Build log for hyperspy (1.7.3-1) on armhf

hyperspy → 1.7.3-1 → armhf → 2024-01-06 22:22:26

sbuild (Debian sbuild) 0.85.0 (04 January 2023) on test2023

+==============================================================================+
| hyperspy 1.7.3-1 (armhf)                     Sat, 06 Jan 2024 22:10:45 +0000 |
+==============================================================================+

Package: hyperspy
Version: 1.7.3-1
Source Version: 1.7.3-1
Distribution: trixie-staging
Machine Architecture: arm64
Host Architecture: armhf
Build Architecture: armhf
Build Type: any

I: NOTICE: Log filtering will replace 'var/run/schroot/mount/trixie-staging-armhf-sbuild-a47d13d1-7fcc-424d-b5f3-bdea6811c5ac' with '<<CHROOT>>'
I: NOTICE: Log filtering will replace 'build/hyperspy-RDJw5i/resolver-JiXZc6' with '<<RESOLVERDIR>>'

+------------------------------------------------------------------------------+
| Update chroot                                                                |
+------------------------------------------------------------------------------+

Get:1 http://172.17.4.1/private trixie-staging InRelease [11.3 kB]
Get:2 http://172.17.4.1/private trixie-staging/main Sources [14.3 MB]
Get:3 http://172.17.4.1/private trixie-staging/main armhf Packages [15.0 MB]
Fetched 29.3 MB in 5s (5563 kB/s)
Reading package lists...
W: http://172.17.4.1/private/dists/trixie-staging/InRelease: Key is stored in legacy trusted.gpg keyring (/etc/apt/trusted.gpg), see the DEPRECATION section in apt-key(8) for details.

+------------------------------------------------------------------------------+
| Fetch source files                                                           |
+------------------------------------------------------------------------------+


Check APT
---------

Checking available source versions...

Download source files with APT
------------------------------

Reading package lists...
NOTICE: 'hyperspy' packaging is maintained in the 'Git' version control system at:
https://salsa.debian.org/science-team/hyperspy.git
Please use:
git clone https://salsa.debian.org/science-team/hyperspy.git
to retrieve the latest (possibly unreleased) updates to the package.
Need to get 46.3 MB of source archives.
Get:1 http://172.17.4.1/private trixie-staging/main hyperspy 1.7.3-1 (dsc) [2739 B]
Get:2 http://172.17.4.1/private trixie-staging/main hyperspy 1.7.3-1 (tar) [46.3 MB]
Get:3 http://172.17.4.1/private trixie-staging/main hyperspy 1.7.3-1 (diff) [3960 B]
Fetched 46.3 MB in 5s (8701 kB/s)
Download complete and in download only mode
I: NOTICE: Log filtering will replace 'build/hyperspy-RDJw5i/hyperspy-1.7.3' with '<<PKGBUILDDIR>>'
I: NOTICE: Log filtering will replace 'build/hyperspy-RDJw5i' with '<<BUILDDIR>>'

+------------------------------------------------------------------------------+
| Install package build dependencies                                           |
+------------------------------------------------------------------------------+


Setup apt archive
-----------------

Merged Build-Depends: debhelper (>= 12), dh-python, python3-all, python3-dev, python3-dask, python3-dateutil, python3-dill, python3-h5py, python3-imageio, python3-importlib-metadata, python3-ipython, python3-matplotlib, python3-mock, python3-natsort, python3-numba, python3-numexpr, python3-numpy, python3-pint, python3-ptable, python3-pytest, python3-pytest-instafail, python3-pytest-mpl, python3-pytest-rerunfailures, python3-pytest-runner, python3-pytest-xdist, python3-yaml, python3-requests, python3-scipy, python3-setuptools, python3-skimage, python3-sklearn, python3-sparse, python3-statsmodels, python3-sympy, python3-tqdm, python3-traits, python3-traitsui, build-essential, fakeroot
Filtered Build-Depends: debhelper (>= 12), dh-python, python3-all, python3-dev, python3-dask, python3-dateutil, python3-dill, python3-h5py, python3-imageio, python3-importlib-metadata, python3-ipython, python3-matplotlib, python3-mock, python3-natsort, python3-numba, python3-numexpr, python3-numpy, python3-pint, python3-ptable, python3-pytest, python3-pytest-instafail, python3-pytest-mpl, python3-pytest-rerunfailures, python3-pytest-runner, python3-pytest-xdist, python3-yaml, python3-requests, python3-scipy, python3-setuptools, python3-skimage, python3-sklearn, python3-sparse, python3-statsmodels, python3-sympy, python3-tqdm, python3-traits, python3-traitsui, build-essential, fakeroot
dpkg-deb: building package 'sbuild-build-depends-main-dummy' in '/<<RESOLVERDIR>>/apt_archive/sbuild-build-depends-main-dummy.deb'.
Ign:1 copy:/<<RESOLVERDIR>>/apt_archive ./ InRelease
Get:2 copy:/<<RESOLVERDIR>>/apt_archive ./ Release [615 B]
Ign:3 copy:/<<RESOLVERDIR>>/apt_archive ./ Release.gpg
Get:4 copy:/<<RESOLVERDIR>>/apt_archive ./ Sources [1236 B]
Get:5 copy:/<<RESOLVERDIR>>/apt_archive ./ Packages [1269 B]
Fetched 3120 B in 0s (0 B/s)
Reading package lists...
Reading package lists...

Install main build dependencies (apt-based resolver)
----------------------------------------------------

