Fri May 31 20:21:36 UTC 2024  I: starting to build pyusid/unstable/arm64 on jenkins on '2024-05-31 20:21'
Fri May 31 20:21:36 UTC 2024  I: The jenkins build log is/was available at https://jenkins.debian.net/userContent/reproducible/debian/build_service/arm64_8/13972/console.log
Fri May 31 20:21:36 UTC 2024  I: Downloading source for unstable/pyusid=0.0.12-2
--2024-05-31 20:21:36--  http://deb.debian.org/debian/pool/main/p/pyusid/pyusid_0.0.12-2.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_0.0.12-2.dsc’

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2024-05-31 20:21:36 (275 MB/s) - ‘pyusid_0.0.12-2.dsc’ saved [2169/2169]

Fri May 31 20:21:36 UTC 2024  I: pyusid_0.0.12-2.dsc
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Format: 3.0 (quilt)
Source: pyusid
Binary: python3-pyusid
Architecture: all
Version: 0.0.12-2
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
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Files:
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 ccfcde97c30ebfaaf787d40691e2bfc5 2600 pyusid_0.0.12-2.debian.tar.xz

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Fri May 31 20:21:36 UTC 2024  I: Checking whether the package is not for us
Fri May 31 20:21:36 UTC 2024  I: Starting 1st build on remote node codethink02-arm64.debian.net.
Fri May 31 20:21:36 UTC 2024  I: Preparing to do remote build '1' on codethink02-arm64.debian.net.
Fri May 31 20:25:18 UTC 2024  I: Deleting $TMPDIR on codethink02-arm64.debian.net.
I: pbuilder: network access will be disabled during build
I: Current time: Fri May 31 08:21:40 -12 2024
I: pbuilder-time-stamp: 1717186900
I: Building the build Environment
I: extracting base tarball [/var/cache/pbuilder/unstable-reproducible-base.tgz]
I: copying local configuration
W: --override-config is not set; not updating apt.conf Read the manpage for details.
I: mounting /proc filesystem
I: mounting /sys filesystem
I: creating /{dev,run}/shm
I: mounting /dev/pts filesystem
I: redirecting /dev/ptmx to /dev/pts/ptmx
I: policy-rc.d already exists
I: Copying source file
I: copying [pyusid_0.0.12-2.dsc]
I: copying [./pyusid_0.0.12.orig.tar.gz]
I: copying [./pyusid_0.0.12-2.debian.tar.xz]
I: Extracting source
gpgv: Signature made Sun May 12 13:17:29 2024 
gpgv:                using RSA key B415360F591EB6DD73AFFB83D30DECD2599322FC
gpgv: Can't check signature: No public key
dpkg-source: warning: cannot verify inline signature for ./pyusid_0.0.12-2.dsc: no acceptable signature found
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_0.0.12-2.debian.tar.xz
dpkg-source: info: using patch list from debian/patches/series
dpkg-source: info: applying 0001-Remove-requirement-for-six-module.patch
I: Not using root during the build.
I: Installing the build-deps
I: user script /srv/workspace/pbuilder/2680796/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='unstable'
  HOME='/root'
  HOST_ARCH='arm64'
  IFS=' 	
  '
  INVOCATION_ID='0f5c84d1aacf4432b3b2b290ce361b3a'
  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='2680796'
  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.fR1cMDmI/pbuilderrc_QNSf --distribution unstable --hookdir /etc/pbuilder/first-build-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/unstable-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.fR1cMDmI/b1 --logfile b1/build.log pyusid_0.0.12-2.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 codethink02-arm64 6.1.0-21-cloud-arm64 #1 SMP Debian 6.1.90-1 (2024-05-03) aarch64 GNU/Linux
I: ls -l /bin
  lrwxrwxrwx 1 root root 7 May 27 07:42 /bin -> usr/bin
I: user script /srv/workspace/pbuilder/2680796/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 ... 19764 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:
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node-strip-json-comments{a} node-style-loader{a} node-style-mod{a} node-supports-color{a} node-tapable{a} node-tape{a} node-tar{a} node-terser{a} node-through{a} node-time-stamp{a} node-to-fast-properties{a} node-to-regex{a} node-to-regex-range{a} node-tough-cookie{a} node-tslib{a} node-type-check{a} node-type-detect{a} node-typedarray{a} node-typedarray-to-buffer{a} node-typescript{a} node-typestyle{a} node-underscore{a} node-undici{a} node-unicode-canonical-property-names-ecmascript{a} node-unicode-match-property-ecmascript{a} node-unicode-match-property-value-ecmascript{a} node-unicode-property-aliases-ecmascript{a} node-universalify{a} node-uri-js{a} node-url-parse{a} node-util{a} node-util-deprecate{a} node-uuid{a} node-v8-compile-cache{a} node-v8flags{a} node-validate-npm-package-license{a} node-vdom-to-html{a} node-vega{a} node-vega-embed{a} node-vega-lite{a} node-vega-themes{a} node-vega-tooltip{a} node-vscode-debugprotocol{a} node-vscode-jsonrpc{a} node-vscode-languageserver-protocol{a} node-vscode-languageserver-types{a} node-w3c-keyname{a} node-warning{a} node-watchpack{a} node-wcwidth.js{a} node-webassemblyjs{a} node-webidl-conversions{a} node-webpack-merge{a} node-webpack-sources{a} node-which{a} node-wide-align{a} node-wordwrap{a} node-worker-loader{a} node-wrap-ansi{a} node-wrappy{a} node-write{a} node-write-file-atomic{a} node-ws{a} node-xtend{a} node-xterm{a} node-y-protocols{a} node-y18n{a} node-yallist{a} node-yaml{a} node-yargs{a} node-yargs-parser{a} node-yjs{a} nodejs{a} openssl{a} po-debconf{a} procps{a} pybuild-plugin-pyproject{a} python-matplotlib-data{a} python3{a} python3-all{a} python3-appdirs{a} python3-ase{a} python3-asttokens{a} python3-attr{a} python3-brotli{a} python3-build{a} python3-bytecode{a} python3-cffi-backend{a} python3-click{a} python3-cloudpickle{a} python3-colorama{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-distutils{a} python3-entrypoints{a} python3-executing{a} python3-fonttools{a} python3-fs{a} python3-fsspec{a} python3-h5py{a} python3-h5py-serial{a} python3-importlib-metadata{a} python3-installer{a} python3-ipykernel{a} python3-ipython{a} python3-ipywidgets{a} python3-jedi{a} python3-jinja2{a} python3-joblib{a} python3-jupyter-client{a} python3-jupyter-core{a} python3-kiwisolver{a} python3-lib2to3{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-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-py{a} python3-pydevd{a} python3-pygments{a} python3-pyparsing{a} python3-pyproject-hooks{a} python3-scipy{a} python3-setuptools{a} python3-sidpy{a} python3-six{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-typeshed{a} python3-tz{a} python3-ufolib2{a} python3-urllib3{a} python3-wcwidth{a} python3-wheel{a} python3-yaml{a} python3-zict{a} python3-zipp{a} python3-zmq{a} python3.11{a} python3.11-minimal{a} python3.12{a} python3.12-minimal{a} readline-common{a} sensible-utils{a} terser{a} tk8.6-blt2.5{a} ts-jest{a} tzdata{a} ucf{a} unicode-data{a} webpack{a} x11-common{a} 
The following packages are RECOMMENDED but will NOT be installed:
  chromium curl firefox git isympy-common javascript-common krb5-locales libarchive-cpio-perl libc6-dbg libglib2.0-data libjs-sizzle libldap-common libltdl-dev libmail-sendmail-perl libsasl2-modules lynx node-inwasm-runtime node-re2 node-require-from-string node-text-table nodejs-doc psmisc publicsuffix python3-babel python3-blosc python3-bs4 python3-cssselect python3-dropbox python3-fusepy python3-html5lib python3-libarchive-c python3-olefile python3-pandas python3-paramiko python3-pygit2 python3-pytest python3-requests python3-simplejson shared-mime-info wget xdg-user-dirs 
0 packages upgraded, 753 newly installed, 0 to remove and 0 not upgraded.
Need to get 221 MB of archives. After unpacking 1551 MB will be used.
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Get: 1 http://deb.debian.org/debian unstable/main arm64 sensible-utils all 0.0.22 [22.4 kB]
Get: 2 http://deb.debian.org/debian unstable/main arm64 ucf all 3.0043+nmu1 [55.2 kB]
Get: 3 http://deb.debian.org/debian unstable/main arm64 libdebuginfod-common all 0.191-1 [22.9 kB]
Get: 4 http://deb.debian.org/debian unstable/main arm64 libpython3.11-minimal arm64 3.11.9-1 [813 kB]
Get: 5 http://deb.debian.org/debian unstable/main arm64 libexpat1 arm64 2.6.2-1 [88.7 kB]
Get: 6 http://deb.debian.org/debian unstable/main arm64 python3.11-minimal arm64 3.11.9-1 [1767 kB]
Get: 7 http://deb.debian.org/debian unstable/main arm64 python3-minimal arm64 3.11.8-1 [26.3 kB]
Get: 8 http://deb.debian.org/debian unstable/main arm64 media-types all 10.1.0 [26.9 kB]
Get: 9 http://deb.debian.org/debian unstable/main arm64 netbase all 6.4 [12.8 kB]
Get: 10 http://deb.debian.org/debian unstable/main arm64 tzdata all 2024a-4 [255 kB]
Get: 11 http://deb.debian.org/debian unstable/main arm64 readline-common all 8.2-4 [69.3 kB]
Get: 12 http://deb.debian.org/debian unstable/main arm64 libreadline8t64 arm64 8.2-4 [157 kB]
Get: 13 http://deb.debian.org/debian unstable/main arm64 libpython3.11-stdlib arm64 3.11.9-1 [1775 kB]
Get: 14 http://deb.debian.org/debian unstable/main arm64 python3.11 arm64 3.11.9-1 [602 kB]
Get: 15 http://deb.debian.org/debian unstable/main arm64 libpython3-stdlib arm64 3.11.8-1 [9332 B]
Get: 16 http://deb.debian.org/debian unstable/main arm64 python3 arm64 3.11.8-1 [27.4 kB]
Get: 17 http://deb.debian.org/debian unstable/main arm64 libpython3.12-minimal arm64 3.12.3-1 [802 kB]
Get: 18 http://deb.debian.org/debian unstable/main arm64 python3.12-minimal arm64 3.12.3-1 [1931 kB]
Get: 19 http://deb.debian.org/debian unstable/main arm64 libproc2-0 arm64 2:4.0.4-4 [61.7 kB]
Get: 20 http://deb.debian.org/debian unstable/main arm64 procps arm64 2:4.0.4-4 [869 kB]
Get: 21 http://deb.debian.org/debian unstable/main arm64 openssl arm64 3.2.1-3 [1324 kB]
Get: 22 http://deb.debian.org/debian unstable/main arm64 ca-certificates all 20240203 [158 kB]
Get: 23 http://deb.debian.org/debian unstable/main arm64 libmagic-mgc arm64 1:5.45-3 [314 kB]
Get: 24 http://deb.debian.org/debian unstable/main arm64 libmagic1t64 arm64 1:5.45-3 [100 kB]
Get: 25 http://deb.debian.org/debian unstable/main arm64 file arm64 1:5.45-3 [43.0 kB]
Get: 26 http://deb.debian.org/debian unstable/main arm64 gettext-base arm64 0.21-14+b1 [160 kB]
Get: 27 http://deb.debian.org/debian unstable/main arm64 libuchardet0 arm64 0.0.8-1+b1 [69.0 kB]
Get: 28 http://deb.debian.org/debian unstable/main arm64 groff-base arm64 1.23.0-4 [1130 kB]
Get: 29 http://deb.debian.org/debian unstable/main arm64 bsdextrautils arm64 2.40.1-4 [94.9 kB]
Get: 30 http://deb.debian.org/debian unstable/main arm64 libpipeline1 arm64 1.5.7-2 [36.5 kB]
Get: 31 http://deb.debian.org/debian unstable/main arm64 man-db arm64 2.12.1-1 [1394 kB]
Get: 32 http://deb.debian.org/debian unstable/main arm64 m4 arm64 1.4.19-4 [277 kB]
Get: 33 http://deb.debian.org/debian unstable/main arm64 autoconf all 2.71-3 [332 kB]
Get: 34 http://deb.debian.org/debian unstable/main arm64 autotools-dev all 20220109.1 [51.6 kB]
Get: 35 http://deb.debian.org/debian unstable/main arm64 automake all 1:1.16.5-1.3 [823 kB]
Get: 36 http://deb.debian.org/debian unstable/main arm64 autopoint all 0.21-14 [496 kB]
Get: 37 http://deb.debian.org/debian unstable/main arm64 libtcl8.6 arm64 8.6.14+dfsg-1 [975 kB]
Get: 38 http://deb.debian.org/debian unstable/main arm64 libbrotli1 arm64 1.1.0-2+b3 [295 kB]
Get: 39 http://deb.debian.org/debian unstable/main arm64 libpng16-16t64 arm64 1.6.43-5 [272 kB]
Get: 40 http://deb.debian.org/debian unstable/main arm64 libfreetype6 arm64 2.13.2+dfsg-1+b4 [408 kB]
Get: 41 http://deb.debian.org/debian unstable/main arm64 fonts-dejavu-mono all 2.37-8 [489 kB]
Get: 42 http://deb.debian.org/debian unstable/main arm64 fonts-dejavu-core all 2.37-8 [840 kB]
Get: 43 http://deb.debian.org/debian unstable/main arm64 fontconfig-config arm64 2.15.0-1.1 [317 kB]
Get: 44 http://deb.debian.org/debian unstable/main arm64 libfontconfig1 arm64 2.15.0-1.1 [385 kB]
Get: 45 http://deb.debian.org/debian unstable/main arm64 libxau6 arm64 1:1.0.9-1+b1 [18.1 kB]
Get: 46 http://deb.debian.org/debian unstable/main arm64 libbsd0 arm64 0.12.2-1 [129 kB]
Get: 47 http://deb.debian.org/debian unstable/main arm64 libxdmcp6 arm64 1:1.1.2-3+b1 [24.3 kB]
Get: 48 http://deb.debian.org/debian unstable/main arm64 libxcb1 arm64 1.17.0-2 [143 kB]
Get: 49 http://deb.debian.org/debian unstable/main arm64 libx11-data all 2:1.8.7-1 [328 kB]
Get: 50 http://deb.debian.org/debian unstable/main arm64 libx11-6 arm64 2:1.8.7-1+b1 [775 kB]
Get: 51 http://deb.debian.org/debian unstable/main arm64 libxrender1 arm64 1:0.9.10-1.1+b1 [27.0 kB]
Get: 52 http://deb.debian.org/debian unstable/main arm64 libxft2 arm64 2.3.6-1+b1 [51.0 kB]
Get: 53 http://deb.debian.org/debian unstable/main arm64 libxext6 arm64 2:1.3.4-1+b1 [51.7 kB]
Get: 54 http://deb.debian.org/debian unstable/main arm64 x11-common all 1:7.7+23 [252 kB]
Get: 55 http://deb.debian.org/debian unstable/main arm64 libxss1 arm64 1:1.2.3-1+b1 [17.0 kB]
Get: 56 http://deb.debian.org/debian unstable/main arm64 libtk8.6 arm64 8.6.14-1 [732 kB]
Get: 57 http://deb.debian.org/debian unstable/main arm64 tk8.6-blt2.5 arm64 2.5.3+dfsg-7 [533 kB]
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Get: 60 http://deb.debian.org/debian unstable/main arm64 libtool all 2.4.7-7 [517 kB]
Get: 61 http://deb.debian.org/debian unstable/main arm64 dh-autoreconf all 20 [17.1 kB]
Get: 62 http://deb.debian.org/debian unstable/main arm64 libarchive-zip-perl all 1.68-1 [104 kB]
Get: 63 http://deb.debian.org/debian unstable/main arm64 libfile-stripnondeterminism-perl all 1.14.0-1 [19.5 kB]
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Get: 68 http://deb.debian.org/debian unstable/main arm64 libxml2 arm64 2.12.7+dfsg-2 [609 kB]
Get: 69 http://deb.debian.org/debian unstable/main arm64 gettext arm64 0.21-14+b1 [1249 kB]
