Input buildinfo: https://buildinfos.debian.net/buildinfo-pool/o/octave-stk/octave-stk_2.6.1-5_amd64.buildinfo Use metasnap for getting required timestamps New buildinfo file: /tmp/octave-stk-2.6.1-53cm787t1/octave-stk_2.6.1-5_amd64.buildinfo Get source package info: octave-stk=2.6.1-5 Source URL: http://snapshot.notset.fr/mr/package/octave-stk/2.6.1-5/srcfiles?fileinfo=1 env -i PATH=/usr/sbin:/usr/bin:/sbin:/bin TMPDIR=/tmp mmdebstrap --arch=amd64 --include=aglfn=1.7+git20191031.4036a9c-2 autoconf=2.69-14 automake=1:1.16.3-1 autopoint=0.21-3 autotools-dev=20180224.1+nmu1 base-files=11 base-passwd=3.5.48 bash=5.1-1 binutils=2.35.1-6 binutils-common=2.35.1-6 binutils-x86-64-linux-gnu=2.35.1-6 bsdextrautils=2.36.1-4 bsdutils=1:2.36.1-4 build-essential=12.8 bzip2=1.0.8-4 ca-certificates=20200601 cme=1.032-1 coreutils=8.32-4+b1 cpp=4:10.2.0-1 cpp-10=10.2.1-3 dash=0.5.11+git20200708+dd9ef66-5 debconf=1.5.74 debhelper=13.3.1 debianutils=4.11.2 dh-autoreconf=19 dh-octave=1.0.3 dh-octave-autopkgtest=1.0.3 dh-strip-nondeterminism=1.9.0-1 diffstat=1.63-1 diffutils=1:3.7-3 dpkg=1.20.5 dpkg-dev=1.20.5 dwz=0.13+20201015-2 file=1:5.39-3 findutils=4.7.0+git20201010-2 fontconfig=2.13.1-4.2 fontconfig-config=2.13.1-4.2 fonts-dejavu-core=2.37-2 fonts-freefont-otf=20120503-10 g++=4:10.2.0-1 g++-10=10.2.1-3 gcc=4:10.2.0-1 gcc-10=10.2.1-3 gcc-10-base=10.2.1-3 gettext=0.21-3 gettext-base=0.21-3 gfortran=4:10.2.0-1 gfortran-10=10.2.1-3 gnuplot-data=5.4.1+dfsg1-1 gnuplot-nox=5.4.1+dfsg1-1 gpg=2.2.20-1 gpgconf=2.2.20-1 grep=3.6-1 groff-base=1.22.4-5 gzip=1.10-2 hdf5-helpers=1.10.6+repack-2 hostname=3.23 init-system-helpers=1.60 intltool-debian=0.35.0+20060710.5 libacl1=2.2.53-9 libaec-dev=1.0.4-1 libaec0=1.0.4-1 libalgorithm-c3-perl=0.11-1 libaliased-perl=0.34-1.1 libamd2=1:5.8.1+dfsg-2 libapp-cmd-perl=0.331-1 libapt-pkg-perl=0.1.36+b4 libapt-pkg6.0=2.1.15 libarchive-zip-perl=1.68-1 libarpack2=3.8.0-1 libarray-intspan-perl=2.004-1 libasan6=10.2.1-3 libasound2=1.2.4-1 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libcommon-sense-perl=3.75-1+b3 libconfig-model-backend-yaml-perl=2.133-2 libconfig-model-dpkg-perl=2.141 libconfig-model-perl=2.140-1 libconfig-tiny-perl=2.24-1 libconvert-binhex-perl=1.125-1 libcpanel-json-xs-perl=4.25-1+b1 libcrypt-dev=1:4.4.17-1 libcrypt1=1:4.4.17-1 libctf-nobfd0=2.35.1-6 libctf0=2.35.1-6 libcups2=2.3.3op1-4 libcurl3-gnutls=7.74.0-1 libcxsparse3=1:5.8.1+dfsg-2 libdata-dpath-perl=0.58-1 libdata-messagepack-perl=1.00-4+b1 libdata-optlist-perl=0.110-1.1 libdata-section-perl=0.200007-1 libdata-validate-domain-perl=0.10-1.1 libdatrie1=0.2.12-3 libdb5.3=5.3.28+dfsg1-0.6 libdbus-1-3=1.12.20-1 libdebconfclient0=0.255 libdebhelper-perl=13.3.1 libdeflate0=1.6-1 libdevel-callchecker-perl=0.008-1+b2 libdevel-size-perl=0.83-1+b2 libdevel-stacktrace-perl=2.0400-1 libdouble-conversion3=3.1.5-6.1 libdpkg-perl=1.20.5 libdrm-amdgpu1=2.4.103-2 libdrm-common=2.4.103-2 libdrm-intel1=2.4.103-2 libdrm-nouveau2=2.4.103-2 libdrm-radeon1=2.4.103-2 libdrm2=2.4.103-2 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libhogweed6=3.6-2 libhtml-html5-entities-perl=0.004-1.1 libhtml-parser-perl=3.75-1+b1 libhtml-tagset-perl=3.20-4 libhtml-tree-perl=5.07-2 libhttp-cookies-perl=6.09-1 libhttp-date-perl=6.05-1 libhttp-message-perl=6.26-1 libhttp-negotiate-perl=6.01-1 libice6=2:1.0.10-1 libicu67=67.1-5 libidn2-0=2.3.0-4 libimport-into-perl=1.002005-1 libinput-bin=1.16.4-3 libinput10=1.16.4-3 libio-html-perl=1.001-1.1 libio-socket-ssl-perl=2.068-1 libio-string-perl=1.08-3.1 libio-stringy-perl=2.111-3 libio-tiecombine-perl=1.005-1.1 libipc-run3-perl=0.048-2 libipc-system-simple-perl=1.30-1 libisl23=0.23-1 libiterator-perl=0.03+ds1-1.1 libiterator-util-perl=0.02+ds1-1.1 libitm1=10.2.1-3 libjack-jackd2-0=1.9.16~dfsg-1 libjbig0=2.1-3.1+b2 libjpeg-dev=1:2.0.5-2 libjpeg62-turbo=1:2.0.5-2 libjpeg62-turbo-dev=1:2.0.5-2 libjson-maybexs-perl=1.004003-1 libjson-perl=4.02000-2 libk5crypto3=1.18.3-4 libkeyutils1=1.6.1-2 libkrb5-3=1.18.3-4 libkrb5support0=1.18.3-4 liblapack-dev=3.9.0-3 liblapack3=3.9.0-3 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libunistring2=0.9.10-4 liburi-perl=5.05-1 libuuid1=2.36.1-4 libvariable-magic-perl=0.62-1+b3 libvorbis0a=1.3.7-1 libvorbisenc2=1.3.7-1 libvulkan1=1.2.154.1-1 libwacom-common=1.7-1 libwacom2=1.7-1 libwayland-client0=1.18.0-2~exp1.1 libwayland-server0=1.18.0-2~exp1.1 libwebp6=0.6.1-2+b1 libwebpmux3=0.6.1-2+b1 libwmf0.2-7=0.2.8.4-17 libwww-perl=6.51-1 libwww-robotrules-perl=6.02-1 libx11-6=2:1.6.12-1 libx11-data=2:1.6.12-1 libx11-dev=2:1.6.12-1 libx11-xcb1=2:1.6.12-1 libxau-dev=1:1.0.8-1+b2 libxau6=1:1.0.8-1+b2 libxcb-dri2-0=1.14-2.1 libxcb-dri3-0=1.14-2.1 libxcb-glx0=1.14-2.1 libxcb-icccm4=0.4.1-1.1 libxcb-image0=0.4.0-1+b3 libxcb-keysyms1=0.4.0-1+b2 libxcb-present0=1.14-2.1 libxcb-randr0=1.14-2.1 libxcb-render-util0=0.3.9-1+b1 libxcb-render0=1.14-2.1 libxcb-shape0=1.14-2.1 libxcb-shm0=1.14-2.1 libxcb-sync1=1.14-2.1 libxcb-util1=0.4.0-1+b1 libxcb-xfixes0=1.14-2.1 libxcb-xinerama0=1.14-2.1 libxcb-xinput0=1.14-2.1 libxcb-xkb1=1.14-2.1 libxcb1=1.14-2.1 libxcb1-dev=1.14-2.1 libxcursor1=1:1.2.0-2 libxdamage1=1:1.1.5-2 libxdmcp-dev=1:1.1.2-3 libxdmcp6=1:1.1.2-3 libxext6=2:1.3.3-1.1 libxfixes3=1:5.0.3-2 libxft2=2.3.2-2 libxinerama1=2:1.1.4-2 libxkbcommon-x11-0=1.0.3-2 libxkbcommon0=1.0.3-2 libxml-libxml-perl=2.0134+dfsg-2+b1 libxml-namespacesupport-perl=1.12-1.1 libxml-sax-base-perl=1.09-1.1 libxml-sax-perl=1.02+dfsg-1 libxml2=2.9.10+dfsg-6.3+b1 libxpm4=1:3.5.12-1 libxrender1=1:0.9.10-1 libxshmfence1=1.3-1 libxxf86vm1=1:1.1.4-1+b2 libxxhash0=0.8.0-1 libyaml-0-2=0.2.2-1 libyaml-libyaml-perl=0.82+repack-1+b1 libyaml-perl=1.30-1 libyaml-tiny-perl=1.73-1 libz3-4=4.8.9-1 libzstd1=1.4.8+dfsg-1 licensecheck=3.0.47-1 lintian=2.104.0 linux-libc-dev=5.9.15-1 login=1:4.8.1-1 lsb-base=11.1.0 lzip=1.21-8 lzop=1.04-2 m4=1.4.18-4 make=4.3-4 man-db=2.9.3-2 mawk=1.3.4.20200120-2 ncurses-base=6.2+20201114-1 ncurses-bin=6.2+20201114-1 netbase=6.2 octave=6.1.1~hg.2020.12.27-2 octave-common=6.1.1~hg.2020.12.27-2 openssl=1.1.1i-1 patch=2.7.6-6 patchutils=0.4.2-1 perl=5.32.0-6 perl-base=5.32.0-6 perl-modules-5.32=5.32.0-6 perl-openssl-defaults=5 po-debconf=1.0.21+nmu1 readline-common=8.1-1 sed=4.7-1 sensible-utils=0.0.12+nmu1 shared-mime-info=2.0-1 sysvinit-utils=2.96-5 t1utils=1.41-4 tar=1.32+dfsg-1 tex-common=6.15 texinfo=6.7.0.dfsg.2-5+b1 ucf=3.0043 unzip=6.0-25 util-linux=2.36.1-4 x11-common=1:7.7+21 x11proto-core-dev=2020.1-1 x11proto-dev=2020.1-1 xkb-data=2.29-2 xorg-sgml-doctools=1:1.11-1.1 xtrans-dev=1.4.0-1 xz-utils=5.2.4-1+b1 zlib1g=1:1.2.11.dfsg-2 zlib1g-dev=1:1.2.11.dfsg-2 --variant=apt --aptopt=Acquire::Check-Valid-Until "false" --aptopt=Acquire::http::Dl-Limit "1000"; --aptopt=Acquire::https::Dl-Limit "1000"; --aptopt=Acquire::Retries "5"; --aptopt=APT::Get::allow-downgrades "true"; --keyring=/usr/share/keyrings/ --essential-hook=chroot "$1" sh -c "apt-get --yes install fakeroot util-linux" --essential-hook=copy-in /usr/share/keyrings/debian-archive-bullseye-automatic.gpg /usr/share/keyrings/debian-archive-bullseye-security-automatic.gpg /usr/share/keyrings/debian-archive-bullseye-stable.gpg /usr/share/keyrings/debian-archive-buster-automatic.gpg /usr/share/keyrings/debian-archive-buster-security-automatic.gpg /usr/share/keyrings/debian-archive-buster-stable.gpg /usr/share/keyrings/debian-archive-keyring.gpg /usr/share/keyrings/debian-archive-removed-keys.gpg /usr/share/keyrings/debian-archive-stretch-automatic.gpg /usr/share/keyrings/debian-archive-stretch-security-automatic.gpg /usr/share/keyrings/debian-archive-stretch-stable.gpg /usr/share/keyrings/debian-ports-archive-keyring-removed.gpg /usr/share/keyrings/debian-ports-archive-keyring.gpg /usr/share/keyrings/debian-keyring.gpg /etc/apt/trusted.gpg.d/ --essential-hook=chroot "$1" sh -c "rm /etc/apt/sources.list && echo 'deb http://snapshot.notset.fr/archive/debian/20210814T212851Z/ bookworm main deb-src http://snapshot.notset.fr/archive/debian/20210814T212851Z/ bookworm main deb http://snapshot.notset.fr/archive/debian/20210105T142921Z/ unstable main deb http://snapshot.notset.fr/archive/debian/20201230T203527Z/ unstable main' >> /etc/apt/sources.list && apt-get update" --customize-hook=chroot "$1" useradd --no-create-home -d /nonexistent -p "" builduser -s /bin/bash --customize-hook=chroot "$1" env sh -c "apt-get source --only-source -d octave-stk=2.6.1-5 && mkdir -p /build/octave-stk-FWn3yI && dpkg-source --no-check -x /*.dsc /build/octave-stk-FWn3yI/octave-stk-2.6.1 && chown -R builduser:builduser /build/octave-stk-FWn3yI" --customize-hook=chroot "$1" env --unset=TMPDIR runuser builduser -c "cd /build/octave-stk-FWn3yI/octave-stk-2.6.1 && env DEB_BUILD_OPTIONS="parallel=4" LC_ALL="C.UTF-8" SOURCE_DATE_EPOCH="1609346456" dpkg-buildpackage -uc -a amd64 --build=any" --customize-hook=sync-out /build/octave-stk-FWn3yI /tmp/octave-stk-2.6.1-53cm787t1 bullseye /dev/null deb http://snapshot.notset.fr/archive/debian/20201230T203527Z unstable main I: automatically chosen mode: root I: chroot architecture amd64 is equal to the host's architecture I: automatically chosen format: tar I: using /tmp/mmdebstrap.HoJ6vSstP1 as tempdir I: running apt-get update... I: downloading packages with apt... I: extracting archives... I: installing essential packages... I: running --essential-hook in shell: sh -c 'chroot "$1" sh -c "apt-get --yes install fakeroot util-linux"' exec /tmp/mmdebstrap.HoJ6vSstP1 Reading package lists... Building dependency tree... util-linux is already the newest version (2.36.1-4). The following NEW packages will be installed: fakeroot libfakeroot 0 upgraded, 2 newly installed, 0 to remove and 0 not upgraded. Need to get 134 kB of archives. After this operation, 397 kB of additional disk space will be used. Get:1 http://snapshot.notset.fr/archive/debian/20201230T203527Z unstable/main amd64 libfakeroot amd64 1.25.3-1.1 [47.0 kB] Get:2 http://snapshot.notset.fr/archive/debian/20201230T203527Z unstable/main amd64 fakeroot amd64 1.25.3-1.1 [87.0 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 134 kB in 0s (879 kB/s) Selecting previously unselected package libfakeroot:amd64. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 4648 files and directories currently installed.) Preparing to unpack .../libfakeroot_1.25.3-1.1_amd64.deb ... Unpacking libfakeroot:amd64 (1.25.3-1.1) ... Selecting previously unselected package fakeroot. Preparing to unpack .../fakeroot_1.25.3-1.1_amd64.deb ... Unpacking fakeroot (1.25.3-1.1) ... Setting up libfakeroot:amd64 (1.25.3-1.1) ... Setting up fakeroot (1.25.3-1.1) ... update-alternatives: using /usr/bin/fakeroot-sysv to provide /usr/bin/fakeroot (fakeroot) in auto mode Processing triggers for libc-bin (2.31-6) ... I: running special hook: copy-in /usr/share/keyrings/debian-archive-bullseye-automatic.gpg /usr/share/keyrings/debian-archive-bullseye-security-automatic.gpg /usr/share/keyrings/debian-archive-bullseye-stable.gpg /usr/share/keyrings/debian-archive-buster-automatic.gpg /usr/share/keyrings/debian-archive-buster-security-automatic.gpg /usr/share/keyrings/debian-archive-buster-stable.gpg /usr/share/keyrings/debian-archive-keyring.gpg /usr/share/keyrings/debian-archive-removed-keys.gpg /usr/share/keyrings/debian-archive-stretch-automatic.gpg /usr/share/keyrings/debian-archive-stretch-security-automatic.gpg /usr/share/keyrings/debian-archive-stretch-stable.gpg /usr/share/keyrings/debian-ports-archive-keyring-removed.gpg /usr/share/keyrings/debian-ports-archive-keyring.gpg /usr/share/keyrings/debian-keyring.gpg /etc/apt/trusted.gpg.d/ I: running --essential-hook in shell: sh -c 'chroot "$1" sh -c "rm /etc/apt/sources.list && echo 'deb http://snapshot.notset.fr/archive/debian/20210814T212851Z/ bookworm main deb-src http://snapshot.notset.fr/archive/debian/20210814T212851Z/ bookworm main deb http://snapshot.notset.fr/archive/debian/20210105T142921Z/ unstable main deb http://snapshot.notset.fr/archive/debian/20201230T203527Z/ unstable main' >> /etc/apt/sources.list && apt-get update"' exec /tmp/mmdebstrap.HoJ6vSstP1 Get:1 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm InRelease [81.6 kB] Get:2 http://snapshot.notset.fr/archive/debian/20210105T142921Z unstable InRelease [153 kB] Hit:3 http://snapshot.notset.fr/archive/debian/20201230T203527Z unstable InRelease Ign:4 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main Sources Ign:5 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main amd64 Packages Ign:4 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main Sources Ign:5 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main amd64 Packages Ign:4 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main Sources Ign:5 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main amd64 Packages Get:4 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main Sources [11.4 MB] Get:5 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main amd64 Packages [11.1 MB] Ign:6 http://snapshot.notset.fr/archive/debian/20210105T142921Z unstable/main amd64 Packages Ign:6 http://snapshot.notset.fr/archive/debian/20210105T142921Z unstable/main amd64 Packages Ign:6 http://snapshot.notset.fr/archive/debian/20210105T142921Z unstable/main amd64 Packages Get:6 http://snapshot.notset.fr/archive/debian/20210105T142921Z unstable/main amd64 Packages [11.6 MB] Fetched 34.3 MB in 30s (1141 kB/s) Reading package lists... I: installing remaining packages inside the chroot... I: running --customize-hook in shell: sh -c 'chroot "$1" useradd --no-create-home -d /nonexistent -p "" builduser -s /bin/bash' exec /tmp/mmdebstrap.HoJ6vSstP1 I: running --customize-hook in shell: sh -c 'chroot "$1" env sh -c "apt-get source --only-source -d octave-stk=2.6.1-5 && mkdir -p /build/octave-stk-FWn3yI && dpkg-source --no-check -x /*.dsc /build/octave-stk-FWn3yI/octave-stk-2.6.1 && chown -R builduser:builduser /build/octave-stk-FWn3yI"' exec /tmp/mmdebstrap.HoJ6vSstP1 Reading package lists... NOTICE: 'octave-stk' packaging is maintained in the 'Git' version control system at: https://salsa.debian.org/pkg-octave-team/octave-stk.git Please use: git clone https://salsa.debian.org/pkg-octave-team/octave-stk.git to retrieve the latest (possibly unreleased) updates to the package. Need to get 394 kB of source archives. Get:1 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main octave-stk 2.6.1-5 (dsc) [2005 B] Get:2 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main octave-stk 2.6.1-5 (tar) [380 kB] Get:3 http://snapshot.notset.fr/archive/debian/20210814T212851Z bookworm/main octave-stk 2.6.1-5 (diff) [11.2 kB] Fetched 394 kB in 0s (1043 kB/s) Download complete and in download only mode W: Download is performed unsandboxed as root as file 'octave-stk_2.6.1-5.dsc' couldn't be accessed by user '_apt'. - pkgAcquire::Run (13: Permission denied) dpkg-source: info: extracting octave-stk in /build/octave-stk-FWn3yI/octave-stk-2.6.1 dpkg-source: info: unpacking octave-stk_2.6.1.orig.tar.gz dpkg-source: info: unpacking octave-stk_2.6.1-5.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 I: running --customize-hook in shell: sh -c 'chroot "$1" env --unset=TMPDIR runuser builduser -c "cd /build/octave-stk-FWn3yI/octave-stk-2.6.1 && env DEB_BUILD_OPTIONS="parallel=4" LC_ALL="C.UTF-8" SOURCE_DATE_EPOCH="1609346456" dpkg-buildpackage -uc -a amd64 --build=any"' exec /tmp/mmdebstrap.HoJ6vSstP1 dpkg-buildpackage: info: source package octave-stk dpkg-buildpackage: info: source version 2.6.1-5 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Rafael Laboissière dpkg-source --before-build . dpkg-buildpackage: info: host architecture amd64 debian/rules clean dh clean --buildsystem=octave --with=octave dh_auto_clean -O--buildsystem=octave dh_octave_clean make[1]: Entering directory '/build/octave-stk-FWn3yI/octave-stk-2.6.1/src' rm -f *.o *.mex make[1]: Leaving directory '/build/octave-stk-FWn3yI/octave-stk-2.6.1/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 /build/octave-stk-FWn3yI/octave-stk-2.6.1/debian/octave-stk/usr/share/octave/packages warning: called from install at line 36 column 5 pkg at line 568 column 9 /usr/share/dh-octave/install-pkg.m at line 43 column 1 make[1]: Entering directory '/build/octave-stk-FWn3yI/octave-stk-2.6.1/src' /usr/bin/mkoctfile --verbose --mex --output __stk_dist_pairwise__.mex stk_dist_pairwise.c /usr/bin/mkoctfile --verbose --mex --output __get_column_number__.mex get_column_number.c /usr/bin/mkoctfile --verbose --mex --output __stk_dist_matrixy__.mex stk_dist_matrixy.c /usr/bin/mkoctfile --verbose --mex --output __stk_filldist_discr_mex__.mex stk_filldist_discr_mex.c /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_matrixy__.mex stk_gpquadform_matrixy.c /usr/bin/mkoctfile --verbose --mex --output __stk_isdominated_mex__.mex stk_isdominated_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_dist_pairwise.c -o /tmp/oct-TeMIX5.o /usr/bin/mkoctfile --verbose --mex --output __stk_mindist_mex__.mex stk_mindist_mex.c gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG get_column_number.c -o /tmp/oct-d2UsZ9.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_dist_matrixy.c -o /tmp/oct-jQNtWf.o /usr/bin/mkoctfile --verbose --mex --output __stk_dist_matrixx__.mex stk_dist_matrixx.c /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_matrixx__.mex stk_gpquadform_matrixx.c /usr/bin/mkoctfile --verbose --mex --output __stk_gpquadform_pairwise__.mex stk_gpquadform_pairwise.c /usr/bin/mkoctfile --verbose --mex --output __stk_paretofind_mex__.mex stk_paretofind_mex.c /usr/bin/mkoctfile --verbose --mex --output __stk_sampling_vdc_rr2__.mex stk_sampling_vdc_rr2.c /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-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_filldist_discr_mex.c -o /tmp/oct-IddcUh.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_gpquadform_matrixy.c -o /tmp/oct-1Xy0Sm.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_isdominated_mex.c -o /tmp/oct-8uq5Jp.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_mindist_mex.c -o /tmp/oct-FeyUbG.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_dist_matrixx.c -o /tmp/oct-c5gmsU.o /usr/bin/mkoctfile --verbose --mex --output __stk_distrib_bivnorm0_cdf__.mex stk_distrib_bivnorm0_cdf.c /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-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_sampling_sobol_mex.c -o /tmp/oct-DHZLh0.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_gpquadform_matrixx.c -o /tmp/oct-RKMe89.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_gpquadform_pairwise.c -o /tmp/oct-OAZmif.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_paretofind_mex.c -o /tmp/oct-4CL6uf.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_sampling_vdc_rr2.c -o /tmp/oct-5yFl3n.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_distrib_bivnorm0_cdf.c -o /tmp/oct-a7m9fD.o gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG stk_dominatedhv_mex.c -o /tmp/oct-MKRlFI.o g++ -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -o __stk_gpquadform_matrixx__.mex /tmp/oct-RKMe89.o -shared -Wl,-Bsymbolic -Wl,-z,relro -L/usr/lib/x86_64-linux-gnu -Wl,-z,relro g++ -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -o __stk_gpquadform_matrixy__.mex /tmp/oct-1Xy0Sm.o -shared -Wl,-Bsymbolic -Wl,-z,relro -L/usr/lib/x86_64-linux-gnu -Wl,-z,relro g++ -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -o __stk_mindist_mex__.mex /tmp/oct-FeyUbG.o -shared -Wl,-Bsymbolic -Wl,-z,relro -L/usr/lib/x86_64-linux-gnu -Wl,-z,relro g++ -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -o __stk_dist_pairwise__.mex /tmp/oct-TeMIX5.o -shared -Wl,-Bsymbolic -Wl,-z,relro -L/usr/lib/x86_64-linux-gnu -Wl,-z,relro g++ -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -o __stk_dist_matrixx__.mex /tmp/oct-c5gmsU.o -shared -Wl,-Bsymbolic -Wl,-z,relro -L/usr/lib/x86_64-linux-gnu -Wl,-z,relro g++ -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -o __stk_filldist_discr_mex__.mex /tmp/oct-IddcUh.o -shared -Wl,-Bsymbolic -Wl,-z,relro -L/usr/lib/x86_64-linux-gnu -Wl,-z,relro g++ -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -o __get_column_number__.mex /tmp/oct-d2UsZ9.o -shared -Wl,-Bsymbolic -Wl,-z,relro -L/usr/lib/x86_64-linux-gnu -Wl,-z,relro g++ -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -o __stk_dist_matrixy__.mex /tmp/oct-jQNtWf.o -shared -Wl,-Bsymbolic -Wl,-z,relro -L/usr/lib/x86_64-linux-gnu -Wl,-z,relro g++ -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -o __stk_gpquadform_pairwise__.mex /tmp/oct-OAZmif.o -shared -Wl,-Bsymbolic -Wl,-z,relro -L/usr/lib/x86_64-linux-gnu -Wl,-z,relro g++ -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -o __stk_isdominated_mex__.mex /tmp/oct-8uq5Jp.o -shared -Wl,-Bsymbolic -Wl,-z,relro -L/usr/lib/x86_64-linux-gnu -Wl,-z,relro g++ -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -o __stk_distrib_bivnorm0_cdf__.mex /tmp/oct-a7m9fD.o -shared -Wl,-Bsymbolic -Wl,-z,relro -L/usr/lib/x86_64-linux-gnu -Wl,-z,relro gcc -c -Wdate-time -D_FORTIFY_SOURCE=2 -fPIC -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -I. -DMEX_DEBUG wfg.c -o /tmp/oct-pFn3OK.o g++ -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -o __stk_paretofind_mex__.mex /tmp/oct-4CL6uf.o -shared -Wl,-Bsymbolic -Wl,-z,relro -L/usr/lib/x86_64-linux-gnu -Wl,-z,relro g++ -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -o __stk_sampling_sobol_mex__.mex /tmp/oct-DHZLh0.o -shared -Wl,-Bsymbolic -Wl,-z,relro -L/usr/lib/x86_64-linux-gnu -Wl,-z,relro g++ -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -o __stk_sampling_vdc_rr2__.mex /tmp/oct-5yFl3n.o -shared -Wl,-Bsymbolic -Wl,-z,relro -L/usr/lib/x86_64-linux-gnu -Wl,-z,relro g++ -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave/.. -I/usr/include/octave-6.1.1~hg.2020.12.27-1/octave -pthread -fopenmp -g -O2 -fdebug-prefix-map=/build/octave-stk-FWn3yI/octave-stk-2.6.1=. -fstack-protector-strong -Wformat -Werror=format-security -o __stk_dominatedhv_mex__.mex /tmp/oct-MKRlFI.o /tmp/oct-pFn3OK.o -shared -Wl,-Bsymbolic -Wl,-z,relro -L/usr/lib/x86_64-linux-gnu -Wl,-z,relro make[1]: Leaving directory '/build/octave-stk-FWn3yI/octave-stk-2.6.1/src' copyfile /build/octave-stk-FWn3yI/octave-stk-2.6.1/./src/__get_column_number__.mex /build/octave-stk-FWn3yI/octave-stk-2.6.1/./src/__stk_dist_matrixx__.mex /build/octave-stk-FWn3yI/octave-stk-2.6.1/./src/__stk_dist_matrixy__.mex /build/octave-stk-FWn3yI/octave-stk-2.6.1/./src/__stk_dist_pairwise__.mex /build/octave-stk-FWn3yI/octave-stk-2.6.1/./src/__stk_distrib_bivnorm0_cdf__.mex /build/octave-stk-FWn3yI/octave-stk-2.6.1/./src/__stk_dominatedhv_mex__.mex /build/octave-stk-FWn3yI/octave-stk-2.6.1/./src/__stk_filldist_discr_mex__.mex /build/octave-stk-FWn3yI/octave-stk-2.6.1/./src/__stk_gpquadform_matrixx__.mex /build/octave-stk-FWn3yI/octave-stk-2.6.1/./src/__stk_gpquadform_matrixy__.mex /build/octave-stk-FWn3yI/octave-stk-2.6.1/./src/__stk_gpquadform_pairwise__.mex /build/octave-stk-FWn3yI/octave-stk-2.6.1/./src/__stk_isdominated_mex__.mex /build/octave-stk-FWn3yI/octave-stk-2.6.1/./src/__stk_mindist_mex__.mex /build/octave-stk-FWn3yI/octave-stk-2.6.1/./src/__stk_paretofind_mex__.mex /build/octave-stk-FWn3yI/octave-stk-2.6.1/./src/__stk_sampling_sobol_mex__.mex /build/octave-stk-FWn3yI/octave-stk-2.6.1/./src/__stk_sampling_vdc_rr2__.mex /build/octave-stk-FWn3yI/octave-stk-2.6.1/./inst/x86_64-pc-linux-gnu-api-v55 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/misc/text/stk_sprintf_colvect.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/text/stk_sprintf_colvect.m ***** shared s ***** test s = stk_sprintf_colvect ([1 1e1], 6); ***** assert (isequal (s, [' 1'; '10'])) ***** test s = stk_sprintf_colvect ([1 1e3], 6); ***** assert (isequal (s, [' 1'; '1000'])) ***** test s = stk_sprintf_colvect ([1 1e5], 6); ***** assert (isequal (s, [' 1'; '100000'])) ***** test s = stk_sprintf_colvect ([1 1e6], 6); ***** assert (isequal (s, ['1e+00'; '1e+06'])) 8 tests, 8 passed, 0 known failure, 0 skipped [inst/misc/text/stk_sprintf_colvect_fixedpoint.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/text/stk_sprintf_colvect_fixedpoint.m ***** shared x, s x = [1.2; 3.48]; ***** test s = stk_sprintf_colvect_fixedpoint(x, 1); ***** assert (isequal(s, ['1'; '3'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 2); ***** assert (isequal(s, ['1'; '3'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 3); ***** assert (isequal(s, ['1.2'; '3.5'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 4); ***** assert (isequal(s, ['1.20'; '3.48'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 5); ***** assert (isequal(s, ['1.20'; '3.48'])) ***** shared x, s x = [1.2; -3.48]; ***** test s = stk_sprintf_colvect_fixedpoint(x, 1); ***** assert (isequal(s, ['#'; '#'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 2); ***** assert (isequal(s, [' 1'; '-3'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 3); ***** assert (isequal(s, [' 1'; '-3'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 4); ***** assert (isequal(s, [' 1.2'; '-3.5'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 5); ***** assert (isequal(s, [' 1.20'; '-3.48'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 6); ***** assert (isequal(s, [' 1.20'; '-3.48'])) ***** shared x, s x = [0.2; 0.48]; ***** test s = stk_sprintf_colvect_fixedpoint(x, 1); ***** assert (isequal(s, ['0'; '0'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 2); ***** assert (isequal(s, ['0'; '0'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 3); ***** assert (isequal(s, ['0.2'; '0.5'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 4); ***** assert (isequal(s, ['0.20'; '0.48'])) ***** test s = stk_sprintf_colvect_fixedpoint(x, 5); ***** assert (isequal(s, ['0.20'; '0.48'])) 32 tests, 32 passed, 0 known failure, 0 skipped [inst/misc/text/stk_sprintf_colvect_scientific.