Sat Mar 15 00:58:22 UTC 2025  I: starting to build pyusid/unstable/amd64 on jenkins on '2025-03-15 00:57'
Sat Mar 15 00:58:22 UTC 2025  I: The jenkins build log is/was available at https://jenkins.debian.net/userContent/reproducible/debian/build_service/amd64_36/51923/console.log
Sat Mar 15 00:58:23 UTC 2025  I: Downloading source for unstable/pyusid=0.0.12-3
--2025-03-15 00:58:23--  http://deb.debian.org/debian/pool/main/p/pyusid/pyusid_0.0.12-3.dsc
Connecting to 46.16.76.132:3128... connected.
Proxy request sent, awaiting response... 200 OK
Length: 2169 (2.1K) [text/prs.lines.tag]
Saving to: ‘pyusid_0.0.12-3.dsc’

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2025-03-15 00:58:23 (301 MB/s) - ‘pyusid_0.0.12-3.dsc’ saved [2169/2169]

Sat Mar 15 00:58:23 UTC 2025  I: pyusid_0.0.12-3.dsc
-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA512

Format: 3.0 (quilt)
Source: pyusid
Binary: python3-pyusid
Architecture: all
Version: 0.0.12-3
Maintainer: Debian PaN Maintainers <debian-pan-maintainers@alioth-lists.debian.net>
Uploaders:  Debian Python Team <team+python@tracker.debian.org>, Roland Mas <lolando@debian.org>
Homepage: https://pycroscopy.github.io/pyUSID/about.html
Standards-Version: 4.6.2.0
Vcs-Browser: https://salsa.debian.org/python-team/packages/pyusid
Vcs-Git: https://salsa.debian.org/python-team/packages/pyusid.git
Testsuite: autopkgtest-pkg-pybuild
Build-Depends: debhelper-compat (= 13), dh-python, python3-all, python3-setuptools, pybuild-plugin-pyproject, python3-h5py, python3-numpy, python3-pil, python3-sidpy
Package-List:
 python3-pyusid deb python optional arch=all
Checksums-Sha1:
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 26f8de9002af2ca59b77f7c9212c8e33668d0a010aa0b65ce8233a29909ce71f 4068 pyusid_0.0.12-3.debian.tar.xz
Files:
 c862536fd3dcdb5ba66a1d6d425d410a 54403049 pyusid_0.0.12.orig.tar.gz
 2c10b5af18be6aff67778afa95a9ea57 4068 pyusid_0.0.12-3.debian.tar.xz