Get: 70 http://deb.debian.org/debian unstable/main arm64 intltool-debian all 0.35.0+20060710.6 [22.9 kB]
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Get: 73 http://deb.debian.org/debian unstable/main arm64 python3-pkg-resources all 68.1.2-2 [241 kB]
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Get: 77 http://deb.debian.org/debian unstable/main arm64 dh-python all 6.20240422 [107 kB]
Get: 78 http://deb.debian.org/debian unstable/main arm64 node-fast-deep-equal all 3.1.3-3 [5768 B]
Get: 79 http://deb.debian.org/debian unstable/main arm64 node-json-schema-traverse all 1.0.0-3 [6308 B]
Get: 80 http://deb.debian.org/debian unstable/main arm64 node-jsonify all 0.0.1-1 [8704 B]
Get: 81 http://deb.debian.org/debian unstable/main arm64 node-json-stable-stringify all 1.0.2+repack1+~cs1.0.34-2 [9496 B]
Get: 82 http://deb.debian.org/debian unstable/main arm64 node-punycode all 2.2.3-2 [9812 B]
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Get: 84 http://deb.debian.org/debian unstable/main arm64 libcares2 arm64 1.29.0-1 [148 kB]
Get: 85 http://deb.debian.org/debian unstable/main arm64 libnghttp2-14 arm64 1.61.0-1+b1 [71.0 kB]
Get: 86 http://deb.debian.org/debian unstable/main arm64 libuv1t64 arm64 1.48.0-4 [142 kB]
Get: 87 http://deb.debian.org/debian unstable/main arm64 node-xtend all 4.0.2-3 [3932 B]
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Get: 89 http://deb.debian.org/debian unstable/main arm64 node-cjs-module-lexer all 1.2.3+dfsg-1 [30.6 kB]
Get: 90 http://deb.debian.org/debian unstable/main arm64 node-undici all 5.28.4+dfsg1+~cs23.12.11-2 [314 kB]
Get: 91 http://deb.debian.org/debian unstable/main arm64 libnode115 arm64 20.13.1+dfsg-2 [10.6 MB]
Get: 92 http://deb.debian.org/debian unstable/main arm64 nodejs arm64 20.13.1+dfsg-2 [340 kB]
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Get: 101 http://deb.debian.org/debian unstable/main arm64 node-isarray all 2.0.5-4 [4040 B]
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Get: 103 http://deb.debian.org/debian unstable/main arm64 node-typedarray all 0.0.7-1 [11.4 kB]
Get: 104 http://deb.debian.org/debian unstable/main arm64 node-concat-stream all 2.0.0+~2.0.0-2 [6388 B]
Get: 105 http://deb.debian.org/debian unstable/main arm64 node-ms all 2.1.3+~cs0.7.31-3 [5648 B]
Get: 106 http://deb.debian.org/debian unstable/main arm64 node-debug all 4.3.4+~cs4.1.7-1 [18.1 kB]
Get: 107 http://deb.debian.org/debian unstable/main arm64 node-esutils all 2.0.3+~2.0.0-1 [12.4 kB]
Get: 108 http://deb.debian.org/debian unstable/main arm64 node-doctrine all 3.0.0-4 [19.9 kB]
Get: 109 http://deb.debian.org/debian unstable/main arm64 node-eslint-visitor-keys all 3.3.0+~1.0.0-1 [17.1 kB]
Get: 110 http://deb.debian.org/debian unstable/main arm64 node-estraverse all 5.3.0+ds+~5.1.1-1 [11.6 kB]
Get: 111 http://deb.debian.org/debian unstable/main arm64 node-object-assign all 4.1.1-7 [4684 B]
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Get: 115 http://deb.debian.org/debian unstable/main arm64 node-esquery all 1.4.2~ds-1 [24.9 kB]
Get: 116 http://deb.debian.org/debian unstable/main arm64 node-eslint-utils all 3.0.0-3 [15.5 kB]
Get: 117 http://deb.debian.org/debian unstable/main arm64 node-flatted all 3.2.7~ds-1 [10.3 kB]
Get: 118 http://deb.debian.org/debian unstable/main arm64 node-fs.realpath all 1.0.0-3 [6172 B]
Get: 119 http://deb.debian.org/debian unstable/main arm64 node-wrappy all 1.0.2-3 [3776 B]
Get: 120 http://deb.debian.org/debian unstable/main arm64 node-once all 1.4.1-1 [4624 B]
Get: 121 http://deb.debian.org/debian unstable/main arm64 node-inflight all 1.0.6-2 [3952 B]
Get: 122 http://deb.debian.org/debian unstable/main arm64 node-balanced-match all 2.0.0-1 [4872 B]
Get: 123 http://deb.debian.org/debian unstable/main arm64 node-brace-expansion all 2.0.1+~1.1.0-1 [7912 B]
Get: 124 http://deb.debian.org/debian unstable/main arm64 node-minimatch all 9.0.3-4 [50.8 kB]
Get: 125 http://deb.debian.org/debian unstable/main arm64 node-glob all 8.1.0+~cs8.5.15-1 [134 kB]
Get: 126 http://deb.debian.org/debian unstable/main arm64 node-rimraf all 3.0.2-2 [11.1 kB]
Get: 127 http://deb.debian.org/debian unstable/main arm64 node-write all 2.0.0~6.0.1+~3.0.4+~2.0.0+~1.0.0+~2.0.1-1 [17.9 kB]
Get: 128 http://deb.debian.org/debian unstable/main arm64 node-flat-cache all 3.0.4~6.0.1+~3.0.4+~2.0.0+~1.0.0+~2.0.1-1 [20.2 kB]
Get: 129 http://deb.debian.org/debian unstable/main arm64 node-file-entry-cache all 6.0.1+~3.0.4+~2.0.0+~1.0.0+~2.0.1-1 [15.3 kB]
Get: 130 http://deb.debian.org/debian unstable/main arm64 node-functional-red-black-tree all 1.0.1+20181105-7 [14.1 kB]
Get: 131 http://deb.debian.org/debian unstable/main arm64 node-is-extglob all 2.1.1-5 [4612 B]
Get: 132 http://deb.debian.org/debian unstable/main arm64 node-is-glob all 4.0.3-2 [6620 B]
Get: 133 http://deb.debian.org/debian unstable/main arm64 node-path-dirname all 1.0.2-2 [4312 B]
Get: 134 http://deb.debian.org/debian unstable/main arm64 node-glob-parent all 6.0.2+~5.1.1-2 [8784 B]
Get: 135 http://deb.debian.org/debian unstable/main arm64 node-globals all 13.23.0-1 [11.3 kB]
Get: 136 http://deb.debian.org/debian unstable/main arm64 node-resolve-from all 5.0.0+~3.1.0+~3.3.0+~2.0.0-1 [7292 B]
Get: 137 http://deb.debian.org/debian unstable/main arm64 node-imurmurhash all 0.1.4+dfsg+~0.1.1-2 [8412 B]
Get: 138 http://deb.debian.org/debian unstable/main arm64 node-ignore all 5.2.1-1 [26.4 kB]
Get: 139 http://deb.debian.org/debian unstable/main arm64 node-prelude-ls all 1.2.1+dfsg-3 [11.3 kB]
Get: 140 http://deb.debian.org/debian unstable/main arm64 node-type-check all 0.4.0+dfsg-3 [9184 B]
Get: 141 http://deb.debian.org/debian unstable/main arm64 node-levn all 0.4.1+dfsg-2 [10.2 kB]
Get: 142 http://deb.debian.org/debian unstable/main arm64 node-lodash all 4.17.21+dfsg+~cs8.31.198.20210220-9 [462 kB]
Get: 143 http://deb.debian.org/debian unstable/main arm64 node-memfs all 3.4.12+~cs1.0.3-1 [46.8 kB]
Get: 144 http://deb.debian.org/debian unstable/main arm64 node-mkdirp all 1.0.4+~1.0.2-4 [11.6 kB]
Get: 145 http://deb.debian.org/debian unstable/main arm64 node-deep-is all 0.1.4-1 [5136 B]
Get: 146 http://deb.debian.org/debian unstable/main arm64 node-fast-levenshtein all 2.0.6+ds-3 [6040 B]
Get: 147 http://deb.debian.org/debian unstable/main arm64 node-optionator all 0.9.1+dfsg+~cs1.2.3-1 [17.6 kB]
Get: 148 http://deb.debian.org/debian unstable/main arm64 node-progress all 2.0.3-2 [8256 B]
Get: 149 http://deb.debian.org/debian unstable/main arm64 libjs-regenerate all 1.4.2-3 [14.3 kB]
Get: 150 http://deb.debian.org/debian unstable/main arm64 node-regenerate all 1.4.2-3 [7388 B]
Get: 151 http://deb.debian.org/debian unstable/main arm64 node-regenerate-unicode-properties all 10.1.0+ds-1 [50.7 kB]
Get: 152 http://deb.debian.org/debian unstable/main arm64 node-regexpp all 3.2.0-5 [27.0 kB]
Get: 153 http://deb.debian.org/debian unstable/main arm64 node-yallist all 4.0.0+~4.0.1-1 [8172 B]
Get: 154 http://deb.debian.org/debian unstable/main arm64 node-lru-cache all 7.14.1-1 [26.3 kB]
Get: 155 http://deb.debian.org/debian unstable/main arm64 node-semver all 7.6.1+~7.5.8-1 [49.4 kB]
Get: 156 http://deb.debian.org/debian unstable/main arm64 node-strip-json-comments all 4.0.0-4 [5668 B]
Get: 157 http://deb.debian.org/debian unstable/main arm64 node-json-schema all 0.4.0+~7.0.11-1 [13.1 kB]
Get: 158 http://deb.debian.org/debian unstable/main arm64 node-v8-compile-cache all 2.4.0-2 [8544 B]
Get: 159 http://deb.debian.org/debian unstable/main arm64 eslint all 6.4.0~dfsg+~6.1.9-11 [606 kB]
Get: 160 http://deb.debian.org/debian unstable/main arm64 fonts-font-awesome all 5.0.10+really4.7.0~dfsg-4.1 [517 kB]
Get: 161 http://deb.debian.org/debian unstable/main arm64 fonts-glyphicons-halflings all 1.009~3.4.1+dfsg-3 [162 kB]
Get: 162 http://deb.debian.org/debian unstable/main arm64 fonts-lyx all 2.4.0~RC4-1 [189 kB]
Get: 163 http://deb.debian.org/debian unstable/main arm64 libdw1t64 arm64 0.191-1+b1 [230 kB]
Get: 164 http://deb.debian.org/debian unstable/main arm64 libglib2.0-0t64 arm64 2.80.2-2 [1391 kB]
Get: 165 http://deb.debian.org/debian unstable/main arm64 libbabeltrace1 arm64 1.5.11-3+b6 [163 kB]
Get: 166 http://deb.debian.org/debian unstable/main arm64 libkrb5support0 arm64 1.20.1-6+b1 [33.0 kB]
Get: 167 http://deb.debian.org/debian unstable/main arm64 libcom-err2 arm64 1.47.1-1 [22.8 kB]
Get: 168 http://deb.debian.org/debian unstable/main arm64 libk5crypto3 arm64 1.20.1-6+b1 [80.5 kB]
Get: 169 http://deb.debian.org/debian unstable/main arm64 libkeyutils1 arm64 1.6.3-3 [9112 B]
Get: 170 http://deb.debian.org/debian unstable/main arm64 libkrb5-3 arm64 1.20.1-6+b1 [315 kB]
Get: 171 http://deb.debian.org/debian unstable/main arm64 libgssapi-krb5-2 arm64 1.20.1-6+b1 [124 kB]
Get: 172 http://deb.debian.org/debian unstable/main arm64 libsasl2-modules-db arm64 2.1.28+dfsg1-6 [20.1 kB]
Get: 173 http://deb.debian.org/debian unstable/main arm64 libsasl2-2 arm64 2.1.28+dfsg1-6 [55.3 kB]
Get: 174 http://deb.debian.org/debian unstable/main arm64 libldap-2.5-0 arm64 2.5.17+dfsg-1 [173 kB]
Get: 175 http://deb.debian.org/debian unstable/main arm64 libpsl5t64 arm64 0.21.2-1.1 [56.8 kB]
Get: 176 http://deb.debian.org/debian unstable/main arm64 librtmp1 arm64 2.4+20151223.gitfa8646d.1-2+b4 [56.7 kB]
Get: 177 http://deb.debian.org/debian unstable/main arm64 libssh2-1t64 arm64 1.11.0-5 [207 kB]
Get: 178 http://deb.debian.org/debian unstable/main arm64 libcurl3t64-gnutls arm64 8.8.0-1 [405 kB]
Get: 179 http://deb.debian.org/debian unstable/main arm64 libdebuginfod1t64 arm64 0.191-1+b1 [27.5 kB]
Get: 180 http://deb.debian.org/debian unstable/main arm64 libpython3.11t64 arm64 3.11.9-1 [1814 kB]
Get: 181 http://deb.debian.org/debian unstable/main arm64 libsource-highlight-common all 3.1.9-4.3 [77.5 kB]
Get: 182 http://deb.debian.org/debian unstable/main arm64 libsource-highlight4t64 arm64 3.1.9-4.3 [289 kB]
Get: 183 http://deb.debian.org/debian unstable/main arm64 gdb arm64 13.2-1+b1 [3675 kB]
Get: 184 http://deb.debian.org/debian unstable/main arm64 python3-packaging all 24.0-1 [45.5 kB]
Get: 185 http://deb.debian.org/debian unstable/main arm64 gyp all 0.16.2-1 [255 kB]
Get: 186 http://deb.debian.org/debian unstable/main arm64 node-neo-async all 2.6.2+~cs3.0.0-3 [41.8 kB]
Get: 187 http://deb.debian.org/debian unstable/main arm64 node-arrify all 2.0.1-3 [3700 B]
Get: 188 http://deb.debian.org/debian unstable/main arm64 node-is-plain-obj all 3.0.0-2 [3972 B]
Get: 189 http://deb.debian.org/debian unstable/main arm64 node-is-buffer all 2.0.5-2 [4112 B]
Get: 190 http://deb.debian.org/debian unstable/main arm64 node-kind-of all 6.0.3+dfsg-2 [10.2 kB]
Get: 191 http://deb.debian.org/debian unstable/main arm64 node-minimist all 1.2.8+~cs5.3.5-1 [15.9 kB]
Get: 192 http://deb.debian.org/debian unstable/main arm64 node-wordwrap all 1.0.0-4 [4628 B]
Get: 193 http://deb.debian.org/debian unstable/main arm64 node-optimist all 0.6.1+~0.0.30-2 [13.5 kB]
Get: 194 http://deb.debian.org/debian unstable/main arm64 libjs-source-map all 0.7.0++dfsg2+really.0.6.1-15 [29.6 kB]
Get: 195 http://deb.debian.org/debian unstable/main arm64 node-source-map all 0.7.0++dfsg2+really.0.6.1-15 [41.7 kB]
Get: 196 http://deb.debian.org/debian unstable/main arm64 handlebars all 3:4.7.7+~4.1.0-1 [199 kB]
Get: 197 http://deb.debian.org/debian unstable/main arm64 node-ansi-escapes all 5.0.0+really.4.3.1-1 [8896 B]
Get: 198 http://deb.debian.org/debian unstable/main arm64 node-ansi-regex all 5.0.1-1 [4912 B]
Get: 199 http://deb.debian.org/debian unstable/main arm64 node-color-name all 1.1.4+~1.1.1-2 [5920 B]
Get: 200 http://deb.debian.org/debian unstable/main arm64 node-color-convert all 2.0.1+~cs2.0.0-2 [13.1 kB]
Get: 201 http://deb.debian.org/debian unstable/main arm64 node-ansi-styles all 6.2.1-2 [8640 B]
Get: 202 http://deb.debian.org/debian unstable/main arm64 node-normalize-path all 3.0.0+~3.0.0-1 [6608 B]
Get: 203 http://deb.debian.org/debian unstable/main arm64 node-anymatch all 3.1.3+~cs4.6.1-2 [33.4 kB]
Get: 204 http://deb.debian.org/debian unstable/main arm64 node-ampproject-remapping all 2.2.0+~cs5.15.37-1 [59.4 kB]
Get: 205 http://deb.debian.org/debian unstable/main arm64 node-babel-plugin-add-module-exports all 1.0.4+dfsg1~cs5.8.0-4 [8672 B]
Get: 206 http://deb.debian.org/debian unstable/main arm64 node-regenerator-runtime all 0.15.2+~0.10.8-1 [10.7 kB]
Get: 207 http://deb.debian.org/debian unstable/main arm64 node-babel7-runtime all 7.20.15+ds1+~cs214.269.168-6 [116 kB]
Get: 208 http://deb.debian.org/debian unstable/main arm64 node-lodash-packages all 4.17.21+dfsg+~cs8.31.198.20210220-9 [179 kB]
Get: 209 http://deb.debian.org/debian unstable/main arm64 node-resolve all 1.22.8+~cs5.34.15-2 [29.8 kB]
Get: 210 http://deb.debian.org/debian unstable/main arm64 node-babel-helper-define-polyfill-provider all 0.3.3~0~20220913+ds1-1 [27.4 kB]
Get: 211 http://deb.debian.org/debian unstable/main arm64 node-babel-plugin-polyfill-corejs2 all 0.3.3~0~20220913+ds1-1 [17.1 kB]
Get: 212 http://deb.debian.org/debian unstable/main arm64 node-caniuse-lite all 1.0.30001620+dfsg+~1.0.5-2 [245 kB]
Get: 213 http://deb.debian.org/debian unstable/main arm64 node-electron-to-chromium all 1.4.773-1 [26.8 kB]
Get: 214 http://deb.debian.org/debian unstable/main arm64 node-picocolors all 1.0.0-4 [6652 B]
Get: 215 http://deb.debian.org/debian unstable/main arm64 node-browserslist all 4.23.0+~cs6.1.32-1 [79.2 kB]
Get: 216 http://deb.debian.org/debian unstable/main arm64 node-core-js-compat all 3.33.2-1 [78.5 kB]
Get: 217 http://deb.debian.org/debian unstable/main arm64 node-babel-plugin-polyfill-corejs3 all 0.6.0~0~20220913+ds1-1 [29.5 kB]
Get: 218 http://deb.debian.org/debian unstable/main arm64 node-babel-plugin-polyfill-regenerator all 0.4.1~0~20220913+ds1-1 [5036 B]