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/text/stk_sprintf_colvect_scientific.m ***** shared x, s x = [1.2; -34567]; ***** test s = stk_sprintf_colvect_scientific(x, 1); ***** assert (isequal(s, ['#'; '#'])) ***** test s = stk_sprintf_colvect_scientific(x, 3); ***** assert (isequal(s, ['###'; '###'])) ***** test s = stk_sprintf_colvect_scientific(x, 5); ***** assert (isequal(s, ['#####'; '#####'])) ***** test s = stk_sprintf_colvect_scientific(x, 6); ***** assert (isequal(s, [' 1e+00'; '-3e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 7); ***** assert (isequal(s, [' 1e+00'; '-3e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 8); ***** assert (isequal(s, [' 1.2e+00'; '-3.5e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 9); ***** assert (isequal(s, [' 1.20e+00'; '-3.46e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 10); ***** assert (isequal(s, [' 1.200e+00'; '-3.457e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 11); ***** assert (isequal(s, [' 1.2000e+00'; '-3.4567e+04'])) ***** test s = stk_sprintf_colvect_scientific(x, 12); ***** assert (isequal(s, [' 1.2000e+00'; '-3.4567e+04'])) ***** shared x, s x = [0.9; 0.91; 0.99; 0.999]; ***** test s = stk_sprintf_colvect_scientific (x, 4); ***** assert (isequal(s, ['####'; '####'; '####'; '####'])) ***** test s = stk_sprintf_colvect_scientific (x, 5); ***** assert (isequal(s, ['9e-01'; '9e-01'; '1e+00'; '1e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 6); ***** assert (isequal(s, ['9e-01'; '9e-01'; '1e+00'; '1e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 7); ***** assert (isequal(s, ['9.0e-01'; '9.1e-01'; '9.9e-01'; '1.0e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 8); ***** assert (isequal(s, ['9.00e-01'; '9.10e-01'; '9.90e-01'; '9.99e-01'])) ***** shared x, s x = [0.9; -0.91; 0.99; 0.999]; ***** test s = stk_sprintf_colvect_scientific (x, 4); ***** assert (isequal(s, ['####'; '####'; '####'; '####'])) ***** test s = stk_sprintf_colvect_scientific (x, 5); ***** assert (isequal(s, ['#####'; '#####'; '#####'; '#####'])) ***** test s = stk_sprintf_colvect_scientific (x, 6); ***** assert (isequal(s, [' 9e-01'; '-9e-01'; ' 1e+00'; ' 1e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 7); ***** assert (isequal(s, [' 9e-01'; '-9e-01'; ' 1e+00'; ' 1e+00'])) ***** test s = stk_sprintf_colvect_scientific (x, 8); ***** assert (isequal(s, [' 9.0e-01'; '-9.1e-01'; ' 9.9e-01'; ' 1.0e+00'])) ***** test x = [1e6; -1e10; 1e-221]; s = stk_sprintf_colvect_scientific(x, 10); assert(isequal(s, [' 1e+006'; '-1e+010'; ' 1e-221'])); 41 tests, 41 passed, 0 known failure, 0 skipped [inst/misc/text/stk_disp_progress.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/text/stk_disp_progress.m ***** error stk_disp_progress ('toto ', 0, 1); ***** test stk_disp_progress ('toto ', 1, 1); warning: implicit conversion from numeric to char warning: called from stk_disp_progress at line 53 column 1 __test__ at line 2 column 3 test at line 677 column 11 /tmp/tmp.LZIeC2lnPQ at line 38 column 31 toto ***** error stk_disp_progress ('toto ', 2, 1); ***** test stk_disp_progress ('toto ', 1, 2); stk_disp_progress ('toto ', 2, 2); warning: implicit conversion from numeric to char warning: called from stk_disp_progress at line 53 column 1 __test__ at line 3 column 2 test at line 677 column 11 /tmp/tmp.LZIeC2lnPQ at line 38 column 31 toto toto 4 tests, 4 passed, 0 known failure, 0 skipped [inst/misc/pareto/stk_paretofind.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/pareto/stk_paretofind.m ***** shared x, ndpos, drank x = [ ... 0 2; ... 2 2; ... ]; ***** test [ndpos, drank] = stk_paretofind (x); ***** assert (isequal (ndpos, 1)); ***** assert (isequal (drank, [0; 1])); ***** shared x, ndpos, drank x = [ ... 3 2; ... 2 2; ... ]; ***** test [ndpos, drank] = stk_paretofind (x); ***** assert (isequal (ndpos, 2)); ***** assert (isequal (drank, [1; 0])); ***** shared x, ndpos, drank x = [ ... 1 0; ... 2 0; ... 0 2; ... 2 2; ... -1 3 ]; ***** test [ndpos, drank] = stk_paretofind (x); ***** assert (isequal (ndpos, [5; 3; 1])); ***** assert (isequal (drank, [0; 3; 0; 2; 0])); ***** shared x, ndpos, drank x = [ ... 1 0; ... 2 0; ... 0 2; ... 2 2; ... -1 3; ... -1 4; ... 2 2 ]; ***** test [ndpos, drank] = stk_paretofind (x); ***** assert (isequal (ndpos, [5; 3; 1])); ***** assert (isequal (drank, [0; 3; 0; 2; 0; 1; 2])); 12 tests, 12 passed, 0 known failure, 0 skipped [inst/misc/pareto/stk_isdominated.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/pareto/stk_isdominated.m ***** test A = [1 3 2]; B = [0 0 0]; [isdom, dpos] = stk_isdominated (A, B); assert (isdom == 1); assert (dpos == 1); ***** test A = [1 3 2]; B = [0 0 3]; [isdom, dpos] = stk_isdominated (A, B); assert (isdom == 0); assert (dpos == 0); ***** test A = [1 3 2]; B = [0 0 0; 0 0 3]; [isdom, dpos] = stk_isdominated (A, B); assert (isdom == 1); assert (dpos == 1); ***** test A = [1 3 2]; B = [0 0 3; 0 0 0]; [isdom, dpos] = stk_isdominated (A, B); assert (isdom == 1); assert (dpos == 2); ***** test A = [1 3 2; 1 0 1; -1 0 0; 1 3 2]; B = [1 0 0; 0 0 3; 0 0 0]; [isdom, dpos] = stk_isdominated (A, B); assert (isequal (isdom, logical ([1; 1; 0; 1]))); assert (isequal (dpos, [3; 3; 0; 3])); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/misc/pareto/stk_dominatedhv.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/pareto/stk_dominatedhv.m ***** error hv = stk_dominatedhv (); ***** error hv = stk_dominatedhv (-y, 'incorrect ref type'); ***** error hv = stk_dominatedhv (-y, [0 0]); ***** error hv = stk_dominatedhv (-y, [0 0 0 0 0], 0, 'too many input args'); ***** shared y, hv0 % Example from README.TXT in WFG 1.10 y = [ ... 0.598 0.737 0.131 0.916 6.745; ... 0.263 0.740 0.449 0.753 6.964; ... 0.109 8.483 0.199 0.302 8.872 ]; hv0 = 1.1452351120; ***** test hv = stk_dominatedhv (-y); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test yy = stk_dataframe (- y); % Check that @stk_dataframe inputs are accepted hv = stk_dominatedhv (yy); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test hv = stk_dominatedhv (-y, [], 0); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test hv = stk_dominatedhv (-y, [0 0 0 0 0]); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test hv = stk_dominatedhv (1 - y, [1 1 1 1 1]); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** test r = stk_dominatedhv (-y, [], 1); hv = sum (r.sign .* prod (r.xmax - r.xmin, 2)); assert (stk_isequal_tolrel (hv, hv0, 1e-10)); ***** shared y1, y2, y0, S, S1 y0 = [1.00 1.00]; % Reference point y1 = [1.50 1.50]; % Above the reference point y2 = [0.50 0.50]; % Below the reference point ***** assert (isequal (0.00, stk_dominatedhv (y1, y0))); ***** assert (isequal (0.25, stk_dominatedhv (y2, y0))); ***** assert (isequal (0.25, stk_dominatedhv ([y1; y2], y0))); ***** assert (isequal (0.25, stk_dominatedhv ([y2; y1; y2], y0))); ***** test S = stk_dominatedhv (y1, y0, 1); % empty decomposition ***** assert (isequal (size (S.xmin, 1), 0)); ***** test S = stk_dominatedhv (y2, y0, 1); % trivial decomposition ***** assert (isequal (S.sign, 1)); ***** assert (isequal (S.xmin, y2)); ***** assert (isequal (S.xmax, y0)); ***** test S1 = stk_dominatedhv ([y2; y0], y0, 1); % shoud be the same as before ***** assert (isequal (S1, S)); ***** test S1 = stk_dominatedhv ([y2; y1], y0, 1); % shoud be the same as before ***** assert (isequal (S1, S)); ***** test S1 = stk_dominatedhv ([y2; y2], y0, 1); % shoud be the same as before ***** assert (isequal (S1, S)); ***** test for d = 1:10, y = - 0.5 * ones (1, d); hv = stk_dominatedhv (y); assert (isequal (stk_dominatedhv (y), 0.5 ^ d)); end ***** test for d = 1:10, y = - 0.5 * ones (1, d); r = stk_dominatedhv (y, [], 1); hv = sum (r.sign .* prod (r.xmax - r.xmin, 2)); assert (isequal (stk_dominatedhv (y), 0.5 ^ d)); end ***** shared y, y_ref, dv, hv0 y1 = [0.25 0.75]; y2 = [0.50 0.50]; y3 = [0.75 0.25]; y_ref = [1 1]; y = {[], y1, y2, y3; [y1; y2], [y1; y3], [y2; y3], [y1; y2; y3]}; dv = 0.25 ^ 2; hv0 = [0 3 4 3; 5 5 5 6] * dv; ***** test hv1 = stk_dominatedhv (y, y_ref); assert (isequal (hv0, hv1)); ***** test r = stk_dominatedhv (y, y_ref, 1); % Check the first decomposition, which should be empty assert (isempty (r(1).sign)); assert (isempty (r(1).xmin)); assert (isempty (r(1).xmax)); % Check the other decompositions for i = 2:6, hv2 = sum (r(i).sign .* prod (r(i).xmax - r(i).xmin, 2)); assert (isequal (hv0(i), hv2)); end ***** test y = (0.3:0.1:0.8)'; hv0 = 0.7; hv1 = stk_dominatedhv (y, 1); r = stk_dominatedhv (y, 1, true); hv2 = sum (r.sign .* prod (r.xmax - r.xmin, 2)); ***** test % four non-dominated points (hypervolume) zr = [1 1]; zi = [0.2 0.8; 0.4 0.6; 0.6 0.4; 0.8 0.2] P = perms (1:4); for i = 1:24 HV = stk_dominatedhv (zi(P(i, :), :), zr, 0); assert (stk_isequal_tolrel (HV, 0.4, 1e-15)); end zi = 0.2000 0.8000 0.4000 0.6000 0.6000 0.4000 0.8000 0.2000 ***** test % four non-dominated points (decomposition) zr = [1 1]; zi = [0.2 0.8; 0.4 0.6; 0.6 0.4; 0.8 0.2] P = perms (1:4); for i = 1:24 S = stk_dominatedhv (zi(P(i, :), :), zr, 1); HV = sum (S.sign .* prod (S.xmax - S.xmin, 2)); assert (stk_isequal_tolrel (HV, 0.4, 1e-15)); end zi = 0.2000 0.8000 0.4000 0.6000 0.6000 0.4000 0.8000 0.2000 ***** test % a case with 8 points and 5 objectives % http://sourceforge.net/p/kriging/tickets/33 yr = [1.03 0.91 0.96 1.99 16.2]; y = [ ... 0.8180 0.5600 0.1264 1.0755 1.2462; ... 0.8861 0.6928 0.2994 0.7228 0.9848; ... 0.9021 0.8829 0.6060 0.1642 0.4282; ... 0.9116 0.3097 0.8601 0.0468 0.2813; ... 0.9306 0.1429 0.6688 0.1462 1.3661; ... 0.9604 0.3406 0.4046 0.7239 1.8741; ... 0.9648 0.7764 0.5199 0.4098 1.3436; ... 0.9891 0.4518 0.7956 0.1164 1.2025]; hv1 = stk_dominatedhv (y, yr, 0); S = stk_dominatedhv (y, yr, 1); hv2 = sum (S.sign .* prod (S.xmax - S.xmin, 2)); assert (isequal (size (S.sign), [87 1])); assert (isequal (size (S.xmin), [87 5])); assert (isequal (size (S.xmax), [87 5])); assert (stk_isequal_tolrel (hv1, 1.538677420906463, 2 * eps)); assert (stk_isequal_tolrel (hv1, hv2, eps)); ***** test % with random data NREP = 5; for p = 1:5 for n = 1:10 for i = 1:NREP % Draw random data y = rand (n, p); y = - y ./ (norm (y)); % Compute hypervolume directly hv1 = stk_dominatedhv (y, [], 0); % Compute decomposition, then hypervolume R = stk_dominatedhv (y, [], 1); hv2 = sum (R.sign .* prod (R.xmax - R.xmin, 2)); % Compare results assert (stk_isequal_tolabs (hv1, hv2, eps)); end end end 35 tests, 35 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_normal_pdf.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/distrib/stk_distrib_normal_pdf.m ***** assert (stk_isequal_tolrel (stk_distrib_normal_pdf ([1; 3], 1, [1 10]), ... [1 / sqrt(2 * pi) ... % normpdf ((1 - 1) / 1) 0.1 / sqrt(2 * pi); ... % normpdf ((1 - 1) / 10) / 10 exp(-2) / sqrt(2 * pi) ... % normpdf ((3 - 1) / 1) 3.910426939754558780e-2 ... % normpdf ((3 - 1) / 10) / 10 ], eps)); ***** assert (isequal (stk_distrib_normal_pdf (inf), 0.0)); ***** assert (isequal (stk_distrib_normal_pdf (-inf), 0.0)); ***** assert (isnan (stk_distrib_normal_pdf (nan))); ***** assert (isnan (stk_distrib_normal_pdf (0, 0, -1))); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_student_pdf.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/distrib/stk_distrib_student_pdf.m ***** assert (stk_isequal_tolrel ( ... stk_distrib_student_pdf ([1; 3], [1; 2], [0 1], [1 10]), ... [0.50 / pi ... % tpdf ((1 - 1) / 10, 1) 0.10 / pi; ... % tpdf ((1 - 1) / 10, 1) / 10 1 / (11 * sqrt(11)) ... % tpdf ((3 - 0) / 1, 2) / 1 3.4320590294804165e-02 ... % tpdf ((3 - 1) / 10, 2) / 10 ], eps)); ***** assert (isequal (stk_distrib_student_pdf ( inf, 1.0), 0.0)); ***** assert (isequal (stk_distrib_student_pdf (-inf, 1.0), 0.0)); ***** assert (isnan (stk_distrib_student_pdf ( nan, 1.0))); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_normal_ei.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/distrib/stk_distrib_normal_ei.m ***** assert (stk_isequal_tolrel (stk_distrib_normal_ei (0.0), 1 / sqrt (2 * pi), eps)) ***** test % Decreasing as a function of z ei = stk_distrib_normal_ei (linspace (-10, 10, 200)); assert (all (diff (ei) < 0)) ***** shared M, mu, sigma, ei M = randn (1, 10); mu = randn (5, 1); sigma = 1 + rand (1, 1, 7); ei = stk_distrib_normal_ei (M, mu, sigma); ***** assert (isequal (size (ei), [5, 10, 7])) ***** assert (all (ei(:) >= 0)) ***** assert (isequal (ei, stk_distrib_normal_ei (M, mu, sigma, false))); ***** assert (isequal (ei, stk_distrib_normal_ei (-M, -mu, sigma, true))); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_bivnorm_cdf.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/distrib/stk_distrib_bivnorm_cdf.m ***** test z1 = [0 1; -1 2]; z2 = [0 1; 1 -2]; z = cat (3, z1, z2); % 2 x 2 x 2 mu1 = 0; % 1 x 1 x 1 mu2 = [0 1]; % 1 x 2 x 1 sigma1 = [1 3]; % 1 x 2 x 1 sigma2 = [1; 2]; % 2 x 1 x 1 rho = [0; 0.5]; % 2 x 1 x 1 %% BROADCASTING => the result will be a 2 x 2 matrix p = stk_distrib_bivnorm_cdf (z, mu1, mu2, sigma1, sigma2, rho); p11 = 0.25; % mvncdf ([ 0 0], [0 0], [1 0; 0 1]); p12 = 0.315279329909118; % mvncdf ([ 1 1], [0 1], [9 0; 0 1]); p21 = 0.146208349559646; % mvncdf ([-1 1], [0 0], [1 1; 1 4]); p22 = 0.064656239880040; % mvncdf ([ 2 -2], [0 1], [9 3; 3 4]); assert (stk_isequal_tolabs (p, [p11 p12; p21 p22], 1e-14)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf -inf], 0, 0, 1, 1, 0); assert ((p == 0.0) && (q == 1.0)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf -10], 0, 0, 1, 1, 0); assert (stk_isequal_tolrel (p, 7.619853024160489e-24, 1e-12)) assert (q == 1.0) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf 0], 0, 0, 1, 1, 0); assert (stk_isequal_tolrel (p, 0.5, 1e-12)) assert (stk_isequal_tolrel (q, 0.5, 1e-12)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf 10], 0, 0, 1, 1, 0); assert (p == 1.0); assert (stk_isequal_tolrel (q, 7.619853024160489e-24, 1e-12)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf inf], 0, 0, 1, 1, 0); assert ((p == 1.0) && (q == 0.0)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([-inf inf], 0, 0, 1, 1, 0); assert ((p == 0.0) && (q == 1.0)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([-10 inf], 0, 0, 1, 1, 0); assert (stk_isequal_tolrel (p, 7.619853024160489e-24, 1e-12)) assert (q == 1.0) ***** test [p, q] = stk_distrib_bivnorm_cdf ([0 inf], 0, 0, 1, 1, 0); assert (stk_isequal_tolrel (p, 0.5, 1e-12)) assert (stk_isequal_tolrel (q, 0.5, 1e-12)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([10 inf], 0, 0, 1, 1, 0); assert (p == 1.0); assert (stk_isequal_tolrel (q, 7.619853024160489e-24, 1e-12)) ***** test [p, q] = stk_distrib_bivnorm_cdf ([inf inf], 0, 0, 1, 1, 0); assert ((p == 1.0) && (q == 0.0)) ***** test % A mixture of singular and non-singular cases p = stk_distrib_bivnorm_cdf ([0 0], 0, 0, [1; 0], 1, 0); assert (isequal (p, [0.25; 0.5])); 12 tests, 12 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_student_ei.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/distrib/stk_distrib_student_ei.m ***** assert (stk_isequal_tolrel (stk_distrib_student_ei (0, 2), 1 / sqrt (2), eps)) ***** test % Decreasing as a function of z ei = stk_distrib_student_ei (linspace (-10, 10, 200), 3.33); assert (all (diff (ei) < 0)) ***** shared M, mu, sigma, ei, nu M = randn (1, 10); mu = randn (5, 1); sigma = 1 + rand (1, 1, 7); nu = 2; ei = stk_distrib_student_ei (M, nu, mu, sigma); ***** assert (isequal (size (ei), [5, 10, 7])) ***** assert (all (ei(:) >= 0)) ***** assert (isequal (ei, stk_distrib_student_ei (M, nu, mu, sigma, false))); ***** assert (isequal (ei, stk_distrib_student_ei (-M, nu, -mu, sigma, true))); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_student_cdf.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/distrib/stk_distrib_student_cdf.m ***** assert (stk_isequal_tolrel ( ... stk_distrib_student_cdf ([-1; 0; 1], [1 2], 0, [1 10]), ... [0.25, ... % tcdf ((-1 - 0)/1, 1) 4.6473271920707004e-01; ... % tcdf ((-1 - 0)/10, 2) 0.50, ... % tcdf (( 0 - 0)/1, 1) 0.50; ... % tcdf (( 0 - 0)/10, 2) 0.75, ... % tcdf (( 1 - 0)/1, 1) 5.3526728079292996e-01 ... % tcdf (( 1 - 0)/10, 2) ], 4 * eps)) ***** test [p, q] = stk_distrib_student_cdf (1e10, 2); assert (isequal (p, 1.0)); assert (stk_isequal_tolrel (q, 4.999999999999999999925e-21, 10 * eps)); ***** assert (isequal (stk_distrib_student_cdf (0.0, 1), 0.5)); ***** assert (isequal (stk_distrib_student_cdf (inf, 1), 1.0)); ***** assert (isequal (stk_distrib_student_cdf (-inf, 1), 0.0)); ***** assert (isnan (stk_distrib_student_cdf (nan, 1))); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_normal_crps.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/distrib/stk_distrib_normal_crps.m ***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (0.0, 0.0, 0.0), 0.0)) ***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (0.0, 0.0, 1.0), (sqrt(2) - 1)/sqrt(pi))) ***** shared n, x_obs, mu, sigma, crps, crps_exp x_obs = [ 1.78; -2.29; -1.62; -5.89; 2.88; 0.65; 2.74; -3.42]; % observations mu = [-0.31; -0.59; 1.48; -1.57; -0.05; -0.27; 1.05; 1.27]; % predictions sigma = [ 2.76; 6.80; 1.63; 1.19; 4.98; 9.60; 5.85; 2.24]; % standard dev n = size(x_obs, 1); crps = stk_distrib_normal_crps (x_obs, mu, sigma); ***** assert (isequal (size (crps), [n, 1])) ***** assert (all (crps >= 0)) ***** assert (stk_isequal_tolabs (crps, stk_distrib_normal_crps(mu, x_obs, sigma))) ***** assert (stk_isequal_tolabs (stk_distrib_normal_crps (x_obs, mu, 0), abs (x_obs - mu))) crps_ref = [ ... 1.247856605928301 ... 1.757798727719891 ... 2.216236225997414 ... 3.648696666764968 ... 1.832355265287495 ... 2.278618297947438 ... 1.560544734359158 ... 3.455697443411153 ]; assert (stk_isequal_tolabs (crps, crps_ref, 1e-10)); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/distrib/stk_distrib_normal_cdf.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/distrib/stk_distrib_normal_cdf.m ***** assert (stk_isequal_tolrel (stk_distrib_normal_cdf ([1; 3], 1, [1 10]), ... [0.5, ... % normcdf ((1 - 1) / 1) 0.5; ... % normcdf ((1 - 1) / 10) 0.5 * erfc(-sqrt(2)), ... % normcdf ((3 - 1) / 1) 0.5 * erfc(-0.1*sqrt(2)) ... % normcdf ((3 - 1) / 10) ], eps)); ***** test [p, q] = stk_distrib_normal_cdf (10); assert (isequal (p, 1.0)); assert (stk_isequal_tolrel (q, 7.6198530241604975e-24, eps)); ***** assert (isequal (stk_distrib_normal_cdf ( 0.0), 0.5)); ***** assert (isequal (stk_distrib_normal_cdf ( inf), 1.0)); ***** assert (isequal (stk_distrib_normal_cdf (-inf), 0.0)); ***** assert (isnan (stk_distrib_normal_cdf ( nan))); ***** assert (isnan (stk_distrib_normal_cdf (0, 0, -1))); ***** assert (isequal (stk_distrib_normal_cdf (0, 0, 0), 1.0)); ***** assert (isequal (stk_distrib_normal_cdf (0, 1, 0), 0.0)); ***** assert (isequal (stk_distrib_normal_cdf (1, 0, 0), 1.0)); 10 tests, 10 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_filldist.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/dist/stk_filldist.m ***** test %%% exact d = 3; x = rand(7, d); box = repmat([0; 1], 1, d); fd1 = stk_filldist(x, box); fd2 = stk_filldist(stk_dataframe(x), stk_dataframe(box)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test %%% discretized d = 3; x = rand(7, d); y = rand(20, d); fd1 = stk_filldist(x, y); fd2 = stk_filldist(stk_dataframe(x), stk_dataframe(y)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test n = 5; % must be bigger than 2 for dim = 1:10, x = rand(n, dim); fd = stk_filldist(x, x); assert(stk_isequal_tolabs(fd, 0.0)); end ***** test %%% exact for dim = 1:6, x = 0.5 * ones(1, dim); fd = stk_filldist(x); % [0; 1]^d is the default box assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test %%% discretized for dim = 1:6, x = 0.5 * ones(1, dim); y = stk_sampling_regulargrid(2^dim, dim); % [0; 1]^d is the default box fd = stk_filldist(x, y); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], box = repmat([1; 2], 1, dim); x = 1 + 0.5 * ones(1, dim); fd = stk_filldist(x, box); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test dim = 3; box = repmat([-1; 1], 1, dim); x = stk_sampling_randunif(20, dim, box); y = stk_sampling_regulargrid(3^dim, dim, box); fd1 = stk_filldist(x, box); fd2 = stk_filldist(x, y); assert(fd1 >= fd2 - 10 * eps); ***** test %%% exact for dim = [1 3 7], x = zeros(1, dim); [fd, ymax] = stk_filldist_exact(x); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end ***** test %%% discretized for dim = [1 3 7], x = zeros(1, dim); y = stk_sampling_regulargrid(3^dim, dim); [fd, ymax] = stk_filldist(x, y); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end 9 tests, 9 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_mindist.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/dist/stk_mindist.m ***** test d = 3; x = rand(7, d); md1 = stk_mindist(x); md2 = stk_mindist(stk_dataframe(x)); assert(stk_isequal_tolabs(md1, md2)); ***** test for nc = [0 5 10], x = zeros(0, nc); d = stk_mindist(x); assert(isempty(d)); end ***** test for nc = [0 5 10], x = rand(1, nc); d = stk_mindist(x); assert(isempty(d)); end ***** test for nr = [2 5 10], x = zeros(nr, 0); d = stk_mindist(x); assert(isequal(d, 0.0)); end ***** test nrep = 20; TOL_REL = 1e-15; for irep = 1:nrep, n = 2 + floor(rand * 10); d = 1 + floor(rand * 10); x = rand(n, d); z = stk_mindist(x); assert(isequal(size(d), [1, 1])); assert(~isnan(d)); assert(~isinf(d)); % check the result mindist = Inf; for i = 1:(n-1), for j = (i+1):n, mindist = min(mindist, norm(x(i,:) - x(j,:))); end end assert(abs(z - mindist) <= TOL_REL * mindist); end 5 tests, 5 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_filldist_discretized.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/dist/stk_filldist_discretized.m ***** error stk_filldist_discretized(0.0) % incorrect nb of arguments ***** error stk_filldist_discretized(0.0, []) % second arg is empty ***** error stk_filldist_discretized([], 0.0) % first arg is empty ***** test d = 3; x = rand(7, d); y = rand(20, d); fd1 = stk_filldist_discretized(x, y); fd2 = stk_filldist_discretized(stk_dataframe(x), stk_dataframe(y)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test n = 5; for dim = 1:10, x = rand(n, dim); fd = stk_filldist_discretized(x, x); assert(stk_isequal_tolabs(fd, 0.0)); end ***** test for dim = 1:10, x = rand(1, dim); y = rand(1, dim); fd = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, norm(x - y))); end ***** test n = 4; for dim = 2:10, x = zeros(n, dim); y = rand(1, dim); fd = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, max(stk_dist(x, y)))); end ***** test for dim = [1 3 6], x = 0.5 * ones(1, dim); y = stk_sampling_regulargrid(2^dim, dim); % [0; 1]^d is the default box fd = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], x = zeros(1, dim); y = stk_sampling_regulargrid(3^dim, dim); [fd, ymax] = stk_filldist_discretized(x, y); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end 9 tests, 9 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_dist.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/dist/stk_dist.m ***** error stk_dist(); ***** error stk_dist(0, 0, 0); ***** error stk_dist(0, 0, 0, 0); ***** error stk_dist(0, ones(1, 2)); ***** error stk_dist(eye(3), ones(1, 2)); ***** error stk_dist(ones(2, 1), zeros(2)); ***** shared x, y, z x = zeros(11, 5); y = zeros(13, 5); z = ones(7, 5); ***** test Dx = stk_dist(x); assert(isequal(Dx, zeros(11))); ***** test Dxx = stk_dist(x, x); assert(isequal(Dxx, zeros(11))); ***** test Dxy = stk_dist(x, y); assert(isequal(Dxy, zeros(11, 13))); ***** test Dzz = stk_dist(z, z); assert(isequal(Dzz, zeros(7))); ***** test Dxz = stk_dist(x, z); assert(stk_isequal_tolabs(Dxz, sqrt(5)*ones(11, 7))); ***** test x = randn(5,3); y = randn(5,3); D1 = stk_dist(x, y, true); % pairwise D2 = stk_dist(x, y); assert(stk_isequal_tolabs(D1, diag(D2))); ***** test x = randn(5,3); D1 = stk_dist(x, [], true); % pairwise assert(stk_isequal_tolabs(D1, zeros(5, 1))); D1 = stk_dist(x, x, true); % pairwise assert(stk_isequal_tolabs(D1, zeros(5, 1))); 13 tests, 13 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_filldist_exact.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/dist/stk_filldist_exact.m ***** test d = 3; x = rand(7, d); box = repmat([0; 1], 1, d); fd1 = stk_filldist_exact(x, box); fd2 = stk_filldist_exact(stk_dataframe(x), stk_dataframe(box)); assert(stk_isequal_tolabs(fd1, fd2)); ***** test for dim = 1:6, x = 0.5 * ones(1, dim); fd = stk_filldist_exact(x); % [0; 1]^d is the default box assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], box = repmat([1; 2], 1, dim); x = 1 + 0.5 * ones(1, dim); fd = stk_filldist_exact(x, box); assert(stk_isequal_tolabs(fd, 0.5 * sqrt(dim))); end ***** test for dim = [1 3 7], x = zeros(1, dim); [fd, ymax] = stk_filldist_exact(x); assert(stk_isequal_tolabs(fd, sqrt(dim))); assert(stk_isequal_tolabs(ymax, ones(1, dim))); end 4 tests, 4 passed, 0 known failure, 0 skipped [inst/misc/dist/stk_gpquadform.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/dist/stk_gpquadform.m ***** shared x, y, z, rx, ry, rz x = rand(5, 2); rx = rand(5, 2) + 1; y = rand(6, 2); ry = rand(6, 2) + 1; z = rand(5, 3); rz = rand(5, 3) + 1; ***** error Q = stk_gpquadform(x, ry, y, ry) ***** error Q = stk_gpquadform(x, rz, y, ry) ***** error Q = stk_gpquadform(x, rx, y, rx) ***** error Q = stk_gpquadform(x, rx, y, rz) ***** error Q = stk_gpquadform(x, rx, z, ry) ***** shared x, y, z, rx, ry, rz x = zeros (11, 5); rx = 1/sqrt(2) * ones (11, 5); y = zeros (13, 5); ry = 1/sqrt(2) * ones (13, 5); z = ones ( 7, 5); rz = 1/sqrt(2) * ones ( 7, 5); ***** test Qx = stk_gpquadform(x, [], rx); assert(isequal(Qx, zeros(11))); ***** test Qxx = stk_gpquadform(x, x, rx, rx); assert(isequal(Qxx, zeros(11))); ***** test Qxy = stk_gpquadform(x, y, rx, ry); assert(isequal(Qxy, zeros(11, 13))); ***** test Qzz = stk_gpquadform(z, [], rz); assert(isequal(Qzz, zeros(7))); ***** test Qxz = stk_gpquadform(x, z, rx, rz); assert(stk_isequal_tolabs(Qxz, 5 * ones(11, 7))); ***** test x = randn(5, 3); rx = 1 + rand(5, 3); y = randn(5, 3); ry = 1 + rand(5, 3); Q1 = stk_gpquadform(x, y, rx, ry, true); % pairwise Q2 = stk_gpquadform(x, y, rx, ry, false); assert(isequal(size(Q1), [5 1])); assert(isequal(size(Q2), [5 5])); assert(stk_isequal_tolabs(Q1, diag(Q2))); ***** test x = randn(5, 3); rx = 1 + rand(5, 3); Q1 = stk_gpquadform(x, [], rx, [], true); % pairwise assert(stk_isequal_tolabs(Q1, zeros(5, 1))); Q1 = stk_gpquadform(x, x, rx, rx, true); % pairwise assert(stk_isequal_tolabs(Q1, zeros(5, 1))); ***** shared x, y, z, rx, ry, rz x = zeros (11, 5); rx = 2 * ones (11, 5); y = zeros (13, 5); ry = 2 * ones (13, 5); z = ones ( 7, 5); rz = 2 * ones ( 7, 5); ***** test Qx = stk_gpquadform(x, [], rx); assert(isequal(Qx, zeros(11))); ***** test Qxx = stk_gpquadform(x, x, rx, rx); assert(isequal(Qxx, zeros(11))); ***** test Qxy = stk_gpquadform(x, y, rx, ry); assert(isequal(Qxy, zeros(11, 13))); ***** test Qzz = stk_gpquadform(z, [], rz); assert(isequal(Qzz, zeros(7))); ***** test Qxz = stk_gpquadform(x, z, rx, rz); assert(stk_isequal_tolabs(Qxz, 5/8 * ones(11, 7))); 17 tests, 17 passed, 0 known failure, 0 skipped [inst/misc/design/stk_phipcrit.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/design/stk_phipcrit.m ***** shared x x = [0, 0.2, 0.4, 0.6, 0.8, 1.0; 0, 0.6, 0.8, 1.0, 0.2, 0.4]'; ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 10), 3.946317664423303, 1e-15)) ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 50), 3.614077252813102, 1e-15)); ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 100), 3.574589859827413, 1e-15)); ***** assert (stk_isequal_tolabs ... (stk_phipcrit (x, 1e9), 1 / stk_mindist (x), 1e-8)); ***** assert (isequal (stk_phipcrit (ones (2)), Inf)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/misc/design/stk_maxabscorr.