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Sat Mar 15 00:58:23 UTC 2025  I: Checking whether the package is not for us
Sat Mar 15 00:58:23 UTC 2025  I: Starting 1st build on remote node infom02-amd64.debian.net.
Sat Mar 15 00:58:23 UTC 2025  I: Preparing to do remote build '1' on infom02-amd64.debian.net.
Sat Mar 15 01:02:33 UTC 2025  I: Deleting $TMPDIR on infom02-amd64.debian.net.
I: pbuilder: network access will be disabled during build
I: Current time: Thu Apr 16 19:21:26 -12 2026
I: pbuilder-time-stamp: 1776410486
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/3864624/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='amd64'
  DEBIAN_FRONTEND='noninteractive'
  DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all parallel=12 '
  DISTRIBUTION='unstable'
  HOME='/root'
  HOST_ARCH='amd64'
  IFS=' 	
  '
  INVOCATION_ID='c635b9cfba4b47f0adfaad00f8a306f9'
  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='3864624'
  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.Lv9C6hqB/pbuilderrc_GtKO --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.Lv9C6hqB/b1 --logfile b1/build.log pyusid_0.0.12-3.dsc'
  SUDO_GID='109'
  SUDO_UID='104'
  SUDO_USER='jenkins'
  TERM='unknown'
  TZ='/usr/share/zoneinfo/Etc/GMT+12'
  USER='root'
  _='/usr/bin/systemd-run'
I: uname -a
  Linux infom02-amd64 6.12.12+bpo-amd64 #1 SMP PREEMPT_DYNAMIC Debian 6.12.12-1~bpo12+1 (2025-02-23) x86_64 GNU/Linux
I: ls -l /bin
  lrwxrwxrwx 1 root root 7 Mar  4  2025 /bin -> usr/bin
I: user script /srv/workspace/pbuilder/3864624/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: amd64
Maintainer: Debian Pbuilder Team <pbuilder-maint@lists.alioth.debian.org>
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 ... 19785 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} libicu76{a} libidn2-0{a} libimagequant0{a} libipt2{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} 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} python3.13{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 149 MB of archives. After unpacking 608 MB will be used.
Writing extended state information...
Get: 1 http://deb.debian.org/debian unstable/main amd64 libtext-charwidth-perl amd64 0.04-11+b4 [9476 B]
Get: 2 http://deb.debian.org/debian unstable/main amd64 libtext-wrapi18n-perl all 0.06-10 [8808 B]
Get: 3 http://deb.debian.org/debian unstable/main amd64 libproc2-0 amd64 2:4.0.4-7 [64.9 kB]
Get: 4 http://deb.debian.org/debian unstable/main amd64 procps amd64 2:4.0.4-7 [878 kB]
Get: 5 http://deb.debian.org/debian unstable/main amd64 sensible-utils all 0.0.24 [24.8 kB]
Get: 6 http://deb.debian.org/debian unstable/main amd64 ucf all 3.0050 [42.7 kB]
Get: 7 http://deb.debian.org/debian unstable/main amd64 libdebuginfod-common all 0.192-4 [23.7 kB]
Get: 8 http://deb.debian.org/debian unstable/main amd64 libpython3.13-minimal amd64 3.13.2-2 [859 kB]
Get: 9 http://deb.debian.org/debian unstable/main amd64 libexpat1 amd64 2.6.4-1 [106 kB]
Get: 10 http://deb.debian.org/debian unstable/main amd64 python3.13-minimal amd64 3.13.2-2 [2210 kB]
Get: 11 http://deb.debian.org/debian unstable/main amd64 python3-minimal amd64 3.13.2-2 [27.1 kB]
Get: 12 http://deb.debian.org/debian unstable/main amd64 media-types all 13.0.0 [29.3 kB]
Get: 13 http://deb.debian.org/debian unstable/main amd64 netbase all 6.4 [12.8 kB]
Get: 14 http://deb.debian.org/debian unstable/main amd64 tzdata all 2025a-2 [259 kB]
Get: 15 http://deb.debian.org/debian unstable/main amd64 libffi8 amd64 3.4.7-1 [23.9 kB]
Get: 16 http://deb.debian.org/debian unstable/main amd64 readline-common all 8.2-6 [69.4 kB]
Get: 17 http://deb.debian.org/debian unstable/main amd64 libreadline8t64 amd64 8.2-6 [169 kB]
Get: 18 http://deb.debian.org/debian unstable/main amd64 libpython3.13-stdlib amd64 3.13.2-2 [1952 kB]
Get: 19 http://deb.debian.org/debian unstable/main amd64 python3.13 amd64 3.13.2-2 [746 kB]
Get: 20 http://deb.debian.org/debian unstable/main amd64 libpython3-stdlib amd64 3.13.2-2 [10.1 kB]
Get: 21 http://deb.debian.org/debian unstable/main amd64 python3 amd64 3.13.2-2 [28.1 kB]
Get: 22 http://deb.debian.org/debian unstable/main amd64 python3-numpy-dev amd64 1:2.2.3+ds-5 [138 kB]
Get: 23 http://deb.debian.org/debian unstable/main amd64 libblas3 amd64 3.12.1-2 [160 kB]
Get: 24 http://deb.debian.org/debian unstable/main amd64 libgfortran5 amd64 14.2.0-18 [836 kB]
Get: 25 http://deb.debian.org/debian unstable/main amd64 liblapack3 amd64 3.12.1-2 [2452 kB]
Get: 26 http://deb.debian.org/debian unstable/main amd64 python3-numpy amd64 1:2.2.3+ds-5 [5084 kB]
Get: 27 http://deb.debian.org/debian unstable/main amd64 openssl amd64 3.4.1-1 [1427 kB]
Get: 28 http://deb.debian.org/debian unstable/main amd64 ca-certificates all 20241223 [164 kB]
Get: 29 http://deb.debian.org/debian unstable/main amd64 libmagic-mgc amd64 1:5.46-2 [337 kB]
Get: 30 http://deb.debian.org/debian unstable/main amd64 libmagic1t64 amd64 1:5.46-2 [109 kB]
Get: 31 http://deb.debian.org/debian unstable/main amd64 file amd64 1:5.46-2 [43.5 kB]
Get: 32 http://deb.debian.org/debian unstable/main amd64 gettext-base amd64 0.23.1-1 [243 kB]
Get: 33 http://deb.debian.org/debian unstable/main amd64 libuchardet0 amd64 0.0.8-1+b2 [68.9 kB]
Get: 34 http://deb.debian.org/debian unstable/main amd64 groff-base amd64 1.23.0-7 [1185 kB]
Get: 35 http://deb.debian.org/debian unstable/main amd64 bsdextrautils amd64 2.40.4-5 [92.4 kB]
Get: 36 http://deb.debian.org/debian unstable/main amd64 libpipeline1 amd64 1.5.8-1 [42.0 kB]
Get: 37 http://deb.debian.org/debian unstable/main amd64 man-db amd64 2.13.0-1 [1420 kB]
Get: 38 http://deb.debian.org/debian unstable/main amd64 m4 amd64 1.4.19-7 [294 kB]
Get: 39 http://deb.debian.org/debian unstable/main amd64 autoconf all 2.72-3 [493 kB]
Get: 40 http://deb.debian.org/debian unstable/main amd64 autotools-dev all 20220109.1 [51.6 kB]
Get: 41 http://deb.debian.org/debian unstable/main amd64 automake all 1:1.17-3 [862 kB]
Get: 42 http://deb.debian.org/debian unstable/main amd64 autopoint all 0.23.1-1 [770 kB]
Get: 43 http://deb.debian.org/debian unstable/main amd64 libtcl8.6 amd64 8.6.16+dfsg-1 [1042 kB]
Get: 44 http://deb.debian.org/debian unstable/main amd64 libbrotli1 amd64 1.1.0-2+b7 [307 kB]
Get: 45 http://deb.debian.org/debian unstable/main amd64 libpng16-16t64 amd64 1.6.47-1.1 [282 kB]
Get: 46 http://deb.debian.org/debian unstable/main amd64 libfreetype6 amd64 2.13.3+dfsg-1 [452 kB]
Get: 47 http://deb.debian.org/debian unstable/main amd64 fonts-dejavu-mono all 2.37-8 [489 kB]
Get: 48 http://deb.debian.org/debian unstable/main amd64 fonts-dejavu-core all 2.37-8 [840 kB]
Get: 49 http://deb.debian.org/debian unstable/main amd64 fontconfig-config amd64 2.15.0-2.1 [318 kB]
Get: 50 http://deb.debian.org/debian unstable/main amd64 libfontconfig1 amd64 2.15.0-2.1 [391 kB]
Get: 51 http://deb.debian.org/debian unstable/main amd64 libxau6 amd64 1:1.0.11-1 [20.4 kB]