Installing build dependencies
Reading package lists...
Building dependency tree...
Reading state information...
The following additional packages will be installed:
  autoconf automake autopoint autotools-dev blt bsdextrautils ca-certificates
  debhelper dh-autoreconf dh-python dh-strip-nondeterminism dwz file
  fontconfig fontconfig-config fonts-dejavu-core fonts-dejavu-mono
  fonts-glyphicons-halflings fonts-lyx gettext gettext-base groff-base
  intltool-debian iso-codes javascript-common libaec0 libarchive-zip-perl
  libavahi-client3 libavahi-common-data libavahi-common3 libblas3 libbrotli1
  libbsd0 libcap2-bin libcups2 libcurl4 libdbus-1-3 libdebhelper-perl
  libdeflate0 libdouble-conversion3 libdrm-common libdrm2 libdw1 libedit2
  libegl-mesa0 libegl1 libelf1 libevdev2 libexpat1 libexpat1-dev
  libfile-stripnondeterminism-perl libfontconfig1 libfreetype6 libfribidi0
  libgbm1 libgfortran5 libglapi-mesa libgles2 libglib2.0-0 libglvnd0
  libgraphite2-3 libgstreamer-plugins-base1.0-0 libgstreamer1.0-0
  libgudev-1.0-0 libharfbuzz0b libhdf5-103-1 libhdf5-hl-100 libhyphen0 libice6
  libicu72 libimagequant0 libinput-bin libinput10 libjbig0 libjpeg62-turbo
  libjs-bootstrap libjs-bootstrap4 libjs-jquery libjs-jquery-ui
  libjs-popper.js libjs-sphinxdoc libjs-underscore liblapack3 liblbfgsb0
  liblcms2-2 liblerc4 libllvm14 liblzf1 libmagic-mgc libmagic1 libmd4c0
  libmtdev1 libnghttp2-14 libopenjp2-7 liborc-0.4-0 libpcre2-16-0 libpfm4
  libpipeline1 libpng16-16 libproc2-0 libpsl5 libpython3-dev libpython3-stdlib
  libpython3.11 libpython3.11-dev libpython3.11-minimal libpython3.11-stdlib
  libqhull-r8.0 libqt5core5a libqt5dbus5 libqt5designer5 libqt5gui5
  libqt5help5 libqt5network5 libqt5opengl5 libqt5positioning5
  libqt5printsupport5 libqt5qml5 libqt5qmlmodels5 libqt5quick5 libqt5sensors5
  libqt5sql5 libqt5svg5 libqt5test5 libqt5webchannel5 libqt5webkit5
  libqt5widgets5 libqt5xml5 libraqm0 librtmp1 libsharpyuv0 libsm6 libssh2-1
  libsub-override-perl libsz2 libtcl8.6 libtiff6 libtk8.6 libtool libuchardet0
  libunwind8 libwacom-common libwacom9 libwayland-client0 libwayland-server0
  libwebp7 libwebpdemux2 libwebpmux3 libwoff1 libx11-6 libx11-data libx11-xcb1
  libxau6 libxcb-dri2-0 libxcb-dri3-0 libxcb-icccm4 libxcb-image0
  libxcb-keysyms1 libxcb-present0 libxcb-randr0 libxcb-render-util0
  libxcb-render0 libxcb-shape0 libxcb-shm0 libxcb-sync1 libxcb-util1
  libxcb-xfixes0 libxcb-xinerama0 libxcb-xinput0 libxcb-xkb1 libxcb1 libxdmcp6
  libxext6 libxft2 libxkbcommon-x11-0 libxkbcommon0 libxml2 libxrender1
  libxshmfence1 libxslt1.1 libxss1 libyaml-0-2 libz3-4 llvm-14
  llvm-14-linker-tools llvm-14-runtime m4 man-db media-types netbase openssl
  po-debconf procps python-matplotlib-data python3 python3-all python3-appdirs
  python3-asttokens python3-attr python3-backcall python3-brotli
  python3-certifi python3-chardet python3-charset-normalizer python3-click
  python3-cloudpickle python3-colorama python3-contourpy python3-cycler
  python3-dask python3-dateutil python3-decorator python3-dev python3-dill
  python3-distutils python3-execnet python3-executing python3-fonttools
  python3-fs python3-fsspec python3-h5py python3-h5py-serial python3-idna
  python3-imageio python3-importlib-metadata python3-iniconfig python3-ipython
  python3-jedi python3-jinja2 python3-joblib python3-kiwisolver
  python3-lazy-loader python3-lib2to3 python3-llvmlite python3-locket
  python3-lxml python3-lz4 python3-markupsafe python3-matplotlib
  python3-matplotlib-inline python3-minimal python3-mock
  python3-more-itertools python3-mpmath python3-natsort python3-networkx
  python3-nose python3-numba python3-numexpr python3-numpy python3-packaging
  python3-pandas python3-pandas-lib python3-parso python3-partd python3-patsy
  python3-pbr python3-pexpect python3-pickleshare python3-pil
  python3-pil.imagetk python3-pint python3-pkg-resources python3-pluggy
  python3-prompt-toolkit python3-ptable python3-ptyprocess python3-pure-eval
  python3-pyface python3-pygments python3-pyparsing python3-pyqt5
  python3-pyqt5.qtopengl python3-pyqt5.qtsvg python3-pyqt5.qtwebkit
  python3-pyqt5.sip python3-pytest python3-pytest-instafail python3-pytest-mpl
  python3-pytest-rerunfailures python3-pytest-runner python3-pytest-xdist
  python3-requests python3-scipy python3-setuptools python3-six
  python3-skimage python3-skimage-lib python3-sklearn python3-sklearn-lib
  python3-sparse python3-stack-data python3-statsmodels
  python3-statsmodels-lib python3-sympy python3-threadpoolctl python3-tifffile
  python3-tk python3-toolz python3-tqdm python3-traitlets python3-traits
  python3-traitsui python3-tz python3-ufolib2 python3-urllib3 python3-wcwidth
  python3-yaml python3-zipp python3-zombie-imp python3.11 python3.11-dev
  python3.11-minimal sensible-utils shared-mime-info tk8.6-blt2.5 unicode-data
  x11-common xkb-data zlib1g zlib1g-dev
Suggested packages:
  autoconf-archive gnu-standards autoconf-doc blt-demo dh-make flit
  python3-build python3-installer python3-wheel gettext-doc libasprintf-dev
  libgettextpo-dev groff isoquery apache2 | lighttpd | httpd cups-common
  low-memory-monitor libvisual-0.4-plugins gstreamer1.0-tools
  libjs-jquery-ui-docs liblcms2-utils libthai0 qgnomeplatform-qt5
  qt5-image-formats-plugins qt5-qmltooling-plugins tcl8.6 tk8.6 libtool-doc
  gfortran | fortran95-compiler gcj-jdk libwacom-bin llvm-14-doc m4-doc
  apparmor less www-browser libmail-box-perl python3-doc python3-venv
  python-attr-doc python-charset-normalizer-doc python-cycler-doc ipython
  python-dask-doc python3-blosc python3-boto python3-distributed
  python3-graphviz python3-psutil python3-sqlalchemy python3-tables
  python3-objgraph execnet-doc python-fsspec-doc python-h5py-doc
  python-imageio-doc python3-astropy python3-gdal ffmpeg python-ipython-doc
  python-jinja2-doc llvmlite-doc python-lxml-doc cm-super-minimal dvipng
  fonts-staypuft ghostscript gir1.2-gtk-3.0 inkscape ipython3 librsvg2-common
  python3-cairocffi python3-gi python3-gi-cairo python3-gobject python3-sip
  python3-tornado texlive-extra-utils texlive-latex-extra python-mock-doc
  python-mpmath-doc python3-gmpy2 python-natsort-doc python-nose-doc gfortran
  python-pandas-doc python-patsy-doc python-pexpect-doc python-pil-doc
  python-pygments-doc ttf-bitstream-vera python-pyparsing-doc
  python-pytest-instafail-doc python3-cryptography python3-openssl
  python3-socks python-requests-doc python-scipy-doc python-setuptools-doc
  python-skimage-doc python3-dap python-sklearn-doc python-statsmodels-doc
  texlive-fonts-extra python-sympy-doc tix python3-tk-dbg python-toolz-doc
  python3.11-venv python3.11-doc binfmt-support
Recommended packages:
  curl | wget | lynx libpam-cap dbus libarchive-cpio-perl libglib2.0-data
  xdg-user-dirs gstreamer1.0-plugins-base node-jquery publicsuffix
  qttranslations5-l10n qt5-gtk-platformtheme qtwayland5 geoclue-2.0 libgl1
  libglx-mesa0 libqt5sql5-sqlite | libqt5sql5-mysql | libqt5sql5-odbc
  | libqt5sql5-psql | libqt5sql5-tds | libqt5sql5-ibase libltdl-dev
  llvm-14-dev binfmt-support | systemd libmail-sendmail-perl psmisc git
  python3-distributed python3-dropbox python3-fusepy python3-libarchive-c
  python3-paramiko python3-pygit2 python3-babel python3-simplejson
  python3-psutil python3-bs4 python3-html5lib python3-gdal python3-pydot
  python3-pygraphviz numba-doc python3-pip python3-bottleneck python3-odf
  python3-openpyxl python3-tables python3-blosc python3-zmq python3-olefile
  python3-cvxopt isympy-common
The following NEW packages will be installed:
  autoconf automake autopoint autotools-dev blt bsdextrautils ca-certificates
  debhelper dh-autoreconf dh-python dh-strip-nondeterminism dwz file
  fontconfig fontconfig-config fonts-dejavu-core fonts-dejavu-mono
  fonts-glyphicons-halflings fonts-lyx gettext gettext-base groff-base
  intltool-debian iso-codes javascript-common libaec0 libarchive-zip-perl
  libavahi-client3 libavahi-common-data libavahi-common3 libblas3 libbrotli1
  libbsd0 libcap2-bin libcups2 libcurl4 libdbus-1-3 libdebhelper-perl
  libdeflate0 libdouble-conversion3 libdrm-common libdrm2 libdw1 libedit2
  libegl-mesa0 libegl1 libelf1 libevdev2 libexpat1 libexpat1-dev
  libfile-stripnondeterminism-perl libfontconfig1 libfreetype6 libfribidi0
  libgbm1 libgfortran5 libglapi-mesa libgles2 libglib2.0-0 libglvnd0
  libgraphite2-3 libgstreamer-plugins-base1.0-0 libgstreamer1.0-0
  libgudev-1.0-0 libharfbuzz0b libhdf5-103-1 libhdf5-hl-100 libhyphen0 libice6
  libicu72 libimagequant0 libinput-bin libinput10 libjbig0 libjpeg62-turbo
  libjs-bootstrap libjs-bootstrap4 libjs-jquery libjs-jquery-ui
  libjs-popper.js libjs-sphinxdoc libjs-underscore liblapack3 liblbfgsb0
  liblcms2-2 liblerc4 libllvm14 liblzf1 libmagic-mgc libmagic1 libmd4c0
  libmtdev1 libnghttp2-14 libopenjp2-7 liborc-0.4-0 libpcre2-16-0 libpfm4
  libpipeline1 libpng16-16 libproc2-0 libpsl5 libpython3-dev libpython3-stdlib
  libpython3.11 libpython3.11-dev libpython3.11-minimal libpython3.11-stdlib
  libqhull-r8.0 libqt5core5a libqt5dbus5 libqt5designer5 libqt5gui5
  libqt5help5 libqt5network5 libqt5opengl5 libqt5positioning5
  libqt5printsupport5 libqt5qml5 libqt5qmlmodels5 libqt5quick5 libqt5sensors5
  libqt5sql5 libqt5svg5 libqt5test5 libqt5webchannel5 libqt5webkit5
  libqt5widgets5 libqt5xml5 libraqm0 librtmp1 libsharpyuv0 libsm6 libssh2-1
  libsub-override-perl libsz2 libtcl8.6 libtiff6 libtk8.6 libtool libuchardet0
  libunwind8 libwacom-common libwacom9 libwayland-client0 libwayland-server0
  libwebp7 libwebpdemux2 libwebpmux3 libwoff1 libx11-6 libx11-data libx11-xcb1
  libxau6 libxcb-dri2-0 libxcb-dri3-0 libxcb-icccm4 libxcb-image0
  libxcb-keysyms1 libxcb-present0 libxcb-randr0 libxcb-render-util0
  libxcb-render0 libxcb-shape0 libxcb-shm0 libxcb-sync1 libxcb-util1
  libxcb-xfixes0 libxcb-xinerama0 libxcb-xinput0 libxcb-xkb1 libxcb1 libxdmcp6
  libxext6 libxft2 libxkbcommon-x11-0 libxkbcommon0 libxml2 libxrender1
  libxshmfence1 libxslt1.1 libxss1 libyaml-0-2 libz3-4 llvm-14
  llvm-14-linker-tools llvm-14-runtime m4 man-db media-types netbase openssl
  po-debconf procps python-matplotlib-data python3 python3-all python3-appdirs
  python3-asttokens python3-attr python3-backcall python3-brotli
  python3-certifi python3-chardet python3-charset-normalizer python3-click
  python3-cloudpickle python3-colorama python3-contourpy python3-cycler
  python3-dask python3-dateutil python3-decorator python3-dev python3-dill
  python3-distutils python3-execnet python3-executing python3-fonttools
  python3-fs python3-fsspec python3-h5py python3-h5py-serial python3-idna
  python3-imageio python3-importlib-metadata python3-iniconfig python3-ipython
  python3-jedi python3-jinja2 python3-joblib python3-kiwisolver
  python3-lazy-loader python3-lib2to3 python3-llvmlite python3-locket
  python3-lxml python3-lz4 python3-markupsafe python3-matplotlib
  python3-matplotlib-inline python3-minimal python3-mock
  python3-more-itertools python3-mpmath python3-natsort python3-networkx
  python3-nose python3-numba python3-numexpr python3-numpy python3-packaging
  python3-pandas python3-pandas-lib python3-parso python3-partd python3-patsy
  python3-pbr python3-pexpect python3-pickleshare python3-pil
  python3-pil.imagetk python3-pint python3-pkg-resources python3-pluggy
  python3-prompt-toolkit python3-ptable python3-ptyprocess python3-pure-eval
  python3-pyface python3-pygments python3-pyparsing python3-pyqt5
  python3-pyqt5.qtopengl python3-pyqt5.qtsvg python3-pyqt5.qtwebkit
  python3-pyqt5.sip python3-pytest python3-pytest-instafail python3-pytest-mpl
  python3-pytest-rerunfailures python3-pytest-runner python3-pytest-xdist
  python3-requests python3-scipy python3-setuptools python3-six
  python3-skimage python3-skimage-lib python3-sklearn python3-sklearn-lib
  python3-sparse python3-stack-data python3-statsmodels
  python3-statsmodels-lib python3-sympy python3-threadpoolctl python3-tifffile
  python3-tk python3-toolz python3-tqdm python3-traitlets python3-traits
  python3-traitsui python3-tz python3-ufolib2 python3-urllib3 python3-wcwidth
  python3-yaml python3-zipp python3-zombie-imp python3.11 python3.11-dev
  python3.11-minimal sbuild-build-depends-main-dummy sensible-utils
  shared-mime-info tk8.6-blt2.5 unicode-data x11-common xkb-data zlib1g-dev
The following packages will be upgraded:
  zlib1g
1 upgraded, 321 newly installed, 0 to remove and 12 not upgraded.
Need to get 227 MB of archives.
After this operation, 915 MB of additional disk space will be used.
Get:1 copy:/<<RESOLVERDIR>>/apt_archive ./ sbuild-build-depends-main-dummy 0.invalid.0 [1064 B]
Get:2 http://172.17.4.1/private trixie-staging/main armhf libglvnd0 armhf 1.7.0-1 [49.4 kB]
Get:3 http://172.17.4.1/private trixie-staging/main armhf libdrm-common all 2.4.117-1+rpi1 [7468 B]
Get:4 http://172.17.4.1/private trixie-staging/main armhf libdrm2 armhf 2.4.117-1+rpi1 [33.3 kB]
Get:5 http://172.17.4.1/private trixie-staging/main armhf libexpat1 armhf 2.5.0-2 [76.8 kB]
Get:6 http://172.17.4.1/private trixie-staging/main armhf libwayland-server0 armhf 1.22.0-2.1 [26.0 kB]
Get:7 http://172.17.4.1/private trixie-staging/main armhf libxau6 armhf 1:1.0.9-1 [19.1 kB]
Get:8 http://172.17.4.1/private trixie-staging/main armhf libbsd0 armhf 0.11.7-4 [111 kB]
Get:9 http://172.17.4.1/private trixie-staging/main armhf libxdmcp6 armhf 1:1.1.2-3 [25.0 kB]
Get:10 http://172.17.4.1/private trixie-staging/main armhf libxcb1 armhf 1.15-1 [139 kB]
Get:11 http://172.17.4.1/private trixie-staging/main armhf libxcb-randr0 armhf 1.15-1 [116 kB]
Get:12 http://172.17.4.1/private trixie-staging/main armhf libgbm1 armhf 23.1.7-1+rpi1 [35.1 kB]
Get:13 http://172.17.4.1/private trixie-staging/main armhf libglapi-mesa armhf 23.1.7-1+rpi1 [46.1 kB]
Get:14 http://172.17.4.1/private trixie-staging/main armhf libwayland-client0 armhf 1.22.0-2.1 [20.0 kB]
Get:15 http://172.17.4.1/private trixie-staging/main armhf libx11-data all 2:1.8.7-1 [328 kB]
Get:16 http://172.17.4.1/private trixie-staging/main armhf libx11-6 armhf 2:1.8.7-1 [729 kB]
Get:17 http://172.17.4.1/private trixie-staging/main armhf libx11-xcb1 armhf 2:1.8.7-1 [231 kB]
Get:18 http://172.17.4.1/private trixie-staging/main armhf libxcb-dri2-0 armhf 1.15-1 [107 kB]
Get:19 http://172.17.4.1/private trixie-staging/main armhf libxcb-dri3-0 armhf 1.15-1 [107 kB]
Get:20 http://172.17.4.1/private trixie-staging/main armhf libxcb-present0 armhf 1.15-1 [105 kB]
Get:21 http://172.17.4.1/private trixie-staging/main armhf libxcb-sync1 armhf 1.15-1 [108 kB]
Get:22 http://172.17.4.1/private trixie-staging/main armhf libxcb-xfixes0 armhf 1.15-1 [109 kB]
Get:23 http://172.17.4.1/private trixie-staging/main armhf libxshmfence1 armhf 1.3-1 [8636 B]
Get:24 http://172.17.4.1/private trixie-staging/main armhf libegl-mesa0 armhf 23.1.7-1+rpi1 [94.3 kB]
Get:25 http://172.17.4.1/private trixie-staging/main armhf libegl1 armhf 1.7.0-1 [28.4 kB]
Get:26 http://172.17.4.1/private trixie-staging/main armhf libgles2 armhf 1.7.0-1 [17.3 kB]
Get:27 http://172.17.4.1/private trixie-staging/main armhf zlib1g armhf 1:1.3.dfsg-3 [74.3 kB]
Get:28 http://172.17.4.1/private trixie-staging/main armhf libglib2.0-0 armhf 2.78.3-1 [1256 kB]
Get:29 http://172.17.4.1/private trixie-staging/main armhf libelf1 armhf 0.188-2.1+rpi1 [171 kB]
Get:30 http://172.17.4.1/private trixie-staging/main armhf libdw1 armhf 0.188-2.1+rpi1 [212 kB]
Get:31 http://172.17.4.1/private trixie-staging/main armhf libunwind8 armhf 1.6.2-3 [42.6 kB]
Get:32 http://172.17.4.1/private trixie-staging/main armhf libcap2-bin armhf 1:2.66-4 [32.4 kB]
Get:33 http://172.17.4.1/private trixie-staging/main armhf libgstreamer1.0-0 armhf 1.22.8-1 [1085 kB]
Get:34 http://172.17.4.1/private trixie-staging/main armhf liborc-0.4-0 armhf 1:0.4.34-3 [138 kB]
Get:35 http://172.17.4.1/private trixie-staging/main armhf iso-codes all 4.15.0-1 [2906 kB]
Get:36 http://172.17.4.1/private trixie-staging/main armhf libgstreamer-plugins-base1.0-0 armhf 1.22.8-1 [858 kB]
Get:37 http://172.17.4.1/private trixie-staging/main armhf libhyphen0 armhf 2.8.8-7 [30.0 kB]
Get:38 http://172.17.4.1/private trixie-staging/main armhf libicu72 armhf 72.1-4 [9009 kB]
Get:39 http://172.17.4.1/private trixie-staging/main armhf libjpeg62-turbo armhf 1:2.1.5-2 [143 kB]
Get:40 http://172.17.4.1/private trixie-staging/main armhf libpng16-16 armhf 1.6.40-2 [258 kB]
Get:41 http://172.17.4.1/private trixie-staging/main armhf libxml2 armhf 2.9.14+dfsg-1.3 [571 kB]
Get:42 http://172.17.4.1/private trixie-staging/main armhf shared-mime-info armhf 2.4-1 [746 kB]
Get:43 http://172.17.4.1/private trixie-staging/main armhf libdouble-conversion3 armhf 3.3.0-1 [37.4 kB]
Get:44 http://172.17.4.1/private trixie-staging/main armhf libpcre2-16-0 armhf 10.42-4 [211 kB]
Get:45 http://172.17.4.1/private trixie-staging/main armhf libqt5core5a armhf 5.15.10+dfsg-3+rpi1 [1502 kB]
Get:46 http://172.17.4.1/private trixie-staging/main armhf libbrotli1 armhf 1.1.0-2 [280 kB]
Get:47 http://172.17.4.1/private trixie-staging/main armhf libfreetype6 armhf 2.13.2+dfsg-1 [366 kB]
Get:48 http://172.17.4.1/private trixie-staging/main armhf fonts-dejavu-mono all 2.37-8 [489 kB]
Get:49 http://172.17.4.1/private trixie-staging/main armhf fonts-dejavu-core all 2.37-8 [840 kB]
Get:50 http://172.17.4.1/private trixie-staging/main armhf fontconfig-config armhf 2.14.2-6 [316 kB]
Get:51 http://172.17.4.1/private trixie-staging/main armhf libfontconfig1 armhf 2.14.2-6 [367 kB]
Get:52 http://172.17.4.1/private trixie-staging/main armhf fontconfig armhf 2.14.2-6 [461 kB]
Get:53 http://172.17.4.1/private trixie-staging/main armhf libgraphite2-3 armhf 1.3.14-2 [62.8 kB]
Get:54 http://172.17.4.1/private trixie-staging/main armhf libharfbuzz0b armhf 8.0.1-1 [2098 kB]
Get:55 http://172.17.4.1/private trixie-staging/main armhf x11-common all 1:7.7+23 [252 kB]
Get:56 http://172.17.4.1/private trixie-staging/main armhf libice6 armhf 2:1.0.10-1 [51.7 kB]
Get:57 http://172.17.4.1/private trixie-staging/main armhf libevdev2 armhf 1.13.1+dfsg-1+rpi1 [25.6 kB]
Get:58 http://172.17.4.1/private trixie-staging/main armhf libmtdev1 armhf 1.1.6-1 [22.0 kB]
Get:59 http://172.17.4.1/private trixie-staging/main armhf libgudev-1.0-0 armhf 238-3 [12.4 kB]
Get:60 http://172.17.4.1/private trixie-staging/main armhf libwacom-common all 2.8.0-1 [60.6 kB]
Get:61 http://172.17.4.1/private trixie-staging/main armhf libwacom9 armhf 2.8.0-1 [18.6 kB]
Get:62 http://172.17.4.1/private trixie-staging/main armhf libinput-bin armhf 1.23.0-2.1 [22.3 kB]
Get:63 http://172.17.4.1/private trixie-staging/main armhf libinput10 armhf 1.23.0-2.1 [107 kB]
Get:64 http://172.17.4.1/private trixie-staging/main armhf libmd4c0 armhf 0.4.8-1 [39.4 kB]
Get:65 http://172.17.4.1/private trixie-staging/main armhf libdbus-1-3 armhf 1.14.10-3 [177 kB]
Get:66 http://172.17.4.1/private trixie-staging/main armhf libqt5dbus5 armhf 5.15.10+dfsg-3+rpi1 [184 kB]
Get:67 http://172.17.4.1/private trixie-staging/main armhf libqt5network5 armhf 5.15.10+dfsg-3+rpi1 [572 kB]