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/design/stk_maxabscorr.m ***** assert (stk_isequal_tolabs (0.0, ... % Test on an OLHS(5) stk_maxabscorr ([0.4 0.8 0 -0.4 -0.8; -0.8 0.4 0 0.8 -0.4]'))); 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/test/stk_test.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/test/stk_test.m ***** assert(isempty([])) % support for test assert shorthand ***** assert((1 + 1) == 2) ***** test a=1; ***** test assert(~exist('a')); ***** shared a % create a shared variable ***** test a = 3; % assign to a shared variable ***** test assert(a == 3); % variable should equal 3 in this second 'test' block ***** shared b, c % replace shared variables {'a'} --> {'b', 'c'} ***** test assert(~exist('a')); % a no longer exists ***** test assert(isempty(b)); % variables start off empty ***** shared a % recreate a shared variable that had been deleted ***** test assert (isempty(a)); % it is empty, even though it was equal to 3 before ***** shared a, b, c % creates three shared variables a = 1; b = 2; c = 3; % give values to all variables, in the same block ***** assert(isequal([a, b, c], [1, 2, 3])); % test all of them together ***** test c=6; % update a value ***** test % show that the update sticks between blocks assert(isequal([a, b, c], [1, 2, 6])); ***** shared % clear all shared variables ***** assert(~exist('a')) % show that they are cleared ***** error test % not enough input arguments ***** error test(1, 2, 3, 4) % too many input args ***** error garbage % usage on nonexistent function should be ***** error stt_test('test', 'bogus'); % undefined function error ***** error stk_test('test', 'bogus'); % error raised by stk_test itself ***** error stk_test(); ***** error stk_test('disp', 'verbose', [], 'extra arg !!!'); ***** error stk_test([]) ***** error stk_test(0.0) ***** error stk_test('stk_mindist', 0.0) ***** error stk_test('stk_mindist', 'dudule') 24 tests, 24 passed, 0 known failure, 0 skipped [inst/misc/test/stk_isequal_tolrel.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/test/stk_isequal_tolrel.m ***** shared r1, r2, r3, a, b, tolrel a = 1.01; b = 1.02; tolrel = 0.1; ***** error rr = stk_isequal_tolrel(); ***** error rr = stk_isequal_tolrel(a); ***** test r1 = stk_isequal_tolrel(a, b); ***** test r2 = stk_isequal_tolrel(a, b, tolrel); ***** test r3 = stk_isequal_tolrel(a, [b b]); ***** test assert (isequal (r1, false)); ***** test assert (isequal (r2, true)); ***** test assert (isequal (r3, false)); ***** test a = struct('u', []); b = struct('v', []); assert(~ stk_isequal_tolrel(a, b)) ***** test a = struct('u', 1.01); b = struct('u', 1.02); assert(stk_isequal_tolrel(a, b, tolrel)) 10 tests, 10 passed, 0 known failure, 0 skipped [inst/misc/test/stk_isequal_tolabs.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/test/stk_isequal_tolabs.m ***** shared r1, r2, a, b, tolabs a = 1.01; b = 1.02; tolabs = 0.1; ***** error rr = stk_isequal_tolabs(); ***** error rr = stk_isequal_tolabs(a); ***** test r1 = stk_isequal_tolabs(a, b); ***** test r2 = stk_isequal_tolabs(a, b, tolabs); ***** test assert(~r1); ***** test assert(r2); ***** test a = struct('u', []); b = struct('v', []); assert(~ stk_isequal_tolabs(a, b)) ***** test a = struct('u', 1.01); b = struct('u', 1.02); assert(stk_isequal_tolabs(a, b, tolabs)) 8 tests, 8 passed, 0 known failure, 0 skipped [inst/misc/optim/stk_minimize_unconstrained.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/optim/stk_minimize_unconstrained.m ***** test % Call fminsearch using function name if stk_optim_isavailable ('fminsearch') assert (stk_optim_testmin_unc ('fminsearch')); end ***** test % Call fminsearch directly, using algorithm object if stk_optim_isavailable ('fminsearch') algo = stk_optim_fminsearch ('TolX', 1e-12, 'TolFun', 1e-12); assert (stk_optim_testmin_unc (algo)); end ***** test % Call sqp using function name if stk_optim_isavailable ('octavesqp') assert (stk_optim_testmin_unc ('octavesqp')); end ***** test % Call sqp directly, using algorithm object if stk_optim_isavailable ('octavesqp') algo = stk_optim_octavesqp (); assert (stk_optim_testmin_unc (algo)); end ***** error assert (stk_optim_testmin_unc ('InexistentOptimizer')); ***** error assert (stk_optim_testmin_unc (100)); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/optim/stk_optim_testmin_box.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/optim/stk_optim_testmin_box.m ***** shared algo algo = stk_options_get ('stk_param_estim', 'minimize_box'); ***** error b = stk_optim_testmin_box (); ***** assert (stk_optim_testmin_box (algo)); ***** assert (~ stk_optim_testmin_box ('dudule')); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/misc/optim/@stk_optim_octavesqp/stk_optim_octavesqp.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/optim/@stk_optim_octavesqp/stk_optim_octavesqp.m ***** test stk_test_class ('stk_optim_octavesqp') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/optim/@stk_optim_optimizer_/stk_optim_optimizer_.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/optim/@stk_optim_optimizer_/stk_optim_optimizer_.m ***** test stk_test_class ('stk_optim_optimizer_') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/optim/stk_minimize_boxconstrained.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/optim/stk_minimize_boxconstrained.m ***** test % Call fmincon using function name if stk_optim_isavailable ('fmincon') assert (stk_optim_testmin_box ('fmincon')); end ***** test % Call fmincon directly, using algorithm object if stk_optim_isavailable ('fmincon') algo = stk_optim_fmincon ('TolX', 1e-12, 'TolFun', 1e-12); assert (stk_optim_testmin_box (algo)); end ***** test % Call sqp using function name if stk_optim_isavailable ('octavesqp') assert (stk_optim_testmin_box ('octavesqp')); end ***** test % Call sqp directly, using algorithm object if stk_optim_isavailable ('octavesqp') algo = stk_optim_octavesqp (); assert (stk_optim_testmin_box (algo)); end ***** error assert (stk_optim_testmin_box ('InexistentOptimizer')); ***** error assert (stk_optim_testmin_box (100)); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/misc/optim/@stk_optim_fminsearch/stk_optim_fminsearch.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/optim/@stk_optim_fminsearch/stk_optim_fminsearch.m ***** test stk_test_class ('stk_optim_fminsearch') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/optim/stk_optim_testmin_unc.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/optim/stk_optim_testmin_unc.m ***** shared algo algo = stk_options_get ('stk_param_estim', 'minimize_unc'); ***** error b = stk_optim_testmin_unc (); ***** assert (stk_optim_testmin_unc (algo)); ***** assert (~ stk_optim_testmin_unc ('dudule')); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/misc/optim/@stk_optim_fmincon/stk_optim_fmincon.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/optim/@stk_optim_fmincon/stk_optim_fmincon.m ***** test stk_test_class ('stk_optim_fmincon') 1 test, 1 passed, 0 known failure, 0 skipped [inst/misc/error/stk_error.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/error/stk_error.m ***** shared errmsg, mnemonic, badstack errmsg = 'Go ahead, make my day.'; mnemonic = 'ClintEastwood'; badstack = 0; % not a valid stack structure ***** error stk_error(errmsg, mnemonic); ***** error stk_error (errmsg, mnemonic, badstack); ***** error id=STK:stk_error:InvalidArgument stk_error (errmsg, mnemonic, badstack); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/misc/parallel/@stk_parallel_engine_parfor/stk_parallel_engine_parfor.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/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] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/misc/parallel/@stk_parallel_engine_none/stk_parallel_engine_none.m ***** test stk_test_class ('stk_parallel_engine_none') 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc01.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/03_miscellaneous/stk_example_misc01.m ***** test stk_example_misc01; close all; #==========================# # stk_example_misc01 # #==========================# 'stk_example_misc01' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/examples/03_miscellaneous/stk_example_misc01.m STK_EXAMPLE_MISC01 Several correlation functions from the Matern family The Matern 1/2 correlation function is also known as the "exponential correla- tion function". This is the correlation function of an Ornstein-Ulhenbeck pro- cess. The Matern covariance function tends to the Gaussian correlation function when its regularity (smoothness) parameter tends to infinity. See also: stk_materncov_iso, stk_materncov_aniso Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc05.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/03_miscellaneous/stk_example_misc05.m ***** test stk_example_misc05; close all; assert (isa (model.lognoisevariance, 'stk_gaussiannoise_het0')); #==========================# # stk_example_misc05 # #==========================# 'stk_example_misc05' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/examples/03_miscellaneous/stk_example_misc05.m STK_EXAMPLE_MISC05 Parameter estimation for heteroscedastic noise variance DESCRIPTION We consider a 1d prediction problem with noisy data, where the variance of the noise depends on the input location. A simple heteroscedastic model is used, where the only parameter to be estimated is a dispersion parameter (the square of a scale parameter). More preciesely, the variance of the noise is assumed to be of the form tau^2(x) = phi * (x + 1) ^ 2, and the dispersion parameter phi is estimated together with the parameters of the covariance function. EXPERIMENTAL FEATURE WARNING This script demonstrates an experimental feature of STK (namely, gaussian noise model objects). STK users that wish to experiment with it are welcome to do so, but should be aware that API-breaking changes are likely to happen in future releases. We invite them to direct any questions, remarks or comments about this experimental feature to the STK mailing list. See also: stk_example_kb09 Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. model = scalar structure containing the fields: covariance_type = @stk_materncov52_iso lm = dim = 1 param = 0.066833 0.707310 lognoisevariance = gn = | | Heteroscedastic variance model: tau^2(x) = dispersion * variance_function(x) | | dispersion: 2.4169 [log_dispersion = 0.8825] | variance_function: @(x) (x + 1) .^ 2 | 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc02.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/03_miscellaneous/stk_example_misc02.m ***** test stk_example_misc02; close all; #==========================# # stk_example_misc02 # #==========================# 'stk_example_misc02' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/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 0.2 0.4 0.6 0.8 1 0 0.2 0.4 0.6 0.8 1 | prior std = 0.20 | prior std = 0.01 6 +|+ 6 +|+ | ### | # 4 +|+ #%%%%%% 4 +|+ #%%%%% 2 +|+%# #&&% %&&&&&&&& 2 +|+ %%# #&&&&&&&& &|&&==GG=====&&======predicted 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_misc03.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/03_miscellaneous/stk_example_misc03.m ***** test stk_example_misc03; close all; #==========================# # stk_example_misc03 # #==========================# 'stk_example_misc03' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/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 = 1.3711 -1.7112 lognoisevariance = -4.5564 model2 = scalar structure containing the fields: covariance_type = @stk_materncov52_iso lm = @(t) [ones(length (t), 1), sin(2 * pi * t / T0), cos(2 * pi * t / T0)] dim = 1 param = -9.5579 -8.1781 lognoisevariance = -4.5543 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/03_miscellaneous/stk_example_misc04.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/03_miscellaneous/stk_example_misc04.m ***** test stk_example_misc04; close all; #==========================# # stk_example_misc04 # #==========================# 'stk_example_misc04' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/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. Proba. of being dominated simulated Pareto fronts--| || | +@ $ @%$ &$*#@%+#& #+* | 1000 +---+-+---+--+-+---+ ++||00% | +@ $ @%$ &$*#@%+#& #+* | || | | | | | | || 400 +|+ @ $ @%$ &$*#@% #& #+*+| +| + + + + + + || |&&&&&&&&&&&&&&&&&&&&&&&&| | | || | @ $ @@$@&@*#@%@@@@@@@@| | | || 200 +|+ @ $ %$ & *#*% # &&&&&| 500 +---+ +---+ ++||5% | @ $ %$ & #*%********| | | || 0 +|+ @ $ %$ & #=%%%%%%%%%| | | || | @ $ %$ & # #######| | | || | @@$$$%$$&$$######second objective| | ++||0% -200 +|+ @@@@@@@@@@@@@@@@@@@@@| +---+ +---+ || | %$ ####| | | || | %$$$$$$$$$$$$$$$$| | | || -400 +|+ % +-+| -500 | | || | %%%%%%%%%%%%%%%%%| +---+ +---+ ++||5% | | | | || -600 +|+ +-+| | | || | | +| + + + + + + || |------------------------| -1000 |+-|--|---|--|--|--| || -800 +-++ + + + +-+ -+---+-100001002+---+0++-0% -2000-1000 0 1000 2000 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe01.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/02_design_of_experiments/stk_example_doe01.m ***** test stk_example_doe01; close all; #=========================# # stk_example_doe01 # #=========================# 'stk_example_doe01' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/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_doe04.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/02_design_of_experiments/stk_example_doe04.m ***** test stk_example_doe04; close all; #=========================# # stk_example_doe04 # #=========================# 'stk_example_doe04' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/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. ans = -101.64 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe05.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/02_design_of_experiments/stk_example_doe05.m ***** test stk_example_doe05; close all; #=========================# # stk_example_doe05 # #=========================# 'stk_example_doe05' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/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 +|+&&&XXXXX&&&&&&&&&&&&&&&&&%%%%&====XX******G*****XX&&&&&%%# z 0 +|+************G***********X&&==********X&&&&&===&X*******&&& -5 +|+&&&&&&&&&&&&&&&========****G**X&&&&&&&&%%####===&&&&XX***G |###%%%%%%### ##%%&&&&&&&&&&&&&&%%%%## #===%&&&&=== -10 +|------------------------------------------------------------ -15 +-+ + + + + + + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.5 +|+ + + *F* + + + +-+| +| + + ** ***+ + + +| 0.4 +|+ ** *** +**| 0.3 +|+ ** *** **+| AKG | ** *** ** | 0.2 +|+ ** ** ** +-+| 0.1 +|+ ** ** *** +-+| +|-----------------------------------------------------------| 0 *** +******* + + ************* +-+ 0 2 4 6 8 10 12 | 15 +|+ 10 +|+ #### ######## #|%%%%&&&&&%%%%######## #%%========&&% 5 +|+&&&XXXXX&&&&&&&&&&&&&&%%###%%&====XX******G=&&# z 0 +|+************G**********&&&&==*******XX&&&&&***&&# -5 +|+&&&&&&&&&&&&&&&=======*G***G*&&&&&&&&&%%%%%&&***&&% #&G #|##%%%%%%%### ##%%%%%%%%%%%%%%%%%%%### #%&=***&&&&**G -10 +|------------------------------------------------------------ -15 +-+ + + + + + ##### + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.08 +|+ + + + + + F* +-+| +| + + + + +* * +| 0.06 +|+ * * ***| | ** * * *| AKG0.04 +|+ * * *-+| | ** * * | 0.02 +|+ ** * *+-+| +|-----------------------------------------------------------| 0 *********************************************** + ** +-+ 0 2 4 6 8 10 12 | 20 +|+ ##### | ##%%%%%## ##%%%&&&%%# 10 +|+&&&&&&&&&&%###%%%%%%%# %%&&&====&&&&% &|&&XXXXXXXX&&&&&&&&&&&&&&%####%&=====*******G*&&# z 0 +|+************G**********G*&==*******XXX&&&&&***&% &|&&&XXXXX&&&&&&&&&========***G*&XXXX&&&&&%# %&&**=& #%&*G -10 +|+%%&&&&&&%%# #%%%&&%%%####%%&&&&&&%%## #&&GG**GG*GGG +|------------------------------------------------------------ -20 +-+ + + + + + + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.02 +|+ + + + + + +-+| +| + + + + + +| 0.015 +|+ *F +-+| | * * | AKG 0.01 +|+ * *+-+| | *** * * * | 0.005 +|+ ** ** *** * *-+| +|-----------------------------------------------------------| 0 ***** +*********************** ************+ * * +** 0 2 4 6 8 10 12 | 20 +|+ ##### | ##%%%%%## ##%%%&&&%%# 10 +|+&&&&&&&&&&%###%%%%%%%# %%&&&====&&&&% &|&&XXXXXXXX&&&&&&&&&&&&&&%####%&=====*******G*&&# z 0 +|+************G**********G*&==********XX&&&&&***&& &|&&&XXXXX&&&&&&&&&========***G*&XXXX&&&&&%# %&&***G #&*G -10 +|+%%&&&&&&%%# #%%%&&%%%####%%&&&&&&%%## #&&GG*GGGGGGG +|------------------------------------------------------------ -20 +-+ + + + + + + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.04 +|+ + + + + + +-+| 0.035 +|+ + + + + + *F +-+| 0.03 +|+ ** **+-+| 0.025 +|+ ** * *-+| AKG 0.02 +|+ * * * *-+| 0.015 +|+ * ** *-+| 0.01 +|+ *** * ** *-+| 0.005 +|-----------------------------------------------------------| 0 ****** ************************ ************* * +** 0 2 4 6 8 10 12 | 20 +|+ 15 +|+ ####### ##%%%%%%# 10 +|+%%%&&&&&%%# ####### #%%&&&&&&&&&% 5 +|+&&&XXXX&&&&&&&&&&&&&&%# #%&&======****G&%# z G|*************G****XXX&&&&&&&&&===******XX&****&& 0 +|+=XXXXXXXXX&&====*******G***G*****XXX&&&&&%&&***&% # 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-5 +|+&&&&&&&&&&%%#%&&&&&======&&&&&&&&&&&&%%# #%&**GGGG GG*G -10 +|------------------------------------------------------------ -15 +-+ ####+ + + + + G G + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 0.02 +|+ + + + + + +-+| +| + + + + + * F +| 0.015 +|+ ** **-+| | ** ** | AKG 0.01 +|+ * ****-+| | * ** * | 0.005 +|+ ** * ** *-+| +|-----------------------------------------------------------| 0 ****** ************************* ***************** +** 0 2 4 6 8 10 12 : x z init001 : 0.00000 0.5973 init002 : 3.00000 1.4372 init003 : 6.00000 -3.2384 init004 : 9.00000 5.4435 init005 : 12.00000 -4.1400 xg(088) : 5.24623 -2.1071 xg(200) : 12.00000 -8.4097 xg(188) : 11.27638 -12.2044 xg(183) : 10.97487 -11.5080 xg(174) : 10.43216 -9.7974 xg(174) : 10.43216 -10.2123 xg(196) : 11.75879 -8.8149 xg(175) : 10.49246 -11.9666 xg(195) : 11.69849 -8.0612 xg(169) : 10.13065 -8.0597 xg(187) : 11.21608 -10.2828 xg(180) : 10.79397 -12.3890 xg(189) : 11.33668 -9.9651 xg(189) : 11.33668 -10.9438 xg(175) : 10.49246 -7.2243 xg(176) : 10.55276 -7.2705 xg(191) : 11.45729 -10.8673 xg(178) : 10.67337 -6.6206 xg(179) : 10.73367 -10.5438 xg(192) : 11.51759 -12.1256 xg(192) : 11.51759 -10.3609 xg(179) : 10.73367 -13.0701 xg(192) : 11.51759 -10.7014 xg(179) : 10.73367 -10.3002 xg(192) : 11.51759 -11.8062 xg(179) : 10.73367 -9.9228 xg(179) : 10.73367 -7.5573 xg(192) : 11.51759 -7.3796 xg(179) : 10.73367 -9.5054 xg(192) : 11.51759 -8.6948 xg(192) : 11.51759 -10.0683 xg(179) : 10.73367 -11.7559 xg(191) : 11.45729 -13.1828 xg(179) : 10.73367 -10.3432 xg(191) : 11.45729 -14.4645 xg(179) : 10.73367 -10.9589 xg(179) : 10.73367 -11.5593 xg(191) : 11.45729 -9.9408 xg(179) : 10.73367 -8.6640 xg(191) : 11.45729 -9.6013 xg(179) : 10.73367 -9.0151 xg(191) : 11.45729 -7.5042 xg(179) : 10.73367 -11.9036 xg(191) : 11.45729 -12.5303 xg(179) : 10.73367 -9.4902 xg(191) : 11.45729 -5.9382 xg(179) : 10.73367 -9.4142 xg(191) : 11.45729 -10.3760 xg(179) : 10.73367 -9.3260 xg(191) : 11.45729 -10.3692 xg(179) : 10.73367 -10.9057 xg(191) : 11.45729 -13.1662 xg(179) : 10.73367 -7.8763 xg(191) : 11.45729 -11.6292 xg(179) : 10.73367 -12.5954 xg(191) : 11.45729 -9.2173 xg(179) : 10.73367 -11.0425 xg(191) : 11.45729 -11.0318 xg(179) : 10.73367 -11.8770 xg(191) : 11.45729 -9.1324 xg(179) : 10.73367 -7.5568 xg(191) : 11.45729 -11.0361 xg(179) : 10.73367 -10.2788 xg(191) : 11.45729 -13.0717 xg(179) : 10.73367 -14.6102 xg(191) : 11.45729 -10.0200 xg(179) : 10.73367 -10.3658 xg(191) : 11.45729 -9.6554 xg(179) : 10.73367 -7.1114 xg(184) : 11.03518 -8.6817 xg(180) : 10.79397 -11.9371 xg(180) : 10.79397 -10.6516 xg(180) : 10.79397 -12.8706 xg(180) : 10.79397 -13.0766 xg(180) : 10.79397 -12.8053 xg(191) : 11.45729 -14.6151 xg(180) : 10.79397 -10.2433 xg(180) : 10.79397 -9.0331 xg(191) : 11.45729 -8.3273 xg(180) : 10.79397 -3.2216 xg(180) : 10.79397 -8.5367 xg(180) : 10.79397 -12.1947 xg(191) : 11.45729 -8.9185 xg(191) : 11.45729 -5.8898 xg(191) : 11.45729 -9.7650 xg(180) : 10.79397 -11.5301 xg(191) : 11.45729 -11.5481 xg(180) : 10.79397 -11.2313 xg(191) : 11.45729 -8.6112 xg(180) : 10.79397 -12.2672 xg(191) : 11.45729 -9.5025 xg(191) : 11.45729 -10.8054 xg(180) : 10.79397 -11.4566 xg(191) : 11.45729 -7.3523 xg(191) : 11.45729 -9.1385 Number of evaluations: 5 + 95 = 100. 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/02_design_of_experiments/stk_example_doe03.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/02_design_of_experiments/stk_example_doe03.m ***** test stk_example_doe03; close all; #=========================# # stk_example_doe03 # #=========================# 'stk_example_doe03' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/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. 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10 +|+ ##%&&& | #### #%%%%%%## %&&=**FG*G** ####### 5 +|+&&&&&&&&&&&% %&&&&&&&&&&%# #&=***&& %*G*&&&&&&&%%# 0 +|+*****G******G*****XXXXX&&&&%****&&% ****XXX&&&&%# z |&&&&&# #%%%##&===**********G*&&&%# &==*****X&&&% -5 +|+## %&&&&======&& %===XX******G -10 +|+ ##%%&&&&%%# #%====&&==== +|------------------------------------------------------------ -15 +-+ + + + + + + 0 2 4 6 8 10 12 |-----------------------------------------------------------| 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 +|+ #%%&&&&&&%# #%====&&==== 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+|-----------------------------------------------------------| 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 |-----------------------------------------------------------| 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 |-----------------------------------------------------------| 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] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/02_design_of_experiments/stk_example_doe02.m ***** test stk_example_doe02; close all; #=========================# # stk_example_doe02 # #=========================# 'stk_example_doe02' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/examples/02_design_of_experiments/stk_example_doe02.m STK_EXAMPLE_DOE02 "Sequential Maximin" design In this example, a two-dimensional space-filling design is progressively enriched with new points using a "sequential maximin" approach. More precisely, the k-th point X(k, :) is selected to maximize the distance to the set of all previously selected points X(1, :), X(2, :), ..., X(k-1, :). NOTES: * The resulting design is NOT optimal with respect to the maximin criterion (separation distance). * This procedure is not truly a *sequential* design procedure, since the choice of the k-th point X(k, :) does NOT depend on the response at the previously selected locations X(i, :), i < k. REFERENCE [1] Emmanuel Vazquez and Julien Bect, "Sequential search based on kriging: convergence analysis of some algorithms", In: ISI - 58th World Statistics Congress of the International Statistical Institute (ISI'11), Dublin, Ireland, August 21-26, 2011. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. n = 10, fd = 3.59e-01 |---------------------------------------------------------------------| 1 +|+ + + + + +-+| +| + + F + + +| | F | 0.8 +|+ +-+| | | | F F | | | 0.6 +|+ +-+| | F | | | 0.4 +|+ F +-+| | | | F | | | 0.2 +|+ F +-+| | | +|---------------------------------------------------------------------| 0 +-+ F + + + + +-+ 0 0.2 0.4 0.6 0.8 1 n = 11, fd = 3.20e-01 |---------------------------------------------------------------------| 1 F|+ + + + + +-+| +| + + F + + +| | F | 0.8 +|+ +-+| | | | F F | | | 0.6 +|+ +-+| | F | | | 0.4 +|+ F +-+| | | | F | | | 0.2 +|+ F +-+| | | +|---------------------------------------------------------------------| 0 +-+ F + + + + +-+ 0 0.2 0.4 0.6 0.8 1 n = 12, fd = 3.10e-01 |---------------------------------------------------------------------| 1 F|+ + + + + +-F| +| + + F + + +| | F | 0.8 +|+ +-+| | | | F F | | | 0.6 +|+ +-+| | F | | | 0.4 +|+ F +-+| | | | F | | | 0.2 +|+ F +-+| | | +|---------------------------------------------------------------------| 0 +-+ F + + + + +-+ 0 0.2 0.4 0.6 0.8 1 n = 13, fd = 3.02e-01 |---------------------------------------------------------------------| 1 F|+ + + + + +-F| +| + + F + + +| | F | 0.8 +|+ +-+| | | | F F | | | 0.6 +|+ +-+| | F | | | 0.4 +|+ F +-+| | | | F | | | 0.2 +|+ F +-+| | | +|---------------------------------------------------------------------| 0 +-+ F + + + + +-F 0 0.2 0.4 0.6 0.8 1 n = 14, fd = 2.68e-01 |---------------------------------------------------------------------| 1 F|+ + + + + +-F| +| + + F + + +| | F | 0.8 +|+ +-+| | | | F F F | | | 0.6 +|+ +-+| | F | | | 0.4 +|+ F +-+| | | | F | | | 0.2 +|+ F +-+| | | +|---------------------------------------------------------------------| 0 +-+ F + + + + +-F 0 0.2 0.4 0.6 0.8 1 n = 15, fd = 2.39e-01 |---------------------------------------------------------------------| 1 F|+ + + + + +-F| +| + + F + + +| | F | 0.8 +|+ +-+| | | | F F F | | | 0.6 +|+ +-+| | F F| | | 0.4 +|+ F +-+| | | | F | | | 0.2 +|+ F +-+| | | +|---------------------------------------------------------------------| 0 +-+ F + + + + +-F 0 0.2 0.4 0.6 0.8 1 n = 16, fd = 2.29e-01 |---------------------------------------------------------------------| 1 F|+ + + + + +-F| +| + + F + + +| | F | 0.8 +|+ +-+| | | | F F F | | | 0.6 +|+ +-+| | F F| | | 0.4 +|+ F +-+| | F | | F | | | 0.2 +|+ F +-+| | | +|---------------------------------------------------------------------| 0 +-+ F + + + + +-F 0 0.2 0.4 0.6 0.8 1 n = 17, fd = 2.27e-01 |---------------------------------------------------------------------| 1 F|+ + + + + +-F| +| + + F + F+ +| | F | 0.8 +|+ +-+| | | | F F F | | | 0.6 +|+ +-+| | F F| | | 0.4 +|+ F +-+| | F | | F | | | 0.2 +|+ F +-+| | | +|---------------------------------------------------------------------| 0 +-+ F + + + + +-F 0 0.2 0.4 0.6 0.8 1 n = 18, fd = 2.10e-01 |---------------------------------------------------------------------| 1 F|+ + + + + +-F| +| + + F + F+ +| | F | 0.8 +|+ +-+| | | | F F F | | | 0.6 +|+ +-+| | F F| | | 0.4 +|+ F +-+| | F | | F | | | 0.2 +|+ F +-+| | | +|---------------------------------------------------------------------| 0 +-+ F + F + + + +-F 0 0.2 0.4 0.6 0.8 1 n = 19, fd = 2.06e-01 |---------------------------------------------------------------------| 1 F|+ + + + + +-F| +| + + F + F+ +| | F | 0.8 +|+ +-+| | | | F F F | | | 0.6 +|+ +-+| | F F| | | 0.4 +|+ F +-+| | F | | F | | F | 0.2 +|+ F +-+| | | +|---------------------------------------------------------------------| 0 +-+ F + F + + + +-F 0 0.2 0.4 0.6 0.8 1 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb03.