%| -500 +---+ +---+ || -400 |-+ % $$$| | | +||25% | %*************| | | || -600 |-+ %%%%%%%%%%%%%%| + + + + + + + + || | | | | | | | | | | || |+ + + + + + | -1000 +---++--+-+--++---+ || -800 |------------------------| -4-30-20-1000100203000+||0% -300-200-1000 0 10002000 first objective 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testcase_truss3.m] >>>>> /<>/inst/examples/test_functions/stk_testcase_truss3.m ***** shared tc, xd, n tc = stk_testcase_truss3 (); n = 5; xd = stk_sampling_randunif (n, [], tc.search_domain); ***** test v = stk_testfun_truss3_vol (xd, tc.constants); z = stk_testfun_truss3_bb (xd, tc.constants); assert (isequal (size (v), [n 1])); assert (isequal (size (z), [n 5])); ***** test F = stk_dataframe (zeros (n, 2), {'F1' 'F2'}); F(:, 1) = tc.constants.F1_mean + tc.constants.F1_std * randn (n, 1); F(:, 2) = tc.constants.F2_mean + tc.constants.F2_std * randn (n, 1); x = [xd F]; v = stk_testfun_truss3_vol (x, tc.constants); z = stk_testfun_truss3_bb (x, tc.constants); assert (isequal (size (v), [n 1])); assert (isequal (size (z), [n 5])); 2 tests, 2 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testfun_goldsteinprice.m] >>>>> /<>/inst/examples/test_functions/stk_testfun_goldsteinprice.m ***** test % Use with nargin == 0 for visualisation stk_testfun_goldsteinprice (); close all; ***** assert (stk_isequal_tolabs ... (stk_testfun_goldsteinprice ([0, -1]), 3.0, 1e-12)) 2 tests, 2 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe01.m] >>>>> /<>/inst/examples/02_design_of_experiments/stk_example_doe01.m ***** test stk_example_doe01; close all; #=========================# # stk_example_doe01 # #=========================# 'stk_example_doe01' is a script from the file /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/examples/02_design_of_experiments/stk_example_doe01.m STK_EXAMPLE_DOE01 Examples of two-dimensional designs All designs are constructed on the hyper-rectangle BOX = [0; 2] x [0; 4]. Examples of the following designs are shown: a) Regular grid --> stk_sampling_regulargrid, b) "Maximin" latin hypercube sample --> stk_sampling_maximinlhs, c) RR2-scrambled Halton sequence --> stk_sampling_halton_rr2, d) Uniformly distributed random sample --> stk_sampling_randunif. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe05.m] >>>>> /<>/inst/examples/02_design_of_experiments/stk_example_doe05.m ***** test stk_example_doe05; close all; #=========================# # stk_example_doe05 # #=========================# 'stk_example_doe05' is a script from the file /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/examples/02_design_of_experiments/stk_example_doe05.m STK_EXAMPLE_DOE05 A simple illustration of 1D Bayesian optimization Our goal here is to minimize the one-dimensional function x |--> x * sin (x) over the interval [0; 4 * pi], using noisy evaluations. Evaluations points are chosen sequentially using either AKG criterion (default) or the EQI criterion (set SAMPCRIT_NAME to 'EQI'); Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. 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 |-+&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&====XX******G**&&&&&&&%## z 0 |-+************G**************G********XX&&&&&=******X&&&&&%% -5 |-+&&&XXXXX&&&&&&&=============&&&&&&&&&&&%%%%%&===&X******&& |#%%%&&&&&&&%%%%%%&&&&&&&&&%%%########### ##===&&&&&**G -10 |-+ ###+ +##### + + + #======&+ -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.04 |-----------------------------------------------------------| 0.035 |-+ + + F* + + + +-| 0.03 |-+ * ** +-| 0.025 |-+ ** * +-| AKG 0.02 |-+ *** ** * ** +-| 0.015 |-+ ** ** * ** ****+-| 0.01 |-+ * * * ** ** *+-| 0.005 |-+** + ** ** + ** + + + ** *-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 15 |-+ 10 |-+ ######### |####%%%%%### #%%&========&&%## 5 |-+&&&&&&&&&&&&%## 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10 |-+%%&&&&&%%## #%&&&&====&&&%## |&&&&&XXXX&&&&&%%%%## #%%%%&&&======******G*&&% z 0 |-+************G**==&&&&&&&&**G*********XX&&&&****&% |&&&&XXXXXXX&&&&&*****G*****==&&&&&&&&&&&&&%##%&&***GG G&*G -10 |-+%&&&&&&&&%%###%&&&&%&&&&&%####%%%%%%%%## #%=GG*GGGGGG | ######+# + + #### + + G%G&G + -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 20 |-+ | ###### ##%%%%%%## 10 |-+%%&&&&&%%%# #%&&&&====&&&%## |&&&&&XXXX&&&&&%%%%## #%%%%&&&======******G*&&% z 0 |-+************G**==&&&&&&&&**G*********XX&&&&****&% |&&&&XXXXXXX&&&&&*****G*****==&&&&&&&&&&&&&%##%&&***GG G&*G -10 |-+%&&&&&&&&%%###%&&&&%&&&&&%####%%%%%%%%## #%=GGGGGGGGG | ######+# + + #### + + G#G%G + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.03 |-----------------------------------------------------------| 0.025 |-+ + + + + + *F +-| | ** ** | 0.02 |-+ ** **+-| AKG0.015 |-+ * ** *-| 0.01 |-+ **** * ** *-| | ** ** * ** * | 0.005 |-+ ** ** + + ** + *** * * *-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 20 |-+ | ###### ##%%%%%%## 10 |-+%%%&&&&%%## #%&&&&====&&&%# |&&&&&XXX&&&&&&%%%### ##%%%&&&======******G*&&% z 0 |-+************G**==&&&&&&&&**G********XXX&&&&****&% |&&&&XXXXXX&&&&&&*****G*****==&&&&&&&&&&&&&%##%&&***GG G&*G -10 |-+%&&&&&&&&%%###%&&&&%&&&&&%####%%%%%%%## #%=GGGGGGGGG | ######+# + + + + G#G%G + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.025 |-----------------------------------------------------------| | + + + + + | 0.02 |-+ *F **+-| 0.015 |-+ ** **+-| AKG | ** * * | 0.01 |-+ ** * ** *-| 0.005 |-+ ** ** * ** *-| | * ** + + + + * * * | 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 20 |-+ | ###### ##%%%%%%## 10 |-+%%%&&&&%%## #%&&&&====&&&%## |&&&&&XXX&&&&&&%%%### ##%%%&&&======******G*&&% z 0 |-+************G**==&&&&&&&&**G********XXX&&&&****&% |&&&&XXXXXX&&&&&&*****G*****==&&&&&&&&&&&&&%##%&&***GG G&*G -10 |-+%&&&&&&&&%%###%&&&&%&&&&&%####%%%%%%%## #%=GGGGGGGGG | ######+# + + + + GGG#G + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.012 |-----------------------------------------------------------| 0.01 |-+ + + + + + F *+-| | ** ** ** | 0.008 |-+ **** ** **+-| AKG0.006 |-+ * * ** **+-| 0.004 |-+ * * ** **+-| | * * * ** * | 0.002 |-+ ** +* + + **** + + * ** *-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 20 |-+ | ###### ##%%%%%%## 10 |-+%%%&&&&%%## #%&&&&====&&&%# |&&&&&XXX&&&&&&%%%### ##%%%&&&======******G*&&% z 0 |-+************G**==&&&&&&&&**G********XXX&&&&****&% |&&&&XXXXXX&&&&&&*****G*****==&&&&&&&&&&&&&%##%&&***GGG G%*G -10 |-+%&&&&&&&&%%###%&&&&%&&&&&%####%%%%%%%## #%=GGGGGGGGG | ######+# + + + + GGG#G + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.02 |-----------------------------------------------------------| | + + + + + ** ** | 0.015 |-+ ** **+-| | ** ** | AKG 0.01 |-+ ** * ** *-| | **** * ** * | 0.005 |-+ ** ** * ** *-| | ** ** + + + + * * * | 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 : x z init001 : 0.00000 -0.3150 init002 : 3.00000 -1.4339 init003 : 6.00000 -0.8958 init004 : 9.00000 4.0166 init005 : 12.00000 -7.6170 xg(075) : 4.46231 -6.5042 xg(200) : 12.00000 -4.2469 xg(075) : 4.46231 -3.4700 xg(200) : 12.00000 -7.1285 xg(187) : 11.21608 -10.5631 xg(182) : 10.91457 -14.6149 xg(172) : 10.31156 -8.8448 xg(172) : 10.31156 -6.2638 xg(172) : 10.31156 -5.0412 xg(196) : 11.75879 -7.8144 xg(193) : 11.57789 -8.5103 xg(177) : 10.61307 -11.1711 xg(192) : 11.51759 -11.6964 xg(177) : 10.61307 -6.5406 xg(192) : 11.51759 -9.6500 xg(177) : 10.61307 -10.4762 xg(192) : 11.51759 -10.9226 xg(178) : 10.67337 -9.7513 xg(192) : 11.51759 -8.7342 xg(178) : 10.67337 -9.7422 xg(192) : 11.51759 -10.6086 xg(177) : 10.61307 -10.8687 xg(192) : 11.51759 -7.5692 xg(178) : 10.67337 -10.9696 xg(191) : 11.45729 -10.7089 xg(178) : 10.67337 -10.1127 xg(191) : 11.45729 -10.9661 xg(178) : 10.67337 -11.5213 xg(191) : 11.45729 -11.6724 xg(178) : 10.67337 -8.8409 xg(191) : 11.45729 -9.8534 xg(178) : 10.67337 -12.9651 xg(191) : 11.45729 -13.8249 xg(178) : 10.67337 -7.0581 xg(191) : 11.45729 -7.4516 xg(178) : 10.67337 -12.7100 xg(191) : 11.45729 -12.1170 xg(191) : 11.45729 -9.6924 xg(178) : 10.67337 -7.6646 xg(191) : 11.45729 -7.9510 xg(178) : 10.67337 -9.2034 xg(191) : 11.45729 -10.6606 xg(178) : 10.67337 -10.2497 xg(191) : 11.45729 -10.2324 xg(178) : 10.67337 -6.8373 xg(191) : 11.45729 -10.2629 xg(178) : 10.67337 -8.8015 xg(191) : 11.45729 -6.7880 xg(178) : 10.67337 -13.4130 xg(191) : 11.45729 -10.3416 xg(178) : 10.67337 -14.0637 xg(191) : 11.45729 -10.1878 xg(178) : 10.67337 -13.3690 xg(186) : 11.15578 -11.4203 xg(190) : 11.39698 -9.9864 xg(190) : 11.39698 -12.1375 xg(190) : 11.39698 -11.2101 xg(190) : 11.39698 -5.5059 xg(190) : 11.39698 -8.4364 xg(178) : 10.67337 -11.5216 xg(190) : 11.39698 -10.4108 xg(178) : 10.67337 -9.8273 xg(190) : 11.39698 -9.0955 xg(185) : 11.09548 -12.0383 xg(189) : 11.33668 -11.3143 xg(189) : 11.33668 -12.2854 xg(189) : 11.33668 -9.9247 xg(189) : 11.33668 -13.3627 xg(189) : 11.33668 -11.5338 xg(189) : 11.33668 -14.0657 xg(189) : 11.33668 -11.2704 xg(178) : 10.67337 -9.8381 xg(183) : 10.97487 -9.5578 xg(179) : 10.73367 -11.8061 xg(179) : 10.73367 -9.1516 xg(179) : 10.73367 -11.6824 xg(179) : 10.73367 -11.0997 xg(179) : 10.73367 -11.3552 xg(179) : 10.73367 -11.6923 xg(189) : 11.33668 -8.4128 xg(179) : 10.73367 -9.2743 xg(189) : 11.33668 -7.2099 xg(179) : 10.73367 -15.0681 xg(189) : 11.33668 -11.5166 xg(189) : 11.33668 -11.5528 xg(179) : 10.73367 -6.9911 xg(179) : 10.73367 -11.0852 xg(189) : 11.33668 -12.0322 xg(179) : 10.73367 -11.6976 xg(189) : 11.33668 -12.0069 xg(179) : 10.73367 -9.8466 xg(189) : 11.33668 -12.0147 xg(179) : 10.73367 -11.2391 xg(189) : 11.33668 -11.6936 xg(179) : 10.73367 -12.5884 Number of evaluations: 5 + 95 = 100. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe04.m] >>>>> /<>/inst/examples/02_design_of_experiments/stk_example_doe04.m ***** test stk_example_doe04; close all; #=========================# # stk_example_doe04 # #=========================# 'stk_example_doe04' is a script from the file /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/examples/02_design_of_experiments/stk_example_doe04.m STK_EXAMPLE_DOE04 Probability of misclassification The upper panel shows posterior means and variances as usual, and the threshold of interest, which is at T = 0.85 (dashed line). The lower panel shows the probability of misclassification as a function of x (blue curve), i.e., the probability that the actual value of the function is not on the same side of the threshold as the prediction (posterior mean). We also plot the expected future probability of misclassification (magenta curve), should a new evaluation be made at x = 3. Note that both probabilities are obtained using stk_pmisclass. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe03.m] >>>>> /<>/inst/examples/02_design_of_experiments/stk_example_doe03.m ***** test stk_example_doe03; close all; #=========================# # stk_example_doe03 # #=========================# 'stk_example_doe03' is a script from the file /<>/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/examples/02_design_of_experiments/stk_example_doe03.m STK_EXAMPLE_DOE03 A simple illustration of 1D Bayesian optimization Our goal here is to optimize (maximize) the one-dimensional function x |--> x * sin (x) over the interval [0; 4 * pi]. A Matern 5/2 prior with known parameters is used. Evaluations points are chosen sequentially using the Expected Improvement (EI) criterion, starting from an initial design of N0 = 3 points. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 15 |-+ 10 |-+ ####%%%%%%%%%%%##### ################ 5 |-+%&&&&&&&&&&&&&&&&&&&&&&%# #%===========&&&&&%%%## 0 |-+*====F========XXXXXXXX&&&&& ====&XXXXXXXXX===XX&&&&&&%% z |&&***************************G***********************XX&&&& -5 |-+&&&&&&XXXXXXXXXXXXXX====&&# #&&&&&&XXXXXXXXXXXX===*******G -10 |-+ ##%%&&&&&&&&&&&&&&&&%%# ##%%&&&&&&&&&&&&&&&=======# -15 |-+ ##+####%%###+### + ###+%%%%%%%%%+%%%%## + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 1 |-----------------------------------------------------------| | ***F******** + + + + | 0.8 |-+ ** ****** +-| 0.6 |-+* *** *********** +-| EI | * ** *** *** | 0.4 |** ** ** *** +-| 0.2 |*+ ** ** ** +-| |* + + ** + ** + + ** | 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 15 |-+ 10 |-+ ##%%%%%%%%#### #####%%%%%%###### 5 |-+%&&&% 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-10 |-+ ####### #%%&&&&&&&&&&&&&&&=======# -15 |-+ + + + ###+####%%%%%+%%%### + -20 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.5 |-----------------------------------------------------------| | + + + + + | 0.4 |-+ *** ****F**** +-| 0.3 |-+ * ** * **** ** *** +-| EI | * * *** ** ** ** *** | 0.2 |-+* **** * ** ** ** ** +-| 0.1 |-** ** * ** ** ** ** +-| | * **+ * * + ** + ** + + *** | 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 15 |-+ ### 10 |-+ #%%%%%# #%&&&&%%%## | #### #%%%%%%## #&&===***G***XX&&&&&%%# 5 |-+&&&&&&&&&&&&#&&&&&&&&&&&&% #&==*****&&%&=F****XX&&&&%# z 0 |-+*****G******G***********&&*G*****X&&&% #&===X****X&&&% -5 |-+&&&% ### %&========****=&&&&&&%% #%===XX******&% | %%&&&&&&&&% #### #%===&&&&&**G -10 |-+ + +###### + + +#%====== + -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.35 |-----------------------------------------------------------| 0.3 |-+ + + + + *** + 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|-+*****G******G*****XXXXX&&&&%****&&% ****XXX&&&&%# z |&&&&&&# #%%%##&===**********G*&&&%# &==*****X&&&% -5 |-+## %&&&&======&& %===XX******G -10 |-+ ##%%&&&&%%# #%====&&==== | + +###### + + +##%====# + -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.05 |-----------------------------------------------------------| | + + + *F+ + | 0.04 |-+ *** +-| 0.03 |-+ * * +-| EI | * ** | 0.02 |-+ ** ** +-| 0.01 |-+ * ** +-| | + + + ** ** + | 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 10 |-+ | #### #%%%%%%## %&&***GF*G** ####### 5 |-+&&&&&&&&&&&% %&&&&&&&&&&%# &=***& #*G*&&&&&&&%%# 0 |-+*****G******G*****XXXXX&&&&%****&# ****XXX&&&&%# z |&&&&&&# #%%%##&===**********G*&&% &=******X&&&% -5 |-+## %&&&&======&& %===XX******G -10 |-+ #%%&&&&&&%# #%====&&==== | + +###### + + +#%%====# + -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.025 |-----------------------------------------------------------| | + + + F + | 0.02 |-+ * +-| 0.015 |-+ * +-| EI | ** | 0.01 |-+ ** +-| 0.005 |-+ ** +-| | + + + *** + | 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 10 |-+ | #### #%%%%%%## #&&***GF*G** ####### 5 |-+&&&&&&&&&&&% %&&&&&&&&&%%# &=***& #*G*&&&&&&&%%# 