Wed Mar 19 06:23:26 UTC 2025 I: starting to build pyusid/trixie/arm64 on jenkins on '2025-03-19 06:23'
Wed Mar 19 06:23:26 UTC 2025 I: The jenkins build log is/was available at https://jenkins.debian.net/userContent/reproducible/debian/build_service/arm64_5/86545/console.log
Wed Mar 19 06:23:26 UTC 2025 I: Downloading source for trixie/pyusid=0.0.12-3
--2025-03-19 06:23:26-- 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’
0K .. 100% 317M=0s
2025-03-19 06:23:26 (317 MB/s) - ‘pyusid_0.0.12-3.dsc’ saved [2169/2169]
Wed Mar 19 06:23:26 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:
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2c10b5af18be6aff67778afa95a9ea57 4068 pyusid_0.0.12-3.debian.tar.xz
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Wed Mar 19 06:23:26 UTC 2025 I: Checking whether the package is not for us
Wed Mar 19 06:23:26 UTC 2025 I: Starting 1st build on remote node codethink03-arm64.debian.net.
Wed Mar 19 06:23:26 UTC 2025 I: Preparing to do remote build '1' on codethink03-arm64.debian.net.
Wed Mar 19 06:25:23 UTC 2025 I: Deleting $TMPDIR on codethink03-arm64.debian.net.
I: pbuilder: network access will be disabled during build
I: Current time: Tue Apr 21 00:46:29 -12 2026
I: pbuilder-time-stamp: 1776775589
I: Building the build Environment
I: extracting base tarball [/var/cache/pbuilder/trixie-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/2403513/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='arm64'
DEBIAN_FRONTEND='noninteractive'
DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all parallel=12 '
DISTRIBUTION='trixie'
HOME='/root'
HOST_ARCH='arm64'
IFS='
'
INVOCATION_ID='1ad8e3dc9e214698a87b0798d98c5a4c'
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='2403513'
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.bHnVOUy1/pbuilderrc_djJy --distribution trixie --hookdir /etc/pbuilder/first-build-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/trixie-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.bHnVOUy1/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'
http_proxy='http://192.168.101.4:3128'
I: uname -a
Linux codethink03-arm64 6.1.0-32-cloud-arm64 #1 SMP Debian 6.1.129-1 (2025-03-06) aarch64 GNU/Linux
I: ls -l /bin
lrwxrwxrwx 1 root root 7 Mar 4 2025 /bin -> usr/bin
I: user script /srv/workspace/pbuilder/2403513/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: arm64
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 ... 19899 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} libicu72{a} libidn2-0{a} libimagequant0{a} libjbig0{a} libjpeg62-turbo{a} libjs-bootstrap{a} libjs-jquery{a} libjs-jquery-ui{a} libjson-c5{a} libk5crypto3{a} libkeyutils1{a} libkrb5-3{a} libkrb5support0{a} liblapack3{a} liblbfgsb0{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 142 MB of archives. After unpacking 598 MB will be used.
Writing extended state information...
Get: 1 http://deb.debian.org/debian trixie/main arm64 libtext-charwidth-perl arm64 0.04-11+b4 [9652 B]
Get: 2 http://deb.debian.org/debian trixie/main arm64 libtext-wrapi18n-perl all 0.06-10 [8808 B]
Get: 3 http://deb.debian.org/debian trixie/main arm64 libproc2-0 arm64 2:4.0.4-7 [62.4 kB]
Get: 4 http://deb.debian.org/debian trixie/main arm64 procps arm64 2:4.0.4-7 [868 kB]
Get: 5 http://deb.debian.org/debian trixie/main arm64 sensible-utils all 0.0.24 [24.8 kB]
Get: 6 http://deb.debian.org/debian trixie/main arm64 ucf all 3.0050 [42.7 kB]
Get: 7 http://deb.debian.org/debian trixie/main arm64 libdebuginfod-common all 0.192-4 [23.7 kB]
Get: 8 http://deb.debian.org/debian trixie/main arm64 libpython3.13-minimal arm64 3.13.2-2 [853 kB]
Get: 9 http://deb.debian.org/debian trixie/main arm64 libexpat1 arm64 2.6.4-1 [90.7 kB]
Get: 10 http://deb.debian.org/debian trixie/main arm64 python3.13-minimal arm64 3.13.2-2 [1995 kB]
Get: 11 http://deb.debian.org/debian trixie/main arm64 python3-minimal arm64 3.13.2-2 [27.1 kB]
Get: 12 http://deb.debian.org/debian trixie/main arm64 media-types all 13.0.0 [29.3 kB]
Get: 13 http://deb.debian.org/debian trixie/main arm64 netbase all 6.5 [12.4 kB]
Get: 14 http://deb.debian.org/debian trixie/main arm64 tzdata all 2025a-2 [259 kB]
Get: 15 http://deb.debian.org/debian trixie/main arm64 libffi8 arm64 3.4.7-1 [21.2 kB]
Get: 16 http://deb.debian.org/debian trixie/main arm64 readline-common all 8.2-6 [69.4 kB]
Get: 17 http://deb.debian.org/debian trixie/main arm64 libreadline8t64 arm64 8.2-6 [159 kB]
Get: 18 http://deb.debian.org/debian trixie/main arm64 libpython3.13-stdlib arm64 3.13.2-2 [1888 kB]