Get: 52 http://deb.debian.org/debian unstable/main amd64 libxdmcp6 amd64 1:1.1.5-1 [27.8 kB]
Get: 53 http://deb.debian.org/debian unstable/main amd64 libxcb1 amd64 1.17.0-2+b1 [144 kB]
Get: 54 http://deb.debian.org/debian unstable/main amd64 libx11-data all 2:1.8.10-2 [337 kB]
Get: 55 http://deb.debian.org/debian unstable/main amd64 libx11-6 amd64 2:1.8.10-2 [813 kB]
Get: 56 http://deb.debian.org/debian unstable/main amd64 libxrender1 amd64 1:0.9.10-1.1+b4 [27.8 kB]
Get: 57 http://deb.debian.org/debian unstable/main amd64 libxft2 amd64 2.3.6-1+b4 [54.5 kB]
Get: 58 http://deb.debian.org/debian unstable/main amd64 libxext6 amd64 2:1.3.4-1+b3 [50.4 kB]
Get: 59 http://deb.debian.org/debian unstable/main amd64 x11-common all 1:7.7+24 [217 kB]
Get: 60 http://deb.debian.org/debian unstable/main amd64 libxss1 amd64 1:1.2.3-1+b3 [17.0 kB]
Get: 61 http://deb.debian.org/debian unstable/main amd64 libtk8.6 amd64 8.6.16-1 [793 kB]
Get: 62 http://deb.debian.org/debian unstable/main amd64 tk8.6-blt2.5 amd64 2.5.3+dfsg-8 [591 kB]
Get: 63 http://deb.debian.org/debian unstable/main amd64 blt amd64 2.5.3+dfsg-8 [5984 B]
Get: 64 http://deb.debian.org/debian unstable/main amd64 libdebhelper-perl all 13.24.1 [90.9 kB]
Get: 65 http://deb.debian.org/debian unstable/main amd64 libtool all 2.5.4-4 [539 kB]
Get: 66 http://deb.debian.org/debian unstable/main amd64 dh-autoreconf all 20 [17.1 kB]
Get: 67 http://deb.debian.org/debian unstable/main amd64 libarchive-zip-perl all 1.68-1 [104 kB]
Get: 68 http://deb.debian.org/debian unstable/main amd64 libfile-stripnondeterminism-perl all 1.14.1-2 [19.7 kB]
Get: 69 http://deb.debian.org/debian unstable/main amd64 dh-strip-nondeterminism all 1.14.1-2 [8620 B]
Get: 70 http://deb.debian.org/debian unstable/main amd64 libelf1t64 amd64 0.192-4 [189 kB]
Get: 71 http://deb.debian.org/debian unstable/main amd64 dwz amd64 0.15-1+b1 [110 kB]
Get: 72 http://deb.debian.org/debian unstable/main amd64 libunistring5 amd64 1.3-1 [476 kB]
Get: 73 http://deb.debian.org/debian unstable/main amd64 libicu76 amd64 76.1-3 [9721 kB]
Get: 74 http://deb.debian.org/debian unstable/main amd64 libxml2 amd64 2.12.7+dfsg+really2.9.14-0.3+b1 [699 kB]
Get: 75 http://deb.debian.org/debian unstable/main amd64 gettext amd64 0.23.1-1 [1680 kB]
Get: 76 http://deb.debian.org/debian unstable/main amd64 intltool-debian all 0.35.0+20060710.6 [22.9 kB]
Get: 77 http://deb.debian.org/debian unstable/main amd64 po-debconf all 1.0.21+nmu1 [248 kB]
Get: 78 http://deb.debian.org/debian unstable/main amd64 debhelper all 13.24.1 [920 kB]
Get: 79 http://deb.debian.org/debian unstable/main amd64 dh-python all 6.20250308 [115 kB]
Get: 80 http://deb.debian.org/debian unstable/main amd64 fonts-font-awesome all 5.0.10+really4.7.0~dfsg-4.1 [517 kB]
Get: 81 http://deb.debian.org/debian unstable/main amd64 fonts-glyphicons-halflings all 1.009~3.4.1+dfsg-3 [162 kB]
Get: 82 http://deb.debian.org/debian unstable/main amd64 fonts-lyx all 2.4.3-1 [190 kB]
Get: 83 http://deb.debian.org/debian unstable/main amd64 libdw1t64 amd64 0.192-4 [255 kB]
Get: 84 http://deb.debian.org/debian unstable/main amd64 libglib2.0-0t64 amd64 2.84.0-2 [1513 kB]
Get: 85 http://deb.debian.org/debian unstable/main amd64 libbabeltrace1 amd64 1.5.11-4+b2 [176 kB]
Get: 86 http://deb.debian.org/debian unstable/main amd64 libidn2-0 amd64 2.3.8-1 [109 kB]
Get: 87 http://deb.debian.org/debian unstable/main amd64 libp11-kit0 amd64 0.25.5-3 [425 kB]
Get: 88 http://deb.debian.org/debian unstable/main amd64 libtasn1-6 amd64 4.20.0-2 [49.9 kB]
Get: 89 http://deb.debian.org/debian unstable/main amd64 libgnutls30t64 amd64 3.8.9-2 [1464 kB]
Get: 90 http://deb.debian.org/debian unstable/main amd64 libkrb5support0 amd64 1.21.3-5 [33.0 kB]
Get: 91 http://deb.debian.org/debian unstable/main amd64 libcom-err2 amd64 1.47.2-1 [24.0 kB]
Get: 92 http://deb.debian.org/debian unstable/main amd64 libk5crypto3 amd64 1.21.3-5 [81.5 kB]
Get: 93 http://deb.debian.org/debian unstable/main amd64 libkeyutils1 amd64 1.6.3-4 [9092 B]
Get: 94 http://deb.debian.org/debian unstable/main amd64 libkrb5-3 amd64 1.21.3-5 [326 kB]
Get: 95 http://deb.debian.org/debian unstable/main amd64 libgssapi-krb5-2 amd64 1.21.3-5 [138 kB]
Get: 96 http://deb.debian.org/debian unstable/main amd64 libsasl2-modules-db amd64 2.1.28+dfsg1-9 [19.8 kB]
Get: 97 http://deb.debian.org/debian unstable/main amd64 libsasl2-2 amd64 2.1.28+dfsg1-9 [57.5 kB]
Get: 98 http://deb.debian.org/debian unstable/main amd64 libldap2 amd64 2.6.9+dfsg-2 [194 kB]
Get: 99 http://deb.debian.org/debian unstable/main amd64 libnghttp2-14 amd64 1.64.0-1 [75.5 kB]
Get: 100 http://deb.debian.org/debian unstable/main amd64 libnghttp3-9 amd64 1.8.0-1 [67.7 kB]
Get: 101 http://deb.debian.org/debian unstable/main amd64 libngtcp2-16 amd64 1.11.0-1 [131 kB]
Get: 102 http://deb.debian.org/debian unstable/main amd64 libngtcp2-crypto-gnutls8 amd64 1.11.0-1 [29.3 kB]
Get: 103 http://deb.debian.org/debian unstable/main amd64 libpsl5t64 amd64 0.21.2-1.1+b1 [57.2 kB]
Get: 104 http://deb.debian.org/debian unstable/main amd64 librtmp1 amd64 2.4+20151223.gitfa8646d.1-2+b5 [58.8 kB]
Get: 105 http://deb.debian.org/debian unstable/main amd64 libssh2-1t64 amd64 1.11.1-1 [245 kB]
Get: 106 http://deb.debian.org/debian unstable/main amd64 libcurl3t64-gnutls amd64 8.12.1-3 [365 kB]
Get: 107 http://deb.debian.org/debian unstable/main amd64 libjson-c5 amd64 0.18+ds-1 [46.0 kB]
Get: 108 http://deb.debian.org/debian unstable/main amd64 libdebuginfod1t64 amd64 0.192-4 [32.4 kB]
Get: 109 http://deb.debian.org/debian unstable/main amd64 libipt2 amd64 2.1.2-1 [47.8 kB]
Get: 110 http://deb.debian.org/debian unstable/main amd64 libpython3.13 amd64 3.13.2-2 [2155 kB]
Get: 111 http://deb.debian.org/debian unstable/main amd64 libsource-highlight-common all 3.1.9-4.3 [77.5 kB]
Get: 112 http://deb.debian.org/debian unstable/main amd64 libsource-highlight4t64 amd64 3.1.9-4.3+b1 [335 kB]
Get: 113 http://deb.debian.org/debian unstable/main amd64 gdb amd64 16.2-2 [3992 kB]
Get: 114 http://deb.debian.org/debian unstable/main amd64 libaec0 amd64 1.1.3-1+b1 [23.8 kB]
Get: 115 http://deb.debian.org/debian unstable/main amd64 libcurl4t64 amd64 8.12.1-3 [369 kB]
Get: 116 http://deb.debian.org/debian unstable/main amd64 libdeflate0 amd64 1.23-1+b1 [47.5 kB]
Get: 117 http://deb.debian.org/debian unstable/main amd64 libfribidi0 amd64 1.0.16-1 [26.5 kB]
Get: 118 http://deb.debian.org/debian unstable/main amd64 libgpg-error0 amd64 1.51-3 [82.2 kB]
Get: 119 http://deb.debian.org/debian unstable/main amd64 libgcrypt20 amd64 1.11.0-7 [843 kB]
Get: 120 http://deb.debian.org/debian unstable/main amd64 libgraphite2-3 amd64 1.3.14-2+b1 [75.4 kB]
Get: 121 http://deb.debian.org/debian unstable/main amd64 libharfbuzz0b amd64 10.2.0-1+b1 [479 kB]
Get: 122 http://deb.debian.org/debian unstable/main amd64 libsz2 amd64 1.1.3-1+b1 [8080 B]