Get:68 http://172.17.4.1/private trixie-staging/main armhf libsm6 armhf 2:1.2.3-1 [32.9 kB]
Get:69 http://172.17.4.1/private trixie-staging/main armhf libxcb-icccm4 armhf 0.4.1-1.1 [26.3 kB]
Get:70 http://172.17.4.1/private trixie-staging/main armhf libxcb-shm0 armhf 1.15-1 [106 kB]
Get:71 http://172.17.4.1/private trixie-staging/main armhf libxcb-util1 armhf 0.4.0-1 [22.1 kB]
Get:72 http://172.17.4.1/private trixie-staging/main armhf libxcb-image0 armhf 0.4.0-2 [21.9 kB]
Get:73 http://172.17.4.1/private trixie-staging/main armhf libxcb-keysyms1 armhf 0.4.0-1+b2 [15.9 kB]
Get:74 http://172.17.4.1/private trixie-staging/main armhf libxcb-render0 armhf 1.15-1 [114 kB]
Get:75 http://172.17.4.1/private trixie-staging/main armhf libxcb-render-util0 armhf 0.3.9-1+b1 [17.3 kB]
Get:76 http://172.17.4.1/private trixie-staging/main armhf libxcb-shape0 armhf 1.15-1 [106 kB]
Get:77 http://172.17.4.1/private trixie-staging/main armhf libxcb-xinerama0 armhf 1.15-1 [105 kB]
Get:78 http://172.17.4.1/private trixie-staging/main armhf libxcb-xinput0 armhf 1.15-1 [127 kB]
Get:79 http://172.17.4.1/private trixie-staging/main armhf libxcb-xkb1 armhf 1.15-1 [126 kB]
Get:80 http://172.17.4.1/private trixie-staging/main armhf xkb-data all 2.38-2 [782 kB]
Get:81 http://172.17.4.1/private trixie-staging/main armhf libxkbcommon0 armhf 1.6.0-1 [95.6 kB]
Get:82 http://172.17.4.1/private trixie-staging/main armhf libxkbcommon-x11-0 armhf 1.6.0-1 [14.0 kB]
Get:83 http://172.17.4.1/private trixie-staging/main armhf libxrender1 armhf 1:0.9.10-1.1 [30.0 kB]
Get:84 http://172.17.4.1/private trixie-staging/main armhf libqt5gui5 armhf 5.15.10+dfsg-3+rpi1 [2542 kB]
Get:85 http://172.17.4.1/private trixie-staging/main armhf libqt5positioning5 armhf 5.15.10+dfsg-3 [172 kB]
Get:86 http://172.17.4.1/private trixie-staging/main armhf libavahi-common-data armhf 0.8-13 [111 kB]
Get:87 http://172.17.4.1/private trixie-staging/main armhf libavahi-common3 armhf 0.8-13 [40.1 kB]
Get:88 http://172.17.4.1/private trixie-staging/main armhf libavahi-client3 armhf 0.8-13 [42.6 kB]
Get:89 http://172.17.4.1/private trixie-staging/main armhf libcups2 armhf 2.4.7-1 [206 kB]
Get:90 http://172.17.4.1/private trixie-staging/main armhf libqt5widgets5 armhf 5.15.10+dfsg-3+rpi1 [2041 kB]
Get:91 http://172.17.4.1/private trixie-staging/main armhf libqt5printsupport5 armhf 5.15.10+dfsg-3+rpi1 [182 kB]
Get:92 http://172.17.4.1/private trixie-staging/main armhf libqt5qml5 armhf 5.15.10+dfsg-2+rpi1 [1113 kB]
Get:93 http://172.17.4.1/private trixie-staging/main armhf libqt5qmlmodels5 armhf 5.15.10+dfsg-2+rpi1 [161 kB]
Get:94 http://172.17.4.1/private trixie-staging/main armhf libqt5quick5 armhf 5.15.10+dfsg-2+rpi1 [1329 kB]
Get:95 http://172.17.4.1/private trixie-staging/main armhf libqt5sensors5 armhf 5.15.10-2 [93.0 kB]
Get:96 http://172.17.4.1/private trixie-staging/main armhf libqt5webchannel5 armhf 5.15.10-2 [49.6 kB]
Get:97 http://172.17.4.1/private trixie-staging/main armhf libsharpyuv0 armhf 1.3.2-0.3 [106 kB]
Get:98 http://172.17.4.1/private trixie-staging/main armhf libwebp7 armhf 1.3.2-0.3 [261 kB]
Get:99 http://172.17.4.1/private trixie-staging/main armhf libwoff1 armhf 1.0.2-2 [35.9 kB]
Get:100 http://172.17.4.1/private trixie-staging/main armhf libxslt1.1 armhf 1.1.35-1 [221 kB]
Get:101 http://172.17.4.1/private trixie-staging/main armhf libqt5webkit5 armhf 5.212.0~alpha4-30+rpi1+b1 [8401 kB]
Get:102 http://172.17.4.1/private trixie-staging/main armhf libpython3.11-minimal armhf 3.11.7-2 [801 kB]
Get:103 http://172.17.4.1/private trixie-staging/main armhf python3.11-minimal armhf 3.11.7-2 [1677 kB]
Get:104 http://172.17.4.1/private trixie-staging/main armhf python3-minimal armhf 3.11.4-5 [26.2 kB]
Get:105 http://172.17.4.1/private trixie-staging/main armhf media-types all 10.1.0 [26.9 kB]
Get:106 http://172.17.4.1/private trixie-staging/main armhf netbase all 6.4 [12.8 kB]
Get:107 http://172.17.4.1/private trixie-staging/main armhf libpython3.11-stdlib armhf 3.11.7-2 [1694 kB]
Get:108 http://172.17.4.1/private trixie-staging/main armhf python3.11 armhf 3.11.7-2 [590 kB]
Get:109 http://172.17.4.1/private trixie-staging/main armhf libpython3-stdlib armhf 3.11.4-5 [9200 B]
Get:110 http://172.17.4.1/private trixie-staging/main armhf python3 armhf 3.11.4-5 [26.2 kB]
Get:111 http://172.17.4.1/private trixie-staging/main armhf libuchardet0 armhf 0.0.8-1 [65.5 kB]
Get:112 http://172.17.4.1/private trixie-staging/main armhf groff-base armhf 1.23.0-3 [1033 kB]
Get:113 http://172.17.4.1/private trixie-staging/main armhf bsdextrautils armhf 2.39.3-2 [81.2 kB]
Get:114 http://172.17.4.1/private trixie-staging/main armhf libpipeline1 armhf 1.5.7-1 [33.4 kB]
Get:115 http://172.17.4.1/private trixie-staging/main armhf man-db armhf 2.12.0-1 [1358 kB]
Get:116 http://172.17.4.1/private trixie-staging/main armhf libproc2-0 armhf 2:4.0.4-2 [54.9 kB]
Get:117 http://172.17.4.1/private trixie-staging/main armhf procps armhf 2:4.0.4-2 [848 kB]
Get:118 http://172.17.4.1/private trixie-staging/main armhf sensible-utils all 0.0.20 [19.3 kB]
Get:119 http://172.17.4.1/private trixie-staging/main armhf openssl armhf 3.1.4-2 [1375 kB]
Get:120 http://172.17.4.1/private trixie-staging/main armhf ca-certificates all 20230311 [153 kB]
Get:121 http://172.17.4.1/private trixie-staging/main armhf libmagic-mgc armhf 1:5.45-2 [314 kB]
Get:122 http://172.17.4.1/private trixie-staging/main armhf libmagic1 armhf 1:5.45-2 [96.1 kB]
Get:123 http://172.17.4.1/private trixie-staging/main armhf file armhf 1:5.45-2 [41.6 kB]
Get:124 http://172.17.4.1/private trixie-staging/main armhf gettext-base armhf 0.21-14 [157 kB]
Get:125 http://172.17.4.1/private trixie-staging/main armhf m4 armhf 1.4.19-4 [256 kB]
Get:126 http://172.17.4.1/private trixie-staging/main armhf autoconf all 2.71-3 [332 kB]
Get:127 http://172.17.4.1/private trixie-staging/main armhf autotools-dev all 20220109.1 [51.6 kB]
Get:128 http://172.17.4.1/private trixie-staging/main armhf automake all 1:1.16.5-1.3 [823 kB]
Get:129 http://172.17.4.1/private trixie-staging/main armhf autopoint all 0.21-14 [496 kB]
Get:130 http://172.17.4.1/private trixie-staging/main armhf libtcl8.6 armhf 8.6.13+dfsg-2 [904 kB]
Get:131 http://172.17.4.1/private trixie-staging/main armhf libxft2 armhf 2.3.6-1 [53.7 kB]
Get:132 http://172.17.4.1/private trixie-staging/main armhf libxext6 armhf 2:1.3.4-1 [48.0 kB]
Get:133 http://172.17.4.1/private trixie-staging/main armhf libxss1 armhf 1:1.2.3-1 [17.3 kB]
Get:134 http://172.17.4.1/private trixie-staging/main armhf libtk8.6 armhf 8.6.13-2 [680 kB]
Get:135 http://172.17.4.1/private trixie-staging/main armhf tk8.6-blt2.5 armhf 2.5.3+dfsg-7 [470 kB]
Get:136 http://172.17.4.1/private trixie-staging/main armhf blt armhf 2.5.3+dfsg-7 [6024 B]
Get:137 http://172.17.4.1/private trixie-staging/main armhf libdebhelper-perl all 13.11.9 [82.3 kB]
Get:138 http://172.17.4.1/private trixie-staging/main armhf libtool all 2.4.7-7 [517 kB]
Get:139 http://172.17.4.1/private trixie-staging/main armhf dh-autoreconf all 20 [17.1 kB]
Get:140 http://172.17.4.1/private trixie-staging/main armhf libarchive-zip-perl all 1.68-1 [104 kB]
Get:141 http://172.17.4.1/private trixie-staging/main armhf libsub-override-perl all 0.10-1 [10.6 kB]
Get:142 http://172.17.4.1/private trixie-staging/main armhf libfile-stripnondeterminism-perl all 1.13.1-1 [19.4 kB]
Get:143 http://172.17.4.1/private trixie-staging/main armhf dh-strip-nondeterminism all 1.13.1-1 [8620 B]
Get:144 http://172.17.4.1/private trixie-staging/main armhf dwz armhf 0.15-1 [92.4 kB]
Get:145 http://172.17.4.1/private trixie-staging/main armhf gettext armhf 0.21-14 [1203 kB]
Get:146 http://172.17.4.1/private trixie-staging/main armhf intltool-debian all 0.35.0+20060710.6 [22.9 kB]
Get:147 http://172.17.4.1/private trixie-staging/main armhf po-debconf all 1.0.21+nmu1 [248 kB]
Get:148 http://172.17.4.1/private trixie-staging/main armhf debhelper all 13.11.9 [956 kB]
Get:149 http://172.17.4.1/private trixie-staging/main armhf python3-lib2to3 all 3.11.5-1 [77.5 kB]
Get:150 http://172.17.4.1/private trixie-staging/main armhf python3-distutils all 3.11.5-1 [131 kB]
Get:151 http://172.17.4.1/private trixie-staging/main armhf python3-pkg-resources all 68.1.2-2 [241 kB]
Get:152 http://172.17.4.1/private trixie-staging/main armhf python3-setuptools all 68.1.2-2 [468 kB]
Get:153 http://172.17.4.1/private trixie-staging/main armhf dh-python all 6.20231223 [108 kB]
Get:154 http://172.17.4.1/private trixie-staging/main armhf fonts-glyphicons-halflings all 1.009~3.4.1+dfsg-3 [162 kB]
Get:155 http://172.17.4.1/private trixie-staging/main armhf fonts-lyx all 2.3.7-1 [186 kB]
Get:156 http://172.17.4.1/private trixie-staging/main armhf javascript-common all 11+nmu1 [6260 B]
Get:157 http://172.17.4.1/private trixie-staging/main armhf libaec0 armhf 1.1.2-1 [21.3 kB]
Get:158 http://172.17.4.1/private trixie-staging/main armhf libblas3 armhf 3.11.0-2 [100.0 kB]
Get:159 http://172.17.4.1/private trixie-staging/main armhf libnghttp2-14 armhf 1.58.0-1 [61.7 kB]
Get:160 http://172.17.4.1/private trixie-staging/main armhf libpsl5 armhf 0.21.2-1+b1 [57.8 kB]
Get:161 http://172.17.4.1/private trixie-staging/main armhf librtmp1 armhf 2.4+20151223.gitfa8646d.1-2+b2 [54.2 kB]
Get:162 http://172.17.4.1/private trixie-staging/main armhf libssh2-1 armhf 1.11.0-3 [195 kB]
Get:163 http://172.17.4.1/private trixie-staging/main armhf libcurl4 armhf 8.5.0-2 [378 kB]
Get:164 http://172.17.4.1/private trixie-staging/main armhf libdeflate0 armhf 1.18-1 [38.3 kB]
Get:165 http://172.17.4.1/private trixie-staging/main armhf libedit2 armhf 3.1-20230828-1 [76.0 kB]
Get:166 http://172.17.4.1/private trixie-staging/main armhf libexpat1-dev armhf 2.5.0-2 [130 kB]
Get:167 http://172.17.4.1/private trixie-staging/main armhf libfribidi0 armhf 1.0.13-3 [69.9 kB]
Get:168 http://172.17.4.1/private trixie-staging/main armhf libgfortran5 armhf 13.2.0-7+rpi1 [247 kB]
Get:169 http://172.17.4.1/private trixie-staging/main armhf libsz2 armhf 1.1.2-1 [7700 B]
Get:170 http://172.17.4.1/private trixie-staging/main armhf libhdf5-103-1 armhf 1.10.10+repack-3 [1215 kB]
Get:171 http://172.17.4.1/private trixie-staging/main armhf libhdf5-hl-100 armhf 1.10.10+repack-3 [59.9 kB]
Get:172 http://172.17.4.1/private trixie-staging/main armhf libimagequant0 armhf 2.18.0-1 [30.5 kB]
Get:173 http://172.17.4.1/private trixie-staging/main armhf libjbig0 armhf 2.1-6.1 [27.0 kB]
Get:174 http://172.17.4.1/private trixie-staging/main armhf libjs-bootstrap all 3.4.1+dfsg-3 [172 kB]
Get:175 http://172.17.4.1/private trixie-staging/main armhf libjs-popper.js all 1.16.1+ds-6 [52.4 kB]
Get:176 http://172.17.4.1/private trixie-staging/main armhf libjs-bootstrap4 all 4.6.1+dfsg1-4 [517 kB]
Get:177 http://172.17.4.1/private trixie-staging/main armhf libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [326 kB]
Get:178 http://172.17.4.1/private trixie-staging/main armhf libjs-jquery-ui all 1.13.2+dfsg-1 [250 kB]
Get:179 http://172.17.4.1/private trixie-staging/main armhf libjs-underscore all 1.13.4~dfsg+~1.11.4-3 [116 kB]
Get:180 http://172.17.4.1/private trixie-staging/main armhf libjs-sphinxdoc all 7.2.6-3 [149 kB]
Get:181 http://172.17.4.1/private trixie-staging/main armhf liblapack3 armhf 3.11.0-2 [1624 kB]
Get:182 http://172.17.4.1/private trixie-staging/main armhf liblbfgsb0 armhf 3.0+dfsg.4-1 [24.4 kB]
Get:183 http://172.17.4.1/private trixie-staging/main armhf liblcms2-2 armhf 2.14-2 [124 kB]
Get:184 http://172.17.4.1/private trixie-staging/main armhf liblerc4 armhf 4.0.0+ds-4 [132 kB]
Get:185 http://172.17.4.1/private trixie-staging/main armhf libz3-4 armhf 4.8.12-3.1 [5797 kB]
Get:186 http://172.17.4.1/private trixie-staging/main armhf libllvm14 armhf 1:14.0.6-16+rpi1 [19.5 MB]
Get:187 http://172.17.4.1/private trixie-staging/main armhf liblzf1 armhf 3.6-4 [9296 B]
Get:188 http://172.17.4.1/private trixie-staging/main armhf libopenjp2-7 armhf 2.5.0-2 [164 kB]
Get:189 http://172.17.4.1/private trixie-staging/main armhf libpfm4 armhf 4.13.0+git16-g535c204-1 [45.9 kB]
Get:190 http://172.17.4.1/private trixie-staging/main armhf libpython3.11 armhf 3.11.7-2 [1670 kB]
Get:191 http://172.17.4.1/private trixie-staging/main armhf zlib1g-dev armhf 1:1.3.dfsg-3 [903 kB]
Get:192 http://172.17.4.1/private trixie-staging/main armhf libpython3.11-dev armhf 3.11.7-2 [3287 kB]
Get:193 http://172.17.4.1/private trixie-staging/main armhf libpython3-dev armhf 3.11.4-5 [9432 B]
Get:194 http://172.17.4.1/private trixie-staging/main armhf libqhull-r8.0 armhf 2020.2-6 [216 kB]
Get:195 http://172.17.4.1/private trixie-staging/main armhf libqt5xml5 armhf 5.15.10+dfsg-3+rpi1 [107 kB]
Get:196 http://172.17.4.1/private trixie-staging/main armhf libqt5designer5 armhf 5.15.10-5 [2616 kB]
Get:197 http://172.17.4.1/private trixie-staging/main armhf libqt5sql5 armhf 5.15.10+dfsg-3+rpi1 [107 kB]
Get:198 http://172.17.4.1/private trixie-staging/main armhf libqt5help5 armhf 5.15.10-5 [125 kB]
Get:199 http://172.17.4.1/private trixie-staging/main armhf libqt5opengl5 armhf 5.15.10+dfsg-3+rpi1 [126 kB]
Get:200 http://172.17.4.1/private trixie-staging/main armhf libqt5svg5 armhf 5.15.10-2 [113 kB]
Get:201 http://172.17.4.1/private trixie-staging/main armhf libqt5test5 armhf 5.15.10+dfsg-3+rpi1 [129 kB]
Get:202 http://172.17.4.1/private trixie-staging/main armhf libraqm0 armhf 0.10.1-1 [11.7 kB]
Get:203 http://172.17.4.1/private trixie-staging/main armhf libtiff6 armhf 4.5.1+git230720-3 [299 kB]
Get:204 http://172.17.4.1/private trixie-staging/main armhf libwebpdemux2 armhf 1.3.2-0.3 [106 kB]
Get:205 http://172.17.4.1/private trixie-staging/main armhf libwebpmux3 armhf 1.3.2-0.3 [116 kB]
Get:206 http://172.17.4.1/private trixie-staging/main armhf libyaml-0-2 armhf 0.2.5-1 [44.6 kB]
Get:207 http://172.17.4.1/private trixie-staging/main armhf llvm-14-runtime armhf 1:14.0.6-16+rpi1 [429 kB]
Get:208 http://172.17.4.1/private trixie-staging/main armhf llvm-14-linker-tools armhf 1:14.0.6-16+rpi1 [1046 kB]
Get:209 http://172.17.4.1/private trixie-staging/main armhf llvm-14 armhf 1:14.0.6-16+rpi1 [10.0 MB]
Get:210 http://172.17.4.1/private trixie-staging/main armhf python-matplotlib-data all 3.6.3-1 [2744 kB]
Get:211 http://172.17.4.1/private trixie-staging/main armhf python3-all armhf 3.11.4-5 [1060 B]
Get:212 http://172.17.4.1/private trixie-staging/main armhf python3-appdirs all 1.4.4-4 [12.5 kB]
Get:213 http://172.17.4.1/private trixie-staging/main armhf python3-six all 1.16.0-4 [17.5 kB]
Get:214 http://172.17.4.1/private trixie-staging/main armhf python3-asttokens all 2.4.1-1 [20.6 kB]
Get:215 http://172.17.4.1/private trixie-staging/main armhf python3-more-itertools all 10.1.0-1 [59.1 kB]
Get:216 http://172.17.4.1/private trixie-staging/main armhf python3-zipp all 1.0.0-6 [6696 B]
Get:217 http://172.17.4.1/private trixie-staging/main armhf python3-importlib-metadata all 4.12.0-1 [24.9 kB]
Get:218 http://172.17.4.1/private trixie-staging/main armhf python3-attr all 23.2.0-1 [65.5 kB]
Get:219 http://172.17.4.1/private trixie-staging/main armhf python3-backcall all 0.2.0-4 [12.1 kB]
Get:220 http://172.17.4.1/private trixie-staging/main armhf python3-brotli armhf 1.1.0-2 [290 kB]
Get:221 http://172.17.4.1/private trixie-staging/main armhf python3-certifi all 2023.11.17-1 [155 kB]
Get:222 http://172.17.4.1/private trixie-staging/main armhf python3-chardet all 5.2.0+dfsg-1 [107 kB]
Get:223 http://172.17.4.1/private trixie-staging/main armhf python3-charset-normalizer all 3.3.2-1 [51.6 kB]
Get:224 http://172.17.4.1/private trixie-staging/main armhf python3-colorama all 0.4.6-4 [36.2 kB]
Get:225 http://172.17.4.1/private trixie-staging/main armhf python3-click all 8.1.6-1 [93.8 kB]
Get:226 http://172.17.4.1/private trixie-staging/main armhf python3-cloudpickle all 3.0.0-1 [25.4 kB]
Get:227 http://172.17.4.1/private trixie-staging/main armhf python3-numpy armhf 1:1.24.2-2 [3164 kB]
Get:228 http://172.17.4.1/private trixie-staging/main armhf python3-contourpy armhf 1.0.7-1 [141 kB]
Get:229 http://172.17.4.1/private trixie-staging/main armhf python3-cycler all 0.11.0-1 [8020 B]
Get:230 http://172.17.4.1/private trixie-staging/main armhf python3-fsspec all 2023.10.0-1 [111 kB]
Get:231 http://172.17.4.1/private trixie-staging/main armhf python3-toolz all 0.12.0-2 [43.5 kB]
Get:232 http://172.17.4.1/private trixie-staging/main armhf python3-packaging all 23.2-1 [44.8 kB]
Get:233 http://172.17.4.1/private trixie-staging/main armhf python3-locket all 1.0.0-2 [5820 B]
Get:234 http://172.17.4.1/private trixie-staging/main armhf python3-partd all 1.4.1-1 [15.2 kB]
Get:235 http://172.17.4.1/private trixie-staging/main armhf python3-yaml armhf 6.0.1-1 [108 kB]
Get:236 http://172.17.4.1/private trixie-staging/main armhf python3-dask all 2023.8.0+dfsg-2 [902 kB]
Get:237 http://172.17.4.1/private trixie-staging/main armhf python3-dateutil all 2.8.2-3 [78.4 kB]
Get:238 http://172.17.4.1/private trixie-staging/main armhf python3-decorator all 5.1.1-5 [15.1 kB]
Get:239 http://172.17.4.1/private trixie-staging/main armhf python3.11-dev armhf 3.11.7-2 [508 kB]
Get:240 http://172.17.4.1/private trixie-staging/main armhf python3-dev armhf 3.11.4-5 [26.2 kB]
Get:241 http://172.17.4.1/private trixie-staging/main armhf python3-dill all 0.3.7-1 [81.1 kB]
Get:242 http://172.17.4.1/private trixie-staging/main armhf python3-execnet all 2.0.0-2 [39.7 kB]
Get:243 http://172.17.4.1/private trixie-staging/main armhf python3-executing all 1.2.0-2 [22.6 kB]
Get:244 http://172.17.4.1/private trixie-staging/main armhf python3-scipy armhf 1.10.1-5+rpi1 [13.6 MB]
Get:245 http://172.17.4.1/private trixie-staging/main armhf python3-ufolib2 all 0.16.0+dfsg1-1 [32.9 kB]
Get:246 http://172.17.4.1/private trixie-staging/main armhf python3-mpmath all 1.2.1-2 [418 kB]
Get:247 http://172.17.4.1/private trixie-staging/main armhf python3-sympy all 1.12-6 [3868 kB]
Get:248 http://172.17.4.1/private trixie-staging/main armhf python3-tz all 2023.3.post1-2 [30.9 kB]
Get:249 http://172.17.4.1/private trixie-staging/main armhf python3-fs all 2.4.16-2 [95.2 kB]
Get:250 http://172.17.4.1/private trixie-staging/main armhf python3-lxml armhf 4.9.3-1 [1039 kB]
Get:251 http://172.17.4.1/private trixie-staging/main armhf python3-lz4 armhf 4.0.2+dfsg-1+b1 [23.9 kB]
Get:252 http://172.17.4.1/private trixie-staging/main armhf unicode-data all 15.1.0-1 [8547 kB]
Get:253 http://172.17.4.1/private trixie-staging/main armhf python3-fonttools armhf 4.46.0-1 [1271 kB]
Get:254 http://172.17.4.1/private trixie-staging/main armhf python3-h5py-serial armhf 3.9.0-5 [726 kB]
Get:255 http://172.17.4.1/private trixie-staging/main armhf python3-h5py all 3.9.0-5 [14.3 kB]
Get:256 http://172.17.4.1/private trixie-staging/main armhf python3-idna all 3.3-2 [39.1 kB]
Get:257 http://172.17.4.1/private trixie-staging/main armhf python3-tk armhf 3.11.5-1 [95.9 kB]
Get:258 http://172.17.4.1/private trixie-staging/main armhf python3-pil.imagetk armhf 10.1.0-1 [76.1 kB]