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/01_kriging_basics/stk_example_kb03.m ***** test stk_example_kb03; close all; #========================# # stk_example_kb03 # #========================# 'stk_example_kb03' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/debian/octave-stk/usr/share/octave/packages/stk-2.6.1/examples/01_kriging_basics/stk_example_kb03.m STK_EXAMPLE_KB03 Ordinary kriging in 2D An anisotropic Matern covariance function is used for the Gaussian Process (GP) prior. The parameters of this covariance function (variance, regularity and ranges) are estimated using the Restricted Maximum Likelihood (ReML) method. The mean function of the GP prior is assumed to be constant and unknown. This default choice can be overridden by means of the model.lm property. The function is sampled on a space-filling Latin Hypercube design, and the data is assumed to be noiseless. Additional help for built-in functions and operators is available in the online version of the manual. Use the command 'doc ' to search the manual index. Help and information about Octave is also available on the WWW at https://www.octave.org and via the help@octave.org mailing list. BOX = 2-dimensional hyper-rectangle (stk_hrect object): : x_1 x_2 lower_bounds : -5 0 upper_bounds : 10 15 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb01n.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/01_kriging_basics/stk_example_kb01n.m ***** test stk_example_kb01n; close all; #=========================# # stk_example_kb01n # #=========================# 'stk_example_kb01n' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/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 = -0.6931 1.3863 0.9163 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 ** *** G *** 0 +|* ** ** *** *| ** **G *** | ** ** *G -0.5 +|+ G *G ** * | ** *G | ** G ** -1 +|+ *** *G | ***G*** +|------------------------------------------------------------------ -1.5 +-+ + + + + -1 -0.5 0 0.5 1 input variable x 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb07.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/01_kriging_basics/stk_example_kb07.m ***** test stk_example_kb07; close all; #========================# # stk_example_kb07 # #========================# 'stk_example_kb07' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/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_kb05.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/01_kriging_basics/stk_example_kb05.m ***** test stk_example_kb05; close all; #========================# # stk_example_kb05 # #========================# 'stk_example_kb05' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/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_kb01.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/01_kriging_basics/stk_example_kb01.m ***** test stk_example_kb01; close all; #========================# # stk_example_kb01 # #========================# 'stk_example_kb01' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/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 = -0.6931 1.3863 0.9163 lognoisevariance = -Inf | True function and observed data 1.5 +|+ | ****G** +--------------------+ | *** **** |***?***True function| 1 +|+ *** *** +---G---Observations-+ | ** ** | ** ** 0.5 +|+ ** ** *****G |*G ** *** *** 0 +|* ** G* *** G| ** *** *** | ** ** ** -0.5 +|+ ** ** * | ** ** | *G ** -1 +|+ *** ** | ******* +|------------------------------------------------------------------ -1.5 +-+ + + + + -1 -0.5 0 0.5 1 input variable x 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb02n.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/01_kriging_basics/stk_example_kb02n.m ***** test stk_example_kb02n; close all; #=========================# # stk_example_kb02n # #=========================# 'stk_example_kb02n' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/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 |*G ** *** *** F1 0 *|+ ** ** *** *| ** **G **G | **G ** ** -0.5 +|+ G ** ** | ** *G | ***G ** -1 +|+ ** *G | ***G** +|------------------------------------------------------------------ -1.5 +-+ + + + + -1 -0.5 0 0.5 1 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb02.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/01_kriging_basics/stk_example_kb02.m ***** test stk_example_kb02; close all; #========================# # stk_example_kb02 # #========================# 'stk_example_kb02' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/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 = -0.2108 2.3026 0.7562 lognoisevariance = -Inf | True function and observed data 1.5 +|+ | ***G* +--------------------+ | *** *** |***?***True function| 1 +|+ ** *** +---G---Observations-+ | ** *** | ** ** 0.5 +|+ ** ** *** | G* ** **** *G** |** ** G** *** F1 0 *|+ ** ** *** G| ** ** ** | ** ** ** -0.5 +|+ ** ** | ** * | *G* ** -1 +|+ ** ** | ****** +|------------------------------------------------------------------ -1.5 +-+ + + + + -1 -0.5 0 0.5 1 1 test, 1 passed, 0 known failure, 0 skipped [inst/examples/01_kriging_basics/stk_example_kb08.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/01_kriging_basics/stk_example_kb08.m ***** test stk_example_kb08; close all; #========================# # stk_example_kb08 # #========================# 'stk_example_kb08' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/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] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/01_kriging_basics/stk_example_kb06.m ***** test stk_example_kb06; close all; #========================# # stk_example_kb06 # #========================# 'stk_example_kb06' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/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_kb09.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/01_kriging_basics/stk_example_kb09.m ***** test stk_example_kb09; close all; #========================# # stk_example_kb09 # #========================# 'stk_example_kb09' is a script from the file /build/octave-stk-FWn3yI/octave-stk-2.6.1/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/test_functions/stk_testfun_goldsteinprice.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/test_functions/stk_testfun_goldsteinprice.m ***** test % Use with nargin == 0 for visualisation stk_testfun_goldsteinprice (); close all; ***** assert (stk_isequal_tolabs ... (stk_testfun_goldsteinprice ([0, -1]), 3.0, 1e-12)) 2 tests, 2 passed, 0 known failure, 0 skipped [inst/examples/test_functions/stk_testcase_truss3.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/examples/test_functions/stk_testcase_truss3.m ***** shared tc, xd, n tc = stk_testcase_truss3 (); n = 5; xd = stk_sampling_randunif (n, [], tc.search_domain); ***** test v = stk_testfun_truss3_vol (xd, tc.constants); z = stk_testfun_truss3_bb (xd, tc.constants); assert (isequal (size (v), [n 1])); assert (isequal (size (z), [n 5])); ***** test F = stk_dataframe (zeros (n, 2), {'F1' 'F2'}); F(:, 1) = tc.constants.F1_mean + tc.constants.F1_std * randn (n, 1); F(:, 2) = tc.constants.F2_mean + tc.constants.F2_std * randn (n, 1); x = [xd F]; v = stk_testfun_truss3_vol (x, tc.constants); z = stk_testfun_truss3_bb (x, tc.constants); assert (isequal (size (v), [n 1])); assert (isequal (size (z), [n 5])); 2 tests, 2 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_cubic/feval.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/lm/@stk_lm_cubic/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_cubic (), x); assert (isequal (size (P), [n, 1 + d * (11 + d * (6 + d)) / 6])) 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_cubic/stk_lm_cubic.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/lm/@stk_lm_cubic/stk_lm_cubic.m ***** test stk_test_class ('stk_lm_cubic') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_null/feval.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/lm/@stk_lm_null/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_null (), x); assert (isequal (size (P), [n, 0])); 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_null/stk_lm_null.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/lm/@stk_lm_null/stk_lm_null.m ***** test stk_test_class ('stk_lm_null') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_affine/feval.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/lm/@stk_lm_affine/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_affine (), x); assert (isequal (size (P), [n, d + 1])); 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_affine/stk_lm_affine.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/lm/@stk_lm_affine/stk_lm_affine.m ***** test stk_test_class ('stk_lm_affine') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/stk_lm_polynomial.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/lm/stk_lm_polynomial.m ***** error lm = stk_lm_polynomial (); ***** test lm = stk_lm_polynomial (-1); assert (isa (lm, 'stk_lm_null')); ***** test lm = stk_lm_polynomial (0); assert (isa (lm, 'stk_lm_constant')); ***** test lm = stk_lm_polynomial (1); assert (isa (lm, 'stk_lm_affine')); ***** test lm = stk_lm_polynomial (2); assert (isa (lm, 'stk_lm_quadratic')); ***** test lm = stk_lm_polynomial (3); assert (isa (lm, 'stk_lm_cubic')); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_quadratic/feval.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/lm/@stk_lm_quadratic/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_quadratic (), x); assert (isequal (size (P), [n, 1 + d * (d + 3) / 2])); 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_quadratic/stk_lm_quadratic.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/lm/@stk_lm_quadratic/stk_lm_quadratic.m ***** test stk_test_class ('stk_lm_quadratic') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_constant/feval.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/lm/@stk_lm_constant/feval.m ***** test n = 15; d = 4; x = stk_sampling_randunif (n, d); P = feval (stk_lm_constant (), x); assert (isequal (size (P), [n, 1])); 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_constant/stk_lm_constant.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/lm/@stk_lm_constant/stk_lm_constant.m ***** test stk_test_class ('stk_lm_constant') 1 test, 1 passed, 0 known failure, 0 skipped [inst/lm/@stk_lm_matrix/stk_lm_matrix.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/lm/@stk_lm_matrix/stk_lm_matrix.m ***** test stk_test_class ('stk_lm_matrix') ***** test %%% dim 1 data = rand (10, 1); idx = 3:7; lm = stk_lm_matrix (data); assert (isa (lm, 'stk_lm_matrix')); assert (isequal (data(idx, :), feval (lm, idx))); ***** test %%% dim 3 data = rand (10, 3); idx = 3:7; lm = stk_lm_matrix (data); assert (isa (lm, 'stk_lm_matrix')); assert (isequal (data(idx, :), feval (lm, idx))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/utils/stk_conditioning.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/utils/stk_conditioning.m ***** shared n, m, ni, xi_ind, lambda, zsim, zi n = 50; m = 5; ni = 10; xi_ind = 1:ni; lambda = 1/ni * ones (ni, n); % prediction == averaging zsim = ones (n, m); % const unconditioned samplepaths zi = zeros (ni, 1); % conditioning by zeros ***** error zsimc = stk_conditioning (); ***** error zsimc = stk_conditioning (lambda); ***** error zsimc = stk_conditioning (lambda, zi); ***** test zsimc = stk_conditioning (lambda, zi, zsim); ***** test zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); ***** test zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); assert (stk_isequal_tolabs (double (zsimc), zeros (n, m))); ***** test zi = 2 * ones (ni, 1); % conditioning by twos zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); assert (stk_isequal_tolabs (double (zsimc), 2 * ones (n, m))); ***** test DIM = 1; nt = 400; xt = stk_sampling_regulargrid (nt, DIM, [-1.0; 1.0]); NI = 6; xi_ind = [1 20 90 200 300 350]; xi = xt(xi_ind, 1); zi = (1:NI)'; % linear response ;-) % Carry out the kriging prediction at points xt model = stk_model ('stk_materncov52_iso'); model.param = log ([1.0; 2.9]); [ignore_zp, lambda] = stk_predict (model, xi, [], xt); % Generate (unconditional) sample paths according to the model NB_PATHS = 10; zsim = stk_generate_samplepaths (model, xt, NB_PATHS); zsimc = stk_conditioning (lambda, zi, zsim, xi_ind); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/utils/stk_generate_samplepaths.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/utils/stk_generate_samplepaths.m ***** shared model, xi, zi, xt, n, nb_paths dim = 1; n = 50; nb_paths = 5; model = stk_model ('stk_materncov32_iso', dim); model.param = log ([1.0; 2.9]); xt = stk_sampling_regulargrid (n, dim, [-1.0; 1.0]); xi = [xt(1, :); xt(end, :)]; zi = [0; 0]; ***** error zsim = stk_generate_samplepaths (); ***** error zsim = stk_generate_samplepaths (model); ***** test zsim = stk_generate_samplepaths (model, xt); ***** test zsim = stk_generate_samplepaths (model, xt, nb_paths); ***** test zsim = stk_generate_samplepaths (model, xi, zi, xt); ***** test zsim = stk_generate_samplepaths (model, xi, zi, xt, nb_paths); ***** test zsim = stk_generate_samplepaths (model, xt); assert (isequal (size (zsim), [n, 1])); ***** test zsim = stk_generate_samplepaths (model, xt, nb_paths); assert (isequal (size (zsim), [n, nb_paths])); ***** test % duplicate simulation points zsim = stk_generate_samplepaths (model, [xt; xt], nb_paths); assert (isequal (size (zsim), [2 * n, nb_paths])); assert (isequal (zsim(1:n, :), zsim((n + 1):end, :))); ***** test % simulation points equal to observation points (noiseless model) % https://sourceforge.net/p/kriging/tickets/14/ zsim = stk_generate_samplepaths (model, xt, zeros (n, 1), xt); assert (isequal (zsim, zeros (n, 1))); 10 tests, 10 passed, 0 known failure, 0 skipped [inst/model/prior_struct/stk_covmat_noise.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/model/prior_struct/stk_covmat_noise.m ***** shared model, model2, x1, x2, n1, n2, d, Ka, Kb, Kc, Pa, Pb, Pc, P1, P2, P3, K1, K2, K3 n1 = 20; n2 = 10; d = 4; model = stk_model ('stk_materncov52_aniso', d); model.lm = stk_lm_affine; model.param = log ([1.0; 2.1; 2.2; 2.3; 2.4]); model2 = model; model2.lognoisevariance = log(0.01); x1 = stk_sampling_randunif (n1, d); x2 = stk_sampling_randunif (n2, d); ***** error [KK, PP] = stk_covmat_noise (); ***** error [KK, PP] = stk_covmat_noise (model); ***** test [Ka, Pa] = stk_covmat_noise (model, x1); % (1) ***** test [K1, P1] = stk_covmat_noise (model, x1, []); ***** test [K2, P2] = stk_covmat_noise (model, x1, [], -1); ***** test [K3, P3] = stk_covmat_noise (model, x1, [], -1, false); ***** assert (isequal (size (Ka), [n1 n1])); ***** assert (isequal (size (Pa), [n1 0])); ***** assert (isequal (P1, Pa) && (isequal (K1, Ka))) ***** assert (isequal (P2, Pa) && (isequal (K2, Ka))) ***** assert (isequal (P3, Pa) && (isequal (K3, Ka))) ***** test [Kb, Pb] = stk_covmat_noise (model, x1, x1); % (2) ***** test [K1, P1] = stk_covmat_noise (model, x1, x1, -1); ***** test [K2, P2] = stk_covmat_noise (model, x1, x1, -1, false); ***** assert (isequal (size (Kb), [n1 n1])); ***** assert (isequal (size (Pb), [n1 0])); ***** assert (isequal (P1, Pb) && (isequal (K1, Kb))) ***** assert (isequal (P2, Pb) && (isequal (K2, Kb))) ***** test [Kc, Pc] = stk_covmat_noise (model, x1, x2); % (3) ***** test [K1, P1] = stk_covmat_noise (model, x1, x2, -1); ***** test [K2, P2] = stk_covmat_noise (model, x1, x2, -1, false); ***** assert (isequal (size (Kc), [n1 n2])); ***** assert (isequal (size (Pc), [n1 0])); ***** assert (isequal (P1, Pc) && (isequal (K1, Kc))) ***** assert (isequal (P2, Pc) && (isequal (K2, Kc))) ***** assert (isequal (Kb, Ka)); ***** test [Ka, Pa] = stk_covmat_noise (model2, x1); % (1') ***** test [Kb, Pb] = stk_covmat_noise (model2, x1, x1); % (2') ***** error assert (isequal (Kb, Ka)); ***** assert (isequal (Pa, Pb)); ***** assert (isequal (Pa, Pc)); 31 tests, 31 passed, 0 known failure, 0 skipped [inst/model/prior_struct/stk_ortho_func.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/model/prior_struct/stk_ortho_func.m ***** shared model, x, n, d n = 15; d = 4; model = stk_model ('stk_materncov_aniso', d); x = stk_sampling_randunif (n, d); model = rmfield (model, 'lm'); % Test the old .order approach ***** error P = stk_ortho_func (); ***** error P = stk_ortho_func (model); ***** test P = stk_ortho_func (model, x); ***** test model.order = -1; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 0])); ***** test model.order = 0; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 1])); ***** test model.order = 1; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, d + 1])); ***** test model.order = 2; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 1 + d * (d + 3) / 2])); ***** test model.order = 3; P = stk_ortho_func (model, x); assert (isequal (size (P), [n, 1 + d * (11 + d * (6 + d)) / 6])); ***** error model.order = 4; P = stk_ortho_func (model, x); % model.order > 3 is not allowed 9 tests, 9 passed, 0 known failure, 0 skipped [inst/model/prior_struct/stk_model.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/model/prior_struct/stk_model.m ***** test model = stk_model(); ***** test model = stk_model('stk_expcov_iso'); ***** test model = stk_model('stk_expcov_iso', 1); ***** test model = stk_model('stk_expcov_iso', 3); ***** test model = stk_model('stk_expcov_aniso'); ***** test model = stk_model('stk_expcov_aniso', 1); ***** test model = stk_model('stk_expcov_aniso', 3); ***** test model = stk_model('stk_materncov_iso'); ***** test model = stk_model('stk_materncov_iso', 1); ***** test model = stk_model('stk_materncov_iso', 3); ***** test model = stk_model('stk_materncov_aniso'); ***** test model = stk_model('stk_materncov_aniso', 1); ***** test model = stk_model('stk_materncov_aniso', 3); ***** test model = stk_model('stk_materncov32_iso'); ***** test model = stk_model('stk_materncov32_iso', 1); ***** test model = stk_model('stk_materncov32_iso', 3); ***** test model = stk_model('stk_materncov32_aniso'); ***** test model = stk_model('stk_materncov32_aniso', 1); ***** test model = stk_model('stk_materncov32_aniso', 3); ***** test model = stk_model('stk_materncov52_iso'); ***** test model = stk_model('stk_materncov52_iso', 1); ***** test model = stk_model('stk_materncov52_iso', 3); ***** test model = stk_model('stk_materncov52_aniso'); ***** test model = stk_model('stk_materncov52_aniso', 1); ***** test model = stk_model('stk_materncov52_aniso', 3); ***** test model = stk_model('stk_gausscov_iso'); ***** test model = stk_model('stk_gausscov_iso', 1); ***** test model = stk_model('stk_gausscov_iso', 3); ***** test model = stk_model('stk_gausscov_aniso'); ***** test model = stk_model('stk_gausscov_aniso', 1); ***** test model = stk_model('stk_gausscov_aniso', 3); ***** test model = stk_model('stk_sphcov_iso'); ***** test model = stk_model('stk_sphcov_iso', 1); ***** test model = stk_model('stk_sphcov_iso', 3); ***** test model = stk_model('stk_sphcov_aniso'); ***** test model = stk_model('stk_sphcov_aniso', 1); ***** test model = stk_model('stk_sphcov_aniso', 3); 37 tests, 37 passed, 0 known failure, 0 skipped [inst/model/noise/@stk_gaussiannoise_het0/set.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/model/noise/@stk_gaussiannoise_het0/set.m ***** shared M_post x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model ('stk_materncov32_iso'); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error value = get (M_post, 1.33); ***** error value = get (M_post, 'dudule'); ***** test value = get (M_post, 'prior_model'); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/stk_model_gpposterior.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/model/@stk_model_gpposterior/stk_model_gpposterior.m ***** test stk_test_class ('stk_model_gpposterior') ***** shared M_prior, x_obs, z_obs x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model ('stk_materncov32_iso'); M_prior.param = log ([1.0; 2.1]); ***** test M_post = stk_model_gpposterior (); ***** test M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error M_post = stk_model_gpposterior (M_prior, x_obs, [z_obs; z_obs]); ***** error M_post = stk_model_gpposterior (M_prior, x_obs, [z_obs; z_obs], 3.441); ***** test % hidden feature kreq = stk_kreq_qr (M_prior, x_obs); M_post = stk_model_gpposterior (M_prior, {x_obs, kreq}, z_obs); ***** test % NaNs in prior_model.param DIM = 1; M = stk_model (@stk_materncov52_aniso, DIM); M.param = nan (2, 1); % this is currently the default x = stk_sampling_regulargrid (20, DIM, [0; 1]); y = sin (double (x)); zp = stk_predict (M, x, y, x); 7 tests, 7 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/get.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/model/@stk_model_gpposterior/get.m ***** shared M_post x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model ('stk_materncov32_iso'); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error value = get (M_post, 1.33); ***** error value = get (M_post, 'dudule'); ***** test value = get (M_post, 'prior_model'); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/stk_model_update.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/model/@stk_model_gpposterior/stk_model_update.m ***** shared x_obs, z_obs, ref, M_prior, x_new, z_new, lnv_new [x_obs, z_obs, ref] = stk_dataset_twobumps ('noisy2'); M_prior = stk_model ('stk_materncov52_iso'); M_prior.param = [-0.15; 0.38]; M_prior.lognoisevariance = 2 * log (ref.noise_std); x_new = [-0.79; -0.79]; z_new = [-0.69; -0.85]; lnv_new = ref.noise_std_func (x_new); ***** test % heteroscedastic M_prior.lognoisevariance = 2 * log (ref.noise_std); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); M_post = stk_model_update (M_post, x_new, z_new, lnv_new); ***** error % using lnv_new / homoscedastic M_prior.lognoisevariance = 0; M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); M_post = stk_model_update (M_post, x_new, z_new, lnv_new); % NOT OK ***** error % using lnv_new / noiseless M_prior.lognoisevariance = -inf; M_post = stk_model_gpposterior (M_prior, x_obs, z_obs) M_post = stk_model_update (M_post, x_new, z_new, lnv_new); % NOT OK ***** error % not using lnv_new / heteroscedastic M_prior.lognoisevariance = 2 * log (ref.noise_std); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); M_post = stk_model_update (M_post, x_new, z_new); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/stk_predict_leaveoneout.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/model/@stk_model_gpposterior/stk_predict_leaveoneout.m ***** test % Check virtual Leave-One-Out formula n = 20; d = 1; x_obs = stk_sampling_regulargrid (n, d, [0; 2*pi]); z_obs = stk_feval (@sin, x_obs); lm_list = {stk_lm_null, stk_lm_constant, stk_lm_affine}; for j = 0:2 for k = 1:(length (lm_list)) model = stk_model ('stk_materncov32_iso', d); model.lm = lm_list{k}; model.param = log ([1; 5]); switch j % test various scenarios for lognoisevariance case 0 model.lognoisevariance = -inf; case 1 model.lognoisevariance = 0; case 2 model.lognoisevariance = (1 + rand (n, 1)) * 1e-3; end M_post = stk_model_gpposterior (model, x_obs, z_obs); [loo_pred, loo_res] = stk_predict_leaveoneout (M_post); [direct_pred, direct_res] = stk_predict_leaveoneout_direct (M_post); assert (stk_isequal_tolrel (loo_pred, direct_pred)); assert (stk_isequal_tolrel (loo_res, direct_res)); end end 1 test, 1 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/stk_predict.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/model/@stk_model_gpposterior/stk_predict.m ***** shared n, m, M_post, M_prior, x0, x_obs, z_obs, x_prd, y_prd, idx_obs, idx_prd n = 10; % number of observations m = n + 1; % number of predictions d = 1; % dimension of the input space x0 = (linspace (0, pi, n + m))'; idx_obs = (2:2:(n+m-1))'; idx_prd = (1:2:(n+m))'; x_obs = x0(idx_obs); z_obs = sin (x_obs); x_prd = x0(idx_prd); M_prior = stk_model ('stk_materncov32_iso'); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error y_prd = stk_predict (M_post); ***** test y_prd = stk_predict (M_post, x_prd); ***** error y_prd = stk_predict (M_post, [x_prd x_prd]); ***** test % nargout = 2 [y_prd1, lambda] = stk_predict (M_post, x_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); assert (isequal (size (lambda), [n m])); ***** test % nargout = 3 [y_prd1, lambda, mu] = stk_predict (M_post, x_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging ***** test % nargout = 4 [y_prd1, lambda, mu, K] = stk_predict (M_post, x_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); assert (isequal (size (lambda), [n m])); assert (isequal (size (mu), [1 m])); % ordinary kriging assert (isequal (size (K), [m m])); ***** test % nargout = 2, compute only variances M_post1 = stk_model_gpposterior (M_prior, x_obs, []); [y_prd_nan, lambda] = stk_predict (M_post1, x_prd); assert (isequal (size (lambda), [n m])); assert (all (isnan (y_prd_nan.mean))); ***** test % discrete model (prediction indices provided) M_prior1 = stk_model ('stk_discretecov', M_prior, x0); M_post1 = stk_model_gpposterior (M_prior1, idx_obs, z_obs); y_prd1 = stk_predict (M_post1, idx_prd); assert (stk_isequal_tolrel (y_prd, y_prd1)); ***** test % discrete model (prediction indices *not* provided) M_prior1 = stk_model ('stk_discretecov', M_prior, x0); M_post1 = stk_model_gpposterior (M_prior1, idx_obs, z_obs); y_prd1 = stk_predict (M_post1, []); % predict them all! assert (stk_isequal_tolrel (y_prd, y_prd1(idx_prd, :))); 9 tests, 9 passed, 0 known failure, 0 skipped [inst/model/@stk_model_gpposterior/set.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/model/@stk_model_gpposterior/set.m ***** shared M_post x_obs = (linspace (0, pi, 15))'; z_obs = sin (x_obs); M_prior = stk_model ('stk_materncov32_iso'); M_prior.param = log ([1.0; 2.1]); M_post = stk_model_gpposterior (M_prior, x_obs, z_obs); ***** error value = get (M_post, 1.33); ***** error value = get (M_post, 'dudule'); ***** test value = get (M_post, 'prior_model'); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/covfcs/stk_sphcov_iso.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/stk_sphcov_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error 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_gausscov_aniso.