Get: 19 http://deb.debian.org/debian trixie/main arm64 python3.13 arm64 3.13.2-2 [746 kB]
Get: 20 http://deb.debian.org/debian trixie/main arm64 libpython3-stdlib arm64 3.13.2-2 [10.1 kB]
Get: 21 http://deb.debian.org/debian trixie/main arm64 python3 arm64 3.13.2-2 [28.1 kB]
Get: 22 http://deb.debian.org/debian trixie/main arm64 python3-numpy-dev arm64 1:2.2.3+ds-5 [136 kB]
Get: 23 http://deb.debian.org/debian trixie/main arm64 libblas3 arm64 3.12.1-2 [104 kB]
Get: 24 http://deb.debian.org/debian trixie/main arm64 libgfortran5 arm64 14.2.0-17 [361 kB]
Get: 25 http://deb.debian.org/debian trixie/main arm64 liblapack3 arm64 3.12.1-2 [1819 kB]
Get: 26 http://deb.debian.org/debian trixie/main arm64 python3-numpy arm64 1:2.2.3+ds-5 [3596 kB]
Get: 27 http://deb.debian.org/debian trixie/main arm64 openssl arm64 3.4.1-1 [1390 kB]
Get: 28 http://deb.debian.org/debian trixie/main arm64 ca-certificates all 20241223 [164 kB]
Get: 29 http://deb.debian.org/debian trixie/main arm64 libmagic-mgc arm64 1:5.45-3+b1 [314 kB]
Get: 30 http://deb.debian.org/debian trixie/main arm64 libmagic1t64 arm64 1:5.45-3+b1 [102 kB]
Get: 31 http://deb.debian.org/debian trixie/main arm64 file arm64 1:5.45-3+b1 [43.4 kB]
Get: 32 http://deb.debian.org/debian trixie/main arm64 gettext-base arm64 0.23.1-1 [241 kB]
Get: 33 http://deb.debian.org/debian trixie/main arm64 libuchardet0 arm64 0.0.8-1+b2 [69.2 kB]
Get: 34 http://deb.debian.org/debian trixie/main arm64 groff-base arm64 1.23.0-7 [1129 kB]
Get: 35 http://deb.debian.org/debian trixie/main arm64 bsdextrautils arm64 2.40.4-5 [92.0 kB]
Get: 36 http://deb.debian.org/debian trixie/main arm64 libpipeline1 arm64 1.5.8-1 [40.2 kB]
Get: 37 http://deb.debian.org/debian trixie/main arm64 man-db arm64 2.13.0-1 [1404 kB]
Get: 38 http://deb.debian.org/debian trixie/main arm64 m4 arm64 1.4.19-7 [285 kB]
Get: 39 http://deb.debian.org/debian trixie/main arm64 autoconf all 2.72-3 [493 kB]
Get: 40 http://deb.debian.org/debian trixie/main arm64 autotools-dev all 20220109.1 [51.6 kB]
Get: 41 http://deb.debian.org/debian trixie/main arm64 automake all 1:1.17-3 [862 kB]
Get: 42 http://deb.debian.org/debian trixie/main arm64 autopoint all 0.23.1-1 [770 kB]
Get: 43 http://deb.debian.org/debian trixie/main arm64 libtcl8.6 arm64 8.6.16+dfsg-1 [984 kB]
Get: 44 http://deb.debian.org/debian trixie/main arm64 libbrotli1 arm64 1.1.0-2+b7 [308 kB]
Get: 45 http://deb.debian.org/debian trixie/main arm64 libpng16-16t64 arm64 1.6.47-1.1 [274 kB]
Get: 46 http://deb.debian.org/debian trixie/main arm64 libfreetype6 arm64 2.13.3+dfsg-1 [422 kB]
Get: 47 http://deb.debian.org/debian trixie/main arm64 fonts-dejavu-mono all 2.37-8 [489 kB]
Get: 48 http://deb.debian.org/debian trixie/main arm64 fonts-dejavu-core all 2.37-8 [840 kB]
Get: 49 http://deb.debian.org/debian trixie/main arm64 fontconfig-config arm64 2.15.0-2.1 [318 kB]
Get: 50 http://deb.debian.org/debian trixie/main arm64 libfontconfig1 arm64 2.15.0-2.1 [387 kB]
Get: 51 http://deb.debian.org/debian trixie/main arm64 libxau6 arm64 1:1.0.11-1 [20.6 kB]
Get: 52 http://deb.debian.org/debian trixie/main arm64 libxdmcp6 arm64 1:1.1.5-1 [27.8 kB]
Get: 53 http://deb.debian.org/debian trixie/main arm64 libxcb1 arm64 1.17.0-2+b1 [143 kB]
Get: 54 http://deb.debian.org/debian trixie/main arm64 libx11-data all 2:1.8.10-2 [337 kB]
Get: 55 http://deb.debian.org/debian trixie/main arm64 libx11-6 arm64 2:1.8.10-2 [789 kB]
Get: 56 http://deb.debian.org/debian trixie/main arm64 libxrender1 arm64 1:0.9.10-1.1+b4 [27.2 kB]
Get: 57 http://deb.debian.org/debian trixie/main arm64 libxft2 arm64 2.3.6-1+b4 [51.6 kB]
Get: 58 http://deb.debian.org/debian trixie/main arm64 libxext6 arm64 2:1.3.4-1+b3 [49.2 kB]
Get: 59 http://deb.debian.org/debian trixie/main arm64 x11-common all 1:7.7+24 [217 kB]
Get: 60 http://deb.debian.org/debian trixie/main arm64 libxss1 arm64 1:1.2.3-1+b3 [17.1 kB]
Get: 61 http://deb.debian.org/debian trixie/main arm64 libtk8.6 arm64 8.6.16-1 [741 kB]
Get: 62 http://deb.debian.org/debian trixie/main arm64 tk8.6-blt2.5 arm64 2.5.3+dfsg-8 [537 kB]
Get: 63 http://deb.debian.org/debian trixie/main arm64 blt arm64 2.5.3+dfsg-8 [5984 B]
Get: 64 http://deb.debian.org/debian trixie/main arm64 libdebhelper-perl all 13.24.1 [90.9 kB]
Get: 65 http://deb.debian.org/debian trixie/main arm64 libtool all 2.5.4-4 [539 kB]
Get: 66 http://deb.debian.org/debian trixie/main arm64 dh-autoreconf all 20 [17.1 kB]
Get: 67 http://deb.debian.org/debian trixie/main arm64 libarchive-zip-perl all 1.68-1 [104 kB]