Get: 219 http://deb.debian.org/debian unstable/main arm64 node-escape-string-regexp all 4.0.0-2 [4296 B]
Get: 220 http://deb.debian.org/debian unstable/main arm64 node-has-flag all 4.0.0-3 [4304 B]
Get: 221 http://deb.debian.org/debian unstable/main arm64 node-supports-color all 8.1.1+~8.1.1-1 [6920 B]
Get: 222 http://deb.debian.org/debian unstable/main arm64 node-chalk all 5.3.0-1 [18.2 kB]
Get: 223 http://deb.debian.org/debian unstable/main arm64 node-for-in all 1.0.2-4 [4840 B]
Get: 224 http://deb.debian.org/debian unstable/main arm64 node-for-own all 1.0.0-3 [4800 B]
Get: 225 http://deb.debian.org/debian unstable/main arm64 node-is-plain-object all 5.0.0-7 [6108 B]
Get: 226 http://deb.debian.org/debian unstable/main arm64 node-is-extendable all 1.0.1-3 [5228 B]
Get: 227 http://deb.debian.org/debian unstable/main arm64 node-clone-deep all 4.0.1+~cs7.0.2-1 [6720 B]
Get: 228 http://deb.debian.org/debian unstable/main arm64 node-commander all 9.4.1-1 [65.3 kB]
Get: 229 http://deb.debian.org/debian unstable/main arm64 node-convert-source-map all 1.9.0+~1.5.2-1 [8176 B]
Get: 230 http://deb.debian.org/debian unstable/main arm64 node-core-js all 3.33.2-1 [301 kB]
Get: 231 http://deb.debian.org/debian unstable/main arm64 node-core-js-pure all 3.33.2-1 [282 kB]
Get: 232 http://deb.debian.org/debian unstable/main arm64 node-commondir all 1.0.1+~1.0.0-1 [4388 B]
Get: 233 http://deb.debian.org/debian unstable/main arm64 node-is-number all 7.0.0-4 [6020 B]
Get: 234 http://deb.debian.org/debian unstable/main arm64 node-repeat-string all 1.6.1+repack-1 [5600 B]
Get: 235 http://deb.debian.org/debian unstable/main arm64 node-to-regex-range all 5.0.1-4 [10.5 kB]
Get: 236 http://deb.debian.org/debian unstable/main arm64 node-fill-range all 7.1.1+~7.0.3-1 [8768 B]
Get: 237 http://deb.debian.org/debian unstable/main arm64 node-braces all 3.0.3+~3.0.4-1 [20.6 kB]
Get: 238 http://deb.debian.org/debian unstable/main arm64 node-micromatch all 4.0.7+~4.0.7-1 [26.0 kB]
Get: 239 http://deb.debian.org/debian unstable/main arm64 node-pify all 5.0.0+~cs5.0.1-1 [7072 B]
Get: 240 http://deb.debian.org/debian unstable/main arm64 node-path-type all 4.0.0-3 [3944 B]
Get: 241 http://deb.debian.org/debian unstable/main arm64 node-n3 all 1.16.3+~1.2.3+~1.10.4-1 [37.0 kB]
Get: 242 http://deb.debian.org/debian unstable/main arm64 node-slash all 4.0.0-3 [4292 B]
Get: 243 http://deb.debian.org/debian unstable/main arm64 node-globby all 13.1.3+~cs16.25.40-2 [40.4 kB]
Get: 244 http://deb.debian.org/debian unstable/main arm64 node-graceful-fs all 4.2.10-1 [14.4 kB]
Get: 245 http://deb.debian.org/debian unstable/main arm64 node-is-path-cwd all 2.2.0-2 [3672 B]
Get: 246 http://deb.debian.org/debian unstable/main arm64 node-path-is-inside all 1.0.2+~1.0.0-1 [5072 B]
Get: 247 http://deb.debian.org/debian unstable/main arm64 node-is-path-inside all 3.0.3-2 [3980 B]
Get: 248 http://deb.debian.org/debian unstable/main arm64 node-indent-string all 4.0.0-2 [4144 B]
Get: 249 http://deb.debian.org/debian unstable/main arm64 node-p-map all 4.0.0+~3.1.0+~3.0.1-1 [7912 B]
Get: 250 http://deb.debian.org/debian unstable/main arm64 node-del all 7.0.0-5 [6804 B]
Get: 251 http://deb.debian.org/debian unstable/main arm64 node-make-dir all 3.1.0-3 [6040 B]
Get: 252 http://deb.debian.org/debian unstable/main arm64 node-p-limit all 4.0.0+~cs4.0.0-5 [7576 B]
Get: 253 http://deb.debian.org/debian unstable/main arm64 node-p-locate all 6.0.0-12 [5752 B]
Get: 254 http://deb.debian.org/debian unstable/main arm64 node-locate-path all 7.1.1-2 [5584 B]
Get: 255 http://deb.debian.org/debian unstable/main arm64 node-path-exists all 5.0.0-8 [4732 B]
Get: 256 http://deb.debian.org/debian unstable/main arm64 node-find-up all 6.3.0-7 [9388 B]
Get: 257 http://deb.debian.org/debian unstable/main arm64 node-pkg-dir all 5.0.0-2 [4260 B]
Get: 258 http://deb.debian.org/debian unstable/main arm64 node-find-cache-dir all 3.3.2+~3.2.1-1 [6152 B]
Get: 259 http://deb.debian.org/debian unstable/main arm64 node-fs-readdir-recursive all 1.1.0+~1.1.0-1 [4540 B]
Get: 260 http://deb.debian.org/debian unstable/main arm64 node-js-tokens all 8.0.0-2 [14.9 kB]
Get: 261 http://deb.debian.org/debian unstable/main arm64 node-jsesc all 3.0.2+~3.0.1-1 [17.6 kB]
Get: 262 http://deb.debian.org/debian unstable/main arm64 node-json5 all 2.2.3+dfsg-1 [25.6 kB]
Get: 263 http://deb.debian.org/debian unstable/main arm64 node-quick-lru all 6.1.1-4 [8076 B]
Get: 264 http://deb.debian.org/debian unstable/main arm64 node-regenerator-transform all 0.15.2+~0.10.8-1 [24.9 kB]
Get: 265 http://deb.debian.org/debian unstable/main arm64 node-regjsgen all 0.7.1+ds-1 [6968 B]
Get: 266 http://deb.debian.org/debian unstable/main arm64 node-regjsparser all 0.9.1+ds-2 [22.1 kB]
Get: 267 http://deb.debian.org/debian unstable/main arm64 node-unicode-canonical-property-names-ecmascript all 2.0.0-2 [4540 B]
Get: 268 http://deb.debian.org/debian unstable/main arm64 node-unicode-property-aliases-ecmascript all 2.1.0+ds-1 [5256 B]
Get: 269 http://deb.debian.org/debian unstable/main arm64 node-unicode-match-property-ecmascript all 2.0.0-2 [4440 B]
Get: 270 http://deb.debian.org/debian unstable/main arm64 node-unicode-match-property-value-ecmascript all 2.1.0+ds-1 [7272 B]
Get: 271 http://deb.debian.org/debian unstable/main arm64 node-regexpu-core all 5.2.2-3 [13.9 kB]
Get: 272 http://deb.debian.org/debian unstable/main arm64 node-source-map-support all 0.5.21+ds+~0.5.4-1 [14.5 kB]
Get: 273 http://deb.debian.org/debian unstable/main arm64 node-to-fast-properties all 3.0.1-3 [4332 B]
Get: 274 http://deb.debian.org/debian unstable/main arm64 node-v8flags all 3.2.0+~3.1.1-1 [7612 B]
Get: 275 http://deb.debian.org/debian unstable/main arm64 node-babel7 all 7.20.15+ds1+~cs214.269.168-6 [712 kB]
Get: 276 http://deb.debian.org/debian unstable/main arm64 node-camelcase all 7.0.0-3 [6032 B]
Get: 277 http://deb.debian.org/debian unstable/main arm64 node-ci-info all 4.0.0+~cs1.1.0-1 [12.5 kB]
Get: 278 http://deb.debian.org/debian unstable/main arm64 node-co all 4.6.0+~4.6.2-2 [9000 B]
Get: 279 http://deb.debian.org/debian unstable/main arm64 node-function-bind all 1.1.2+~cs2.1.14-1 [24.6 kB]
Get: 280 http://deb.debian.org/debian unstable/main arm64 node-object-inspect all 1.12.2+~cs1.8.1-1 [20.8 kB]
Get: 281 http://deb.debian.org/debian unstable/main arm64 node-es-abstract all 1.20.4+~cs26.27.47-2 [137 kB]
Get: 282 http://deb.debian.org/debian unstable/main arm64 node-define-properties all 1.2.1+~cs2.2.3-1 [9080 B]
Get: 283 http://deb.debian.org/debian unstable/main arm64 node-debbundle-es-to-primitive all 1.2.1+~cs9.7.25-2 [39.9 kB]
Get: 284 http://deb.debian.org/debian unstable/main arm64 node-isobject all 4.0.0-2 [5332 B]
Get: 285 http://deb.debian.org/debian unstable/main arm64 node-is-descriptor all 3.0.0-2 [5556 B]
Get: 286 http://deb.debian.org/debian unstable/main arm64 node-define-property all 2.0.2+really+2.0.2-3 [6820 B]
Get: 287 http://deb.debian.org/debian unstable/main arm64 node-defined all 1.0.1+~1.0.0-1 [6776 B]
Get: 288 http://deb.debian.org/debian unstable/main arm64 libjs-prettify all 2015.12.04+dfsg-1.1 [41.7 kB]
Get: 289 http://deb.debian.org/debian unstable/main arm64 node-abbrev all 1.1.1+~1.1.2-1 [5692 B]
Get: 290 http://deb.debian.org/debian unstable/main arm64 node-archy all 1.0.0-6 [4556 B]
Get: 291 http://deb.debian.org/debian unstable/main arm64 libjs-async all 0.8.0-6 [24.2 kB]
Get: 292 http://deb.debian.org/debian unstable/main arm64 node-async all 0.8.0-6 [3748 B]
Get: 293 http://deb.debian.org/debian unstable/main arm64 node-decamelize all 4.0.0-2 [4080 B]
Get: 294 http://deb.debian.org/debian unstable/main arm64 node-es6-error all 4.1.1-5 [6148 B]
Get: 295 http://deb.debian.org/debian unstable/main arm64 node-esprima all 4.0.1+ds+~4.0.3-2 [69.3 kB]
Get: 296 http://deb.debian.org/debian unstable/main arm64 node-escodegen all 2.1.0+dfsg+~0.0.8-1 [23.0 kB]
Get: 297 http://deb.debian.org/debian unstable/main arm64 node-signal-exit all 4.1.0-7 [14.4 kB]
Get: 298 http://deb.debian.org/debian unstable/main arm64 node-foreground-child all 3.1.1-2 [13.3 kB]
Get: 299 http://deb.debian.org/debian unstable/main arm64 node-is-stream all 3.0.0-4 [5076 B]
Get: 300 http://deb.debian.org/debian unstable/main arm64 node-is-windows all 1.0.2+~cs1.0.0-1 [5936 B]
Get: 301 http://deb.debian.org/debian unstable/main arm64 libjs-sprintf-js all 1.1.2+ds1+~1.1.2-1 [12.8 kB]
Get: 302 http://deb.debian.org/debian unstable/main arm64 node-sprintf-js all 1.1.2+ds1+~1.1.2-1 [4024 B]
Get: 303 http://deb.debian.org/debian unstable/main arm64 node-argparse all 2.0.1-2 [34.6 kB]
Get: 304 http://deb.debian.org/debian unstable/main arm64 node-js-yaml all 4.1.0+dfsg+~4.0.5-7 [66.6 kB]
Get: 305 http://deb.debian.org/debian unstable/main arm64 node-nopt all 5.0.0-4 [12.1 kB]
Get: 306 http://deb.debian.org/debian unstable/main arm64 node-npm-run-path all 5.1.0+~4.0.0-8 [6276 B]
Get: 307 http://deb.debian.org/debian unstable/main arm64 node-shebang-regex all 3.0.0-2 [3528 B]
Get: 308 http://deb.debian.org/debian unstable/main arm64 node-shebang-command all 2.0.0-1 [3500 B]
Get: 309 http://deb.debian.org/debian unstable/main arm64 node-strip-bom all 4.0.0-2 [4144 B]
Get: 310 http://deb.debian.org/debian unstable/main arm64 node-hosted-git-info all 6.1.1-2 [12.6 kB]
Get: 311 http://deb.debian.org/debian unstable/main arm64 node-spdx-license-ids all 3.0.12-1 [6276 B]
Get: 312 http://deb.debian.org/debian unstable/main arm64 node-spdx-exceptions all 2.3.0-2 [3992 B]
Get: 313 http://deb.debian.org/debian unstable/main arm64 node-spdx-expression-parse all 3.0.1+~3.0.1-1 [7532 B]
Get: 314 http://deb.debian.org/debian unstable/main arm64 node-spdx-correct all 3.1.1-2 [5464 B]
Get: 315 http://deb.debian.org/debian unstable/main arm64 node-validate-npm-package-license all 3.0.4-2 [4280 B]
Get: 316 http://deb.debian.org/debian unstable/main arm64 node-normalize-package-data all 4.0.1+~2.4.1-1 [13.6 kB]
Get: 317 http://deb.debian.org/debian unstable/main arm64 node-read-pkg all 5.2.0-2 [24.0 kB]
Get: 318 http://deb.debian.org/debian unstable/main arm64 node-uuid all 8.3.2+~8.3.3-4 [44.0 kB]
Get: 319 http://deb.debian.org/debian unstable/main arm64 node-isexe all 2.0.0+~2.0.1-5 [6084 B]
Get: 320 http://deb.debian.org/debian unstable/main arm64 node-which all 2.0.2+~cs1.3.2-3 [8368 B]
Get: 321 http://deb.debian.org/debian unstable/main arm64 libjs-is-typedarray all 1.0.0-4 [3816 B]
Get: 322 http://deb.debian.org/debian unstable/main arm64 node-is-typedarray all 1.0.0-4 [3292 B]
Get: 323 http://deb.debian.org/debian unstable/main arm64 libjs-typedarray-to-buffer all 4.0.0-2 [4668 B]
Get: 324 http://deb.debian.org/debian unstable/main arm64 node-typedarray-to-buffer all 4.0.0-2 [3380 B]
Get: 325 http://deb.debian.org/debian unstable/main arm64 node-write-file-atomic all 4.0.2+~4.0.0-2 [9308 B]
Get: 326 http://deb.debian.org/debian unstable/main arm64 node-slice-ansi all 5.0.0+~cs9.0.0-5 [8788 B]
Get: 327 http://deb.debian.org/debian unstable/main arm64 node-strip-ansi all 6.0.1-2 [4120 B]
Get: 328 http://deb.debian.org/debian unstable/main arm64 node-clone all 2.1.2+~2.1.2-1 [9140 B]
Get: 329 http://deb.debian.org/debian unstable/main arm64 node-defaults all 1.0.4+~1.0.3-1 [4400 B]
Get: 330 http://deb.debian.org/debian unstable/main arm64 node-wcwidth.js all 1.0.2-2 [7088 B]
Get: 331 http://deb.debian.org/debian unstable/main arm64 node-string-width all 4.2.3+~cs13.2.3-1 [10.7 kB]
Get: 332 http://deb.debian.org/debian unstable/main arm64 node-wrap-ansi all 8.0.1+~8.0.1-3 [11.8 kB]
Get: 333 http://deb.debian.org/debian unstable/main arm64 node-cliui all 7.0.4+repack+~cs3.1.0-4 [11.5 kB]
Get: 334 http://deb.debian.org/debian unstable/main arm64 node-get-caller-file all 2.0.5+~cs1.1.1-4 [5728 B]
Get: 335 http://deb.debian.org/debian unstable/main arm64 node-require-directory all 2.1.1+~2.1.2-1 [7092 B]
Get: 336 http://deb.debian.org/debian unstable/main arm64 node-y18n all 5.0.8+~5.0.0-3 [10.2 kB]
Get: 337 http://deb.debian.org/debian unstable/main arm64 node-yargs-parser all 21.1.1+~21.0.0-4 [28.4 kB]
Get: 338 http://deb.debian.org/debian unstable/main arm64 node-yargs all 16.2.0+~16.0.4-7 [128 kB]
Get: 339 http://deb.debian.org/debian unstable/main arm64 node-istanbul all 0.4.5+repack10+~cs98.25.59-2 [211 kB]
Get: 340 http://deb.debian.org/debian unstable/main arm64 node-through all 2.3.8+~cs0.0.30-1 [5452 B]
Get: 341 http://deb.debian.org/debian unstable/main arm64 node-resumer all 0.0.0-6 [4144 B]
Get: 342 http://deb.debian.org/debian unstable/main arm64 node-tape all 5.6.1+~cs8.20.19-1 [70.9 kB]
Get: 343 http://deb.debian.org/debian unstable/main arm64 node-deep-equal all 2.2.3+~cs43.15.94-1 [131 kB]
Get: 344 http://deb.debian.org/debian unstable/main arm64 libjs-util all 0.12.5+~1.0.10-1 [16.0 kB]
Get: 345 http://deb.debian.org/debian unstable/main arm64 node-util all 0.12.5+~1.0.10-1 [5700 B]
Get: 346 http://deb.debian.org/debian unstable/main arm64 node-assert all 2.0.0+~cs3.9.8-2 [26.8 kB]
Get: 347 http://deb.debian.org/debian unstable/main arm64 node-is-arrayish all 0.3.2-3 [3960 B]
Get: 348 http://deb.debian.org/debian unstable/main arm64 node-error-ex all 1.3.2-4 [5656 B]
Get: 349 http://deb.debian.org/debian unstable/main arm64 node-json-parse-better-errors all 1.0.2+~cs3.3.1-2 [7800 B]
Get: 350 http://deb.debian.org/debian unstable/main arm64 node-parse-json all 5.2.0+~cs5.1.7-1 [7356 B]
Get: 351 http://deb.debian.org/debian unstable/main arm64 node-yaml all 2.3.4-1 [121 kB]
Get: 352 http://deb.debian.org/debian unstable/main arm64 node-cosmiconfig all 7.1.0+ds1-1 [28.5 kB]
Get: 353 http://deb.debian.org/debian unstable/main arm64 node-deepmerge all 4.3.1+~1.1.1-1 [11.5 kB]