Get: 123 http://deb.debian.org/debian unstable/main amd64 libhdf5-310 amd64 1.14.5+repack-3 [1344 kB]
Get: 124 http://deb.debian.org/debian unstable/main amd64 libhdf5-hl-310 amd64 1.14.5+repack-3 [69.3 kB]
Get: 125 http://deb.debian.org/debian unstable/main amd64 libimagequant0 amd64 2.18.0-1+b2 [35.2 kB]
Get: 126 http://deb.debian.org/debian unstable/main amd64 libjbig0 amd64 2.1-6.1+b2 [32.1 kB]
Get: 127 http://deb.debian.org/debian unstable/main amd64 libjpeg62-turbo amd64 1:2.1.5-3.1 [168 kB]
Get: 128 http://deb.debian.org/debian unstable/main amd64 libjs-bootstrap all 3.4.1+dfsg-3 [172 kB]
Get: 129 http://deb.debian.org/debian unstable/main amd64 libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [326 kB]
Get: 130 http://deb.debian.org/debian unstable/main amd64 libjs-jquery-ui all 1.13.2+dfsg-1 [250 kB]
Get: 131 http://deb.debian.org/debian unstable/main amd64 liblcms2-2 amd64 2.16-2 [160 kB]
Get: 132 http://deb.debian.org/debian unstable/main amd64 liblerc4 amd64 4.0.0+ds-5 [183 kB]
Get: 133 http://deb.debian.org/debian unstable/main amd64 liblzf1 amd64 3.6-4+b3 [10.1 kB]
Get: 134 http://deb.debian.org/debian unstable/main amd64 libnorm1t64 amd64 1.5.9+dfsg-3.1+b2 [221 kB]
Get: 135 http://deb.debian.org/debian unstable/main amd64 libopenjp2-7 amd64 2.5.3-2 [204 kB]
Get: 136 http://deb.debian.org/debian unstable/main amd64 libpgm-5.3-0t64 amd64 5.3.128~dfsg-2.1+b1 [162 kB]
Get: 137 http://deb.debian.org/debian unstable/main amd64 libqhull-r8.0 amd64 2020.2-6+b2 [248 kB]
Get: 138 http://deb.debian.org/debian unstable/main amd64 libraqm0 amd64 0.10.2-1 [13.9 kB]
Get: 139 http://deb.debian.org/debian unstable/main amd64 libsharpyuv0 amd64 1.5.0-0.1 [116 kB]
Get: 140 http://deb.debian.org/debian unstable/main amd64 libsodium23 amd64 1.0.18-1+b2 [165 kB]
Get: 141 http://deb.debian.org/debian unstable/main amd64 libsymspg2 amd64 2.6.0-1 [194 kB]
Get: 142 http://deb.debian.org/debian unstable/main amd64 libwebp7 amd64 1.5.0-0.1 [318 kB]
Get: 143 http://deb.debian.org/debian unstable/main amd64 libtiff6 amd64 4.5.1+git230720-5 [324 kB]
Get: 144 http://deb.debian.org/debian unstable/main amd64 libwebpdemux2 amd64 1.5.0-0.1 [113 kB]
Get: 145 http://deb.debian.org/debian unstable/main amd64 libwebpmux3 amd64 1.5.0-0.1 [126 kB]
Get: 146 http://deb.debian.org/debian unstable/main amd64 libxslt1.1 amd64 1.1.35-1.1+b1 [233 kB]
Get: 147 http://deb.debian.org/debian unstable/main amd64 libyaml-0-2 amd64 0.2.5-2 [52.5 kB]
Get: 148 http://deb.debian.org/debian unstable/main amd64 libzmq5 amd64 4.3.5-1+b3 [283 kB]
Get: 149 http://deb.debian.org/debian unstable/main amd64 python3-packaging all 24.2-1 [55.3 kB]
Get: 150 http://deb.debian.org/debian unstable/main amd64 python3-pyproject-hooks all 1.2.0-1 [11.7 kB]
Get: 151 http://deb.debian.org/debian unstable/main amd64 python3-toml all 0.10.2-1 [16.2 kB]
Get: 152 http://deb.debian.org/debian unstable/main amd64 python3-wheel all 0.45.1-1 [56.7 kB]
Get: 153 http://deb.debian.org/debian unstable/main amd64 python3-build all 1.2.2-1 [36.0 kB]
Get: 154 http://deb.debian.org/debian unstable/main amd64 python3-installer all 0.7.0+dfsg1-3 [18.6 kB]
Get: 155 http://deb.debian.org/debian unstable/main amd64 pybuild-plugin-pyproject all 6.20250308 [11.7 kB]
Get: 156 http://deb.debian.org/debian unstable/main amd64 python-matplotlib-data all 3.8.3-7 [2735 kB]
Get: 157 http://deb.debian.org/debian unstable/main amd64 python3-all amd64 3.13.2-2 [1044 B]
Get: 158 http://deb.debian.org/debian unstable/main amd64 python3-decorator all 5.1.1-5 [15.1 kB]
Get: 159 http://deb.debian.org/debian unstable/main amd64 python3-scipy amd64 1.15.2-4 [16.3 MB]
Get: 160 http://deb.debian.org/debian unstable/main amd64 python3-typing-extensions all 4.12.2-2 [73.0 kB]
Get: 161 http://deb.debian.org/debian unstable/main amd64 python3-spglib amd64 2.6.0-1 [53.5 kB]
Get: 162 http://deb.debian.org/debian unstable/main amd64 python3-dateutil all 2.9.0-3 [79.3 kB]
Get: 163 http://deb.debian.org/debian unstable/main amd64 python3-pil amd64 11.1.0-5+b1 [513 kB]
Get: 164 http://deb.debian.org/debian unstable/main amd64 python3.13-tk amd64 3.13.2-2 [107 kB]
Get: 165 http://deb.debian.org/debian unstable/main amd64 python3-tk amd64 3.13.2-1 [9516 B]
Get: 166 http://deb.debian.org/debian unstable/main amd64 python3-pil.imagetk amd64 11.1.0-5+b1 [81.6 kB]
Get: 167 http://deb.debian.org/debian unstable/main amd64 python3-pyparsing all 3.1.2-1 [146 kB]
Get: 168 http://deb.debian.org/debian unstable/main amd64 python3-contourpy amd64 1.3.1-1+b1 [216 kB]
Get: 169 http://deb.debian.org/debian unstable/main amd64 python3-cycler all 0.12.1-1 [9496 B]
Get: 170 http://deb.debian.org/debian unstable/main amd64 python3-brotli amd64 1.1.0-2+b7 [320 kB]
Get: 171 http://deb.debian.org/debian unstable/main amd64 python3-platformdirs all 4.3.6-1 [16.6 kB]
Get: 172 http://deb.debian.org/debian unstable/main amd64 python3-fs all 2.4.16-7 [95.2 kB]
Get: 173 http://deb.debian.org/debian unstable/main amd64 python3-lxml amd64 5.3.1-1+b1 [1288 kB]
Get: 174 http://deb.debian.org/debian unstable/main amd64 python3-lz4 amd64 4.4.0+dfsg-1+b1 [25.5 kB]
Get: 175 http://deb.debian.org/debian unstable/main amd64 python3-mpmath all 1.3.0-1 [419 kB]
Get: 176 http://deb.debian.org/debian unstable/main amd64 python3-sympy all 1.13.3-5 [4148 kB]
Get: 177 http://deb.debian.org/debian unstable/main amd64 python3-attr all 25.1.0-1 [68.7 kB]
Get: 178 http://deb.debian.org/debian unstable/main amd64 python3-ufolib2 all 0.17.0+dfsg1-1 [33.0 kB]
Get: 179 http://deb.debian.org/debian unstable/main amd64 unicode-data all 15.1.0-1 [8547 kB]
Get: 180 http://deb.debian.org/debian unstable/main amd64 python3-fonttools amd64 4.55.3-2+b1 [1448 kB]
Get: 181 http://deb.debian.org/debian unstable/main amd64 python3-kiwisolver amd64 1.4.7-3+b1 [62.0 kB]
Get: 182 http://deb.debian.org/debian unstable/main amd64 python3-matplotlib amd64 3.8.3-7+b1 [23.0 MB]
Get: 183 http://deb.debian.org/debian unstable/main amd64 python3-ase all 3.24.0-1 [1730 kB]
Get: 184 http://deb.debian.org/debian unstable/main amd64 python3-asttokens all 3.0.0-1 [20.1 kB]
Get: 185 http://deb.debian.org/debian unstable/main amd64 python3-autocommand all 2.2.2-3 [13.6 kB]
Get: 186 http://deb.debian.org/debian unstable/main amd64 python3-cffi-backend amd64 1.17.1-2+b2 [93.6 kB]
Get: 187 http://deb.debian.org/debian unstable/main amd64 python3-click all 8.2.0+0.really.8.1.8-1 [95.4 kB]
Get: 188 http://deb.debian.org/debian unstable/main amd64 python3-cloudpickle all 3.1.1-1 [26.6 kB]
Get: 189 http://deb.debian.org/debian unstable/main amd64 python3-traitlets all 5.14.3+really5.14.3-1 [70.9 kB]
Get: 190 http://deb.debian.org/debian unstable/main amd64 python3-comm all 0.2.1-1 [8104 B]
Get: 191 http://deb.debian.org/debian unstable/main amd64 python3-coverage amd64 7.6.0+dfsg1-2+b2 [175 kB]
Get: 192 http://deb.debian.org/debian unstable/main amd64 python3-toolz all 1.0.0-2 [44.2 kB]