Get: 68 http://deb.debian.org/debian trixie/main arm64 libfile-stripnondeterminism-perl all 1.14.1-2 [19.7 kB]
Get: 69 http://deb.debian.org/debian trixie/main arm64 dh-strip-nondeterminism all 1.14.1-2 [8620 B]
Get: 70 http://deb.debian.org/debian trixie/main arm64 libelf1t64 arm64 0.192-4 [189 kB]
Get: 71 http://deb.debian.org/debian trixie/main arm64 dwz arm64 0.15-1+b1 [102 kB]
Get: 72 http://deb.debian.org/debian trixie/main arm64 libunistring5 arm64 1.3-1 [449 kB]
Get: 73 http://deb.debian.org/debian trixie/main arm64 libicu72 arm64 72.1-6 [9239 kB]
Get: 74 http://deb.debian.org/debian trixie/main arm64 libxml2 arm64 2.12.7+dfsg+really2.9.14-0.2+b2 [630 kB]
Get: 75 http://deb.debian.org/debian trixie/main arm64 gettext arm64 0.23.1-1 [1610 kB]
Get: 76 http://deb.debian.org/debian trixie/main arm64 intltool-debian all 0.35.0+20060710.6 [22.9 kB]
Get: 77 http://deb.debian.org/debian trixie/main arm64 po-debconf all 1.0.21+nmu1 [248 kB]
Get: 78 http://deb.debian.org/debian trixie/main arm64 debhelper all 13.24.1 [920 kB]
Get: 79 http://deb.debian.org/debian trixie/main arm64 dh-python all 6.20250308 [115 kB]
Get: 80 http://deb.debian.org/debian trixie/main arm64 fonts-font-awesome all 5.0.10+really4.7.0~dfsg-4.1 [517 kB]
Get: 81 http://deb.debian.org/debian trixie/main arm64 fonts-glyphicons-halflings all 1.009~3.4.1+dfsg-3 [162 kB]
Get: 82 http://deb.debian.org/debian trixie/main arm64 fonts-lyx all 2.4.3-1 [190 kB]
Get: 83 http://deb.debian.org/debian trixie/main arm64 libdw1t64 arm64 0.192-4 [237 kB]
Get: 84 http://deb.debian.org/debian trixie/main arm64 libglib2.0-0t64 arm64 2.84.0-2 [1424 kB]
Get: 85 http://deb.debian.org/debian trixie/main arm64 libbabeltrace1 arm64 1.5.11-4+b2 [164 kB]
Get: 86 http://deb.debian.org/debian trixie/main arm64 libidn2-0 arm64 2.3.8-1 [107 kB]
Get: 87 http://deb.debian.org/debian trixie/main arm64 libp11-kit0 arm64 0.25.5-3 [409 kB]
Get: 88 http://deb.debian.org/debian trixie/main arm64 libtasn1-6 arm64 4.20.0-2 [47.3 kB]
Get: 89 http://deb.debian.org/debian trixie/main arm64 libgnutls30t64 arm64 3.8.9-2 [1374 kB]
Get: 90 http://deb.debian.org/debian trixie/main arm64 libkrb5support0 arm64 1.21.3-5 [32.4 kB]
Get: 91 http://deb.debian.org/debian trixie/main arm64 libcom-err2 arm64 1.47.2-1 [23.9 kB]
Get: 92 http://deb.debian.org/debian trixie/main arm64 libk5crypto3 arm64 1.21.3-5 [81.2 kB]
Get: 93 http://deb.debian.org/debian trixie/main arm64 libkeyutils1 arm64 1.6.3-4 [9352 B]
Get: 94 http://deb.debian.org/debian trixie/main arm64 libkrb5-3 arm64 1.21.3-5 [308 kB]
Get: 95 http://deb.debian.org/debian trixie/main arm64 libgssapi-krb5-2 arm64 1.21.3-5 [127 kB]
Get: 96 http://deb.debian.org/debian trixie/main arm64 libsasl2-modules-db arm64 2.1.28+dfsg1-9 [20.1 kB]
Get: 97 http://deb.debian.org/debian trixie/main arm64 libsasl2-2 arm64 2.1.28+dfsg1-9 [55.6 kB]
Get: 98 http://deb.debian.org/debian trixie/main arm64 libldap2 arm64 2.6.9+dfsg-2 [179 kB]
Get: 99 http://deb.debian.org/debian trixie/main arm64 libnghttp2-14 arm64 1.64.0-1 [71.3 kB]
Get: 100 http://deb.debian.org/debian trixie/main arm64 libnghttp3-9 arm64 1.8.0-1 [63.2 kB]
Get: 101 http://deb.debian.org/debian trixie/main arm64 libngtcp2-16 arm64 1.11.0-1 [121 kB]
Get: 102 http://deb.debian.org/debian trixie/main arm64 libngtcp2-crypto-gnutls8 arm64 1.11.0-1 [28.2 kB]
Get: 103 http://deb.debian.org/debian trixie/main arm64 libpsl5t64 arm64 0.21.2-1.1+b1 [57.1 kB]
Get: 104 http://deb.debian.org/debian trixie/main arm64 librtmp1 arm64 2.4+20151223.gitfa8646d.1-2+b5 [56.8 kB]
Get: 105 http://deb.debian.org/debian trixie/main arm64 libssh2-1t64 arm64 1.11.1-1 [235 kB]
Get: 106 http://deb.debian.org/debian trixie/main arm64 libcurl3t64-gnutls arm64 8.12.1-3 [336 kB]
Get: 107 http://deb.debian.org/debian trixie/main arm64 libjson-c5 arm64 0.18+ds-1 [45.2 kB]
Get: 108 http://deb.debian.org/debian trixie/main arm64 libdebuginfod1t64 arm64 0.192-4 [31.3 kB]
Get: 109 http://deb.debian.org/debian trixie/main arm64 libpython3.13 arm64 3.13.2-2 [1972 kB]
Get: 110 http://deb.debian.org/debian trixie/main arm64 libsource-highlight-common all 3.1.9-4.3 [77.5 kB]
Get: 111 http://deb.debian.org/debian trixie/main arm64 libsource-highlight4t64 arm64 3.1.9-4.3+b1 [294 kB]
Get: 112 http://deb.debian.org/debian trixie/main arm64 gdb arm64 16.2-2 [4554 kB]
Get: 113 http://deb.debian.org/debian trixie/main arm64 libaec0 arm64 1.1.3-1+b1 [22.5 kB]
Get: 114 http://deb.debian.org/debian trixie/main arm64 libcurl4t64 arm64 8.12.1-3 [339 kB]
Get: 115 http://deb.debian.org/debian trixie/main arm64 libdeflate0 arm64 1.23-1+b1 [42.5 kB]