Get: 354 http://deb.debian.org/debian unstable/main arm64 node-detect-newline all 3.1.0-2 [3808 B]
Get: 355 http://deb.debian.org/debian unstable/main arm64 node-emittery all 1.0.1-1 [848 kB]
Get: 356 http://deb.debian.org/debian unstable/main arm64 node-get-stream all 8.0.1-11 [11.6 kB]
Get: 357 http://deb.debian.org/debian unstable/main arm64 node-merge-stream all 2.0.0+~1.1.2-2 [5124 B]
Get: 358 http://deb.debian.org/debian unstable/main arm64 node-mimic-fn all 4.0.0-5 [5492 B]
Get: 359 http://deb.debian.org/debian unstable/main arm64 node-strip-eof all 3.0.0-5 [4656 B]
Get: 360 http://deb.debian.org/debian unstable/main arm64 node-execa all 8.0.1+dfsg1+~cs12.0.0-1 [43.9 kB]
Get: 361 http://deb.debian.org/debian unstable/main arm64 node-exit all 0.1.2+~0.1.31-2 [5392 B]
Get: 362 http://deb.debian.org/debian unstable/main arm64 node-fast-json-stable-stringify all 2.1.0-2 [4792 B]
Get: 363 http://deb.debian.org/debian unstable/main arm64 node-sane all 4.1.0+~cs18.17.38-2 [49.5 kB]
Get: 364 http://deb.debian.org/debian unstable/main arm64 node-is-generator-fn all 2.1.0-2 [3904 B]
Get: 365 http://deb.debian.org/debian unstable/main arm64 node-babel-plugin-lodash all 3.3.4+~cs2.0.1-7 [11.0 kB]
Get: 366 http://deb.debian.org/debian unstable/main arm64 node-resolve-cwd all 3.0.0-2 [4212 B]
Get: 367 http://deb.debian.org/debian unstable/main arm64 node-jest-debbundle all 29.6.2~ds1+~cs73.45.28-5 [135 kB]
Get: 368 http://deb.debian.org/debian unstable/main arm64 node-jest-worker all 29.6.2~ds1+~cs73.45.28-5 [116 kB]
Get: 369 http://deb.debian.org/debian unstable/main arm64 node-abab all 2.0.6-1 [7236 B]
Get: 370 http://deb.debian.org/debian unstable/main arm64 node-cssom all 0.4.4-3 [13.8 kB]
Get: 371 http://deb.debian.org/debian unstable/main arm64 node-cssstyle all 2.3.0-3 [29.4 kB]
Get: 372 http://deb.debian.org/debian unstable/main arm64 node-entities all 4.5.0+dfsg-1 [49.1 kB]
Get: 373 http://deb.debian.org/debian unstable/main arm64 node-asynckit all 0.4.0-5 [10.3 kB]
Get: 374 http://deb.debian.org/debian unstable/main arm64 node-delayed-stream all 1.0.0-5 [5436 B]
Get: 375 http://deb.debian.org/debian unstable/main arm64 node-combined-stream all 1.0.8+~1.0.3-1 [7316 B]
Get: 376 http://deb.debian.org/debian unstable/main arm64 node-mime all 3.0.0+dfsg+~cs6.97.2-1 [40.2 kB]
Get: 377 http://deb.debian.org/debian unstable/main arm64 node-mime-types all 2.1.35-2 [8752 B]
Get: 378 http://deb.debian.org/debian unstable/main arm64 node-form-data all 4.0.0-1 [13.2 kB]
Get: 379 http://deb.debian.org/debian unstable/main arm64 node-agent-base all 7.1.1~0~2024040606-3 [11.3 kB]
Get: 380 http://deb.debian.org/debian unstable/main arm64 node-http-proxy-agent all 7.0.2~0~2024040606-3 [10.5 kB]
Get: 381 http://deb.debian.org/debian unstable/main arm64 node-https-proxy-agent all 7.0.4~0~2024040606-3 [13.4 kB]
Get: 382 http://deb.debian.org/debian unstable/main arm64 node-iconv-lite all 0.6.3-3 [115 kB]
Get: 383 http://deb.debian.org/debian unstable/main arm64 node-parse5 all 7.1.2+dfsg-2 [55.1 kB]
Get: 384 http://deb.debian.org/debian unstable/main arm64 libjs-psl all 1.8.0+ds-9 [66.2 kB]
Get: 385 http://deb.debian.org/debian unstable/main arm64 node-psl all 1.8.0+ds-9 [38.1 kB]
Get: 386 http://deb.debian.org/debian unstable/main arm64 node-universalify all 2.0.0-3 [4248 B]
Get: 387 http://deb.debian.org/debian unstable/main arm64 node-querystringify all 2.2.0+~2.0.0-2 [5876 B]
Get: 388 http://deb.debian.org/debian unstable/main arm64 node-requires-port all 1.0.0-2 [4264 B]
Get: 389 http://deb.debian.org/debian unstable/main arm64 node-url-parse all 1.5.10+~1.4.8-3 [20.8 kB]
Get: 390 http://deb.debian.org/debian unstable/main arm64 node-tough-cookie all 4.1.3+~4.0.2-2 [34.6 kB]
Get: 391 http://deb.debian.org/debian unstable/main arm64 node-webidl-conversions all 7.0.0~1.1.0+~cs15.1.20180823-3 [27.6 kB]
Get: 392 http://deb.debian.org/debian unstable/main arm64 node-mute-stream all 0.0.8+~0.0.1-3 [6232 B]
Get: 393 http://deb.debian.org/debian unstable/main arm64 node-read all 1.0.7-5 [5388 B]
Get: 394 http://deb.debian.org/debian unstable/main arm64 node-ws all 8.11.0+~cs13.7.3-2 [51.1 kB]
Get: 395 http://deb.debian.org/debian unstable/main arm64 node-jsdom all 20.0.3+~cs124.18.21-4 [453 kB]
Get: 396 http://deb.debian.org/debian unstable/main arm64 node-leven all 4.0.0+~cs1.1.1-2 [6224 B]
Get: 397 http://deb.debian.org/debian unstable/main arm64 node-prompts all 2.4.2+~cs7.5.11-1 [34.5 kB]
Get: 398 http://deb.debian.org/debian unstable/main arm64 node-pure-rand all 6.0.4+ds1-1 [16.9 kB]
Get: 399 http://deb.debian.org/debian unstable/main arm64 node-loose-envify all 1.4.0+dfsg1-4 [6540 B]
Get: 400 http://deb.debian.org/debian unstable/main arm64 node-react all 18.2.0+dfsg+~cs88.72.123-1 [132 kB]
Get: 401 http://deb.debian.org/debian unstable/main arm64 node-scheduler all 0.22.0~18.2.0+dfsg+~cs88.72.123-1 [68.4 kB]
Get: 402 http://deb.debian.org/debian unstable/main arm64 node-react-dom all 18.1.0~18.2.0+dfsg+~cs88.72.123-1 [415 kB]
Get: 403 http://deb.debian.org/debian unstable/main arm64 node-react-is all 18.1.0~18.2.0+dfsg+~cs88.72.123-1 [62.3 kB]
Get: 404 http://deb.debian.org/debian unstable/main arm64 node-react-shallow-renderer all 16.15.0~18.2.0+dfsg+~cs88.72.123-1 [72.4 kB]
Get: 405 http://deb.debian.org/debian unstable/main arm64 node-react-test-renderer all 18.1.0~18.2.0+dfsg+~cs88.72.123-1 [238 kB]
Get: 406 http://deb.debian.org/debian unstable/main arm64 node-sinclair-typebox all 0.24.44-3 [23.4 kB]
Get: 407 http://deb.debian.org/debian unstable/main arm64 node-array-from all 2.1.1-3 [8008 B]
Get: 408 http://deb.debian.org/debian unstable/main arm64 node-diff all 5.0.0~dfsg+~5.0.1-4 [69.7 kB]
Get: 409 http://deb.debian.org/debian unstable/main arm64 node-es6-symbol all 3.1.3+~cs3.11.0-2 [20.2 kB]
Get: 410 http://deb.debian.org/debian unstable/main arm64 node-es6-iterator all 2.0.3-4 [7996 B]
Get: 411 http://deb.debian.org/debian unstable/main arm64 node-es5-ext all 0.10.64+dfsg1+~1.1.0-2 [89.2 kB]
Get: 412 http://deb.debian.org/debian unstable/main arm64 node-d all 1.0.1+~1.0.1-2 [7764 B]
Get: 413 http://deb.debian.org/debian unstable/main arm64 node-event-emitter all 0.3.5-4 [7396 B]
Get: 414 http://deb.debian.org/debian unstable/main arm64 node-is-object all 1.0.2+~1.0.2-2 [9164 B]
Get: 415 http://deb.debian.org/debian unstable/main arm64 node-merge-descriptors all 1.0.1-3 [4772 B]
Get: 416 http://deb.debian.org/debian unstable/main arm64 node-path-to-regexp all 6.2.1-1 [19.8 kB]
Get: 417 http://deb.debian.org/debian unstable/main arm64 node-type-detect all 4.0.8-4 [11.0 kB]
Get: 418 http://deb.debian.org/debian unstable/main arm64 node-sinon all 17.0.2+ds+~cs88.14.20-1 [665 kB]
Get: 419 http://deb.debian.org/debian unstable/main arm64 node-stack-utils all 2.0.6+~2.0.1-1 [9260 B]
Get: 420 http://deb.debian.org/debian unstable/main arm64 jest all 29.6.2~ds1+~cs73.45.28-5 [579 kB]
Get: 421 http://deb.debian.org/debian unstable/main arm64 libaec0 arm64 1.1.3-1 [22.1 kB]
Get: 422 http://deb.debian.org/debian unstable/main arm64 libblas3 arm64 3.12.0-3 [91.7 kB]
Get: 423 http://deb.debian.org/debian unstable/main arm64 libcurl4t64 arm64 8.8.0-1 [411 kB]
Get: 424 http://deb.debian.org/debian unstable/main arm64 libdeflate0 arm64 1.20-1 [41.5 kB]
Get: 425 http://deb.debian.org/debian unstable/main arm64 libfribidi0 arm64 1.0.13-3+b1 [71.3 kB]
Get: 426 http://deb.debian.org/debian unstable/main arm64 libgfortran5 arm64 14.1.0-1 [361 kB]
Get: 427 http://deb.debian.org/debian unstable/main arm64 libgraphite2-3 arm64 1.3.14-2 [69.2 kB]
Get: 428 http://deb.debian.org/debian unstable/main arm64 libharfbuzz0b arm64 8.3.0-2+b1 [2178 kB]
Get: 429 http://deb.debian.org/debian unstable/main arm64 libsz2 arm64 1.1.3-1 [7664 B]
Get: 430 http://deb.debian.org/debian unstable/main arm64 libhdf5-103-1t64 arm64 1.10.10+repack-3.3 [1035 kB]
Get: 431 http://deb.debian.org/debian unstable/main arm64 libhdf5-hl-100t64 arm64 1.10.10+repack-3.3 [60.1 kB]
Get: 432 http://deb.debian.org/debian unstable/main arm64 libimagequant0 arm64 2.18.0-1+b1 [34.6 kB]
Get: 433 http://deb.debian.org/debian unstable/main arm64 libjbig0 arm64 2.1-6.1+b1 [30.4 kB]
Get: 434 http://deb.debian.org/debian unstable/main arm64 libjpeg62-turbo arm64 1:2.1.5-3 [172 kB]
Get: 435 http://deb.debian.org/debian unstable/main arm64 libjs-underscore all 1.13.4~dfsg+~1.11.4-3 [116 kB]
Get: 436 http://deb.debian.org/debian unstable/main arm64 libjs-backbone all 1.4.1~dfsg+~1.4.15-3 [186 kB]
Get: 437 http://deb.debian.org/debian unstable/main arm64 libjs-bootstrap all 3.4.1+dfsg-3 [172 kB]
Get: 438 http://deb.debian.org/debian unstable/main arm64 libjs-d3-format all 1:1.4.5+~1.4.2-2 [17.7 kB]
Get: 439 http://deb.debian.org/debian unstable/main arm64 libjs-events all 3.3.0+~3.0.0-3 [11.3 kB]
Get: 440 http://deb.debian.org/debian unstable/main arm64 libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [326 kB]
Get: 441 http://deb.debian.org/debian unstable/main arm64 libjs-jquery-ui all 1.13.2+dfsg-1 [250 kB]
Get: 442 http://deb.debian.org/debian unstable/main arm64 libjs-simulate-event all 1.4.0-2 [8000 B]
Get: 443 http://deb.debian.org/debian unstable/main arm64 liblapack3 arm64 3.12.0-3 [1757 kB]
Get: 444 http://deb.debian.org/debian unstable/main arm64 liblbfgsb0 arm64 3.0+dfsg.4-1+b1 [25.0 kB]
Get: 445 http://deb.debian.org/debian unstable/main arm64 liblcms2-2 arm64 2.14-2+b1 [144 kB]
Get: 446 http://deb.debian.org/debian unstable/main arm64 liblerc4 arm64 4.0.0+ds-4+b1 [142 kB]
Get: 447 http://deb.debian.org/debian unstable/main arm64 liblzf1 arm64 3.6-4+b1 [10.3 kB]
Get: 448 http://deb.debian.org/debian unstable/main arm64 libssl-dev arm64 3.2.1-3 [3089 kB]
Get: 449 http://deb.debian.org/debian unstable/main arm64 libuv1-dev arm64 1.48.0-4 [181 kB]
Get: 450 http://deb.debian.org/debian unstable/main arm64 libnode-dev arm64 20.13.1+dfsg-2 [531 kB]
Get: 451 http://deb.debian.org/debian unstable/main arm64 libnorm1t64 arm64 1.5.9+dfsg-3.1 [204 kB]
Get: 452 http://deb.debian.org/debian unstable/main arm64 libopenjp2-7 arm64 2.5.0-2+b3 [177 kB]
Get: 453 http://deb.debian.org/debian unstable/main arm64 libpgm-5.3-0t64 arm64 5.3.128~dfsg-2.1 [151 kB]
Get: 454 http://deb.debian.org/debian unstable/main arm64 libpython3.12-stdlib arm64 3.12.3-1 [1889 kB]
Get: 455 http://deb.debian.org/debian unstable/main arm64 libqhull-r8.0 arm64 2020.2-6+b1 [226 kB]
Get: 456 http://deb.debian.org/debian unstable/main arm64 libraqm0 arm64 0.10.1-1+b1 [13.7 kB]
Get: 457 http://deb.debian.org/debian unstable/main arm64 libsharpyuv0 arm64 1.4.0-0.1 [111 kB]
Get: 458 http://deb.debian.org/debian unstable/main arm64 libsodium23 arm64 1.0.18-1+b1 [118 kB]
Get: 459 http://deb.debian.org/debian unstable/main arm64 libsymspg2 arm64 2.4.0-1 [191 kB]
Get: 460 http://deb.debian.org/debian unstable/main arm64 libwebp7 arm64 1.4.0-0.1 [267 kB]
Get: 461 http://deb.debian.org/debian unstable/main arm64 libtiff6 arm64 4.5.1+git230720-4 [307 kB]
Get: 462 http://deb.debian.org/debian unstable/main arm64 libwebpdemux2 arm64 1.4.0-0.1 [110 kB]
Get: 463 http://deb.debian.org/debian unstable/main arm64 libwebpmux3 arm64 1.4.0-0.1 [122 kB]
Get: 464 http://deb.debian.org/debian unstable/main arm64 libxslt1.1 arm64 1.1.35-1+b1 [221 kB]
Get: 465 http://deb.debian.org/debian unstable/main arm64 libyaml-0-2 arm64 0.2.5-1+b1 [49.0 kB]
Get: 466 http://deb.debian.org/debian unstable/main arm64 libzmq5 arm64 4.3.5-1+b2 [251 kB]
Get: 467 http://deb.debian.org/debian unstable/main arm64 node-ajv-keywords all 5.1.0-4 [32.3 kB]
Get: 468 http://deb.debian.org/debian unstable/main arm64 node-aproba all 2.0.0-3 [5844 B]
Get: 469 http://deb.debian.org/debian unstable/main arm64 node-delegates all 1.0.0-3 [4528 B]
Get: 470 http://deb.debian.org/debian unstable/main arm64 node-are-we-there-yet all 3.0.1+~1.1.0-1 [10.0 kB]
Get: 471 http://deb.debian.org/debian unstable/main arm64 node-async-each all 1.0.3-3 [4292 B]
Get: 472 http://deb.debian.org/debian unstable/main arm64 node-underscore all 1.13.4~dfsg+~1.11.4-3 [120 kB]
Get: 473 http://deb.debian.org/debian unstable/main arm64 node-backbone all 1.4.1~dfsg+~1.4.15-3 [109 kB]
Get: 474 http://deb.debian.org/debian unstable/main arm64 node-base16 all 1.0.0+~cs1.0.2-3 [11.3 kB]
Get: 475 http://deb.debian.org/debian unstable/main arm64 node-big.js all 6.2.1+ds+~6.1.5-2 [26.8 kB]
Get: 476 http://deb.debian.org/debian unstable/main arm64 node-binary-extensions all 2.2.0-2 [4408 B]
Get: 477 http://deb.debian.org/debian unstable/main arm64 node-tslib all 2.4.1-1 [19.5 kB]
Get: 478 http://deb.debian.org/debian unstable/main arm64 node-change-case all 0.0~git20211010.040a079-1 [19.6 kB]
Get: 479 http://deb.debian.org/debian unstable/main arm64 node-is-binary-path all 2.1.0-5 [3684 B]
Get: 480 http://deb.debian.org/debian unstable/main arm64 node-path-is-absolute all 2.0.0-2 [4068 B]
Get: 481 http://deb.debian.org/debian unstable/main arm64 node-set-immediate-shim all 2.0.0-2 [3740 B]
Get: 482 http://deb.debian.org/debian unstable/main arm64 node-readdirp all 3.6.0-1 [11.5 kB]
Get: 483 http://deb.debian.org/debian unstable/main arm64 node-chokidar all 3.6.0-2 [32.3 kB]
Get: 484 http://deb.debian.org/debian unstable/main arm64 node-chownr all 2.0.0-2 [4424 B]
Get: 485 http://deb.debian.org/debian unstable/main arm64 node-chrome-trace-event all 1.0.3-2 [6984 B]
Get: 486 http://deb.debian.org/debian unstable/main arm64 node-codemirror-state all 6.2.0-2 [41.3 kB]
Get: 487 http://deb.debian.org/debian unstable/main arm64 node-style-mod all 4.1.2~6.26.3+~cs119.66.50-1 [9008 B]
Get: 488 http://deb.debian.org/debian unstable/main arm64 node-w3c-keyname all 2.2.6-2 [4632 B]