Get: 193 http://deb.debian.org/debian unstable/main amd64 python3-cytoolz amd64 1.0.1-1+b1 [303 kB]
Get: 194 http://deb.debian.org/debian unstable/main amd64 python3-fsspec all 2025.2.0-1 [211 kB]
Get: 195 http://deb.debian.org/debian unstable/main amd64 python3-locket all 1.0.0-2 [5820 B]
Get: 196 http://deb.debian.org/debian unstable/main amd64 python3-partd all 1.4.2-1 [15.4 kB]
Get: 197 http://deb.debian.org/debian unstable/main amd64 python3-yaml amd64 6.0.2-1+b2 [136 kB]
Get: 198 http://deb.debian.org/debian unstable/main amd64 python3-dask all 2024.12.1+dfsg-2 [984 kB]
Get: 199 http://deb.debian.org/debian unstable/main amd64 python3-debugpy amd64 1.8.8+ds-2 [1105 kB]
Get: 200 http://deb.debian.org/debian unstable/main amd64 python3-markupsafe amd64 2.1.5-1+b3 [14.0 kB]
Get: 201 http://deb.debian.org/debian unstable/main amd64 python3-jinja2 all 3.1.5-2 [107 kB]
Get: 202 http://deb.debian.org/debian unstable/main amd64 python3-msgpack amd64 1.0.3-3+b4 [84.5 kB]
Get: 203 http://deb.debian.org/debian unstable/main amd64 python3-psutil amd64 5.9.8-2 [225 kB]
Get: 204 http://deb.debian.org/debian unstable/main amd64 python3-sortedcontainers all 2.4.0-2 [31.9 kB]
Get: 205 http://deb.debian.org/debian unstable/main amd64 python3-tblib all 3.0.0-6 [13.8 kB]
Get: 206 http://deb.debian.org/debian unstable/main amd64 python3-tornado amd64 6.4.2-1 [349 kB]
Get: 207 http://deb.debian.org/debian unstable/main amd64 python3-urllib3 all 2.3.0-2 [114 kB]
Get: 208 http://deb.debian.org/debian unstable/main amd64 python3-zict all 3.0.0-2 [29.7 kB]
Get: 209 http://deb.debian.org/debian unstable/main amd64 python3-distributed all 2024.12.1+ds-1 [1162 kB]
Get: 210 http://deb.debian.org/debian unstable/main amd64 python3-executing all 2.2.0-0.1 [24.5 kB]
Get: 211 http://deb.debian.org/debian unstable/main amd64 python3-h5py-serial amd64 3.13.0-1+b1 [1065 kB]
Get: 212 http://deb.debian.org/debian unstable/main amd64 python3-h5py all 3.13.0-1 [15.0 kB]
Get: 213 http://deb.debian.org/debian unstable/main amd64 python3-more-itertools all 10.6.0-1 [65.3 kB]
Get: 214 http://deb.debian.org/debian unstable/main amd64 python3-typeguard all 4.4.2-1 [37.3 kB]
Get: 215 http://deb.debian.org/debian unstable/main amd64 python3-inflect all 7.3.1-2 [32.4 kB]
Get: 216 http://deb.debian.org/debian unstable/main amd64 python3-parso all 0.8.4-1 [67.8 kB]
Get: 217 http://deb.debian.org/debian unstable/main amd64 python3-typeshed all 0.0~git20241223.ea91db2-1 [1530 kB]
Get: 218 http://deb.debian.org/debian unstable/main amd64 python3-jedi all 0.19.1+ds1-1 [691 kB]
Get: 219 http://deb.debian.org/debian unstable/main amd64 python3-matplotlib-inline all 0.1.6-2 [8652 B]
Get: 220 http://deb.debian.org/debian unstable/main amd64 python3-wcwidth all 0.2.13+dfsg1-1 [24.9 kB]
Get: 221 http://deb.debian.org/debian unstable/main amd64 python3-prompt-toolkit all 3.0.50-1 [278 kB]
Get: 222 http://deb.debian.org/debian unstable/main amd64 python3-pygments all 2.18.0+dfsg-2 [836 kB]
Get: 223 http://deb.debian.org/debian unstable/main amd64 python3-pure-eval all 0.2.3-1 [11.2 kB]
Get: 224 http://deb.debian.org/debian unstable/main amd64 python3-stack-data all 0.6.3-1 [21.6 kB]
Get: 225 http://deb.debian.org/debian unstable/main amd64 python3-ptyprocess all 0.7.0-6 [14.5 kB]
Get: 226 http://deb.debian.org/debian unstable/main amd64 python3-pexpect all 4.9-3 [55.6 kB]
Get: 227 http://deb.debian.org/debian unstable/main amd64 python3-jaraco.context all 6.0.1-1 [8276 B]
Get: 228 http://deb.debian.org/debian unstable/main amd64 python3-jaraco.functools all 4.1.0-1 [12.0 kB]
Get: 229 http://deb.debian.org/debian unstable/main amd64 python3-pkg-resources all 75.8.0-1 [222 kB]
Get: 230 http://deb.debian.org/debian unstable/main amd64 python3-jaraco.text all 4.0.0-1 [11.4 kB]
Get: 231 http://deb.debian.org/debian unstable/main amd64 python3-zipp all 3.21.0-1 [10.6 kB]
Get: 232 http://deb.debian.org/debian unstable/main amd64 python3-setuptools all 75.8.0-1 [724 kB]
Get: 233 http://deb.debian.org/debian unstable/main amd64 python3-ipython all 8.30.0-2 [568 kB]
Get: 234 http://deb.debian.org/debian unstable/main amd64 python3-jupyter-core all 5.7.2-5 [35.3 kB]
Get: 235 http://deb.debian.org/debian unstable/main amd64 python3-zmq amd64 26.2.1-1+b1 [182 kB]
Get: 236 http://deb.debian.org/debian unstable/main amd64 python3-jupyter-client all 8.6.3-2 [92.4 kB]
Get: 237 http://deb.debian.org/debian unstable/main amd64 python3-nest-asyncio all 1.5.4-1 [6248 B]
Get: 238 http://deb.debian.org/debian unstable/main amd64 python3-ipykernel all 6.29.5-2 [102 kB]
Get: 239 http://deb.debian.org/debian unstable/main amd64 python3-jupyterlab-widgets all 8.1.5-6 [171 kB]
Get: 240 http://deb.debian.org/debian unstable/main amd64 python3-widgetsnbextension all 8.1.5-6 [851 kB]
Get: 241 http://deb.debian.org/debian unstable/main amd64 python3-ipywidgets all 8.1.5-6 [105 kB]
Get: 242 http://deb.debian.org/debian unstable/main amd64 python3-joblib all 1.4.2-3 [216 kB]
Get: 243 http://deb.debian.org/debian unstable/main amd64 python3-threadpoolctl all 3.1.0-1 [21.2 kB]
Get: 244 http://deb.debian.org/debian unstable/main amd64 python3-sklearn-lib amd64 1.4.2+dfsg-8 [3980 kB]
Get: 245 http://deb.debian.org/debian unstable/main amd64 python3-sklearn all 1.4.2+dfsg-8 [2248 kB]
Get: 246 http://deb.debian.org/debian unstable/main amd64 python3-sidpy all 0.12.3-3 [76.9 kB]
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invoke-rc.d: could not determine current runlevel
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Current default time zone: 'Etc/UTC'
Local time is now:      Fri Apr 17 07:24:14 UTC 2026.
Universal Time is now:  Fri Apr 17 07:24:14 UTC 2026.
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/usr/lib/python3/dist-packages/cytoolz/tests/test_inspect_args.py:505: SyntaxWarning: "is" with 'int' literal. Did you mean "=="?
  assert num_required_args(Wrapped) is 1
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/usr/lib/python3/dist-packages/ipywidgets/widgets/tests/test_traits.py:61: SyntaxWarning: invalid escape sequence '\.'
  'var(--my-color-\.)', # CSS variable with escaped characters
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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...
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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 <lolando@debian.org>
 dpkg-source --before-build .
dpkg-buildpackage: info: host architecture amd64
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:270: UserWarning: Unknown distribution option: 'tests_require'
  warnings.warn(msg)
/usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:270: UserWarning: Unknown distribution option: 'test_suite'
  warnings.warn(msg)
running bdist_wheel
/usr/lib/python3/dist-packages/setuptools/_distutils/cmd.py:124: 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.