Get: 116 http://deb.debian.org/debian trixie/main arm64 libfribidi0 arm64 1.0.16-1 [26.5 kB]
Get: 117 http://deb.debian.org/debian trixie/main arm64 libgpg-error0 arm64 1.51-3 [78.5 kB]
Get: 118 http://deb.debian.org/debian trixie/main arm64 libgcrypt20 arm64 1.11.0-7 [742 kB]
Get: 119 http://deb.debian.org/debian trixie/main arm64 libgraphite2-3 arm64 1.3.14-2+b1 [70.4 kB]
Get: 120 http://deb.debian.org/debian trixie/main arm64 libharfbuzz0b arm64 10.2.0-1+b1 [442 kB]
Get: 121 http://deb.debian.org/debian trixie/main arm64 libsz2 arm64 1.1.3-1+b1 [8044 B]
Get: 122 http://deb.debian.org/debian trixie/main arm64 libhdf5-310 arm64 1.14.5+repack-3 [1155 kB]
Get: 123 http://deb.debian.org/debian trixie/main arm64 libhdf5-hl-310 arm64 1.14.5+repack-3 [66.1 kB]
Get: 124 http://deb.debian.org/debian trixie/main arm64 libimagequant0 arm64 2.18.0-1+b2 [34.6 kB]
Get: 125 http://deb.debian.org/debian trixie/main arm64 libjbig0 arm64 2.1-6.1+b2 [30.4 kB]
Get: 126 http://deb.debian.org/debian trixie/main arm64 libjpeg62-turbo arm64 1:2.1.5-3.1 [173 kB]
Get: 127 http://deb.debian.org/debian trixie/main arm64 libjs-bootstrap all 3.4.1+dfsg-3 [172 kB]
Get: 128 http://deb.debian.org/debian trixie/main arm64 libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [326 kB]
Get: 129 http://deb.debian.org/debian trixie/main arm64 libjs-jquery-ui all 1.13.2+dfsg-1 [250 kB]
Get: 130 http://deb.debian.org/debian trixie/main arm64 liblbfgsb0 arm64 3.0+dfsg.4-1+b2 [25.6 kB]
Get: 131 http://deb.debian.org/debian trixie/main arm64 liblcms2-2 arm64 2.16-2 [151 kB]
Get: 132 http://deb.debian.org/debian trixie/main arm64 liblerc4 arm64 4.0.0+ds-5 [146 kB]
Get: 133 http://deb.debian.org/debian trixie/main arm64 liblzf1 arm64 3.6-4+b3 [10.1 kB]
Get: 134 http://deb.debian.org/debian trixie/main arm64 libnorm1t64 arm64 1.5.9+dfsg-3.1+b2 [205 kB]
Get: 135 http://deb.debian.org/debian trixie/main arm64 libopenjp2-7 arm64 2.5.3-2 [190 kB]
Get: 136 http://deb.debian.org/debian trixie/main arm64 libpgm-5.3-0t64 arm64 5.3.128~dfsg-2.1+b1 [152 kB]
Get: 137 http://deb.debian.org/debian trixie/main arm64 libqhull-r8.0 arm64 2020.2-6+b2 [229 kB]
Get: 138 http://deb.debian.org/debian trixie/main arm64 libraqm0 arm64 0.10.2-1 [13.6 kB]
Get: 139 http://deb.debian.org/debian trixie/main arm64 libsharpyuv0 arm64 1.5.0-0.1 [114 kB]
Get: 140 http://deb.debian.org/debian trixie/main arm64 libsodium23 arm64 1.0.18-1+b2 [121 kB]
Get: 141 http://deb.debian.org/debian trixie/main arm64 libsymspg2 arm64 2.6.0-1 [190 kB]
Get: 142 http://deb.debian.org/debian trixie/main arm64 libwebp7 arm64 1.5.0-0.1 [271 kB]
Get: 143 http://deb.debian.org/debian trixie/main arm64 libtiff6 arm64 4.5.1+git230720-5 [309 kB]
Get: 144 http://deb.debian.org/debian trixie/main arm64 libwebpdemux2 arm64 1.5.0-0.1 [113 kB]
Get: 145 http://deb.debian.org/debian trixie/main arm64 libwebpmux3 arm64 1.5.0-0.1 [125 kB]
Get: 146 http://deb.debian.org/debian trixie/main arm64 libxslt1.1 arm64 1.1.35-1.1+b1 [222 kB]
Get: 147 http://deb.debian.org/debian trixie/main arm64 libyaml-0-2 arm64 0.2.5-2 [49.2 kB]
Get: 148 http://deb.debian.org/debian trixie/main arm64 libzmq5 arm64 4.3.5-1+b3 [253 kB]
Get: 149 http://deb.debian.org/debian trixie/main arm64 python3-packaging all 24.2-1 [55.3 kB]
Get: 150 http://deb.debian.org/debian trixie/main arm64 python3-pyproject-hooks all 1.2.0-1 [11.7 kB]
Get: 151 http://deb.debian.org/debian trixie/main arm64 python3-toml all 0.10.2-1 [16.2 kB]
Get: 152 http://deb.debian.org/debian trixie/main arm64 python3-wheel all 0.45.1-1 [56.7 kB]
Get: 153 http://deb.debian.org/debian trixie/main arm64 python3-build all 1.2.2-1 [36.0 kB]
Get: 154 http://deb.debian.org/debian trixie/main arm64 python3-installer all 0.7.0+dfsg1-3 [18.6 kB]
Get: 155 http://deb.debian.org/debian trixie/main arm64 pybuild-plugin-pyproject all 6.20250308 [11.7 kB]
Get: 156 http://deb.debian.org/debian trixie/main arm64 python-matplotlib-data all 3.8.3-7 [2735 kB]
Get: 157 http://deb.debian.org/debian trixie/main arm64 python3-all arm64 3.13.2-2 [1044 B]
Get: 158 http://deb.debian.org/debian trixie/main arm64 python3-decorator all 5.1.1-5 [15.1 kB]
Get: 159 http://deb.debian.org/debian trixie/main arm64 python3-scipy arm64 1.14.1-4+b1 [15.8 MB]
Get: 160 http://deb.debian.org/debian trixie/main arm64 python3-typing-extensions all 4.12.2-2 [73.0 kB]
Get: 161 http://deb.debian.org/debian trixie/main arm64 python3-spglib arm64 2.6.0-1 [52.8 kB]
Get: 162 http://deb.debian.org/debian trixie/main arm64 python3-dateutil all 2.9.0-3 [79.3 kB]
