I: pbuilder: network access will be disabled during build I: Current time: Tue Apr 22 19:11:52 -12 2025 I: pbuilder-time-stamp: 1745392312 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/unstable-reproducible-base.tgz] I: copying local configuration W: --override-config is not set; not updating apt.conf Read the manpage for details. I: mounting /proc filesystem I: mounting /sys filesystem I: creating /{dev,run}/shm I: mounting /dev/pts filesystem I: redirecting /dev/ptmx to /dev/pts/ptmx I: policy-rc.d already exists I: Copying source file I: copying [pyusid_0.0.12-3.dsc] I: copying [./pyusid_0.0.12.orig.tar.gz] I: copying [./pyusid_0.0.12-3.debian.tar.xz] I: Extracting source dpkg-source: warning: cannot verify inline signature for ./pyusid_0.0.12-3.dsc: unsupported subcommand dpkg-source: info: extracting pyusid in pyusid-0.0.12 dpkg-source: info: unpacking pyusid_0.0.12.orig.tar.gz dpkg-source: info: unpacking pyusid_0.0.12-3.debian.tar.xz dpkg-source: info: using patch list from debian/patches/series dpkg-source: info: applying 0001-Remove-requirement-for-six-module.patch dpkg-source: info: applying 0002-Numpy-2-compatibility.patch I: Not using root during the build. I: Installing the build-deps I: user script /srv/workspace/pbuilder/16289/tmp/hooks/D02_print_environment starting I: set BUILDDIR='/build/reproducible-path' BUILDUSERGECOS='first user,first room,first work-phone,first home-phone,first other' BUILDUSERNAME='pbuilder1' BUILD_ARCH='armhf' DEBIAN_FRONTEND='noninteractive' DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all parallel=3 ' DISTRIBUTION='unstable' HOME='/root' HOST_ARCH='armhf' IFS=' ' INVOCATION_ID='64a3a03dea7841b1a9e177a470460044' LANG='C' LANGUAGE='en_US:en' LC_ALL='C' MAIL='/var/mail/root' OPTIND='1' PATH='/usr/sbin:/usr/bin:/sbin:/bin:/usr/games' PBCURRENTCOMMANDLINEOPERATION='build' PBUILDER_OPERATION='build' PBUILDER_PKGDATADIR='/usr/share/pbuilder' PBUILDER_PKGLIBDIR='/usr/lib/pbuilder' PBUILDER_SYSCONFDIR='/etc' PPID='16289' PS1='# ' PS2='> ' PS4='+ ' PWD='/' SHELL='/bin/bash' SHLVL='2' SUDO_COMMAND='/usr/bin/timeout -k 18.1h 18h /usr/bin/ionice -c 3 /usr/bin/nice /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/r-b-build.mezcFif4/pbuilderrc_vAqL --distribution unstable --hookdir /etc/pbuilder/first-build-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/unstable-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.mezcFif4/b1 --logfile b1/build.log pyusid_0.0.12-3.dsc' SUDO_GID='113' SUDO_UID='107' SUDO_USER='jenkins' TERM='unknown' TZ='/usr/share/zoneinfo/Etc/GMT+12' USER='root' _='/usr/bin/systemd-run' http_proxy='http://10.0.0.15:3142/' I: uname -a Linux wbq0 6.1.0-33-armmp #1 SMP Debian 6.1.133-1 (2025-04-10) armv7l GNU/Linux I: ls -l /bin lrwxrwxrwx 1 root root 7 Mar 4 11:20 /bin -> usr/bin I: user script /srv/workspace/pbuilder/16289/tmp/hooks/D02_print_environment finished -> Attempting to satisfy build-dependencies -> Creating pbuilder-satisfydepends-dummy package Package: pbuilder-satisfydepends-dummy Version: 0.invalid.0 Architecture: armhf Maintainer: Debian Pbuilder Team Description: Dummy package to satisfy dependencies with aptitude - created by pbuilder This package was created automatically by pbuilder to satisfy the build-dependencies of the package being currently built. Depends: debhelper-compat (= 13), dh-python, python3-all, python3-setuptools, pybuild-plugin-pyproject, python3-h5py, python3-numpy, python3-pil, python3-sidpy dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'. Selecting previously unselected package pbuilder-satisfydepends-dummy. (Reading database ... 19565 files and directories currently installed.) Preparing to unpack .../pbuilder-satisfydepends-dummy.deb ... Unpacking pbuilder-satisfydepends-dummy (0.invalid.0) ... dpkg: pbuilder-satisfydepends-dummy: dependency problems, but configuring anyway as you requested: pbuilder-satisfydepends-dummy depends on debhelper-compat (= 13); however: Package debhelper-compat is not installed. pbuilder-satisfydepends-dummy depends on dh-python; however: Package dh-python is not installed. pbuilder-satisfydepends-dummy depends on python3-all; however: Package python3-all is not installed. pbuilder-satisfydepends-dummy depends on python3-setuptools; however: Package python3-setuptools is not installed. pbuilder-satisfydepends-dummy depends on pybuild-plugin-pyproject; however: Package pybuild-plugin-pyproject is not installed. pbuilder-satisfydepends-dummy depends on python3-h5py; however: Package python3-h5py is not installed. pbuilder-satisfydepends-dummy depends on python3-numpy; however: Package python3-numpy is not installed. pbuilder-satisfydepends-dummy depends on python3-pil; however: Package python3-pil is not installed. pbuilder-satisfydepends-dummy depends on python3-sidpy; however: Package python3-sidpy is not installed. Setting up pbuilder-satisfydepends-dummy (0.invalid.0) ... Reading package lists... Building dependency tree... Reading state information... Initializing package states... Writing extended state information... Building tag database... pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) The following NEW packages will be installed: autoconf{a} automake{a} autopoint{a} autotools-dev{a} blt{a} bsdextrautils{a} ca-certificates{a} debhelper{a} dh-autoreconf{a} dh-python{a} dh-strip-nondeterminism{a} dwz{a} file{a} fontconfig-config{a} fonts-dejavu-core{a} fonts-dejavu-mono{a} fonts-font-awesome{a} fonts-glyphicons-halflings{a} fonts-lyx{a} gdb{a} gettext{a} gettext-base{a} groff-base{a} intltool-debian{a} libaec0{a} libarchive-zip-perl{a} libbabeltrace1{a} libblas3{a} libbrotli1{a} libcom-err2{a} libcurl3t64-gnutls{a} libcurl4t64{a} libdebhelper-perl{a} libdebuginfod-common{a} libdebuginfod1t64{a} libdeflate0{a} libdw1t64{a} libelf1t64{a} libexpat1{a} libffi8{a} libfile-stripnondeterminism-perl{a} libfontconfig1{a} libfreetype6{a} libfribidi0{a} libgcrypt20{a} libgfortran5{a} libglib2.0-0t64{a} libgnutls30t64{a} libgpg-error0{a} libgraphite2-3{a} libgssapi-krb5-2{a} libharfbuzz0b{a} libhdf5-310{a} libhdf5-hl-310{a} libidn2-0{a} libimagequant0{a} libjbig0{a} libjpeg62-turbo{a} libjs-bootstrap{a} libjs-jquery{a} libjs-jquery-ui{a} libjson-c5{a} libk5crypto3{a} libkeyutils1{a} libkrb5-3{a} libkrb5support0{a} liblapack3{a} liblcms2-2{a} libldap2{a} liblerc4{a} liblzf1{a} libmagic-mgc{a} libmagic1t64{a} libnghttp2-14{a} libnghttp3-9{a} libngtcp2-16{a} libngtcp2-crypto-gnutls8{a} libnorm1t64{a} libopenjp2-7{a} libp11-kit0{a} libpgm-5.3-0t64{a} libpipeline1{a} libpng16-16t64{a} libproc2-0{a} libpsl5t64{a} libpython3-stdlib{a} libpython3.13{a} libpython3.13-minimal{a} libpython3.13-stdlib{a} libqhull-r8.0{a} libraqm0{a} libreadline8t64{a} librtmp1{a} libsasl2-2{a} libsasl2-modules-db{a} libsharpyuv0{a} libsodium23{a} libsource-highlight-common{a} libsource-highlight4t64{a} libssh2-1t64{a} libsymspg2{a} libsz2{a} libtasn1-6{a} libtcl8.6{a} libtext-charwidth-perl{a} libtext-wrapi18n-perl{a} libtiff6{a} libtk8.6{a} libtool{a} libuchardet0{a} libunistring5{a} libwebp7{a} libwebpdemux2{a} libwebpmux3{a} libx11-6{a} libx11-data{a} libxau6{a} libxcb1{a} libxdmcp6{a} libxext6{a} libxft2{a} libxml2{a} libxrender1{a} libxslt1.1{a} libxss1{a} libyaml-0-2{a} libzmq5{a} libzopfli1{a} m4{a} man-db{a} media-types{a} netbase{a} openssl{a} po-debconf{a} procps{a} pybuild-plugin-pyproject{a} python-matplotlib-data{a} python3{a} python3-all{a} python3-ase{a} python3-asttokens{a} python3-attr{a} python3-autocommand{a} python3-brotli{a} python3-build{a} python3-cffi-backend{a} python3-click{a} python3-cloudpickle{a} python3-comm{a} python3-contourpy{a} python3-coverage{a} python3-cycler{a} python3-cytoolz{a} python3-dask{a} python3-dateutil{a} python3-debugpy{a} python3-decorator{a} python3-distributed{a} python3-executing{a} python3-fonttools{a} python3-fs{a} python3-fsspec{a} python3-h5py{a} python3-h5py-serial{a} python3-inflect{a} python3-installer{a} python3-ipykernel{a} python3-ipython{a} python3-ipywidgets{a} python3-jaraco.context{a} python3-jaraco.functools{a} python3-jaraco.text{a} python3-jedi{a} python3-jinja2{a} python3-joblib{a} python3-jupyter-client{a} python3-jupyter-core{a} python3-jupyterlab-widgets{a} python3-kiwisolver{a} python3-locket{a} python3-lxml{a} python3-lz4{a} python3-markupsafe{a} python3-matplotlib{a} python3-matplotlib-inline{a} python3-minimal{a} python3-more-itertools{a} python3-mpmath{a} python3-msgpack{a} python3-nest-asyncio{a} python3-numpy{a} python3-numpy-dev{a} python3-packaging{a} python3-parso{a} python3-partd{a} python3-pexpect{a} python3-pil{a} python3-pil.imagetk{a} python3-pkg-resources{a} python3-platformdirs{a} python3-prompt-toolkit{a} python3-psutil{a} python3-ptyprocess{a} python3-pure-eval{a} python3-pygments{a} python3-pyparsing{a} python3-pyproject-hooks{a} python3-scipy{a} python3-setuptools{a} python3-sidpy{a} python3-sklearn{a} python3-sklearn-lib{a} python3-sortedcontainers{a} python3-spglib{a} python3-stack-data{a} python3-sympy{a} python3-tblib{a} python3-threadpoolctl{a} python3-tk{a} python3-toml{a} python3-toolz{a} python3-tornado{a} python3-traitlets{a} python3-typeguard{a} python3-typeshed{a} python3-typing-extensions{a} python3-ufolib2{a} python3-urllib3{a} python3-wcwidth{a} python3-wheel{a} python3-widgetsnbextension{a} python3-yaml{a} python3-zict{a} python3-zipp{a} python3-zmq{a} python3-zopfli{a} python3.13{a} python3.13-minimal{a} python3.13-tk{a} readline-common{a} sensible-utils{a} tk8.6-blt2.5{a} tzdata{a} ucf{a} unicode-data{a} x11-common{a} The following packages are RECOMMENDED but will NOT be installed: curl git isympy-common javascript-common krb5-locales libarchive-cpio-perl libglib2.0-data libgpg-error-l10n libldap-common libltdl-dev libmail-sendmail-perl libsasl2-modules linux-sysctl-defaults lynx psmisc publicsuffix python3-babel python3-blosc python3-bs4 python3-cssselect python3-dropbox python3-html5lib python3-libarchive-c python3-olefile python3-pandas python3-paramiko python3-pooch python3-pygit2 python3-pytest python3-requests shared-mime-info wget xdg-user-dirs 0 packages upgraded, 246 newly installed, 0 to remove and 0 not upgraded. Need to get 130 MB of archives. After unpacking 508 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian unstable/main armhf libtext-charwidth-perl armhf 0.04-11+b4 [9128 B] Get: 2 http://deb.debian.org/debian unstable/main armhf libtext-wrapi18n-perl all 0.06-10 [8808 B] Get: 3 http://deb.debian.org/debian unstable/main armhf libproc2-0 armhf 2:4.0.4-8 [56.8 kB] Get: 4 http://deb.debian.org/debian unstable/main armhf procps armhf 2:4.0.4-8 [867 kB] Get: 5 http://deb.debian.org/debian unstable/main armhf sensible-utils all 0.0.25 [25.0 kB] Get: 6 http://deb.debian.org/debian unstable/main armhf ucf all 3.0051 [42.8 kB] Get: 7 http://deb.debian.org/debian unstable/main armhf libdebuginfod-common all 0.192-4 [23.7 kB] Get: 8 http://deb.debian.org/debian unstable/main armhf libpython3.13-minimal armhf 3.13.3-2 [847 kB] Get: 9 http://deb.debian.org/debian unstable/main armhf libexpat1 armhf 2.7.1-1 [85.6 kB] Get: 10 http://deb.debian.org/debian unstable/main armhf python3.13-minimal armhf 3.13.3-2 [1844 kB] Get: 11 http://deb.debian.org/debian unstable/main armhf python3-minimal armhf 3.13.3-1 [27.2 kB] Get: 12 http://deb.debian.org/debian unstable/main armhf media-types all 13.0.0 [29.3 kB] Get: 13 http://deb.debian.org/debian unstable/main armhf netbase all 6.5 [12.4 kB] Get: 14 http://deb.debian.org/debian unstable/main armhf tzdata all 2025b-2 [260 kB] Get: 15 http://deb.debian.org/debian unstable/main armhf libffi8 armhf 3.4.7-1 [20.3 kB] Get: 16 http://deb.debian.org/debian unstable/main armhf readline-common all 8.2-6 [69.4 kB] Get: 17 http://deb.debian.org/debian unstable/main armhf libreadline8t64 armhf 8.2-6 [146 kB] Get: 18 http://deb.debian.org/debian unstable/main armhf libpython3.13-stdlib armhf 3.13.3-2 [1828 kB] Get: 19 http://deb.debian.org/debian unstable/main armhf python3.13 armhf 3.13.3-2 [751 kB] Get: 20 http://deb.debian.org/debian unstable/main armhf libpython3-stdlib armhf 3.13.3-1 [10.2 kB] Get: 21 http://deb.debian.org/debian unstable/main armhf python3 armhf 3.13.3-1 [28.2 kB] Get: 22 http://deb.debian.org/debian unstable/main armhf python3-numpy-dev armhf 1:2.2.4+ds-1 [133 kB] Get: 23 http://deb.debian.org/debian unstable/main armhf libblas3 armhf 3.12.1-2 [116 kB] Get: 24 http://deb.debian.org/debian unstable/main armhf libgfortran5 armhf 14.2.0-19 [263 kB] Get: 25 http://deb.debian.org/debian unstable/main armhf liblapack3 armhf 3.12.1-2 [1835 kB] Get: 26 http://deb.debian.org/debian unstable/main armhf python3-numpy armhf 1:2.2.4+ds-1 [3486 kB] Get: 27 http://deb.debian.org/debian unstable/main armhf openssl armhf 3.5.0-1 [1456 kB] Get: 28 http://deb.debian.org/debian unstable/main armhf ca-certificates all 20250419 [162 kB] Get: 29 http://deb.debian.org/debian unstable/main armhf libmagic-mgc armhf 1:5.46-5 [338 kB] Get: 30 http://deb.debian.org/debian unstable/main armhf libmagic1t64 armhf 1:5.46-5 [100 kB] Get: 31 http://deb.debian.org/debian unstable/main armhf file armhf 1:5.46-5 [42.8 kB] Get: 32 http://deb.debian.org/debian unstable/main armhf gettext-base armhf 0.23.1-1 [238 kB] Get: 33 http://deb.debian.org/debian unstable/main armhf libuchardet0 armhf 0.0.8-1+b2 [65.6 kB] Get: 34 http://deb.debian.org/debian unstable/main armhf groff-base armhf 1.23.0-7 [1095 kB] Get: 35 http://deb.debian.org/debian unstable/main armhf bsdextrautils armhf 2.41-4 [86.5 kB] Get: 36 http://deb.debian.org/debian unstable/main armhf libpipeline1 armhf 1.5.8-1 [35.0 kB] Get: 37 http://deb.debian.org/debian unstable/main armhf man-db armhf 2.13.0-1 [1382 kB] Get: 38 http://deb.debian.org/debian unstable/main armhf m4 armhf 1.4.19-8 [272 kB] Get: 39 http://deb.debian.org/debian unstable/main armhf autoconf all 2.72-3.1 [494 kB] Get: 40 http://deb.debian.org/debian unstable/main armhf autotools-dev all 20240727.1 [60.2 kB] Get: 41 http://deb.debian.org/debian unstable/main armhf automake all 1:1.17-4 [862 kB] Get: 42 http://deb.debian.org/debian unstable/main armhf autopoint all 0.23.1-1 [770 kB] Get: 43 http://deb.debian.org/debian unstable/main armhf libtcl8.6 armhf 8.6.16+dfsg-1 [934 kB] Get: 44 http://deb.debian.org/debian unstable/main armhf libbrotli1 armhf 1.1.0-2+b7 [284 kB] Get: 45 http://deb.debian.org/debian unstable/main armhf libpng16-16t64 armhf 1.6.47-1.1 [264 kB] Get: 46 http://deb.debian.org/debian unstable/main armhf libfreetype6 armhf 2.13.3+dfsg-1 [385 kB] Get: 47 http://deb.debian.org/debian unstable/main armhf fonts-dejavu-mono all 2.37-8 [489 kB] Get: 48 http://deb.debian.org/debian unstable/main armhf fonts-dejavu-core all 2.37-8 [840 kB] Get: 49 http://deb.debian.org/debian unstable/main armhf fontconfig-config armhf 2.15.0-2.3 [318 kB] Get: 50 http://deb.debian.org/debian unstable/main armhf libfontconfig1 armhf 2.15.0-2.3 [371 kB] Get: 51 http://deb.debian.org/debian unstable/main armhf libxau6 armhf 1:1.0.11-1 [19.7 kB] Get: 52 http://deb.debian.org/debian unstable/main armhf libxdmcp6 armhf 1:1.1.5-1 [26.4 kB] Get: 53 http://deb.debian.org/debian unstable/main armhf libxcb1 armhf 1.17.0-2+b1 [140 kB] Get: 54 http://deb.debian.org/debian unstable/main armhf libx11-data all 2:1.8.12-1 [343 kB] Get: 55 http://deb.debian.org/debian unstable/main armhf libx11-6 armhf 2:1.8.12-1 [756 kB] Get: 56 http://deb.debian.org/debian unstable/main armhf libxrender1 armhf 1:0.9.12-1 [25.0 kB] Get: 57 http://deb.debian.org/debian unstable/main armhf libxft2 armhf 2.3.6-1+b4 [46.4 kB] Get: 58 http://deb.debian.org/debian unstable/main armhf