Get: 489 http://deb.debian.org/debian unstable/main arm64 node-codemirror-view all 6.26.3~6.26.3+~cs119.66.50-1 [152 kB]
Get: 490 http://deb.debian.org/debian unstable/main arm64 node-lezer-common all 1.2.1~1.4.16+~cs14.25.46-1 [62.8 kB]
Get: 491 http://deb.debian.org/debian unstable/main arm64 node-codemirror-language all 6.10.1~6.26.3+~cs119.66.50-1 [166 kB]
Get: 492 http://deb.debian.org/debian unstable/main arm64 node-codemirror-autocomplete all 6.16.0~6.26.3+~cs119.66.50-1 [179 kB]
Get: 493 http://deb.debian.org/debian unstable/main arm64 node-codemirror-commands all 6.5.0~6.26.3+~cs119.66.50-1 [175 kB]
Get: 494 http://deb.debian.org/debian unstable/main arm64 node-lezer-cpp all 1.1.2~1.4.16+~cs14.25.46-1 [38.1 kB]
Get: 495 http://deb.debian.org/debian unstable/main arm64 node-codemirror-lang-cpp all 6.0.2~6.26.3+~cs119.66.50-1 [190 kB]
Get: 496 http://deb.debian.org/debian unstable/main arm64 node-lezer-css all 1.1.8~1.4.16+~cs14.25.46-1 [12.8 kB]
Get: 497 http://deb.debian.org/debian unstable/main arm64 node-codemirror-lang-css all 6.2.1~6.26.3+~cs119.66.50-1 [174 kB]
Get: 498 http://deb.debian.org/debian unstable/main arm64 node-crelt all 1.0.6~6.26.3+~cs119.66.50-1 [6012 B]
Get: 499 http://deb.debian.org/debian unstable/main arm64 node-codemirror-lint all 6.7.0~6.26.3+~cs119.66.50-1 [129 kB]
Get: 500 http://deb.debian.org/debian unstable/main arm64 node-lezer-javascript all 1.4.16+~cs14.25.46-1 [36.7 kB]
Get: 501 http://deb.debian.org/debian unstable/main arm64 node-codemirror-lang-javascript all 6.2.2~6.26.3+~cs119.66.50-1 [229 kB]
Get: 502 http://deb.debian.org/debian unstable/main arm64 node-codemirror-lang-html all 6.4.9~6.26.3+~cs119.66.50-1 [281 kB]
Get: 503 http://deb.debian.org/debian unstable/main arm64 node-lezer-java all 1.1.2~1.4.16+~cs14.25.46-1 [22.4 kB]
Get: 504 http://deb.debian.org/debian unstable/main arm64 node-codemirror-lang-java all 6.0.1~6.26.3+~cs119.66.50-1 [177 kB]
Get: 505 http://deb.debian.org/debian unstable/main arm64 node-lezer-json all 1.0.2~1.4.16+~cs14.25.46-1 [6224 B]
Get: 506 http://deb.debian.org/debian unstable/main arm64 node-codemirror-lang-json all 6.0.1~6.26.3+~cs119.66.50-1 [165 kB]
Get: 507 http://deb.debian.org/debian unstable/main arm64 node-lezer-markdown all 1.3.0~1.4.16+~cs14.25.46-1 [44.4 kB]
Get: 508 http://deb.debian.org/debian unstable/main arm64 node-codemirror-lang-markdown all 6.26.3+~cs119.66.50-1 [490 kB]
Get: 509 http://deb.debian.org/debian unstable/main arm64 node-lezer-php all 1.0.2~1.4.16+~cs14.25.46-1 [30.4 kB]
Get: 510 http://deb.debian.org/debian unstable/main arm64 node-codemirror-lang-php all 6.0.1~6.26.3+~cs119.66.50-1 [305 kB]
Get: 511 http://deb.debian.org/debian unstable/main arm64 node-lezer-python all 1.1.13~1.4.16+~cs14.25.46-1 [23.2 kB]
Get: 512 http://deb.debian.org/debian unstable/main arm64 node-codemirror-lang-python all 6.1.6~6.26.3+~cs119.66.50-1 [212 kB]
Get: 513 http://deb.debian.org/debian unstable/main arm64 node-lezer-rust all 1.0.2~1.4.16+~cs14.25.46-1 [29.7 kB]
Get: 514 http://deb.debian.org/debian unstable/main arm64 node-codemirror-lang-rust all 6.0.1~6.26.3+~cs119.66.50-1 [184 kB]
Get: 515 http://deb.debian.org/debian unstable/main arm64 node-codemirror-lang-sql all 6.6.4~6.26.3+~cs119.66.50-1 [208 kB]
Get: 516 http://deb.debian.org/debian unstable/main arm64 node-codemirror-lang-wast all 6.0.2~6.26.3+~cs119.66.50-1 [165 kB]
Get: 517 http://deb.debian.org/debian unstable/main arm64 node-lezer-xml all 1.0.5~1.4.16+~cs14.25.46-1 [10.1 kB]
Get: 518 http://deb.debian.org/debian unstable/main arm64 node-codemirror-lang-xml all 6.1.0~6.26.3+~cs119.66.50-1 [180 kB]
Get: 519 http://deb.debian.org/debian unstable/main arm64 node-codemirror-legacy-modes all 6.4.0~6.26.3+~cs119.66.50-1 [206 kB]
Get: 520 http://deb.debian.org/debian unstable/main arm64 node-codemirror-search all 6.5.6~6.26.3+~cs119.66.50-1 [132 kB]
Get: 521 http://deb.debian.org/debian unstable/main arm64 node-simple-swizzle all 0.2.2-5 [4056 B]
Get: 522 http://deb.debian.org/debian unstable/main arm64 node-color-string all 1.9.1-2 [5956 B]
Get: 523 http://deb.debian.org/debian unstable/main arm64 node-color all 4.2.3+~cs3.0.3-1 [8904 B]
Get: 524 http://deb.debian.org/debian unstable/main arm64 node-console-control-strings all 1.1.0-3 [5564 B]
Get: 525 http://deb.debian.org/debian unstable/main arm64 node-css-selector-tokenizer all 0.8.0+~cs4.8.3-1 [13.0 kB]
Get: 526 http://deb.debian.org/debian unstable/main arm64 node-postcss all 8.4.31+~cs8.0.26-1 [188 kB]
Get: 527 http://deb.debian.org/debian unstable/main arm64 node-icss-utils all 5.1.0+~5.1.0-1 [7564 B]
Get: 528 http://deb.debian.org/debian unstable/main arm64 node-postcss-modules-extract-imports all 3.0.0-2 [6584 B]
Get: 529 http://deb.debian.org/debian unstable/main arm64 node-postcss-modules-values all 4.0.0+~4.0.0-1 [7180 B]
Get: 530 http://deb.debian.org/debian unstable/main arm64 node-postcss-value-parser all 4.2.0-1 [10.4 kB]
Get: 531 http://deb.debian.org/debian unstable/main arm64 node-prr all 1.0.1-3 [4352 B]
Get: 532 http://deb.debian.org/debian unstable/main arm64 node-errno all 1.0.0-3 [7736 B]
Get: 533 http://deb.debian.org/debian unstable/main arm64 node-memory-fs all 0.5.0+~0.3.3-2 [7676 B]
Get: 534 http://deb.debian.org/debian unstable/main arm64 node-tapable all 2.2.1-3 [13.5 kB]
Get: 535 http://deb.debian.org/debian unstable/main arm64 node-enhanced-resolve all 5.15.0-1 [36.4 kB]
Get: 536 http://deb.debian.org/debian unstable/main arm64 node-es-module-lexer all 1.1.0+dfsg-3 [19.8 kB]
Get: 537 http://deb.debian.org/debian unstable/main arm64 node-events all 3.3.0+~3.0.0-3 [5888 B]
Get: 538 http://deb.debian.org/debian unstable/main arm64 node-interpret all 2.2.0-3 [7660 B]
Get: 539 http://deb.debian.org/debian unstable/main arm64 node-loader-runner all 4.3.0-1 [7644 B]
Get: 540 http://deb.debian.org/debian unstable/main arm64 node-rechoir all 0.8.0+~0.6.1-2 [6628 B]
Get: 541 http://deb.debian.org/debian unstable/main arm64 node-schema-utils all 4.2.0~ds-3 [22.0 kB]
Get: 542 http://deb.debian.org/debian unstable/main arm64 node-randombytes all 2.1.0+~2.0.0-2 [4852 B]
Get: 543 http://deb.debian.org/debian unstable/main arm64 node-serialize-javascript all 6.0.1-1 [12.8 kB]
Get: 544 http://deb.debian.org/debian unstable/main arm64 node-watchpack all 2.4.0+~cs2.8.1-1 [20.2 kB]
Get: 545 http://deb.debian.org/debian unstable/main arm64 node-webassemblyjs all 1.11.4+dfsg+~cs10.11.17-2 [139 kB]
Get: 546 http://deb.debian.org/debian unstable/main arm64 node-source-list-map all 2.0.1+dfsg+~0.1.2-1 [10.1 kB]
Get: 547 http://deb.debian.org/debian unstable/main arm64 node-webpack-sources all 3.2.3+~3.2.0-2 [23.2 kB]
Get: 548 http://deb.debian.org/debian unstable/main arm64 node-terser all 5.19.2-1 [208 kB]
Get: 549 http://deb.debian.org/debian unstable/main arm64 terser all 5.19.2-1 [17.5 kB]
Get: 550 http://deb.debian.org/debian unstable/main arm64 node-envinfo all 7.11.0+~cs14.3.0-3 [32.6 kB]
Get: 551 http://deb.debian.org/debian unstable/main arm64 webpack all 5.76.1+dfsg2+~cs10.8.15-3 [714 kB]
Get: 552 http://deb.debian.org/debian unstable/main arm64 node-css-loader all 6.8.1+~cs14.0.17-1 [74.5 kB]
Get: 553 http://deb.debian.org/debian unstable/main arm64 node-csstype all 3.1.3-1 [88.8 kB]
Get: 554 http://deb.debian.org/debian unstable/main arm64 node-d3-array all 3.2.0+~cs5.0.6-2 [44.1 kB]
Get: 555 http://deb.debian.org/debian unstable/main arm64 node-d3-collection all 1.0.7+~1.0.10-1 [16.9 kB]
Get: 556 http://deb.debian.org/debian unstable/main arm64 node-d3-color all 1.4.1+~1.4.2-1 [19.1 kB]
Get: 557 http://deb.debian.org/debian unstable/main arm64 node-d3-delaunay all 6.0.4+~cs19.0.3-2 [40.6 kB]
Get: 558 http://deb.debian.org/debian unstable/main arm64 node-d3-dispatch all 1.0.6+~1.0.9-1 [9560 B]
Get: 559 http://deb.debian.org/debian unstable/main arm64 node-d3-queue all 3.0.7-13 [10.2 kB]
Get: 560 http://deb.debian.org/debian unstable/main arm64 node-rw all 1.3.3-5 [7428 B]
Get: 561 http://deb.debian.org/debian unstable/main arm64 node-d3-dsv all 1.2.0+~1.2.3-1 [17.4 kB]
Get: 562 http://deb.debian.org/debian unstable/main arm64 node-d3-quadtree all 1.0.7+~1.0.9-1 [16.0 kB]
Get: 563 http://deb.debian.org/debian unstable/main arm64 node-d3-timer all 1.0.10+~1.0.10-1 [10.3 kB]
Get: 564 http://deb.debian.org/debian unstable/main arm64 node-d3-force all 2.1.1+~2.1.4-1 [30.2 kB]
Get: 565 http://deb.debian.org/debian unstable/main arm64 node-d3-format all 1:1.4.5+~1.4.2-2 [12.6 kB]
Get: 566 http://deb.debian.org/debian unstable/main arm64 node-d3-geo all 1.12.1+~1.12.4-1 [65.5 kB]
Get: 567 http://deb.debian.org/debian unstable/main arm64 node-d3-geo-projection all 4.0.0-2 [99.4 kB]
Get: 568 http://deb.debian.org/debian unstable/main arm64 node-d3-hierarchy all 1.1.9+~1.1.8-1 [34.1 kB]
Get: 569 http://deb.debian.org/debian unstable/main arm64 node-d3-interpolate all 1.4.0+~1.4.2-1 [23.3 kB]
Get: 570 http://deb.debian.org/debian unstable/main arm64 node-d3-path all 1.0.9+~1.0.9-1 [10.2 kB]
Get: 571 http://deb.debian.org/debian unstable/main arm64 node-d3-time all 1.1.0+~1.1.1-1 [18.7 kB]
Get: 572 http://deb.debian.org/debian unstable/main arm64 node-d3-time-format all 2.3.0+~2.3.1-1 [22.9 kB]
Get: 573 http://deb.debian.org/debian unstable/main arm64 node-d3-scale all 2.2.2+~2.2.6-1 [42.7 kB]
Get: 574 http://deb.debian.org/debian unstable/main arm64 node-d3-shape all 1.3.7+~1.3.8-1 [54.8 kB]
Get: 575 http://deb.debian.org/debian unstable/main arm64 node-data-uri-to-buffer all 6.0.2~0~2024040606-3 [8860 B]
Get: 576 http://deb.debian.org/debian unstable/main arm64 node-domelementtype all 2.3.0-1 [4984 B]
Get: 577 http://deb.debian.org/debian unstable/main arm64 node-domhandler all 5.0.3-4 [14.3 kB]
Get: 578 http://deb.debian.org/debian unstable/main arm64 node-dom-serializer all 2.0.0-4 [8980 B]
Get: 579 http://deb.debian.org/debian unstable/main arm64 node-domutils all 3.1.0-2 [24.0 kB]
Get: 580 http://deb.debian.org/debian unstable/main arm64 node-emojis-list all 3.0.0-2 [8244 B]
Get: 581 http://deb.debian.org/debian unstable/main arm64 node-encoding all 0.1.13-2 [4400 B]
Get: 582 http://deb.debian.org/debian unstable/main arm64 node-escape-html all 1.0.3+~1.0.2-2 [5120 B]
Get: 583 http://deb.debian.org/debian unstable/main arm64 node-extend-shallow all 3.0.2-3 [5724 B]
Get: 584 http://deb.debian.org/debian unstable/main arm64 node-time-stamp all 2.2.0-2 [6016 B]
Get: 585 http://deb.debian.org/debian unstable/main arm64 node-fancy-log all 1.3.3+~cs1.3.1-2 [7940 B]
Get: 586 http://deb.debian.org/debian unstable/main arm64 node-fast-json-patch all 3.1.1+ds-2 [24.9 kB]
Get: 587 http://deb.debian.org/debian unstable/main arm64 node-fetch all 3.3.2+~cs11.4.11-3 [213 kB]
Get: 588 http://deb.debian.org/debian unstable/main arm64 node-fortawesome-fontawesome-free all 6.4.2+ds1-1 [1472 kB]
Get: 589 http://deb.debian.org/debian unstable/main arm64 node-free-style all 4.1.0-2 [25.4 kB]
Get: 590 http://deb.debian.org/debian unstable/main arm64 node-jsonfile all 6.1.0-4 [8496 B]
Get: 591 http://deb.debian.org/debian unstable/main arm64 node-klaw all 4.0.1-2 [8020 B]
Get: 592 http://deb.debian.org/debian unstable/main arm64 node-fs-extra all 10.1.0+~9.0.13-1 [39.8 kB]
Get: 593 http://deb.debian.org/debian unstable/main arm64 node-has-unicode all 2.0.1-5 [3992 B]
Get: 594 http://deb.debian.org/debian unstable/main arm64 node-wide-align all 1.1.3-4 [4244 B]
Get: 595 http://deb.debian.org/debian unstable/main arm64 node-gauge all 4.0.4-2 [19.7 kB]
Get: 596 http://deb.debian.org/debian unstable/main arm64 node-min-document all 2.19.0+~cs2.20.2-2 [8972 B]
Get: 597 http://deb.debian.org/debian unstable/main arm64 node-process all 0.11.10-3 [5560 B]
Get: 598 http://deb.debian.org/debian unstable/main arm64 node-global all 4.13.1+really-4.4.0~4.13.1+~cs12.12.4-2 [16.9 kB]
Get: 599 http://deb.debian.org/debian unstable/main arm64 node-set-blocking all 2.0.0-2 [4248 B]
Get: 600 http://deb.debian.org/debian unstable/main arm64 node-npmlog all 7.0.1+~4.1.4-1 [11.4 kB]
Get: 601 http://deb.debian.org/debian unstable/main arm64 node-osenv all 0.1.5+~0.1.1-1 [5884 B]
Get: 602 http://deb.debian.org/debian unstable/main arm64 node-jsonparse all 1.3.1-10 [8020 B]
Get: 603 http://deb.debian.org/debian unstable/main arm64 node-minipass all 3.3.6+~cs9.4.19-1 [43.0 kB]
Get: 604 http://deb.debian.org/debian unstable/main arm64 node-tar all 6.1.13+~cs7.0.5-3 [51.7 kB]
Get: 605 http://deb.debian.org/debian unstable/main arm64 node-gyp all 9.3.0-3 [58.0 kB]
Get: 606 http://deb.debian.org/debian unstable/main arm64 node-htmlparser2 all 9.0.0-1 [31.4 kB]
Get: 607 http://deb.debian.org/debian unstable/main arm64 node-isomorphic.js all 0.2.5-1 [3644 B]
Get: 608 http://deb.debian.org/debian unstable/main arm64 node-jquery all 3.6.1+dfsg+~3.5.14-1 [160 kB]
Get: 609 http://deb.debian.org/debian unstable/main arm64 node-lezer-generator all 1.7.0~1.4.16+~cs14.25.46-1 [47.4 kB]
Get: 610 http://deb.debian.org/debian unstable/main arm64 node-lumino all 2024.3.25-1 [524 kB]
Get: 611 http://deb.debian.org/debian unstable/main arm64 node-marked all 4.2.3+ds+~4.0.7-3 [78.6 kB]
Get: 612 http://deb.debian.org/debian unstable/main arm64 node-mj-context-menu all 0.9.1+ds-2 [69.9 kB]
Get: 613 http://deb.debian.org/debian unstable/main arm64 node-speech-rule-engine all 4.0.7+~0.1.31-2 [532 kB]
Get: 614 http://deb.debian.org/debian unstable/main arm64 node-mathjax-full all 3.2.2+~cs4.2.1-2 [3539 kB]
Get: 615 http://deb.debian.org/debian unstable/main arm64 node-loader-utils all 2.0.4-1 [15.5 kB]
Get: 616 http://deb.debian.org/debian unstable/main arm64 node-mini-css-extract-plugin all 2.4.6+~2.4.0-4 [34.1 kB]
Get: 617 http://deb.debian.org/debian unstable/main arm64 node-path-browserify all 1.0.1-3 [8148 B]