        This deprecation is overdue, please update your project and remove deprecated
        calls to avoid build errors in the future.
        ********************************************************************************

!!
  self.finalize_options()
running build
running build_py
creating build/lib/pyUSID
copying pyUSID/__init__.py -> build/lib/pyUSID
copying pyUSID/__version__.py -> build/lib/pyUSID
creating build/lib/pyUSID/processing
copying pyUSID/processing/process.py -> build/lib/pyUSID/processing
copying pyUSID/processing/__init__.py -> build/lib/pyUSID/processing
copying pyUSID/processing/comp_utils.py -> build/lib/pyUSID/processing
creating build/lib/pyUSID/io
copying pyUSID/io/array_translator.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/anc_build_utils.py -> build/lib/pyUSID/io
copying pyUSID/io/usi_data.py -> build/lib/pyUSID/io
copying pyUSID/io/image.py -> build/lib/pyUSID/io
copying pyUSID/io/dimension.py -> build/lib/pyUSID/io
creating build/lib/pyUSID/io/hdf_utils
copying pyUSID/io/hdf_utils/base.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/simple.py -> build/lib/pyUSID/io/hdf_utils
copying pyUSID/io/hdf_utils/__init__.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-x86_64/wheel
running install
running install_lib
creating build/bdist.linux-x86_64/wheel
creating build/bdist.linux-x86_64/wheel/pyUSID
creating build/bdist.linux-x86_64/wheel/pyUSID/processing
copying build/lib/pyUSID/processing/process.py -> build/bdist.linux-x86_64/wheel/./pyUSID/processing
copying build/lib/pyUSID/processing/__init__.py -> build/bdist.linux-x86_64/wheel/./pyUSID/processing
copying build/lib/pyUSID/processing/comp_utils.py -> build/bdist.linux-x86_64/wheel/./pyUSID/processing
creating build/bdist.linux-x86_64/wheel/pyUSID/io
copying build/lib/pyUSID/io/array_translator.py -> build/bdist.linux-x86_64/wheel/./pyUSID/io
copying build/lib/pyUSID/io/reg_ref.py -> build/bdist.linux-x86_64/wheel/./pyUSID/io
copying build/lib/pyUSID/io/__init__.py -> build/bdist.linux-x86_64/wheel/./pyUSID/io
copying build/lib/pyUSID/io/anc_build_utils.py -> build/bdist.linux-x86_64/wheel/./pyUSID/io
copying build/lib/pyUSID/io/usi_data.py -> build/bdist.linux-x86_64/wheel/./pyUSID/io
creating build/bdist.linux-x86_64/wheel/pyUSID/io/hdf_utils
copying build/lib/pyUSID/io/hdf_utils/base.py -> build/bdist.linux-x86_64/wheel/./pyUSID/io/hdf_utils
copying build/lib/pyUSID/io/hdf_utils/model.py -> build/bdist.linux-x86_64/wheel/./pyUSID/io/hdf_utils
copying build/lib/pyUSID/io/hdf_utils/simple.py -> build/bdist.linux-x86_64/wheel/./pyUSID/io/hdf_utils
copying build/lib/pyUSID/io/hdf_utils/__init__.py -> build/bdist.linux-x86_64/wheel/./pyUSID/io/hdf_utils
copying build/lib/pyUSID/io/image.py -> build/bdist.linux-x86_64/wheel/./pyUSID/io
copying build/lib/pyUSID/io/dimension.py -> build/bdist.linux-x86_64/wheel/./pyUSID/io
copying build/lib/pyUSID/__init__.py -> build/bdist.linux-x86_64/wheel/./pyUSID
copying build/lib/pyUSID/__version__.py -> build/bdist.linux-x86_64/wheel/./pyUSID
running install_egg_info
Copying pyUSID.egg-info to build/bdist.linux-x86_64/wheel/./pyUSID-0.0.12.egg-info
running install_scripts
creating build/bdist.linux-x86_64/wheel/pyUSID-0.0.12.dist-info/WHEEL
creating '/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/.tmp-tpuumxer/pyUSID-0.0.12-py2.py3-none-any.whl' and adding 'build/bdist.linux-x86_64/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/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-x86_64/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)
[ 65 170]
[[ 65]
 [170]]
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)
[213  36]
[[213  36]]
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)
[210 192]
[[210]
 [192]]
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)
[18 58]
[[18 58]]
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)
[114 245]
[[114]
 [245]]
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)
[225  42]
[[225  42]]
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)
[132 203]
[[132]
 [203]]
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)
[215 199]
[[215 199]]
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)
[[ 18 196  32]
 [ 90 245  41]]
[[ 18]
 [196]
 [ 32]
 [ 90]
 [245]
 [ 41]]
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)
[[166 172 155]
 [197 150 115]]
[[166 172 155 197 150 115]]
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: <HDF5 dataset "Test_Main": shape (15, 14), type "<f8"> for writing Dask dataset: dask.array<array, shape=(15, 14), dtype=float64, chunksize=(15, 14), chunktype=numpy.ndarray>
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: <HDF5 dataset "Position_Indices": shape (15, 2), type "<u4"> and <HDF5 dataset "Position_Values": shape (15, 2), type "<f4"> to destination group: <HDF5 file "new.h5" (mode r+)> which is in a different HDF5 file
Creating new HDF5 dataset named: Position_Indices at: <HDF5 file "new.h5" (mode r+)> 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: <HDF5 dataset "Position_Indices": shape (15, 2), type "<u4"> to destination dataset: <HDF5 dataset "Position_Indices": shape (15, 2), type "<u4">
Creating new HDF5 dataset named: Position_Values at: <HDF5 file "new.h5" (mode r+)> with kwargs: {'shape': (15, 2), 'dtype': dtype('<f4'), 'compression': None, 'chunks': None}
dask.array will copy data from source dataset to new dataset
Copying simple attributes of original dataset: <HDF5 dataset "Position_Values": shape (15, 2), type "<f4"> to destination dataset: <HDF5 dataset "Position_Values": shape (15, 2), type "<f4">
The shapes of the provided h5 position indices and values are OK
Need to copy over ancillary datasets: <HDF5 dataset "Spectroscopic_Indices": shape (2, 14), type "<u4"> and <HDF5 dataset "Spectroscopic_Values": shape (2, 14), type "<f4"> to destination group: <HDF5 file "new.h5" (mode r+)> which is in a different HDF5 file
Creating new HDF5 dataset named: Spectroscopic_Indices at: <HDF5 file "new.h5" (mode r+)> 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: <HDF5 dataset "Spectroscopic_Indices": shape (2, 14), type "<u4"> to destination dataset: <HDF5 dataset "Spectroscopic_Indices": shape (2, 14), type "<u4">
Creating new HDF5 dataset named: Spectroscopic_Values at: <HDF5 file "new.h5" (mode r+)> with kwargs: {'shape': (2, 14), 'dtype': dtype('<f4'), 'compression': None, 'chunks': None}
dask.array will copy data from source dataset to new dataset
Copying simple attributes of original dataset: <HDF5 dataset "Spectroscopic_Values": shape (2, 14), type "<f4"> to destination dataset: <HDF5 dataset "Spectroscopic_Values": shape (2, 14), type "<f4">
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: <HDF5 dataset "Position_Indices": shape (15, 2), type "<u4"> and <HDF5 dataset "Position_Values": shape (15, 2), type "<f4"> to destination group: <HDF5 file "new.h5" (mode r+)> which is in a different HDF5 file
Creating new HDF5 dataset named: Position_Indices at: <HDF5 file "new.h5" (mode r+)> 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: <HDF5 dataset "Position_Indices": shape (15, 2), type "<u4"> to destination dataset: <HDF5 dataset "Position_Indices": shape (15, 2), type "<u4">
Creating new HDF5 dataset named: Position_Values at: <HDF5 file "new.h5" (mode r+)> with kwargs: {'shape': (15, 2), 'dtype': dtype('<f4'), 'compression': None, 'chunks': None}
dask.array will copy data from source dataset to new dataset
Copying simple attributes of original dataset: <HDF5 dataset "Position_Values": shape (15, 2), type "<f4"> to destination dataset: <HDF5 dataset "Position_Values": shape (15, 2), type "<f4">
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: <HDF5 dataset "Spectroscopic_Indices": shape (2, 14), type "<u4"> and <HDF5 dataset "Spectroscopic_Values": shape (2, 14), type "<f4"> to destination group: <HDF5 file "new.h5" (mode r+)> which is in a different HDF5 file
Creating new HDF5 dataset named: Spectroscopic_Indices at: <HDF5 file "new.h5" (mode r+)> 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: <HDF5 dataset "Spectroscopic_Indices": shape (2, 14), type "<u4"> to destination dataset: <HDF5 dataset "Spectroscopic_Indices": shape (2, 14), type "<u4">
Creating new HDF5 dataset named: Spectroscopic_Values at: <HDF5 file "new.h5" (mode r+)> with kwargs: {'shape': (2, 14), 'dtype': dtype('<f4'), 'compression': None, 'chunks': None}
dask.array will copy data from source dataset to new dataset
Copying simple attributes of original dataset: <HDF5 dataset "Spectroscopic_Values": shape (2, 14), type "<f4"> to destination dataset: <HDF5 dataset "Spectroscopic_Values": shape (2, 14), type "<f4">
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]]
<class 'pyUSID.io.dimension.Dimension'>
[[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
23 23
215 215
[[  0   0]
 [  1   0]
 [  2   0]
 ...
 [ 61 127]
 [ 62 127]
 [ 63 127]]
[[0]]
[1 2] [1 2]
BICUBIC BICUBIC
False False
0 0
253 253
[[  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