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/stk_gausscov_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_gausscov_aniso (); ***** error K0 = stk_gausscov_aniso (param); ***** error K0 = stk_gausscov_aniso (param, x); ***** test K1 = stk_gausscov_aniso (param, x, y); ***** test K2 = stk_gausscov_aniso (param, x, y, -1); ***** test K3 = stk_gausscov_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_gausscov_aniso (param, u, v, -1); K2 = stk_gausscov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); ***** error stk_gausscov_aniso (param, x, y, -2); ***** test stk_gausscov_aniso (param, x, y, -1); ***** error stk_gausscov_aniso (param, x, y, 0); ***** test stk_gausscov_aniso (param, x, y, 1); ***** test stk_gausscov_aniso (param, x, y, 2); ***** error stk_gausscov_aniso (param, x, y, 3); ***** error stk_gausscov_aniso (param, x, y, nan); ***** error stk_gausscov_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_gausscov_aniso (param, x, y); K2 = stk_gausscov_aniso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_gausscov_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_gausscov_aniso (param, x, y); K2 = stk_gausscov_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_gausscov_aniso (param, x, y, i); dK2 = stk_gausscov_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov52_aniso.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/stk_materncov52_aniso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error stk_materncov52_aniso (); ***** error stk_materncov52_aniso (param); ***** error stk_materncov52_aniso (param, x); ***** test stk_materncov52_aniso (param, x, y); ***** test stk_materncov52_aniso (param, x, y, -1); ***** test stk_materncov52_aniso (param, x, y, -1, false); ***** error stk_materncov52_aniso (param, x, y, -2); ***** test stk_materncov52_aniso (param, x, y, -1); ***** error stk_materncov52_aniso (param, x, y, 0); ***** test stk_materncov52_aniso (param, x, y, 1); ***** test stk_materncov52_aniso (param, x, y, 2); ***** error stk_materncov52_aniso (param, x, y, 3); ***** error stk_materncov52_aniso (param, x, y, nan); ***** error stk_materncov52_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov52_aniso (param, x, y); K2 = stk_materncov52_aniso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_materncov52_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_materncov52_aniso (param, x, y); K2 = stk_materncov52_aniso(param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_materncov52_aniso (param, x, y, i); dK2 = stk_materncov52_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 17 tests, 17 passed, 0 known failure, 0 skipped [inst/covfcs/stk_expcov_iso.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/stk_expcov_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error 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_materncov32_aniso.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/stk_materncov32_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_materncov32_aniso (); ***** error K0 = stk_materncov32_aniso (param); ***** error K0 = stk_materncov32_aniso (param, x); ***** test K1 = stk_materncov32_aniso (param, x, y); ***** test K2 = stk_materncov32_aniso (param, x, y, -1); ***** test K3 = stk_materncov32_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_materncov32_aniso (param, u, v, -1); K2 = stk_materncov32_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); assert (isequal (K1, K2)); ***** error stk_materncov32_aniso (param, x, y, -2); ***** test stk_materncov32_aniso (param, x, y, -1); ***** error stk_materncov32_aniso (param, x, y, 0); ***** test stk_materncov32_aniso (param, x, y, 1); ***** test stk_materncov32_aniso (param, x, y, 2); ***** error stk_materncov32_aniso (param, x, y, 3); ***** error stk_materncov32_aniso (param, x, y, nan); ***** error stk_materncov32_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov32_aniso (param, x, y); K2 = stk_materncov32_aniso (param, x, y, -1); assert (isequal (size(K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_materncov32_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_materncov32_aniso (param, x, y); K2 = stk_materncov32_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_materncov32_aniso (param, x, y, i); dK2 = stk_materncov32_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov_aniso.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/stk_materncov_aniso.m ***** shared param, x, y dim = 1; param = log ([1.0; 1.5; 2.8]); x = stk_sampling_randunif(5, dim); y = stk_sampling_randunif(5, dim); ***** error stk_materncov_aniso(); ***** error stk_materncov_aniso(param); ***** error stk_materncov_aniso(param, x); ***** test stk_materncov_aniso(param, x, y); ***** test stk_materncov_aniso(param, x, y, -1); ***** test stk_materncov_aniso(param, x, y, -1, false); ***** error stk_materncov_aniso(param, x, y, -2); ***** test stk_materncov_aniso(param, x, y, -1); ***** error stk_materncov_aniso(param, x, y, 0); ***** test stk_materncov_aniso(param, x, y, 1); ***** test stk_materncov_aniso(param, x, y, 2); ***** test stk_materncov_aniso(param, x, y, 3); ***** error stk_materncov_aniso(param, x, y, 4); ***** error stk_materncov_aniso(param, x, y, nan); ***** error stk_materncov_aniso(param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 1.5; 2.8; 2.7; 2.9]); nx = 4; ny = 10; x = stk_sampling_randunif(nx, dim); y = stk_sampling_randunif(ny, dim); ***** test K1 = stk_materncov_aniso(param, x, y); K2 = stk_materncov_aniso(param, x, y, -1); assert(isequal(size(K1), [nx ny])); assert(stk_isequal_tolabs(K1, K2)); ***** test for i = 1:(dim+2), dK = stk_materncov_aniso(param, x, y, i); assert(isequal(size(dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif(n, dim); y = stk_sampling_randunif(n, dim); K1 = stk_materncov_aniso(param, x, y); K2 = stk_materncov_aniso(param, x, y, -1, true); assert(isequal(size(K1), [n n])); assert(stk_isequal_tolabs(K2, diag(K1))); for i = 1:(dim+2), dK1 = stk_materncov_aniso(param, x, y, i); dK2 = stk_materncov_aniso(param, x, y, i, true); assert(isequal(size(dK1), [n n])); assert(stk_isequal_tolabs(dK2, diag(dK1))); end 18 tests, 18 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov52_iso.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/stk_materncov52_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error stk_materncov52_iso (); ***** error stk_materncov52_iso (param); ***** error stk_materncov52_iso (param, x); ***** test stk_materncov52_iso (param, x, y); ***** test stk_materncov52_iso (param, x, y, -1); ***** test stk_materncov52_iso (param, x, y, -1, false); ***** error stk_materncov52_iso (param, x, y, -2); ***** test stk_materncov52_iso (param, x, y, -1); ***** error stk_materncov52_iso (param, x, y, 0); ***** test stk_materncov52_iso (param, x, y, 1); ***** test stk_materncov52_iso (param, x, y, 2); ***** error stk_materncov52_iso (param, x, y, 3); ***** error stk_materncov52_iso (param, x, y, nan); ***** error stk_materncov52_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_materncov52_iso (param, x, y); K2 = stk_materncov52_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_materncov52_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_materncov52_iso (param, x, y); K2 = stk_materncov52_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_materncov52_iso (param, x, y, i); dK2 = stk_materncov52_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 17 tests, 17 passed, 0 known failure, 0 skipped [inst/covfcs/stk_expcov_aniso.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/stk_expcov_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_expcov_aniso (); ***** error K0 = stk_expcov_aniso (param); ***** error K0 = stk_expcov_aniso (param, x); ***** test K1 = stk_expcov_aniso (param, x, y); ***** test K2 = stk_expcov_aniso (param, x, y, -1); ***** test K3 = stk_expcov_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_expcov_aniso (param, u, v, -1); K2 = stk_expcov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); ***** error stk_expcov_aniso (param, x, y, -2); ***** test stk_expcov_aniso (param, x, y, -1); ***** error stk_expcov_aniso (param, x, y, 0); ***** test stk_expcov_aniso (param, x, y, 1); ***** test stk_expcov_aniso (param, x, y, 2); ***** error stk_expcov_aniso (param, x, y, 3); ***** error stk_expcov_aniso (param, x, y, nan); ***** error stk_expcov_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_expcov_aniso (param, x, y); K2 = stk_expcov_aniso (param, x, y, -1); assert (isequal (size(K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_expcov_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_expcov_aniso (param, x, y); K2 = stk_expcov_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_expcov_aniso (param, x, y, i); dK2 = stk_expcov_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_matern52.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/rbf/stk_rbf_matern52.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_matern52 (); ***** test stk_rbf_matern52 (h); ***** test stk_rbf_matern52 (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_matern52 (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% consistency with stk_rbf_matern: function values for h = 0.1:0.1:2.0, x = stk_rbf_matern (5/2, h); y = stk_rbf_matern52 (h); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** test %% consistency with stk_rbf_matern: derivatives for h = 0.1:0.1:2.0, x = stk_rbf_matern (5/2, h, 2); y = stk_rbf_matern52 (h, 1); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** assert (stk_rbf_matern52 (inf) == 0) 7 tests, 7 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_gauss.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/rbf/stk_rbf_gauss.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_gauss (); ***** test stk_rbf_gauss (h); ***** test stk_rbf_gauss (h, diff); ***** test % h = 0.0 => correlation = 1.0 x = stk_rbf_gauss (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_matern32.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/rbf/stk_rbf_matern32.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_matern32 (); ***** test stk_rbf_matern32 (h); ***** test stk_rbf_matern32 (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_matern32 (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% consistency with stk_rbf_matern: function values for h = 0.1:0.1:2.0, x = stk_rbf_matern (3/2, h); y = stk_rbf_matern32 (h); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** test %% consistency with stk_rbf_matern: derivatives for h = 0.1:0.1:2.0, x = stk_rbf_matern (3/2, h, 2); y = stk_rbf_matern32 (h, 1); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** assert (stk_rbf_matern32 (inf) == 0) 7 tests, 7 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_matern.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/rbf/stk_rbf_matern.m ***** shared nu, h, diff nu = 1.0; h = 1.0; diff = -1; ***** error stk_rbf_matern (); ***** error stk_rbf_matern (nu); ***** test stk_rbf_matern (nu, h); ***** test stk_rbf_matern (nu, h, diff); ***** test %% h = 0.0 => correlation = 1.0 for nu = 0.1:0.2:5.0, x = stk_rbf_matern (nu, 0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); end 5 tests, 5 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_spherical.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/rbf/stk_rbf_spherical.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_spherical (); ***** test stk_rbf_spherical (h); ***** test stk_rbf_spherical (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_spherical (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% check derivative numerically h = [-1 -0.5 -0.1 0.1 0.5 1]; delta = 1e-9; d1 = (stk_rbf_spherical (h + delta) - stk_rbf_spherical (h)) / delta; d2 = stk_rbf_spherical (h, 1); assert (stk_isequal_tolabs (d1, d2, 1e-4)); ***** assert (stk_rbf_spherical (inf) == 0) 6 tests, 6 passed, 0 known failure, 0 skipped [inst/covfcs/rbf/stk_rbf_exponential.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/rbf/stk_rbf_exponential.m ***** shared h, diff h = 1.0; diff = -1; ***** error stk_rbf_exponential (); ***** test stk_rbf_exponential (h); ***** test stk_rbf_exponential (h, diff); ***** test %% h = 0.0 => correlation = 1.0 x = stk_rbf_exponential (0.0); assert (stk_isequal_tolrel (x, 1.0, 1e-8)); ***** test %% check derivative numerically h = [-1 -0.5 -0.1 0.1 0.5 1]; delta = 1e-9; d1 = (stk_rbf_exponential (h + delta) - stk_rbf_exponential (h)) / delta; d2 = stk_rbf_exponential (h, 1); assert (stk_isequal_tolabs (d1, d2, 1e-4)); ***** test %% consistency with stk_rbf_matern: function values for h = 0.1:0.1:2.0, x = stk_rbf_matern (1/2, h); y = stk_rbf_exponential (h); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** test %% consistency with stk_rbf_matern: derivatives for h = 0.1:0.1:2.0, x = stk_rbf_matern (1/2, h, 2); y = stk_rbf_exponential (h, 1); assert (stk_isequal_tolrel (x, y, 1e-8)); end ***** assert (stk_rbf_exponential (inf) == 0) 8 tests, 8 passed, 0 known failure, 0 skipped [inst/covfcs/stk_noisecov.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/stk_noisecov.m ***** shared ni, lognoisevariance, diff ni = 5; lognoisevariance = 0.0; diff = -1; ***** error K = stk_noisecov (); ***** error K = stk_noisecov (ni); ***** test K = stk_noisecov (ni, lognoisevariance); ***** test K = stk_noisecov (ni, lognoisevariance, diff); ***** test K = stk_noisecov (ni, lognoisevariance, diff, true); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov_iso.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/stk_materncov_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 1.5; 2.9]); x = stk_sampling_randunif(5, dim); y = stk_sampling_randunif(5, dim); ***** error 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_gausscov_iso.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/stk_gausscov_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error stk_gausscov_iso (); ***** error stk_gausscov_iso (param); ***** error stk_gausscov_iso (param, x); ***** test stk_gausscov_iso (param, x, y); ***** test stk_gausscov_iso (param, x, y, -1); ***** test stk_gausscov_iso (param, x, y, -1, false); ***** error stk_gausscov_iso (param, x, y, -2); ***** test stk_gausscov_iso (param, x, y, -1); ***** error stk_gausscov_iso (param, x, y, 0); ***** test stk_gausscov_iso (param, x, y, 1); ***** test stk_gausscov_iso (param, x, y, 2); ***** error stk_gausscov_iso (param, x, y, 3); ***** error stk_gausscov_iso (param, x, y, nan); ***** error stk_gausscov_iso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_gausscov_iso (param, x, y); K2 = stk_gausscov_iso (param, x, y, -1); assert (isequal (size (K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:2, dK = stk_gausscov_iso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_gausscov_iso (param, x, y); K2 = stk_gausscov_iso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:2, dK1 = stk_gausscov_iso (param, x, y, i); dK2 = stk_gausscov_iso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 17 tests, 17 passed, 0 known failure, 0 skipped [inst/covfcs/stk_sphcov_aniso.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/stk_sphcov_aniso.m ***** shared param, x, y, K1, K2, K3 dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (6, dim); ***** error K0 = stk_sphcov_aniso (); ***** error K0 = stk_sphcov_aniso (param); ***** error K0 = stk_sphcov_aniso (param, x); ***** test K1 = stk_sphcov_aniso (param, x, y); ***** test K2 = stk_sphcov_aniso (param, x, y, -1); ***** test K3 = stk_sphcov_aniso (param, x, y, -1, false); ***** assert (isequal (K1, K2)); ***** assert (isequal (K1, K3)); ***** test % df versus ordinary array u = double (x); v = double (y); K1 = stk_sphcov_aniso (param, u, v, -1); K2 = stk_sphcov_aniso (param, stk_dataframe (u), stk_dataframe (v), -1); assert (isequal (K1, K2)); ***** error stk_sphcov_aniso (param, x, y, -2); ***** test stk_sphcov_aniso (param, x, y, -1); ***** error stk_sphcov_aniso (param, x, y, 0); ***** test stk_sphcov_aniso (param, x, y, 1); ***** test stk_sphcov_aniso (param, x, y, 2); ***** error stk_sphcov_aniso (param, x, y, 3); ***** error stk_sphcov_aniso (param, x, y, nan); ***** error stk_sphcov_aniso (param, x, y, inf); ***** shared dim, param, x, y, nx, ny dim = 3; param = log ([1.0; 2.5; 2.4; 2.6]); nx = 4; ny = 10; x = stk_sampling_randunif (nx, dim); y = stk_sampling_randunif (ny, dim); ***** test K1 = stk_sphcov_aniso (param, x, y); K2 = stk_sphcov_aniso (param, x, y, -1); assert (isequal (size(K1), [nx ny])); assert (stk_isequal_tolabs (K1, K2)); ***** test for i = 1:(dim + 1), dK = stk_sphcov_aniso (param, x, y, i); assert (isequal (size (dK), [nx ny])); end ***** test n = 7; x = stk_sampling_randunif (n, dim); y = stk_sampling_randunif (n, dim); K1 = stk_sphcov_aniso (param, x, y); K2 = stk_sphcov_aniso (param, x, y, -1, true); assert (isequal (size (K1), [n n])); assert (stk_isequal_tolabs (K2, diag (K1))); for i = 1:(dim + 1), dK1 = stk_sphcov_aniso (param, x, y, i); dK2 = stk_sphcov_aniso (param, x, y, i, true); assert (isequal (size (dK1), [n n])); assert (stk_isequal_tolabs (dK2, diag (dK1))); end 20 tests, 20 passed, 0 known failure, 0 skipped [inst/covfcs/stk_discretecov.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/stk_discretecov.m ***** shared model, model2, x0 n0 = 20; n1 = 10; dim = 4; x0 = stk_sampling_randunif (n0, dim); x1 = stk_sampling_randunif (n1, dim); model = stk_model ('stk_materncov52_aniso', dim); model.lm = stk_lm_affine (); model.param = log ([1.0; 2.1; 2.2; 2.3; 2.4]); ***** test % without noise, pairwise = false model.lognoisevariance = - inf; model2 = stk_model ('stk_discretecov', model, x0); idx = [1 4 9]; [K1, P1] = stk_make_matcov (model, x0(idx, :)); [K2, P2] = stk_make_matcov (model2, idx'); assert (stk_isequal_tolrel (K1, K2)); assert (stk_isequal_tolrel (P1, P2)); ***** test % without noise, pairwise = true K1 = stk_make_matcov (model, x0([2 5 6], :), [], true); K2 = stk_make_matcov (model2, [2 5 6]', [], true); assert (stk_isequal_tolrel (K1, K2)); ***** test % with noise, pairwise = false model.lognoisevariance = log (0.01); model2 = stk_model ('stk_discretecov', model, x0); idx = [1 4 9]; [K1, P1] = stk_make_matcov (model, x0(idx, :)); [K2, P2] = stk_make_matcov (model2, idx'); assert (stk_isequal_tolrel (K1, K2)); assert (stk_isequal_tolrel (P1, P2)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/covfcs/stk_materncov32_iso.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/covfcs/stk_materncov32_iso.m ***** shared param, x, y dim = 1; param = log ([1.0; 2.5]); x = stk_sampling_randunif (5, dim); y = stk_sampling_randunif (5, dim); ***** error 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/core/stk_cholcov.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/core/stk_cholcov.m ***** shared Q, K, L, U, epsi Q = 0.25 * hadamard(4); ***** test K = Q * diag ([1, 0.1, 0.01, 1e-7]) * Q'; [U, epsi] = stk_cholcov (K); ***** assert (istriu (U)) ***** assert (epsi == 0) ***** test K = Q * diag ([1, 0.1, 0.01, 1e-7]) * Q'; [L, epsi] = stk_cholcov (K, 'lower'); ***** assert (istril (L)) ***** assert (epsi == 0) ***** test K = Q * diag ([1, 0.1, 0.01, -1e-7]) * Q'; [U, epsi] = stk_cholcov (K); ***** assert (istriu (U)) ***** assert (epsi > 0) ***** test K = Q * diag ([1, 0.1, 0.01, -1e-7]) * Q'; [L, epsi] = stk_cholcov (K, 'lower'); ***** assert (istril (L)) ***** assert (epsi > 0) 12 tests, 12 passed, 0 known failure, 0 skipped [inst/core/@stk_kreq_qr/stk_update.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/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] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/core/@stk_kreq_qr/stk_kreq_qr.m ***** test stk_test_class ('stk_kreq_qr') 1 test, 1 passed, 0 known failure, 0 skipped [inst/core/stk_model_update.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/core/stk_model_update.m ***** test x1 = (linspace (0, 1, 15))'; z1 = sin (x1); x2 = (linspace (2, 3, 15))'; z2 = sin (x2); xt = (linspace (1, 2, 15))'; zt = sin (xt); % Prior model M0 = stk_model ('stk_materncov32_iso'); M0.param = log ([1.0; 2.1]); M1 = stk_model_update (M0, x1, z1); M1 = stk_model_update (M1, x2, z2); % this calls @stk_model_gpposterior/... zp1 = stk_predict (M1, xt); M2 = stk_model_gpposterior (M0, [x1; x2], [z1; z2]); zp2 = stk_predict (M2, xt); assert (stk_isequal_tolabs (double (zp2 - zp1), zeros (15, 2), 1e-10)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/core/stk_predict_leaveoneout.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/core/stk_predict_leaveoneout.m ***** shared n, x_obs, z_obs, model n = 20; x_obs = stk_sampling_regulargrid (n, 1, [0; 2*pi]); z_obs = stk_feval (@sin, x_obs); model = stk_model ('stk_materncov32_iso'); model.param = log ([1; 5]); ***** test % one output loo_pred = stk_predict_leaveoneout (model, x_obs, z_obs); assert (isequal (size (loo_pred), [n 2])); assert (isequal (loo_pred.colnames, {'mean', 'var'})); assert (all (isfinite (loo_pred(:)))); ***** test % two outputs [loo_pred, loo_res] = stk_predict_leaveoneout (model, x_obs, z_obs); assert (isequal (size (loo_pred), [n 2])); assert (isequal (loo_pred.colnames, {'mean', 'var'})); assert (all (isfinite (loo_pred(:)))); assert (isequal (size (loo_res), [n 2])); assert (isequal (loo_res.colnames, {'residuals', 'norm_res'})); assert (all (isfinite (loo_res(:)))); ***** test % heteroscedastic noise case model.lognoisevariance = (1 + rand (n, 1)) * 1e-6; [loo_pred, loo_res] = stk_predict_leaveoneout (model, x_obs, z_obs); assert (isequal (size (loo_pred), [n 2])); assert (isequal (loo_pred.colnames, {'mean', 'var'})); assert (all (isfinite (loo_pred(:)))); assert (isequal (size (loo_res), [n 2])); assert (isequal (loo_res.colnames, {'residuals', 'norm_res'})); assert (all (isfinite (loo_res(:)))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/core/stk_predict.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/core/stk_predict.m ***** shared n, m, model, x0, x_obs, z_obs, x_prd, y_prd1, idx_obs, idx_prd n = 10; % number of observations m = n + 1; % number of predictions d = 1; % dimension of the input space x0 = stk_sampling_regulargrid(n+m, d, [0; pi]); idx_obs = (2:2:(n+m-1))'; idx_prd = (1:2:(n+m))'; x_obs = x0(idx_obs); z_obs = sin (double (x_obs)); x_prd = x0(idx_prd); model = stk_model ('stk_materncov32_iso'); model.param = log ([1.0; 2.1]); ***** error y_prd1 = stk_predict (); ***** error y_prd1 = stk_predict (model); ***** 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_make_matcov.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/core/stk_make_matcov.m ***** shared model, model2, x0, x1, n0, n1, d, Ka, Kb, Kc, Pa, Pb, Pc n0 = 20; n1 = 10; d = 4; model = stk_model ('stk_materncov52_aniso', d); model.lm = stk_lm_affine; model.param = log ([1.0; 2.1; 2.2; 2.3; 2.4]); model2 = model; model2.lognoisevariance = log(0.01); x0 = stk_sampling_randunif (n0, d); x1 = stk_sampling_randunif (n1, d); ***** error [KK, PP] = stk_make_matcov (); ***** error [KK, PP] = stk_make_matcov (model); ***** test [Ka, Pa] = stk_make_matcov (model, x0); % (1) ***** test [Kb, Pb] = stk_make_matcov (model, x0, x0); % (2) ***** test [Kc, Pc] = stk_make_matcov (model, x0, x1); % (3) ***** error [KK, PP] = stk_make_matcov (model, x0, x1, pi); ***** assert (isequal (size (Ka), [n0 n0])); ***** assert (isequal (size (Kb), [n0 n0])); ***** assert (isequal (size (Kc), [n0 n1])); ***** assert (isequal (size (Pa), [n0 d + 1])); ***** assert (isequal (size (Pb), [n0 d + 1])); ***** assert (isequal (size (Pc), [n0 d + 1])); ***** assert (isequal (Kb, Ka)); ***** test [Ka, Pa] = stk_make_matcov (model2, x0); % (1') ***** test [Kb, Pb] = stk_make_matcov (model2, x0, x0); % (2') ***** error assert (isequal (Kb, Ka)); ***** assert (isequal (Pa, Pb)); ***** assert (isequal (Pa, Pc)); 18 tests, 18 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_gls.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/param/estim/stk_param_gls.m ***** shared xi, zi, model, beta, sigma2 xi = (1:10)'; zi = sin (xi); model = stk_model ('stk_materncov52_iso'); model.param = [0.0 0.0]; ***** test model.lm = stk_lm_constant (); [beta, sigma2] = stk_param_gls (model, xi, zi); ***** assert (stk_isequal_tolabs (beta, 0.1346064, 1e-6)) ***** assert (stk_isequal_tolabs (sigma2, 0.4295288, 1e-6)) ***** test model.lm = stk_lm_affine (); [beta, sigma2] = stk_param_gls (model, xi, zi); ***** assert (stk_isequal_tolabs (beta, [0.4728342; -0.0614960], 1e-6)) ***** assert (stk_isequal_tolabs (sigma2, 0.4559431, 1e-6)) ***** test model.lm = stk_lm_null (); [beta, sigma2] = stk_param_gls (model, xi, zi); ***** assert (isequal (beta, zeros (0, 1))) ***** assert (stk_isequal_tolabs (sigma2, 0.3977993, 1e-6)) 9 tests, 9 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_init.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/param/estim/stk_param_init.m ***** test xi = (1:10)'; zi = sin (xi); model = stk_model ('stk_materncov52_iso'); model.param = stk_param_init (model, xi, zi, [1; 10], false); xt = (1:9)' + 0.5; zt = sin (xt); zp = stk_predict (model, xi, zi, xt); assert (sum ((zt - zp.mean) .^ 2) < 1e-3); ***** test % check equivariance of parameter estimates f = @(x) sin (x); xi = stk_sampling_regulargrid (10, 1); zi = stk_feval (f, xi); shift = 1000; scale = 0.01; model = stk_model ('stk_materncov32_iso'); p1 = stk_param_init (model, xi, zi); p2 = stk_param_init (model, xi, shift + scale .* zi); assert (stk_isequal_tolabs (p2(1), p1(1) + log (scale^2), 1e-10)) assert (stk_isequal_tolabs (p2(2), p1(2), eps)) ***** shared xi, zi, BOX, xt, zt f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); DIM = 1; % Dimension of the factor space BOX = [-1.0; 1.0]; % Factor space xi = stk_sampling_regulargrid (20, DIM, BOX); % Evaluation points zi = stk_feval (f, xi); % Evaluation results NT = 400; % Number of points in the grid xt = stk_sampling_regulargrid (NT, DIM, BOX); % Generate a regular grid zt = stk_feval (f, xt); % Values of f on the grid ***** xtest % This test is known to fail in Debian buster i386 % because of a known problem in Octave's sqp/qp functions % http://savannah.gnu.org/bugs/?38875 model = stk_model ('stk_materncov_iso'); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) ***** 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 = 1.09648e-18 warning: called from linsolve at line 113 column 7 linsolve at line 42 column 3 stk_set_righthandside at line 44 column 16 stk_make_kreq at line 35 column 6 stk_predict at line 112 column 10 stk_predict at line 76 column 16 __test__ at line 6 column 5 test at line 677 column 11 /tmp/tmp.LZIeC2lnPQ at line 902 column 31 ***** test model = stk_model ('stk_gausscov_aniso'); [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (max ((zp.mean - zt) .^ 2) < 1e-3) warning: matrix singular to machine precision, rcond = 2.99964e-18 warning: called from linsolve at line 113 column 7 linsolve at line 42 column 3 stk_set_righthandside at line 44 column 16 stk_make_kreq at line 35 column 6 stk_predict at line 112 column 10 stk_predict at line 76 column 16 __test__ at line 6 column 5 test at line 677 column 11 /tmp/tmp.LZIeC2lnPQ at line 902 column 31 ***** test % Homoscedastic case / do_estim_lnv = true model = stk_model ('stk_materncov32_iso'); [model.param, model.lognoisevariance] = ... stk_param_init (model, xi, zi, BOX, true); [model.param, model.lognoisevariance] = ... stk_param_estim (model, xi, zi); zp = stk_predict (model, xi, zi, xt); assert (model.lognoisevariance > -inf); assert (max ((zp.mean - zt) .