Get:259 http://172.17.4.1/private trixie-staging/main armhf python3-pil armhf 10.1.0-1 [451 kB]
Get:260 http://172.17.4.1/private trixie-staging/main armhf python3-imageio all 2.33.1-1 [227 kB]
Get:261 http://172.17.4.1/private trixie-staging/main armhf python3-iniconfig all 1.1.1-2 [6396 B]
Get:262 http://172.17.4.1/private trixie-staging/main armhf python3-parso all 0.8.3-1 [67.4 kB]
Get:263 http://172.17.4.1/private trixie-staging/main armhf python3-jedi all 0.18.2-1 [689 kB]
Get:264 http://172.17.4.1/private trixie-staging/main armhf python3-traitlets all 5.5.0-2 [90.7 kB]
Get:265 http://172.17.4.1/private trixie-staging/main armhf python3-matplotlib-inline all 0.1.6-2 [8652 B]
Get:266 http://172.17.4.1/private trixie-staging/main armhf python3-ptyprocess all 0.7.0-5 [14.7 kB]
Get:267 http://172.17.4.1/private trixie-staging/main armhf python3-pexpect all 4.8.0-4 [52.9 kB]
Get:268 http://172.17.4.1/private trixie-staging/main armhf python3-pickleshare all 0.7.5-5 [7600 B]
Get:269 http://172.17.4.1/private trixie-staging/main armhf python3-wcwidth all 0.2.5+dfsg1-1.1 [21.4 kB]
Get:270 http://172.17.4.1/private trixie-staging/main armhf python3-prompt-toolkit all 3.0.43-1 [276 kB]
Get:271 http://172.17.4.1/private trixie-staging/main armhf python3-pygments all 2.15.1+dfsg-1 [817 kB]
Get:272 http://172.17.4.1/private trixie-staging/main armhf python3-pure-eval all 0.2.2-1 [11.2 kB]
Get:273 http://172.17.4.1/private trixie-staging/main armhf python3-stack-data all 0.6.2-3 [21.8 kB]
Get:274 http://172.17.4.1/private trixie-staging/main armhf python3-ipython all 8.14.0-2 [545 kB]
Get:275 http://172.17.4.1/private trixie-staging/main armhf python3-markupsafe armhf 2.1.3-1 [12.8 kB]
Get:276 http://172.17.4.1/private trixie-staging/main armhf python3-jinja2 all 3.1.2-1 [119 kB]
Get:277 http://172.17.4.1/private trixie-staging/main armhf python3-joblib all 1.3.2-1 [217 kB]
Get:278 http://172.17.4.1/private trixie-staging/main armhf python3-kiwisolver armhf 1.4.4-1 [52.3 kB]
Get:279 http://172.17.4.1/private trixie-staging/main armhf python3-lazy-loader all 0.3-1 [11.1 kB]
Get:280 http://172.17.4.1/private trixie-staging/main armhf python3-llvmlite armhf 0.41.1-1 [156 kB]
Get:281 http://172.17.4.1/private trixie-staging/main armhf python3-pyparsing all 3.1.1-1 [145 kB]
Get:282 http://172.17.4.1/private trixie-staging/main armhf python3-matplotlib armhf 3.6.3-1 [7453 kB]
Get:283 http://172.17.4.1/private trixie-staging/main armhf python3-pbr all 5.11.1-5 [55.4 kB]
Get:284 http://172.17.4.1/private trixie-staging/main armhf python3-mock all 4.0.3-4 [64.0 kB]
Get:285 http://172.17.4.1/private trixie-staging/main armhf python3-natsort all 8.0.2-2 [39.0 kB]
Get:286 http://172.17.4.1/private trixie-staging/main armhf python3-networkx all 2.8.8-1 [1425 kB]
Get:287 http://172.17.4.1/private trixie-staging/main armhf python3-zombie-imp all 0.0.2-2 [11.7 kB]
Get:288 http://172.17.4.1/private trixie-staging/main armhf python3-nose all 1.3.7-12 [130 kB]
Get:289 http://172.17.4.1/private trixie-staging/main armhf python3-numba armhf 0.57.1+dfsg-1 [1742 kB]
Get:290 http://172.17.4.1/private trixie-staging/main armhf python3-numexpr armhf 2.8.4-1+rpi1 [82.8 kB]
Get:291 http://172.17.4.1/private trixie-staging/main armhf python3-pandas-lib armhf 1.5.3+dfsg-10 [3005 kB]
Get:292 http://172.17.4.1/private trixie-staging/main armhf python3-pandas all 1.5.3+dfsg-10 [2886 kB]
Get:293 http://172.17.4.1/private trixie-staging/main armhf python3-patsy all 0.5.4-1 [173 kB]
Get:294 http://172.17.4.1/private trixie-staging/main armhf python3-pint all 0.19.2-1 [186 kB]
Get:295 http://172.17.4.1/private trixie-staging/main armhf python3-pluggy all 1.3.0-1 [25.1 kB]
Get:296 http://172.17.4.1/private trixie-staging/main armhf python3-ptable all 0.9.2-4 [31.3 kB]
Get:297 http://172.17.4.1/private trixie-staging/main armhf python3-traits armhf 6.3.2-1+b1 [4801 kB]
Get:298 http://172.17.4.1/private trixie-staging/main armhf python3-pyqt5.sip armhf 12.13.0-1 [44.9 kB]
Get:299 http://172.17.4.1/private trixie-staging/main armhf python3-pyqt5 armhf 5.15.10+dfsg-1 [1960 kB]
Get:300 http://172.17.4.1/private trixie-staging/main armhf python3-pyqt5.qtopengl armhf 5.15.10+dfsg-1 [136 kB]
Get:301 http://172.17.4.1/private trixie-staging/main armhf python3-pyqt5.qtsvg armhf 5.15.10+dfsg-1 [119 kB]
Get:302 http://172.17.4.1/private trixie-staging/main armhf python3-pyqt5.qtwebkit armhf 5.15.10+dfsg-1 [176 kB]
Get:303 http://172.17.4.1/private trixie-staging/main armhf python3-pyface all 8.0.0-1 [679 kB]
Get:304 http://172.17.4.1/private trixie-staging/main armhf python3-pytest all 7.4.3-2 [239 kB]
Get:305 http://172.17.4.1/private trixie-staging/main armhf python3-pytest-instafail all 0.5.0-1 [9432 B]
Get:306 http://172.17.4.1/private trixie-staging/main armhf python3-pytest-mpl all 0.16.1-2 [24.4 kB]
Get:307 http://172.17.4.1/private trixie-staging/main armhf python3-pytest-rerunfailures all 12.0-1 [16.6 kB]
Get:308 http://172.17.4.1/private trixie-staging/main armhf python3-pytest-runner all 2.11.1-4 [8432 B]
Get:309 http://172.17.4.1/private trixie-staging/main armhf python3-pytest-xdist all 3.4.0-1 [41.7 kB]
Get:310 http://172.17.4.1/private trixie-staging/main armhf python3-urllib3 all 1.26.18-1 [116 kB]
Get:311 http://172.17.4.1/private trixie-staging/main armhf python3-requests all 2.31.0+dfsg-1 [68.6 kB]
Get:312 http://172.17.4.1/private trixie-staging/main armhf python3-skimage-lib armhf 0.22.0-3 [1639 kB]
Get:313 http://172.17.4.1/private trixie-staging/main armhf python3-tifffile all 20231209-1 [182 kB]
Get:314 http://172.17.4.1/private trixie-staging/main armhf python3-skimage all 0.22.0-3 [20.6 MB]
Get:315 http://172.17.4.1/private trixie-staging/main armhf python3-threadpoolctl all 3.1.0-1 [21.2 kB]
Get:316 http://172.17.4.1/private trixie-staging/main armhf python3-sklearn-lib armhf 1.2.1+dfsg-1 [2061 kB]
Get:317 http://172.17.4.1/private trixie-staging/main armhf python3-sklearn all 1.2.1+dfsg-1 [2103 kB]
Get:318 http://172.17.4.1/private trixie-staging/main armhf python3-sparse all 0.13.0-1 [63.2 kB]
Get:319 http://172.17.4.1/private trixie-staging/main armhf python3-statsmodels-lib armhf 0.14.0+dfsg-5+rpi1 [1110 kB]
Get:320 http://172.17.4.1/private trixie-staging/main armhf python3-statsmodels all 0.14.0+dfsg-5+rpi1 [4816 kB]
Get:321 http://172.17.4.1/private trixie-staging/main armhf python3-tqdm all 4.64.1-1 [97.7 kB]
Get:322 http://172.17.4.1/private trixie-staging/main armhf python3-traitsui all 8.0.0-1 [5691 kB]
debconf: delaying package configuration, since apt-utils is not installed
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Selecting previously unselected package libglvnd0:armhf.
(Reading database ... 12735 files and directories currently installed.)
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Unpacking libglvnd0:armhf (1.7.0-1) ...
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Unpacking libdrm-common (2.4.117-1+rpi1) ...
Selecting previously unselected package libdrm2:armhf.
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Unpacking libdrm2:armhf (2.4.117-1+rpi1) ...
Selecting previously unselected package libexpat1:armhf.
Preparing to unpack .../03-libexpat1_2.5.0-2_armhf.deb ...
Unpacking libexpat1:armhf (2.5.0-2) ...
Selecting previously unselected package libwayland-server0:armhf.
Preparing to unpack .../04-libwayland-server0_1.22.0-2.1_armhf.deb ...
Unpacking libwayland-server0:armhf (1.22.0-2.1) ...
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Unpacking libxau6:armhf (1:1.0.9-1) ...
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Unpacking libbsd0:armhf (0.11.7-4) ...
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Selecting previously unselected package libxcb1:armhf.
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Unpacking libxcb1:armhf (1.15-1) ...
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Unpacking libxcb-randr0:armhf (1.15-1) ...
Selecting previously unselected package libgbm1:armhf.
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Unpacking libgbm1:armhf (23.1.7-1+rpi1) ...
Selecting previously unselected package libglapi-mesa:armhf.
Preparing to unpack .../11-libglapi-mesa_23.1.7-1+rpi1_armhf.deb ...
Unpacking libglapi-mesa:armhf (23.1.7-1+rpi1) ...
Selecting previously unselected package libwayland-client0:armhf.
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Unpacking libwayland-client0:armhf (1.22.0-2.1) ...
Selecting previously unselected package libx11-data.
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Unpacking libx11-data (2:1.8.7-1) ...
Selecting previously unselected package libx11-6:armhf.
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Unpacking libx11-6:armhf (2:1.8.7-1) ...
Selecting previously unselected package libx11-xcb1:armhf.
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Unpacking libx11-xcb1:armhf (2:1.8.7-1) ...
Selecting previously unselected package libxcb-dri2-0:armhf.
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Unpacking libxcb-dri2-0:armhf (1.15-1) ...
Selecting previously unselected package libxcb-dri3-0:armhf.
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Unpacking libxcb-dri3-0:armhf (1.15-1) ...
Selecting previously unselected package libxcb-present0:armhf.
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Unpacking libxcb-present0:armhf (1.15-1) ...
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Unpacking libxcb-sync1:armhf (1.15-1) ...
Selecting previously unselected package libxcb-xfixes0:armhf.
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Unpacking libxcb-xfixes0:armhf (1.15-1) ...
Selecting previously unselected package libxshmfence1:armhf.
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Unpacking libxshmfence1:armhf (1.3-1) ...
Selecting previously unselected package libegl-mesa0:armhf.
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Unpacking libegl-mesa0:armhf (23.1.7-1+rpi1) ...
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Unpacking libegl1:armhf (1.7.0-1) ...
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Unpacking libgles2:armhf (1.7.0-1) ...
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Unpacking zlib1g:armhf (1:1.3.dfsg-3) over (1:1.2.13.dfsg-3) ...
Setting up zlib1g:armhf (1:1.3.dfsg-3) ...
Selecting previously unselected package libglib2.0-0:armhf.
(Reading database ... 13162 files and directories currently installed.)
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Unpacking libglib2.0-0:armhf (2.78.3-1) ...
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Unpacking libelf1:armhf (0.188-2.1+rpi1) ...
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Unpacking libdw1:armhf (0.188-2.1+rpi1) ...
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Unpacking libunwind8:armhf (1.6.2-3) ...
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Unpacking libcap2-bin (1:2.66-4) ...
Selecting previously unselected package libgstreamer1.0-0:armhf.
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Unpacking libgstreamer1.0-0:armhf (1.22.8-1) ...
Selecting previously unselected package liborc-0.4-0:armhf.
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Unpacking liborc-0.4-0:armhf (1:0.4.34-3) ...
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invoke-rc.d: could not determine current runlevel
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140 added, 0 removed; done.
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Setcap worked! gst-ptp-helper is not suid!
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Not building database; man-db/auto-update is not 'true'.
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Setting up libpython3.11-dev:armhf (3.11.7-2) ...
Setting up python3-dill (0.3.7-1) ...
Setting up python3-brotli (1.1.0-2) ...
Setting up libraqm0:armhf (0.10.1-1) ...
Setting up python3-cycler (0.11.0-1) ...
Setting up python3-kiwisolver (1.4.4-1) ...
Setting up python3-idna (3.3-2) ...
Setting up python3-ptable (0.9.2-4) ...
/usr/lib/python3/dist-packages/prettytable/prettytable.py:421: SyntaxWarning: "is" with a literal. Did you mean "=="?
  elif val is None or (isinstance(val, dict) and len(val) is 0):
/usr/lib/python3/dist-packages/prettytable/prettytable.py:441: SyntaxWarning: "is" with a literal. Did you mean "=="?
  elif val is None or (isinstance(val, dict) and len(val) is 0):
/usr/lib/python3/dist-packages/prettytable/prettytable.py:459: SyntaxWarning: "is" with a literal. Did you mean "=="?
  if val is None or (isinstance(val, dict) and len(val) is 0):
/usr/lib/python3/dist-packages/prettytable/prettytable.py:476: SyntaxWarning: "is" with a literal. Did you mean "=="?
  if val is None or (isinstance(val, dict) and len(val) is 0):
/usr/lib/python3/dist-packages/prettytable/prettytable.py:674: SyntaxWarning: "is" with a literal. Did you mean "=="?
  if val is None or (isinstance(val, dict) and len(val) is 0):
/usr/lib/python3/dist-packages/prettytable/prettytable.py:691: SyntaxWarning: "is" with a literal. Did you mean "=="?
  if val is None or (isinstance(val, dict) and len(val) is 0):
Setting up libqt5webchannel5:armhf (5.15.10-2) ...
Setting up python3-pickleshare (0.7.5-5) ...
Setting up python3-urllib3 (1.26.18-1) ...
Setting up python3-pluggy (1.3.0-1) ...
Setting up libcups2:armhf (2.4.7-1) ...
Setting up python3-pyqt5.sip (12.13.0-1) ...
Setting up libhdf5-103-1:armhf (1.10.10+repack-3) ...
Setting up python3-lxml:armhf (4.9.3-1) ...
Setting up python3-traitlets (5.5.0-2) ...
Setting up libegl1:armhf (1.7.0-1) ...
Setting up python3-toolz (0.12.0-2) ...
Setting up python3-dateutil (2.8.2-3) ...
Setting up libxss1:armhf (1:1.2.3-1) ...
Setting up python3-lazy-loader (0.3-1) ...
Setting up python3-mpmath (1.2.1-2) ...
Setting up python3-execnet (2.0.0-2) ...
Setting up python3-lib2to3 (3.11.5-1) ...
Setting up python3-locket (1.0.0-2) ...
Setting up python3-appdirs (1.4.4-4) ...
Setting up python3-ptyprocess (0.7.0-5) ...
Setting up libhdf5-hl-100:armhf (1.10.10+repack-3) ...
Setting up llvm-14 (1:14.0.6-16+rpi1) ...
Setting up python3-pkg-resources (68.1.2-2) ...
Setting up python3-prompt-toolkit (3.0.43-1) ...
Setting up python3-distutils (3.11.5-1) ...
Setting up python3-partd (1.4.1-1) ...
Setting up python3-more-itertools (10.1.0-1) ...
Setting up python3-iniconfig (1.1.1-2) ...
Setting up python3-sympy (1.12-6) ...
Setting up python3-attr (23.2.0-1) ...
Setting up python3-pure-eval (0.2.2-1) ...
Setting up libxft2:armhf (2.3.6-1) ...
Setting up libqt5qmlmodels5:armhf (5.15.10+dfsg-2+rpi1) ...
Setting up python3-zombie-imp (0.0.2-2) ...
Setting up libpython3-dev:armhf (3.11.4-5) ...
Setting up python3-setuptools (68.1.2-2) ...
Setting up python3-traits (6.3.2-1+b1) ...
Setting up python3-backcall (0.2.0-4) ...
Setting up python3-joblib (1.3.2-1) ...
Setting up python3-parso (0.8.3-1) ...
Setting up python3-colorama (0.4.6-4) ...
Setting up python3-lz4 (4.0.2+dfsg-1+b1) ...
Setting up python3-pbr (5.11.1-5) ...
Setting up python3-asttokens (2.4.1-1) ...
Setting up python3.11-dev (3.11.7-2) ...
Setting up python3-charset-normalizer (3.3.2-1) ...
Setting up python3-pytest (7.4.3-2) ...
Setting up python3-pytest-instafail (0.5.0-1) ...
Setting up libtk8.6:armhf (8.6.13-2) ...
Setting up python3-fsspec (2023.10.0-1) ...
Setting up python3-tqdm (4.64.1-1) ...
Setting up libqt5gui5:armhf (5.15.10+dfsg-3+rpi1) ...
Setting up python3-threadpoolctl (3.1.0-1) ...
Setting up python3-all (3.11.4-5) ...
Setting up python3-yaml (6.0.1-1) ...
Setting up debhelper (13.11.9) ...
Setting up libqt5widgets5:armhf (5.15.10+dfsg-3+rpi1) ...
Setting up python3-zipp (1.0.0-6) ...
Setting up python3-click (8.1.6-1) ...
Setting up python3-networkx (2.8.8-1) ...
Setting up python3-nose (1.3.7-12) ...
Setting up libqt5help5:armhf (5.15.10-5) ...
Setting up python3-matplotlib-inline (0.1.6-2) ...
Setting up python3-mock (4.0.3-4) ...
Setting up python3-fs (2.4.16-2) ...
Setting up libqt5printsupport5:armhf (5.15.10+dfsg-3+rpi1) ...
Setting up python3-pint (0.19.2-1) ...
Setting up python3-pil:armhf (10.1.0-1) ...
Setting up python3-llvmlite (0.41.1-1) ...
Setting up python3-pygments (2.15.1+dfsg-1) ...
Setting up python3-chardet (5.2.0+dfsg-1) ...
Setting up python3-executing (1.2.0-2) ...
Setting up python3-pexpect (4.8.0-4) ...
Setting up python3-dev (3.11.4-5) ...
Setting up python3-requests (2.31.0+dfsg-1) ...
Setting up python3-numpy (1:1.24.2-2) ...
Setting up libqt5opengl5:armhf (5.15.10+dfsg-3+rpi1) ...
Setting up python3-contourpy (1.0.7-1) ...
Setting up python3-pytest-runner (2.11.1-4) ...
Setting up libqt5quick5:armhf (5.15.10+dfsg-2+rpi1) ...
Setting up python3-stack-data (0.6.2-3) ...
Setting up python3-statsmodels-lib:armhf (0.14.0+dfsg-5+rpi1) ...
Setting up python3-imageio (2.33.1-1) ...
Setting up dh-python (6.20231223) ...
Setting up tk8.6-blt2.5 (2.5.3+dfsg-7) ...
Setting up python3-pytest-rerunfailures (12.0-1) ...
Setting up python3-scipy (1.10.1-5+rpi1) ...
Setting up python3-importlib-metadata (4.12.0-1) ...
Setting up python3-pytest-xdist (3.4.0-1) ...
Setting up libqt5designer5:armhf (5.15.10-5) ...
Setting up python3-skimage-lib:armhf (0.22.0-3) ...
Setting up python3-jedi (0.18.2-1) ...
Setting up blt (2.5.3+dfsg-7) ...
Setting up python3-pandas-lib:armhf (1.5.3+dfsg-10) ...
Setting up libqt5svg5:armhf (5.15.10-2) ...
Setting up python3-sklearn-lib:armhf (1.2.1+dfsg-1) ...
Setting up python3-dask (2023.8.0+dfsg-2) ...
Setting up python3-h5py-serial (3.9.0-5) ...
Setting up python3-tk:armhf (3.11.5-1) ...
Setting up python3-tifffile (20231209-1) ...
Setting up libqt5webkit5:armhf (5.212.0~alpha4-30+rpi1+b1) ...
Setting up python3-numba (0.57.1+dfsg-1) ...
update-alternatives: using /usr/share/python3-numba/numba to provide /usr/bin/numba (numba) in auto mode
Setting up python3-patsy (0.5.4-1) ...
Setting up python3-pandas (1.5.3+dfsg-10) ...
Setting up python3-pil.imagetk:armhf (10.1.0-1) ...
Setting up python3-ipython (8.14.0-2) ...
Setting up python3-h5py (3.9.0-5) ...
Setting up python3-sklearn (1.2.1+dfsg-1) ...
Setting up python3-numexpr (2.8.4-1+rpi1) ...
Setting up python3-statsmodels (0.14.0+dfsg-5+rpi1) ...
Setting up python3-pyqt5 (5.15.10+dfsg-1) ...
Setting up python3-pyqt5.qtsvg (5.15.10+dfsg-1) ...
Setting up python3-pyqt5.qtopengl (5.15.10+dfsg-1) ...
Setting up python3-sparse (0.13.0-1) ...
Setting up python3-pyqt5.qtwebkit (5.15.10+dfsg-1) ...
Setting up python3-pyface (8.0.0-1) ...
Setting up python3-traitsui (8.0.0-1) ...
Setting up python3-fonttools (4.46.0-1) ...
Setting up python3-ufolib2 (0.16.0+dfsg1-1) ...
Setting up python3-matplotlib (3.6.3-1) ...
Setting up python3-pytest-mpl (0.16.1-2) ...
Setting up python3-skimage (0.22.0-3) ...
Setting up sbuild-build-depends-main-dummy (0.invalid.0) ...
Processing triggers for libc-bin (2.37-12+rpi2) ...
Processing triggers for ca-certificates (20230311) ...
Updating certificates in /etc/ssl/certs...
0 added, 0 removed; done.
Running hooks in /etc/ca-certificates/update.d...
done.