[<HDF5 group "/Raw_Measurement/source_main-Mean_Val_000" (4 members)>]
	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.

[<HDF5 group "/Raw_Measurement/source_main-Mean_Val_000" (4 members)>]
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

[<HDF5 group "/Raw_Measurement/source_main-Mean_Val_000" (4 members)>]
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 20.81 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: 20.81 GB. 10 workers on this socket will in total read ~ 6.56 kB.
Rank: 0 - with only raw data loaded has 20.81 GB free memory
Rank 0 at Process class' default _unit_computation() that will call parallel_compute()
Number of CPU free cores set to: 2 given that the CPU has 12 logical cores.
10 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 10 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 20.81 GB free memory
Rank 0 - wrote its 6 pixel chunk in 0.0 msec
Rank 0 - 40% complete. Time remaining: 0.0 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: 20.81 GB. 10 workers on this socket will in total read ~ 6.56 kB.
Rank 0 at Process class' default _unit_computation() that will call parallel_compute()
Number of CPU free cores set to: 2 given that the CPU has 12 logical cores.
10 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 10 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 20.81 GB free memory
Rank 0 - wrote its 6 pixel chunk in 0.0 msec
Rank 0 - 80% complete. Time remaining: 0.0 msec
Rank 0 will read positions: [12 13 14]
Rank 0 will read 336.0 bytes of the SOURCE dataset.
Rank: 0 available memory: 20.81 GB. 10 workers on this socket will in total read ~ 3.28 kB.
Rank 0 at Process class' default _unit_computation() that will call parallel_compute()
Number of CPU free cores set to: 2 given that the CPU has 12 logical cores.
10 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 10 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 20.81 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.