libxext6 armhf 2:1.3.4-1+b3 [45.2 kB] Get: 59 http://deb.debian.org/debian unstable/main armhf x11-common all 1:7.7+24 [217 kB] Get: 60 http://deb.debian.org/debian unstable/main armhf libxss1 armhf 1:1.2.3-1+b3 [16.4 kB] Get: 61 http://deb.debian.org/debian unstable/main armhf libtk8.6 armhf 8.6.16-1 [698 kB] Get: 62 http://deb.debian.org/debian unstable/main armhf tk8.6-blt2.5 armhf 2.5.3+dfsg-8 [483 kB] Get: 63 http://deb.debian.org/debian unstable/main armhf blt armhf 2.5.3+dfsg-8 [5984 B] Get: 64 http://deb.debian.org/debian unstable/main armhf libdebhelper-perl all 13.24.2 [90.9 kB] Get: 65 http://deb.debian.org/debian unstable/main armhf libtool all 2.5.4-4 [539 kB] Get: 66 http://deb.debian.org/debian unstable/main armhf dh-autoreconf all 20 [17.1 kB] Get: 67 http://deb.debian.org/debian unstable/main armhf libarchive-zip-perl all 1.68-1 [104 kB] Get: 68 http://deb.debian.org/debian unstable/main armhf libfile-stripnondeterminism-perl all 1.14.1-2 [19.7 kB] Get: 69 http://deb.debian.org/debian unstable/main armhf dh-strip-nondeterminism all 1.14.1-2 [8620 B] Get: 70 http://deb.debian.org/debian unstable/main armhf libelf1t64 armhf 0.192-4 [184 kB] Get: 71 http://deb.debian.org/debian unstable/main armhf dwz armhf 0.15-1+b2 [106 kB] Get: 72 http://deb.debian.org/debian unstable/main armhf libunistring5 armhf 1.3-2 [441 kB] Get: 73 http://deb.debian.org/debian unstable/main armhf libxml2 armhf 2.12.7+dfsg+really2.9.14-0.4 [604 kB] Get: 74 http://deb.debian.org/debian unstable/main armhf gettext armhf 0.23.1-1 [1560 kB] Get: 75 http://deb.debian.org/debian unstable/main armhf intltool-debian all 0.35.0+20060710.6 [22.9 kB] Get: 76 http://deb.debian.org/debian unstable/main armhf po-debconf all 1.0.21+nmu1 [248 kB] Get: 77 http://deb.debian.org/debian unstable/main armhf debhelper all 13.24.2 [919 kB] Get: 78 http://deb.debian.org/debian unstable/main armhf dh-python all 6.20250414 [116 kB] Get: 79 http://deb.debian.org/debian unstable/main armhf fonts-font-awesome all 5.0.10+really4.7.0~dfsg-4.1 [517 kB] Get: 80 http://deb.debian.org/debian unstable/main armhf fonts-glyphicons-halflings all 1.009~3.4.1+dfsg-4 [163 kB] Get: 81 http://deb.debian.org/debian unstable/main armhf fonts-lyx all 2.4.3-1 [190 kB] Get: 82 http://deb.debian.org/debian unstable/main armhf libdw1t64 armhf 0.192-4 [232 kB] Get: 83 http://deb.debian.org/debian unstable/main armhf libglib2.0-0t64 armhf 2.84.1-1 [1340 kB] Get: 84 http://deb.debian.org/debian unstable/main armhf libbabeltrace1 armhf 1.5.11-4+b2 [156 kB] Get: 85 http://deb.debian.org/debian unstable/main armhf libidn2-0 armhf 2.3.8-2 [105 kB] Get: 86 http://deb.debian.org/debian unstable/main armhf libp11-kit0 armhf 0.25.5-3 [385 kB] Get: 87 http://deb.debian.org/debian unstable/main armhf libtasn1-6 armhf 4.20.0-2 [44.4 kB] Get: 88 http://deb.debian.org/debian unstable/main armhf libgnutls30t64 armhf 3.8.9-2 [1382 kB] Get: 89 http://deb.debian.org/debian unstable/main armhf libkrb5support0 armhf 1.21.3-5 [30.4 kB] Get: 90 http://deb.debian.org/debian unstable/main armhf libcom-err2 armhf 1.47.2-1+b1 [23.6 kB] Get: 91 http://deb.debian.org/debian unstable/main armhf libk5crypto3 armhf 1.21.3-5 [76.0 kB] Get: 92 http://deb.debian.org/debian unstable/main armhf libkeyutils1 armhf 1.6.3-6 [8568 B] Get: 93 http://deb.debian.org/debian unstable/main armhf libkrb5-3 armhf 1.21.3-5 [284 kB] Get: 94 http://deb.debian.org/debian unstable/main armhf libgssapi-krb5-2 armhf 1.21.3-5 [116 kB] Get: 95 http://deb.debian.org/debian unstable/main armhf libsasl2-modules-db armhf 2.1.28+dfsg1-9 [18.5 kB] Get: 96 http://deb.debian.org/debian unstable/main armhf libsasl2-2 armhf 2.1.28+dfsg1-9 [50.4 kB] Get: 97 http://deb.debian.org/debian unstable/main armhf libldap2 armhf 2.6.9+dfsg-2 [168 kB] Get: 98 http://deb.debian.org/debian unstable/main armhf libnghttp2-14 armhf 1.64.0-1.1 [63.0 kB] Get: 99 http://deb.debian.org/debian unstable/main armhf libnghttp3-9 armhf 1.8.0-1 [59.9 kB] Get: 100 http://deb.debian.org/debian unstable/main armhf libngtcp2-16 armhf 1.11.0-1 [127 kB] Get: 101 http://deb.debian.org/debian unstable/main armhf libngtcp2-crypto-gnutls8 armhf 1.11.0-1 [26.7 kB] Get: 102 http://deb.debian.org/debian unstable/main armhf libpsl5t64 armhf 0.21.2-1.1+b1 [55.8 kB] Get: 103 http://deb.debian.org/debian unstable/main armhf librtmp1 armhf 2.4+20151223.gitfa8646d.1-2+b5 [53.2 kB] Get: 104 http://deb.debian.org/debian unstable/main armhf libssh2-1t64 armhf 1.11.1-1 [227 kB] Get: 105 http://deb.debian.org/debian unstable/main armhf libcurl3t64-gnutls armhf 8.13.0-3 [324 kB] Get: 106 http://deb.debian.org/debian unstable/main armhf libjson-c5 armhf 0.18+ds-1 [42.3 kB] Get: 107 http://deb.debian.org/debian unstable/main armhf libdebuginfod1t64 armhf 0.192-4 [30.7 kB] Get: 108 http://deb.debian.org/debian unstable/main armhf libpython3.13 armhf 3.13.3-2 [1875 kB] Get: 109 http://deb.debian.org/debian unstable/main armhf libsource-highlight-common all 3.1.9-4.3 [77.5 kB] Get: 110 http://deb.debian.org/debian unstable/main armhf libsource-highlight4t64 armhf 3.1.9-4.3+b1 [292 kB] Get: 111 http://deb.debian.org/debian unstable/main armhf gdb armhf 16.3-1 [3475 kB] Get: 112 http://deb.debian.org/debian unstable/main armhf libaec0 armhf 1.1.3-1+b1 [21.9 kB] Get: 113 http://deb.debian.org/debian unstable/main armhf libcurl4t64 armhf 8.13.0-3 [330 kB] Get: 114 http://deb.debian.org/debian unstable/main armhf libdeflate0 armhf 1.23-2 [36.5 kB] Get: 115 http://deb.debian.org/debian unstable/main armhf libfribidi0 armhf 1.0.16-1 [24.6 kB] Get: 116 http://deb.debian.org/debian unstable/main armhf libgpg-error0 armhf 1.51-4 [71.4 kB] Get: 117 http://deb.debian.org/debian unstable/main armhf libgcrypt20 armhf 1.11.0-7 [727 kB] Get: 118 http://deb.debian.org/debian unstable/main armhf libgraphite2-3 armhf 1.3.14-2+b1 [63.1 kB] Get: 119 http://deb.debian.org/debian unstable/main armhf libharfbuzz0b armhf 10.2.0-1+b1 [419 kB] Get: 120 http://deb.debian.org/debian unstable/main armhf libsz2 armhf 1.1.3-1+b1 [8036 B] Get: 121 http://deb.debian.org/debian unstable/main armhf libhdf5-310 armhf 1.14.5+repack-3 [1272 kB] Get: 122 http://deb.debian.org/debian unstable/main armhf libhdf5-hl-310 armhf 1.14.5+repack-3 [67.3 kB] Get: 123 http://deb.debian.org/debian unstable/main armhf libimagequant0 armhf 2.18.0-1+b2 [30.5 kB] Get: 124 http://deb.debian.org/debian unstable/main armhf libjbig0 armhf 2.1-6.1+b2 [27.3 kB] Get: 125 http://deb.debian.org/debian unstable/main armhf libjpeg62-turbo armhf 1:2.1.5-3.1 [145 kB] Get: 126 http://deb.debian.org/debian unstable/main armhf libjs-bootstrap all 3.4.1+dfsg-4 [172 kB] Get: 127 http://deb.debian.org/debian unstable/main armhf libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [326 kB] Get: 128 http://deb.debian.org/debian unstable/main armhf libjs-jquery-ui all 1.13.2+dfsg-1 [250 kB] Get: 129 http://deb.debian.org/debian unstable/main armhf liblcms2-2 armhf 2.16-2 [131 kB] Get: 130 http://deb.debian.org/debian unstable/main armhf liblerc4 armhf 4.0.0+ds-5 [146 kB] Get: 131 http://deb.debian.org/debian unstable/main armhf liblzf1 armhf 3.6-4+b3 [9380 B] Get: 132 http://deb.debian.org/debian unstable/main armhf libnorm1t64 armhf 1.5.9+dfsg-3.1+b2 [187 kB] Get: 133 http://deb.debian.org/debian unstable/main armhf libopenjp2-7 armhf 2.5.3-2 [184 kB] Get: 134 http://deb.debian.org/debian unstable/main armhf libpgm-5.3-0t64 armhf 5.3.128~dfsg-2.1+b1 [156 kB] Get: 135 http://deb.debian.org/debian unstable/main armhf libqhull-r8.0 armhf 2020.2-6+b2 [220 kB] Get: 136 http://deb.debian.org/debian unstable/main armhf libraqm0 armhf 0.10.2-1 [11.6 kB] Get: 137 http://deb.debian.org/debian unstable/main armhf libsharpyuv0 armhf 1.5.0-0.1 [114 kB] Get: 138 http://deb.debian.org/debian unstable/main armhf libsodium23 armhf 1.0.18-1+b2 [139 kB] Get: 139 http://deb.debian.org/debian unstable/main armhf libsymspg2 armhf 2.6.0-3 [182 kB] Get: 140 http://deb.debian.org/debian unstable/main armhf libwebp7 armhf 1.5.0-0.1 [273 kB] Get: 141 http://deb.debian.org/debian unstable/main armhf libtiff6 armhf 4.7.0-3 [321 kB] Get: 142 http://deb.debian.org/debian unstable/main armhf libwebpdemux2 armhf 1.5.0-0.1 [112 kB] Get: 143 http://deb.debian.org/debian unstable/main armhf libwebpmux3 armhf 1.5.0-0.1 [123 kB] Get: 144 http://deb.debian.org/debian unstable/main armhf libxslt1.1 armhf 1.1.35-1.2 [212 kB] Get: 145 http://deb.debian.org/debian unstable/main armhf libyaml-0-2 armhf 0.2.5-2 [45.4 kB] Get: 146 http://deb.debian.org/debian unstable/main armhf libzmq5 armhf 4.3.5-1+b3 [239 kB] Get: 147 http://deb.debian.org/debian unstable/main armhf libzopfli1 armhf 1.0.3-3 [85.4 kB] Get: 148 http://deb.debian.org/debian unstable/main armhf python3-packaging all 24.2-3 [55.7 kB] Get: 149 http://deb.debian.org/debian unstable/main armhf python3-pyproject-hooks all 1.2.0-1 [11.7 kB] Get: 150 http://deb.debian.org/debian unstable/main armhf python3-toml all 0.10.2-1 [16.2 kB] Get: 151 http://deb.debian.org/debian unstable/main armhf python3-wheel all 0.46.1-2 [21.7 kB] Get: 152 http://deb.debian.org/debian unstable/main armhf python3-build all 1.2.2-1 [36.0 kB] Get: 153 http://deb.debian.org/debian unstable/main armhf python3-installer all 0.7.0+dfsg1-3 [18.6 kB] Get: 154 http://deb.debian.org/debian unstable/main armhf pybuild-plugin-pyproject all 6.20250414 [11.8 kB] Get: 155 http://deb.debian.org/debian unstable/main armhf python-matplotlib-data all 3.10.1+dfsg1-3 [2736 kB] Get: 156 http://deb.debian.org/debian unstable/main armhf python3-all armhf 3.13.3-1 [1048 B] Get: 157 http://deb.debian.org/debian unstable/main armhf python3-decorator all 5.2.1-2 [33.0 kB] Get: 158 http://deb.debian.org/debian unstable/main armhf python3-scipy armhf 1.15.2-8 [14.9 MB] Get: 159 http://deb.debian.org/debian unstable/main armhf python3-typing-extensions all 4.13.2-1 [90.5 kB] Get: 160 http://deb.debian.org/debian unstable/main armhf python3-spglib armhf 2.6.0-3 [52.2 kB] Get: 161 http://deb.debian.org/debian unstable/main armhf python3-dateutil all 2.9.0-4 [79.4 kB] Get: 162 http://deb.debian.org/debian unstable/main armhf python3-pil armhf 11.1.0-5+b1 [481 kB] Get: 163 http://deb.debian.org/debian unstable/main armhf python3.13-tk armhf 3.13.3-2 [103 kB] Get: 164 http://deb.debian.org/debian unstable/main armhf python3-tk armhf 3.13.3-1 [9548 B] Get: 165 http://deb.debian.org/debian unstable/main armhf python3-pil.imagetk armhf 11.1.0-5+b1 [81.2 kB] Get: 166 http://deb.debian.org/debian unstable/main armhf python3-pyparsing all 3.1.2-1 [146 kB] Get: 167 http://deb.debian.org/debian unstable/main armhf python3-contourpy armhf 1.3.1-1+b1 [181 kB] Get: 168 http://deb.debian.org/debian unstable/main armhf python3-cycler all 0.12.1-1 [9496 B] Get: 169 http://deb.debian.org/debian unstable/main armhf python3-brotli armhf 1.1.0-2+b7 [293 kB] Get: 170 http://deb.debian.org/debian unstable/main armhf python3-platformdirs all 4.3.7-1 [16.6 kB] Get: 171 http://deb.debian.org/debian unstable/main armhf python3-fs all 2.4.16-7 [95.2 kB] Get: 172 http://deb.debian.org/debian unstable/main armhf python3-lxml armhf 5.3.2-1 [1193 kB] Get: 173 http://deb.debian.org/debian unstable/main armhf python3-lz4 armhf 4.4.0+dfsg-2 [24.0 kB] Get: 174 http://deb.debian.org/debian unstable/main armhf python3-mpmath all 1.3.0-1 [419 kB] Get: 175 http://deb.debian.org/debian unstable/main armhf python3-sympy all 1.13.3-5 [4148 kB] Get: 176 http://deb.debian.org/debian unstable/main armhf python3-attr all 25.3.0-1 [69.5 kB] Get: 177 http://deb.debian.org/debian unstable/main armhf python3-ufolib2 all 0.17.1+dfsg1-1 [33.0 kB] Get: 178 http://deb.debian.org/debian unstable/main armhf python3-zopfli armhf 0.2.3.post1-1 [9740 B] Get: 179 http://deb.debian.org/debian unstable/main armhf unicode-data all 15.1.0-1 [8547 kB] Get: 180 http://deb.debian.org/debian unstable/main armhf python3-fonttools armhf 4.57.0-1 [1379 kB] Get: 181 http://deb.debian.org/debian unstable/main armhf python3-kiwisolver armhf 1.4.7-3+b1 [54.7 kB] Get: 182 http://deb.debian.org/debian unstable/main armhf python3-matplotlib armhf 3.10.1+dfsg1-3 [23.7 MB] Get: 183 http://deb.debian.org/debian unstable/main armhf python3-ase all 3.24.0-1 [1730 kB] Get: 184 http://deb.debian.org/debian unstable/main armhf python3-asttokens all 3.0.0-1 [20.1 kB] Get: 185 http://deb.debian.org/debian unstable/main armhf python3-autocommand all 2.2.2-3 [13.6 kB] Get: 186 http://deb.debian.org/debian unstable/main armhf python3-cffi-backend armhf 1.17.1-2+b2 [84.8 kB] Get: 187 http://deb.debian.org/debian unstable/main armhf python3-click all 8.2.0+0.really.8.1.8-1 [95.4 kB] Get: 188 http://deb.debian.org/debian unstable/main armhf python3-cloudpickle all 3.1.1-1 [26.6 kB] Get: 189 http://deb.debian.org/debian unstable/main armhf python3-traitlets all 5.14.3+really5.14.3-1 [70.9 kB] Get: 190 http://deb.debian.org/debian unstable/main armhf python3-comm all 0.2.1-1 [8104 B] Get: 191 http://deb.debian.org/debian unstable/main armhf python3-coverage armhf 7.6.0+dfsg1-2+b2 [174 kB] Get: 192 http://deb.debian.org/debian unstable/main armhf python3-toolz all 1.0.0-2 [44.2 kB] Get: 193 http://deb.debian.org/debian unstable/main armhf python3-cytoolz armhf 1.0.1-1+b1 [275 kB] Get: 194 http://deb.debian.org/debian unstable/main armhf python3-fsspec all 2025.3.2-1 [216 kB] Get: 195 http://deb.debian.org/debian unstable/main armhf python3-locket all 1.0.0-2 [5820 B] Get: 196 http://deb.debian.org/debian unstable/main armhf python3-partd all 1.4.2-1 [15.4 kB] Get: 197 http://deb.debian.org/debian unstable/main armhf python3-yaml armhf 6.0.2-1+b2 [126 kB] Get: 198 http://deb.debian.org/debian unstable/main armhf python3-dask all 2024.12.1+dfsg-2 [984 kB] Get: 199 http://deb.debian.org/debian unstable/main armhf python3-debugpy armhf 1.8.12+ds-1 [706 kB] Get: 200 http://deb.debian.org/debian unstable/main armhf python3-markupsafe armhf 2.1.5-1+b3 [13.6 kB] Get: 201 http://deb.debian.org/debian unstable/main armhf python3-jinja2 all 3.1.6-1 [107 kB] Get: 202 http://deb.debian.org/debian unstable/main armhf python3-msgpack armhf 1.0.3-3+b4 [78.5 kB] Get: 203 http://deb.debian.org/debian unstable/main armhf python3-psutil armhf 7.0.0-2 [219 kB] Get: 204 http://deb.debian.org/debian unstable/main armhf python3-sortedcontainers all 2.4.0-2 [31.9 kB] Get: 205 http://deb.debian.org/debian unstable/main armhf python3-tblib all 3.1.0-1 [13.8 kB] Get: 206 http://deb.debian.org/debian unstable/main armhf python3-tornado armhf 6.4.2-1 [349 kB] Get: 207 http://deb.debian.org/debian unstable/main armhf python3-urllib3 all 2.3.0-2 [114 kB] Get: 208 http://deb.debian.org/debian unstable/main armhf python3-zict all 3.0.0-2 [29.7 kB] Get: 209 http://deb.debian.org/debian unstable/main armhf python3-distributed all 2024.12.1+ds-1 [1162 kB] Get: 210 http://deb.debian.org/debian unstable/main armhf python3-executing all 2.2.0-0.1 [24.5 kB] Get: 211 http://deb.debian.org/debian unstable/main armhf python3-h5py-serial armhf 3.13.0-1+b1 [968 kB] Get: 212 http://deb.debian.org/debian unstable/main armhf python3-h5py all 3.13.0-1 [15.0 kB] Get: 213 http://deb.debian.org/debian unstable/main armhf python3-more-itertools all 10.6.0-1 [65.3 kB] Get: 214 http://deb.debian.org/debian unstable/main armhf python3-typeguard all 4.4.2-1 [37.3 kB] Get: 215 http://deb.debian.org/debian unstable/main armhf python3-inflect all 7.3.1-2 [32.4 kB] Get: 216 http://deb.debian.org/debian unstable/main armhf python3-parso all 0.8.4-1 [67.8 kB] Get: 217 http://deb.debian.org/debian unstable/main armhf python3-typeshed all 0.0~git20241223.ea91db2-1 [1530 kB] Get: 218 