Get: 163 http://deb.debian.org/debian trixie/main arm64 python3-pil arm64 11.1.0-5+b1 [495 kB]
Get: 164 http://deb.debian.org/debian trixie/main arm64 python3.13-tk arm64 3.13.2-2 [105 kB]
Get: 165 http://deb.debian.org/debian trixie/main arm64 python3-tk arm64 3.13.2-1 [9516 B]
Get: 166 http://deb.debian.org/debian trixie/main arm64 python3-pil.imagetk arm64 11.1.0-5+b1 [81.8 kB]
Get: 167 http://deb.debian.org/debian trixie/main arm64 python3-pyparsing all 3.1.2-1 [146 kB]
Get: 168 http://deb.debian.org/debian trixie/main arm64 python3-contourpy arm64 1.3.1-1+b1 [190 kB]
Get: 169 http://deb.debian.org/debian trixie/main arm64 python3-cycler all 0.12.1-1 [9496 B]
Get: 170 http://deb.debian.org/debian trixie/main arm64 python3-brotli arm64 1.1.0-2+b7 [300 kB]
Get: 171 http://deb.debian.org/debian trixie/main arm64 python3-platformdirs all 4.3.6-1 [16.6 kB]
Get: 172 http://deb.debian.org/debian trixie/main arm64 python3-fs all 2.4.16-7 [95.2 kB]
Get: 173 http://deb.debian.org/debian trixie/main arm64 python3-lxml arm64 5.3.1-1+b1 [1139 kB]
Get: 174 http://deb.debian.org/debian trixie/main arm64 python3-lz4 arm64 4.4.0+dfsg-1+b1 [25.6 kB]
Get: 175 http://deb.debian.org/debian trixie/main arm64 python3-mpmath all 1.3.0-1 [419 kB]
Get: 176 http://deb.debian.org/debian trixie/main arm64 python3-sympy all 1.13.3-5 [4148 kB]
Get: 177 http://deb.debian.org/debian trixie/main arm64 python3-attr all 25.1.0-1 [68.7 kB]
Get: 178 http://deb.debian.org/debian trixie/main arm64 python3-ufolib2 all 0.17.0+dfsg1-1 [33.0 kB]
Get: 179 http://deb.debian.org/debian trixie/main arm64 unicode-data all 15.1.0-1 [8547 kB]
Get: 180 http://deb.debian.org/debian trixie/main arm64 python3-fonttools arm64 4.55.3-2+b1 [1381 kB]
Get: 181 http://deb.debian.org/debian trixie/main arm64 python3-kiwisolver arm64 1.4.7-3+b1 [57.8 kB]
Get: 182 http://deb.debian.org/debian trixie/main arm64 python3-matplotlib arm64 3.8.3-7+b1 [22.9 MB]
Get: 183 http://deb.debian.org/debian trixie/main arm64 python3-ase all 3.24.0-1 [1730 kB]
Get: 184 http://deb.debian.org/debian trixie/main arm64 python3-asttokens all 3.0.0-1 [20.1 kB]
Get: 185 http://deb.debian.org/debian trixie/main arm64 python3-autocommand all 2.2.2-3 [13.6 kB]
Get: 186 http://deb.debian.org/debian trixie/main arm64 python3-cffi-backend arm64 1.17.1-2+b2 [92.7 kB]
Get: 187 http://deb.debian.org/debian trixie/main arm64 python3-click all 8.2.0+0.really.8.1.8-1 [95.4 kB]
Get: 188 http://deb.debian.org/debian trixie/main arm64 python3-cloudpickle all 3.1.1-1 [26.6 kB]
Get: 189 http://deb.debian.org/debian trixie/main arm64 python3-traitlets all 5.14.3+really5.14.3-1 [70.9 kB]
Get: 190 http://deb.debian.org/debian trixie/main arm64 python3-comm all 0.2.1-1 [8104 B]
Get: 191 http://deb.debian.org/debian trixie/main arm64 python3-coverage arm64 7.6.0+dfsg1-2+b2 [175 kB]
Get: 192 http://deb.debian.org/debian trixie/main arm64 python3-toolz all 1.0.0-2 [44.2 kB]
Get: 193 http://deb.debian.org/debian trixie/main arm64 python3-cytoolz arm64 1.0.1-1+b1 [269 kB]
Get: 194 http://deb.debian.org/debian trixie/main arm64 python3-fsspec all 2025.3.0-1 [215 kB]
Get: 195 http://deb.debian.org/debian trixie/main arm64 python3-locket all 1.0.0-2 [5820 B]
Get: 196 http://deb.debian.org/debian trixie/main arm64 python3-partd all 1.4.2-1 [15.4 kB]
Get: 197 http://deb.debian.org/debian trixie/main arm64 python3-yaml arm64 6.0.2-1+b2 [122 kB]
Get: 198 http://deb.debian.org/debian trixie/main arm64 python3-dask all 2024.12.1+dfsg-2 [984 kB]
Get: 199 http://deb.debian.org/debian trixie/main arm64 python3-debugpy arm64 1.8.8+ds-2 [980 kB]
Get: 200 http://deb.debian.org/debian trixie/main arm64 python3-markupsafe arm64 2.1.5-1+b4 [14.1 kB]
Get: 201 http://deb.debian.org/debian trixie/main arm64 python3-jinja2 all 3.1.5-2 [107 kB]
Get: 202 http://deb.debian.org/debian trixie/main arm64 python3-msgpack arm64 1.0.3-3+b5 [77.4 kB]
Get: 203 http://deb.debian.org/debian trixie/main arm64 python3-psutil arm64 5.9.8-2+b1 [226 kB]
Get: 204 http://deb.debian.org/debian trixie/main arm64 python3-sortedcontainers all 2.4.0-2 [31.9 kB]
Get: 205 http://deb.debian.org/debian trixie/main arm64 python3-tblib all 3.0.0-6 [13.8 kB]
Get: 206 http://deb.debian.org/debian trixie/main arm64 python3-tornado arm64 6.4.2-1 [349 kB]
Get: 207 http://deb.debian.org/debian trixie/main arm64 python3-urllib3 all 2.3.0-2 [114 kB]
Get: 208 http://deb.debian.org/debian trixie/main arm64 python3-zict all 3.0.0-2 [29.7 kB]
Get: 209 http://deb.debian.org/debian trixie/main arm64 python3-distributed all 2024.12.1+ds-1 [1162 kB]