+------------------------------------------------------------------------------+
| Check architectures                                                          |
+------------------------------------------------------------------------------+

Arch check ok (armhf included in any)

+------------------------------------------------------------------------------+
| Build environment                                                            |
+------------------------------------------------------------------------------+

Kernel: Linux 6.1.47-v8+ #1 SMP PREEMPT Fri Sep  1 07:05:33 BST 2023 arm64 (aarch64)
Toolchain package versions: binutils_2.41-6+rpi1 dpkg-dev_1.22.1+rpi1 g++-12_12.3.0-13+rpi1 g++-13_13.2.0-7+rpi1 gcc-12_12.3.0-13+rpi1 gcc-13_13.2.0-7+rpi1 libc6-dev_2.37-12+rpi2 libstdc++-12-dev_12.3.0-13+rpi1 libstdc++-13-dev_13.2.0-7+rpi1 libstdc++6_13.2.0-7+rpi1 linux-libc-dev_6.5.6-1+rpi1
Package versions: adduser_3.137 apt_2.7.6 autoconf_2.71-3 automake_1:1.16.5-1.3 autopoint_0.21-14 autotools-dev_20220109.1 base-files_13+rpi1 base-passwd_3.6.3 bash_5.2.21-2 binutils_2.41-6+rpi1 binutils-arm-linux-gnueabihf_2.41-6+rpi1 binutils-common_2.41-6+rpi1 blt_2.5.3+dfsg-7 bsdextrautils_2.39.3-2 bsdutils_1:2.39.3-2 build-essential_12.10 bzip2_1.0.8-5+b2 ca-certificates_20230311 coreutils_9.1-1 cpp_4:13.2.0-1+rpi1 cpp-12_12.3.0-13+rpi1 cpp-13_13.2.0-7+rpi1 dash_0.5.12-6 debconf_1.5.82 debhelper_13.11.9 debianutils_5.14 dh-autoreconf_20 dh-python_6.20231223 dh-strip-nondeterminism_1.13.1-1 diffutils_1:3.10-1 dirmngr_2.2.40-1.1 dpkg_1.22.1+rpi1 dpkg-dev_1.22.1+rpi1 dwz_0.15-1 e2fsprogs_1.47.0-2 fakeroot_1.32.2-1 file_1:5.45-2 findutils_4.9.0-5 fontconfig_2.14.2-6 fontconfig-config_2.14.2-6 fonts-dejavu-core_2.37-8 fonts-dejavu-mono_2.37-8 fonts-glyphicons-halflings_1.009~3.4.1+dfsg-3 fonts-lyx_2.3.7-1 g++_4:13.2.0-1+rpi1 g++-12_12.3.0-13+rpi1 g++-13_13.2.0-7+rpi1 gcc_4:13.2.0-1+rpi1 gcc-10-base_10.4.0-7+rpi1 gcc-12_12.3.0-13+rpi1 gcc-12-base_12.3.0-13+rpi1 gcc-13_13.2.0-7+rpi1 gcc-13-base_13.2.0-7+rpi1 gcc-7-base_7.5.0-6+rpi1+b2 gcc-8-base_8.4.0-7+rpi1 gcc-9-base_9.4.0-2+rpi1 gettext_0.21-14 gettext-base_0.21-14 gnupg_2.2.40-1.1 gnupg-l10n_2.2.40-1.1 gnupg-utils_2.2.40-1.1 gpg_2.2.40-1.1 gpg-agent_2.2.40-1.1 gpg-wks-client_2.2.40-1.1 gpg-wks-server_2.2.40-1.1 gpgconf_2.2.40-1.1 gpgsm_2.2.40-1.1 gpgv_2.2.40-1.1 grep_3.11-3 groff-base_1.23.0-3 gzip_1.12-1 hostname_3.23+nmu1 init-system-helpers_1.66 intltool-debian_0.35.0+20060710.6 iso-codes_4.15.0-1 javascript-common_11+nmu1 libacl1_2.3.1-3 libaec0_1.1.2-1 libapt-pkg6.0_2.7.6 libarchive-zip-perl_1.68-1 libasan8_13.2.0-7+rpi1 libassuan0_2.5.6-1 libatomic1_13.2.0-7+rpi1 libattr1_1:2.5.1-4 libaudit-common_1:3.1.2-1 libaudit1_1:3.1.2-1 libavahi-client3_0.8-13 libavahi-common-data_0.8-13 libavahi-common3_0.8-13 libbinutils_2.41-6+rpi1 libblas3_3.11.0-2 libblkid1_2.39.3-2 libbrotli1_1.1.0-2 libbsd0_0.11.7-4 libbz2-1.0_1.0.8-5+b2 libc-bin_2.37-12+rpi2 libc-dev-bin_2.37-12+rpi2 libc6_2.37-12+rpi2 libc6-dev_2.37-12+rpi2 libcap-ng0_0.8.3-3 libcap2_1:2.66-4 libcap2-bin_1:2.66-4 libcc1-0_13.2.0-7+rpi1 libcom-err2_1.47.0-2 libcrypt-dev_1:4.4.36-2 libcrypt1_1:4.4.36-2 libctf-nobfd0_2.41-6+rpi1 libctf0_2.41-6+rpi1 libcups2_2.4.7-1 libcurl4_8.5.0-2 libdb5.3_5.3.28+dfsg2-4 libdbus-1-3_1.14.10-3 libdebconfclient0_0.271 libdebhelper-perl_13.11.9 libdeflate0_1.18-1 libdouble-conversion3_3.3.0-1 libdpkg-perl_1.22.1+rpi1 libdrm-common_2.4.117-1+rpi1 libdrm2_2.4.117-1+rpi1 libdw1_0.188-2.1+rpi1 libedit2_3.1-20230828-1 libegl-mesa0_23.1.7-1+rpi1 libegl1_1.7.0-1 libelf1_0.188-2.1+rpi1 libevdev2_1.13.1+dfsg-1+rpi1 libexpat1_2.5.0-2 libexpat1-dev_2.5.0-2 libext2fs2_1.47.0-2 libfakeroot_1.32.2-1 libffi8_3.4.4-2 libfile-find-rule-perl_0.34-3 libfile-stripnondeterminism-perl_1.13.1-1 libfontconfig1_2.14.2-6 libfreetype6_2.13.2+dfsg-1 libfribidi0_1.0.13-3 libgbm1_23.1.7-1+rpi1 libgcc-12-dev_12.3.0-13+rpi1 libgcc-13-dev_13.2.0-7+rpi1 libgcc-s1_13.2.0-7+rpi1 libgcrypt20_1.10.3-2 libgdbm-compat4_1.23-5 libgdbm6_1.23-5 libgfortran5_13.2.0-7+rpi1 libglapi-mesa_23.1.7-1+rpi1 libgles2_1.7.0-1 libglib2.0-0_2.78.3-1 libglvnd0_1.7.0-1 libgmp10_2:6.3.0+dfsg-2 libgnutls30_3.8.2-1 libgomp1_13.2.0-7+rpi1 libgpg-error0_1.47-3 libgraphite2-3_1.3.14-2 libgssapi-krb5-2_1.20.1-5 libgstreamer-plugins-base1.0-0_1.22.8-1 libgstreamer1.0-0_1.22.8-1 libgudev-1.0-0_238-3 libharfbuzz0b_8.0.1-1 libhdf5-103-1_1.10.10+repack-3 libhdf5-hl-100_1.10.10+repack-3 libhogweed6_3.9.1-2 libhyphen0_2.8.8-7 libice6_2:1.0.10-1 libicu72_72.1-4 libidn2-0_2.3.4-1 libimagequant0_2.18.0-1 libinput-bin_1.23.0-2.1 libinput10_1.23.0-2.1 libisl23_0.26-3 libjansson4_2.14-2 libjbig0_2.1-6.1 libjpeg62-turbo_1:2.1.5-2 libjs-bootstrap_3.4.1+dfsg-3 libjs-bootstrap4_4.6.1+dfsg1-4 libjs-jquery_3.6.1+dfsg+~3.5.14-1 libjs-jquery-ui_1.13.2+dfsg-1 libjs-popper.js_1.16.1+ds-6 libjs-sphinxdoc_7.2.6-3 libjs-underscore_1.13.4~dfsg+~1.11.4-3 libk5crypto3_1.20.1-5 libkeyutils1_1.6.3-2 libkrb5-3_1.20.1-5 libkrb5support0_1.20.1-5 libksba8_1.6.5-2 liblapack3_3.11.0-2 liblbfgsb0_3.0+dfsg.4-1 liblcms2-2_2.14-2 libldap-2.5-0_2.5.13+dfsg-5+rpi1 liblerc4_4.0.0+ds-4 libllvm14_1:14.0.6-16+rpi1 liblocale-gettext-perl_1.07-6 liblz4-1_1.9.4-1+rpi1+b1 liblzf1_3.6-4 liblzma5_5.4.5-0.1 libmagic-mgc_1:5.45-2 libmagic1_1:5.45-2 libmd0_1.1.0-1 libmd4c0_0.4.8-1 libmount1_2.39.3-2 libmpc3_1.3.1-1 libmpfr6_4.2.1-1 libmtdev1_1.1.6-1 libncursesw6_6.4+20231209-1 libnettle8_3.9.1-2 libnghttp2-14_1.58.0-1 libnpth0_1.6-3 libnsl-dev_1.3.0-3 libnsl2_1.3.0-3 libnumber-compare-perl_0.03-3 libopenjp2-7_2.5.0-2 liborc-0.4-0_1:0.4.34-3 libp11-kit0_0.25.3-2 libpam-modules_1.5.2-9.1 libpam-modules-bin_1.5.2-9.1 libpam-runtime_1.5.2-9.1 libpam0g_1.5.2-9.1 libpcre2-16-0_10.42-4 libpcre2-8-0_10.42-4 libperl5.36_5.36.0-10 libpfm4_4.13.0+git16-g535c204-1 libpipeline1_1.5.7-1 libpng16-16_1.6.40-2 libproc2-0_2:4.0.4-2 libpsl5_0.21.2-1+b1 libpython3-dev_3.11.4-5 libpython3-stdlib_3.11.4-5 libpython3.11_3.11.7-2 libpython3.11-dev_3.11.7-2 libpython3.11-minimal_3.11.7-2 libpython3.11-stdlib_3.11.7-2 libqhull-r8.0_2020.2-6 libqt5core5a_5.15.10+dfsg-3+rpi1 libqt5dbus5_5.15.10+dfsg-3+rpi1 libqt5designer5_5.15.10-5 libqt5gui5_5.15.10+dfsg-3+rpi1 libqt5help5_5.15.10-5 libqt5network5_5.15.10+dfsg-3+rpi1 libqt5opengl5_5.15.10+dfsg-3+rpi1 libqt5positioning5_5.15.10+dfsg-3 libqt5printsupport5_5.15.10+dfsg-3+rpi1 libqt5qml5_5.15.10+dfsg-2+rpi1 libqt5qmlmodels5_5.15.10+dfsg-2+rpi1 libqt5quick5_5.15.10+dfsg-2+rpi1 libqt5sensors5_5.15.10-2 libqt5sql5_5.15.10+dfsg-3+rpi1 libqt5svg5_5.15.10-2 libqt5test5_5.15.10+dfsg-3+rpi1 libqt5webchannel5_5.15.10-2 libqt5webkit5_5.212.0~alpha4-30+rpi1+b1 libqt5widgets5_5.15.10+dfsg-3+rpi1 libqt5xml5_5.15.10+dfsg-3+rpi1 libraqm0_0.10.1-1 libreadline8_8.2-3 librtmp1_2.4+20151223.gitfa8646d.1-2+b2 libsasl2-2_2.1.28+dfsg1-4 libsasl2-modules-db_2.1.28+dfsg1-4 libseccomp2_2.5.4-2+rpi1 libselinux1_3.5-1 libsemanage-common_3.5-1 libsemanage2_3.5-1 libsepol2_3.5-2 libsframe1_2.41-6+rpi1 libsharpyuv0_1.3.2-0.3 libsm6_2:1.2.3-1 libsmartcols1_2.39.3-2 libsqlite3-0_3.44.2-1 libss2_1.47.0-2 libssh2-1_1.11.0-3 libssl3_3.1.4-2 libstdc++-12-dev_12.3.0-13+rpi1 libstdc++-13-dev_13.2.0-7+rpi1 libstdc++6_13.2.0-7+rpi1 libsub-override-perl_0.10-1 libsystemd0_254.5-1+rpi1 libsz2_1.1.2-1 libtasn1-6_4.19.0-3 libtcl8.6_8.6.13+dfsg-2 libtext-charwidth-perl_0.04-11 libtext-glob-perl_0.11-3 libtext-iconv-perl_1.7-8 libtiff6_4.5.1+git230720-3 libtinfo6_6.4+20231209-1 libtirpc-common_1.3.4+ds-1 libtirpc-dev_1.3.4+ds-1 libtirpc3_1.3.4+ds-1 libtk8.6_8.6.13-2 libtool_2.4.7-7 libubsan1_13.2.0-7+rpi1 libuchardet0_0.0.8-1 libudev1_254.5-1+rpi1 libunistring5_1.1-2 libunwind8_1.6.2-3 libuuid1_2.39.3-2 libwacom-common_2.8.0-1 libwacom9_2.8.0-1 libwayland-client0_1.22.0-2.1 libwayland-server0_1.22.0-2.1 libwebp7_1.3.2-0.3 libwebpdemux2_1.3.2-0.3 libwebpmux3_1.3.2-0.3 libwoff1_1.0.2-2 libx11-6_2:1.8.7-1 libx11-data_2:1.8.7-1 libx11-xcb1_2:1.8.7-1 libxau6_1:1.0.9-1 libxcb-dri2-0_1.15-1 libxcb-dri3-0_1.15-1 libxcb-icccm4_0.4.1-1.1 libxcb-image0_0.4.0-2 libxcb-keysyms1_0.4.0-1+b2 libxcb-present0_1.15-1 libxcb-randr0_1.15-1 libxcb-render-util0_0.3.9-1+b1 libxcb-render0_1.15-1 libxcb-shape0_1.15-1 libxcb-shm0_1.15-1 libxcb-sync1_1.15-1 libxcb-util1_0.4.0-1 libxcb-xfixes0_1.15-1 libxcb-xinerama0_1.15-1 libxcb-xinput0_1.15-1 libxcb-xkb1_1.15-1 libxcb1_1.15-1 libxdmcp6_1:1.1.2-3 libxext6_2:1.3.4-1 libxft2_2.3.6-1 libxkbcommon-x11-0_1.6.0-1 libxkbcommon0_1.6.0-1 libxml2_2.9.14+dfsg-1.3 libxrender1_1:0.9.10-1.1 libxshmfence1_1.3-1 libxslt1.1_1.1.35-1 libxss1_1:1.2.3-1 libxxhash0_0.8.2-2 libyaml-0-2_0.2.5-1 libz3-4_4.8.12-3.1 libzstd1_1.5.5+dfsg2-2 linux-libc-dev_6.5.6-1+rpi1 llvm-14_1:14.0.6-16+rpi1 llvm-14-linker-tools_1:14.0.6-16+rpi1 llvm-14-runtime_1:14.0.6-16+rpi1 login_1:4.13+dfsg1-3 logsave_1.47.0-2 lsb-base_11.6+rpi1 m4_1.4.19-4 make_4.3-4.1 man-db_2.12.0-1 mawk_1.3.4.20231126-1 media-types_10.1.0 mount_2.39.3-2 nano_7.2-1 ncurses-base_6.4+20231209-1 ncurses-bin_6.4+20231209-1 netbase_6.4 openssl_3.1.4-2 passwd_1:4.13+dfsg1-3 patch_2.7.6-7 perl_5.36.0-10 perl-base_5.36.0-10 perl-modules-5.36_5.36.0-10 pinentry-curses_1.2.1-3 po-debconf_1.0.21+nmu1 procps_2:4.0.4-2 python-matplotlib-data_3.6.3-1 python3_3.11.4-5 python3-all_3.11.4-5 python3-appdirs_1.4.4-4 python3-asttokens_2.4.1-1 python3-attr_23.2.0-1 python3-backcall_0.2.0-4 python3-brotli_1.1.0-2 python3-certifi_2023.11.17-1 python3-chardet_5.2.0+dfsg-1 python3-charset-normalizer_3.3.2-1 python3-click_8.1.6-1 python3-cloudpickle_3.0.0-1 python3-colorama_0.4.6-4 python3-contourpy_1.0.7-1 python3-cycler_0.11.0-1 python3-dask_2023.8.0+dfsg-2 python3-dateutil_2.8.2-3 python3-decorator_5.1.1-5 python3-dev_3.11.4-5 python3-dill_0.3.7-1 python3-distutils_3.11.5-1 python3-execnet_2.0.0-2 python3-executing_1.2.0-2 python3-fonttools_4.46.0-1 python3-fs_2.4.16-2 python3-fsspec_2023.10.0-1 python3-h5py_3.9.0-5 python3-h5py-serial_3.9.0-5 python3-idna_3.3-2 python3-imageio_2.33.1-1 python3-importlib-metadata_4.12.0-1 python3-iniconfig_1.1.1-2 python3-ipython_8.14.0-2 python3-jedi_0.18.2-1 python3-jinja2_3.1.2-1 python3-joblib_1.3.2-1 python3-kiwisolver_1.4.4-1 python3-lazy-loader_0.3-1 python3-lib2to3_3.11.5-1 python3-llvmlite_0.41.1-1 python3-locket_1.0.0-2 python3-lxml_4.9.3-1 python3-lz4_4.0.2+dfsg-1+b1 python3-markupsafe_2.1.3-1 python3-matplotlib_3.6.3-1 python3-matplotlib-inline_0.1.6-2 python3-minimal_3.11.4-5 python3-mock_4.0.3-4 python3-more-itertools_10.1.0-1 python3-mpmath_1.2.1-2 python3-natsort_8.0.2-2 python3-networkx_2.8.8-1 python3-nose_1.3.7-12 python3-numba_0.57.1+dfsg-1 python3-numexpr_2.8.4-1+rpi1 python3-numpy_1:1.24.2-2 python3-packaging_23.2-1 python3-pandas_1.5.3+dfsg-10 python3-pandas-lib_1.5.3+dfsg-10 python3-parso_0.8.3-1 python3-partd_1.4.1-1 python3-patsy_0.5.4-1 python3-pbr_5.11.1-5 python3-pexpect_4.8.0-4 python3-pickleshare_0.7.5-5 python3-pil_10.1.0-1 python3-pil.imagetk_10.1.0-1 python3-pint_0.19.2-1 python3-pkg-resources_68.1.2-2 python3-pluggy_1.3.0-1 python3-prompt-toolkit_3.0.43-1 python3-ptable_0.9.2-4 python3-ptyprocess_0.7.0-5 python3-pure-eval_0.2.2-1 python3-pyface_8.0.0-1 python3-pygments_2.15.1+dfsg-1 python3-pyparsing_3.1.1-1 python3-pyqt5_5.15.10+dfsg-1 python3-pyqt5.qtopengl_5.15.10+dfsg-1 python3-pyqt5.qtsvg_5.15.10+dfsg-1 python3-pyqt5.qtwebkit_5.15.10+dfsg-1 python3-pyqt5.sip_12.13.0-1 python3-pytest_7.4.3-2 python3-pytest-instafail_0.5.0-1 python3-pytest-mpl_0.16.1-2 python3-pytest-rerunfailures_12.0-1 python3-pytest-runner_2.11.1-4 python3-pytest-xdist_3.4.0-1 python3-requests_2.31.0+dfsg-1 python3-scipy_1.10.1-5+rpi1 python3-setuptools_68.1.2-2 python3-six_1.16.0-4 python3-skimage_0.22.0-3 python3-skimage-lib_0.22.0-3 python3-sklearn_1.2.1+dfsg-1 python3-sklearn-lib_1.2.1+dfsg-1 python3-sparse_0.13.0-1 python3-stack-data_0.6.2-3 python3-statsmodels_0.14.0+dfsg-5+rpi1 python3-statsmodels-lib_0.14.0+dfsg-5+rpi1 python3-sympy_1.12-6 python3-threadpoolctl_3.1.0-1 python3-tifffile_20231209-1 python3-tk_3.11.5-1 python3-toolz_0.12.0-2 python3-tqdm_4.64.1-1 python3-traitlets_5.5.0-2 python3-traits_6.3.2-1+b1 python3-traitsui_8.0.0-1 python3-tz_2023.3.post1-2 python3-ufolib2_0.16.0+dfsg1-1 python3-urllib3_1.26.18-1 python3-wcwidth_0.2.5+dfsg1-1.1 python3-yaml_6.0.1-1 python3-zipp_1.0.0-6 python3-zombie-imp_0.0.2-2 python3.11_3.11.7-2 python3.11-dev_3.11.7-2 python3.11-minimal_3.11.7-2 raspbian-archive-keyring_20120528.2 readline-common_8.2-3 rpcsvc-proto_1.4.3-1 sbuild-build-depends-main-dummy_0.invalid.0 sed_4.9-1 sensible-utils_0.0.20 shared-mime-info_2.4-1 sysvinit-utils_3.08-5 tar_1.34+dfsg-1.3 tk8.6-blt2.5_2.5.3+dfsg-7 tzdata_2023c-11 unicode-data_15.1.0-1 usr-is-merged_38 usrmerge_38 util-linux_2.39.3-2 x11-common_1:7.7+23 xkb-data_2.38-2 xz-utils_5.4.5-0.1 zlib1g_1:1.3.dfsg-3 zlib1g-dev_1:1.3.dfsg-3

+------------------------------------------------------------------------------+
| Build                                                                        |
+------------------------------------------------------------------------------+


Unpack source
-------------

-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA256

Format: 3.0 (quilt)
Source: hyperspy
Binary: python3-hyperspy
Architecture: any
Version: 1.7.3-1
Maintainer: Debian PaN Maintainers <debian-pan-maintainers@alioth-lists.debian.net>
Uploaders:  Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>, Freexian Packaging Team <team+freexian@tracker.debian.org>, Picca Frédéric-Emmanuel <picca@debian.org>
Homepage: https://github.com/hyperspy/hyperspy
Standards-Version: 4.6.0
Vcs-Browser: https://salsa.debian.org/science-team/hyperspy
Vcs-Git: https://salsa.debian.org/science-team/hyperspy.git
Build-Depends: debhelper (>= 12), dh-python, python3-all, python3-dev, python3-dask, python3-dateutil, python3-dill, python3-h5py, python3-imageio, python3-importlib-metadata, python3-ipython, python3-matplotlib, python3-mock, python3-natsort, python3-numba, python3-numexpr, python3-numpy, python3-pint, python3-ptable, python3-pytest, python3-pytest-instafail, python3-pytest-mpl, python3-pytest-rerunfailures, python3-pytest-runner, python3-pytest-xdist, python3-yaml, python3-requests, python3-scipy, python3-setuptools, python3-skimage, python3-sklearn, python3-sparse, python3-statsmodels, python3-sympy, python3-tqdm, python3-traits, python3-traitsui
Package-List:
 python3-hyperspy deb python optional arch=any
Checksums-Sha1:
 8e0c12ca1a6a18bb8c297ece182d234c6cc2ecfe 46334973 hyperspy_1.7.3.orig.tar.gz
 02a1a48095926254717b7cd33da8a9ef2bd12d8a 3960 hyperspy_1.7.3-1.debian.tar.xz
Checksums-Sha256:
 a5d981ce98b91ada014db6e6119a40c2d54d2f7dd96ff1026159ba0cca57175c 46334973 hyperspy_1.7.3.orig.tar.gz
 0351011a6c1e282dc998e78c1c22bc73515a260527cd155979773d311febded1 3960 hyperspy_1.7.3-1.debian.tar.xz
Files:
 43473fc0e868176a41900b5d6df20cee 46334973 hyperspy_1.7.3.orig.tar.gz
 375b8b91208f93eea30f9f1984910c65 3960 hyperspy_1.7.3-1.debian.tar.xz

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gpgv: Signature made Tue Feb  7 07:32:56 2023 UTC
gpgv:                using RSA key 2490211AD036087E6D1D9A92D0FF49CBE3F4FB68
gpgv:                issuer "enrico@debian.org"
gpgv: Can't check signature: No public key
dpkg-source: warning: cannot verify inline signature for ./hyperspy_1.7.3-1.dsc: no acceptable signature found
dpkg-source: info: extracting hyperspy in /<<PKGBUILDDIR>>
dpkg-source: info: unpacking hyperspy_1.7.3.orig.tar.gz
dpkg-source: info: unpacking hyperspy_1.7.3-1.debian.tar.xz
dpkg-source: info: using patch list from debian/patches/series
dpkg-source: info: applying fix-typo-import-scipy-datasets.diff

Check disk space
----------------

Sufficient free space for build

User Environment
----------------

APT_CONFIG=/var/lib/sbuild/apt.conf
DEB_BUILD_OPTIONS=parallel=4
HOME=/sbuild-nonexistent
LANG=en_GB.UTF-8
LC_ALL=C.UTF-8
LOGNAME=buildd
PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games
SCHROOT_ALIAS_NAME=trixie-staging-armhf-sbuild
SCHROOT_CHROOT_NAME=trixie-staging-armhf-sbuild
SCHROOT_COMMAND=env
SCHROOT_GID=124
SCHROOT_GROUP=buildd
SCHROOT_SESSION_ID=trixie-staging-armhf-sbuild-a47d13d1-7fcc-424d-b5f3-bdea6811c5ac
SCHROOT_UID=114
SCHROOT_USER=buildd
SHELL=/bin/sh
USER=buildd

dpkg-buildpackage
-----------------

Command: dpkg-buildpackage --sanitize-env -us -uc -mRaspbian pi5 test autobuilder <root@raspbian.org> -B -rfakeroot
dpkg-buildpackage: info: source package hyperspy
dpkg-buildpackage: info: source version 1.7.3-1
dpkg-buildpackage: info: source distribution unstable
 dpkg-source --before-build .
dpkg-buildpackage: info: host architecture armhf
dpkg-source: info: using options from hyperspy-1.7.3/debian/source/options: --extend-diff-ignore=^hyperspy/misc/etc/test_compilers.o$ --extend-diff-ignore=^hyperspy/io_plugins/unbcf_fast.c$
 fakeroot debian/rules clean
dh clean --with python3 --buildsystem=pybuild
   dh_auto_clean -O--buildsystem=pybuild
I: pybuild base:305: python3.11 setup.py clean 
/<<PKGBUILDDIR>>/setup.py:170: UserWarning: WARNING: cython required to generate fast c code is not found on this system.
Only slow pure python alternative functions will be available.
To use fast implementation of some functions writen in cython either:
a) install cython and re-run the installation,
b) try alternative source distribution containing cythonized C versions of fast code,
c) use binary distribution (i.e. wheels, egg).
  warnings.warn("""WARNING: cython required to generate fast c code is not found on this system.
running clean
removing '/<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build' (and everything under it)
'build/bdist.linux-armv7l' does not exist -- can't clean it
'build/scripts-3.11' does not exist -- can't clean it
   dh_autoreconf_clean -O--buildsystem=pybuild
   dh_clean -O--buildsystem=pybuild
 debian/rules build-arch
dh build-arch --with python3 --buildsystem=pybuild
   dh_update_autotools_config -a -O--buildsystem=pybuild
   dh_autoreconf -a -O--buildsystem=pybuild
   dh_auto_configure -a -O--buildsystem=pybuild
I: pybuild base:305: python3.11 setup.py config 
/<<PKGBUILDDIR>>/setup.py:170: UserWarning: WARNING: cython required to generate fast c code is not found on this system.
Only slow pure python alternative functions will be available.
To use fast implementation of some functions writen in cython either:
a) install cython and re-run the installation,
b) try alternative source distribution containing cythonized C versions of fast code,
c) use binary distribution (i.e. wheels, egg).
  warnings.warn("""WARNING: cython required to generate fast c code is not found on this system.
running config
   dh_auto_build -a -O--buildsystem=pybuild
I: pybuild base:305: /usr/bin/python3 setup.py build 
/<<PKGBUILDDIR>>/setup.py:170: UserWarning: WARNING: cython required to generate fast c code is not found on this system.
Only slow pure python alternative functions will be available.
To use fast implementation of some functions writen in cython either:
a) install cython and re-run the installation,
b) try alternative source distribution containing cythonized C versions of fast code,
c) use binary distribution (i.e. wheels, egg).
  warnings.warn("""WARNING: cython required to generate fast c code is not found on this system.
running build
running build_py
creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/Release.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/__init__.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/_lazy_signals.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/api.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/api_nogui.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/axes.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/component.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/components1d.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/components2d.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/conftest.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/decorators.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/defaults_parser.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/events.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/exceptions.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/extensions.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/interactive.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/io.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/logger.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/model.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/roi.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/samfire.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/signal.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/signal_tools.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/signals.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
copying hyperspy/ui_registry.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/datasets
copying hyperspy/datasets/__init__.py -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/datasets
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creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/plot_signal1d
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creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/plot_signal2d
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copying hyperspy/tests/io/dm4_2D_data/test-8.dm4 -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/dm4_2D_data
copying hyperspy/tests/io/dm4_2D_data/test-9.dm4 -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/dm4_2D_data
copying hyperspy/tests/io/dm4_2D_data/test-MonarcCL_mono-image.dm4 -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/dm4_2D_data
copying hyperspy/tests/io/dm4_2D_data/test-MonarcCL_spectrum-SI.dm4 -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/dm4_2D_data
copying hyperspy/tests/io/dm4_2D_data/test-MonoCL_spectrum-SI.dm4 -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/dm4_2D_data
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copying hyperspy/tests/io/dm4_3D_data/test-12.dm4 -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/dm4_3D_data
copying hyperspy/tests/io/dm4_3D_data/test-13.dm4 -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/dm4_3D_data
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copying hyperspy/tests/io/dm4_3D_data/test-3.dm4 -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/dm4_3D_data
copying hyperspy/tests/io/dm4_3D_data/test-5.dm4 -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/dm4_3D_data
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copying hyperspy/tests/io/dm3_locale/Fei HAADF-FR_location.dm3 -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/dm3_locale
copying hyperspy/tests/io/dm3_locale/Fei HAADF-MX_location.dm3 -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/dm3_locale
copying hyperspy/tests/io/dm3_locale/Fei HAADF-UK_location.dm3 -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/dm3_locale
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copying hyperspy/tests/io/FEI_old/X - Au NP EELS_2.ser -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/FEI_old
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copying hyperspy/tests/io/emd_files/example_object_dtype_data.emd -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/emd_files
copying hyperspy/tests/io/emd_files/example_signal.emd -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/emd_files
copying hyperspy/tests/io/emd_files/example_spectrum.emd -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/emd_files
copying hyperspy/tests/io/emd_files/fei_example_complex_fft.emd -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/emd_files
copying hyperspy/tests/io/emd_files/fei_example_dpc_titles.emd -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/emd_files
copying hyperspy/tests/io/emd_files/fei_example_tem_stack.emd -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/emd_files
copying hyperspy/tests/io/emd_files/fei_emd_files.zip -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/emd_files
creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/protochips_data
copying hyperspy/tests/io/protochips_data/protochips_electrical.npy -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/protochips_data
copying hyperspy/tests/io/protochips_data/protochips_electrothermal.npy -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/protochips_data
copying hyperspy/tests/io/protochips_data/protochips_gas_cell.npy -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/protochips_data
copying hyperspy/tests/io/protochips_data/protochips_thermal.npy -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/protochips_data
copying hyperspy/tests/io/protochips_data/invalid_protochips_file.csv -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/protochips_data
copying hyperspy/tests/io/protochips_data/protochips_electrical.csv -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/protochips_data
copying hyperspy/tests/io/protochips_data/protochips_electrothermal.csv -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/protochips_data
copying hyperspy/tests/io/protochips_data/protochips_gas_cell.csv -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/protochips_data
copying hyperspy/tests/io/protochips_data/protochips_gas_cell_no_user.csv -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/protochips_data
copying hyperspy/tests/io/protochips_data/protochips_thermal.csv -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/protochips_data
copying hyperspy/tests/io/protochips_data/random_csv_file.csv -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/protochips_data
creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/nexus_files
copying hyperspy/tests/io/nexus_files/nexus_dls_example.nxs -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/nexus_files
copying hyperspy/tests/io/nexus_files/nexus_dls_example_no_axes.nxs -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/nexus_files
copying hyperspy/tests/io/nexus_files/nexus_test_datakey.nxs -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/nexus_files
copying hyperspy/tests/io/nexus_files/saved_multi_signal.nxs -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/nexus_files
copying hyperspy/tests/io/nexus_files/simple_signal.nxs -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/nexus_files
creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/empad_data
copying hyperspy/tests/io/empad_data/map128x128_version1.2.0.xml -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/empad_data
copying hyperspy/tests/io/empad_data/map4x4.xml -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/empad_data
copying hyperspy/tests/io/empad_data/stack_images.xml -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/empad_data
creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/phenom_data
copying hyperspy/tests/io/phenom_data/Elid2Version0.elid -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/phenom_data
copying hyperspy/tests/io/phenom_data/Elid2Version1.elid -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/phenom_data
copying hyperspy/tests/io/phenom_data/Elid2Version2.elid -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/phenom_data
creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/sur_data
copying hyperspy/tests/io/sur_data/test_profile.pro -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/sur_data
copying hyperspy/tests/io/sur_data/test_spectra.pro -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/sur_data
copying hyperspy/tests/io/sur_data/test_spectrum.pro -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/sur_data
copying hyperspy/tests/io/sur_data/test_spectrum_compressed.pro -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/sur_data
copying hyperspy/tests/io/sur_data/test_RGB.sur -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/sur_data
copying hyperspy/tests/io/sur_data/test_spectral_map.sur -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/sur_data
copying hyperspy/tests/io/sur_data/test_spectral_map_compressed.sur -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/sur_data
copying hyperspy/tests/io/sur_data/test_surface.sur -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/sur_data
creating /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/data
copying hyperspy/tests/signals/data/test_find_peaks1D_ohaver.hdf5 -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/data
copying hyperspy/tests/signals/data/EELS_LL_linescan_simulated_thickness_variation.hspy -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/data
copying hyperspy/tests/signals/data/EELS_ZLP_linescan_simulated_thickness_variation.hspy -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/data
copying hyperspy/hyperspy_extension.yaml -> /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy
   dh_auto_test -a -O--buildsystem=pybuild
I: pybuild base:305: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build; python3.11 -m pytest --ignore hyperspy/tests/drawing/test_plot_markers.py --ignore hyperspy/tests/drawing/test_plot_signal1d.py --ignore hyperspy/tests/drawing/test_plot_signal2d.py
============================= test session starts ==============================
platform linux -- Python 3.11.7, pytest-7.4.3, pluggy-1.3.0
Matplotlib: 3.6.3
Freetype: 2.13.2
rootdir: /<<PKGBUILDDIR>>
configfile: setup.cfg
plugins: instafail-0.5.0, mpl-0.0.0, rerunfailures-12.0, xdist-3.4.0
created: 4/4 workers
4 workers [4987 items]