Get: 618 http://deb.debian.org/debian unstable/main arm64 node-playwright all 1.38.0+ds-3 [1244 kB]
Get: 619 http://deb.debian.org/debian unstable/main arm64 node-warning all 4.0.3+~cs3.0.2-1 [6280 B]
Get: 620 http://deb.debian.org/debian unstable/main arm64 node-prop-types all 15.8.1+~15.7.9+~cs1.1.1-1 [30.4 kB]
Get: 621 http://deb.debian.org/debian unstable/main arm64 node-react-highlight-words all 0.20.0+~cs7.18.6-1 [32.8 kB]
Get: 622 http://deb.debian.org/debian unstable/main arm64 node-react-base16-styling all 0.9.1~3.13.1~git20230831-2 [8548 B]
Get: 623 http://deb.debian.org/debian unstable/main arm64 node-react-json-tree all 0.18.0~3.13.1~git20230831-2 [59.0 kB]
Get: 624 http://deb.debian.org/debian unstable/main arm64 node-react-paginate all 8.2.0+ds-1 [29.6 kB]
Get: 625 http://deb.debian.org/debian unstable/main arm64 node-react-toastify all 9.1.2+~1.2.1-3 [34.4 kB]
Get: 626 http://deb.debian.org/debian unstable/main arm64 node-regex-not all 1.0.2+~1.0.0-1 [6772 B]
Get: 627 http://deb.debian.org/debian unstable/main arm64 node-to-regex all 3.0.2+~cs6.3.28-1 [55.3 kB]
Get: 628 http://deb.debian.org/debian unstable/main arm64 node-regexp-match-indices all 1.0.2~git20190823-2 [12.3 kB]
Get: 629 http://deb.debian.org/debian unstable/main arm64 node-markdown-to-jsx all 7.2.0+dfsg-2 [19.8 kB]
Get: 630 http://deb.debian.org/debian unstable/main arm64 node-rjsf all 5.12.1+~5.0.1-2 [350 kB]
Get: 631 http://deb.debian.org/debian unstable/main arm64 node-parse-srcset all 1.0.2-4 [6360 B]
Get: 632 http://deb.debian.org/debian unstable/main arm64 node-sanitize-html all 2.13.0+~2.11.0-1 [33.6 kB]
Get: 633 http://deb.debian.org/debian unstable/main arm64 node-source-map-loader all 4.0.1-2 [12.9 kB]
Get: 634 http://deb.debian.org/debian unstable/main arm64 node-vdom-to-html all 2.3.1+~cs24.7.3-2 [48.3 kB]
Get: 635 http://deb.debian.org/debian unstable/main arm64 node-stdlib all 0.0.96+ds1+~cs0.0.429-2 [15.8 MB]
Get: 636 http://deb.debian.org/debian unstable/main arm64 node-style-loader all 3.3.1-2 [21.1 kB]
Get: 637 http://deb.debian.org/debian unstable/main arm64 node-make-error all 1.3.7-3 [5232 B]
Get: 638 http://deb.debian.org/debian unstable/main arm64 node-typescript all 4.8.4+ds1-2 [7337 kB]
Get: 639 http://deb.debian.org/debian unstable/main arm64 ts-jest all 29.1.1+~cs0.2.6-2 [120 kB]
Get: 640 http://deb.debian.org/debian unstable/main arm64 node-typestyle all 2.4.0+ds+~3.0.10-1 [101 kB]
Get: 641 http://deb.debian.org/debian unstable/main arm64 node-vega all 5.28.0+ds+~cs5.3.0-1 [2336 kB]
Get: 642 http://deb.debian.org/debian unstable/main arm64 node-vega-lite all 5.18.1+~4.0.0-1 [1018 kB]
Get: 643 http://deb.debian.org/debian unstable/main arm64 node-vega-themes all 2.14.0-2 [22.8 kB]
Get: 644 http://deb.debian.org/debian unstable/main arm64 node-vega-tooltip all 0.33.0-2 [29.4 kB]
Get: 645 http://deb.debian.org/debian unstable/main arm64 node-vega-embed all 6.23.0-1 [157 kB]
Get: 646 http://deb.debian.org/debian unstable/main arm64 node-vscode-debugprotocol all 1.57.0-2 [24.4 kB]
Get: 647 http://deb.debian.org/debian unstable/main arm64 node-vscode-jsonrpc all 8.2.0~next.0~1.0.0~git20230424.1320922-3 [32.7 kB]
Get: 648 http://deb.debian.org/debian unstable/main arm64 node-vscode-languageserver-types all 3.17.4~next.0~1.0.0~git20230424.1320922-3 [32.4 kB]
Get: 649 http://deb.debian.org/debian unstable/main arm64 node-vscode-languageserver-protocol all 3.17.4~next.0~1.0.0~git20230424.1320922-3 [47.5 kB]
Get: 650 http://deb.debian.org/debian unstable/main arm64 node-webpack-merge all 5.8.0+~2.0.0-1 [17.5 kB]
Get: 651 http://deb.debian.org/debian unstable/main arm64 node-worker-loader all 3.0.8-5 [12.9 kB]
Get: 652 http://deb.debian.org/debian unstable/main arm64 node-xterm all 5.3.0-2 [606 kB]
Get: 653 http://deb.debian.org/debian unstable/main arm64 node-lib0 all 0.2.93-1 [197 kB]
Get: 654 http://deb.debian.org/debian unstable/main arm64 node-yjs all 13.6.8-1 [149 kB]
Get: 655 http://deb.debian.org/debian unstable/main arm64 node-y-protocols all 1.0.6-1 [153 kB]
Get: 656 http://deb.debian.org/debian unstable/main arm64 node-jupyterlab all 4.0.10+ds1+~cs11.25.27-1 [16.6 MB]
Get: 657 http://deb.debian.org/debian unstable/main arm64 node-jupyter-widgets-base all 6.0.7+~cs14.24.95-2 [28.1 kB]
Get: 658 http://deb.debian.org/debian unstable/main arm64 python3-more-itertools all 10.2.0-1 [59.9 kB]
Get: 659 http://deb.debian.org/debian unstable/main arm64 python3-zipp all 1.0.0-6 [6696 B]
Get: 660 http://deb.debian.org/debian unstable/main arm64 python3-importlib-metadata all 4.12.0-1 [24.9 kB]
Get: 661 http://deb.debian.org/debian unstable/main arm64 python3-pyproject-hooks all 1.0.0-2 [10.6 kB]
Get: 662 http://deb.debian.org/debian unstable/main arm64 python3-toml all 0.10.2-1 [16.2 kB]
Get: 663 http://deb.debian.org/debian unstable/main arm64 python3-wheel all 0.43.0-1 [52.5 kB]
Get: 664 http://deb.debian.org/debian unstable/main arm64 python3-build all 1.2.1-1 [34.1 kB]
Get: 665 http://deb.debian.org/debian unstable/main arm64 python3-installer all 0.7.0+dfsg1-3 [18.6 kB]
Get: 666 http://deb.debian.org/debian unstable/main arm64 pybuild-plugin-pyproject all 6.20240422 [11.1 kB]
Get: 667 http://deb.debian.org/debian unstable/main arm64 python-matplotlib-data all 3.6.3-2 [2744 kB]
Get: 668 http://deb.debian.org/debian unstable/main arm64 python3.12 arm64 3.12.3-1 [659 kB]
Get: 669 http://deb.debian.org/debian unstable/main arm64 python3-all arm64 3.11.8-1 [1056 B]
Get: 670 http://deb.debian.org/debian unstable/main arm64 python3-appdirs all 1.4.4-4 [12.5 kB]
Get: 671 http://deb.debian.org/debian unstable/main arm64 python3-numpy arm64 1:1.26.4+ds-10 [4221 kB]
Get: 672 http://deb.debian.org/debian unstable/main arm64 python3-decorator all 5.1.1-5 [15.1 kB]
Get: 673 http://deb.debian.org/debian unstable/main arm64 python3-scipy arm64 1.11.4-10 [17.5 MB]
Get: 674 http://deb.debian.org/debian unstable/main arm64 python3-spglib arm64 2.4.0-1 [51.5 kB]
Get: 675 http://deb.debian.org/debian unstable/main arm64 python3-six all 1.16.0-6 [16.3 kB]
Get: 676 http://deb.debian.org/debian unstable/main arm64 python3-dateutil all 2.9.0-2 [79.4 kB]
Get: 677 http://deb.debian.org/debian unstable/main arm64 python3-pil arm64 10.3.0-2 [552 kB]
Get: 678 http://deb.debian.org/debian unstable/main arm64 python3-tk arm64 3.12.3-3.1 [113 kB]
Get: 679 http://deb.debian.org/debian unstable/main arm64 python3-pil.imagetk arm64 10.3.0-2 [80.0 kB]
Get: 680 http://deb.debian.org/debian unstable/main arm64 python3-pyparsing all 3.1.2-1 [146 kB]
Get: 681 http://deb.debian.org/debian unstable/main arm64 python3-contourpy arm64 1.0.7-3 [247 kB]
Get: 682 http://deb.debian.org/debian unstable/main arm64 python3-cycler all 0.12.1-1 [9496 B]
Get: 683 http://deb.debian.org/debian unstable/main arm64 python3-brotli arm64 1.1.0-2+b3 [316 kB]
Get: 684 http://deb.debian.org/debian unstable/main arm64 python3-attr all 23.2.0-2 [65.5 kB]
Get: 685 http://deb.debian.org/debian unstable/main arm64 python3-ufolib2 all 0.16.0+dfsg1-1 [32.9 kB]
Get: 686 http://deb.debian.org/debian unstable/main arm64 python3-mpmath all 1.3.0-1 [419 kB]
Get: 687 http://deb.debian.org/debian unstable/main arm64 python3-sympy all 1.12-8 [3869 kB]
Get: 688 http://deb.debian.org/debian unstable/main arm64 python3-tz all 2024.1-2 [30.9 kB]
Get: 689 http://deb.debian.org/debian unstable/main arm64 python3-fs all 2.4.16-4 [95.4 kB]
Get: 690 http://deb.debian.org/debian unstable/main arm64 python3-lxml arm64 5.2.1-1 [1767 kB]
Get: 691 http://deb.debian.org/debian unstable/main arm64 python3-lz4 arm64 4.0.2+dfsg-1+b3 [26.6 kB]
Get: 692 http://deb.debian.org/debian unstable/main arm64 unicode-data all 15.1.0-1 [8547 kB]
Get: 693 http://deb.debian.org/debian unstable/main arm64 python3-fonttools arm64 4.46.0-1 [1510 kB]
Get: 694 http://deb.debian.org/debian unstable/main arm64 python3-kiwisolver arm64 1.4.5-1 [75.0 kB]
Get: 695 http://deb.debian.org/debian unstable/main arm64 python3-matplotlib arm64 3.6.3-2 [7978 kB]
Get: 696 http://deb.debian.org/debian unstable/main arm64 python3-ase all 3.22.1-5 [1354 kB]
Get: 697 http://deb.debian.org/debian unstable/main arm64 python3-asttokens all 2.4.1-1 [20.6 kB]
Get: 698 http://deb.debian.org/debian unstable/main arm64 python3-bytecode all 0.15.1-3 [41.5 kB]
Get: 699 http://deb.debian.org/debian unstable/main arm64 python3-cffi-backend arm64 1.16.0-2+b2 [109 kB]
Get: 700 http://deb.debian.org/debian unstable/main arm64 python3-colorama all 0.4.6-4 [36.2 kB]
Get: 701 http://deb.debian.org/debian unstable/main arm64 python3-click all 8.1.7-1 [94.0 kB]
Get: 702 http://deb.debian.org/debian unstable/main arm64 python3-cloudpickle all 3.0.0-2 [25.4 kB]
Get: 703 http://deb.debian.org/debian unstable/main arm64 python3-traitlets all 5.14.3-1 [70.7 kB]
Get: 704 http://deb.debian.org/debian unstable/main arm64 python3-comm all 0.2.1-1 [8104 B]
Get: 705 http://deb.debian.org/debian unstable/main arm64 python3-coverage arm64 7.2.7+dfsg1-1+b1 [170 kB]
Get: 706 http://deb.debian.org/debian unstable/main arm64 python3-toolz all 0.12.1-1 [43.9 kB]
Get: 707 http://deb.debian.org/debian unstable/main arm64 python3-cytoolz arm64 0.12.2-2 [396 kB]
Get: 708 http://deb.debian.org/debian unstable/main arm64 python3-fsspec all 2024.5.0-1 [199 kB]
Get: 709 http://deb.debian.org/debian unstable/main arm64 python3-locket all 1.0.0-2 [5820 B]
Get: 710 http://deb.debian.org/debian unstable/main arm64 python3-partd all 1.4.1-1 [15.2 kB]
Get: 711 http://deb.debian.org/debian unstable/main arm64 python3-yaml arm64 6.0.1-2 [153 kB]
Get: 712 http://deb.debian.org/debian unstable/main arm64 python3-dask all 2024.1.1+dfsg-1 [930 kB]
Get: 713 http://deb.debian.org/debian unstable/main arm64 python3-pydevd arm64 2.10.0+ds-10 [565 kB]
Get: 714 http://deb.debian.org/debian unstable/main arm64 python3-debugpy all 1.8.0+ds-4 [66.7 kB]
Get: 715 http://deb.debian.org/debian unstable/main arm64 python3-markupsafe arm64 2.1.5-1 [14.6 kB]
Get: 716 http://deb.debian.org/debian unstable/main arm64 python3-jinja2 all 3.1.3-1 [119 kB]
Get: 717 http://deb.debian.org/debian unstable/main arm64 python3-msgpack arm64 1.0.3-3+b1 [87.4 kB]
Get: 718 http://deb.debian.org/debian unstable/main arm64 python3-psutil arm64 5.9.8-2 [225 kB]
Get: 719 http://deb.debian.org/debian unstable/main arm64 python3-sortedcontainers all 2.4.0-2 [31.9 kB]
Get: 720 http://deb.debian.org/debian unstable/main arm64 python3-tblib all 3.0.0-4 [13.5 kB]
Get: 721 http://deb.debian.org/debian unstable/main arm64 python3-tornado arm64 6.4.0-2 [347 kB]
Get: 722 http://deb.debian.org/debian unstable/main arm64 python3-urllib3 all 1.26.18-2 [116 kB]
Get: 723 http://deb.debian.org/debian unstable/main arm64 python3-zict all 3.0.0-2 [29.7 kB]
Get: 724 http://deb.debian.org/debian unstable/main arm64 python3-distributed all 2023.12.1+ds-4 [1128 kB]
Get: 725 http://deb.debian.org/debian unstable/main arm64 python3-entrypoints all 0.4-2 [7184 B]
Get: 726 http://deb.debian.org/debian unstable/main arm64 python3-executing all 2.0.1-0.1 [22.7 kB]
Get: 727 http://deb.debian.org/debian unstable/main arm64 python3-h5py-serial arm64 3.10.0-1+b3 [1247 kB]
Get: 728 http://deb.debian.org/debian unstable/main arm64 python3-h5py all 3.10.0-1 [14.4 kB]
Get: 729 http://deb.debian.org/debian unstable/main arm64 python3-parso all 0.8.3-1 [67.4 kB]
Get: 730 http://deb.debian.org/debian unstable/main arm64 python3-typeshed all 0.0~git20231111.6764465-3 [1258 kB]
Get: 731 http://deb.debian.org/debian unstable/main arm64 python3-jedi all 0.19.1+ds1-1 [691 kB]
Get: 732 http://deb.debian.org/debian unstable/main arm64 python3-matplotlib-inline all 0.1.6-2 [8652 B]
Get: 733 http://deb.debian.org/debian unstable/main arm64 python3-ptyprocess all 0.7.0-5 [14.7 kB]
Get: 734 http://deb.debian.org/debian unstable/main arm64 python3-pexpect all 4.9-2 [55.5 kB]
Get: 735 http://deb.debian.org/debian unstable/main arm64 python3-wcwidth all 0.2.13+dfsg1-1 [24.9 kB]
Get: 736 http://deb.debian.org/debian unstable/main arm64 python3-prompt-toolkit all 3.0.43-2 [276 kB]
Get: 737 http://deb.debian.org/debian unstable/main arm64 python3-pygments all 2.17.2+dfsg-1 [818 kB]
Get: 738 http://deb.debian.org/debian unstable/main arm64 python3-pure-eval all 0.2.2-2 [11.0 kB]
Get: 739 http://deb.debian.org/debian unstable/main arm64 python3-stack-data all 0.6.3-1 [21.6 kB]
Get: 740 http://deb.debian.org/debian unstable/main arm64 python3-ipython all 8.20.0-1 [556 kB]
Get: 741 http://deb.debian.org/debian unstable/main arm64 python3-platformdirs all 4.2.1-1 [16.0 kB]
Get: 742 http://deb.debian.org/debian unstable/main arm64 python3-jupyter-core all 5.3.2-1 [31.5 kB]
Get: 743 http://deb.debian.org/debian unstable/main arm64 python3-nest-asyncio all 1.5.4-1 [6248 B]
Get: 744 http://deb.debian.org/debian unstable/main arm64 python3-py all 1.11.0-2 [88.7 kB]
Get: 745 http://deb.debian.org/debian unstable/main arm64 python3-zmq arm64 24.0.1-5+b1 [329 kB]
Get: 746 http://deb.debian.org/debian unstable/main arm64 python3-jupyter-client all 7.4.9-2 [103 kB]
Get: 747 http://deb.debian.org/debian unstable/main arm64 python3-ipykernel all 6.29.3-1 [102 kB]
Get: 748 http://deb.debian.org/debian unstable/main arm64 python3-ipywidgets all 8.1.2-3 [104 kB]
Get: 749 http://deb.debian.org/debian unstable/main arm64 python3-joblib all 1.3.2-2 [218 kB]
Get: 750 http://deb.debian.org/debian unstable/main arm64 python3-threadpoolctl all 3.1.0-1 [21.2 kB]
Get: 751 http://deb.debian.org/debian unstable/main arm64 python3-sklearn-lib arm64 1.4.2+dfsg-1 [5693 kB]
Get: 752 http://deb.debian.org/debian unstable/main arm64 python3-sklearn all 1.4.2+dfsg-1 [2247 kB]
Get: 753 http://deb.debian.org/debian unstable/main arm64 python3-sidpy all 0.12.3-2 [76.6 kB]