Get: 210 http://deb.debian.org/debian trixie/main arm64 python3-executing all 2.2.0-0.1 [24.5 kB]
Get: 211 http://deb.debian.org/debian trixie/main arm64 python3-h5py-serial arm64 3.13.0-1+b1 [953 kB]
Get: 212 http://deb.debian.org/debian trixie/main arm64 python3-h5py all 3.13.0-1 [15.0 kB]
Get: 213 http://deb.debian.org/debian trixie/main arm64 python3-more-itertools all 10.6.0-1 [65.3 kB]
Get: 214 http://deb.debian.org/debian trixie/main arm64 python3-typeguard all 4.4.2-1 [37.3 kB]
Get: 215 http://deb.debian.org/debian trixie/main arm64 python3-inflect all 7.3.1-2 [32.4 kB]
Get: 216 http://deb.debian.org/debian trixie/main arm64 python3-parso all 0.8.4-1 [67.8 kB]
Get: 217 http://deb.debian.org/debian trixie/main arm64 python3-typeshed all 0.0~git20241223.ea91db2-1 [1530 kB]
Get: 218 http://deb.debian.org/debian trixie/main arm64 python3-jedi all 0.19.1+ds1-1 [691 kB]
Get: 219 http://deb.debian.org/debian trixie/main arm64 python3-matplotlib-inline all 0.1.6-2 [8652 B]
Get: 220 http://deb.debian.org/debian trixie/main arm64 python3-wcwidth all 0.2.13+dfsg1-1 [24.9 kB]
Get: 221 http://deb.debian.org/debian trixie/main arm64 python3-prompt-toolkit all 3.0.50-1 [278 kB]
Get: 222 http://deb.debian.org/debian trixie/main arm64 python3-pygments all 2.18.0+dfsg-2 [836 kB]
Get: 223 http://deb.debian.org/debian trixie/main arm64 python3-pure-eval all 0.2.3-1 [11.2 kB]
Get: 224 http://deb.debian.org/debian trixie/main arm64 python3-stack-data all 0.6.3-1 [21.6 kB]
Get: 225 http://deb.debian.org/debian trixie/main arm64 python3-ptyprocess all 0.7.0-6 [14.5 kB]
Get: 226 http://deb.debian.org/debian trixie/main arm64 python3-pexpect all 4.9-3 [55.6 kB]
Get: 227 http://deb.debian.org/debian trixie/main arm64 python3-jaraco.context all 6.0.1-1 [8276 B]
Get: 228 http://deb.debian.org/debian trixie/main arm64 python3-jaraco.functools all 4.1.0-1 [12.0 kB]
Get: 229 http://deb.debian.org/debian trixie/main arm64 python3-pkg-resources all 75.8.0-1 [222 kB]
Get: 230 http://deb.debian.org/debian trixie/main arm64 python3-jaraco.text all 4.0.0-1 [11.4 kB]
Get: 231 http://deb.debian.org/debian trixie/main arm64 python3-zipp all 3.21.0-1 [10.6 kB]
Get: 232 http://deb.debian.org/debian trixie/main arm64 python3-setuptools all 75.8.0-1 [724 kB]
Get: 233 http://deb.debian.org/debian trixie/main arm64 python3-ipython all 8.30.0-2 [568 kB]
Get: 234 http://deb.debian.org/debian trixie/main arm64 python3-jupyter-core all 5.7.2-5 [35.3 kB]
Get: 235 http://deb.debian.org/debian trixie/main arm64 python3-zmq arm64 26.2.1-1+b1 [167 kB]
Get: 236 http://deb.debian.org/debian trixie/main arm64 python3-jupyter-client all 8.6.3-2 [92.4 kB]
Get: 237 http://deb.debian.org/debian trixie/main arm64 python3-nest-asyncio all 1.5.4-1 [6248 B]
Get: 238 http://deb.debian.org/debian trixie/main arm64 python3-ipykernel all 6.29.5-2 [102 kB]
Get: 239 http://deb.debian.org/debian trixie/main arm64 python3-jupyterlab-widgets all 8.1.5-6 [171 kB]
Get: 240 http://deb.debian.org/debian trixie/main arm64 python3-widgetsnbextension all 8.1.5-6 [851 kB]
Get: 241 http://deb.debian.org/debian trixie/main arm64 python3-ipywidgets all 8.1.5-6 [105 kB]
Get: 242 http://deb.debian.org/debian trixie/main arm64 python3-joblib all 1.4.2-3 [216 kB]
Get: 243 http://deb.debian.org/debian trixie/main arm64 python3-threadpoolctl all 3.1.0-1 [21.2 kB]
Get: 244 http://deb.debian.org/debian trixie/main arm64 python3-sklearn-lib arm64 1.4.2+dfsg-8 [3408 kB]
Get: 245 http://deb.debian.org/debian trixie/main arm64 python3-sklearn all 1.4.2+dfsg-8 [2248 kB]
Get: 246 http://deb.debian.org/debian trixie/main arm64 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'
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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.
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done.
Reading package lists...
Building dependency tree...
Reading state information...
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Initializing package states...
Writing extended state information...
Building tag database...
-> Finished parsing the build-deps
I: Building the package
I: Running cd /build/reproducible-path/pyusid-0.0.12/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-genchanges -S > ../pyusid_0.0.12-3_source.changes
dpkg-buildpackage: info: source package pyusid
dpkg-buildpackage: info: source version 0.0.12-3
dpkg-buildpackage: info: source distribution unstable
dpkg-buildpackage: info: source changed by Roland Mas <lolando@debian.org>
dpkg-source --before-build .