^ 2) < 1e-3) warning: This way of setting do_estim_lnv is deprecated warning: called from stk_param_init>stk_param_init_ at line 250 column 5 stk_param_init at line 87 column 18 __test__ at line 4 column 40 test at line 677 column 11 /tmp/tmp.LZIeC2lnPQ at line 902 column 31 ***** error % Homoscedastic case / do_estim_lnv = false / model.lnv = nan model = stk_model ('stk_materncov32_iso'); model.lognoisevariance = nan; % not compatible with do_estim_lnv == false [model.param, model.lognoisevariance] = ... stk_param_init (model, xi, zi, BOX, false); ***** test % Heteroscedastic case / known noise variance model = stk_model ('stk_materncov32_iso'); lnv = log ((100 + rand (size (zi))) / 1e6); model.lognoisevariance = lnv; % here we say that lnv is known [param0, model.lognoisevariance] = stk_param_init (model, xi, zi, BOX); model.param = stk_param_estim (model, xi, zi, param0); zp = stk_predict (model, xi, zi, xt); assert (isequal (model.lognoisevariance, lnv)); % should be untouched assert (max ((zp.mean - zt) .^ 2) < 1e-3) ***** shared model, x, z model = stk_model ('stk_materncov52_iso'); n = 10; x = stk_sampling_regulargrid (n, 1, [0; 1]); z = ones (size (x)); ***** test % Constant response, noiseless model [param, lnv] = stk_param_init (model, x, z); assert ((all (isfinite (param))) && (length (param) == 2)); assert (isequal (lnv, -inf)); warning: Parameter estimation is impossible with constant-response data. warning: called from stk_param_init>paraminit_ at line 351 column 5 stk_param_init>stk_param_init_ at line 323 column 14 stk_param_init at line 87 column 18 __test__ at line 3 column 15 test at line 677 column 11 /tmp/tmp.LZIeC2lnPQ at line 902 column 31 ***** test % Constant response, noisy model model.lognoisevariance = nan; [param, lnv] = stk_param_init (model, x, z); assert ((all (isfinite (param))) && (length (param) == 2)); assert (isscalar (lnv) && isfinite (lnv)); warning: Parameter estimation is impossible with constant-response data. warning: called from stk_param_init>paraminit_ at line 351 column 5 stk_param_init>stk_param_init_ at line 323 column 14 stk_param_init at line 87 column 18 __test__ at line 4 column 15 test at line 677 column 11 /tmp/tmp.LZIeC2lnPQ at line 902 column 31 15 tests, 15 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_estim.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/param/estim/stk_param_estim.m ***** shared f, xi, zi, NI, param0, param1, model f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x)) ); DIM = 1; NI = 20; box = [-1.0; 1.0]; xi = stk_sampling_regulargrid (NI, DIM, box); SIGMA2 = 1.0; % variance parameter NU = 4.0; % regularity parameter RHO1 = 0.4; % scale (range) parameter param0 = log ([SIGMA2; NU; 1/RHO1]); model = stk_model ('stk_materncov_iso'); ***** test % noiseless zi = stk_feval (f, xi); param1 = stk_param_estim (model, xi, zi, param0); assert (isequal (size (param1), size (param0))) ***** 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: called from stk_param_estim at line 95 column 5 __test__ at line 5 column 8 test at line 677 column 11 /tmp/tmp.LZIeC2lnPQ at line 910 column 31 warning: Parameter estimation is impossible with constant-response data. warning: called from stk_param_init>paraminit_ at line 351 column 5 stk_param_init>stk_param_init_ at line 323 column 14 stk_param_init at line 87 column 18 stk_param_estim>provide_starting_point at line 205 column 20 stk_param_estim at line 110 column 30 __test__ at line 5 column 8 test at line 677 column 11 /tmp/tmp.LZIeC2lnPQ at line 910 column 31 11 tests, 11 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_init_lnv.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/param/estim/stk_param_init_lnv.m ***** test f = @(x)(- (0.8 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); ni = 20; xi = (linspace (-1, 1, ni))' + 0.2 * (randn (ni, 1)); zi = stk_feval (f, xi); model = stk_model ('stk_materncov_iso'); model.param = log ([1; 5/2; 1/0.4]); model.lognoisevariance = nan; lnv = stk_param_init_lnv (model, xi, zi); assert ((isscalar (lnv)) && (lnv > -30) && (lnv < 30)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/param/estim/stk_param_relik.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/param/estim/stk_param_relik.m ***** shared f, xi, zi, NI, model, C, dC1, dC2 f = @(x)(- (0.8 * x(:, 1) + sin (5 * x(:, 2) + 1) ... + 0.1 * sin (10 * x(:, 3)))); DIM = 3; NI = 20; box = repmat ([-1.0; 1.0], 1, DIM); xi = stk_sampling_halton_rr2 (NI, DIM, box); zi = stk_feval (f, xi); SIGMA2 = 1.0; % variance parameter NU = 4.0; % regularity parameter RHO1 = 0.4; % scale (range) parameter model = stk_model('stk_materncov_aniso'); model.param = log([SIGMA2; NU; 1/RHO1 * ones(DIM, 1)]); ***** error [C, dC1, dC2] = stk_param_relik (); ***** error [C, dC1, dC2] = stk_param_relik (model); ***** error [C, dC1, dC2] = stk_param_relik (model, xi); ***** test [C, dC1, dC2] = stk_param_relik (model, xi, zi); ***** test TOL_REL = 0.01; assert (stk_isequal_tolrel (C, 21.6, TOL_REL)); assert (stk_isequal_tolrel (dC1, [4.387 -0.1803 0.7917 0.1392 2.580]', TOL_REL)); assert (isequal (dC2, [])); ***** shared xi, zi, model, TOL_REL xi = [-1 -.6 -.2 .2 .6 1]'; zi = [-0.11 1.30 0.23 -1.14 0.36 -0.37]'; model = stk_model ('stk_materncov_iso'); model.param = log ([1.0 4.0 2.5]); model.lognoisevariance = log (0.01); TOL_REL = 0.01; ***** test % Another simple 1D check [C, dC1, dC2] = stk_param_relik (model, xi, zi); assert (stk_isequal_tolrel (C, 6.327, TOL_REL)); assert (stk_isequal_tolrel (dC1, [0.268 0.0149 -0.636]', TOL_REL)); assert (stk_isequal_tolrel (dC2, -1.581e-04, TOL_REL)); ***** test % Same 1D test with simple kriging model.lm = stk_lm_null; [C, dC1, dC2] = stk_param_relik (model, xi, zi); assert (stk_isequal_tolrel (C, 7.475, TOL_REL)); assert (stk_isequal_tolrel (dC1, [0.765 0.0238 -1.019]', TOL_REL)); assert (stk_isequal_tolrel (dC2, 3.0517e-03, TOL_REL)); ***** test % Check the gradient on a 2D test case f = @stk_testfun_braninhoo; DIM = 2; BOX = [[-5; 10], [0; 15]]; NI = 20; TOL_REL = 1e-2; DELTA = 1e-6; model = stk_model ('stk_materncov52_iso', DIM); 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/sampling/stk_sampling_regulargrid.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/sampling/stk_sampling_regulargrid.m ***** shared x, n, dim, box n = 9; dim = 2; box = [0, 0; 1, 1]; ***** error x = stk_sampling_regulargrid (); ***** test x = stk_sampling_regulargrid (n); ***** test x = stk_sampling_regulargrid (n, dim); ***** test x = stk_sampling_regulargrid (n, dim, box); ***** assert (isa (x, 'stk_dataframe')); ***** assert (isa (x, 'stk_factorialdesign')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_regulargrid (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:3, n = 3^dim; x = stk_sampling_regulargrid(n, dim); assert(isequal(size(x), [n dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); end ***** test nn = [3 4 5]; for dim = 1:3, x = stk_sampling_regulargrid(nn(1:dim), dim); assert(isequal(size(x), [prod(nn(1:dim)) dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); end 10 tests, 10 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_nestedlhs.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/sampling/stk_sampling_nestedlhs.m ***** shared x, n, dim, box, niter, levels n = [48; 12; 4; 2]; dim = 2; box = [0, 0; 4, 4]; niter = 10; levels = [10.1; 15.2; -9.3; 2.4; 17.5]; ***** error x = stk_sampling_nestedlhs (); ***** test x = stk_sampling_nestedlhs (n); ***** test x = stk_sampling_nestedlhs (n, dim); ***** test x = stk_sampling_nestedlhs (n, dim, box); ***** test x = stk_sampling_nestedlhs (n, dim, box, niter); ***** test x = stk_sampling_nestedlhs (n, dim, box, niter, levels); ***** assert ( isequal(size(x), [sum(n), dim + 1]) ); ***** assert ( isa(x, 'stk_dataframe') ); cn = [0; cumsum(n)]; for lev = 1:length(n), y = x( (cn(lev) + 1):(cn(lev + 1)), 1:dim ); assert (isequal (size (y), [n(lev) dim])); assert (stk_is_lhs (y, n(lev), dim, box)); if lev > 1 assert ( isequal(z((end - n(lev) + 1):end, :), y) ); end z = y; end ***** assert (isequal (x.colnames{dim + 1}, 'Level')); levels = stk_dataframe(levels, {'t'}); box = stk_hrect(box, {'x1', 'x2', 'x3', 'x4'}); ***** test x = stk_sampling_nestedlhs (n, [], box, [], levels); ***** assert (isequal(x.colnames, {'x1', 'x2', 'x3', 'x4', 't'}) ); 11 tests, 11 passed, 0 known failure, 0 skipped [inst/sampling/@stk_function/stk_function.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/sampling/@stk_function/stk_function.m ***** shared F ***** test F = stk_function () % ending ";" omitted on purpose, to test disp F = ***** error [F F]; % arrays of sampling criterion objects are not supported ***** error [F; F]; % idem ***** error get (F, 'toto'); % field does not exist ***** error y = feval (F, 1.0); % not implemented for "pure" function objects ***** error dummy = F{2}; % illegal indexing ***** error dummy = F(1.0); % feval not implemented ***** error dummy = F.toto; % field does not exist ***** error F{2} = 1.234; % illegal indexing ***** error F(5) = 1.234; % illegal indexing ***** error F.toto = 1.234; % field does not exist 11 tests, 11 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampcrit_ehvi_eval.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/sampling/stk_sampcrit_ehvi_eval.m ***** shared zr, zi zr = [1 1]; zi = [0.25 0.75; 0.5 0.5; 0.75 0.25]; ***** test % no improvement (1 computation) zp_mean = [0.6 0.6]; zp_std = [0 0]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, 0, 1e-12)); ***** test % guaranteed improvement (1 computation) zp_mean = [0 0]; zp_std = [0 0]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, 10 * 0.25 ^ 2)); ***** test % no improvement again (2 computations) zp_mean = [0.5 0.5; 0.6 0.6]; zp_std = [0 0; 0 0]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, [0; 0], 1e-12)); ***** test % no observation -> EHVI wrt zr zp_mean = [0.6 0.6]; zp_std = 0.01 * [1 1]; zi = []; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, (1 - 0.6)^2, 1e-12)); ***** test % no observation below zr -> EHVI wrt zr zp_mean = [0.6 0.6]; zp_std = 0.01 * [1 1]; zi = [2 2]; EHVI = stk_sampcrit_ehvi_eval (zp_mean, zp_std, zi, zr); assert (stk_isequal_tolabs (EHVI, (1 - 0.6)^2, 1e-12)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_maximinlhs.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/sampling/stk_sampling_maximinlhs.m ***** shared x, n, dim, box, niter n = 20; dim = 2; box = [0, 0; 1, 1]; niter = 1; ***** error x = stk_sampling_maximinlhs (); ***** test x = stk_sampling_maximinlhs (n); ***** test x = stk_sampling_maximinlhs (n, dim); ***** test x = stk_sampling_maximinlhs (n, dim, box); ***** test x = stk_sampling_maximinlhs (n, dim, box, niter); ***** assert (isa (x, 'stk_dataframe')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_maximinlhs (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:5, x = stk_sampling_randomlhs (n, dim); assert (isequal (size (x), [n dim])); u = double (x); u = u(:); assert (~ any (isnan (u) | isinf (u))); assert ((min (u) >= 0) && (max (u) <= 1)); assert (stk_is_lhs (x, n, dim)); end 9 tests, 9 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_randunif.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/sampling/stk_sampling_randunif.m ***** shared x, n, dim, box n = 10; dim = 2; box = [0, 0; 2, 2]; ***** error x = stk_sampling_randunif (); ***** test x = stk_sampling_randunif (n); ***** test x = stk_sampling_randunif (n, dim); ***** test x = stk_sampling_randunif (n, dim, box); ***** assert (isa(x, 'stk_dataframe')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_randunif (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:5, x = stk_sampling_randunif(n, dim); assert(isequal(size(x), [n dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); end 8 tests, 8 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_randomlhs.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/sampling/stk_sampling_randomlhs.m ***** shared x, n, dim, box n = 10; dim = 2; box = [0, 0; 1, 1]; ***** error x = stk_sampling_randomlhs (); ***** test x = stk_sampling_randomlhs (n); ***** test x = stk_sampling_randomlhs (n, dim); ***** test x = stk_sampling_randomlhs (n, dim, box); ***** assert (isa(x, 'stk_dataframe')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_randomlhs (n, dim, box); assert (isequal (x.colnames, cn)); ***** test for dim = 1:5, x = stk_sampling_randomlhs(n, dim); assert(isequal(size(x), [n dim])); u = double(x); u = u(:); assert(~any(isnan(u) | isinf(u))); assert((min(u) >= 0) && (max(u) <= 1)); assert(stk_is_lhs(x, n, dim)); end 8 tests, 8 passed, 0 known failure, 0 skipped [inst/sampling/@stk_sampcrit_ei/stk_sampcrit_ei.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/sampling/@stk_sampcrit_ei/stk_sampcrit_ei.m ***** shared F, M, EI M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); ***** 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_olhs.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/sampling/stk_sampling_olhs.m ***** shared x, n, d, box, permut n = 5; d = 2; box = [0 0; 1, 1]; permut = 1:2; ***** error x = stk_sampling_olhs(); ***** test x = stk_sampling_olhs(n); ***** test x = stk_sampling_olhs(n, d); ***** test x = stk_sampling_olhs(n, d, box); ***** test x = stk_sampling_olhs(n, d, box, permut); ***** error x = stk_sampling_olhs(n, d, box, permut, pi); ***** assert (isa (x, 'stk_dataframe')); ***** assert (isequal (x.colnames, {})); ***** test cn = {'W', 'H'}; box = stk_hrect (box, cn); x = stk_sampling_olhs (n, d, box); assert (isequal (x.colnames, cn)); ***** test for r = 1:5 n = 2 ^ (r + 1) + 1; d = 2 * r; x = stk_sampling_olhs (n, d); assert (isequal (size (x), [n d])); box = repmat ([-1; 1], 1, d); assert (stk_is_lhs (x, n, d, box)); x = double (x); w = x' * x; assert (stk_isequal_tolabs (w / w(1,1), eye (d))); end 10 tests, 10 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_vdc_rr2.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/sampling/stk_sampling_vdc_rr2.m ***** error __stk_sampling_vdc_rr2__() % two inputs required ***** error __stk_sampling_vdc_rr2__(10) % two inputs required ***** error __stk_sampling_vdc_rr2__(10, 3, -1) % two inputs required ***** test n = 300; j = 25; x = __stk_sampling_vdc_rr2__(n, j); assert(isequal(size(x), [n 1])) ***** test x = __stk_sampling_vdc_rr2__(2000, 7); y = double (x(1998:2000, :)); yref = [0.849786281294525; 0.085080398941584; 0.555668634235701]; assert(stk_isequal_tolrel(y, yref, 1e-13)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/sampling/@stk_sampcrit_akg/stk_sampcrit_akg.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/sampling/@stk_sampcrit_akg/stk_sampcrit_akg.m ***** shared F, M, AKG M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); ***** test F = stk_sampcrit_akg () % ending ";" omitted on purpose, to test disp F = | | model: -- (not instantiated) | reference_grid: -- (use current evaluation points) | ***** assert (isempty (F.model)) ***** assert (isempty (get (F, 'model'))) ***** assert (isempty (F.reference_grid)) ***** assert (isempty (get (F, 'reference_grid'))) ***** error F.toto ***** error get (F, 'toto') ***** error F.toto = 1.234; % field does not exist ***** error F = set (F, 'toto', 1.234); % field does not exist ***** error AKG = feval (F, 1.0); ***** test F = stk_sampcrit_akg (); F.model = M; assert (isequal (F.model, M)); ***** test F = stk_sampcrit_akg (); F = set (F, 'model', M); assert (isequal (F.model, M)); assert (isequal (size (F.zr_mean), [3 1])) % n x 1 assert (isequal (size (F.zr_std), [3 1])) % n x 1 assert (isequal (size (F.zr_lambdamu), [4 3])) % (n+1) x n (constant mean) ***** test F.model = []; % remove model assert (isempty (F.model)); assert (isempty (F.zr_mean)) assert (isempty (F.zr_std)) assert (isempty (F.zr_lambdamu)) ***** test xr = [1 1.5 2 2.5 3]'; F.reference_grid = xr % ending ";" omitted on purpose, to test disp assert (isequal (F.reference_grid, xr)) assert (isempty (F.zr_mean)) assert (isempty (F.zr_std)) assert (isempty (F.zr_lambdamu)) F = | | model: -- (not instantiated) | reference_grid: <5x1 double array> | ***** test F.reference_grid = []; assert (isempty (F.reference_grid)) ***** test F = stk_sampcrit_akg (); F.model = M; assert (isequal (F.model, M)); xr = [1 1.5 2 2.5 3]'; F.reference_grid = xr % ending ";" omitted on purpose, to test disp assert (isequal (F.reference_grid, xr)) assert (isequal (size (F.zr_mean), [5 1])) % nr x 1 assert (isequal (size (F.zr_std), [5 1])) % nr x 1 assert (isequal (size (F.zr_lambdamu), [4 5])) % (n+1) x nr (constant mean) F = | | model: | reference_grid: <5x1 double array> | ***** test F.reference_grid = []; assert (isempty (F.reference_grid)) ***** test F = stk_sampcrit_akg (M) % ending ";" omitted on purpose, to test disp F = | | model: | reference_grid: -- (use current evaluation points) | ***** assert (isequal (F.model, M)) ***** test AKG = feval (F, [1.0; 1.1; 1.2]); ***** assert (isequal (size (AKG), [3 1])) ***** assert (all (AKG >= 0)) ***** test [AKG2, zp] = feval (F, [1.0; 1.1; 1.2]); assert (isequal (AKG2, AKG)); assert (isa (zp, 'stk_dataframe') && isequal (size (zp), [3 2])) ***** shared F, xr xr = [1 1.5 2 2.5 3]'; ***** test F = stk_sampcrit_akg (stk_model ()); ***** assert (isempty (F.reference_grid)) ***** test F.reference_grid = xr; ***** assert (isequal (F.reference_grid, xr)) ***** assert (isempty (F.zr_mean)) ***** assert (isempty (F.zr_std)) ***** assert (isempty (F.zr_lambdamu)) ***** error AKG = feval (F, 1.0); ***** shared F, M, xr xr = [1 1.5 2 2.5 3]'; M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); ***** test F = stk_sampcrit_akg (M, xr); ***** assert (isequal (F.model, M)) ***** assert (isequal (F.reference_grid, xr)) ***** assert (isequal (size (F.zr_mean), [5 1])) % nr x 1 ***** assert (isequal (size (F.zr_std), [5 1])) % nr x 1 ***** assert (isequal (size (F.zr_lambdamu), [4 5])) % (n+1) x nr (constant mean) 37 tests, 37 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_nesteddesign.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/sampling/stk_sampling_nesteddesign.m ***** shared x, n, dim, box, niter, levels n = [23; 14; 5; 2]; dim = 2; box = [0, 0; 4, 4]; niter = 10; levels = [10.1; 15.2; -9.3; 2.4; 17.5]; ***** error x = stk_sampling_nesteddesign (); ***** test x = stk_sampling_nesteddesign (n); ***** test x = stk_sampling_nesteddesign (n, dim); ***** test x = stk_sampling_nesteddesign (n, dim, box); ***** test x = stk_sampling_nesteddesign (n, dim, box, niter); ***** test x = stk_sampling_nesteddesign (n, dim, box, niter, levels); ***** assert ( isequal(size(x), [sum(n), dim + 1]) ); ***** assert ( isa(x, 'stk_dataframe') ); cn = [0; cumsum(n)]; for lev = 1:length(n), y = x( (cn(lev) + 1):(cn(lev + 1)), 1:dim ); assert (isequal (size (y), [n(lev) dim])); if lev > 1 assert ( isequal(z((end - n(lev) + 1):end, :), y) ); end if lev == length(n) assert (stk_is_lhs (y, n(lev), dim, box)); end z = y; end ***** assert (isequal (x.colnames{dim + 1}, 'Level')); levels = stk_dataframe(levels, {'t'}); box = stk_hrect(box, {'x1', 'x2', 'x3', 'x4'}); ***** test x = stk_sampling_nesteddesign (n, [], box, [], levels); ***** assert (isequal(x.colnames, {'x1', 'x2', 'x3', 'x4', 't'}) ); 11 tests, 11 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampcrit_ei_eval.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/sampling/stk_sampcrit_ei_eval.m ***** error EI = stk_sampcrit_ei_eval () % not enough args ***** error EI = stk_sampcrit_ei_eval (0) % not enough args ***** shared xi, zi, M_prior, xt, zp, EIref, EI1, EI2, EI3 xi = [0; 0.2; 0.7; 0.9]; zi = [1; 0.9; 0.6; 0.1]; M_prior = stk_model('stk_materncov32_iso'); M_prior.param = log ([1.0; 2.1]); xt = stk_sampling_regulargrid (20, 1, [0; 1]); zp = stk_predict (M_prior, xi, zi, xt); EIref = stk_distrib_normal_ei (min (zi), zp.mean, sqrt (zp.var), true); ***** test % Current syntax (STK 2.4.1 and later) EI1 = stk_sampcrit_ei_eval (zp.mean, sqrt (zp.var), min (zi)); ***** assert (isequal (EI1, EIref)) 4 tests, 4 passed, 0 known failure, 0 skipped [inst/sampling/stk_halfpintl.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/sampling/stk_halfpintl.m ***** test % case #1 a = 1; b = 1; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (a_out == 1) assert (b_out == 1) assert (isempty (z_out)) ***** test % case #2: two lines, slopes not equal, already sorted a = [1; -1]; b = [0; 2]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #3: same as #2, but not sorted a = [-1; 1]; b = [ 2; 0]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #4: two lines, equal slopes, already sorted a = [0; 0]; b = [1; 2]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (a_out == 0) assert (b_out == 1) assert (isempty (z_out)) ***** test % case #5: same as #4, but not sorted a = [0; 0]; b = [2; 1]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (a_out == 0) assert (b_out == 1) assert (isempty (z_out)) ***** test % case #6: add a dominated line to #2 (the result does not change) a = [1; -1; 0]; b = [0; 2; 1]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #7: permutation of #6 a = [1; 0; -1]; b = [0; 1; 2]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #8: another permutation of #6 a = [0; 1; -1]; b = [1; 0; 2]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) ***** test % case #9: same as #8, with some duplicated lines added a = [0; 1; 0; -1; 0; -1; 1]; b = [1; 0; 1; 2; 1; 2; 0]; [a_out, b_out, z_out] = stk_halfpintl (a, b); assert (isequal (a_out, [1; -1])) assert (isequal (b_out, [0; 2])) assert (z_out == 1) 9 tests, 9 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampling_halton_rr2.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/sampling/stk_sampling_halton_rr2.m ***** error stk_sampling_halton_rr2 () % nargin < 1 ***** test n = 300; d = 25; x = stk_sampling_halton_rr2 (n, d); assert (isequal (size (x), [n d])) ***** test x = stk_sampling_halton_rr2 (1000, 3); y = double (x(end, :)); yref = [0.9052734375 0.028349336991312 0.74848]; assert (stk_isequal_tolrel (y, yref, 1e-13)); ***** test dim = 2; box = stk_hrect (dim); x = stk_sampling_halton_rr2 (5, dim, box); assert (isequal (x.colnames, {})); ***** test dim = 2; cn = {'W', 'H'}; box = stk_hrect (dim, cn); x = stk_sampling_halton_rr2 (5, dim, box); assert (isequal (x.colnames, cn)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/sampling/stk_sampcrit_akg_eval.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/sampling/stk_sampcrit_akg_eval.m ***** shared zc_mean, zc_std, zr_mean, zr_std, zcr_cov, AKG, nc xi = [0; 0.2; 0.7; 0.9]; zi = [1; 0.9; 0.6; 0.1] - 10; ni = 4; M_prior = stk_model('stk_materncov32_iso'); M_prior.param = log ([1.0; 2.1]); M_prior.lognoisevariance = 0.678; nc = 20; xc = stk_sampling_regulargrid (nc, 1, [0; 1]); [zp, 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_sampcrit_eqi/stk_sampcrit_eqi.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/sampling/@stk_sampcrit_eqi/stk_sampcrit_eqi.m ***** shared F, M, EQI M = stk_model_gpposterior (stk_model, [1 2 3]', [1.234 3 2]'); ***** 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/arrays/@stk_hrect/vertcat.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_hrect/vertcat.m ***** shared d, x, y d = 10; x = stk_hrect (d); y = double (x); ***** test z = vertcat (x, x); assert (isequal (size (z), [4 d])); assert (strcmp (class (z), 'stk_dataframe')); ***** test z = vertcat (x, y); assert (isequal (size (z), [4 d])); assert (strcmp (class (z), 'stk_dataframe')); ***** test z = vertcat (y, x); assert (isequal (size (z), [4 d])); assert (strcmp (class (z), 'stk_dataframe')); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_hrect.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_hrect/stk_hrect.m ***** test stk_test_class ('stk_hrect') ***** shared dom ***** test dom = stk_hrect ([-1; 1], {'x'}); ***** assert (isequal (dom.colnames, {'x'})) ***** assert (isequal (dom.rownames, {'lower_bounds'; 'upper_bounds'})) ***** assert (isequal (dom.data, [-1; 1])) 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_rescale.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_hrect/stk_rescale.m ***** shared x x = rand (10, 4); y = stk_rescale (x, [], []); assert (stk_isequal_tolabs (x, y)); ***** test y = stk_rescale(0.5, [], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 1], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 2], []); assert (stk_isequal_tolabs (y, 0.25)); ***** test y = stk_rescale (0.5, [0; 2], [0; 1]); assert (stk_isequal_tolabs (y, 0.25)); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_normalize.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_hrect/stk_normalize.m ***** shared x, box, y1, y2, y3, y4 n = 5; box = stk_hrect ([2; 3]); x = 2 + rand (n, 1); ***** error y1 = stk_normalize (); ***** test y2 = stk_normalize (x); ***** test y3 = stk_normalize (x, box); ***** test assert (~ any ((y2 < -10 * eps) | (y2 > 1 + 10 * eps))); ***** test assert (~ any ((y3 < -10 * eps) | (y3 > 1 + 10 * eps))); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_dataframe.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_hrect/stk_dataframe.m ***** shared x, cn, rn, y, cn2, rn2 cn = {'x' 'y'}; rn = {'lower_bounds'; 'upper_bounds'}; x = stk_hrect ([0 0; 1 1], cn); cn2 = {'xx' 'yy'}; rn2 = {'aa'; 'bb'}; ***** test y = stk_dataframe (x); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, [], rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, {}, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, {})) ***** assert (isequal (y.rownames, rn2)) 20 tests, 20 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/horzcat.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_hrect/horzcat.m ***** shared d, x1, x2, x3 d = 10; x1 = stk_hrect (d); x2 = double (x1); x3 = [1:d; 0:(d-1)]; % illegal bounds ***** test y1 = horzcat (x1, x1); assert (isequal (size (y1), [2 2*d])); assert (strcmp (class (y1), 'stk_hrect')); ***** test y2 = horzcat (x1, x2); assert (isequal (size (y2), [2 2*d])); assert (strcmp (class (y2), 'stk_hrect')); ***** test y3 = horzcat (x2, x1); assert (isequal (size (y3), [2 2*d])); assert (strcmp (class (y3), 'stk_hrect')); ***** test lastwarn ('') y4 = horzcat (x1, x3); assert (isequal (size (y4), [2 2*d])); assert (strcmp (class (y4), 'stk_dataframe')); [warn_msg, warn_id] = lastwarn (); assert (strcmp (warn_id, 'STK:stk_hrect:horzcat:IllegalBounds')) warning: Illegal bounds, the result is not an stk_hrect object. warning: called from horzcat at line 47 column 9 __test__ at line 4 column 5 test at line 677 column 11 /tmp/tmp.LZIeC2lnPQ at line 1110 column 31 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/stk_boundingbox.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_hrect/stk_boundingbox.m ***** shared x, y lb = rand (1, 5); ub = lb + 1; cn = {'a', 'b', 'c', 'd', 'e'}; x = stk_hrect ([lb; ub], cn); ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y, x)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/subsref.