Fetched 221 MB in 1s (155 MB/s)
debconf: delaying package configuration, since apt-utils is not installed
Selecting previously unselected package sensible-utils.
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Moving old data out of the way
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Unpacking libdebuginfod-common (0.191-1) ...
Selecting previously unselected package libpython3.11-minimal:arm64.
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Unpacking libpython3.11-minimal:arm64 (3.11.9-1) ...
Selecting previously unselected package libexpat1:arm64.
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Unpacking libexpat1:arm64 (2.6.2-1) ...
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Setting up libpython3.11-minimal:arm64 (3.11.9-1) ...
Setting up libexpat1:arm64 (2.6.2-1) ...
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Unpacking python3-minimal (3.11.8-1) ...
Selecting previously unselected package media-types.
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Selecting previously unselected package libreadline8t64:arm64.
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Adding 'diversion of /lib/aarch64-linux-gnu/libhistory.so.8 to /lib/aarch64-linux-gnu/libhistory.so.8.usr-is-merged by libreadline8t64'
Adding 'diversion of /lib/aarch64-linux-gnu/libhistory.so.8.2 to /lib/aarch64-linux-gnu/libhistory.so.8.2.usr-is-merged by libreadline8t64'
Adding 'diversion of /lib/aarch64-linux-gnu/libreadline.so.8 to /lib/aarch64-linux-gnu/libreadline.so.8.usr-is-merged by libreadline8t64'
Adding 'diversion of /lib/aarch64-linux-gnu/libreadline.so.8.2 to /lib/aarch64-linux-gnu/libreadline.so.8.2.usr-is-merged by libreadline8t64'
Unpacking libreadline8t64:arm64 (8.2-4) ...
Selecting previously unselected package libpython3.11-stdlib:arm64.
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Setting up python3-minimal (3.11.8-1) ...
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Preparing to unpack .../000-python3_3.11.8-1_arm64.deb ...
Unpacking python3 (3.11.8-1) ...
Selecting previously unselected package libpython3.12-minimal:arm64.
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Unpacking libpython3.12-minimal:arm64 (3.12.3-1) ...
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Unpacking python3.12-minimal (3.12.3-1) ...
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Unpacking libmagic1t64:arm64 (1:5.45-3) ...
Selecting previously unselected package file.
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Unpacking file (1:5.45-3) ...
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Unpacking gettext-base (0.21-14+b1) ...
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Selecting previously unselected package libpng16-16t64:arm64.
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Selecting previously unselected package fonts-dejavu-mono.
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Unpacking fonts-dejavu-mono (2.37-8) ...
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Unpacking libxcb1:arm64 (1.17.0-2) ...
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Selecting previously unselected package libx11-6:arm64.
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Unpacking libx11-6:arm64 (2:1.8.7-1+b1) ...
Selecting previously unselected package libxrender1:arm64.
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Current default time zone: 'Etc/UTC'
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update-alternatives: using /usr/bin/babeljs-7 to provide /usr/bin/babeljs (babeljs) in auto mode
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update-alternatives: using /usr/bin/babeljs-7-node to provide /usr/bin/babeljs-node (babeljs-node) in auto mode
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Setting up python3-ipywidgets (8.1.2-3) ...
/usr/lib/python3/dist-packages/ipywidgets/widgets/tests/test_traits.py:61: SyntaxWarning: invalid escape sequence '\.'
  'var(--my-color-\.)', # CSS variable with escaped characters
Setting up python3-sidpy (0.12.3-2) ...
Processing triggers for libc-bin (2.38-11) ...
Processing triggers for ca-certificates (20240203) ...
Updating certificates in /etc/ssl/certs...
0 added, 0 removed; done.
Running hooks in /etc/ca-certificates/update.d...
done.
Reading package lists...
Building dependency tree...
Reading state information...
Reading extended state information...
Initializing package states...
Writing extended state information...
Building tag database...
 -> Finished parsing the build-deps
I: Building the package
I: Running cd /build/reproducible-path/pyusid-0.0.12/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-genchanges -S  > ../pyusid_0.0.12-2_source.changes
dpkg-buildpackage: info: source package pyusid
dpkg-buildpackage: info: source version 0.0.12-2
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 python3.12 with "build" module
I: pybuild base:311: python3.12 -m build --skip-dependency-check --no-isolation --wheel --outdir /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid  
* Building wheel...
running bdist_wheel
running build
running build_py
creating build
creating build/lib
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
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_3.12_pyusid/.tmp-ohs4to3k/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 python3.12 with "installer" module
I: pybuild plugin_pyproject:129: Building wheel for python3.11 with "build" module
I: pybuild base:311: python3.11 -m build --skip-dependency-check --no-isolation --wheel --outdir /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid  
* Building wheel...
running bdist_wheel
running build
running build_py
running 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
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_3.11_pyusid/.tmp-09t9ey5o/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 python3.11 with "installer" module
   dh_auto_test -O--buildsystem=pybuild
I: pybuild base:311: cd /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build; python3.12 -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) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/tests/io/hdf_utils/test_model.py:788: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  ret_2d, success = hdf_utils.reshape_from_n_dims(source_nd, h5_pos=source_pos_data, h5_spec=source_spec_data)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/tests/io/hdf_utils/test_model.py:799: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  ret_2d, success = hdf_utils.reshape_from_n_dims(main_pos_sorted, h5_pos=source_pos_data,
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/tests/io/hdf_utils/test_model.py:811: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  ret_2d, success = hdf_utils.reshape_from_n_dims(main_spec_sorted, h5_pos=source_pos_data,
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/tests/io/hdf_utils/test_model.py:823: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  ret_2d, success = hdf_utils.reshape_from_n_dims(main_not_sorted, h5_pos=source_pos_data,
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)
[216 117]
[[216]
 [117]]
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)
[173  79]
[[173  79]]
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)
[240  57]
[[240]
 [ 57]]
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)
[233   4]
[[233   4]]
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)
[223 180]
[[223]
 [180]]
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)
[139 196]
[[139 196]]
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]
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) ... 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)
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)
[ 23 119]
[[ 23]
 [119]]
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)
[88 26]
[[88 26]]
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)
[[131 129 197]
 [197 118  15]]
[[131]
 [129]
 [197]
 [197]
 [118]
 [ 15]]
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)
[[119 107 193]
 [141   2 201]]
[[119 107 193 141   2 201]]
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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:867: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, pos_dims, is_spectroscopic=False)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
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) ... 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)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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]]
ok
test_write_main_existing_pos_aux (tests.io.hdf_utils.test_model.TestWriteMainDataset.test_write_main_existing_pos_aux) ... ok
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_3.12_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) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/tests/io/hdf_utils/test_simple.py:1536: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  func((1, 25), [Dimension('a', 'b', 5),
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/tests/io/hdf_utils/test_simple.py:1540: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  func((25, 5), [Dimension('a', 'b', 5)],
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) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/tests/io/hdf_utils/test_simple.py:1553: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  func([-5, 1], Dimension('a', 'b', 5))
ok
test_multi_dims (tests.io.hdf_utils.test_simple.TestValidateDimsAgainstMAin.test_multi_dims) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/tests/io/hdf_utils/test_simple.py:1526: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  func((1, 15), [Dimension('a', 'b', 5),
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/tests/io/hdf_utils/test_simple.py:1529: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  func((15, 5), [Dimension('a', 'b', 5),
ok
test_single_dim (tests.io.hdf_utils.test_simple.TestValidateDimsAgainstMAin.test_single_dim) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/tests/io/hdf_utils/test_simple.py:1519: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  func((1, 5), Dimension('blah', 'meh', np.arange(5)),
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/tests/io/hdf_utils/test_simple.py:1521: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  func((5, 1), [Dimension('blah', 'meh', np.arange(5))],
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_3.12_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_3.12_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 '
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/pyUSID/io/array_translator.py:93: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(raw_data.shape, dimensions, dim_name == 'Spectroscopic')
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:867: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, pos_dims, is_spectroscopic=False)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
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_3.12_pyusid/build/pyUSID/io/array_translator.py:93: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(raw_data.shape, dimensions, dim_name == 'Spectroscopic')
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:867: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, pos_dims, is_spectroscopic=False)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
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_3.12_pyusid/build/pyUSID/io/array_translator.py:93: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(raw_data.shape, dimensions, dim_name == 'Spectroscopic')
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:867: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, pos_dims, is_spectroscopic=False)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
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_equality (tests.io.test_dimension.TestDimension.test_equality) ... ok
test_illegal_instantiation (tests.io.test_dimension.TestDimension.test_illegal_instantiation) ... ok
test_inequality (tests.io.test_dimension.TestDimension.test_inequality) ... 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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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) ... [[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
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
25 25
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!
ok
test_compute (tests.processing.test_process.TestCoreProcessWDuplicateResultsOverride.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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'
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 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 45.03 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: 45.03 GB. 10 workers on this socket will in total read ~ 6.56 kB.
Rank: 0 - with only raw data loaded has 45.03 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 45.03 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: 45.03 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 45.03 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: 45.03 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 45.03 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
ok
test_compute (tests.processing.test_process.TestProcReturnCompletedNotPartial.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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_3.12_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.12_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_3.12_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 359 tests in 10.515s