[<HDF5 group "/Raw_Measurement/source_main-Mean_Val_000" (4 members)>, <HDF5 group "/Raw_Measurement/source_main-Mean_Val_001" (4 members)>]
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 9.862s

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

[<HDF5 group "/Raw_Measurement/source_main-Mean_Val_000" (4 members)>]

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.

[<HDF5 group "/Raw_Measurement/source_main-Mean_Val_001" (4 members)>]
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

[<HDF5 group "/Raw_Measurement/source_main-Mean_Val_000" (4 members)>]
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.

[<HDF5 group "/Raw_Measurement/source_main-Mean_Val_000" (4 members)>]
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: <HDF5 group "/Raw_Measurement/source_main-Mean_Val_000" (3 members)> 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.

[<HDF5 group "/source_main-Mean_Val_000" (6 members)>, <HDF5 group "/source_main-Mean_Val_001" (6 members)>]
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.

[<HDF5 group "/Raw_Measurement/source_main-Mean_Val_000" (4 members)>, <HDF5 group "/Raw_Measurement/source_main-Mean_Val_001" (4 members)>]
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.

[<HDF5 group "/Raw_Measurement/source_main-Mean_Val_000" (4 members)>, <HDF5 group "/Raw_Measurement/source_main-Mean_Val_001" (4 members)>]
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_amd64.buildinfo
 dpkg-genchanges --build=binary -O../pyusid_0.0.12-3_amd64.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/3864624 and its subdirectories
I: Current time: Thu Apr 16 19:25:32 -12 2026
I: pbuilder-time-stamp: 1776410732
Sat Mar 15 01:02:34 UTC 2025  I: 1st build successful. Starting 2nd build on remote node infom01-amd64.debian.net.
Sat Mar 15 01:02:34 UTC 2025  I: Preparing to do remote build '2' on infom01-amd64.debian.net.
Sat Mar 15 01:10:09 UTC 2025  I: Deleting $TMPDIR on infom01-amd64.debian.net.
Sat Mar 15 01:10:10 UTC 2025  I: pyusid_0.0.12-3_amd64.changes:
Format: 1.8
Date: Fri, 14 Mar 2025 15:22:14 +0100
Source: pyusid
Binary: python3-pyusid
Architecture: all
Version: 0.0.12-3
Distribution: unstable
Urgency: medium
Maintainer: Debian PaN Maintainers <debian-pan-maintainers@alioth-lists.debian.net>
Changed-By: Roland Mas <lolando@debian.org>
Description:
 python3-pyusid - Universal Spectroscopic and Imaging Data (USID) for Python
Closes: 1095092
Changes:
 pyusid (0.0.12-3) unstable; urgency=medium
 .
   * Bug fix: "autopkgtests fail with numpy 2.x", thanks to Andrey
     Rakhmatullin (Closes: #1095092).
Checksums-Sha1:
 5b87a76e2304b1c55b08b61ffc673d438970d38c 54180 python3-pyusid_0.0.12-3_all.deb
 5e118759e52afc92c02c7dae75b021b3bbb12f6f 11575 pyusid_0.0.12-3_amd64.buildinfo
Checksums-Sha256:
 79fbf3f9fcaecb52e8033b468f8dbf81ae6a4dc91bd579fd8aa8d272bed50184 54180 python3-pyusid_0.0.12-3_all.deb
 164097471f82d973a3a47ea32e7433e6e063c50649a22afdd054ad0b50fdeed3 11575 pyusid_0.0.12-3_amd64.buildinfo
Files:
 2b9f2a140b56b21f0afe3e521d6c1f52 54180 python optional python3-pyusid_0.0.12-3_all.deb
 4c50514e8973f7156f63959dfa11d3b7 11575 python optional pyusid_0.0.12-3_amd64.buildinfo
Sat Mar 15 01:10:11 UTC 2025  I: diffoscope 289 will be used to compare the two builds:
Running as unit: rb-diffoscope-amd64_36-51923.service
# Profiling output for: /usr/bin/diffoscope --timeout 7200 --html /srv/reproducible-results/rbuild-debian/r-b-build.Lv9C6hqB/pyusid_0.0.12-3.diffoscope.html --text /srv/reproducible-results/rbuild-debian/r-b-build.Lv9C6hqB/pyusid_0.0.12-3.diffoscope.txt --json /srv/reproducible-results/rbuild-debian/r-b-build.Lv9C6hqB/pyusid_0.0.12-3.diffoscope.json --profile=- /srv/reproducible-results/rbuild-debian/r-b-build.Lv9C6hqB/b1/pyusid_0.0.12-3_amd64.changes /srv/reproducible-results/rbuild-debian/r-b-build.Lv9C6hqB/b2/pyusid_0.0.12-3_amd64.changes

## command (total time: 0.000s)
       0.000s      1 call     cmp (internal)

## has_same_content_as (total time: 0.000s)
       0.000s      1 call     diffoscope.comparators.binary.FilesystemFile

## main (total time: 0.003s)
       0.003s      2 calls    outputs
       0.000s      1 call     cleanup
Finished with result: success
Main processes terminated with: code=exited/status=0
Service runtime: 262ms
CPU time consumed: 260ms
Sat Mar 15 01:48:25 UTC 2025  I: diffoscope 289 found no differences in the changes files, and a .buildinfo file also exists.
Sat Mar 15 01:48:25 UTC 2025  I: pyusid from unstable built successfully and reproducibly on amd64.
Sat Mar 15 01:48:27 UTC 2025  I: Submitting .buildinfo files to external archives:
Sat Mar 15 01:48:27 UTC 2025  I: Submitting 16K	b1/pyusid_0.0.12-3_amd64.buildinfo.asc
Sat Mar 15 01:48:31 UTC 2025  I: Submitting 16K	b2/pyusid_0.0.12-3_amd64.buildinfo.asc
Sat Mar 15 01:48:41 UTC 2025  I: Done submitting .buildinfo files to http://buildinfo.debian.net/api/submit.
Sat Mar 15 01:48:41 UTC 2025  I: Done submitting .buildinfo files.
Sat Mar 15 01:48:41 UTC 2025  I: Removing signed pyusid_0.0.12-3_amd64.buildinfo.asc files:
removed './b1/pyusid_0.0.12-3_amd64.buildinfo.asc'
removed './b2/pyusid_0.0.12-3_amd64.buildinfo.asc'