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=================================== FAILURES ===================================
__________________ test_save_load_cycle_grayscale[bmp-uint32] __________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

im = <PIL.Image.Image image mode=I size=128x128 at 0xCE7D9DF0>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_grayscale3/test_image.bmp'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_grayscale3/test_image.bmp'
bitmap_header = True

    def _save(im, fp, filename, bitmap_header=True):
        try:
>           rawmode, bits, colors = SAVE[im.mode]
E           KeyError: 'I'

/usr/lib/python3/dist-packages/PIL/BmpImagePlugin.py:389: KeyError

The above exception was the direct cause of the following exception:

dtype = 'uint32', ext = 'bmp'
tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_grayscale3')

    @pytest.mark.parametrize(("dtype"), ['uint8', 'uint32'])
    @pytest.mark.parametrize(("ext"), ['png', 'bmp', 'gif', 'jpg'])
    def test_save_load_cycle_grayscale(dtype, ext, tmp_path):
        s = hs.signals.Signal2D(np.arange(128*128).reshape(128, 128).astype(dtype))
    
        print('Saving-loading cycle for the extension:', ext)
        filename = tmp_path / f'test_image.{ext}'
>       s.save(filename)

hyperspy/tests/io/test_image.py:39: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:396: in imwrite
    with imopen(uri, "wi", **imopen_args) as file:
/usr/lib/python3/dist-packages/imageio/core/v3_plugin_api.py:367: in __exit__
    self.close()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:144: in close
    self._flush_writer()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:485: in _flush_writer
    primary_image.save(self._request.get_file(), **self.save_args)
/usr/lib/python3/dist-packages/PIL/Image.py:2438: in save
    save_handler(self, fp, filename)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

im = <PIL.Image.Image image mode=I size=128x128 at 0xCE7D9DF0>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_grayscale3/test_image.bmp'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_grayscale3/test_image.bmp'
bitmap_header = True

    def _save(im, fp, filename, bitmap_header=True):
        try:
            rawmode, bits, colors = SAVE[im.mode]
        except KeyError as e:
            msg = f"cannot write mode {im.mode} as BMP"
>           raise OSError(msg) from e
E           OSError: cannot write mode I as BMP

/usr/lib/python3/dist-packages/PIL/BmpImagePlugin.py:392: OSError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
----------------------------- Captured stdout call -----------------------------
Saving-loading cycle for the extension: bmp
__________________ test_save_load_cycle_grayscale[jpg-uint32] __________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

im = <PIL.Image.Image image mode=I size=128x128 at 0xCE7C8270>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_grayscale7/test_image.jpg'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_grayscale7/test_image.jpg'

    def _save(im, fp, filename):
        if im.width == 0 or im.height == 0:
            msg = "cannot write empty image as JPEG"
            raise ValueError(msg)
    
        try:
>           rawmode = RAWMODE[im.mode]
E           KeyError: 'I'

/usr/lib/python3/dist-packages/PIL/JpegImagePlugin.py:647: KeyError

The above exception was the direct cause of the following exception:

dtype = 'uint32', ext = 'jpg'
tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_grayscale7')

    @pytest.mark.parametrize(("dtype"), ['uint8', 'uint32'])
    @pytest.mark.parametrize(("ext"), ['png', 'bmp', 'gif', 'jpg'])
    def test_save_load_cycle_grayscale(dtype, ext, tmp_path):
        s = hs.signals.Signal2D(np.arange(128*128).reshape(128, 128).astype(dtype))
    
        print('Saving-loading cycle for the extension:', ext)
        filename = tmp_path / f'test_image.{ext}'
>       s.save(filename)

hyperspy/tests/io/test_image.py:39: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:396: in imwrite
    with imopen(uri, "wi", **imopen_args) as file:
/usr/lib/python3/dist-packages/imageio/core/v3_plugin_api.py:367: in __exit__
    self.close()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:144: in close
    self._flush_writer()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:485: in _flush_writer
    primary_image.save(self._request.get_file(), **self.save_args)
/usr/lib/python3/dist-packages/PIL/Image.py:2438: in save
    save_handler(self, fp, filename)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

im = <PIL.Image.Image image mode=I size=128x128 at 0xCE7C8270>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_grayscale7/test_image.jpg'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_grayscale7/test_image.jpg'

    def _save(im, fp, filename):
        if im.width == 0 or im.height == 0:
            msg = "cannot write empty image as JPEG"
            raise ValueError(msg)
    
        try:
            rawmode = RAWMODE[im.mode]
        except KeyError as e:
            msg = f"cannot write mode {im.mode} as JPEG"
>           raise OSError(msg) from e
E           OSError: cannot write mode I as JPEG

/usr/lib/python3/dist-packages/PIL/JpegImagePlugin.py:650: OSError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
----------------------------- Captured stdout call -----------------------------
Saving-loading cycle for the extension: jpg
___________________________ test_file_reader_warning ___________________________
[gw2] linux -- Python 3.11.7 /usr/bin/python3.11

caplog = <_pytest.logging.LogCaptureFixture object at 0xd1f75cd0>

    def test_file_reader_warning(caplog):
        # Test fallback to Pillow imaging library
        s = Signal1D(np.arange(10))
    
        with tempfile.TemporaryDirectory() as dirpath:
            f = os.path.join(dirpath, "temp.hspy")
            s.save(f)
    
            with pytest.raises(ValueError, match="Could not load"):
                with caplog.at_level(logging.WARNING):
>                   _ = hs.load(f, reader="some_unknown_file_extension")

hyperspy/tests/io/test_io.py:215: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/io.py:466: in load
    objects = [load_single_file(filename, lazy=lazy, **kwds)
hyperspy/io.py:466: in <listcomp>
    objects = [load_single_file(filename, lazy=lazy, **kwds)
hyperspy/io.py:525: in load_single_file
    return load_with_reader(filename=filename, reader=reader, **kwds)
hyperspy/io.py:545: in load_with_reader
    file_data_list = reader.file_reader(filename, **kwds)
hyperspy/io_plugins/image.py:192: in file_reader
    dc = _read_data(filename, **kwds)
hyperspy/io_plugins/image.py:212: in _read_data
    dc = imread(filename)
/usr/lib/python3/dist-packages/imageio/__init__.py:97: in imread
    return imread_v2(uri, format=format, **kwargs)
/usr/lib/python3/dist-packages/imageio/v2.py:360: in imread
    result = file.read(index=0, **kwargs)
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:252: in read
    image = self._apply_transforms(
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:333: in _apply_transforms
    image = np.asarray(image)
/usr/lib/python3/dist-packages/PIL/Image.py:678: in __array_interface__
    new["data"] = self.tobytes()
/usr/lib/python3/dist-packages/PIL/Image.py:737: in tobytes
    self.load()
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <PIL.Hdf5StubImagePlugin.HDF5StubImageFile image mode=F size=1x1 at 0xD1F15130>

    def load(self):
        loader = self._load()
        if loader is None:
            msg = f"cannot find loader for this {self.format} file"
>           raise OSError(msg)
E           OSError: cannot find loader for this HDF5 file

/usr/lib/python3/dist-packages/PIL/ImageFile.py:344: OSError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
------------------------------ Captured log call -------------------------------
WARNING  hyperspy.io:io.py:82 Unable to infer file type from extension 'some_unknown_file_extension'. Will attempt to load the file with the Python imaging library.
ERROR    hyperspy.io:io.py:528 If this file format is supported, please report this error to the HyperSpy developers.
____________________ test_save_load_cycle_color[png-rgb16] _____________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

obj = array([[[    0,     1,     2],
        [    3,     4,     5],
        [    6,     7,     8],
        ...,
        [  3...      ...,
        [49143, 49144, 49145],
        [49146, 49147, 49148],
        [49149, 49150, 49151]]], dtype=uint16)
mode = None

    def fromarray(obj, mode=None):
        """
        Creates an image memory from an object exporting the array interface
        (using the buffer protocol)::
    
          from PIL import Image
          import numpy as np
          a = np.zeros((5, 5))
          im = Image.fromarray(a)
    
        If ``obj`` is not contiguous, then the ``tobytes`` method is called
        and :py:func:`~PIL.Image.frombuffer` is used.
    
        In the case of NumPy, be aware that Pillow modes do not always correspond
        to NumPy dtypes. Pillow modes only offer 1-bit pixels, 8-bit pixels,
        32-bit signed integer pixels, and 32-bit floating point pixels.
    
        Pillow images can also be converted to arrays::
    
          from PIL import Image
          import numpy as np
          im = Image.open("hopper.jpg")
          a = np.asarray(im)
    
        When converting Pillow images to arrays however, only pixel values are
        transferred. This means that P and PA mode images will lose their palette.
    
        :param obj: Object with array interface
        :param mode: Optional mode to use when reading ``obj``. Will be determined from
          type if ``None``.
    
          This will not be used to convert the data after reading, but will be used to
          change how the data is read::
    
            from PIL import Image
            import numpy as np
            a = np.full((1, 1), 300)
            im = Image.fromarray(a, mode="L")
            im.getpixel((0, 0))  # 44
            im = Image.fromarray(a, mode="RGB")
            im.getpixel((0, 0))  # (44, 1, 0)
    
          See: :ref:`concept-modes` for general information about modes.
        :returns: An image object.
    
        .. versionadded:: 1.1.6
        """
        arr = obj.__array_interface__
        shape = arr["shape"]
        ndim = len(shape)
        strides = arr.get("strides", None)
        if mode is None:
            try:
                typekey = (1, 1) + shape[2:], arr["typestr"]
            except KeyError as e:
                msg = "Cannot handle this data type"
                raise TypeError(msg) from e
            try:
>               mode, rawmode = _fromarray_typemap[typekey]
E               KeyError: ((1, 1, 3), '<u2')

/usr/lib/python3/dist-packages/PIL/Image.py:3095: KeyError

The above exception was the direct cause of the following exception:

color = 'rgb16', ext = 'png'
tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_color_png2')

    @pytest.mark.parametrize(("color"), ['rgb8', 'rgba8', 'rgb16', 'rgba16'])
    @pytest.mark.parametrize(("ext"), ['png', 'bmp', 'gif', 'jpeg'])
    def test_save_load_cycle_color(color, ext, tmp_path):
        dim = 4 if "rgba" in color else 3
        dtype = 'uint8' if "8" in color else 'uint16'
        if dim == 4 and ext == 'jpeg':
            # JPEG does not support alpha channel.
            return
        print('color:', color, '; dim:', dim, '; dtype:', dtype)
        s = hs.signals.Signal1D(np.arange(128*128*dim).reshape(128, 128, dim).astype(dtype))
        s.change_dtype(color)
    
        print('Saving-loading cycle for the extension:', ext)
        filename = tmp_path / f'test_image.{ext}'
>       s.save(filename)

hyperspy/tests/io/test_image.py:57: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:397: in imwrite
    return file.write(im, **kwargs)
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:444: in write
    pil_frame = Image.fromarray(frame, mode=mode)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

obj = array([[[    0,     1,     2],
        [    3,     4,     5],
        [    6,     7,     8],
        ...,
        [  3...      ...,
        [49143, 49144, 49145],
        [49146, 49147, 49148],
        [49149, 49150, 49151]]], dtype=uint16)
mode = None

    def fromarray(obj, mode=None):
        """
        Creates an image memory from an object exporting the array interface
        (using the buffer protocol)::
    
          from PIL import Image
          import numpy as np
          a = np.zeros((5, 5))
          im = Image.fromarray(a)
    
        If ``obj`` is not contiguous, then the ``tobytes`` method is called
        and :py:func:`~PIL.Image.frombuffer` is used.
    
        In the case of NumPy, be aware that Pillow modes do not always correspond
        to NumPy dtypes. Pillow modes only offer 1-bit pixels, 8-bit pixels,
        32-bit signed integer pixels, and 32-bit floating point pixels.
    
        Pillow images can also be converted to arrays::
    
          from PIL import Image
          import numpy as np
          im = Image.open("hopper.jpg")
          a = np.asarray(im)
    
        When converting Pillow images to arrays however, only pixel values are
        transferred. This means that P and PA mode images will lose their palette.
    
        :param obj: Object with array interface
        :param mode: Optional mode to use when reading ``obj``. Will be determined from
          type if ``None``.
    
          This will not be used to convert the data after reading, but will be used to
          change how the data is read::
    
            from PIL import Image
            import numpy as np
            a = np.full((1, 1), 300)
            im = Image.fromarray(a, mode="L")
            im.getpixel((0, 0))  # 44
            im = Image.fromarray(a, mode="RGB")
            im.getpixel((0, 0))  # (44, 1, 0)
    
          See: :ref:`concept-modes` for general information about modes.
        :returns: An image object.
    
        .. versionadded:: 1.1.6
        """
        arr = obj.__array_interface__
        shape = arr["shape"]
        ndim = len(shape)
        strides = arr.get("strides", None)
        if mode is None:
            try:
                typekey = (1, 1) + shape[2:], arr["typestr"]
            except KeyError as e:
                msg = "Cannot handle this data type"
                raise TypeError(msg) from e
            try:
                mode, rawmode = _fromarray_typemap[typekey]
            except KeyError as e:
                msg = "Cannot handle this data type: %s, %s" % typekey
>               raise TypeError(msg) from e
E               TypeError: Cannot handle this data type: (1, 1, 3), <u2

/usr/lib/python3/dist-packages/PIL/Image.py:3098: TypeError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
----------------------------- Captured stdout call -----------------------------
color: rgb16 ; dim: 3 ; dtype: uint16
Saving-loading cycle for the extension: png
____________________ test_save_load_cycle_color[png-rgba16] ____________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

obj = array([[[    0,     1,     2,     3],
        [    4,     5,     6,     7],
        [    8,     9,    10,    11],
    ...5524, 65525, 65526, 65527],
        [65528, 65529, 65530, 65531],
        [65532, 65533, 65534, 65535]]], dtype=uint16)
mode = None

    def fromarray(obj, mode=None):
        """
        Creates an image memory from an object exporting the array interface
        (using the buffer protocol)::
    
          from PIL import Image
          import numpy as np
          a = np.zeros((5, 5))
          im = Image.fromarray(a)
    
        If ``obj`` is not contiguous, then the ``tobytes`` method is called
        and :py:func:`~PIL.Image.frombuffer` is used.
    
        In the case of NumPy, be aware that Pillow modes do not always correspond
        to NumPy dtypes. Pillow modes only offer 1-bit pixels, 8-bit pixels,
        32-bit signed integer pixels, and 32-bit floating point pixels.
    
        Pillow images can also be converted to arrays::
    
          from PIL import Image
          import numpy as np
          im = Image.open("hopper.jpg")
          a = np.asarray(im)
    
        When converting Pillow images to arrays however, only pixel values are
        transferred. This means that P and PA mode images will lose their palette.
    
        :param obj: Object with array interface
        :param mode: Optional mode to use when reading ``obj``. Will be determined from
          type if ``None``.
    
          This will not be used to convert the data after reading, but will be used to
          change how the data is read::
    
            from PIL import Image
            import numpy as np
            a = np.full((1, 1), 300)
            im = Image.fromarray(a, mode="L")
            im.getpixel((0, 0))  # 44
            im = Image.fromarray(a, mode="RGB")
            im.getpixel((0, 0))  # (44, 1, 0)
    
          See: :ref:`concept-modes` for general information about modes.
        :returns: An image object.
    
        .. versionadded:: 1.1.6
        """
        arr = obj.__array_interface__
        shape = arr["shape"]
        ndim = len(shape)
        strides = arr.get("strides", None)
        if mode is None:
            try:
                typekey = (1, 1) + shape[2:], arr["typestr"]
            except KeyError as e:
                msg = "Cannot handle this data type"
                raise TypeError(msg) from e
            try:
>               mode, rawmode = _fromarray_typemap[typekey]
E               KeyError: ((1, 1, 4), '<u2')

/usr/lib/python3/dist-packages/PIL/Image.py:3095: KeyError

The above exception was the direct cause of the following exception:

color = 'rgba16', ext = 'png'
tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_color_png3')

    @pytest.mark.parametrize(("color"), ['rgb8', 'rgba8', 'rgb16', 'rgba16'])
    @pytest.mark.parametrize(("ext"), ['png', 'bmp', 'gif', 'jpeg'])
    def test_save_load_cycle_color(color, ext, tmp_path):
        dim = 4 if "rgba" in color else 3
        dtype = 'uint8' if "8" in color else 'uint16'
        if dim == 4 and ext == 'jpeg':
            # JPEG does not support alpha channel.
            return
        print('color:', color, '; dim:', dim, '; dtype:', dtype)
        s = hs.signals.Signal1D(np.arange(128*128*dim).reshape(128, 128, dim).astype(dtype))
        s.change_dtype(color)
    
        print('Saving-loading cycle for the extension:', ext)
        filename = tmp_path / f'test_image.{ext}'
>       s.save(filename)

hyperspy/tests/io/test_image.py:57: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:397: in imwrite
    return file.write(im, **kwargs)
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:444: in write
    pil_frame = Image.fromarray(frame, mode=mode)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

obj = array([[[    0,     1,     2,     3],
        [    4,     5,     6,     7],
        [    8,     9,    10,    11],
    ...5524, 65525, 65526, 65527],
        [65528, 65529, 65530, 65531],
        [65532, 65533, 65534, 65535]]], dtype=uint16)
mode = None

    def fromarray(obj, mode=None):
        """
        Creates an image memory from an object exporting the array interface
        (using the buffer protocol)::
    
          from PIL import Image
          import numpy as np
          a = np.zeros((5, 5))
          im = Image.fromarray(a)
    
        If ``obj`` is not contiguous, then the ``tobytes`` method is called
        and :py:func:`~PIL.Image.frombuffer` is used.
    
        In the case of NumPy, be aware that Pillow modes do not always correspond
        to NumPy dtypes. Pillow modes only offer 1-bit pixels, 8-bit pixels,
        32-bit signed integer pixels, and 32-bit floating point pixels.
    
        Pillow images can also be converted to arrays::
    
          from PIL import Image
          import numpy as np
          im = Image.open("hopper.jpg")
          a = np.asarray(im)
    
        When converting Pillow images to arrays however, only pixel values are
        transferred. This means that P and PA mode images will lose their palette.
    
        :param obj: Object with array interface
        :param mode: Optional mode to use when reading ``obj``. Will be determined from
          type if ``None``.
    
          This will not be used to convert the data after reading, but will be used to
          change how the data is read::
    
            from PIL import Image
            import numpy as np
            a = np.full((1, 1), 300)
            im = Image.fromarray(a, mode="L")
            im.getpixel((0, 0))  # 44
            im = Image.fromarray(a, mode="RGB")
            im.getpixel((0, 0))  # (44, 1, 0)
    
          See: :ref:`concept-modes` for general information about modes.
        :returns: An image object.
    