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_hrect/subsref.m ***** test B = stk_hrect ([0 0 0 0; 1 2 3 4]); B = B(:, [1 3 4]); assert (strcmp (class (B), 'stk_hrect')); assert (isequal (double (B), [0 0 0; 1 3 4])); ***** test B = stk_hrect ([0 0 0 0; 1 2 3 4]); B = B(1, :); assert (strcmp (class (B), 'stk_dataframe')); assert (isequal (double (B), [0 0 0 0])); 2 tests, 2 passed, 0 known failure, 0 skipped [inst/arrays/@stk_hrect/ismember.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_hrect/ismember.m ***** shared n, box n = 5; box = stk_hrect (n); ***** assert (ismember (box(1, :), box)) ***** assert (ismember (box(2, :), box)) ***** assert (ismember (.5 * ones (1, 5), box)) ***** assert (~ ismember (box(1, :) - 1, box)) ***** assert (~ ismember (box(2, :) + 1, box)) ***** test y = double (box); y = [y; y + 2]; assert (isequal (ismember (y, box), [1; 1; 0; 0])) 6 tests, 6 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/length.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/length.m ***** error length (stk_dataframe ([1 2; 3 4; 5 6])) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/cos.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/cos.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = cos (x); assert (strcmp (class (v), class (u)) && isequal (v, cos (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/vertcat.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/vertcat.m ***** shared u, v u = rand (3, 2); v = rand (3, 2); ***** test x = stk_dataframe (u); y = stk_dataframe (v); z = vertcat (x, y); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); ***** test % the same, with row names this time x = stk_dataframe (u, {}, {'a'; 'b'; 'c'}); y = stk_dataframe (v, {}, {'d'; 'e'; 'f'}); z = vertcat (x, y); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); assert (all (strcmp (z.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'}))); ***** test % the same, with row names only for the first argument x = stk_dataframe (u, {}, {'a'; 'b'; 'c'}); y = stk_dataframe (v); z = vertcat (x, y); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); ***** test % incompatible variable names u = rand (3, 1); x = stk_dataframe (u, {'x'}); v = rand (3, 1); y = stk_dataframe (v, {'y'}); z = vertcat (x, y); assert (isequal (z.colnames, {})); warning: Incompatible column names ! The output of vertcat will have no column names. warning: called from vertcat at line 82 column 9 __test__ at line 5 column 4 test at line 677 column 11 /tmp/tmp.LZIeC2lnPQ at line 1158 column 31 ***** test x = stk_dataframe (u); z = vertcat (x, v); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); ***** test % the same, with row names for the first argument x = stk_dataframe (u, {}, {'a'; 'b'; 'c'}); z = vertcat (x, v); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v])); ***** test y = stk_dataframe (v); z = vertcat (u, y); assert (isa (z, 'stk_dataframe') && (isequal (double (z), [u; v]))); ***** test x = stk_dataframe (u); y = stk_dataframe (v); z = vertcat (x, y, u, v); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u; v; u; v])); ***** shared x, y x = stk_dataframe (rand (2, 3), {'a', 'b', 'c'}); y = stk_dataframe (rand (3, 2), {'a', 'b'}); y = horzcat (y, rand(3, 1)); % last column name is missing ***** test z = vertcat (x, y); assert (isequal (z.colnames, {'a' 'b' 'c'})) ***** test z = vertcat (y, x); assert (isequal (z.colnames, {'a' 'b' 'c'})) 10 tests, 10 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/exp.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/exp.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = exp (x); assert (strcmp (class (v), class (u)) && isequal (v, exp (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/unique.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/unique.m ***** test cn = {'u' 'v' 'w'}; x = stk_dataframe (rand (4, 3), cn); y = [x; x]; z = unique (y, 'rows'); assert (isequal (z.colnames, cn)); assert (isequal (z.data, unique (x.data, 'rows'))); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mtimes.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/mtimes.m ***** shared x, y, z, w u = [1 3 4; 2 7 6]; % 2 x 3 v = [6 2; 1 7; 9 4]; % 3 x 2 w = [45 39; 73 77]; % u * v x = stk_dataframe (u, {}, {'a'; 'b'}); y = stk_dataframe (v, {'c' 'd'}); z = x * y; ***** assert (isa (z, 'stk_dataframe')); ***** assert (isequal (z.data, w)); ***** assert (isequal (z.rownames, x.rownames)); ***** assert (isequal (z.colnames, y.colnames)); ***** shared x, y x = stk_dataframe (rand (3, 2), {'x' 'y'}, {'a'; 'b'; 'c'}); ***** test y = 3 * x; ***** assert (isequal (y, stk_dataframe (3 * x.data, {'x' 'y'}, {'a'; 'b'; 'c'}))); ***** test y = x * 3; ***** assert (isequal (y, stk_dataframe (3 * x.data, {'x' 'y'}, {'a'; 'b'; 'c'}))); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/asin.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/asin.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = asin (x); assert (strcmp (class (v), class (u)) && isequal (v, asin (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/plus.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/plus.m ***** test stk_test_dfbinaryop(@plus, rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop(@plus, rand(7, 2), pi); ***** error stk_test_dfbinaryop(@plus, rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/abs.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/abs.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = abs (x); assert (strcmp (class (v), class (u)) && isequal (v, abs (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sind.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/sind.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = sind (x); assert (strcmp (class (v), class (u)) && isequal (v, sind (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/atanh.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/atanh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = atanh (x); assert (strcmp (class (v), class (u)) && isequal (v, atanh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/log2.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/log2.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = log2 (x); assert (strcmp (class (v), class (u)) && isequal (v, log2 (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sum.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/sum.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (sum(df1), sum(x1))) ***** assert (isequal (sum(df1, 1), sum(x1))) ***** assert (isequal (sum(df1, 2), sum(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/log1p.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/log1p.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = log1p (x); assert (strcmp (class (v), class (u)) && isequal (v, log1p (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/double.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/double.m ***** test u = rand(4, 3); x = stk_dataframe(u); v = double(x); assert (strcmp(class(v), 'double') && isequal(v, u)) ***** test u = (rand(4, 3) < 0.5); x = stk_dataframe(u); v = double(x); assert (strcmp(class(v), 'double') && isequal(v, double(u))) ***** test u = uint8 (rand (4, 3) * 5); x = stk_dataframe(u); v = double(x); assert (strcmp(class(v), 'double') && isequal(v, double(u))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/reshape.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/reshape.m ***** test x = stk_dataframe (randn (10, 3)); y = reshape (x, 5, 6); assert (isa (y, 'stk_dataframe') && isequal (size (y), [5 6])) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/times.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/times.m ***** test stk_test_dfbinaryop(@times, rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop(@times, rand(7, 2), pi); ***** error stk_test_dfbinaryop(@times, rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mrdivide.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/mrdivide.m ***** test x1_data = [8 7; 58 49]; x1 = stk_dataframe (x1_data, {'x' 'y'}, {'a'; 'b'}); x2_data = [8 7; 2 0]; x2 = stk_dataframe (x2_data, {'x' 'y'}, {'u'; 'v'}); y = x1 / x2; assert (stk_isequal_tolabs (y, ... stk_dataframe ([1 0; 7 1], {'u'; 'v'}, {'a'; 'b'}))); ***** shared x_data, x, y_data, y x_data = [3 3; 6 3; 9 12]; y_data = [1 1; 2 1; 3 4]; x = stk_dataframe (x_data, {'x' 'y'}, {'a'; 'b'; 'c'}); ***** test y = x / 3; ***** assert (isequal (y, stk_dataframe ([1 1; 2 1; 3 4], {'x' 'y'}, {'a'; 'b'; 'c'}))); ***** error y = 3 / x; 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/log.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/log.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = log (x); assert (strcmp (class (v), class (u)) && isequal (v, log (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_rescale.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/stk_rescale.m ***** test u = rand(5, 1) * 2; x = stk_dataframe(u); y = stk_rescale(x, [0; 2], [0; 3]); assert (isa (y, 'stk_dataframe') && isequal(double(y), u * 3/2)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_normalize.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/stk_normalize.m ***** test u = rand (6, 2) * 2; x = stk_dataframe (u); y = stk_normalize (x); assert (isa (y, 'stk_dataframe') ... && stk_isequal_tolabs (double (y), stk_normalize (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/log10.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/log10.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = log10 (x); assert (strcmp (class (v), class (u)) && isequal (v, log10 (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/tand.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/tand.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = tand (x); assert (strcmp (class (v), class (u)) && isequal (v, tand (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/ctranspose.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/ctranspose.m ***** test u = rand(3, 2) + 1i * rand(3, 2); data = stk_dataframe(u, {'x' 'y'}, {'obs1'; 'obs2'; 'obs3'}); data = data'; assert (isa(data, 'stk_dataframe') && isequal(double(data), u')); assert (isequal(data.rownames, {'x'; 'y'})); assert (isequal(data.colnames, {'obs1' 'obs2' 'obs3'})); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/expm1.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/expm1.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = expm1 (x); assert (strcmp (class (v), class (u)) && isequal (v, expm1 (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/cosd.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/cosd.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = cosd (x); assert (strcmp (class (v), class (u)) && isequal (v, cosd (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/isfinite.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/isfinite.m ***** test u = [pi, NaN, Inf, -Inf]; x = stk_dataframe (u); v = isfinite (x); assert (islogical (v) && isequal (v, isfinite (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/ldivide.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/ldivide.m ***** test stk_test_dfbinaryop(@ldivide, 1 + rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop(@ldivide, 1 + rand(7, 2), pi); ***** error stk_test_dfbinaryop(@ldivide, 1 + rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/display.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/display.m ***** test display (stk_dataframe (rand (3, 2))); = <3x2 stk_dataframe array> : -------- -------- * : 0.938851 0.310638 * : 0.611575 0.868436 * : 0.385918 0.497301 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/transpose.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/transpose.m ***** test u = rand(3, 2) + 1i * rand(3, 2); data = stk_dataframe(u, {'x' 'y'}, {'obs1'; 'obs2'; 'obs3'}); data = data.'; assert (isa(data, 'stk_dataframe') && isequal(double(data), u.')); assert (isequal(data.rownames, {'x'; 'y'})); assert (isequal(data.colnames, {'obs1' 'obs2' 'obs3'})); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/median.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/median.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (median(df1), median(x1))) ***** assert (isequal (median(df1, 1), median(x1))) ***** assert (isequal (median(df1, 2), median(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/var.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/var.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (var(df1), var(x1))) ***** assert (isequal (var(df1, 0, 1), var(x1))) ***** assert (isequal (var(df1, 0, 2), var(x1, 0, 2))) ***** assert (isequal (var(df1, 1), var(x1, 1))) ***** assert (isequal (var(df1, 1, 1), var(x1, 1))) ***** assert (isequal (var(df1, 1, 2), var(x1, 1, 2))) 6 tests, 6 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/std.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/std.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (std(df1), std(x1))) ***** assert (isequal (std(df1, 0, 1), std(x1))) ***** assert (isequal (std(df1, 0, 2), std(x1, 0, 2))) ***** assert (isequal (std(df1, 1), std(x1, 1))) ***** assert (isequal (std(df1, 1, 1), std(x1, 1))) ***** assert (isequal (std(df1, 1, 2), std(x1, 1, 2))) 6 tests, 6 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/end.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/end.m ***** shared x x = stk_dataframe ([1; 2; 3]); ***** assert (isequal (double (x(2:end, :)), [2; 3])) ***** assert (isequal (double (x(2:end)), [2; 3])) ***** assert (isequal (double (x(2, 1:end)), 2)) ***** assert (isequal (double (x(end)), 3)) ***** shared x x = stk_dataframe ([1 2; 3 4; 5 6]); ***** assert (isequal (x(2:end, :), x(2:3, :))) ***** assert (isequal (x(2, 1:end), x(2, :))) ***** assert (isequal (x(2:end, 2:end), x(2:3, 2))) ***** error x(1:end, 1:end, 1:end) 8 tests, 8 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/asinh.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/asinh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = asinh (x); assert (strcmp (class (v), class (u)) && isequal (v, asinh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/quantile.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/quantile.m ***** shared x1, df1, p x1 = rand (9, 3); df1 = stk_dataframe (x1, {'a', 'b', 'c'}); p = 0.95; ***** assert (isequal (quantile (df1, p), quantile (x1, p))) ***** assert (isequal (quantile (df1, p, 1), quantile (x1, p))) ***** assert (isequal (quantile (df1, p, 2), quantile (x1, p, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/power.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/power.m ***** test stk_test_dfbinaryop(@power, rand(7, 2), .1 + rand(7, 2)); ***** test stk_test_dfbinaryop(@power, rand(7, 2), .1); ***** error stk_test_dfbinaryop(@power, rand(7, 2), .1 + rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/atan.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/atan.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = atan (x); assert (strcmp (class (v), class (u)) && isequal (v, atan (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_dataframe.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/stk_dataframe.m ***** test stk_test_class ('stk_dataframe') ***** test % default constructor x = stk_dataframe (); assert (isa (x, 'stk_dataframe') && isequal (size (x), [0 0])) ***** test y = stk_dataframe (rand (3, 2)); assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) ***** test y = stk_dataframe (rand (3, 2), {'x', 'y'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) ***** test y = stk_dataframe (rand (3, 2), {'x', 'y'}, {'a', 'b', 'c'}); assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'})) ***** test x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x); assert (isa (y, 'stk_dataframe') && isequal (size (y), [3 2])) ***** error x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x, pi); ***** error x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x, {}, pi); ***** test x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x, {'x' 'y'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) ***** test x = stk_dataframe (rand (3, 2)); y = stk_dataframe (x, {'x' 'y'}, {'a', 'b', 'c'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'})) ***** test x = stk_dataframe (rand (3, 2), {'x' 'y'}); y = stk_dataframe (x, [], {'a', 'b', 'c'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'})) ***** test x = stk_dataframe (rand (3, 2), {'x' 'y'}); y = stk_dataframe (x, {}, {'a', 'b', 'c'}); assert (isa (y, 'stk_dataframe') && isequal (size(y), [3 2])) assert (isequal (y.colnames, {})) assert (isequal (y.rownames, {'a'; 'b'; 'c'})) ***** test x = stk_factorialdesign ({1:3, 1:2}, {'x' 'y'}); y = stk_dataframe (x, [], {'a' 'b' 'c' 'd' 'e' 'f'}); assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) ***** test x = stk_factorialdesign ({1:3, 1:2}, {}, {'a' 'b' 'c' 'd' 'e' 'f'}); y = stk_dataframe (x, {'x' 'y'}); assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) ***** test x = stk_factorialdesign ({1:3, 1:2}, {}, {'a' 'b' 'c' 'd' 'e' 'f'}); y = stk_dataframe (x, {'x' 'y'}, []); assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) ***** test x = stk_factorialdesign ({1:3, 1:2}, {'x' 'y'}, {'a' 'b' 'c' 'd' 'e' 'f'}); y = stk_dataframe (x); assert (isa (y, 'stk_dataframe') && isequal (size (y), [6 2])) assert (isequal (y.colnames, {'x' 'y'})) assert (isequal (y.rownames, {'a'; 'b'; 'c'; 'd'; 'e'; 'f'})) ***** error x = stk_factorialdesign ({1:3, 1:2}); y = stk_dataframe (x, pi); ***** error x = stk_factorialdesign ({1:3, 1:2}); y = stk_dataframe (x, {}, pi); ***** test x = stk_dataframe ([], {'a', 'b'}); assert (isequal (size (x), [0 2])) assert (isequal (x.colnames, {'a' 'b'})); assert (isequal (x.rownames, {})); ***** test x = stk_dataframe ([], {'a', 'b'}, {'toto'}); assert (isequal (size (x), [1 2])) assert (isequal (x.colnames, {'a' 'b'})); assert (isequal (x.rownames, {'toto'})); ***** shared x ***** test x = stk_dataframe (randn (10, 1), 'NOx'); assert (isequal (x.colnames, {'NOx'})); ***** test y = stk_dataframe (x, 'toto'); assert (isequal (y.colnames, {'toto'})); ***** test x = stk_dataframe (randn (1, 2), {}, 'aaa'); assert (isequal (x.rownames, {'aaa'})); ***** test y = stk_dataframe (x, {}, 'tata'); assert (isequal (y.rownames, {'tata'})); 24 tests, 24 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/logical.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/logical.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = logical (x); assert (strcmp (class(v), 'logical') && isequal (v, logical (u))) ***** test u = (rand (4, 3) < 0.5); x = stk_dataframe (u); v = logical (x); assert (strcmp (class (v), 'logical') && isequal (v, u)) ***** test u = uint8 (rand (4, 3) * 5); x = stk_dataframe (u); v = logical (x); assert (strcmp (class (v), 'logical') && isequal (v, logical (u))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sinh.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/sinh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = sinh (x); assert (strcmp (class (v), class (u)) && isequal (v, sinh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/max.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/max.m ***** test stk_test_dfbinaryop ('max', rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop ('max', rand(7, 2), pi); ***** error stk_test_dfbinaryop ('max', rand(7, 2), rand(7, 3)); ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (max(df1), max(x1))) ***** assert (isequal (max(df1, [], 1), max(x1))) ***** assert (isequal (max(df1, [], 2), max(x1, [], 2))) ***** error (max(df1, df1, 2)) ***** test x = stk_dataframe ([1; 3; 2]); [M, k] = max (x); assert ((M == 3) && (k == 2)); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/tanh.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/tanh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = tanh (x); assert (strcmp (class (v), class (u)) && isequal (v, tanh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/bsxfun.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/bsxfun.m ***** shared x1, x2, data1, data2 x1 = rand (3, 2); data1 = stk_dataframe (x1); x2 = rand (3, 2); data2 = stk_dataframe (x2); ***** test z = bsxfun (@plus, data1, x2); assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) ***** test z = bsxfun (@plus, x1, data2); assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) ***** test z = bsxfun (@plus, data1, data2); assert (isa (z, 'stk_dataframe') && isequal (double (z), x1 + x2)) ***** shared x, y x = stk_dataframe (randn (2), {'x1', 'x2'}, {'a'; 'b'}); y = stk_dataframe (randn (2), {'y1', 'y2'}, {'c'; 'd'}); ***** test z = x + y; assert (isequal (z.colnames, x.colnames)); assert (isequal (z.rownames, x.rownames)); ***** test z = y + x; assert (isequal (z.colnames, y.colnames)); assert (isequal (z.rownames, y.rownames)); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/subsasgn.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/subsasgn.m ***** shared x, s, t, data x = stk_dataframe (rand (3, 2)); s = {'a'; 'b'; 'c'}; t = {'xx' 'yy'}; ***** test x.rownames = s; assert (isequal (get (x, 'rownames'), s)) ***** test x.colnames = t; assert (isequal (get (x, 'rownames'), s)) assert (isequal (get (x, 'colnames'), t)) ***** test x.rownames{2} = 'dudule'; assert (isequal (get (x, 'rownames'), {'a'; 'dudule'; 'c'})) assert (isequal (get (x, 'colnames'), t)) ***** test x.colnames{1} = 'martha'; assert (isequal (get (x, 'rownames'), {'a'; 'dudule'; 'c'})) assert (isequal (get (x, 'colnames'), {'martha' 'yy'})) ***** test data = stk_dataframe (zeros(3, 2), {'x1' 'x2'}); u = rand(3, 1); data.x2 = u; assert (isequal (double (data), [zeros(3, 1) u])) ***** test data = stk_dataframe (zeros (3, 2), {'x1' 'x2'}); data.x2(3) = 27; assert (isequal (double (data), [0 0; 0 0; 0 27])) ***** error data.toto = rand (3, 1); ***** shared x x = stk_dataframe (reshape (1:12, 4, 3), {'u' 'v' 'w'}); ***** test x(:, 2) = []; assert (isequal (size (x), [4 2])) assert (isequal (double (x), [1 9; 2 10; 3 11; 4 12])) assert (isequal (get (x, 'colnames'), {'u' 'w'})) assert (isempty (get (x, 'rownames'))) ***** test x(2, :) = []; assert (isequal (size (x), [3 2])) assert (isequal (double (x), [1 9; 3 11; 4 12])) assert (isempty (get (x, 'rownames'))) ***** test x.rownames = {'a'; 'b'; 'c'}; x(2, :) = []; assert (isequal (size (x), [2 2])) assert (isequal (double (x), [1 9; 4 12])) assert (isequal (x.rownames, {'a'; 'c'})) ***** test % change one value with matrix-style indexing x(1, 2) = 11; assert (isequal (size (x), [2 2])) assert (isequal (double (x), [1 11; 4 12])) ***** test % change one value with linear indexing x(3) = 13; assert (isequal (size (x), [2 2])) assert (isequal (double (x), [1 13; 4 12])) ***** assert (isequal (double (x(:, :)), [1 13; 4 12])); ***** test % assignment to a variable that doesn't exist A = stk_dataframe (7.1); clear B; B(2) = A; assert (strcmp (class (B), 'stk_dataframe')) assert (isequal (B.data, [0 7.1])); ***** test % repmat x = stk_dataframe (1); y = repmat (x, 2, 3); assert (isa (y, 'stk_dataframe')); assert (isequal (y.data, ones (2, 3))); ***** test x(:, :) = []; assert (isempty (x)); ***** test % Delete the only row of a one-row dataframe y1 = stk_dataframe ([1.2 3.33], {'mean', 'var'}); y1(1, :) = []; % Remove the only row of data assert (isequal (size (y1), [0 2])) assert (isequal (y1.colnames, {'mean', 'var'})) y11 = get (y1, 'mean'); assert (isempty (y11)); ***** error x{1} = 2; ***** error x(1, 2) = []; ***** error x(1, 2).a = 3; ***** shared x x = stk_dataframe((1:5)'); ***** test x(2) = 0; assert (isequal (double (x), [1; 0; 3; 4; 5])); ***** test x(3) = []; assert (isequal (double (x), [1; 0; 4; 5])); ***** test x(3, 1) = 0; assert (isequal(double(x), [1; 0; 0; 5])); ***** error x(3, 1, 1) = 297; ***** test % create a new row and a new column through subsasgn() x = stk_dataframe (rand (5, 2)); x(6, 3) = 7; assert(isequal(size(x), [6, 3])); ***** test x = stk_dataframe ([]); x.colnames{2} = 'v'; x.rownames{2} = 'b'; assert (isequal (x.rownames, {''; 'b'})); assert (isequal (x.colnames, {'' 'v'})); assert (isequal (size (x.data), [2 2]) && (all (isnan (x.data(:))))) ***** shared x x = stk_dataframe (reshape (1:12, 4, 3), {'u' 'v' 'w'}); ***** test % change one column using ':', plain numeric argument y = [0; 9; 0; 9]; z = x; z(:, 2) = y; assert (isequal (z(:, 1), x(:, 1))); assert (isequal (z(:, 2).data, y)); ***** test % change one column using ':', skt_dataframe argument y = stk_dataframe ([0; 9; 0; 9], {'y'}); z = x; z(:, 2) = y; assert (isequal (z(:, 1), x(:, 1))); assert (isequal (z(:, 2), y)); ***** shared x x = stk_dataframe (reshape (1:12, 4, 3), [], {'a'; 'b'; 'c'; 'd'}); ***** test % change one row using ':', plain numeric argument y = [7 7 7]; z = x; z(3, :) = y; assert (isequal (z(1, :), x(1, :))); assert (isequal (z(3, :).data, y)); ***** test % change one row using ':', skt_dataframe argument y = stk_dataframe ([7 7 7], [], {'y'}); z = x; z(3, :) = y; assert (isequal (z(1, :), x(1, :))); assert (isequal (z(3, :), y)); ***** shared x x = stk_dataframe (zeros (2), {'u' 'v'}); ***** test % first column x(1:2) = 1; y = stk_dataframe ([1 0; 1 0], {'u' 'v'}); assert (isequal (x, y)); ***** test % one more element x(1:3) = 2; y = stk_dataframe ([2 2; 2 0], {'u' 'v'}); assert (isequal (x, y)); ***** error % too many elements x(1:5) = 3; ***** shared x x = stk_dataframe (randn (3, 3)); ***** test x.colnames{2} = 'y'; ***** assert (isequal (x.colnames, {'' 'y' ''})); ***** test x.rownames{2} = 'b'; ***** assert (isequal (x.rownames, {''; 'b'; ''})); 37 tests, 37 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/cosh.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/cosh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = cosh (x); assert (strcmp (class (v), class (u)) && isequal (v, cosh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/disp.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/disp.m ***** shared x, fmt fmt = stk_disp_getformat (); x = stk_dataframe (rand (3, 2)); ***** test format rat; disp (x); : -------- -------- * : 0.298330 0.345444 * : 0.689909 0.430582 * : 0.433709 0.962186 ***** test format long; disp (x); : ---------------- ---------------- * : 0.29832984101474 0.34544418876870 * : 0.68990880795113 0.43058185550226 * : 0.43370922672594 0.96218597779838 ***** test format short; disp (x); format (fmt); : -------- -------- * : 0.298330 0.345444 * : 0.689909 0.430582 * : 0.433709 0.962186 ***** 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/mldivide.