dpkg-buildpackage: info: host architecture arm64
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/__version__.py -> build/lib/pyUSID
copying pyUSID/__init__.py -> build/lib/pyUSID
creating build/lib/pyUSID/processing
copying pyUSID/processing/process.py -> build/lib/pyUSID/processing
copying pyUSID/processing/comp_utils.py -> build/lib/pyUSID/processing
copying pyUSID/processing/__init__.py -> build/lib/pyUSID/processing
creating build/lib/pyUSID/io
copying pyUSID/io/usi_data.py -> build/lib/pyUSID/io
copying pyUSID/io/reg_ref.py -> build/lib/pyUSID/io
copying pyUSID/io/image.py -> build/lib/pyUSID/io
copying pyUSID/io/dimension.py -> build/lib/pyUSID/io
copying pyUSID/io/array_translator.py -> build/lib/pyUSID/io
copying pyUSID/io/anc_build_utils.py -> build/lib/pyUSID/io
copying pyUSID/io/__init__.py -> build/lib/pyUSID/io
creating build/lib/pyUSID/io/hdf_utils
copying pyUSID/io/hdf_utils/simple.py -> build/lib/pyUSID/io/hdf_utils
copying pyUSID/io/hdf_utils/model.py -> build/lib/pyUSID/io/hdf_utils
copying pyUSID/io/hdf_utils/base.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-aarch64/wheel
running install
running install_lib
creating build/bdist.linux-aarch64/wheel
creating build/bdist.linux-aarch64/wheel/pyUSID
creating build/bdist.linux-aarch64/wheel/pyUSID/io
creating build/bdist.linux-aarch64/wheel/pyUSID/io/hdf_utils
copying build/lib/pyUSID/io/hdf_utils/__init__.py -> build/bdist.linux-aarch64/wheel/./pyUSID/io/hdf_utils
copying build/lib/pyUSID/io/hdf_utils/base.py -> build/bdist.linux-aarch64/wheel/./pyUSID/io/hdf_utils
copying build/lib/pyUSID/io/hdf_utils/model.py -> build/bdist.linux-aarch64/wheel/./pyUSID/io/hdf_utils
copying build/lib/pyUSID/io/hdf_utils/simple.py -> build/bdist.linux-aarch64/wheel/./pyUSID/io/hdf_utils
copying build/lib/pyUSID/io/__init__.py -> build/bdist.linux-aarch64/wheel/./pyUSID/io
copying build/lib/pyUSID/io/anc_build_utils.py -> build/bdist.linux-aarch64/wheel/./pyUSID/io
copying build/lib/pyUSID/io/array_translator.py -> build/bdist.linux-aarch64/wheel/./pyUSID/io
copying build/lib/pyUSID/io/dimension.py -> build/bdist.linux-aarch64/wheel/./pyUSID/io
copying build/lib/pyUSID/io/image.py -> build/bdist.linux-aarch64/wheel/./pyUSID/io
copying build/lib/pyUSID/io/reg_ref.py -> build/bdist.linux-aarch64/wheel/./pyUSID/io
copying build/lib/pyUSID/io/usi_data.py -> build/bdist.linux-aarch64/wheel/./pyUSID/io
creating build/bdist.linux-aarch64/wheel/pyUSID/processing
copying build/lib/pyUSID/processing/__init__.py -> build/bdist.linux-aarch64/wheel/./pyUSID/processing
copying build/lib/pyUSID/processing/comp_utils.py -> build/bdist.linux-aarch64/wheel/./pyUSID/processing
copying build/lib/pyUSID/processing/process.py -> build/bdist.linux-aarch64/wheel/./pyUSID/processing
copying build/lib/pyUSID/__init__.py -> build/bdist.linux-aarch64/wheel/./pyUSID
copying build/lib/pyUSID/__version__.py -> build/bdist.linux-aarch64/wheel/./pyUSID
running install_egg_info
Copying pyUSID.egg-info to build/bdist.linux-aarch64/wheel/./pyUSID-0.0.12.egg-info
running install_scripts
creating build/bdist.linux-aarch64/wheel/pyUSID-0.0.12.dist-info/WHEEL
creating '/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/.tmp-jknlpx1r/pyUSID-0.0.12-py2.py3-none-any.whl' and adding 'build/bdist.linux-aarch64/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-aarch64/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)
[148 193]
[[148]
[193]]
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)
[185 153]
[[185 153]]
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)
[ 15 155]
[[ 15]
[155]]
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)
[102 82]
[[102 82]]
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)
[ 7 127]
[[ 7]
[127]]
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)
[221 109]
[[221 109]]
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)
[214 70]
[[214]
[ 70]]
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)
[156 31]
[[156 31]]
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)
[[155 169 253]
[142 182 74]]
[[155]
[169]
[253]
[142]
[182]
[ 74]]
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)
[[ 32 159 39]
[248 180 214]]
[[ 32 159 39 248 180 214]]
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
26 26
226 226
[[ 0 0]
[ 1 0]
[ 2 0]
...
[ 61 127]
[ 62 127]
[ 63 127]]
[[0]]
[1 2] [1 2]
BICUBIC BICUBIC
False False
0 0
255 255
[[ 0 0]
[ 1 0]
[ 2 0]
...
[125 127]
[126 127]
[127 127]]
[[0]]
False False
0 0
254 254
[[ 0 0]
[ 1 0]
[ 2 0]
...
[125 255]
[126 255]
[127 255]]
[[0]]
False False
0 0
254 254
[[ 0 0]
[ 1 0]
[ 2 0]
...
[125 255]
[126 255]
[127 255]]
[[0]]
False False
0 0
254 254
[[ 0 0]
[ 1 0]
[ 2 0]
...
[125 255]
[126 255]
[127 255]]
[[0]]
False False
0 0
254 254
[[ 0 0]
[ 1 0]
[ 2 0]
...
[125 255]
[126 255]
[127 255]]
[[0]]
False False
0 0
254 254
[[ 0 0]
[ 1 0]
[ 2 0]
...
[125 255]
[126 255]
[127 255]]
[[0]]
[2 2] [2 2]
BICUBIC BICUBIC
True True
0.0 0.0
1.0 1.0
[[ 0 0]
[ 1 0]
[ 2 0]
...
[ 61 127]
[ 62 127]
[ 63 127]]
[[0]]
True True
0.0 0.0
1.0 1.0
[[ 0 0]
[ 1 0]
[ 2 0]
...
[125 255]
[126 255]
[127 255]]
(3, 5, 2, 7)
Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file
This class does NOT support interruption and resuming of computations.
In order to enable this feature, simply implement the _get_existing_datasets() function
Rank 0 - 100% complete. Time remaining: 0.0 msec
Finished processing the entire dataset!
Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file
Consider calling test() to check results before calling compute() which computes on the entire dataset and writes results to the HDF5 file/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying
warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying')
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references
warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates'
ok
test_compute (tests.processing.test_process.TestCoreProcessWExistResultsDiffParms.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying
warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying')
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references
warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates'
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying
warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying')
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references
warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates'
ok
test_duplicate_partial_results (tests.processing.test_process.TestCoreProcessWExistResultsDiffParms.test_duplicate_partial_results) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying
warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying')
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references
warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates'
ok
test_compute (tests.processing.test_process.TestCoreProcessWExistingPartResults.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying
warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying')
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references
warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates'
ok
test_compute (tests.processing.test_process.TestCoreProcessWExistingResults.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying
warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying')
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references
warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates'
ok
test_compute (tests.processing.test_process.TestCoreProcessWTest.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying
warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying')
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references
warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates'
ok
test_tfunc (tests.processing.test_process.TestCoreProcessWTest.test_tfunc) ... ok
test_invalid_parms_dict (tests.processing.test_process.TestInvalidInitialization.test_invalid_parms_dict) ... ok
test_invalid_process_name (tests.processing.test_process.TestInvalidInitialization.test_invalid_process_name) ... ok
test_no_map_func (tests.processing.test_process.TestInvalidInitialization.test_no_map_func) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying
warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying')
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references
warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates'
ok
test_none_parms_dict (tests.processing.test_process.TestInvalidInitialization.test_none_parms_dict) ... ok
test_not_main_dataset (tests.processing.test_process.TestInvalidInitialization.test_not_main_dataset) ... ok
test_read_only_h5_main (tests.processing.test_process.TestInvalidInitialization.test_read_only_h5_main) ... ok
test_read_only_h5_parent_group (tests.processing.test_process.TestInvalidInitialization.test_read_only_h5_parent_group) ... ok
test_compute (tests.processing.test_process.TestMultiBatchCompute.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying
warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying')
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references
warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates'
ok
test_tfunc (tests.processing.test_process.TestMultiBatchCompute.test_tfunc) ... ok
test_compute (tests.processing.test_process.TestProcLastPartialResult.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying
warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying')
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references
warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates'
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1072: UserWarning: In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying
warn('In the future write_ind_val_dsets will default to requiring dimensions to be arranged from slowest to fastest varying')
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.13_pyusid/build/pyUSID/io/hdf_utils/simple.py:1129: UserWarning: pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer createsregion references for each dimension. Please use pyUSID.io.reg_ref.write_region_references to manually create region references
warn('pyUSID.io.hdf_utils.simple.write_ind_val_dsets no longer creates'
Note: Mean_Val has already been performed with the same parameters before. These results will be returned by compute() by default. Set override to True to force fresh computation
[<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 45.1 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: 45.1 GB. 10 workers on this socket will in total read ~ 6.56 kB.
Rank: 0 - with only raw data loaded has 45.1 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 45.09 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: 45.09 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 45.09 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: 45.09 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 45.09 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 11.110s
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_arm64.buildinfo
dpkg-genchanges --build=binary -O../pyusid_0.0.12-3_arm64.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/2403513 and its subdirectories
I: Current time: Tue Apr 21 00:48:21 -12 2026
I: pbuilder-time-stamp: 1776775701
Wed Mar 19 06:25:23 UTC 2025 I: 1st build successful. Starting 2nd build on remote node codethink04-arm64.debian.net.
Wed Mar 19 06:25:23 UTC 2025 I: Preparing to do remote build '2' on codethink04-arm64.debian.net.
Wed Mar 19 06:27:53 UTC 2025 I: Deleting $TMPDIR on codethink04-arm64.debian.net.
Wed Mar 19 06:27:54 UTC 2025 I: pyusid_0.0.12-3_arm64.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
54564dd50aafaa1d569d9c5f5d973049aeca7fd7 11573 pyusid_0.0.12-3_arm64.buildinfo
Checksums-Sha256:
79fbf3f9fcaecb52e8033b468f8dbf81ae6a4dc91bd579fd8aa8d272bed50184 54180 python3-pyusid_0.0.12-3_all.deb
c6aebdacc7ec812c4103e298429d8c9edec4449827ea6b7ccb7036234af6476b 11573 pyusid_0.0.12-3_arm64.buildinfo
Files:
2b9f2a140b56b21f0afe3e521d6c1f52 54180 python optional python3-pyusid_0.0.12-3_all.deb
9977882b5c347302717a8c58ee0193e1 11573 python optional pyusid_0.0.12-3_arm64.buildinfo
Wed Mar 19 06:27:55 UTC 2025 I: diffoscope 289 will be used to compare the two builds:
Running as unit: rb-diffoscope-arm64_5-86545.service
# Profiling output for: /usr/bin/diffoscope --timeout 7200 --html /srv/reproducible-results/rbuild-debian/r-b-build.bHnVOUy1/pyusid_0.0.12-3.diffoscope.html --text /srv/reproducible-results/rbuild-debian/r-b-build.bHnVOUy1/pyusid_0.0.12-3.diffoscope.txt --json /srv/reproducible-results/rbuild-debian/r-b-build.bHnVOUy1/pyusid_0.0.12-3.diffoscope.json --profile=- /srv/reproducible-results/rbuild-debian/r-b-build.bHnVOUy1/b1/pyusid_0.0.12-3_arm64.changes /srv/reproducible-results/rbuild-debian/r-b-build.bHnVOUy1/b2/pyusid_0.0.12-3_arm64.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: 228ms
CPU time consumed: 229ms
Wed Mar 19 06:27:55 UTC 2025 I: diffoscope 289 found no differences in the changes files, and a .buildinfo file also exists.
Wed Mar 19 06:27:55 UTC 2025 I: pyusid from trixie built successfully and reproducibly on arm64.
Wed Mar 19 06:27:56 UTC 2025 I: Submitting .buildinfo files to external archives:
Wed Mar 19 06:27:56 UTC 2025 I: Submitting 16K b1/pyusid_0.0.12-3_arm64.buildinfo.asc
Wed Mar 19 06:27:57 UTC 2025 I: Submitting 16K b2/pyusid_0.0.12-3_arm64.buildinfo.asc
Wed Mar 19 06:27:58 UTC 2025 I: Done submitting .buildinfo files to http://buildinfo.debian.net/api/submit.
Wed Mar 19 06:27:58 UTC 2025 I: Done submitting .buildinfo files.
Wed Mar 19 06:27:58 UTC 2025 I: Removing signed pyusid_0.0.12-3_arm64.buildinfo.asc files:
removed './b1/pyusid_0.0.12-3_arm64.buildinfo.asc'
removed './b2/pyusid_0.0.12-3_arm64.buildinfo.asc'