        .. versionadded:: 1.1.6
        """
        arr = obj.__array_interface__
        shape = arr["shape"]
        ndim = len(shape)
        strides = arr.get("strides", None)
        if mode is None:
            try:
                typekey = (1, 1) + shape[2:], arr["typestr"]
            except KeyError as e:
                msg = "Cannot handle this data type"
                raise TypeError(msg) from e
            try:
                mode, rawmode = _fromarray_typemap[typekey]
            except KeyError as e:
                msg = "Cannot handle this data type: %s, %s" % typekey
>               raise TypeError(msg) from e
E               TypeError: Cannot handle this data type: (1, 1, 4), <u2

/usr/lib/python3/dist-packages/PIL/Image.py:3098: TypeError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
----------------------------- Captured stdout call -----------------------------
color: rgba16 ; dim: 4 ; dtype: uint16
Saving-loading cycle for the extension: png
____________________ test_save_load_cycle_color[bmp-rgb16] _____________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

obj = array([[[    0,     1,     2],
        [    3,     4,     5],
        [    6,     7,     8],
        ...,
        [  3...      ...,
        [49143, 49144, 49145],
        [49146, 49147, 49148],
        [49149, 49150, 49151]]], dtype=uint16)
mode = None

    def fromarray(obj, mode=None):
        """
        Creates an image memory from an object exporting the array interface
        (using the buffer protocol)::
    
          from PIL import Image
          import numpy as np
          a = np.zeros((5, 5))
          im = Image.fromarray(a)
    
        If ``obj`` is not contiguous, then the ``tobytes`` method is called
        and :py:func:`~PIL.Image.frombuffer` is used.
    
        In the case of NumPy, be aware that Pillow modes do not always correspond
        to NumPy dtypes. Pillow modes only offer 1-bit pixels, 8-bit pixels,
        32-bit signed integer pixels, and 32-bit floating point pixels.
    
        Pillow images can also be converted to arrays::
    
          from PIL import Image
          import numpy as np
          im = Image.open("hopper.jpg")
          a = np.asarray(im)
    
        When converting Pillow images to arrays however, only pixel values are
        transferred. This means that P and PA mode images will lose their palette.
    
        :param obj: Object with array interface
        :param mode: Optional mode to use when reading ``obj``. Will be determined from
          type if ``None``.
    
          This will not be used to convert the data after reading, but will be used to
          change how the data is read::
    
            from PIL import Image
            import numpy as np
            a = np.full((1, 1), 300)
            im = Image.fromarray(a, mode="L")
            im.getpixel((0, 0))  # 44
            im = Image.fromarray(a, mode="RGB")
            im.getpixel((0, 0))  # (44, 1, 0)
    
          See: :ref:`concept-modes` for general information about modes.
        :returns: An image object.
    
        .. versionadded:: 1.1.6
        """
        arr = obj.__array_interface__
        shape = arr["shape"]
        ndim = len(shape)
        strides = arr.get("strides", None)
        if mode is None:
            try:
                typekey = (1, 1) + shape[2:], arr["typestr"]
            except KeyError as e:
                msg = "Cannot handle this data type"
                raise TypeError(msg) from e
            try:
>               mode, rawmode = _fromarray_typemap[typekey]
E               KeyError: ((1, 1, 3), '<u2')

/usr/lib/python3/dist-packages/PIL/Image.py:3095: KeyError

The above exception was the direct cause of the following exception:

color = 'rgb16', ext = 'bmp'
tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_color_bmp2')

    @pytest.mark.parametrize(("color"), ['rgb8', 'rgba8', 'rgb16', 'rgba16'])
    @pytest.mark.parametrize(("ext"), ['png', 'bmp', 'gif', 'jpeg'])
    def test_save_load_cycle_color(color, ext, tmp_path):
        dim = 4 if "rgba" in color else 3
        dtype = 'uint8' if "8" in color else 'uint16'
        if dim == 4 and ext == 'jpeg':
            # JPEG does not support alpha channel.
            return
        print('color:', color, '; dim:', dim, '; dtype:', dtype)
        s = hs.signals.Signal1D(np.arange(128*128*dim).reshape(128, 128, dim).astype(dtype))
        s.change_dtype(color)
    
        print('Saving-loading cycle for the extension:', ext)
        filename = tmp_path / f'test_image.{ext}'
>       s.save(filename)

hyperspy/tests/io/test_image.py:57: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:397: in imwrite
    return file.write(im, **kwargs)
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:444: in write
    pil_frame = Image.fromarray(frame, mode=mode)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

obj = array([[[    0,     1,     2],
        [    3,     4,     5],
        [    6,     7,     8],
        ...,
        [  3...      ...,
        [49143, 49144, 49145],
        [49146, 49147, 49148],
        [49149, 49150, 49151]]], dtype=uint16)
mode = None

    def fromarray(obj, mode=None):
        """
        Creates an image memory from an object exporting the array interface
        (using the buffer protocol)::
    
          from PIL import Image
          import numpy as np
          a = np.zeros((5, 5))
          im = Image.fromarray(a)
    
        If ``obj`` is not contiguous, then the ``tobytes`` method is called
        and :py:func:`~PIL.Image.frombuffer` is used.
    
        In the case of NumPy, be aware that Pillow modes do not always correspond
        to NumPy dtypes. Pillow modes only offer 1-bit pixels, 8-bit pixels,
        32-bit signed integer pixels, and 32-bit floating point pixels.
    
        Pillow images can also be converted to arrays::
    
          from PIL import Image
          import numpy as np
          im = Image.open("hopper.jpg")
          a = np.asarray(im)
    
        When converting Pillow images to arrays however, only pixel values are
        transferred. This means that P and PA mode images will lose their palette.
    
        :param obj: Object with array interface
        :param mode: Optional mode to use when reading ``obj``. Will be determined from
          type if ``None``.
    
          This will not be used to convert the data after reading, but will be used to
          change how the data is read::
    
            from PIL import Image
            import numpy as np
            a = np.full((1, 1), 300)
            im = Image.fromarray(a, mode="L")
            im.getpixel((0, 0))  # 44
            im = Image.fromarray(a, mode="RGB")
            im.getpixel((0, 0))  # (44, 1, 0)
    
          See: :ref:`concept-modes` for general information about modes.
        :returns: An image object.
    
        .. versionadded:: 1.1.6
        """
        arr = obj.__array_interface__
        shape = arr["shape"]
        ndim = len(shape)
        strides = arr.get("strides", None)
        if mode is None:
            try:
                typekey = (1, 1) + shape[2:], arr["typestr"]
            except KeyError as e:
                msg = "Cannot handle this data type"
                raise TypeError(msg) from e
            try:
                mode, rawmode = _fromarray_typemap[typekey]
            except KeyError as e:
                msg = "Cannot handle this data type: %s, %s" % typekey
>               raise TypeError(msg) from e
E               TypeError: Cannot handle this data type: (1, 1, 3), <u2

/usr/lib/python3/dist-packages/PIL/Image.py:3098: TypeError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
----------------------------- Captured stdout call -----------------------------
color: rgb16 ; dim: 3 ; dtype: uint16
Saving-loading cycle for the extension: bmp
____________________ test_save_load_cycle_color[bmp-rgba16] ____________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

obj = array([[[    0,     1,     2,     3],
        [    4,     5,     6,     7],
        [    8,     9,    10,    11],
    ...5524, 65525, 65526, 65527],
        [65528, 65529, 65530, 65531],
        [65532, 65533, 65534, 65535]]], dtype=uint16)
mode = None

    def fromarray(obj, mode=None):
        """
        Creates an image memory from an object exporting the array interface
        (using the buffer protocol)::
    
          from PIL import Image
          import numpy as np
          a = np.zeros((5, 5))
          im = Image.fromarray(a)
    
        If ``obj`` is not contiguous, then the ``tobytes`` method is called
        and :py:func:`~PIL.Image.frombuffer` is used.
    
        In the case of NumPy, be aware that Pillow modes do not always correspond
        to NumPy dtypes. Pillow modes only offer 1-bit pixels, 8-bit pixels,
        32-bit signed integer pixels, and 32-bit floating point pixels.
    
        Pillow images can also be converted to arrays::
    
          from PIL import Image
          import numpy as np
          im = Image.open("hopper.jpg")
          a = np.asarray(im)
    
        When converting Pillow images to arrays however, only pixel values are
        transferred. This means that P and PA mode images will lose their palette.
    
        :param obj: Object with array interface
        :param mode: Optional mode to use when reading ``obj``. Will be determined from
          type if ``None``.
    
          This will not be used to convert the data after reading, but will be used to
          change how the data is read::
    
            from PIL import Image
            import numpy as np
            a = np.full((1, 1), 300)
            im = Image.fromarray(a, mode="L")
            im.getpixel((0, 0))  # 44
            im = Image.fromarray(a, mode="RGB")
            im.getpixel((0, 0))  # (44, 1, 0)
    
          See: :ref:`concept-modes` for general information about modes.
        :returns: An image object.
    
        .. versionadded:: 1.1.6
        """
        arr = obj.__array_interface__
        shape = arr["shape"]
        ndim = len(shape)
        strides = arr.get("strides", None)
        if mode is None:
            try:
                typekey = (1, 1) + shape[2:], arr["typestr"]
            except KeyError as e:
                msg = "Cannot handle this data type"
                raise TypeError(msg) from e
            try:
>               mode, rawmode = _fromarray_typemap[typekey]
E               KeyError: ((1, 1, 4), '<u2')

/usr/lib/python3/dist-packages/PIL/Image.py:3095: KeyError

The above exception was the direct cause of the following exception:

color = 'rgba16', ext = 'bmp'
tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_color_bmp3')

    @pytest.mark.parametrize(("color"), ['rgb8', 'rgba8', 'rgb16', 'rgba16'])
    @pytest.mark.parametrize(("ext"), ['png', 'bmp', 'gif', 'jpeg'])
    def test_save_load_cycle_color(color, ext, tmp_path):
        dim = 4 if "rgba" in color else 3
        dtype = 'uint8' if "8" in color else 'uint16'
        if dim == 4 and ext == 'jpeg':
            # JPEG does not support alpha channel.
            return
        print('color:', color, '; dim:', dim, '; dtype:', dtype)
        s = hs.signals.Signal1D(np.arange(128*128*dim).reshape(128, 128, dim).astype(dtype))
        s.change_dtype(color)
    
        print('Saving-loading cycle for the extension:', ext)
        filename = tmp_path / f'test_image.{ext}'
>       s.save(filename)

hyperspy/tests/io/test_image.py:57: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:397: in imwrite
    return file.write(im, **kwargs)
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:444: in write
    pil_frame = Image.fromarray(frame, mode=mode)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

obj = array([[[    0,     1,     2,     3],
        [    4,     5,     6,     7],
        [    8,     9,    10,    11],
    ...5524, 65525, 65526, 65527],
        [65528, 65529, 65530, 65531],
        [65532, 65533, 65534, 65535]]], dtype=uint16)
mode = None

    def fromarray(obj, mode=None):
        """
        Creates an image memory from an object exporting the array interface
        (using the buffer protocol)::
    
          from PIL import Image
          import numpy as np
          a = np.zeros((5, 5))
          im = Image.fromarray(a)
    
        If ``obj`` is not contiguous, then the ``tobytes`` method is called
        and :py:func:`~PIL.Image.frombuffer` is used.
    
        In the case of NumPy, be aware that Pillow modes do not always correspond
        to NumPy dtypes. Pillow modes only offer 1-bit pixels, 8-bit pixels,
        32-bit signed integer pixels, and 32-bit floating point pixels.
    
        Pillow images can also be converted to arrays::
    
          from PIL import Image
          import numpy as np
          im = Image.open("hopper.jpg")
          a = np.asarray(im)
    
        When converting Pillow images to arrays however, only pixel values are
        transferred. This means that P and PA mode images will lose their palette.
    
        :param obj: Object with array interface
        :param mode: Optional mode to use when reading ``obj``. Will be determined from
          type if ``None``.
    
          This will not be used to convert the data after reading, but will be used to
          change how the data is read::
    
            from PIL import Image
            import numpy as np
            a = np.full((1, 1), 300)
            im = Image.fromarray(a, mode="L")
            im.getpixel((0, 0))  # 44
            im = Image.fromarray(a, mode="RGB")
            im.getpixel((0, 0))  # (44, 1, 0)
    
          See: :ref:`concept-modes` for general information about modes.
        :returns: An image object.
    
        .. versionadded:: 1.1.6
        """
        arr = obj.__array_interface__
        shape = arr["shape"]
        ndim = len(shape)
        strides = arr.get("strides", None)
        if mode is None:
            try:
                typekey = (1, 1) + shape[2:], arr["typestr"]
            except KeyError as e:
                msg = "Cannot handle this data type"
                raise TypeError(msg) from e
            try:
                mode, rawmode = _fromarray_typemap[typekey]
            except KeyError as e:
                msg = "Cannot handle this data type: %s, %s" % typekey
>               raise TypeError(msg) from e
E               TypeError: Cannot handle this data type: (1, 1, 4), <u2

/usr/lib/python3/dist-packages/PIL/Image.py:3098: TypeError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
----------------------------- Captured stdout call -----------------------------
color: rgba16 ; dim: 4 ; dtype: uint16
Saving-loading cycle for the extension: bmp
____________________ test_save_load_cycle_color[gif-rgb16] _____________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

obj = array([[[    0,     1,     2],
        [    3,     4,     5],
        [    6,     7,     8],
        ...,
        [  3...      ...,
        [49143, 49144, 49145],
        [49146, 49147, 49148],
        [49149, 49150, 49151]]], dtype=uint16)
mode = None

    def fromarray(obj, mode=None):
        """
        Creates an image memory from an object exporting the array interface
        (using the buffer protocol)::
    
          from PIL import Image
          import numpy as np
          a = np.zeros((5, 5))
          im = Image.fromarray(a)
    
        If ``obj`` is not contiguous, then the ``tobytes`` method is called
        and :py:func:`~PIL.Image.frombuffer` is used.
    
        In the case of NumPy, be aware that Pillow modes do not always correspond
        to NumPy dtypes. Pillow modes only offer 1-bit pixels, 8-bit pixels,
        32-bit signed integer pixels, and 32-bit floating point pixels.
    
        Pillow images can also be converted to arrays::
    
          from PIL import Image
          import numpy as np
          im = Image.open("hopper.jpg")
          a = np.asarray(im)
    
        When converting Pillow images to arrays however, only pixel values are
        transferred. This means that P and PA mode images will lose their palette.
    
        :param obj: Object with array interface
        :param mode: Optional mode to use when reading ``obj``. Will be determined from
          type if ``None``.
    
          This will not be used to convert the data after reading, but will be used to
          change how the data is read::
    
            from PIL import Image
            import numpy as np
            a = np.full((1, 1), 300)
            im = Image.fromarray(a, mode="L")
            im.getpixel((0, 0))  # 44
            im = Image.fromarray(a, mode="RGB")
            im.getpixel((0, 0))  # (44, 1, 0)
    
          See: :ref:`concept-modes` for general information about modes.
        :returns: An image object.
    
        .. versionadded:: 1.1.6
        """
        arr = obj.__array_interface__
        shape = arr["shape"]
        ndim = len(shape)
        strides = arr.get("strides", None)
        if mode is None:
            try:
                typekey = (1, 1) + shape[2:], arr["typestr"]
            except KeyError as e:
                msg = "Cannot handle this data type"
                raise TypeError(msg) from e
            try:
>               mode, rawmode = _fromarray_typemap[typekey]
E               KeyError: ((1, 1, 3), '<u2')

/usr/lib/python3/dist-packages/PIL/Image.py:3095: KeyError

The above exception was the direct cause of the following exception:

color = 'rgb16', ext = 'gif'
tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_color_gif2')

    @pytest.mark.parametrize(("color"), ['rgb8', 'rgba8', 'rgb16', 'rgba16'])
    @pytest.mark.parametrize(("ext"), ['png', 'bmp', 'gif', 'jpeg'])
    def test_save_load_cycle_color(color, ext, tmp_path):
        dim = 4 if "rgba" in color else 3
        dtype = 'uint8' if "8" in color else 'uint16'
        if dim == 4 and ext == 'jpeg':
            # JPEG does not support alpha channel.
            return
        print('color:', color, '; dim:', dim, '; dtype:', dtype)
        s = hs.signals.Signal1D(np.arange(128*128*dim).reshape(128, 128, dim).astype(dtype))
        s.change_dtype(color)
    
        print('Saving-loading cycle for the extension:', ext)
        filename = tmp_path / f'test_image.{ext}'
>       s.save(filename)

hyperspy/tests/io/test_image.py:57: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:397: in imwrite
    return file.write(im, **kwargs)
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:444: in write
    pil_frame = Image.fromarray(frame, mode=mode)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

obj = array([[[    0,     1,     2],
        [    3,     4,     5],
        [    6,     7,     8],
        ...,
        [  3...      ...,
        [49143, 49144, 49145],
        [49146, 49147, 49148],
        [49149, 49150, 49151]]], dtype=uint16)
mode = None

    def fromarray(obj, mode=None):
        """
        Creates an image memory from an object exporting the array interface
        (using the buffer protocol)::
    
          from PIL import Image
          import numpy as np
          a = np.zeros((5, 5))
          im = Image.fromarray(a)
    
        If ``obj`` is not contiguous, then the ``tobytes`` method is called
        and :py:func:`~PIL.Image.frombuffer` is used.
    
        In the case of NumPy, be aware that Pillow modes do not always correspond
        to NumPy dtypes. Pillow modes only offer 1-bit pixels, 8-bit pixels,
        32-bit signed integer pixels, and 32-bit floating point pixels.
    
        Pillow images can also be converted to arrays::
    
          from PIL import Image
          import numpy as np
          im = Image.open("hopper.jpg")
          a = np.asarray(im)
    
        When converting Pillow images to arrays however, only pixel values are
        transferred. This means that P and PA mode images will lose their palette.
    
        :param obj: Object with array interface
        :param mode: Optional mode to use when reading ``obj``. Will be determined from
          type if ``None``.
    
          This will not be used to convert the data after reading, but will be used to
          change how the data is read::
    
            from PIL import Image
            import numpy as np
            a = np.full((1, 1), 300)
            im = Image.fromarray(a, mode="L")
            im.getpixel((0, 0))  # 44
            im = Image.fromarray(a, mode="RGB")
            im.getpixel((0, 0))  # (44, 1, 0)
    
          See: :ref:`concept-modes` for general information about modes.
        :returns: An image object.
    
        .. versionadded:: 1.1.6
        """
        arr = obj.__array_interface__
        shape = arr["shape"]
        ndim = len(shape)
        strides = arr.get("strides", None)
        if mode is None:
            try:
                typekey = (1, 1) + shape[2:], arr["typestr"]
            except KeyError as e:
                msg = "Cannot handle this data type"
                raise TypeError(msg) from e
            try:
                mode, rawmode = _fromarray_typemap[typekey]
            except KeyError as e:
                msg = "Cannot handle this data type: %s, %s" % typekey
>               raise TypeError(msg) from e
E               TypeError: Cannot handle this data type: (1, 1, 3), <u2

/usr/lib/python3/dist-packages/PIL/Image.py:3098: TypeError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
----------------------------- Captured stdout call -----------------------------
color: rgb16 ; dim: 3 ; dtype: uint16
Saving-loading cycle for the extension: gif
____________________ test_save_load_cycle_color[gif-rgba16] ____________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

obj = array([[[    0,     1,     2,     3],
        [    4,     5,     6,     7],
        [    8,     9,    10,    11],
    ...5524, 65525, 65526, 65527],
        [65528, 65529, 65530, 65531],
        [65532, 65533, 65534, 65535]]], dtype=uint16)
mode = None

    def fromarray(obj, mode=None):
        """
        Creates an image memory from an object exporting the array interface
        (using the buffer protocol)::
    
          from PIL import Image
          import numpy as np
          a = np.zeros((5, 5))
          im = Image.fromarray(a)
    
        If ``obj`` is not contiguous, then the ``tobytes`` method is called
        and :py:func:`~PIL.Image.frombuffer` is used.
    
        In the case of NumPy, be aware that Pillow modes do not always correspond
        to NumPy dtypes. Pillow modes only offer 1-bit pixels, 8-bit pixels,
        32-bit signed integer pixels, and 32-bit floating point pixels.
    
        Pillow images can also be converted to arrays::
    
          from PIL import Image
          import numpy as np
          im = Image.open("hopper.jpg")
          a = np.asarray(im)
    
        When converting Pillow images to arrays however, only pixel values are
        transferred. This means that P and PA mode images will lose their palette.
    
        :param obj: Object with array interface
        :param mode: Optional mode to use when reading ``obj``. Will be determined from
          type if ``None``.
    
          This will not be used to convert the data after reading, but will be used to
          change how the data is read::
    
            from PIL import Image
            import numpy as np
            a = np.full((1, 1), 300)
            im = Image.fromarray(a, mode="L")
            im.getpixel((0, 0))  # 44
            im = Image.fromarray(a, mode="RGB")
            im.getpixel((0, 0))  # (44, 1, 0)
    
          See: :ref:`concept-modes` for general information about modes.
        :returns: An image object.
    
        .. versionadded:: 1.1.6
        """
        arr = obj.__array_interface__
        shape = arr["shape"]
        ndim = len(shape)
        strides = arr.get("strides", None)
        if mode is None:
            try:
                typekey = (1, 1) + shape[2:], arr["typestr"]
            except KeyError as e:
                msg = "Cannot handle this data type"
                raise TypeError(msg) from e
            try:
>               mode, rawmode = _fromarray_typemap[typekey]
E               KeyError: ((1, 1, 4), '<u2')

/usr/lib/python3/dist-packages/PIL/Image.py:3095: KeyError

The above exception was the direct cause of the following exception:

color = 'rgba16', ext = 'gif'
tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_color_gif3')

    @pytest.mark.parametrize(("color"), ['rgb8', 'rgba8', 'rgb16', 'rgba16'])
    @pytest.mark.parametrize(("ext"), ['png', 'bmp', 'gif', 'jpeg'])
    def test_save_load_cycle_color(color, ext, tmp_path):
        dim = 4 if "rgba" in color else 3
        dtype = 'uint8' if "8" in color else 'uint16'
        if dim == 4 and ext == 'jpeg':
            # JPEG does not support alpha channel.
            return
        print('color:', color, '; dim:', dim, '; dtype:', dtype)
        s = hs.signals.Signal1D(np.arange(128*128*dim).reshape(128, 128, dim).astype(dtype))
        s.change_dtype(color)
    
        print('Saving-loading cycle for the extension:', ext)
        filename = tmp_path / f'test_image.{ext}'
>       s.save(filename)

hyperspy/tests/io/test_image.py:57: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:397: in imwrite
    return file.write(im, **kwargs)
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:444: in write
    pil_frame = Image.fromarray(frame, mode=mode)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

obj = array([[[    0,     1,     2,     3],
        [    4,     5,     6,     7],
        [    8,     9,    10,    11],
    ...5524, 65525, 65526, 65527],
        [65528, 65529, 65530, 65531],
        [65532, 65533, 65534, 65535]]], dtype=uint16)
mode = None

    def fromarray(obj, mode=None):
        """
        Creates an image memory from an object exporting the array interface
        (using the buffer protocol)::
    
          from PIL import Image
          import numpy as np
          a = np.zeros((5, 5))
          im = Image.fromarray(a)
    
        If ``obj`` is not contiguous, then the ``tobytes`` method is called
        and :py:func:`~PIL.Image.frombuffer` is used.
    