http://deb.debian.org/debian unstable/main armhf python3-jedi all 0.19.1+ds1-1 [691 kB] Get: 219 http://deb.debian.org/debian unstable/main armhf python3-matplotlib-inline all 0.1.7-1 [9032 B] Get: 220 http://deb.debian.org/debian unstable/main armhf python3-wcwidth all 0.2.13+dfsg1-1 [24.9 kB] Get: 221 http://deb.debian.org/debian unstable/main armhf python3-prompt-toolkit all 3.0.51-2 [278 kB] Get: 222 http://deb.debian.org/debian unstable/main armhf python3-pygments all 2.18.0+dfsg-2 [836 kB] Get: 223 http://deb.debian.org/debian unstable/main armhf python3-pure-eval all 0.2.3-1 [11.2 kB] Get: 224 http://deb.debian.org/debian unstable/main armhf python3-stack-data all 0.6.3-1 [21.6 kB] Get: 225 http://deb.debian.org/debian unstable/main armhf python3-ptyprocess all 0.7.0-6 [14.5 kB] Get: 226 http://deb.debian.org/debian unstable/main armhf python3-pexpect all 4.9-3 [55.6 kB] Get: 227 http://deb.debian.org/debian unstable/main armhf python3-jaraco.context all 6.0.1-1 [8276 B] Get: 228 http://deb.debian.org/debian unstable/main armhf python3-jaraco.functools all 4.1.0-1 [12.0 kB] Get: 229 http://deb.debian.org/debian unstable/main armhf python3-pkg-resources all 78.1.0-1.2 [224 kB] Get: 230 http://deb.debian.org/debian unstable/main armhf python3-jaraco.text all 4.0.0-1 [11.4 kB] Get: 231 http://deb.debian.org/debian unstable/main armhf python3-zipp all 3.21.0-1 [10.6 kB] Get: 232 http://deb.debian.org/debian unstable/main armhf python3-setuptools all 78.1.0-1.2 [738 kB] Get: 233 http://deb.debian.org/debian unstable/main armhf python3-ipython all 8.30.0-2 [568 kB] Get: 234 http://deb.debian.org/debian unstable/main armhf python3-jupyter-core all 5.7.2-5 [35.3 kB] Get: 235 http://deb.debian.org/debian unstable/main armhf python3-zmq armhf 26.2.1-1+b1 [168 kB] Get: 236 http://deb.debian.org/debian unstable/main armhf python3-jupyter-client all 8.6.3-2 [92.4 kB] Get: 237 http://deb.debian.org/debian unstable/main armhf python3-nest-asyncio all 1.5.4-1 [6248 B] Get: 238 http://deb.debian.org/debian unstable/main armhf python3-ipykernel all 6.29.5-2 [102 kB] Get: 239 http://deb.debian.org/debian unstable/main armhf python3-jupyterlab-widgets all 8.1.5-6 [171 kB] Get: 240 http://deb.debian.org/debian unstable/main armhf python3-widgetsnbextension all 8.1.5-6 [851 kB] Get: 241 http://deb.debian.org/debian unstable/main armhf python3-ipywidgets all 8.1.5-6 [105 kB] Get: 242 http://deb.debian.org/debian unstable/main armhf python3-joblib all 1.4.2-3 [216 kB] Get: 243 http://deb.debian.org/debian unstable/main armhf python3-threadpoolctl all 3.1.0-1 [21.2 kB] Get: 244 http://deb.debian.org/debian unstable/main armhf python3-sklearn-lib armhf 1.4.2+dfsg-8 [3389 kB] Get: 245 http://deb.debian.org/debian unstable/main armhf python3-sklearn all 1.4.2+dfsg-8 [2248 kB] Get: 246 http://deb.debian.org/debian unstable/main armhf python3-sidpy all 0.12.3-3 [76.9 kB] Fetched 130 MB in 11s (12.3 MB/s) Preconfiguring packages ... Selecting previously unselected package libtext-charwidth-perl:armhf. (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 ... 19565 files and directories currently installed.) Preparing to unpack .../0-libtext-charwidth-perl_0.04-11+b4_armhf.deb ... Unpacking libtext-charwidth-perl:armhf (0.04-11+b4) ... Selecting previously unselected package libtext-wrapi18n-perl. Preparing to unpack .../1-libtext-wrapi18n-perl_0.06-10_all.deb ... Unpacking libtext-wrapi18n-perl (0.06-10) ... Selecting previously unselected package libproc2-0:armhf. Preparing to unpack .../2-libproc2-0_2%3a4.0.4-8_armhf.deb ... Unpacking libproc2-0:armhf (2:4.0.4-8) ... Selecting previously unselected package procps. Preparing to unpack .../3-procps_2%3a4.0.4-8_armhf.deb ... Unpacking procps (2:4.0.4-8) ... Selecting previously unselected package sensible-utils. Preparing to unpack .../4-sensible-utils_0.0.25_all.deb ... Unpacking sensible-utils (0.0.25) ... Selecting previously unselected package ucf. Preparing to unpack .../5-ucf_3.0051_all.deb ... Moving old data out of the way Unpacking ucf (3.0051) ... Selecting previously unselected package libdebuginfod-common. Preparing to unpack .../6-libdebuginfod-common_0.192-4_all.deb ... Unpacking libdebuginfod-common (0.192-4) ... Selecting previously unselected package libpython3.13-minimal:armhf. Preparing to unpack .../7-libpython3.13-minimal_3.13.3-2_armhf.deb ... Unpacking libpython3.13-minimal:armhf (3.13.3-2) ... Selecting previously unselected package libexpat1:armhf. Preparing to unpack .../8-libexpat1_2.7.1-1_armhf.deb ... Unpacking libexpat1:armhf (2.7.1-1) ... Selecting previously unselected package python3.13-minimal. Preparing to unpack .../9-python3.13-minimal_3.13.3-2_armhf.deb ... Unpacking python3.13-minimal (3.13.3-2) ... Setting up libpython3.13-minimal:armhf (3.13.3-2) ... Setting up libexpat1:armhf (2.7.1-1) ... Setting up python3.13-minimal (3.13.3-2) ... Selecting previously unselected package python3-minimal. (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 ... 20170 files and directories currently installed.) Preparing to unpack .../0-python3-minimal_3.13.3-1_armhf.deb ... Unpacking python3-minimal (3.13.3-1) ... Selecting previously unselected package media-types. Preparing to unpack .../1-media-types_13.0.0_all.deb ... Unpacking media-types (13.0.0) ... Selecting previously unselected package netbase. Preparing to unpack .../2-netbase_6.5_all.deb ... Unpacking netbase (6.5) ... 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Adding 'diversion of /lib/arm-linux-gnueabihf/libhistory.so.8 to /lib/arm-linux-gnueabihf/libhistory.so.8.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/arm-linux-gnueabihf/libhistory.so.8.2 to /lib/arm-linux-gnueabihf/libhistory.so.8.2.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/arm-linux-gnueabihf/libreadline.so.8 to /lib/arm-linux-gnueabihf/libreadline.so.8.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/arm-linux-gnueabihf/libreadline.so.8.2 to /lib/arm-linux-gnueabihf/libreadline.so.8.2.usr-is-merged by libreadline8t64' Unpacking libreadline8t64:armhf (8.2-6) ... Selecting previously unselected package libpython3.13-stdlib:armhf. Preparing to unpack .../7-libpython3.13-stdlib_3.13.3-2_armhf.deb ... Unpacking libpython3.13-stdlib:armhf (3.13.3-2) ... Selecting previously unselected package python3.13. Preparing to unpack .../8-python3.13_3.13.3-2_armhf.deb ... Unpacking python3.13 (3.13.3-2) ... 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'var(--my-color-\.)', # CSS variable with escaped characters Setting up python3-debugpy (1.8.12+ds-1) ... Setting up python3-ipykernel (6.29.5-2) ... Setting up python3-fonttools (4.57.0-1) ... Setting up python3-ufolib2 (0.17.1+dfsg1-1) ... Setting up python3-matplotlib (3.10.1+dfsg1-3) ... Setting up python3-ase (3.24.0-1) ... Setting up python3-sidpy (0.12.3-3) ... Processing triggers for libc-bin (2.41-7) ... Processing triggers for ca-certificates (20250419) ... Updating certificates in /etc/ssl/certs... 0 added, 0 removed; done. Running hooks in /etc/ca-certificates/update.d... done. Reading package lists... Building dependency tree... Reading state information... Reading extended state information... Initializing package states... Writing extended state information... Building tag database... -> Finished parsing the build-deps I: Building the package I: Running cd /build/reproducible-path/pyusid-0.0.12/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-genchanges -S > ../pyusid_0.0.12-3_source.changes dpkg-buildpackage: info: source package pyusid dpkg-buildpackage: info: source version 0.0.12-3 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Roland Mas dpkg-source --before-build . dpkg-buildpackage: info: host architecture armhf dpkg-source: info: using options from pyusid-0.0.12/debian/source/options: --extend-diff-ignore=^[^/]+.(egg-info|dist-info)/ debian/rules clean dh clean --with python3 --buildsystem=pybuild dh_auto_clean -O--buildsystem=pybuild dh_autoreconf_clean -O--buildsystem=pybuild dh_clean -O--buildsystem=pybuild debian/rules binary dh binary --with python3 --buildsystem=pybuild dh_update_autotools_config -O--buildsystem=pybuild dh_autoreconf -O--buildsystem=pybuild dh_auto_configure -O--buildsystem=pybuild dh_auto_build -O--buildsystem=pybuild I: pybuild plugin_pyproject:129: Building wheel for python3.13 with "build" module I: pybuild base:311: python3.13 -m build --skip-dependency-check --no-isolation --wheel --outdir /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid * Building wheel... /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:289: UserWarning: Unknown distribution option: 'tests_require' warnings.warn(msg) /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:289: UserWarning: Unknown distribution option: 'test_suite' warnings.warn(msg) /usr/lib/python3/dist-packages/setuptools/dist.py:759: SetuptoolsDeprecationWarning: License classifiers are deprecated. !! ******************************************************************************** Please consider removing the following classifiers in favor of a SPDX license expression: License :: OSI Approved :: MIT License See https://packaging.python.org/en/latest/guides/writing-pyproject-toml/#license for details. ******************************************************************************** !! self._finalize_license_expression() running bdist_wheel /usr/lib/python3/dist-packages/setuptools/_distutils/cmd.py:135: SetuptoolsDeprecationWarning: bdist_wheel.universal is deprecated !! ******************************************************************************** With Python 2.7 end-of-life, support for building universal wheels (i.e., wheels that support both Python 2 and Python 3) is being obviated. Please discontinue using this option, or if you still need it, file an issue with pypa/setuptools describing your use case. By 2025-Aug-30, you need to update your project and remove deprecated calls or your builds will no longer be supported. ******************************************************************************** !! self.finalize_options() running build running build_py creating build/lib/pyUSID copying pyUSID/__version__.py -> build/lib/pyUSID copying pyUSID/__init__.py -> build/lib/pyUSID creating build/lib/pyUSID/io copying pyUSID/io/image.py -> build/lib/pyUSID/io copying pyUSID/io/reg_ref.py -> build/lib/pyUSID/io copying pyUSID/io/__init__.py -> build/lib/pyUSID/io copying pyUSID/io/array_translator.py -> build/lib/pyUSID/io copying pyUSID/io/dimension.py -> build/lib/pyUSID/io copying pyUSID/io/anc_build_utils.py -> build/lib/pyUSID/io copying pyUSID/io/usi_data.py -> build/lib/pyUSID/io creating build/lib/pyUSID/processing copying pyUSID/processing/comp_utils.py -> build/lib/pyUSID/processing copying pyUSID/processing/__init__.py -> build/lib/pyUSID/processing copying pyUSID/processing/process.py -> build/lib/pyUSID/processing creating build/lib/pyUSID/io/hdf_utils copying pyUSID/io/hdf_utils/simple.py -> build/lib/pyUSID/io/hdf_utils copying pyUSID/io/hdf_utils/model.py -> build/lib/pyUSID/io/hdf_utils copying pyUSID/io/hdf_utils/__init__.py -> build/lib/pyUSID/io/hdf_utils copying pyUSID/io/hdf_utils/base.py -> build/lib/pyUSID/io/hdf_utils running egg_info creating pyUSID.egg-info writing pyUSID.egg-info/PKG-INFO writing dependency_links to pyUSID.egg-info/dependency_links.txt writing requirements to pyUSID.egg-info/requires.txt writing top-level names to pyUSID.egg-info/top_level.txt writing manifest file 'pyUSID.egg-info/SOURCES.txt' reading manifest file 'pyUSID.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' warning: no previously-included files matching '*' found under directory 'tests' adding license file 'LICENSE' writing manifest file 'pyUSID.egg-info/SOURCES.txt' installing to build/bdist.linux-armv7l/wheel running install running install_lib creating build/bdist.linux-armv7l/wheel creating build/bdist.linux-armv7l/wheel/pyUSID copying build/lib/pyUSID/__version__.py -> build/bdist.linux-armv7l/wheel/./pyUSID copying build/lib/pyUSID/__init__.py -> build/bdist.linux-armv7l/wheel/./pyUSID creating build/bdist.linux-armv7l/wheel/pyUSID/io copying build/lib/pyUSID/io/image.py -> build/bdist.linux-armv7l/wheel/./pyUSID/io copying build/lib/pyUSID/io/reg_ref.py -> build/bdist.linux-armv7l/wheel/./pyUSID/io copying build/lib/pyUSID/io/__init__.py -> build/bdist.linux-armv7l/wheel/./pyUSID/io copying build/lib/pyUSID/io/array_translator.py -> build/bdist.linux-armv7l/wheel/./pyUSID/io creating build/bdist.linux-armv7l/wheel/pyUSID/io/hdf_utils copying build/lib/pyUSID/io/hdf_utils/simple.py -> build/bdist.linux-armv7l/wheel/./pyUSID/io/hdf_utils copying build/lib/pyUSID/io/hdf_utils/model.py -> build/bdist.linux-armv7l/wheel/./pyUSID/io/hdf_utils copying build/lib/pyUSID/io/hdf_utils/__init__.py -> build/bdist.linux-armv7l/wheel/./pyUSID/io/hdf_utils copying build/lib/pyUSID/io/hdf_utils/base.py -> build/bdist.linux-armv7l/wheel/./pyUSID/io/hdf_utils copying build/lib/pyUSID/io/dimension.py -> build/bdist.linux-armv7l/wheel/./pyUSID/io copying build/lib/pyUSID/io/anc_build_utils.py -> build/bdist.linux-armv7l/wheel/./pyUSID/io copying build/lib/pyUSID/io/usi_data.py -> build/bdist.linux-armv7l/wheel/./pyUSID/io creating build/bdist.linux-armv7l/wheel/pyUSID/processing copying build/lib/pyUSID/processing/comp_utils.py -> build/bdist.linux-armv7l/wheel/./pyUSID/processing copying build/lib/pyUSID/processing/__init__.py -> build/bdist.linux-armv7l/wheel/./pyUSID/processing copying build/lib/pyUSID/processing/process.py -> build/bdist.linux-armv7l/wheel/./pyUSID/processing running install_egg_info Copying pyUSID.egg-info to build/bdist.linux-armv7l/wheel/./pyUSID-0.0.12.egg-info running install_scripts creating build/bdist.linux-armv7l/wheel/pyusid-0.0.12.dist-info/WHEEL creating '/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/.tmp-ef4iupbn/pyusid-0.0.12-py2.py3-none-any.whl' and adding 'build/bdist.linux-armv7l/wheel' to it adding 'pyUSID/__init__.py' adding 'pyUSID/__version__.py' adding 'pyUSID/io/__init__.py' adding 'pyUSID/io/anc_build_utils.py' adding 'pyUSID/io/array_translator.py' adding 'pyUSID/io/dimension.py' adding 'pyUSID/io/image.py' adding 'pyUSID/io/reg_ref.py' adding 'pyUSID/io/usi_data.py' adding 'pyUSID/io/hdf_utils/__init__.py' adding 'pyUSID/io/hdf_utils/base.py' adding 'pyUSID/io/hdf_utils/model.py' adding 'pyUSID/io/hdf_utils/simple.py' adding 'pyUSID/processing/__init__.py' adding 'pyUSID/processing/comp_utils.py' adding 'pyUSID/processing/process.py' adding 'pyusid-0.0.12.dist-info/licenses/LICENSE' adding 'pyusid-0.0.12.dist-info/METADATA' adding 'pyusid-0.0.12.dist-info/WHEEL' adding 'pyusid-0.0.12.dist-info/top_level.txt' adding 'pyusid-0.0.12.dist-info/RECORD' removing build/bdist.linux-armv7l/wheel Successfully built pyusid-0.0.12-py2.py3-none-any.whl I: pybuild plugin_pyproject:144: Unpacking wheel built for python3.13 with "installer" module dh_auto_test -O--buildsystem=pybuild I: pybuild base:311: cd /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build; python3.13 -m unittest discover -v test_legal (tests.io.hdf_utils.test_base.TestFindDataset.test_legal) ... ok test_many (tests.io.hdf_utils.test_base.TestGetH5ObjRefs.test_many) ... ok test_no_hdf5_datasets (tests.io.hdf_utils.test_base.TestGetH5ObjRefs.test_no_hdf5_datasets) ... ok test_non_string_names (tests.io.hdf_utils.test_base.TestGetH5ObjRefs.test_non_string_names) ... ok test_same_name (tests.io.hdf_utils.test_base.TestGetH5ObjRefs.test_same_name) ... ok test_single (tests.io.hdf_utils.test_base.TestGetH5ObjRefs.test_single) ... ok test_root_all_dsets (tests.io.hdf_utils.test_base.TestPrintTreeBEPS.test_root_all_dsets) ... ok test_root_main_dsets_only (tests.io.hdf_utils.test_base.TestPrintTreeBEPS.test_root_main_dsets_only) ... ok test_multi_level_rel_paths (tests.io.hdf_utils.test_base.TestPrintTreeNoMain.test_multi_level_rel_paths) ... ok test_multi_level_rel_paths_grp_b (tests.io.hdf_utils.test_base.TestPrintTreeNoMain.test_multi_level_rel_paths_grp_b) ... ok test_multi_level_tree (tests.io.hdf_utils.test_base.TestPrintTreeNoMain.test_multi_level_tree) ... ok test_multi_level_tree_grp_a (tests.io.hdf_utils.test_base.TestPrintTreeNoMain.test_multi_level_tree_grp_a) ... ok test_multi_level_tree_grp_b (tests.io.hdf_utils.test_base.TestPrintTreeNoMain.test_multi_level_tree_grp_b) ... ok test_multi_level_tree_main_dsets_only (tests.io.hdf_utils.test_base.TestPrintTreeNoMain.test_multi_level_tree_main_dsets_only) ... ok test_not_a_group (tests.io.hdf_utils.test_base.TestPrintTreeNoMain.test_not_a_group) ... ok test_single_level_rel_paths (tests.io.hdf_utils.test_base.TestPrintTreeNoMain.test_single_level_rel_paths) ... ok test_single_level_tree (tests.io.hdf_utils.test_base.TestPrintTreeNoMain.test_single_level_tree) ... ok test_dset (tests.io.hdf_utils.test_base.TestWriteBookKeepingAttrs.test_dset) ... ok test_file (tests.io.hdf_utils.test_base.TestWriteBookKeepingAttrs.test_file) ... ok test_group (tests.io.hdf_utils.test_base.TestWriteBookKeepingAttrs.test_group) ... ok test_invalid (tests.io.hdf_utils.test_base.TestWriteBookKeepingAttrs.test_invalid) ... ok test_invalid_sort (tests.io.hdf_utils.test_model.TestGetDimensionality.test_invalid_sort) ... ok test_legal_no_sort (tests.io.hdf_utils.test_model.TestGetDimensionality.test_legal_no_sort) ... ok test_legal_w_sort (tests.io.hdf_utils.test_model.TestGetDimensionality.test_legal_w_sort) ... ok test_not_hdf_dset (tests.io.hdf_utils.test_model.TestGetDimensionality.test_not_hdf_dset) ... ok test_invalid_types (tests.io.hdf_utils.test_model.TestGetSortOrder.test_invalid_types) ... ok test_reversed (tests.io.hdf_utils.test_model.TestGetSortOrder.test_reversed) ... ok test_simple (tests.io.hdf_utils.test_model.TestGetSortOrder.test_simple) ... ok test_all_dim_names_not_provided (tests.io.hdf_utils.test_model.TestGetUnitValues.test_all_dim_names_not_provided) ... ok test_dependent_dim (tests.io.hdf_utils.test_model.TestGetUnitValues.test_dependent_dim) ... ok test_illegal_dset (tests.io.hdf_utils.test_model.TestGetUnitValues.test_illegal_dset) ... ok test_illegal_key (tests.io.hdf_utils.test_model.TestGetUnitValues.test_illegal_key) ... ok test_incomp_dim_no_attr (tests.io.hdf_utils.test_model.TestGetUnitValues.test_incomp_dim_no_attr) ... ok test_source_pos_all (tests.io.hdf_utils.test_model.TestGetUnitValues.test_source_pos_all) ... ok test_source_pos_single (tests.io.hdf_utils.test_model.TestGetUnitValues.test_source_pos_single) ... ok test_source_spec_all (tests.io.hdf_utils.test_model.TestGetUnitValues.test_source_spec_all) ... ok test_source_spec_all_explicit (tests.io.hdf_utils.test_model.TestGetUnitValues.test_source_spec_all_explicit) ... ok test_source_spec_single (tests.io.hdf_utils.test_model.TestGetUnitValues.test_source_spec_single) ... ok test_sparse_samp_no_attr (tests.io.hdf_utils.test_model.TestGetUnitValues.test_sparse_samp_no_attr) ... ok test_sparse_samp_w_attr (tests.io.hdf_utils.test_model.TestGetUnitValues.test_sparse_samp_w_attr) ... ok test_pos_and_spec_may_may_not_be_provided (tests.io.hdf_utils.test_model.TestReshapeFromNDims.test_pos_and_spec_may_may_not_be_provided) ... ok test_pos_and_spec_provided (tests.io.hdf_utils.test_model.TestReshapeFromNDims.test_pos_and_spec_provided) ... ok test_dask_all (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_dask_all) ... ok test_dask_all_both_inds_order_flipped (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_dask_all_both_inds_order_flipped) ... ok test_dask_all_ordinary_1d_pos (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_dask_all_ordinary_1d_pos) ... ok test_dask_all_ordinary_1d_spec (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_dask_all_ordinary_1d_spec) ... ok test_dask_in_ordinary_1d_pos (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_dask_in_ordinary_1d_pos) ... ok test_dask_in_ordinary_1d_spec (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_dask_in_ordinary_1d_spec) ... ok test_dask_input (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_dask_input) ... ok test_dask_out_ordinary_1d_pos (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_dask_out_ordinary_1d_pos) ... ok test_dask_out_ordinary_1d_spec (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_dask_out_ordinary_1d_spec) ... 2D: False, Spec: False, Flip: False Main data shapes ND: (2,), 2D: (2, 1) [ 89 178] [[ 89] [178]] Position dimensions: ['Position Dimension 0'] Position sort order: [0] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [2] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [1] Will attempt to reshape main dataset from: (2, 1) to [2, 1] After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0'] Data shape is (2, 1) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Position dimensions: ['Position Dimension 0'] Position sort order: [0] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [2] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [1] Will attempt to reshape main dataset from: (2, 1) to [2, 1] After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0'] Data shape is (2, 1) Going to put dimensions back in the same order as in the file: Axes will permuted in this order: [0 1] New labels ordering: ['Position Dimension 0' 'Spectral Dimension 0'] Dataset now of shape: (2, 1) 2D: False, Spec: True, Flip: False Main data shapes ND: (2,), 2D: (1, 2) [190 171] [[190 171]] Position dimensions: ['Position Dimension 0'] Position sort order: [0] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [1] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [2] Will attempt to reshape main dataset from: (1, 2) to [1, 2] After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0'] Data shape is (1, 2) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Position dimensions: ['Position Dimension 0'] Position sort order: [0] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [1] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [2] Will attempt to reshape main dataset from: (1, 2) to [1, 2] After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0'] Data shape is (1, 2) Going to put dimensions back in the same order as in the file: Axes will permuted in this order: [0 1] New labels ordering: ['Position Dimension 0' 'Spectral Dimension 0'] Dataset now of shape: (1, 2) 2D: False, Spec: False, Flip: False Main data shapes ND: (2,), 2D: (2, 1) [ 37 136] [[ 37] [136]] Position dimensions: ['Position Dimension 0'] Position sort order: [0] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [2] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [1] Will attempt to reshape main dataset from: (2, 1) to [2, 1] After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0'] Data shape is (2, 1) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Position dimensions: ['Position Dimension 0'] Position sort order: [0] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [2] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [1] Will attempt to reshape main dataset from: (2, 1) to [2, 1] After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0'] Data shape is (2, 1) Going to put dimensions back in the same order as in the file: Axes will permuted in this order: [0 1] New labels ordering: ['Position Dimension 0' 'Spectral Dimension 0'] Dataset now of shape: (2, 1) 2D: False, Spec: True, Flip: False Main data shapes ND: (2,), 2D: (1, 2) [177 148] [[177 148]] Position dimensions: ['Position Dimension 0'] Position sort order: [0] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [1] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [2] Will attempt to reshape main dataset from: (1, 2) to [1, 2] After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0'] Data shape is (1, 2) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Position dimensions: ['Position Dimension 0'] Position sort order: [0] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [1] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [2] Will attempt to reshape main dataset from: (1, 2) to [1, 2] After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0'] Data shape is (1, 2) Going to put dimensions back in the same order as in the file: Axes will permuted in this order: [0 1] New labels ordering: ['Position Dimension 0' 'Spectral Dimension 0'] Dataset now of shape: (1, 2) 2D: False, Spec: False, Flip: False Main data shapes ND: (2,), 2D: (2, 1) [ 27 216] [[ 27] [216]] Position dimensions: ['Position Dimension 0'] Position sort order: [0] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [2] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [1] Will attempt to reshape main dataset from: (2, 1) to [2, 1] After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0'] Data shape is (2, 1) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Position dimensions: ['Position Dimension 0'] Position sort order: [0] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [2] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [1] Will attempt to reshape main dataset from: (2, 1) to [2, 1] After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0'] Data shape is (2, 1) Going to put dimensions back in the same order as in the file: Axes will permuted in this order: [0 1] New labels ordering: ['Position Dimension 0' 'Spectral Dimension 0'] Dataset now of shape: (2, 1) 2D: False, Spec: True, Flip: False Main data shapes ND: (2,), 2D: (1, 2) [243 174] [[243 174]] Position dimensions: ['Position Dimension 0'] Position sort order: [0] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [1] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [2] Will attempt to reshape main dataset from: (1, 2) to [1, 2] After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0'] Data shape is (1, 2) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Position dimensions: ['Position Dimension 0'] Position sort order: [0] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [1] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [2] Will attempt to reshape main dataset from: (1, 2) to [1, 2]ok test_dask_output (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_dask_output) ... ok test_h5_already_sorted (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_h5_already_sorted) ... ok test_h5_beps_field (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_h5_beps_field) ... ok test_h5_both_inds_flipped (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_h5_both_inds_flipped) ... ok test_h5_manually_provided_anc_dsets_h5 (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_h5_manually_provided_anc_dsets_h5) ... ok test_h5_not_main_dset (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_h5_not_main_dset) ... ok test_numpy_both_inds_order_flipped (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_numpy_both_inds_order_flipped) ... ok test_numpy_ordinary (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_numpy_ordinary) ... ok test_numpy_ordinary_1d_pos (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_numpy_ordinary_1d_pos) ... ok test_numpy_ordinary_1d_spec (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_numpy_ordinary_1d_spec) ... ok test_numpy_ordinary_2d_pos (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_numpy_ordinary_2d_pos) ... ok test_numpy_ordinary_2d_spec (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_numpy_ordinary_2d_spec) ... After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0'] Data shape is (1, 2) Going to put dimensions back in the same order as in the file: Axes will permuted in this order: [0 1] New labels ordering: ['Position Dimension 0' 'Spectral Dimension 0'] Dataset now of shape: (1, 2) Position dimensions: ['X' 'Y'] Position sort order: [0 1] Spectroscopic Dimensions: ['Bias' 'Cycle'] Spectroscopic sort order: [0 1] Position dimensions (sort applied): ['X' 'Y'] Position dimensionality (sort applied): [5, 3] Spectroscopic dimensions (sort applied): ['Bias' 'Cycle'] Spectroscopic dimensionality (sort applied): [7, 2] Will attempt to reshape main dataset from: (15, 14) to [3, 5, 2, 7] After reshaping, labels are ['Y' 'X' 'Cycle' 'Bias'] Data shape is (3, 5, 2, 7) Going to put dimensions back in the same order as in the file: Axes will permuted in this order: [1 0 3 2] New labels ordering: ['X' 'Y' 'Bias' 'Cycle'] Dataset now of shape: (5, 3, 7, 2) Position dimensions: ['X' 'Y'] Position sort order: [0 1] Spectroscopic Dimensions: ['Bias' 'Cycle'] Spectroscopic sort order: [0 1] Position dimensions (sort applied): ['X' 'Y'] Position dimensionality (sort applied): [5, 3] Spectroscopic dimensions (sort applied): ['Bias' 'Cycle'] Spectroscopic dimensionality (sort applied): [7, 2] Will attempt to reshape main dataset from: (15, 14) to [3, 5, 2, 7] After reshaping, labels are ['Y' 'X' 'Cycle' 'Bias'] Data shape is (3, 5, 2, 7) Position dimensions: ['X' 'Y'] Position sort order: [0 1] Spectroscopic Dimensions: ['Bias' 'Cycle'] Spectroscopic sort order: [0 1] Position dimensions (sort applied): ['X' 'Y'] Position dimensionality (sort applied): [5, 3] Spectroscopic dimensions (sort applied): ['Bias' 'Cycle'] Spectroscopic dimensionality (sort applied): [7, 2] Will attempt to reshape main dataset from: (15, 14) to [3, 5, 2, 7] After reshaping, labels are ['Y' 'X' 'Cycle' 'Bias'] Data shape is (3, 5, 2, 7) Going to put dimensions back in the same order as in the file: Axes will permuted in this order: [1 0 3 2] New labels ordering: ['X' 'Y' 'Bias' 'Cycle'] Dataset now of shape: (5, 3, 7, 2) Position dimensions: ['X' 'Y'] Position sort order: [0 1] Spectroscopic Dimensions: ['Bias' 'Cycle'] Spectroscopic sort order: [0 1] Position dimensions (sort applied): ['X' 'Y'] Position dimensionality (sort applied): [5, 3] Spectroscopic dimensions (sort applied): ['Bias' 'Cycle'] Spectroscopic dimensionality (sort applied): [7, 2] Will attempt to reshape main dataset from: (15, 14) to [3, 5, 2, 7] After reshaping, labels are ['Y' 'X' 'Cycle' 'Bias'] Data shape is (3, 5, 2, 7) Going to put dimensions back in the same order as in the file: Axes will permuted in this order: [1 0 3 2] New labels ordering: ['X' 'Y' 'Bias' 'Cycle'] Dataset now of shape: (5, 3, 7, 2) Position dimensions: ['X' 'Y'] Position sort order: [0 1] Spectroscopic Dimensions: ['Bias' 'Cycle'] Spectroscopic sort order: [0 1] Position dimensions (sort applied): ['X' 'Y'] Position dimensionality (sort applied): [5, 3] Spectroscopic dimensions (sort applied): ['Bias' 'Cycle'] Spectroscopic dimensionality (sort applied): [7, 2] Will attempt to reshape main dataset from: (15, 14) to [3, 5, 2, 7] After reshaping, labels are ['Y' 'X' 'Cycle' 'Bias'] Data shape is (3, 5, 2, 7) Going to put dimensions back in the same order as in the file: Axes will permuted in this order: [1 0 3 2] New labels ordering: ['X' 'Y' 'Bias' 'Cycle'] Dataset now of shape: (5, 3, 7, 2) 2D: False, Spec: False, Flip: False Main data shapes ND: (2,), 2D: (2, 1) [125 29] [[125] [ 29]] Position dimensions: ['Position Dimension 0'] Position sort order: [0] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [2] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [1] Will attempt to reshape main dataset from: (2, 1) to [2, 1] After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0'] Data shape is (2, 1) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Position dimensions: ['Position Dimension 0'] Position sort order: [0] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [2] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [1] Will attempt to reshape main dataset from: (2, 1) to [2, 1] After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0'] Data shape is (2, 1) Going to put dimensions back in the same order as in the file: Axes will permuted in this order: [0 1] New labels ordering: ['Position Dimension 0' 'Spectral Dimension 0'] Dataset now of shape: (2, 1) 2D: False, Spec: True, Flip: False Main data shapes ND: (2,), 2D: (1, 2) [122 223] [[122 223]] Position dimensions: ['Position Dimension 0'] Position sort order: [0] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [1] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [2] Will attempt to reshape main dataset from: (1, 2) to [1, 2] After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0'] Data shape is (1, 2) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Position dimensions: ['Position Dimension 0'] Position sort order: [0] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [1] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [2] Will attempt to reshape main dataset from: (1, 2) to [1, 2] After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0'] Data shape is (1, 2) Going to put dimensions back in the same order as in the file: Axes will permuted in this order: [0 1] New labels ordering: ['Position Dimension 0' 'Spectral Dimension 0'] Dataset now of shape: (1, 2) 2D: True, Spec: False, Flip: False Main data shapes ND: (2, 3), 2D: (6, 1) [[141 82 12] [190 159 67]] [[141] [ 82] [ 12] [190] [159] [ 67]] Position dimensions: ['Position Dimension 0' 'Position Dimension 1'] Position sort order: [0 1] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0' 'Position Dimension 1'] Position dimensionality (sort applied): [3, 2] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [1] Will attempt to reshape main dataset from: (6, 1) to [2, 3, 1] After reshaping, labels are ['Position Dimension 1' 'Position Dimension 0' 'Spectral Dimension 0'] Data shape is (2, 3, 1) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Position dimensions: ['Position Dimension 0' 'Position Dimension 1'] Position sort order: [0 1] Spectroscopic Dimensions: ['Spectral Dimension 0'] Spectroscopic sort order: [0] Position dimensions (sort applied): ['Position Dimension 0' 'Position Dimension 1'] Position dimensionality (sort applied): [3, 2] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0'] Spectroscopic dimensionality (sort applied): [1] Will attempt to reshape main dataset from: (6, 1) to [2, 3, 1] After reshaping, labels are ['Position Dimension 1' 'Position Dimension 0' 'Spectral Dimension 0'] Data shape is (2, 3, 1) Going to put dimensions back in the same order as in the file: Axes will permuted in this order: [1 0 2] New labels ordering: ['Position Dimension 0' 'Position Dimension 1' 'Spectral Dimension 0'] Dataset now of shape: (3, 2, 1) 2D: True, Spec: True, Flip: False Main data shapes ND: (2, 3), 2D: (1, 6) [[104 14 170] [131 101 42]] [[104 14 170 131 101 42]] Position dimensions: ['Position Dimension 0'] Position sort order:ok test_numpy_pos_inds_order_flipped (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_numpy_pos_inds_order_flipped) ... ok test_numpy_spec_inds_order_flipped (tests.io.hdf_utils.test_model.TestReshapeToNDims.test_numpy_spec_inds_order_flipped) ... ok test_dask_small (tests.io.hdf_utils.test_model.TestWriteMainDataset.test_dask_small) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_empty_main (tests.io.hdf_utils.test_model.TestWriteMainDataset.test_empty_main) ... ok test_numpy_small (tests.io.hdf_utils.test_model.TestWriteMainDataset.test_numpy_small) ... ok test_prod_sizes_mismatch (tests.io.hdf_utils.test_model.TestWriteMainDataset.test_prod_sizes_mismatch) ... ok test_write_main_both_existing_aux (tests.io.hdf_utils.test_model.TestWriteMainDataset.test_write_main_both_existing_aux) ... ok test_write_main_both_existing_aux_diff_file (tests.io.hdf_utils.test_model.TestWriteMainDataset.test_write_main_both_existing_aux_diff_file) ... ok test_write_main_existing_pos_aux (tests.io.hdf_utils.test_model.TestWriteMainDataset.test_write_main_existing_pos_aux) ... [0] Spectroscopic Dimensions: ['Spectral Dimension 0' 'Spectral Dimension 1'] Spectroscopic sort order: [0 1] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [1] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0' 'Spectral Dimension 1'] Spectroscopic dimensionality (sort applied): [3, 2] Will attempt to reshape main dataset from: (1, 6) to [1, 2, 3] After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 1' 'Spectral Dimension 0'] Data shape is (1, 2, 3) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Position dimensions: ['Position Dimension 0'] Position sort order: [0] Spectroscopic Dimensions: ['Spectral Dimension 0' 'Spectral Dimension 1'] Spectroscopic sort order: [0 1] Position dimensions (sort applied): ['Position Dimension 0'] Position dimensionality (sort applied): [1] Spectroscopic dimensions (sort applied): ['Spectral Dimension 0' 'Spectral Dimension 1'] Spectroscopic dimensionality (sort applied): [3, 2] Will attempt to reshape main dataset from: (1, 6) to [1, 2, 3] After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 1' 'Spectral Dimension 0'] Data shape is (1, 2, 3) Going to put dimensions back in the same order as in the file: Axes will permuted in this order: [0 2 1] New labels ordering: ['Position Dimension 0' 'Spectral Dimension 0' 'Spectral Dimension 1'] Dataset now of shape: (1, 3, 2) h5 group and file OK quantity, units, main_data_name all OK Provided numpy or Dask array for main_data OK so far Passed all pre-tests for creating position datasets Indices: [[0 0] [0 1] [0 2] [0 3] [0 4] [1 0] [1 1] [1 2] [1 3] [1 4] [2 0] [2 1] [2 2] [2 3] [2 4]] Values: [[0. 0.] [0. 1.] [0. 2.] [0. 3.] [0. 4.] [1. 0.] [1. 1.] [1. 2.] [1. 3.] [1. 4.] [2. 0.] [2. 1.] [2. 2.] [2. 3.] [2. 4.]] Created position datasets! Passed all pre-tests for creating spectroscopic datasets Indices: [[0 0 0 0 0 0 0 1 1 1 1 1 1 1] [0 1 2 3 4 5 6 0 1 2 3 4 5 6]] Values: [[0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 1. 1. 1.] [0. 1. 2. 3. 4. 5. 6. 0. 1. 2. 3. 4. 5. 6.]] Created Spectroscopic datasets Created empty dataset: for writing Dask dataset: dask.array Dask array will be written to HDF5 dataset: "/Test_Main" in file: "test.h5" Wrote quantity and units attributes to main dataset Successfully linked datasets - dataset should be main now [[0 0] [1 0] [2 0] [3 0] [4 0] [0 1] [1 1] [2 1] [3 1] [4 1] [0 2] [1 2] [2 2] [3 2] [4 2]] [[0 1 2 3 4 5 6 0 1 2 3 4 5 6] [0 0 0 0 0 0 0 1 1 1 1 1 1 1]] h5 group and file OK quantity, units, main_data_name all OK Selected empty dataset creation. OK so far Passed all pre-tests for creating position datasets Indices: [[0 0] [0 1] [0 2] [0 3] [0 4] [1 0] [1 1] [1 2] [1 3] [1 4] [2 0] [2 1] [2 2] [2 3] [2 4]] Values: [[0. 0.] [0. 1.] [0. 2.] [0. 3.] [0. 4.] [1. 0.] [1. 1.] [1. 2.] [1. 3.] [1. 4.] [2. 0.] [2. 1.] [2. 2.] [2. 3.] [2. 4.]] Created position datasets! Passed all pre-tests for creating spectroscopic datasets Indices: [[0 0 0 0 0 0 0 1 1 1 1 1 1 1] [0 1 2 3 4 5 6 0 1 2 3 4 5 6]] Values: [[0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 1. 1. 1.] [0. 1. 2. 3. 4. 5. 6. 0. 1. 2. 3. 4. 5. 6.]] Created Spectroscopic datasets Created empty dataset for Main Wrote quantity and units attributes to main dataset Successfully linked datasets - dataset should be main now [[0 0] [1 0] [2 0] [3 0] [4 0] [0 1] [1 1] [2 1] [3 1] [4 1] [0 2] [1 2] [2 2] [3 2] [4 2]] [[0 1 2 3 4 5 6 0 1 2 3 4 5 6] [0 0 0 0 0 0 0 1 1 1 1 1 1 1]] h5 group and file OK quantity, units, main_data_name all OK Provided numpy or Dask array for main_data OK so far Passed all pre-tests for creating position datasets Indices: [[0 0] [0 1] [0 2] [0 3] [0 4] [1 0] [1 1] [1 2] [1 3] [1 4] [2 0] [2 1] [2 2] [2 3] [2 4]] Values: [[0. 0.] [0. 1.] [0. 2.] [0. 3.] [0. 4.] [1. 0.] [1. 1.] [1. 2.] [1. 3.] [1. 4.] [2. 0.] [2. 1.] [2. 2.] [2. 3.] [2. 4.]] Created position datasets! Passed all pre-tests for creating spectroscopic datasets Indices: [[0 0 0 0 0 0 0 1 1 1 1 1 1 1] [0 1 2 3 4 5 6 0 1 2 3 4 5 6]] Values: [[0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 1. 1. 1.] [0. 1. 2. 3. 4. 5. 6. 0. 1. 2. 3. 4. 5. 6.]] Created Spectroscopic datasets Created main dataset with provided data Wrote quantity and units attributes to main dataset Successfully linked datasets - dataset should be main now [[0 0] [1 0] [2 0] [3 0] [4 0] [0 1] [1 1] [2 1] [3 1] [4 1] [0 2] [1 2] [2 2] [3 2] [4 2]] [[0 1 2 3 4 5 6 0 1 2 3 4 5 6] [0 0 0 0 0 0 0 1 1 1 1 1 1 1]] h5 group and file OK quantity, units, main_data_name all OK Provided numpy or Dask array for main_data OK so far The shapes of the provided h5 position indices and values are OK The shapes of the provided h5 position indices and values are OK Created main dataset with provided data Wrote quantity and units attributes to main dataset Successfully linked datasets - dataset should be main now [[0 0] [1 0] [2 0] [3 0] [4 0] [0 1] [1 1] [2 1] [3 1] [4 1] [0 2] [1 2] [2 2] [3 2] [4 2]] [[0 1 2 3 4 5 6 0 1 2 3 4 5 6] [0 0 0 0 0 0 0 1 1 1 1 1 1 1]] h5 group and file OK quantity, units, main_data_name all OK Provided numpy or Dask array for main_data OK so far The shapes of the provided h5 position indices and values are OK Need to copy over ancillary datasets: and to destination group: which is in a different HDF5 file Creating new HDF5 dataset named: Position_Indices at: with kwargs: {'shape': (15, 2), 'dtype': dtype('uint32'), 'compression': None, 'chunks': None} dask.array will copy data from source dataset to new dataset Copying simple attributes of original dataset: to destination dataset: Creating new HDF5 dataset named: Position_Values at: with kwargs: {'shape': (15, 2), 'dtype': dtype(' to destination dataset: The shapes of the provided h5 position indices and values are OK Need to copy over ancillary datasets: and to destination group: which is in a different HDF5 file Creating new HDF5 dataset named: Spectroscopic_Indices at: with kwargs: {'shape': (2, 14), 'dtype': dtype('uint32'), 'compression': None, 'chunks': None} dask.array will copy data from source dataset to new dataset Copying simple attributes of original dataset: to destination dataset: Creating new HDF5 dataset named: Spectroscopic_Values at: with kwargs: {'shape': (2, 14), 'dtype': dtype(' to destination dataset: Created main dataset with provided data Wrote quantity and units attributes to main dataset Successfully linked datasets - dataset should be main now [[0 0] [1 0] [2 0] [3 0] [4 0] [0 1] [1 1] [2 1] [3 1] [4 1] [0 2] [1 2] [2 2] [3 2] [4 2]] [[0 1 2 3 4 5 6 0 1 2 3 4 5 6] [0 0 0 0 0 0 0 1 1 1 1 1 1 1]] h5 group and file OK quantity, units, main_data_name all OKok test_write_main_existing_pos_aux_diff_file (tests.io.hdf_utils.test_model.TestWriteMainDataset.test_write_main_existing_pos_aux_diff_file) ... ok test_write_main_existing_spec_aux (tests.io.hdf_utils.test_model.TestWriteMainDataset.test_write_main_existing_spec_aux) ... ok test_write_main_existing_spec_aux_diff_file (tests.io.hdf_utils.test_model.TestWriteMainDataset.test_write_main_existing_spec_aux_diff_file) ... ok test_existing (tests.io.hdf_utils.test_simple.TestAssignGroupIndex.test_existing) ... ok test_invalid_dtypes (tests.io.hdf_utils.test_simple.TestAssignGroupIndex.test_invalid_dtypes) ... ok test_new (tests.io.hdf_utils.test_simple.TestAssignGroupIndex.test_new) ... ok test_h5_main_non_dset_anc_names (tests.io.hdf_utils.test_simple.TestCheckAndLinkAncillary.test_h5_main_non_dset_anc_names) ... ok test_h5_main_not_dset (tests.io.hdf_utils.test_simple.TestCheckAndLinkAncillary.test_h5_main_not_dset) ... ok test_linking_main_legit_anc_names (tests.io.hdf_utils.test_simple.TestCheckAndLinkAncillary.test_linking_main_legit_anc_names) ... ok test_many_objs_to_many_names (tests.io.hdf_utils.test_simple.TestCheckAndLinkAncillary.test_many_objs_to_many_names) ... ok test_no_anc_refs_provided (tests.io.hdf_utils.test_simple.TestCheckAndLinkAncillary.test_no_anc_refs_provided) ... ok test_not_dset (tests.io.hdf_utils.test_simple.TestCheckAndLinkAncillary.test_not_dset) ... ok test_objs_and_refs_to_names (tests.io.hdf_utils.test_simple.TestCheckAndLinkAncillary.test_objs_and_refs_to_names) ... ok test_one_dset_to_name (tests.io.hdf_utils.test_simple.TestCheckAndLinkAncillary.test_one_dset_to_name) ... ok test_too_many_ancs (tests.io.hdf_utils.test_simple.TestCheckAndLinkAncillary.test_too_many_ancs) ... ok test_too_many_names (tests.io.hdf_utils.test_simple.TestCheckAndLinkAncillary.test_too_many_names) ... ok test_dset_matching_attrs (tests.io.hdf_utils.test_simple.TestCheckForMatchingAttrs.test_dset_matching_attrs) ... ok test_dset_no_attrs (tests.io.hdf_utils.test_simple.TestCheckForMatchingAttrs.test_dset_no_attrs) ... ok test_dset_one_mismatched_attrs (tests.io.hdf_utils.test_simple.TestCheckForMatchingAttrs.test_dset_one_mismatched_attrs) ... ok test_grp (tests.io.hdf_utils.test_simple.TestCheckForMatchingAttrs.test_grp) ... ok test_grp_mismatched_types_01 (tests.io.hdf_utils.test_simple.TestCheckForMatchingAttrs.test_grp_mismatched_types_01) ... ok test_grp_mismatched_types_02 (tests.io.hdf_utils.test_simple.TestCheckForMatchingAttrs.test_grp_mismatched_types_02) ... ok test_grp_mismatched_types_03 (tests.io.hdf_utils.test_simple.TestCheckForMatchingAttrs.test_grp_mismatched_types_03) ... ok test_grp_mismatched_types_04 (tests.io.hdf_utils.test_simple.TestCheckForMatchingAttrs.test_grp_mismatched_types_04) ... ok test_exact_match (tests.io.hdf_utils.test_simple.TestCheckForOld.test_exact_match) ... ok test_exact_match_02 (tests.io.hdf_utils.test_simple.TestCheckForOld.test_exact_match_02) ... ok test_fail_01 (tests.io.hdf_utils.test_simple.TestCheckForOld.test_fail_01) ... ok test_fail_02 (tests.io.hdf_utils.test_simple.TestCheckForOld.test_fail_02) ... ok test_invalid_target_dset (tests.io.hdf_utils.test_simple.TestCheckForOld.test_invalid_target_dset) ... ok test_invalid_types (tests.io.hdf_utils.test_simple.TestCheckForOld.test_invalid_types) ... ok test_subset_but_match (tests.io.hdf_utils.test_simple.TestCheckForOld.test_subset_but_match) ... ok test_valid_target_dset (tests.io.hdf_utils.test_simple.TestCheckForOld.test_valid_target_dset) ... ok test_anc_not_dsets (tests.io.hdf_utils.test_simple.TestCheckIfMain.test_anc_not_dsets) ... ok test_anc_shapes_not_matching (tests.io.hdf_utils.test_simple.TestCheckIfMain.test_anc_shapes_not_matching) ... ok test_illegal_01 (tests.io.hdf_utils.test_simple.TestCheckIfMain.test_illegal_01) ... ok test_invalid_str_attrs (tests.io.hdf_utils.test_simple.TestCheckIfMain.test_invalid_str_attrs) ... ok test_legal (tests.io.hdf_utils.test_simple.TestCheckIfMain.test_legal) ... ok test_missing_str_attrs (tests.io.hdf_utils.test_simple.TestCheckIfMain.test_missing_str_attrs) ... ok test_no_main_attrs (tests.io.hdf_utils.test_simple.TestCopyMainAttributes.test_no_main_attrs) ... ok test_valid (tests.io.hdf_utils.test_simple.TestCopyMainAttributes.test_valid) ... ok test_wrong_objects (tests.io.hdf_utils.test_simple.TestCopyMainAttributes.test_wrong_objects) ... ok test_diff_file_new_attrs_linked_dsets (tests.io.hdf_utils.test_simple.TestCreateEmptyDataset.test_diff_file_new_attrs_linked_dsets) ... ok test_diff_groups (tests.io.hdf_utils.test_simple.TestCreateEmptyDataset.test_diff_groups) ... ok test_existing_dset_name (tests.io.hdf_utils.test_simple.TestCreateEmptyDataset.test_existing_dset_name) ... ok test_invalid_types (tests.io.hdf_utils.test_simple.TestCreateEmptyDataset.test_invalid_types) ... ok test_same_group_new_attrs (tests.io.hdf_utils.test_simple.TestCreateEmptyDataset.test_same_group_new_attrs) ... ok test_create_indexed_group_invalid_types (tests.io.hdf_utils.test_simple.TestCreateIndexedGroup.test_create_indexed_group_invalid_types) ... ok test_empty_base_name (tests.io.hdf_utils.test_simple.TestCreateIndexedGroup.test_empty_base_name) ... ok test_first_group (tests.io.hdf_utils.test_simple.TestCreateIndexedGroup.test_first_group) ... ok test_second (tests.io.hdf_utils.test_simple.TestCreateIndexedGroup.test_second) ... ok test_w_suffix_ (tests.io.hdf_utils.test_simple.TestCreateIndexedGroup.test_w_suffix_) ... ok test_dash_in_name (tests.io.hdf_utils.test_simple.TestCreateResultsGroup.test_dash_in_name) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:778: UserWarning: tool_name should not contain the "-" character. Reformatted name from:Some-Tool to Some_Tool warn('tool_name should not contain the "-" character. Reformatted name from:{} to ' ok test_different_file (tests.io.hdf_utils.test_simple.TestCreateResultsGroup.test_different_file) ... ok test_empty_tool_name (tests.io.hdf_utils.test_simple.TestCreateResultsGroup.test_empty_tool_name) ... ok test_first (tests.io.hdf_utils.test_simple.TestCreateResultsGroup.test_first) ... ok test_invalid_types (tests.io.hdf_utils.test_simple.TestCreateResultsGroup.test_invalid_types) ... ok test_second (tests.io.hdf_utils.test_simple.TestCreateResultsGroup.test_second) ... ok test_legal (tests.io.hdf_utils.test_simple.TestFindResultsGroup.test_legal) ... ok test_no_dset (tests.io.hdf_utils.test_simple.TestFindResultsGroup.test_no_dset) ... ok test_no_such_tool (tests.io.hdf_utils.test_simple.TestFindResultsGroup.test_no_such_tool) ... ok test_not_string (tests.io.hdf_utils.test_simple.TestFindResultsGroup.test_not_string) ... ok test_results_in_diff_file (tests.io.hdf_utils.test_simple.TestFindResultsGroup.test_results_in_diff_file) ... ok test_results_in_diff_file_invalid_type (tests.io.hdf_utils.test_simple.TestFindResultsGroup.test_results_in_diff_file_invalid_type) ... ok test_invalid_type (tests.io.hdf_utils.test_simple.TestGetAllMain.test_invalid_type) ... ok test_legal (tests.io.hdf_utils.test_simple.TestGetAllMain.test_legal) ... ok test_illegal (tests.io.hdf_utils.test_simple.TestGetSourceDataset.test_illegal) ... ok test_invalid_type (tests.io.hdf_utils.test_simple.TestGetSourceDataset.test_invalid_type) ... ok test_legal (tests.io.hdf_utils.test_simple.TestGetSourceDataset.test_legal) ... ok test_anc_args_not_h5_dset (tests.io.hdf_utils.test_simple.TestLinkAsMain.test_anc_args_not_h5_dset) ... ok test_ind_vals_not_same_shape (tests.io.hdf_utils.test_simple.TestLinkAsMain.test_ind_vals_not_same_shape) ... ok test_pos_args_not_h5_dset (tests.io.hdf_utils.test_simple.TestLinkAsMain.test_pos_args_not_h5_dset) ... ok test_typical_attrs_not_specified (tests.io.hdf_utils.test_simple.TestLinkAsMain.test_typical_attrs_not_specified) ... ok test_typical_attrs_specified (tests.io.hdf_utils.test_simple.TestLinkAsMain.test_typical_attrs_specified) ... ok test_blah (tests.io.hdf_utils.test_simple.TestValidateAncDsetAttrs.test_blah) ... ok test_invalid_dtypes (tests.io.hdf_utils.test_simple.TestValidateAncH5Dsets.test_invalid_dtypes) ... ok test_invalid_spec_pos_bool (tests.io.hdf_utils.test_simple.TestValidateAncH5Dsets.test_invalid_spec_pos_bool) ... ok test_mismatched_anc_shapes (tests.io.hdf_utils.test_simple.TestValidateAncH5Dsets.test_mismatched_anc_shapes) ... ok test_valid_shapes (tests.io.hdf_utils.test_simple.TestValidateAncH5Dsets.test_valid_shapes) ... ok test_invalid_dims (tests.io.hdf_utils.test_simple.TestValidateDimsAgainstMAin.test_invalid_dims) ... ok test_invalid_dtypes (tests.io.hdf_utils.test_simple.TestValidateDimsAgainstMAin.test_invalid_dtypes) ... ok test_invalid_main_shape (tests.io.hdf_utils.test_simple.TestValidateDimsAgainstMAin.test_invalid_main_shape) ... ok test_multi_dims (tests.io.hdf_utils.test_simple.TestValidateDimsAgainstMAin.test_multi_dims) ... ok test_single_dim (tests.io.hdf_utils.test_simple.TestValidateDimsAgainstMAin.test_single_dim) ... ok test_illegal (tests.io.hdf_utils.test_simple.TestWriteIndValDsets.test_illegal) ... ok test_legal_bare_minimum_pos_f2s (tests.io.hdf_utils.test_simple.TestWriteIndValDsets.test_legal_bare_minimum_pos_f2s) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_legal_bare_minimum_pos_s2f (tests.io.hdf_utils.test_simple.TestWriteIndValDsets.test_legal_bare_minimum_pos_s2f) ... ok test_legal_bare_minimum_spec_f2s (tests.io.hdf_utils.test_simple.TestWriteIndValDsets.test_legal_bare_minimum_spec_f2s) ... ok test_legal_bare_minimum_spec_s2f (tests.io.hdf_utils.test_simple.TestWriteIndValDsets.test_legal_bare_minimum_spec_s2f) ... ok test_legal_override_steps_offsets_base_name (tests.io.hdf_utils.test_simple.TestWriteIndValDsets.test_legal_override_steps_offsets_base_name) ... ok test_3d_to_1d_pos_fastest_n_slowest (tests.io.hdf_utils.test_simple.TestWriteReducedAncDsets.test_3d_to_1d_pos_fastest_n_slowest) ... ok test_3d_to_1d_spec_fastest (tests.io.hdf_utils.test_simple.TestWriteReducedAncDsets.test_3d_to_1d_spec_fastest) ... ok test_3d_to_1d_spec_fastest_n_slowest (tests.io.hdf_utils.test_simple.TestWriteReducedAncDsets.test_3d_to_1d_spec_fastest_n_slowest) ... ok test_3d_to_1d_spec_slowest (tests.io.hdf_utils.test_simple.TestWriteReducedAncDsets.test_3d_to_1d_spec_slowest) ... ok test_3d_to_2d_spec_fastest_n_slowest (tests.io.hdf_utils.test_simple.TestWriteReducedAncDsets.test_3d_to_2d_spec_fastest_n_slowest) ... ok test_spec_1d_to_0d (tests.io.hdf_utils.test_simple.TestWriteReducedAncDsets.test_spec_1d_to_0d) ... ok test_spec_2d_to_1d (tests.io.hdf_utils.test_simple.TestWriteReducedAncDsets.test_spec_2d_to_1d) ... ok test_spec_2d_to_1d_new_file (tests.io.hdf_utils.test_simple.TestWriteReducedAncDsets.test_spec_2d_to_1d_new_file) ... ok test_all_dsets_as_dask (tests.io.test_array_translator.TestBaseOperations.test_all_dsets_as_dask) ... /usr/lib/python3/dist-packages/sidpy/sid/translator.py:42: FutureWarning: Consider using sidpy.Reader instead of sidpy.Translator if possible and contribute your reader to ScopeReaders warn('Consider using sidpy.Reader instead of sidpy.Translator if ' ok test_preexisting_file_OK (tests.io.test_array_translator.TestBaseOperations.test_preexisting_file_OK) ... /usr/lib/python3/dist-packages/sidpy/sid/translator.py:42: FutureWarning: Consider using sidpy.Reader instead of sidpy.Translator if possible and contribute your reader to ScopeReaders warn('Consider using sidpy.Reader instead of sidpy.Translator if ' /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_quick_dask_main_translation (tests.io.test_array_translator.TestBaseOperations.test_quick_dask_main_translation) ... ok test_quick_numpy_tranlsation_plus_parms (tests.io.test_array_translator.TestBaseOperations.test_quick_numpy_tranlsation_plus_parms) ... /usr/lib/python3/dist-packages/sidpy/sid/translator.py:42: FutureWarning: Consider using sidpy.Reader instead of sidpy.Translator if possible and contribute your reader to ScopeReaders warn('Consider using sidpy.Reader instead of sidpy.Translator if ' /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_quick_numpy_translation (tests.io.test_array_translator.TestBaseOperations.test_quick_numpy_translation) ... ok test_empty_name (tests.io.test_array_translator.TestExtraDatasets.test_empty_name) ... ok test_not_arrays (tests.io.test_array_translator.TestExtraDatasets.test_not_arrays) ... ok test_not_dicts (tests.io.test_array_translator.TestExtraDatasets.test_not_dicts) ... ok test_not_str_names (tests.io.test_array_translator.TestExtraDatasets.test_not_str_names) ... ok test_reserved_names (tests.io.test_array_translator.TestExtraDatasets.test_reserved_names) ... ok test_object_single (tests.io.test_array_translator.TestIllegalDimensions.test_object_single) ... ok test_objects (tests.io.test_array_translator.TestIllegalDimensions.test_objects) ... ok test_position (tests.io.test_array_translator.TestIllegalDimensions.test_position) ... ok test_spec (tests.io.test_array_translator.TestIllegalDimensions.test_spec) ... ok test_main_dset_1D (tests.io.test_array_translator.TestIllegalMainDataset.test_main_dset_1D) ... ok test_main_dset_2D (tests.io.test_array_translator.TestIllegalMainDataset.test_main_dset_2D) ... ok test_not_numpy_or_dask_array_main (tests.io.test_array_translator.TestIllegalMainDataset.test_not_numpy_or_dask_array_main) ... ok test_not_strings (tests.io.test_array_translator.TestIllegalStringParms.test_not_strings) ... ok test_dim_type_invalid_comparison (tests.io.test_dimension.TestDimType.test_dim_type_invalid_comparison) ... ok test_dim_type_valid_comparison (tests.io.test_dimension.TestDimType.test_dim_type_valid_comparison) ... ok test_default_mode (tests.io.test_dimension.TestDimension.test_default_mode) ... ok test_illegal_instantiation (tests.io.test_dimension.TestDimension.test_illegal_instantiation) ... ok test_invalid_mode (tests.io.test_dimension.TestDimension.test_invalid_mode) ... ok test_repr (tests.io.test_dimension.TestDimension.test_repr) ... ok test_values_as_array (tests.io.test_dimension.TestDimension.test_values_as_array) ... ok test_values_as_length (tests.io.test_dimension.TestDimension.test_values_as_length) ... ok test_basic_translate (tests.io.test_image_translator.TestBinning.test_basic_translate) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/image.py:48: FutureWarning: pyUSID.ImageTranslator will be removed shortly. Consider using SciFiReaders.ImageReader instead warn("pyUSID.ImageTranslator will be removed shortly. Consider using " ok test_custom_interp (tests.io.test_image_translator.TestBinning.test_custom_interp) ... ok test_float_parms (tests.io.test_image_translator.TestBinning.test_float_parms) ... ok test_invalid_dtype (tests.io.test_image_translator.TestBinning.test_invalid_dtype) ... ok test_invalid_interp (tests.io.test_image_translator.TestBinning.test_invalid_interp) ... ok test_neg_parms (tests.io.test_image_translator.TestBinning.test_neg_parms) ... ok test_single_default_interp (tests.io.test_image_translator.TestBinning.test_single_default_interp) ... ok test_too_many_dims (tests.io.test_image_translator.TestBinning.test_too_many_dims) ... ok test_tuple_default_interp (tests.io.test_image_translator.TestBinning.test_tuple_default_interp) ... ok test_basic_translate (tests.io.test_image_translator.TestFile.test_basic_translate) ... ok test_invalid_h5_path (tests.io.test_image_translator.TestFile.test_invalid_h5_path) ... ok test_output_h5_file_already_exists (tests.io.test_image_translator.TestFile.test_output_h5_file_already_exists) ... ok test_path_does_not_exist (tests.io.test_image_translator.TestFile.test_path_does_not_exist) ... ok test_path_not_str (tests.io.test_image_translator.TestFile.test_path_not_str) ... ok test_valid_h5_path (tests.io.test_image_translator.TestFile.test_valid_h5_path) ... ok test_basic_translate (tests.io.test_image_translator.TestImageTranslator.test_basic_translate) ... ok test_basic_translate (tests.io.test_image_translator.TestNormalization.test_basic_translate) ... ok test_normalize_and_default_interp (tests.io.test_image_translator.TestNormalization.test_normalize_and_default_interp) ... ok test_normalize_only (tests.io.test_image_translator.TestNormalization.test_normalize_only) ... ok test_color (tests.io.test_image_translator.TestReadImage.test_color) ... ok test_color_to_bw_image (tests.io.test_image_translator.TestReadImage.test_color_to_bw_image) ... ok test_text_complex_to_pillow (tests.io.test_image_translator.TestReadImage.test_text_complex_to_pillow) ... ok test_text_to_numpy_complex (tests.io.test_image_translator.TestReadImage.test_text_to_numpy_complex) ... ok test_text_to_numpy_simple (tests.io.test_image_translator.TestReadImage.test_text_to_numpy_simple) ... ok test_to_numpy (tests.io.test_image_translator.TestReadImage.test_to_numpy) ... ok test_to_pillow (tests.io.test_image_translator.TestReadImage.test_to_pillow) ... ok test_copy_reg_ref_reduced_dim (tests.io.test_reg_ref.TestRegRef.test_copy_reg_ref_reduced_dim) ... ok test_correct_USIDataset (tests.io.test_usi_dataset.TestEquality.test_correct_USIDataset) ... ok test_correct_h5_dataset (tests.io.test_usi_dataset.TestEquality.test_correct_h5_dataset) ... ok test_incorrect_USIDataset (tests.io.test_usi_dataset.TestEquality.test_incorrect_USIDataset) ... ok test_incorrect_h5_dataset (tests.io.test_usi_dataset.TestEquality.test_incorrect_h5_dataset) ... ok test_incorrect_object (tests.io.test_usi_dataset.TestEquality.test_incorrect_object) ... ok test_all_dims_sliced (tests.io.test_usi_dataset.TestGetDimsForSliceReal.test_all_dims_sliced) ... ok test_both_pos_dim_sliced (tests.io.test_usi_dataset.TestGetDimsForSliceReal.test_both_pos_dim_sliced) ... ok test_both_spec_dim_sliced (tests.io.test_usi_dataset.TestGetDimsForSliceReal.test_both_spec_dim_sliced) ... ok test_empty (tests.io.test_usi_dataset.TestGetDimsForSliceReal.test_empty) ... ok test_one_pos_one_spec_dims_sliced (tests.io.test_usi_dataset.TestGetDimsForSliceReal.test_one_pos_one_spec_dims_sliced) ... ok test_single_pos_dim_sliced (tests.io.test_usi_dataset.TestGetDimsForSliceReal.test_single_pos_dim_sliced) ... ok test_single_pos_dim_truncated (tests.io.test_usi_dataset.TestGetDimsForSliceReal.test_single_pos_dim_truncated) ... ok test_single_spec_dim_sliced (tests.io.test_usi_dataset.TestGetDimsForSliceReal.test_single_spec_dim_sliced) ... ok test_single_spec_dim_truncated (tests.io.test_usi_dataset.TestGetDimsForSliceReal.test_single_spec_dim_truncated) ... ok test_sorted_and_unsorted (tests.io.test_usi_dataset.TestGetNDimFormExistsReal.test_sorted_and_unsorted) ... ok test_get_pos_values (tests.io.test_usi_dataset.TestGetUnitValuesReal.test_get_pos_values) ... ok test_get_pos_values_illegal (tests.io.test_usi_dataset.TestGetUnitValuesReal.test_get_pos_values_illegal) ... ok test_get_spec_values (tests.io.test_usi_dataset.TestGetUnitValuesReal.test_get_spec_values) ... ok test_get_spec_values_illegal (tests.io.test_usi_dataset.TestGetUnitValuesReal.test_get_spec_values_illegal) ... ok test_both_pos_removed (tests.io.test_usi_dataset.TestPosSpecSlicesReal.test_both_pos_removed) ... ok test_empty_dict (tests.io.test_usi_dataset.TestPosSpecSlicesReal.test_empty_dict) ... ok test_incorrect_type (tests.io.test_usi_dataset.TestPosSpecSlicesReal.test_incorrect_type) ... ok test_negative_index (tests.io.test_usi_dataset.TestPosSpecSlicesReal.test_negative_index) ... ok test_non_existent_dim (tests.io.test_usi_dataset.TestPosSpecSlicesReal.test_non_existent_dim) ... ok test_one_pos_dim_removed (tests.io.test_usi_dataset.TestPosSpecSlicesReal.test_one_pos_dim_removed) ... ok test_one_pos_dim_sliced (tests.io.test_usi_dataset.TestPosSpecSlicesReal.test_one_pos_dim_sliced) ... ok test_out_of_bounds (tests.io.test_usi_dataset.TestPosSpecSlicesReal.test_out_of_bounds) ... ok test_pos_and_spec_sliced_list (tests.io.test_usi_dataset.TestPosSpecSlicesReal.test_pos_and_spec_sliced_list) ... ok test_two_pos_dim_sliced (tests.io.test_usi_dataset.TestPosSpecSlicesReal.test_two_pos_dim_sliced) ... ok test_two_pos_dim_sliced_list (tests.io.test_usi_dataset.TestPosSpecSlicesReal.test_two_pos_dim_sliced_list) ... ok test_one_pos (tests.io.test_usi_dataset.TestSimpleStaticVisualizationReal.test_one_pos) ... ok test_one_pos_one_spec (tests.io.test_usi_dataset.TestSimpleStaticVisualizationReal.test_one_pos_one_spec) ... ok test_one_spec (tests.io.test_usi_dataset.TestSimpleStaticVisualizationReal.test_one_spec) ... ok test_two_pos_simple (tests.io.test_usi_dataset.TestSimpleStaticVisualizationReal.test_two_pos_simple) ... ok test_two_spec (tests.io.test_usi_dataset.TestSimpleStaticVisualizationReal.test_two_spec) ... ok test_all_but_one_dims_sliced_2d_dask (tests.io.test_usi_dataset.TestSliceReal.test_all_but_one_dims_sliced_2d_dask) ... ok test_all_but_one_dims_sliced_2d_numpy (tests.io.test_usi_dataset.TestSliceReal.test_all_but_one_dims_sliced_2d_numpy) ... ok test_all_but_one_dims_sliced_nd_dask (tests.io.test_usi_dataset.TestSliceReal.test_all_but_one_dims_sliced_nd_dask) ... ok test_all_but_one_dims_sliced_nd_numpy (tests.io.test_usi_dataset.TestSliceReal.test_all_but_one_dims_sliced_nd_numpy) ... ok test_all_dims_sliced_2d_dask (tests.io.test_usi_dataset.TestSliceReal.test_all_dims_sliced_2d_dask) ... ok test_all_dims_sliced_2d_numpy (tests.io.test_usi_dataset.TestSliceReal.test_all_dims_sliced_2d_numpy) ... ok test_all_dims_sliced_nd_dask (tests.io.test_usi_dataset.TestSliceReal.test_all_dims_sliced_nd_dask) ... ok test_all_dims_sliced_nd_numpy (tests.io.test_usi_dataset.TestSliceReal.test_all_dims_sliced_nd_numpy) ... ok test_both_pos_removed_2d_dask (tests.io.test_usi_dataset.TestSliceReal.test_both_pos_removed_2d_dask) ... ok test_both_pos_removed_2d_numpy (tests.io.test_usi_dataset.TestSliceReal.test_both_pos_removed_2d_numpy) ... ok test_both_pos_removed_nd_dask (tests.io.test_usi_dataset.TestSliceReal.test_both_pos_removed_nd_dask) ... ok test_both_pos_removed_nd_numpy (tests.io.test_usi_dataset.TestSliceReal.test_both_pos_removed_nd_numpy) ... ok test_empty_2d_dask (tests.io.test_usi_dataset.TestSliceReal.test_empty_2d_dask) ... ok test_empty_2d_numpy (tests.io.test_usi_dataset.TestSliceReal.test_empty_2d_numpy) ... ok test_empty_nd_dask (tests.io.test_usi_dataset.TestSliceReal.test_empty_nd_dask) ... ok test_empty_nd_numpy (tests.io.test_usi_dataset.TestSliceReal.test_empty_nd_numpy) ... ok test_incorrect_type (tests.io.test_usi_dataset.TestSliceReal.test_incorrect_type) ... ok test_negative_index_2d_numpy (tests.io.test_usi_dataset.TestSliceReal.test_negative_index_2d_numpy) ... ok test_negative_index_nd_dask (tests.io.test_usi_dataset.TestSliceReal.test_negative_index_nd_dask) ... ok test_negative_index_nd_numpy (tests.io.test_usi_dataset.TestSliceReal.test_negative_index_nd_numpy) ... ok test_non_existent_dim (tests.io.test_usi_dataset.TestSliceReal.test_non_existent_dim) ... ok test_one_pos_dim_removed_2d_dask (tests.io.test_usi_dataset.TestSliceReal.test_one_pos_dim_removed_2d_dask) ... ok test_one_pos_dim_removed_2d_numpy (tests.io.test_usi_dataset.TestSliceReal.test_one_pos_dim_removed_2d_numpy) ... ok test_one_pos_dim_removed_nd_dask (tests.io.test_usi_dataset.TestSliceReal.test_one_pos_dim_removed_nd_dask) ... ok test_one_pos_dim_removed_nd_numpy (tests.io.test_usi_dataset.TestSliceReal.test_one_pos_dim_removed_nd_numpy) ... ok test_one_pos_dim_sliced_2d_dask (tests.io.test_usi_dataset.TestSliceReal.test_one_pos_dim_sliced_2d_dask) ... ok test_one_pos_dim_sliced_2d_numpy (tests.io.test_usi_dataset.TestSliceReal.test_one_pos_dim_sliced_2d_numpy) ... ok test_one_pos_dim_sliced_nd_dask (tests.io.test_usi_dataset.TestSliceReal.test_one_pos_dim_sliced_nd_dask) ... ok test_one_pos_dim_sliced_nd_numpy (tests.io.test_usi_dataset.TestSliceReal.test_one_pos_dim_sliced_nd_numpy) ... ok test_out_of_bounds (tests.io.test_usi_dataset.TestSliceReal.test_out_of_bounds) ... ok test_pos_and_spec_sliced_list_2d_dask (tests.io.test_usi_dataset.TestSliceReal.test_pos_and_spec_sliced_list_2d_dask) ... ok test_pos_and_spec_sliced_list_2d_numpy (tests.io.test_usi_dataset.TestSliceReal.test_pos_and_spec_sliced_list_2d_numpy) ... ok test_pos_and_spec_sliced_list_nd_dask (tests.io.test_usi_dataset.TestSliceReal.test_pos_and_spec_sliced_list_nd_dask) ... ok test_pos_and_spec_sliced_list_nd_numpy (tests.io.test_usi_dataset.TestSliceReal.test_pos_and_spec_sliced_list_nd_numpy) ... ok test_two_pos_dim_sliced_2d_dask (tests.io.test_usi_dataset.TestSliceReal.test_two_pos_dim_sliced_2d_dask) ... ok test_two_pos_dim_sliced_2d_numpy (tests.io.test_usi_dataset.TestSliceReal.test_two_pos_dim_sliced_2d_numpy) ... ok test_two_pos_dim_sliced_list_2d_dask (tests.io.test_usi_dataset.TestSliceReal.test_two_pos_dim_sliced_list_2d_dask) ... ok test_two_pos_dim_sliced_list_2d_numpy (tests.io.test_usi_dataset.TestSliceReal.test_two_pos_dim_sliced_list_2d_numpy) ... ok test_two_pos_dim_sliced_list_nd_dask (tests.io.test_usi_dataset.TestSliceReal.test_two_pos_dim_sliced_list_nd_dask) ... ok test_two_pos_dim_sliced_list_nd_numpy (tests.io.test_usi_dataset.TestSliceReal.test_two_pos_dim_sliced_list_nd_numpy) ... ok test_two_pos_dim_sliced_nd_dask (tests.io.test_usi_dataset.TestSliceReal.test_two_pos_dim_sliced_nd_dask) ... ok test_two_pos_dim_sliced_nd_numpy (tests.io.test_usi_dataset.TestSliceReal.test_two_pos_dim_sliced_nd_numpy) ... ok test_get_current_sorting (tests.io.test_usi_dataset.TestSortingReal.test_get_current_sorting) ... ok test_toggle_sorting (tests.io.test_usi_dataset.TestSortingReal.test_toggle_sorting) ... ok test_string_representation (tests.io.test_usi_dataset.TestStringRepr.test_string_representation) ... ok test_1D (tests.io.test_write_utils.TestBuildIndValMatrices.test_1D) ... ok test_1D_pos (tests.io.test_write_utils.TestBuildIndValMatrices.test_1D_pos) ... ok test_3D (tests.io.test_write_utils.TestBuildIndValMatrices.test_3D) ... ok test_empty (tests.io.test_write_utils.TestBuildIndValMatrices.test_empty) ... ok test_invalid_inputs (tests.io.test_write_utils.TestBuildIndValMatrices.test_invalid_inputs) ... ok test_invalid_types (tests.io.test_write_utils.TestCalcChunks.test_invalid_types) ... ok test_no_unit_chunk (tests.io.test_write_utils.TestCalcChunks.test_no_unit_chunk) ... ok test_no_unit_chunk_max_mem (tests.io.test_write_utils.TestCalcChunks.test_no_unit_chunk_max_mem) ... ok test_shape_mismatch (tests.io.test_write_utils.TestCalcChunks.test_shape_mismatch) ... ok test_unit_chunk (tests.io.test_write_utils.TestCalcChunks.test_unit_chunk) ... ok test_unit_chunk_max_mem (tests.io.test_write_utils.TestCalcChunks.test_unit_chunk_max_mem) ... ok test_unit_not_iterable (tests.io.test_write_utils.TestCalcChunks.test_unit_not_iterable) ... ok test_invalid_inputs (tests.io.test_write_utils.TestCreateSpecIndsFromVals.test_invalid_inputs) ... ok test_legal (tests.io.test_write_utils.TestCreateSpecIndsFromVals.test_legal) ... ok test_legal_multi_dim (tests.io.test_write_utils.TestGetAuxDsetSlicing.test_legal_multi_dim) ... ok test_legal_single_dim (tests.io.test_write_utils.TestGetAuxDsetSlicing.test_legal_single_dim) ... ok test_odd_input (tests.io.test_write_utils.TestGetAuxDsetSlicing.test_odd_input) ... ok test_2_dims (tests.io.test_write_utils.TestMakeIndicesMatrix.test_2_dims) ... ok test_3_dims (tests.io.test_write_utils.TestMakeIndicesMatrix.test_3_dims) ... ok test_dim_w_val_1 (tests.io.test_write_utils.TestMakeIndicesMatrix.test_dim_w_val_1) ... ok test_empty_list (tests.io.test_write_utils.TestMakeIndicesMatrix.test_empty_list) ... ok test_just_size_of_one_dim (tests.io.test_write_utils.TestMakeIndicesMatrix.test_just_size_of_one_dim) ... ok test_matrix_1_dims (tests.io.test_write_utils.TestMakeIndicesMatrix.test_matrix_1_dims) ... ok test_non_int_dim_sizes (tests.io.test_write_utils.TestMakeIndicesMatrix.test_non_int_dim_sizes) ... ok test_single_value_dimension_int_input (tests.io.test_write_utils.TestMakeIndicesMatrix.test_single_value_dimension_int_input) ... ok test_single_value_dimension_list_input (tests.io.test_write_utils.TestMakeIndicesMatrix.test_single_value_dimension_list_input) ... ok test_weird_inputs (tests.io.test_write_utils.TestMakeIndicesMatrix.test_weird_inputs) ... ok test_compute (tests.processing.test_process.TestCoreProcessNoTest.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_tfunc (tests.processing.test_process.TestCoreProcessNoTest.test_tfunc) ... ok test_compute (tests.processing.test_process.TestCoreProcessWDuplicateResultsOverride.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' Provided numpy or Dask array for main_data OK so far The shapes of the provided h5 position indices and values are OK Passed all pre-tests for creating spectroscopic datasets Indices: [[0 0 0 0 0 0 0 1 1 1 1 1 1 1] [0 1 2 3 4 5 6 0 1 2 3 4 5 6]] Values: [[0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 1. 1. 1.] [0. 1. 2. 3. 4. 5. 6. 0. 1. 2. 3. 4. 5. 6.]] Created Spectroscopic datasets Created main dataset with provided data Wrote quantity and units attributes to main dataset Successfully linked datasets - dataset should be main now [[0 0] [1 0] [2 0] [3 0] [4 0] [0 1] [1 1] [2 1] [3 1] [4 1] [0 2] [1 2] [2 2] [3 2] [4 2]] [[0 1 2 3 4 5 6 0 1 2 3 4 5 6] [0 0 0 0 0 0 0 1 1 1 1 1 1 1]] h5 group and file OK quantity, units, main_data_name all OK Provided numpy or Dask array for main_data OK so far The shapes of the provided h5 position indices and values are OK Need to copy over ancillary datasets: and to destination group: which is in a different HDF5 file Creating new HDF5 dataset named: Position_Indices at: with kwargs: {'shape': (15, 2), 'dtype': dtype('uint32'), 'compression': None, 'chunks': None} dask.array will copy data from source dataset to new dataset Copying simple attributes of original dataset: to destination dataset: Creating new HDF5 dataset named: Position_Values at: with kwargs: {'shape': (15, 2), 'dtype': dtype(' to destination dataset: Passed all pre-tests for creating spectroscopic datasets Indices: [[0 0 0 0 0 0 0 1 1 1 1 1 1 1] [0 1 2 3 4 5 6 0 1 2 3 4 5 6]] Values: [[0. 0. 0. 0. 0. 0. 0. 1. 1. 1. 1. 1. 1. 1.] [0. 1. 2. 3. 4. 5. 6. 0. 1. 2. 3. 4. 5. 6.]] Created Spectroscopic datasets Created main dataset with provided data Wrote quantity and units attributes to main dataset Successfully linked datasets - dataset should be main now [[0 0] [1 0] [2 0] [3 0] [4 0] [0 1] [1 1] [2 1] [3 1] [4 1] [0 2] [1 2] [2 2] [3 2] [4 2]] [[0 1 2 3 4 5 6 0 1 2 3 4 5 6] [0 0 0 0 0 0 0 1 1 1 1 1 1 1]] h5 group and file OK quantity, units, main_data_name all OK Provided numpy or Dask array for main_data OK so far Passed all pre-tests for creating position datasets Indices: [[0 0] [0 1] [0 2] [0 3] [0 4] [1 0] [1 1] [1 2] [1 3] [1 4] [2 0] [2 1] [2 2] [2 3] [2 4]] Values: [[0. 0.] [0. 1.] [0. 2.] [0. 3.] [0. 4.] [1. 0.] [1. 1.] [1. 2.] [1. 3.] [1. 4.] [2. 0.] [2. 1.] [2. 2.] [2. 3.] [2. 4.]] Created position datasets! The shapes of the provided h5 position indices and values are OK Created main dataset with provided data Wrote quantity and units attributes to main dataset Successfully linked datasets - dataset should be main now [[0 0] [1 0] [2 0] [3 0] [4 0] [0 1] [1 1] [2 1] [3 1] [4 1] [0 2] [1 2] [2 2] [3 2] [4 2]] [[0 1 2 3 4 5 6 0 1 2 3 4 5 6] [0 0 0 0 0 0 0 1 1 1 1 1 1 1]] h5 group and file OK quantity, units, main_data_name all OK Provided numpy or Dask array for main_data OK so far Passed all pre-tests for creating position datasets Indices: [[0 0] [0 1] [0 2] [0 3] [0 4] [1 0] [1 1] [1 2] [1 3] [1 4] [2 0] [2 1] [2 2] [2 3] [2 4]] Values: [[0. 0.] [0. 1.] [0. 2.] [0. 3.] [0. 4.] [1. 0.] [1. 1.] [1. 2.] [1. 3.] [1. 4.] [2. 0.] [2. 1.] [2. 2.] [2. 3.] [2. 4.]] Created position datasets! The shapes of the provided h5 position indices and values are OK Need to copy over ancillary datasets: and to destination group: which is in a different HDF5 file Creating new HDF5 dataset named: Spectroscopic_Indices at: with kwargs: {'shape': (2, 14), 'dtype': dtype('uint32'), 'compression': None, 'chunks': None} dask.array will copy data from source dataset to new dataset Copying simple attributes of original dataset: to destination dataset: Creating new HDF5 dataset named: Spectroscopic_Values at: with kwargs: {'shape': (2, 14), 'dtype': dtype(' to destination dataset: Created main dataset with provided data Wrote quantity and units attributes to main dataset Successfully linked datasets - dataset should be main now [[0 0] [1 0] [2 0] [3 0] [4 0] [0 1] [1 1] [2 1] [3 1] [4 1] [0 2] [1 2] [2 2] [3 2] [4 2]] [[0 1 2 3 4 5 6 0 1 2 3 4 5 6] [0 0 0 0 0 0 0 1 1 1 1 1 1 1]] ['Meh'] ['Meh'] [[0 0] [1 0] [2 0] [0 1] [1 1] [2 1]] [[0 1 2 0 1 2] [0 0 0 1 1 1]] [[0 1 0 1 0 1] [0 0 1 1 2 2]] [[0 0] [1 0] [2 0] [3 0] [4 0] [0 1] [1 1] [2 1] [3 1] [4 1] [0 2] [1 2] [2 2] [3 2] [4 2]] [[0 1 2 3 4 5 6 0 1 2 3 4 5 6] [0 0 0 0 0 0 0 1 1 1 1 1 1 1]] [[0 0] [1 0] [2 0] [3 0] [4 0] [0 1] [1 1] [2 1] [3 1] [4 1] [0 2] [1 2] [2 2] [3 2] [4 2]] [[0 1 2 3 4 5 6 0 1 2 3 4 5 6] [0 0 0 0 0 0 0 1 1 1 1 1 1 1]] [[0 0] [1 0] [2 0] [3 0] [4 0] [0 1] [1 1] [2 1] [3 1] [4 1] [0 2] [1 2] [2 2] [3 2] [4 2]] [[0 1 2 3 4 5 6 0 1 2 3 4 5 6] [0 0 0 0 0 0 0 1 1 1 1 1 1 1]] [[0 0] [1 0] [2 0] [3 0] [4 0] [0 1] [1 1] [2 1] [3 1] [4 1] [0 2] [1 2] [2 2] [3 2] [4 2]] [[0 1 2 3 4 5 6 0 1 2 3 4 5 6] [0 0 0 0 0 0 0 1 1 1 1 1 1 1]] [[0 0] [1 0] [2 0] [3 0] [4 0] [0 1] [1 1] [2 1] [3 1] [4 1] [0 2] [1 2] [2 2] [3 2] [4 2]] [[0 1 2 3 4 5 6 0 1 2 3 4 5 6] [0 0 0 0 0 0 0 1 1 1 1 1 1 1]] [[0]] False False 0 0 254 254 [[ 0 0] [ 1 0] [ 2 0] ... [125 255] [126 255] [127 255]] [[0]] [2 2] [2 2] NEAREST NEAREST False False 0 0 254 254 [[ 0 0] [ 1 0] [ 2 0] ... [ 61 127] [ 62 127] [ 63 127]] [[0]] [2 2] [2 2] BICUBIC BICUBIC False False 36 36 226 226 [[ 0 0] [ 1 0] [ 2 0] ... [ 61 127] [ 62 127] [ 63 127]] [[0]] [1 2] [1 2] BICUBIC BICUBIC False False 0 0 255 255 [[ 0 0] [ 1 0] [ 2 0] ... [125 127] [126 127] [127 127]] [[0]] False False 0 0 254 254 [[ 0 0] [ 1 0] [ 2 0] ... [125 255] [126 255] [127 255]] [[0]] False False 0 0 254 254 [[ 0 0] [ 1 0] [ 2 0] ... [125 255] [126 255] [127 255]] [[0]] False False 0 0 254 254 [[ 0 0] [ 1 0] [ 2 0] ... [125 255] [126 255] [127 255]] [[0]] False False 0 0 254 254 [[ 0 0] [ 1 0] [ 2 0] ... [125 255] [126 255] [127 255]] [[0]] False False 0 0 254 254 [[ 0 0] [ 1 0] [ 2 0] ... [125 255] [126 255] [127 255]] [[0]] [2 2] [2 2] BICUBIC BICUBIC True True 0.0 0.0 1.0 1.0 [[ 0 0] [ 1 0] [ 2 0] ... [ 61 127] [ 62 127] [ 63 127]] [[0]] True True 0.0 0.0 1.0 1.0 [[ 0 0] [ 1 0] [ 2 0] ... [125 255] [126 255] [127 255]] (3, 5, 2, 7) Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file This class does NOT support interruption and resuming of computations. In order to enable this feature, simply implement the _get_existing_datasets() function Rank 0 - 100% complete. Time remaining: 0.0 msec Finished processing the entire dataset! Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_compute (tests.processing.test_process.TestCoreProcessWExistResultsDiffParms.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_duplicate_partial_results (tests.processing.test_process.TestCoreProcessWExistResultsDiffParms.test_duplicate_partial_results) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_compute (tests.processing.test_process.TestCoreProcessWExistingPartResults.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_compute (tests.processing.test_process.TestCoreProcessWExistingResults.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_compute (tests.processing.test_process.TestCoreProcessWTest.