0 |-+*****G******G*****XXXXX&&&&%***&&# ****XXX&&&&%# z |&&&&&&# #%%%##&===**********G*&&% &=******X&&&% -5 |-+## %&&&&======&& %===XX******G -10 |-+ #%%&&&&&&%# #%====&&==== | + +###### + + +#%%====# + -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.006 |-----------------------------------------------------------| 0.005 |-+ + + + F + +-| | * | 0.004 |-+ * +-| EI 0.003 |-+ * +-| 0.002 |-+ * +-| | * | 0.001 |-+ + **** + * + +-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 10 |-+ | #### #%%%%%%## #&&***GG*G** ####### 5 |-+&&&&&&&&&&&% %&&&&&&&&&%%# &=***& #*G*&&&&&&&%%# 0 |-+*****G******G*****XXXXX&&&&%***&& ****XXX&&&&%# z |&&&&&&# #%%%##&===**F*******G*&&# &=******X&&&% -5 |-+## %&&&&======&& %===XX******G -10 |-+ #%%&&&&&&%# #%====&&==== | + +###### + + +#%%====# + -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.0006 |-----------------------------------------------------------| 0.0005 |-+ + +*F + + + +-| | *** | 0.0004 |-+ * * +-| 0.0003 |-+ * * +-| 0.0002 |-+ * ** +-| | ** * | 0.0001 |-+ + *+ ** + *** + +** +-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 10 |-+ | #### #&&F**GG*G** ####### 5 |-+&&&&&&&&&&&& # &****& #*G*&&&&&&&%%# 0 |-+*****G******G**&&% #%%%%%&***&& ****XXX&&&&%# z |&&&&&&% #### #&*****G&&&****G*&%# &=******X&&&% -5 |-+## #&&&&*****=&& %===XX******G -10 |-+ #%%%%# #%====&&==== | + + + + +#%%====# + -15 |------------------------------------------------------------ 0 2 4 6 8 10 12 x 0.00014 |-----------------------------------------------------------| 0.00012 |-+ + + + F + + +-| 0.0001 |-+ ** +-| 8e-05 |-+ ** +-| | * * | 6e-05 |-+ * * +-| 4e-05 |-+ * * *** +-| 2e-05 |-+ + + + * * * * ** +-| 0 |-----------------------------------------------------------| 0 2 4 6 8 10 12 : x z x0(001) : 0.00000 0.00000 x0(002) : 6.00000 -1.67649 x0(003) : 12.00000 -6.43888 xg(057) : 1.68421 1.67339 xg(099) : 2.94737 0.56886 xg(282) : 8.45113 6.98861 xg(299) : 8.96241 3.99788 xg(268) : 8.03008 7.90589 xg(258) : 7.72932 7.66935 xg(265) : 7.93985 7.91060 xg(266) : 7.96992 7.91642 xg(145) : 4.33083 -4.01937 Number of evaluations: 3 + 9 = 12. 1 test, 1 passed, 0 known failure, 0 skipped [inst/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 = 2.88e-01 1 |---------------------------------------------------------------------| | F + + + + | | F | 0.8 |-+ +-| | F | | | | F | 0.6 |-+ F +-| | | | F | 0.4 |-+ +-| | F | | | | F | 0.2 |-+ F +-| | | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 11, fd = 2.84e-01 1 |---------------------------------------------------------------------| | F + + + + | | F | 0.8 |-+ +-| | F | | | | F | 0.6 |-+ F +-| | | | F | 0.4 |-+ +-| | F | | | | F | 0.2 |-+ F +-| | | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 12, fd = 2.79e-01 1 |---------------------------------------------------------------------| | F + + + + | | F | 0.8 |-+ +-| | F | | | | F | 0.6 |-+ F +-| | | | F | 0.4 |-+ +-| | F | | | | F | 0.2 |-+ F +-| | | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 13, fd = 2.66e-01 1 |---------------------------------------------------------------------| | F + + + + | | F | 0.8 |-+ +-| | F | | | | F | 0.6 |-+ F +-| | | | F | 0.4 |-+ +-| | F | | | | F | 0.2 |-+ F +-| | | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 14, fd = 2.45e-01 1 |---------------------------------------------------------------------| | F + + + + | | F | 0.8 |-+ +-| | F | | | | F | 0.6 |-+ F +-| | | | F | 0.4 |-+ F +-| | F | | | | F | 0.2 |-+ F +-| | | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 15, fd = 2.44e-01 1 |---------------------------------------------------------------------| | F + + + + | | F | 0.8 |-+ +-| | F | | | | F | 0.6 |-+ F +-| | | | F | 0.4 |-+ F +-| | F | | | | F | 0.2 |-+ F +-| | | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 16, fd = 2.37e-01 1 |---------------------------------------------------------------------| | F + + + + | | F | 0.8 |-+ +-| | F | | | | F | 0.6 |-+ F +-| | | | F | 0.4 |-+ F +-| | F | | | | F | 0.2 |-+ F +-| | | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 17, fd = 2.37e-01 1 |---------------------------------------------------------------------| | F + + + + | | F | 0.8 |-+ +-| | F | | | | F | 0.6 |-+ F +-| | | | F F | 0.4 |-+ F +-| | F | | | | F | 0.2 |-+ F +-| | | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 18, fd = 2.35e-01 1 |---------------------------------------------------------------------| | F + + + + | | F | 0.8 |-+ +-| | F | | | | F | 0.6 |-+ F +-| | | | F F | 0.4 |-+ F +-| | F | | | | F | 0.2 |-+ F +-| | | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 n = 19, fd = 2.23e-01 1 |---------------------------------------------------------------------| | F + + + + | | F | 0.8 |-+ +-| | F F | | | | F | 0.6 |-+ F +-| | | | F F | 0.4 |-+ F +-| | F | | | | F | 0.2 |-+ F +-| | | | + + + + | 0 |---------------------------------------------------------------------| 0 0.2 0.4 0.6 0.8 1 1 test, 1 passed, 0 known failure, 0 skipped [inst/utils/stk_conditioning.m] >>>>> /<>/inst/utils/stk_conditioning.m ***** shared n, m, ni, xi_ind, lambda, zsim, zi n = 50; m = 5; ni = 10; xi_ind = 1:ni; lambda = 1/ni * ones (ni, n); % prediction == averaging zsim = ones (n, m); % const unconditioned samplepaths zi = zeros (ni, 1); % conditioning by zeros ***** error zsimc = stk_conditioning (); ***** error zsimc = stk_conditioning (lambda); ***** error zsimc = stk_conditioning (lambda, zi); ***** test zsimc = stk_conditioning (lambda, zi, zsim); ***** test zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); ***** test zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); assert (stk_isequal_tolabs (double (zsimc), zeros (n, m))); ***** test zi = 2 * ones (ni, 1); % conditioning by twos zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); assert (stk_isequal_tolabs (double (zsimc), 2 * ones (n, m))); ***** test DIM = 1; nt = 400; xt = stk_sampling_regulargrid (nt, DIM, [-1.0; 1.0]); NI = 6; xi_ind = [1 20 90 200 300 350]; xi = xt(xi_ind, 1); zi = (1:NI)'; % linear response ;-) % Carry out the kriging prediction at points xt model = stk_model ('stk_materncov52_iso'); model.param = log ([1.0; 2.9]); [ignore_zp, lambda] = stk_predict (model, xi, [], xt); % Generate (unconditional) sample paths according to the model NB_PATHS = 10; zsim = stk_generate_samplepaths (model, xt, NB_PATHS); zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/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 Checking C++ files ... Summary: 1549 tests, 1549 passed, 0 known failures, 0 skipped dh_installdocs -a -O--buildsystem=octave dh_installchangelogs -a -O--buildsystem=octave dh_octave_changelogs -a -O--buildsystem=octave dh_octave_examples -a -O--buildsystem=octave dh_installsystemduser -a -O--buildsystem=octave dh_lintian -a -O--buildsystem=octave dh_perl -a -O--buildsystem=octave dh_link -a -O--buildsystem=octave dh_strip_nondeterminism -a -O--buildsystem=octave dh_compress -a -O--buildsystem=octave dh_fixperms -a -O--buildsystem=octave dh_missing -a -O--buildsystem=octave dh_dwz -a -a -O--buildsystem=octave dh_strip -a -a -O--buildsystem=octave dh_makeshlibs -a -a -O--buildsystem=octave dh_shlibdeps -a -a -O--buildsystem=octave dh_octave_substvar -a -O--buildsystem=octave dh_installdeb -a -O--buildsystem=octave dh_gencontrol -a -O--buildsystem=octave dpkg-gencontrol: warning: package octave-stk: substitution variable ${octave:Upstream-Description} unused, but is defined dh_md5sums -a -O--buildsystem=octave dh_builddeb -a -O--buildsystem=octave INFO: pkgstriptranslations version 146 INFO: pkgstriptranslations version 146 pkgstriptranslations: processing octave-stk (in debian/octave-stk); do_strip: , oemstrip: pkgstriptranslations: processing octave-stk-dbgsym (in debian/.debhelper/octave-stk/dbgsym-root); do_strip: , oemstrip: pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgmaintainermangler: Maintainer field overridden to "Ubuntu Developers " pkgstripfiles: processing control file: debian/octave-stk/DEBIAN/control, package octave-stk, directory debian/octave-stk pkgstripfiles: Truncating usr/share/doc/octave-stk/changelog.Debian.gz to topmost ten records pkgstripfiles: Running PNG optimization (using 4 cpus) for package octave-stk ... 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_2.6.1-3_s390x.deb'. pkgstripfiles: No PNG files. dpkg-deb: building package 'octave-stk' in '../octave-stk_2.6.1-3_s390x.deb'. Renaming octave-stk-dbgsym_2.6.1-3_s390x.deb to octave-stk-dbgsym_2.6.1-3_s390x.ddeb dpkg-genbuildinfo --build=any dpkg-genchanges --build=any -mLaunchpad Build Daemon >../octave-stk_2.6.1-3_s390x.changes dpkg-genchanges: info: binary-only arch-specific upload (source code and arch-indep packages not included) dpkg-source --after-build . dpkg-buildpackage: info: binary-only upload (no source included) -------------------------------------------------------------------------------- Build finished at 20200803-1715 Finished -------- I: Built successfully +------------------------------------------------------------------------------+ | Post Build Chroot | +------------------------------------------------------------------------------+ +------------------------------------------------------------------------------+ | Changes | +------------------------------------------------------------------------------+ octave-stk_2.6.1-3_s390x.changes: --------------------------------- Format: 1.8 Date: Sun, 02 Aug 2020 13:07:37 -0300 Source: octave-stk Binary: octave-stk Architecture: s390x Version: 2.6.1-3 Distribution: groovy-proposed Urgency: medium Maintainer: Launchpad Build Daemon Changed-By: Rafael Laboissière Description: octave-stk - (not so) Small Toolbox for Kriging Changes: octave-stk (2.6.1-3) unstable; urgency=medium . * Team upload . * d/control: + Bump Standards-Version to 4.5.0 (no changes needed) + Bump debhelper compatibility level to 13 * d/u/metadata: + Add Bug-{Database,Submit} and Repository-Browse fields + Drop Name and Contact fields * d/p/0003-Mark-expected-failure.patch: Set Forwarded:not-needed * d/octave-stk.lintian-overrides: Rename tag shared-library-lacks-prerequisites Checksums-Sha1: 3be92691aec5dee3a56a9d07765392beafc572f4 76468 octave-stk-dbgsym_2.6.1-3_s390x.ddeb 521fd19222e3a3b46ec8b2915b494263c3cc7003 19122 octave-stk_2.6.1-3_s390x.buildinfo 292802d4cfa2a84e77b81b8835377f362e8353c0 308688 octave-stk_2.6.1-3_s390x.deb Checksums-Sha256: f1917a42836bc45dba462733564f5577a808454383237eff2121616e87c99c4c 76468 octave-stk-dbgsym_2.6.1-3_s390x.ddeb c98552f0e920e675e7f93273267376dae56277fae1e471739772d22eb78cd205 19122 octave-stk_2.6.1-3_s390x.buildinfo 5b98e659c93646b904b2f99108b557dedf9d22ee66d8e88c10608c803ea2b79c 308688 octave-stk_2.6.1-3_s390x.deb Files: 0b80ef8b5295e38cb978613d2d24176f 76468 debug optional octave-stk-dbgsym_2.6.1-3_s390x.ddeb 13f54f139e973a8b297504475365017a 19122 math optional octave-stk_2.6.1-3_s390x.buildinfo 7884f146a08cedeea450bf2b97ef3c18 308688 math optional octave-stk_2.6.1-3_s390x.deb +------------------------------------------------------------------------------+ | Package contents | +------------------------------------------------------------------------------+ octave-stk_2.6.1-3_s390x.deb ---------------------------- new debian package, version 2.0. size 308688 bytes: control archive=13636 bytes. 