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/mldivide.m ***** test x1_data = [57 7; 2 0]; x1 = stk_dataframe (x1_data, {'x' 'y'}, {'a'; 'b'}); x2_data = [8 7; 2 0]; x2 = stk_dataframe (x2_data, {'w' 'z'}, {'a'; 'b'}); y = x2 \ x1; assert (stk_isequal_tolabs (y, ... stk_dataframe ([1 0; 7 1], {'x'; 'y'}, {'w'; 'z'}))); ***** shared x_data, x, y_data, y x_data = [3 3; 6 3; 9 12]; y_data = [1 1; 2 1; 3 4]; x = stk_dataframe (x_data, {'x' 'y'}, {'a'; 'b'; 'c'}); ***** test y = 3 \ x; ***** assert (isequal (y, stk_dataframe (y_data, {'x' 'y'}, {'a'; 'b'; 'c'}))); ***** error y = x \ 3; 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/apply.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/apply.m ***** shared x, t, u t = rand (3, 2); x = stk_dataframe (t); ***** test u = apply (x, 1, @sum); ***** assert (isequal (u, sum (t, 1))) ***** test u = apply (x, 2, @sum); ***** assert (isequal (u, sum (t, 2))) ***** error u = apply (x, 3, @sum); ***** test u = apply (x, 1, @min, []); ***** assert (isequal (u, min (t, [], 1))) ***** test u = apply (x, 2, @min, []); ***** assert (isequal (u, min (t, [], 2))) ***** error u = apply (x, 3, @min, []); ***** test t = [1; 3; 2]; x = stk_dataframe (t); [M, k] = apply (x, 1, @max, []); assert ((M == 3) && (k == 2)); 11 tests, 11 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/isnan.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/isnan.m ***** test u = [pi, NaN, Inf, -Inf]; x = stk_dataframe (u); v = isnan (x); assert (islogical (v) && isequal (v, isnan (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sort.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/sort.m ***** shared x, y x = stk_dataframe ([3; 2; 1], {}, {'a', 'b', 'c'}); y = sort (x); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.data, [1; 2; 3])) ***** assert (isequal (y.rownames, {'c'; 'b'; 'a'})) ***** error y = sort (x, []); ***** assert (isequal (sort (x, 1), y)) ***** assert (isequal (sort (x, 2), x)) ***** error sort (x, 3) ***** error y = sort (x, [], 'ascend'); ***** assert (isequal (sort (x, 1, 'ascend'), y)) ***** assert (isequal (sort (x, 2, 'ascend'), x)) ***** error y = sort (x, 3, 'ascend'); ***** error y = sort (x, [], 'descend'); ***** assert (isequal (sort (x, 1, 'descend'), x)) ***** assert (isequal (sort (x, 2, 'descend'), x)) ***** error sort (x, 3, 'descend') 15 tests, 15 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/acosd.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/acosd.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = acosd (x); assert (strcmp (class (v), class (u)) && isequal (v, acosd (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/fieldnames.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/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/acos.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/acos.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = acos (x); assert (strcmp (class (v), class (u)) && isequal (v, acos (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/horzcat.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/horzcat.m ***** shared u, v u = rand(3, 2); v = rand(3, 2); ***** test x = stk_dataframe(u, {'x1' 'x2'}); y = stk_dataframe(v, {'y1' 'y2'}); z = horzcat (x, y); assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); ***** test x = stk_dataframe(u, {'x1' 'x2'}, {'a'; 'b'; 'c'}); y = stk_dataframe(v, {'y1' 'y2'}); z = horzcat (x, y); assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); assert(all(strcmp(z.rownames, {'a'; 'b'; 'c'}))); ***** test x = stk_dataframe(u, {'x1' 'x2'}); y = stk_dataframe(v, {'y1' 'y2'}, {'a'; 'b'; 'c'}); z = horzcat (x, y); assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v])); assert(all(strcmp(z.colnames, {'x1' 'x2' 'y1' 'y2'}))); assert(all(strcmp(z.rownames, {'a'; 'b'; 'c'}))); ***** test % incompatible row names x = stk_dataframe (u, {'x1' 'x2'}, {'a'; 'b'; 'c'}); y = stk_dataframe (v, {'y1' 'y2'}, {'a'; 'b'; 'd'}); z = horzcat (x, y); assert (isequal (z.rownames, {})); warning: Incompatible row names ! The output of horzcat will have no row names. warning: called from horzcat at line 73 column 9 __test__ at line 5 column 4 test at line 677 column 11 /tmp/tmp.LZIeC2lnPQ at line 1574 column 31 ***** test x = stk_dataframe (u); z = horzcat (x, v); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u v])); ***** test y = stk_dataframe (v); z = horzcat (u, y); assert (isa (z, 'stk_dataframe') && isequal (double (z), [u v])); ***** test x = stk_dataframe(u, {'x1' 'x2'}); y = stk_dataframe(v, {'y1' 'y2'}); z = horzcat (x, y, u, v); assert(isa(z, 'stk_dataframe') && isequal(double(z), [u v u v])); 7 tests, 7 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_boundingbox.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/stk_boundingbox.m ***** shared x, y, cn cn = {'a', 'b', 'c'}; x = stk_dataframe ([0 3 2; 1 4 1; 7 0 2], cn); ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y, stk_hrect ([0 0 1; 7 4 2], cn))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/subsref.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/subsref.m ***** shared x, s, t, data x = stk_dataframe(rand(3, 2)); s = {'a'; 'b'; 'c'}; t = {'xx' 'yy'}; ***** test x = set(x, 'rownames', s); assert (isequal (x.rownames, s)) assert (isequal (x.rownames{2}, 'b')) ***** test x = set(x, 'colnames', t); assert (isequal (x.rownames, s)) assert (isequal (x.colnames, t)) assert (isequal (x.colnames{2}, 'yy')) ***** shared u, data u = rand(3, 2); data = stk_dataframe(u, {'x1', 'x2'}); ***** assert (isequal (data.x2, u(:, 2))) ***** assert (data.x2(3) == u(3, 2)) ***** error t = data.toto; ***** error t = data(1, 1).zzz; % illegal multilevel indexing ***** error t = data(1, 1, 1); % too many indices ***** error t = data{1}; % curly braces not allowed ***** test % select rows and columns x = stk_dataframe (reshape (1:15, 5, 3), {'u' 'v' 'w'}); assert (isequal (x([3 5], 2), stk_dataframe ([8; 10], {'v'}))); ***** shared u, data u = rand(3, 1); data = stk_dataframe(u, {'x'}); ***** assert (isequal (data.x, u)) ***** assert (isequal (double (data), u)) ***** assert (isequal (double (data(2)), u(2))) ***** assert (isequal (double (data(3, 1)), u(3))) ***** error t = data(1, 1, 1); % too many indices ***** test x = stk_dataframe (randn (2, 2), {'u' 'v'}); y = x ([], :); assert (isa (y, 'stk_dataframe')); assert (isequal (size (y), [0 2])); assert (isequal (y.colnames, {'u' 'v'})); ***** test x = stk_dataframe (randn (2, 2), [], {'a' 'b'}); y = x (:, []); assert (isa (y, 'stk_dataframe')); assert (isequal (size (y), [2 0])); assert (isequal (y.rownames, {'a'; 'b'})); 16 tests, 16 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/atand.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/atand.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = atand (x); assert (strcmp (class (v), class (u)) && isequal (v, atand (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/tan.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/tan.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = tan (x); assert (strcmp (class (v), class (u)) && isequal (v, tan (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/rdivide.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/rdivide.m ***** test stk_test_dfbinaryop(@rdivide, rand(7, 2), 1 + rand(7, 2)); ***** test stk_test_dfbinaryop(@rdivide, rand(7, 2), pi); ***** error stk_test_dfbinaryop(@rdivide, rand(7, 2), 1 + rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sqrt.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/sqrt.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = sqrt (x); assert (strcmp (class (v), class (u)) && isequal (v, sqrt (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/cat.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/cat.m ***** shared u, v, x, y u = rand(3, 2); v = rand(3, 2); x = stk_dataframe(u); y = stk_dataframe(v); ***** test % vertical z = cat(1, x, y); assert(isa(z, 'stk_dataframe')); assert(isequal(double(z), [u; v])); ***** error z = cat(3, x, y); ***** test % horizontal y = stk_dataframe(v, {'y1' 'y2'}); z = cat(2, x, y); assert(isa(z, 'stk_dataframe')); assert(isequal(double(z), [u v])); assert(all(strcmp(z.colnames, {'' '' 'y1' 'y2'}))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/prod.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/prod.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (prod(df1), prod(x1))) ***** assert (isequal (prod(df1, 1), prod(x1))) ***** assert (isequal (prod(df1, 2), prod(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/min.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/min.m ***** test stk_test_dfbinaryop ('min', rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop ('min', rand(7, 2), pi); ***** error stk_test_dfbinaryop ('min', rand(7, 2), rand(7, 3)); ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (min(df1), min(x1))) ***** assert (isequal (min(df1, [], 1), min(x1))) ***** assert (isequal (min(df1, [], 2), min(x1, [], 2))) ***** error (min(df1, df1, 2)) ***** test x = stk_dataframe ([5; 2; 4]); [M, k] = min (x); assert ((M == 2) && (k == 2)); 8 tests, 8 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/minus.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/minus.m ***** test stk_test_dfbinaryop(@minus, rand(7, 2), rand(7, 2)); ***** test stk_test_dfbinaryop(@minus, rand(7, 2), pi); ***** error stk_test_dfbinaryop(@minus, rand(7, 2), rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/ismember.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/ismember.m ***** shared u, x, u1, x1, u2, x2 u = rand (10, 4); x = stk_dataframe (u); x1 = x(1, :); u1 = double (x1); u2 = - ones (1, 4); x2 = stk_dataframe (u2); ***** assert (ismember (u1, x, 'rows')) ***** assert (ismember (x1, u, 'rows')) ***** assert (ismember (x1, x, 'rows')) ***** assert (~ ismember (u2, x, 'rows')) ***** assert (~ ismember (x2, u, 'rows')) ***** assert (~ ismember (x2, x, 'rows')) ***** test [b, idx] = ismember ([x2; x1; x1], x, 'rows'); assert (isequal (b, [false; true; true])); assert (isequal (idx, [0; 1; 1])) 7 tests, 7 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/plot.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/plot.m ***** test % plot with x as a vector and z as a (univariate) dataframe x = linspace(0, 2*pi, 30)'; z = stk_dataframe(sin(x)); figure; plot(x, z); close(gcf); ***** 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/isinf.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/isinf.m ***** test u = [pi, NaN, Inf, -Inf]; x = stk_dataframe (u); v = isinf (x); assert (islogical (v) && isequal (v, isinf (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/acosh.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/acosh.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = acosh (x); assert (strcmp (class (v), class (u)) && isequal (v, acosh (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/size.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/size.m ***** shared x x = stk_dataframe([1 2; 3 4; 5 6]); ***** assert (isequal (size(x), [3 2])) ***** assert (numel(x) == 1) ***** assert (ndims(x) == 2) ***** test size(x); % force exploration of branch nargout == 0 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_sprintf.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/stk_sprintf.m ***** shared x, fmt fmt = stk_disp_getformat (); x = stk_dataframe (rand (3, 2)); ***** test format rat; disp (x); : -------- -------- * : 0.451059 0.146887 * : 0.849024 0.831609 * : 0.934400 0.080429 ***** test format long; disp (x); : ---------------- ---------------- * : 0.45105901553555 0.14688671428536 * : 0.84902367048323 0.83160908688785 * : 0.93440049444968 0.08042948563537 ***** test format short; disp (x); format (fmt); : -------- -------- * : 0.451059 0.146887 * : 0.849024 0.831609 * : 0.934400 0.080429 ***** 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/mean.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/mean.m ***** shared x1, df1 x1 = rand(9, 3); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (mean(df1), mean(x1))) ***** assert (isequal (mean(df1, 1), mean(x1))) ***** assert (isequal (mean(df1, 2), mean(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/stk_length.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/stk_length.m ***** test x = stk_dataframe ([1 2; 3 4; 5 6]); assert (isequal (stk_length (x), 3)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/realpow.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/realpow.m ***** test stk_test_dfbinaryop(@realpow, rand(7, 2), .1 + rand(7, 2)); ***** test stk_test_dfbinaryop(@realpow, rand(7, 2), .1); ***** error stk_test_dfbinaryop(@realpow, rand(7, 2), .1 + rand(7, 3)); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/asind.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/asind.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = asind (x); assert (strcmp (class (v), class (u)) && isequal (v, asind (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/mode.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/mode.m ***** shared x1, df1 x1 = floor(3 * rand(9, 3)); df1 = stk_dataframe(x1, {'a', 'b', 'c'}); ***** assert (isequal (mode(df1), mode(x1))) ***** assert (isequal (mode(df1, 1), mode(x1))) ***** assert (isequal (mode(df1, 2), mode(x1, 2))) 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_dataframe/sin.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_dataframe/sin.m ***** test u = rand (4, 3); x = stk_dataframe (u); v = sin (x); assert (strcmp (class (v), class (u)) && isequal (v, sin (u))) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_rescale.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/generic/stk_rescale.m ***** shared x x = rand (10, 4); y = stk_rescale (x, [], []); assert (stk_isequal_tolabs (x, y)); ***** test y = stk_rescale(0.5, [], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 1], [0; 2]); assert (stk_isequal_tolabs (y, 1.0)); ***** test y = stk_rescale (0.5, [0; 2], []); assert (stk_isequal_tolabs (y, 0.25)); ***** test y = stk_rescale (0.5, [0; 2], [0; 1]); assert (stk_isequal_tolabs (y, 0.25)); 4 tests, 4 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_normalize.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/generic/stk_normalize.m ***** shared x, box, y1, y2, y3, y4 n = 5; box = [2; 3]; x = box(1) + diff (box) * rand (n, 1); ***** error y1 = stk_normalize (); ***** test y2 = stk_normalize (x); ***** test y3 = stk_normalize (x, box); ***** test assert (~ any ((y2 < -10 * eps) | (y2 > 1 + 10 * eps))); ***** test assert (~ any ((y3 < -10 * eps) | (y3 > 1 + 10 * eps))); 5 tests, 5 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_boundingbox.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/generic/stk_boundingbox.m ***** shared x, y, cn cn = {'a', 'b', 'c'}; x = [0 3 2; 1 4 1; 7 0 2]; ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y.data, [0 0 1; 7 4 2])); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_feval.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/generic/stk_feval.m ***** shared f, xt f = @(x)(- (0.7 * x + sin (5 * x + 1) + 0.1 * sin (10 * x))); xt = stk_sampling_regulargrid (20, 1, [0; 1]); ***** error yt = stk_feval (); ***** error yt = stk_feval (f); ***** test yt = stk_feval (f, xt); ***** test yt = stk_feval (f, xt, false); ***** test yt = stk_feval (f, xt, false, false); ***** test yt = stk_feval (f, xt, false, false, false); ***** test N = 15; xt = stk_sampling_regulargrid (N, 1, [0; 1]); yt = stk_feval (f, xt); assert (isequal (size (yt), [N 1])); ***** test x = stk_dataframe ([1; 2; 3], {'x'}, {'a'; 'b'; 'c'}); y = stk_feval (@(u)(2 * u), x); assert (isequal (y.data, [2; 4; 6])); assert (isequal (y.rownames, {'a'; 'b'; 'c'})); ***** shared t, z_ref, n n = 20; t = stk_sampling_regulargrid (n, 1, [0; 2*pi]); z_ref = [sin(t.data) cos(t.data)]; ***** test t.colnames = {'time'}; z = stk_feval ({@sin, @cos}, t); assert (isa (z, 'stk_dataframe')); assert (isequal (z.data, z_ref)); ***** test F = @(x)([sin(x) cos(x)]); z = stk_feval (F, t); assert (isequal (z.data, z_ref)); ***** test t = stk_sampling_regulargrid (n, 1, [0; 2*pi]); F = {'sin', 'cos'}; z = stk_feval (F, t); assert (isequal (z.data, [sin(t.data) cos(t.data)])); assert (isequal (z.colnames, {'sin' 'cos'})); ***** test % vectorized F = @(t)([sin(t) cos(t)]); G = @(t)(0.365 * t.^2 + (cos ((t - 1).*(t - 2) + 0.579033))); z = stk_feval ({@sin, @cos, G, F, 'tan'}, t); assert (isequal (z.colnames, {'sin' 'cos' 'F3' 'F4_1' 'F4_2' 'tan'})); ***** test % not vectorized F = @(t)([sin(t) cos(t)]); G = @(t)(0.365 * t^2 + (cos ((t - 1)*(t - 2) + 0.579033))); z = stk_feval ({@sin, @cos, G, F, 'tan'}, t, [], [], false); assert (isequal (z.colnames, {'sin' 'cos' 'F3' 'F4_1' 'F4_2' 'tan'})); 13 tests, 13 passed, 0 known failure, 0 skipped [inst/arrays/generic/stk_length.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/generic/stk_length.m ***** assert (isequal (stk_length ([1 2; 3 4; 5 6]), 3)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/uminus.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_factorialdesign/uminus.m ***** test x = stk_factorialdesign ({1:3, 1:2}); y = stk_factorialdesign ({-(1:3), -(1:2)}); assert (isequal (-x, y)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/ndgrid.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_factorialdesign/ndgrid.m ***** shared data data = stk_factorialdesign ({[0 1], [5 6 7]}); ***** test % nargout = 0 ndgrid (data); assert (isequal (ans, [0 0 0; 1 1 1])); ***** test % nargout = 1 x = ndgrid (data); assert (isequal (x, [0 0 0; 1 1 1])); ***** test % nargout = 2 [x, y] = ndgrid (data); assert (isequal ({x, y}, {[0 0 0; 1 1 1], [5 6 7; 5 6 7]})); ***** error % nargout = 3 [x, y, z] = ndgrid (data); ***** test data = stk_factorialdesign ({[], []}); [x, y] = ndgrid (data); assert (isequal ({x, y}, {[], []})); ***** test data = stk_factorialdesign ({[1:3]}); x = ndgrid (data); assert (isequal (x, [1; 2; 3])); 6 tests, 6 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_rescale.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_factorialdesign/stk_rescale.m ***** test x = stk_factorialdesign ({[1 2], [5 6]}); y = stk_factorialdesign ({[0 3], [0 3]}); z = stk_rescale (x, [1 5; 2 6], [0 0; 3 3]); assert (stk_isequal_tolabs (y, z)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_normalize.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_factorialdesign/stk_normalize.m ***** test x = stk_factorialdesign ({[1 2], [5 6]}); y = stk_factorialdesign ({[0 1], [0 1]}); assert (stk_isequal_tolabs (stk_normalize (x), y)) 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_factorialdesign.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_factorialdesign/stk_factorialdesign.m ***** test stk_test_class ('stk_factorialdesign') ***** test % constructor with two factors + column names x = stk_factorialdesign ({[0 1], [1 2 3]}, {'a', 'b'}); assert (isequal(x.colnames, {'a', 'b'})); assert (isequal(get (x, 'colnames'), {'a', 'b'})); ***** error stk_factorialdesign ('bouh'); ***** error stk_factorialdesign ({{'a' 'b'}}); ***** shared x, fmt fmt = stk_disp_getformat (); x = stk_sampling_regulargrid (3^2, 2); ***** test format rat; disp (x); : --- --- * : 0.0 0.0 * : 0.5 0.0 * : 1.0 0.0 * : 0.0 0.5 * : 0.5 0.5 * : 1.0 0.5 * : 0.0 1.0 * : 0.5 1.0 * : 1.0 1.0 ***** test format long; disp (x); : --- --- * : 0.0 0.0 * : 0.5 0.0 * : 1.0 0.0 * : 0.0 0.5 * : 0.5 0.5 * : 1.0 0.5 * : 0.0 1.0 * : 0.5 1.0 * : 1.0 1.0 ***** test format short; disp (x); format (fmt); : --- --- * : 0.0 0.0 * : 0.5 0.0 * : 1.0 0.0 * : 0.0 0.5 * : 0.5 0.5 * : 1.0 0.5 * : 0.0 1.0 * : 0.5 1.0 * : 1.0 1.0 ***** test disp (stk_sampling_regulargrid (0^1, 1)); Empty data frame with 0 rows and 0 columns ***** test disp (stk_sampling_regulargrid (0^2, 2)); Empty data frame with 0 rows and 0 columns ***** test display (x); x = <9x2 stk_factorialdesign array> : --- --- * : 0.0 0.0 * : 0.5 0.0 * : 1.0 0.0 * : 0.0 0.5 * : 0.5 0.5 * : 1.0 0.5 * : 0.0 1.0 * : 0.5 1.0 * : 1.0 1.0 ***** error length (stk_sampling_regulargrid (7^2, 2)) % not defined ***** shared x x = stk_factorialdesign ({[0 1], [0 1]}); ***** assert (isequal (x(2:end, :), x(2:4, :))) ***** assert (isequal (x(2, 1:end), x(2, :))) ***** assert (isequal (x(2:end, 2:end), x(2:4, 2))) ***** error x(1:end, 1:end, 1:end) ***** shared x, y x = stk_sampling_regulargrid (3^2, 2); y = x; ***** test %%%% vercat z = vertcat (x, y); assert (strcmp (class (z), 'stk_dataframe')); assert (isequal (double (z), [double(x); double(y)])); ***** test %%%% same thing, using cat(1, ...) z = cat (1, x, y); assert (strcmp (class (z), 'stk_dataframe')); assert (isequal (double (z), [double(x); double(y)])); ***** test %%%% horzcat y.colnames = {'y1' 'y2'}; z = horzcat (x, y); assert (strcmp (class (z), 'stk_dataframe')); assert (isequal (double (z), [double(x) double(y)])); ***** test %%%% same thing, using cat (2, ...) z = cat (2, x, y); assert (strcmp (class (z), 'stk_dataframe')); assert (isequal (double (z), [double(x) double(y)])); ***** error cat (3, x, y) ***** shared x, t x = stk_sampling_regulargrid (3^2, 2); t = double (x); ***** assert (isequal (apply (x, 1, @sum), sum (t, 1))) ***** assert (isequal (apply (x, 2, @sum), sum (t, 2))) ***** error u = apply (x, 3, @sum); ***** assert (isequal (apply (x, 1, @min, []), min (t, [], 1))) ***** assert (isequal (apply (x, 2, @min, []), min (t, [], 2))) ***** error u = apply (x, 3, @min, []); ***** assert (isequal (min (x), min (t))) ***** assert (isequal (max (x), max (t))) ***** assert (isequal (std (x), std (t))) ***** assert (isequal (var (x), var (t))) ***** assert (isequal (sum (x), sum (t))) ***** assert (isequal (mean (x), mean (t))) ***** assert (isequal (mode (x), mode (t))) ***** assert (isequal (prod (x), prod (t))) ***** assert (isequal (median (x), median (t))) ***** shared x1, x2, x3, u1, u2, u3 x1 = stk_sampling_regulargrid ([4 3], 2); u1 = double (x1); x2 = stk_sampling_regulargrid ([3 4], 2); u2 = double (x2); x3 = x1 + 1; u3 = u1 + 1; ***** test z = bsxfun (@plus, x1, u2); assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) ***** test z = bsxfun (@plus, u1, x2); assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) ***** test z = bsxfun (@plus, x1, x2); assert (isa (z, 'stk_dataframe') && isequal (double (z), u1 + u2)) ***** test z = min (x1, x2); assert (isequal (double (z), min (u1, u2))); ***** test z = max (x1, x2); assert (isequal (double (z), max (u1, u2))); ***** error z = min (x1, x2, 1); ***** error z = max (x1, x2, 1); ***** test z = x1 + x2; assert (isequal (double (z), u1 + u2)); ***** test z = x1 - x2; assert (isequal (double (z), u1 - u2)); ***** test z = x1 .* x2; assert (isequal (double (z), u1 .* u2)); ***** test z = x3 .\ x2; assert (isequal (double (z), u3 .\ u2)); ***** test z = x2 ./ x3; assert (isequal (double (z), u2 ./ u3)); ***** test z = x3 .^ x2; assert (isequal (double (z), u3 .^ u2)); ***** test z = realpow (x3, x2); assert (isequal (double (z), realpow (u3, u2))); ***** test z = (x1 == x2); assert (isequal (double (z), (u1 == u2))); ***** test z = (x1 ~= x2); assert (isequal (double (z), (u1 ~= u2))); ***** test z = (x1 <= x2); assert (isequal (double (z), (u1 <= u2))); ***** test z = (x1 >= x2); assert (isequal (double (z), (u1 >= u2))); ***** test z = (x1 < x2); assert (isequal (double (z), (u1 < u2))); ***** test z = (x1 > x2); assert (isequal (double (z), (u1 > u2))); ***** test z = x1 & x2; assert (isequal (double (z), u1 & u2)); ***** test z = x1 | x2; assert (isequal (double (z), u1 | u2)); ***** test z = xor (x1, x2); assert (isequal (double (z), xor (u1, u2))); ***** shared x x = stk_factorialdesign ({[0 1], [0 1 2]}); ***** assert (strcmp (class (x'), 'stk_dataframe')) ***** assert (strcmp (class (x.'), 'stk_dataframe')) 60 tests, 60 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_dataframe.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_factorialdesign/stk_dataframe.m ***** shared x, cn, rn, y, cn2, rn2 cn = {'x' 'y'}; rn = {'a'; 'b'; 'c'; 'd'}; x = stk_factorialdesign ({1:2, 1:2}, cn, rn); cn2 = {'xx' 'yy'}; rn2 = {'aa'; 'bb'; 'cc'; 'dd'}; ***** test y = stk_dataframe (x); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn)) ***** test y = stk_dataframe (x, cn2, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn2)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, [], rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, cn)) ***** assert (isequal (y.rownames, rn2)) ***** test y = stk_dataframe (x, {}, rn2); ***** assert (strcmp (class (y), 'stk_dataframe')) ***** assert (isequal (y.colnames, {})) ***** assert (isequal (y.rownames, rn2)) 20 tests, 20 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/fieldnames.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_factorialdesign/fieldnames.m ***** test x = stk_factorialdesign ({0:1, 3:5}, {'u' 'v'}); fn1 = sort (fieldnames (x)); fn2 = {'colnames', 'data', 'info', 'levels', ... 'rownames', 'stk_dataframe', 'u', 'v'}; assert (isequal (fn1, fn2)); 1 test, 1 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/stk_boundingbox.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_factorialdesign/stk_boundingbox.m ***** shared x, y, cn cn = {'a', 'b', 'c'}; x = stk_factorialdesign ({[1 2], [3 4 5], [0 2 8]}, cn); ***** error y = stk_boundingbox (); ***** test y = stk_boundingbox (x); ***** assert (isequal (y, stk_hrect ([1 3 0; 2 5 8], cn))); 3 tests, 3 passed, 0 known failure, 0 skipped [inst/arrays/@stk_factorialdesign/ismember.m] >>>>> /build/octave-stk-FWn3yI/octave-stk-2.6.1/inst/arrays/@stk_factorialdesign/ismember.m ***** shared A, B, BB, b i_max = 10; n = 100; d = 5; A = randi (i_max, n, d); levels = repmat ({1:i_max}, 1, d); levels{4} = 1:2:i_max; B = stk_factorialdesign (levels); BB = double (B); ***** test b = ismember (A, B); ***** assert (isequal (b, ismember (A, BB))); ***** test b = ismember (A, B, 'rows'); ***** assert (isequal (b, ismember (A, BB, 'rows'))); 4 tests, 4 passed, 0 known failure, 0 skipped 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 dpkg-deb: building package 'octave-stk-dbgsym' in '../octave-stk-dbgsym_2.6.1-5_amd64.deb'. dpkg-deb: building package 'octave-stk' in '../octave-stk_2.6.1-5_amd64.deb'. dpkg-genbuildinfo --build=any dpkg-genchanges --build=any >../octave-stk_2.6.1-5_amd64.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) I: running special hook: sync-out /build/octave-stk-FWn3yI /tmp/octave-stk-2.6.1-53cm787t1 I: cleaning package lists and apt cache... I: creating tarball... I: done I: removing tempdir /tmp/mmdebstrap.HoJ6vSstP1... I: success in 899.9067 seconds md5: octave-stk-dbgsym_2.6.1-5_amd64.deb: OK md5: octave-stk_2.6.1-5_amd64.deb: OK sha1: octave-stk-dbgsym_2.6.1-5_amd64.deb: OK sha1: octave-stk_2.6.1-5_amd64.deb: OK sha256: octave-stk-dbgsym_2.6.1-5_amd64.deb: OK sha256: octave-stk_2.6.1-5_amd64.deb: OK Checksums: OK