OK

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

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
I: pybuild base:311: cd /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build; python3.11 -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) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/tests/io/hdf_utils/test_model.py:788: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  ret_2d, success = hdf_utils.reshape_from_n_dims(source_nd, h5_pos=source_pos_data, h5_spec=source_spec_data)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/tests/io/hdf_utils/test_model.py:799: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  ret_2d, success = hdf_utils.reshape_from_n_dims(main_pos_sorted, h5_pos=source_pos_data,
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/tests/io/hdf_utils/test_model.py:811: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  ret_2d, success = hdf_utils.reshape_from_n_dims(main_spec_sorted, h5_pos=source_pos_data,
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/tests/io/hdf_utils/test_model.py:823: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  ret_2d, success = hdf_utils.reshape_from_n_dims(main_not_sorted, h5_pos=source_pos_data,
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)
[10 66]
[[10]
 [66]]
Position dimensions: ['Position Dimension 0']
Position sort order: [0]
Spectroscopic Dimensions: ['Spectral Dimension 0']
Spectroscopic sort order: [0]

Position dimensions (sort applied): ['Position Dimension 0']
Position dimensionality (sort applied): [2]
Spectroscopic dimensions (sort applied): ['Spectral Dimension 0']
Spectroscopic dimensionality (sort applied): [1]
Will attempt to reshape main dataset from:
(2, 1) to [2, 1]

After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0']
Data shape is (2, 1)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Position dimensions: ['Position Dimension 0']
Position sort order: [0]
Spectroscopic Dimensions: ['Spectral Dimension 0']
Spectroscopic sort order: [0]

Position dimensions (sort applied): ['Position Dimension 0']
Position dimensionality (sort applied): [2]
Spectroscopic dimensions (sort applied): ['Spectral Dimension 0']
Spectroscopic dimensionality (sort applied): [1]
Will attempt to reshape main dataset from:
(2, 1) to [2, 1]

After reshaping, labels are ['Position Dimension 0' 'Spectral Dimension 0']
Data shape is (2, 1)

Going to put dimensions back in the same order as in the file:
Axes will permuted in this order: [0 1]
New labels ordering: ['Position Dimension 0' 'Spectral Dimension 0']
Dataset now of shape: (2, 1)
2D: False, Spec: True, Flip: False
Main data shapes ND: (2,), 2D: (1, 2)
[190 135]
[[190 135]]
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)
[ 16 102]
[[ 16]
 [102]]
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)
[94 61]
[[94 61]]
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)
[146 250]
[[146]
 [250]]
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)
[180 175]
[[180 175]]
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]
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) ... 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)
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)
[247 215]
[[247]
 [215]]
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)
[ 25 252]
[[ 25 252]]
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)
[[230  42 159]
 [172 236 110]]
[[230]
 [ 42]
 [159]
 [172]
 [236]
 [110]]
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)
[[ 72 193  93]
 [192 132 187]]
[[ 72 193  93 192 132 187]]
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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:867: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, pos_dims, is_spectroscopic=False)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
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) ... 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)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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]]
ok
test_write_main_existing_pos_aux (tests.io.hdf_utils.test_model.TestWriteMainDataset.test_write_main_existing_pos_aux) ... ok
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_3.11_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) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/tests/io/hdf_utils/test_simple.py:1536: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  func((1, 25), [Dimension('a', 'b', 5),
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/tests/io/hdf_utils/test_simple.py:1540: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  func((25, 5), [Dimension('a', 'b', 5)],
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) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/tests/io/hdf_utils/test_simple.py:1553: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  func([-5, 1], Dimension('a', 'b', 5))
ok
test_multi_dims (tests.io.hdf_utils.test_simple.TestValidateDimsAgainstMAin.test_multi_dims) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/tests/io/hdf_utils/test_simple.py:1526: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  func((1, 15), [Dimension('a', 'b', 5),
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/tests/io/hdf_utils/test_simple.py:1529: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  func((15, 5), [Dimension('a', 'b', 5),
ok
test_single_dim (tests.io.hdf_utils.test_simple.TestValidateDimsAgainstMAin.test_single_dim) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/tests/io/hdf_utils/test_simple.py:1519: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  func((1, 5), Dimension('blah', 'meh', np.arange(5)),
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/tests/io/hdf_utils/test_simple.py:1521: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  func((5, 1), [Dimension('blah', 'meh', np.arange(5))],
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_3.11_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_3.11_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 '
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/pyUSID/io/array_translator.py:93: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(raw_data.shape, dimensions, dim_name == 'Spectroscopic')
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:867: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, pos_dims, is_spectroscopic=False)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
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_3.11_pyusid/build/pyUSID/io/array_translator.py:93: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(raw_data.shape, dimensions, dim_name == 'Spectroscopic')
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:867: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, pos_dims, is_spectroscopic=False)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
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_3.11_pyusid/build/pyUSID/io/array_translator.py:93: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(raw_data.shape, dimensions, dim_name == 'Spectroscopic')
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:867: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, pos_dims, is_spectroscopic=False)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
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_equality (tests.io.test_dimension.TestDimension.test_equality) ... ok
test_illegal_instantiation (tests.io.test_dimension.TestDimension.test_illegal_instantiation) ... ok
test_inequality (tests.io.test_dimension.TestDimension.test_inequality) ... 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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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) ... [[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
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
19 19
221 221
[[  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!
ok
test_compute (tests.processing.test_process.TestCoreProcessWDuplicateResultsOverride.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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'
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 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 44.22 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: 44.22 GB. 10 workers on this socket will in total read ~ 6.56 kB.
Rank: 0 - with only raw data loaded has 44.22 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 44.22 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: 44.22 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 44.22 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: 44.22 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 44.22 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
ok
test_compute (tests.processing.test_process.TestProcReturnCompletedNotPartial.test_compute) ... /build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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_3.11_pyusid/build/pyUSID/io/hdf_utils/model.py:886: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
  validate_dims_against_main(main_shape, spec_dims, is_spectroscopic=True)
/build/reproducible-path/pyusid-0.0.12/.pybuild/cpython3_3.11_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_3.11_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 359 tests in 11.268s

OK

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

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 python3.12 to destdir
I: pybuild plugin_pyproject:178: Copying package built for python3.11 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_0.0.12-2_all.deb'.
 dpkg-genbuildinfo --build=binary -O../pyusid_0.0.12-2_arm64.buildinfo
 dpkg-genchanges --build=binary -O../pyusid_0.0.12-2_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/2680796 and its subdirectories
I: Current time: Fri May 31 08:25:17 -12 2024
I: pbuilder-time-stamp: 1717187117
Fri May 31 20:25:19 UTC 2024  I: 1st build successful. Starting 2nd build on remote node codethink04-arm64.debian.net.
Fri May 31 20:25:19 UTC 2024  I: Preparing to do remote build '2' on codethink04-arm64.debian.net.
Fri May 31 20:30:43 UTC 2024  I: Deleting $TMPDIR on codethink04-arm64.debian.net.
Fri May 31 20:30:43 UTC 2024  I: pyusid_0.0.12-2_arm64.changes:
Format: 1.8
Date: Sun, 12 May 2024 15:10:46 +0200
Source: pyusid
Binary: python3-pyusid
Architecture: all
Version: 0.0.12-2
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: 1070675
Changes:
 pyusid (0.0.12-2) unstable; urgency=medium
 .
   * Bug fix: "pyusid generate an extraneous dependency on python3-six",
     thanks to Alexandre Detiste (Closes: #1070675).
Checksums-Sha1:
 24e960fbb4479137a3301f78b2b5f169d4a6e06c 54056 python3-pyusid_0.0.12-2_all.deb
 6b99ac059c86db4a03dcc2ec21cf01b21e602d58 31189 pyusid_0.0.12-2_arm64.buildinfo
Checksums-Sha256:
 f9c80e8a01332d6627020ae863f1d8f1dd8113da98e27d286eaae900f9bb2c87 54056 python3-pyusid_0.0.12-2_all.deb
 9bd24c26493f382aa9219083864c84ddeb124eebddbe03efe4552443fd4fafe3 31189 pyusid_0.0.12-2_arm64.buildinfo
Files:
 27bf40c9152d7e68aa037fde5ac13f0e 54056 python optional python3-pyusid_0.0.12-2_all.deb
 40c34d5fc29123a03e8f55b1df4aeb4d 31189 python optional pyusid_0.0.12-2_arm64.buildinfo
Fri May 31 20:30:45 UTC 2024  I: diffoscope 268 will be used to compare the two builds:
Running as unit: rb-diffoscope-arm64_8-13972.service
# Profiling output for: /usr/bin/diffoscope --timeout 7200 --html /srv/reproducible-results/rbuild-debian/r-b-build.fR1cMDmI/pyusid_0.0.12-2.diffoscope.html --text /srv/reproducible-results/rbuild-debian/r-b-build.fR1cMDmI/pyusid_0.0.12-2.diffoscope.txt --json /srv/reproducible-results/rbuild-debian/r-b-build.fR1cMDmI/pyusid_0.0.12-2.diffoscope.json --profile=- /srv/reproducible-results/rbuild-debian/r-b-build.fR1cMDmI/b1/pyusid_0.0.12-2_arm64.changes /srv/reproducible-results/rbuild-debian/r-b-build.fR1cMDmI/b2/pyusid_0.0.12-2_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     abc.DotChangesFile

## main (total time: 0.369s)
       0.369s      2 calls    outputs
       0.000s      1 call     cleanup

## recognizes (total time: 0.016s)
       0.016s     12 calls    diffoscope.comparators.binary.FilesystemFile

## specialize (total time: 0.000s)
       0.000s      1 call     specialize
Finished with result: success
Main processes terminated with: code=exited/status=0
Service runtime: 708ms
CPU time consumed: 708ms
Fri May 31 20:30:46 UTC 2024  I: diffoscope 268 found no differences in the changes files, and a .buildinfo file also exists.
Fri May 31 20:30:46 UTC 2024  I: pyusid from unstable built successfully and reproducibly on arm64.
Fri May 31 20:30:47 UTC 2024  I: Submitting .buildinfo files to external archives:
Fri May 31 20:30:47 UTC 2024  I: Submitting 32K	b1/pyusid_0.0.12-2_arm64.buildinfo.asc
Fri May 31 20:30:48 UTC 2024  I: Submitting 32K	b2/pyusid_0.0.12-2_arm64.buildinfo.asc
Fri May 31 20:30:49 UTC 2024  I: Done submitting .buildinfo files to http://buildinfo.debian.net/api/submit.
Fri May 31 20:30:49 UTC 2024  I: Done submitting .buildinfo files.
Fri May 31 20:30:49 UTC 2024  I: Removing signed pyusid_0.0.12-2_arm64.buildinfo.asc files:
removed './b1/pyusid_0.0.12-2_arm64.buildinfo.asc'
removed './b2/pyusid_0.0.12-2_arm64.buildinfo.asc'