1112 bytes, 22 lines control 54081 bytes, 510 lines md5sums Package: octave-stk Version: 2.6.1-3 Architecture: s390x Maintainer: Ubuntu Developers Original-Maintainer: Debian Octave Group Installed-Size: 2147 Depends: octave (>= 5.2.0), libc6 (>= 2.29), octave-abi-53 Section: math Priority: optional Homepage: https://octave.sourceforge.io/stk/ Description: (not so) Small Toolbox for Kriging The STK is a (not so) Small Toolbox for Kriging. Its primary focus is on the interpolation/regression technique known as kriging, which is very closely related to Splines and Radial Basis Functions, and can be interpreted as a non-parametric Bayesian method using a Gaussian Process (GP) prior. The STK also provides tools for the sequential and non-sequential design of experiments. Even though it is, currently, mostly geared towards the Design and Analysis of Computer Experiments (DACE), the STK can be useful for other applications areas (such as Geostatistics, Machine Learning, Non-parametric Regression, etc.). . This Octave add-on package is part of the Octave-Forge project. drwxr-xr-x root/root 0 2020-08-02 16:07 ./ drwxr-xr-x root/root 0 2020-08-02 16:07 ./usr/ drwxr-xr-x root/root 0 2020-08-02 16:07 ./usr/lib/ drwxr-xr-x root/root 0 2020-08-02 16:07 ./usr/lib/s390x-linux-gnu/ drwxr-xr-x root/root 0 2020-08-02 16:07 ./usr/lib/s390x-linux-gnu/octave/ drwxr-xr-x root/root 0 2020-08-02 16:07 ./usr/lib/s390x-linux-gnu/octave/packages/ drwxr-xr-x root/root 0 2020-08-02 16:07 ./usr/lib/s390x-linux-gnu/octave/packages/stk-2.6.1/ drwxr-xr-x root/root 0 2020-08-02 16:07 ./usr/lib/s390x-linux-gnu/octave/packages/stk-2.6.1/s390x-ibm-linux-gnu-api-v53/ -rw-r--r-- root/root 10256 2020-08-02 16:07 ./usr/lib/s390x-linux-gnu/octave/packages/stk-2.6.1/s390x-ibm-linux-gnu-api-v53/__get_column_number__.mex -rw-r--r-- root/root 10368 2020-08-02 16:07 ./usr/lib/s390x-linux-gnu/octave/packages/stk-2.6.1/s390x-ibm-linux-gnu-api-v53/__stk_dist_matrixx__.mex -rw-r--r-- root/root 10368 2020-08-02 16:07 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Build | +------------------------------------------------------------------------------+ +------------------------------------------------------------------------------+ | Cleanup | +------------------------------------------------------------------------------+ Purging /<> Not removing build depends: as requested +------------------------------------------------------------------------------+ | Summary | +------------------------------------------------------------------------------+ Build Architecture: s390x Build-Space: 8596 Build-Time: 99 Distribution: groovy-proposed Host Architecture: s390x Install-Time: 32 Job: octave-stk_2.6.1-3.dsc Machine Architecture: s390x Package: octave-stk Package-Time: 132 Source-Version: 2.6.1-3 Space: 8596 Status: successful Version: 2.6.1-3 -------------------------------------------------------------------------------- Finished at 20200803-1715 Build needed 00:02:12, 8596k disc space RUN: /usr/share/launchpad-buildd/bin/in-target scan-for-processes 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