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_tfunc (tests.processing.test_process.TestCoreProcessWTest.test_tfunc) ... ok test_invalid_parms_dict (tests.processing.test_process.TestInvalidInitialization.test_invalid_parms_dict) ... ok test_invalid_process_name (tests.processing.test_process.TestInvalidInitialization.test_invalid_process_name) ... ok test_no_map_func (tests.processing.test_process.TestInvalidInitialization.test_no_map_func) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_none_parms_dict (tests.processing.test_process.TestInvalidInitialization.test_none_parms_dict) ... ok test_not_main_dataset (tests.processing.test_process.TestInvalidInitialization.test_not_main_dataset) ... ok test_read_only_h5_main (tests.processing.test_process.TestInvalidInitialization.test_read_only_h5_main) ... ok test_read_only_h5_parent_group (tests.processing.test_process.TestInvalidInitialization.test_read_only_h5_parent_group) ... ok test_compute (tests.processing.test_process.TestMultiBatchCompute.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_tfunc (tests.processing.test_process.TestMultiBatchCompute.test_tfunc) ... ok test_compute (tests.processing.test_process.TestProcLastPartialResult.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' Note: Mean_Val has already been performed with the same parameters before. These results will be returned by compute() by default. Set override to True to force fresh computation [] This class (likely) supports interruption and resuming of computations! If you are operating in a python console, press Ctrl+C or Cmd+C to abort If you are in a Jupyter notebook, click on "Kernel">>"Interrupt" If you are operating on a cluster and your job gets killed, re-run the job to resume Rank 0 - 100% complete. Time remaining: 0.0 msec Finished processing the entire dataset! Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file This class (likely) supports interruption and resuming of computations! If you are operating in a python console, press Ctrl+C or Cmd+C to abort If you are in a Jupyter notebook, click on "Kernel">>"Interrupt" If you are operating on a cluster and your job gets killed, re-run the job to resume Rank 0 - 100% complete. Time remaining: 0.0 msec Finished processing the entire dataset! Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file Note: Mean_Val has already been performed PARTIALLY with the same parameters. compute() will resuming computation in the last group below. To choose a different group call use_patial_computation()Set override to True to force fresh computation or resume from a data group besides the last in the list. [] Resuming computation in group: /Raw_Measurement/source_main-Mean_Val_000 Resuming computation. 46% completed already This class (likely) supports interruption and resuming of computations! If you are operating in a python console, press Ctrl+C or Cmd+C to abort If you are in a Jupyter notebook, click on "Kernel">>"Interrupt" If you are operating on a cluster and your job gets killed, re-run the job to resume Rank 0 - 100% complete. Time remaining: 0.0 msec Finished processing the entire dataset! Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file Note: Mean_Val has already been performed with the same parameters before. These results will be returned by compute() by default. Set override to True to force fresh computation [] Returned previously computed results at /Raw_Measurement/source_main-Mean_Val_000 Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file This class does NOT support interruption and resuming of computations. In order to enable this feature, simply implement the _get_existing_datasets() function Rank 0 - 100% complete. Time remaining: 0.0 msec Finished processing the entire dataset! Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file This class does NOT support interruption and resuming of computations. In order to enable this feature, simply implement the _get_existing_datasets() function Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file Creating HDF5 group and datasets to hold results Among the 15 positions in this dataset, the following positions need to be computed: [ 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14]. Each rank is required to work on 15 of the 15 (remaining) positions in this dataset. Rank 0 will read positions 0 to 15 of 15 This class does NOT support interruption and resuming of computations. In order to enable this feature, simply implement the _get_existing_datasets() function Rank: 0 - with nothing loaded has 1.67 GB free memory Rank 0 will read positions: [0 1 2 3 4 5] Rank 0 will read 672.0 bytes of the SOURCE dataset. Rank: 0 available memory: 1.67 GB. 3 workers on this socket will in total read ~ 1.97 kB. Rank: 0 - with only raw data loaded has 1.67 GB free memory Rank 0 at Process class' default _unit_computation() that will call parallel_compute() Number of CPU free cores set to: 1 given that the CPU has 4 logical cores. 3 cores requested. computational jobs per core = 2. For short computations, each core must have at least 20 jobs to warrant parallel computation. Computations are not lengthy. Not enough jobs per core. Reducing cores to 1 Rank 0 starting computing on 1 cores (requested 3 cores) Rank 0 computing serially ... Rank 0 - computed chunk in 0.0 msec or 0.0 msec per pixel. Average: 0.0 msec per pixel. Rank: 0 - now holding onto raw data + results has 1.67 GB free memory Rank 0 - wrote its 6 pixel chunk in 10.0 msec Rank 0 - 40% complete. Time remaining: 15.0 msec Rank 0 will read positions: [ 6 7 8 9 10 11] Rank 0 will read 672.0 bytes of the SOURCE dataset. Rank: 0 available memory: 1.67 GB. 3 workers on this socket will in total read ~ 1.97 kB. Rank 0 at Process class' default _unit_computation() that will call parallel_compute() Number of CPU free cores set to: 1 given that the CPU has 4 logical cores. 3 cores requested. computational jobs per core = 2. For short computations, each core must have at least 20 jobs to warrant parallel computation. Computations are not lengthy. Not enough jobs per core. Reducing cores to 1 Rank 0 starting computing on 1 cores (requested 3 cores) Rank 0 computing serially ... Rank 0 - computed chunk in 0.0 msec or 0.0 msec per pixel. Average: 0.0 msec per pixel. Rank: 0 - now holding onto raw data + results has 1.68 GB free memory Rank 0 - wrote its 6 pixel chunk in 0.0 msec Rank 0 - 80% complete. Time remaining: 2.5 msec Rank 0 will read positions: [12 13 14] Rank 0 will read 336.0 bytes of the SOURCE dataset. Rank: 0 available memory: 1.69 GB. 3 workers on this socket will in total read ~ 1008.0 bytes. Rank 0 at Process class' default _unit_computation() that will call parallel_compute() Number of CPU free cores set to: 1 given that the CPU has 4 logical cores. 3 cores requested. computational jobs per core = 1. For short computations, each core must have at least 20 jobs to warrant parallel computation. Computations are not lengthy. Not enough jobs per core. Reducing cores to 1 Rank 0 starting computing on 1 cores (requested 3 cores) Rank 0 computing serially ... Rank 0 - computed chunk in 0.0 msec or 0.0 msec per pixel. Average: 0.0 msec per pixel. Rank: 0 - now holding onto raw data + results has 1.69 GB free memory Rank 0 - wrote its 3 pixel chunk in 0.0 msec Rank 0 - 100% complete. Time remaining: 0.0 msec Rank 0 - Finished reading all data! Rank 0 - Finished computing all jobs! Finished processing the entire dataset! Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file Note: Mean_Val has already been performed PARTIALLY with the same parameters. compute() will resuming computation in the last group below. To choose a different group call use_patial_computation()Set override to True to force fresh computation or resume from a data group besides the last in the list. [, ] Resuming computation in group: /Raw_Measurement/source_main-Mean_Val_001 Resuming computation. 46% completed already This class (likely) supports interruption and resuming of computations! If you are operating in a python console, press Ctrl+C or Cmd+C to abort If you are in a Jupyter notebook, click on "Kernel">>"Interrupt" If you are operating on a cluster and your job gets killed, re-run the job to resume ok test_compute (tests.processing.test_process.TestProcReturnCompletedNotPartial.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_compute (tests.processing.test_process.TestProcWLegacyResultsComplete.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_compute (tests.processing.test_process.TestProcWLegacyResultsPartial.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_compute (tests.processing.test_process.TestProcWoStatus.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_compute (tests.processing.test_process.TestProcessWExistingResultsDiffFile.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_compute (tests.processing.test_process.TestUsePartialComputationIllegal.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_compute (tests.processing.test_process.TestUsePartialComputationLegit.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_compute (tests.processing.test_process.TestWriteResultsToNewH5File.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying') /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates' ok test_tfunc (tests.processing.test_process.TestWriteResultsToNewH5File.test_tfunc) ... ok ---------------------------------------------------------------------- Ran 357 tests in 125.674s OK Rank 0 - 100% complete. Time remaining: 0.0 msec Finished processing the entire dataset! Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file Note: Mean_Val has already been performed with the same parameters before. These results will be returned by compute() by default. Set override to True to force fresh computation [] Note: Mean_Val has already been performed PARTIALLY with the same parameters. compute() will resuming computation in the last group below. To choose a different group call use_patial_computation()Set override to True to force fresh computation or resume from a data group besides the last in the list. [] Returned previously computed results at /Raw_Measurement/source_main-Mean_Val_000 Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file Note: Mean_Val has already been performed with the same parameters before. These results will be returned by compute() by default. Set override to True to force fresh computation [] Returned previously computed results at /Raw_Measurement/source_main-Mean_Val_000 Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file Note: Mean_Val has already been performed PARTIALLY with the same parameters. compute() will resuming computation in the last group below. To choose a different group call use_patial_computation()Set override to True to force fresh computation or resume from a data group besides the last in the list. [] Resuming computation in group: /Raw_Measurement/source_main-Mean_Val_000 Resuming computation. 46% completed already This class (likely) supports interruption and resuming of computations! If you are operating in a python console, press Ctrl+C or Cmd+C to abort If you are in a Jupyter notebook, click on "Kernel">>"Interrupt" If you are operating on a cluster and your job gets killed, re-run the job to resume Rank 0 - 100% complete. Time remaining: 0.0 msec Finished processing the entire dataset! Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file Group: had neither the status HDF5 dataset or the legacy attribute: "last_pixel". This class (likely) supports interruption and resuming of computations! If you are operating in a python console, press Ctrl+C or Cmd+C to abort If you are in a Jupyter notebook, click on "Kernel">>"Interrupt" If you are operating on a cluster and your job gets killed, re-run the job to resume Rank 0 - 100% complete. Time remaining: 0.0 msec Finished processing the entire dataset! Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file Note: Mean_Val has already been performed PARTIALLY with the same parameters. compute() will resuming computation in the last group below. To choose a different group call use_patial_computation()Set override to True to force fresh computation or resume from a data group besides the last in the list. [, ] Resuming computation in group: /source_main-Mean_Val_001 Resuming computation. 46% completed already This class (likely) supports interruption and resuming of computations! If you are operating in a python console, press Ctrl+C or Cmd+C to abort If you are in a Jupyter notebook, click on "Kernel">>"Interrupt" If you are operating on a cluster and your job gets killed, re-run the job to resume Rank 0 - 100% complete. Time remaining: 0.0 msec Finished processing the entire dataset! Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file Note: Mean_Val has already been performed PARTIALLY with the same parameters. compute() will resuming computation in the last group below. To choose a different group call use_patial_computation()Set override to True to force fresh computation or resume from a data group besides the last in the list. [, ] Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file Note: Mean_Val has already been performed PARTIALLY with the same parameters. compute() will resuming computation in the last group below. To choose a different group call use_patial_computation()Set override to True to force fresh computation or resume from a data group besides the last in the list. [, ] Resuming computation. 73% completed already This class (likely) supports interruption and resuming of computations! If you are operating in a python console, press Ctrl+C or Cmd+C to abort If you are in a Jupyter notebook, click on "Kernel">>"Interrupt" If you are operating on a cluster and your job gets killed, re-run the job to resume Rank 0 - 100% complete. Time remaining: 0.0 msec Finished processing the entire dataset! Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file This class does NOT support interruption and resuming of computations. In order to enable this feature, simply implement the _get_existing_datasets() function Rank 0 - 100% complete. Time remaining: 0.0 msec Finished processing the entire dataset! Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file create-stamp debian/debhelper-build-stamp dh_testroot -O--buildsystem=pybuild dh_prep -O--buildsystem=pybuild dh_auto_install --destdir=debian/python3-pyusid/ -O--buildsystem=pybuild I: pybuild plugin_pyproject:178: Copying package built for python3.13 to destdir dh_installdocs -O--buildsystem=pybuild dh_installchangelogs -O--buildsystem=pybuild dh_python3 -O--buildsystem=pybuild dh_installsystemduser -O--buildsystem=pybuild dh_perl -O--buildsystem=pybuild dh_link -O--buildsystem=pybuild dh_strip_nondeterminism -O--buildsystem=pybuild dh_compress -O--buildsystem=pybuild dh_fixperms -O--buildsystem=pybuild dh_missing -O--buildsystem=pybuild dh_installdeb -O--buildsystem=pybuild dh_gencontrol -O--buildsystem=pybuild dh_md5sums -O--buildsystem=pybuild dh_builddeb -O--buildsystem=pybuild dpkg-deb: building package 'python3-pyusid' in '../python3-pyusid_0.0.12-3_all.deb'. dpkg-genbuildinfo --build=binary -O../pyusid_0.0.12-3_armhf.buildinfo dpkg-genchanges --build=binary -O../pyusid_0.0.12-3_armhf.changes dpkg-genchanges: info: binary-only upload (no source code included) dpkg-source --after-build . dpkg-source: info: using options from pyusid-0.0.12/debian/source/options: --extend-diff-ignore=^[^/]+.(egg-info|dist-info)/ dpkg-buildpackage: info: binary-only upload (no source included) dpkg-genchanges: info: not including original source code in upload I: copying local configuration I: unmounting dev/ptmx filesystem I: unmounting dev/pts filesystem I: unmounting dev/shm filesystem I: unmounting proc filesystem I: unmounting sys filesystem I: cleaning the build env I: removing directory /srv/workspace/pbuilder/16289 and its subdirectories I: Current time: Tue Apr 22 19:26:11 -12 2025 I: pbuilder-time-stamp: 1745393171