        In the case of NumPy, be aware that Pillow modes do not always correspond
        to NumPy dtypes. Pillow modes only offer 1-bit pixels, 8-bit pixels,
        32-bit signed integer pixels, and 32-bit floating point pixels.
    
        Pillow images can also be converted to arrays::
    
          from PIL import Image
          import numpy as np
          im = Image.open("hopper.jpg")
          a = np.asarray(im)
    
        When converting Pillow images to arrays however, only pixel values are
        transferred. This means that P and PA mode images will lose their palette.
    
        :param obj: Object with array interface
        :param mode: Optional mode to use when reading ``obj``. Will be determined from
          type if ``None``.
    
          This will not be used to convert the data after reading, but will be used to
          change how the data is read::
    
            from PIL import Image
            import numpy as np
            a = np.full((1, 1), 300)
            im = Image.fromarray(a, mode="L")
            im.getpixel((0, 0))  # 44
            im = Image.fromarray(a, mode="RGB")
            im.getpixel((0, 0))  # (44, 1, 0)
    
          See: :ref:`concept-modes` for general information about modes.
        :returns: An image object.
    
        .. versionadded:: 1.1.6
        """
        arr = obj.__array_interface__
        shape = arr["shape"]
        ndim = len(shape)
        strides = arr.get("strides", None)
        if mode is None:
            try:
                typekey = (1, 1) + shape[2:], arr["typestr"]
            except KeyError as e:
                msg = "Cannot handle this data type"
                raise TypeError(msg) from e
            try:
                mode, rawmode = _fromarray_typemap[typekey]
            except KeyError as e:
                msg = "Cannot handle this data type: %s, %s" % typekey
>               raise TypeError(msg) from e
E               TypeError: Cannot handle this data type: (1, 1, 4), <u2

/usr/lib/python3/dist-packages/PIL/Image.py:3098: TypeError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
----------------------------- Captured stdout call -----------------------------
color: rgba16 ; dim: 4 ; dtype: uint16
Saving-loading cycle for the extension: gif
____________________ test_save_load_cycle_color[jpeg-rgb16] ____________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

obj = array([[[    0,     1,     2],
        [    3,     4,     5],
        [    6,     7,     8],
        ...,
        [  3...      ...,
        [49143, 49144, 49145],
        [49146, 49147, 49148],
        [49149, 49150, 49151]]], dtype=uint16)
mode = None

    def fromarray(obj, mode=None):
        """
        Creates an image memory from an object exporting the array interface
        (using the buffer protocol)::
    
          from PIL import Image
          import numpy as np
          a = np.zeros((5, 5))
          im = Image.fromarray(a)
    
        If ``obj`` is not contiguous, then the ``tobytes`` method is called
        and :py:func:`~PIL.Image.frombuffer` is used.
    
        In the case of NumPy, be aware that Pillow modes do not always correspond
        to NumPy dtypes. Pillow modes only offer 1-bit pixels, 8-bit pixels,
        32-bit signed integer pixels, and 32-bit floating point pixels.
    
        Pillow images can also be converted to arrays::
    
          from PIL import Image
          import numpy as np
          im = Image.open("hopper.jpg")
          a = np.asarray(im)
    
        When converting Pillow images to arrays however, only pixel values are
        transferred. This means that P and PA mode images will lose their palette.
    
        :param obj: Object with array interface
        :param mode: Optional mode to use when reading ``obj``. Will be determined from
          type if ``None``.
    
          This will not be used to convert the data after reading, but will be used to
          change how the data is read::
    
            from PIL import Image
            import numpy as np
            a = np.full((1, 1), 300)
            im = Image.fromarray(a, mode="L")
            im.getpixel((0, 0))  # 44
            im = Image.fromarray(a, mode="RGB")
            im.getpixel((0, 0))  # (44, 1, 0)
    
          See: :ref:`concept-modes` for general information about modes.
        :returns: An image object.
    
        .. versionadded:: 1.1.6
        """
        arr = obj.__array_interface__
        shape = arr["shape"]
        ndim = len(shape)
        strides = arr.get("strides", None)
        if mode is None:
            try:
                typekey = (1, 1) + shape[2:], arr["typestr"]
            except KeyError as e:
                msg = "Cannot handle this data type"
                raise TypeError(msg) from e
            try:
>               mode, rawmode = _fromarray_typemap[typekey]
E               KeyError: ((1, 1, 3), '<u2')

/usr/lib/python3/dist-packages/PIL/Image.py:3095: KeyError

The above exception was the direct cause of the following exception:

color = 'rgb16', ext = 'jpeg'
tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_color_jpe2')

    @pytest.mark.parametrize(("color"), ['rgb8', 'rgba8', 'rgb16', 'rgba16'])
    @pytest.mark.parametrize(("ext"), ['png', 'bmp', 'gif', 'jpeg'])
    def test_save_load_cycle_color(color, ext, tmp_path):
        dim = 4 if "rgba" in color else 3
        dtype = 'uint8' if "8" in color else 'uint16'
        if dim == 4 and ext == 'jpeg':
            # JPEG does not support alpha channel.
            return
        print('color:', color, '; dim:', dim, '; dtype:', dtype)
        s = hs.signals.Signal1D(np.arange(128*128*dim).reshape(128, 128, dim).astype(dtype))
        s.change_dtype(color)
    
        print('Saving-loading cycle for the extension:', ext)
        filename = tmp_path / f'test_image.{ext}'
>       s.save(filename)

hyperspy/tests/io/test_image.py:57: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:397: in imwrite
    return file.write(im, **kwargs)
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:444: in write
    pil_frame = Image.fromarray(frame, mode=mode)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

obj = array([[[    0,     1,     2],
        [    3,     4,     5],
        [    6,     7,     8],
        ...,
        [  3...      ...,
        [49143, 49144, 49145],
        [49146, 49147, 49148],
        [49149, 49150, 49151]]], dtype=uint16)
mode = None

    def fromarray(obj, mode=None):
        """
        Creates an image memory from an object exporting the array interface
        (using the buffer protocol)::
    
          from PIL import Image
          import numpy as np
          a = np.zeros((5, 5))
          im = Image.fromarray(a)
    
        If ``obj`` is not contiguous, then the ``tobytes`` method is called
        and :py:func:`~PIL.Image.frombuffer` is used.
    
        In the case of NumPy, be aware that Pillow modes do not always correspond
        to NumPy dtypes. Pillow modes only offer 1-bit pixels, 8-bit pixels,
        32-bit signed integer pixels, and 32-bit floating point pixels.
    
        Pillow images can also be converted to arrays::
    
          from PIL import Image
          import numpy as np
          im = Image.open("hopper.jpg")
          a = np.asarray(im)
    
        When converting Pillow images to arrays however, only pixel values are
        transferred. This means that P and PA mode images will lose their palette.
    
        :param obj: Object with array interface
        :param mode: Optional mode to use when reading ``obj``. Will be determined from
          type if ``None``.
    
          This will not be used to convert the data after reading, but will be used to
          change how the data is read::
    
            from PIL import Image
            import numpy as np
            a = np.full((1, 1), 300)
            im = Image.fromarray(a, mode="L")
            im.getpixel((0, 0))  # 44
            im = Image.fromarray(a, mode="RGB")
            im.getpixel((0, 0))  # (44, 1, 0)
    
          See: :ref:`concept-modes` for general information about modes.
        :returns: An image object.
    
        .. versionadded:: 1.1.6
        """
        arr = obj.__array_interface__
        shape = arr["shape"]
        ndim = len(shape)
        strides = arr.get("strides", None)
        if mode is None:
            try:
                typekey = (1, 1) + shape[2:], arr["typestr"]
            except KeyError as e:
                msg = "Cannot handle this data type"
                raise TypeError(msg) from e
            try:
                mode, rawmode = _fromarray_typemap[typekey]
            except KeyError as e:
                msg = "Cannot handle this data type: %s, %s" % typekey
>               raise TypeError(msg) from e
E               TypeError: Cannot handle this data type: (1, 1, 3), <u2

/usr/lib/python3/dist-packages/PIL/Image.py:3098: TypeError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
----------------------------- Captured stdout call -----------------------------
color: rgb16 ; dim: 3 ; dtype: uint16
Saving-loading cycle for the extension: jpeg
____________________ test_save_load_cycle_kwds[png-uint32] _____________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

dtype = 'uint32', ext = 'png'
tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_kwds_png_1')

    @pytest.mark.parametrize(("dtype"), ['uint8', 'uint32'])
    @pytest.mark.parametrize(("ext"), ['png', 'bmp', 'gif', 'jpg'])
    def test_save_load_cycle_kwds(dtype, ext, tmp_path):
        s = hs.signals.Signal2D(np.arange(128*128).reshape(128, 128).astype(dtype))
    
        print('Saving-loading cycle for the extension:', ext)
        filename = tmp_path / f'test_image.{ext}'
        if ext == 'png':
            if dtype == 'uint32':
                kwds = {'bits': 32}
            else:
                kwds = {'optimize': True}
        elif ext == 'jpg':
            kwds = {'quality': 100, 'optimize': True}
        elif ext == 'gif':
            kwds = {'subrectangles': 'True', 'palettesize': 128}
        else:
            kwds = {}
>       s.save(filename, **kwds)

hyperspy/tests/io/test_image.py:79: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:397: in imwrite
    return file.write(im, **kwargs)
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:446: in write
    pil_frame = pil_frame.quantize(colors=2 ** kwargs["bits"])
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <PIL.Image.Image image mode=I size=128x128 at 0xCFB0AF50>
colors = 4294967296, method = <Quantize.MEDIANCUT: 0>, kmeans = 0
palette = None, dither = <Dither.FLOYDSTEINBERG: 3>

    def quantize(
        self,
        colors=256,
        method=None,
        kmeans=0,
        palette=None,
        dither=Dither.FLOYDSTEINBERG,
    ):
        """
        Convert the image to 'P' mode with the specified number
        of colors.
    
        :param colors: The desired number of colors, <= 256
        :param method: :data:`Quantize.MEDIANCUT` (median cut),
                       :data:`Quantize.MAXCOVERAGE` (maximum coverage),
                       :data:`Quantize.FASTOCTREE` (fast octree),
                       :data:`Quantize.LIBIMAGEQUANT` (libimagequant; check support
                       using :py:func:`PIL.features.check_feature` with
                       ``feature="libimagequant"``).
    
                       By default, :data:`Quantize.MEDIANCUT` will be used.
    
                       The exception to this is RGBA images. :data:`Quantize.MEDIANCUT`
                       and :data:`Quantize.MAXCOVERAGE` do not support RGBA images, so
                       :data:`Quantize.FASTOCTREE` is used by default instead.
        :param kmeans: Integer
        :param palette: Quantize to the palette of given
                        :py:class:`PIL.Image.Image`.
        :param dither: Dithering method, used when converting from
           mode "RGB" to "P" or from "RGB" or "L" to "1".
           Available methods are :data:`Dither.NONE` or :data:`Dither.FLOYDSTEINBERG`
           (default).
        :returns: A new image
        """
    
        self.load()
    
        if method is None:
            # defaults:
            method = Quantize.MEDIANCUT
            if self.mode == "RGBA":
                method = Quantize.FASTOCTREE
    
        if self.mode == "RGBA" and method not in (
            Quantize.FASTOCTREE,
            Quantize.LIBIMAGEQUANT,
        ):
            # Caller specified an invalid mode.
            msg = (
                "Fast Octree (method == 2) and libimagequant (method == 3) "
                "are the only valid methods for quantizing RGBA images"
            )
            raise ValueError(msg)
    
        if palette:
            # use palette from reference image
            palette.load()
            if palette.mode != "P":
                msg = "bad mode for palette image"
                raise ValueError(msg)
            if self.mode != "RGB" and self.mode != "L":
                msg = "only RGB or L mode images can be quantized to a palette"
                raise ValueError(msg)
            im = self.im.convert("P", dither, palette.im)
            new_im = self._new(im)
            new_im.palette = palette.palette.copy()
            return new_im
    
>       im = self._new(self.im.quantize(colors, method, kmeans))
E       OverflowError: Python int too large to convert to C long

/usr/lib/python3/dist-packages/PIL/Image.py:1167: OverflowError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
----------------------------- Captured stdout call -----------------------------
Saving-loading cycle for the extension: png
____________________ test_save_load_cycle_kwds[bmp-uint32] _____________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

im = <PIL.Image.Image image mode=I size=128x128 at 0xD5B58E90>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_kwds_bmp_1/test_image.bmp'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_kwds_bmp_1/test_image.bmp'
bitmap_header = True

    def _save(im, fp, filename, bitmap_header=True):
        try:
>           rawmode, bits, colors = SAVE[im.mode]
E           KeyError: 'I'

/usr/lib/python3/dist-packages/PIL/BmpImagePlugin.py:389: KeyError

The above exception was the direct cause of the following exception:

dtype = 'uint32', ext = 'bmp'
tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_kwds_bmp_1')

    @pytest.mark.parametrize(("dtype"), ['uint8', 'uint32'])
    @pytest.mark.parametrize(("ext"), ['png', 'bmp', 'gif', 'jpg'])
    def test_save_load_cycle_kwds(dtype, ext, tmp_path):
        s = hs.signals.Signal2D(np.arange(128*128).reshape(128, 128).astype(dtype))
    
        print('Saving-loading cycle for the extension:', ext)
        filename = tmp_path / f'test_image.{ext}'
        if ext == 'png':
            if dtype == 'uint32':
                kwds = {'bits': 32}
            else:
                kwds = {'optimize': True}
        elif ext == 'jpg':
            kwds = {'quality': 100, 'optimize': True}
        elif ext == 'gif':
            kwds = {'subrectangles': 'True', 'palettesize': 128}
        else:
            kwds = {}
>       s.save(filename, **kwds)

hyperspy/tests/io/test_image.py:79: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:396: in imwrite
    with imopen(uri, "wi", **imopen_args) as file:
/usr/lib/python3/dist-packages/imageio/core/v3_plugin_api.py:367: in __exit__
    self.close()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:144: in close
    self._flush_writer()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:485: in _flush_writer
    primary_image.save(self._request.get_file(), **self.save_args)
/usr/lib/python3/dist-packages/PIL/Image.py:2438: in save
    save_handler(self, fp, filename)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

im = <PIL.Image.Image image mode=I size=128x128 at 0xD5B58E90>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_kwds_bmp_1/test_image.bmp'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_kwds_bmp_1/test_image.bmp'
bitmap_header = True

    def _save(im, fp, filename, bitmap_header=True):
        try:
            rawmode, bits, colors = SAVE[im.mode]
        except KeyError as e:
            msg = f"cannot write mode {im.mode} as BMP"
>           raise OSError(msg) from e
E           OSError: cannot write mode I as BMP

/usr/lib/python3/dist-packages/PIL/BmpImagePlugin.py:392: OSError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
----------------------------- Captured stdout call -----------------------------
Saving-loading cycle for the extension: bmp
____________________ test_save_load_cycle_kwds[jpg-uint32] _____________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

im = <PIL.Image.Image image mode=I size=128x128 at 0xD58F26D0>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_kwds_jpg_1/test_image.jpg'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_kwds_jpg_1/test_image.jpg'

    def _save(im, fp, filename):
        if im.width == 0 or im.height == 0:
            msg = "cannot write empty image as JPEG"
            raise ValueError(msg)
    
        try:
>           rawmode = RAWMODE[im.mode]
E           KeyError: 'I'

/usr/lib/python3/dist-packages/PIL/JpegImagePlugin.py:647: KeyError

The above exception was the direct cause of the following exception:

dtype = 'uint32', ext = 'jpg'
tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_kwds_jpg_1')

    @pytest.mark.parametrize(("dtype"), ['uint8', 'uint32'])
    @pytest.mark.parametrize(("ext"), ['png', 'bmp', 'gif', 'jpg'])
    def test_save_load_cycle_kwds(dtype, ext, tmp_path):
        s = hs.signals.Signal2D(np.arange(128*128).reshape(128, 128).astype(dtype))
    
        print('Saving-loading cycle for the extension:', ext)
        filename = tmp_path / f'test_image.{ext}'
        if ext == 'png':
            if dtype == 'uint32':
                kwds = {'bits': 32}
            else:
                kwds = {'optimize': True}
        elif ext == 'jpg':
            kwds = {'quality': 100, 'optimize': True}
        elif ext == 'gif':
            kwds = {'subrectangles': 'True', 'palettesize': 128}
        else:
            kwds = {}
>       s.save(filename, **kwds)

hyperspy/tests/io/test_image.py:79: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:396: in imwrite
    with imopen(uri, "wi", **imopen_args) as file:
/usr/lib/python3/dist-packages/imageio/core/v3_plugin_api.py:367: in __exit__
    self.close()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:144: in close
    self._flush_writer()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:485: in _flush_writer
    primary_image.save(self._request.get_file(), **self.save_args)
/usr/lib/python3/dist-packages/PIL/Image.py:2438: in save
    save_handler(self, fp, filename)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

im = <PIL.Image.Image image mode=I size=128x128 at 0xD58F26D0>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_kwds_jpg_1/test_image.jpg'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_load_cycle_kwds_jpg_1/test_image.jpg'

    def _save(im, fp, filename):
        if im.width == 0 or im.height == 0:
            msg = "cannot write empty image as JPEG"
            raise ValueError(msg)
    
        try:
            rawmode = RAWMODE[im.mode]
        except KeyError as e:
            msg = f"cannot write mode {im.mode} as JPEG"
>           raise OSError(msg) from e
E           OSError: cannot write mode I as JPEG

/usr/lib/python3/dist-packages/PIL/JpegImagePlugin.py:650: OSError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
----------------------------- Captured stdout call -----------------------------
Saving-loading cycle for the extension: jpg
__________________________ test_export_scalebar[png] ___________________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

im = <PIL.Image.Image image mode=F size=1000x1000 at 0xCED59EB0>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_png_0/test_scalebar_export.png'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_png_0/test_scalebar_export.png'
chunk = <function putchunk at 0xf499e348>, save_all = False

    def _save(im, fp, filename, chunk=putchunk, save_all=False):
        # save an image to disk (called by the save method)
    
        if save_all:
            default_image = im.encoderinfo.get(
                "default_image", im.info.get("default_image")
            )
            modes = set()
            append_images = im.encoderinfo.get("append_images", [])
            for im_seq in itertools.chain([im], append_images):
                for im_frame in ImageSequence.Iterator(im_seq):
                    modes.add(im_frame.mode)
            for mode in ("RGBA", "RGB", "P"):
                if mode in modes:
                    break
            else:
                mode = modes.pop()
        else:
            mode = im.mode
    
        if mode == "P":
            #
            # attempt to minimize storage requirements for palette images
            if "bits" in im.encoderinfo:
                # number of bits specified by user
                colors = min(1 << im.encoderinfo["bits"], 256)
            else:
                # check palette contents
                if im.palette:
                    colors = max(min(len(im.palette.getdata()[1]) // 3, 256), 1)
                else:
                    colors = 256
    
            if colors <= 16:
                if colors <= 2:
                    bits = 1
                elif colors <= 4:
                    bits = 2
                else:
                    bits = 4
                mode = f"{mode};{bits}"
    
        # encoder options
        im.encoderconfig = (
            im.encoderinfo.get("optimize", False),
            im.encoderinfo.get("compress_level", -1),
            im.encoderinfo.get("compress_type", -1),
            im.encoderinfo.get("dictionary", b""),
        )
    
        # get the corresponding PNG mode
        try:
>           rawmode, mode = _OUTMODES[mode]
E           KeyError: 'F'

/usr/lib/python3/dist-packages/PIL/PngImagePlugin.py:1273: KeyError

The above exception was the direct cause of the following exception:

ext = 'png'
tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_png_0')

    @pytest.mark.parametrize(("ext"), ['png', 'bmp', 'gif', 'jpg'])
    def test_export_scalebar(ext, tmp_path):
        data = np.arange(1E6).reshape((1000, 1000))
        s = hs.signals.Signal2D(data)
        s.axes_manager[0].units = 'nm'
        s.axes_manager[1].units = 'nm'
    
        filename = tmp_path / f'test_scalebar_export.{ext}'
        if ext in ['bmp', 'gif'] and matplotlib_scalebar_installed:
            with pytest.raises(ValueError):
                s.save(filename, scalebar=True)
            with pytest.raises(ValueError):
                s.save(filename, output_size=512)
            s.save(filename)
        else:
>           s.save(filename, scalebar=True)

hyperspy/tests/io/test_image.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:396: in imwrite
    with imopen(uri, "wi", **imopen_args) as file:
/usr/lib/python3/dist-packages/imageio/core/v3_plugin_api.py:367: in __exit__
    self.close()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:144: in close
    self._flush_writer()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:485: in _flush_writer
    primary_image.save(self._request.get_file(), **self.save_args)
/usr/lib/python3/dist-packages/PIL/Image.py:2438: in save
    save_handler(self, fp, filename)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

im = <PIL.Image.Image image mode=F size=1000x1000 at 0xCED59EB0>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_png_0/test_scalebar_export.png'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_png_0/test_scalebar_export.png'
chunk = <function putchunk at 0xf499e348>, save_all = False

    def _save(im, fp, filename, chunk=putchunk, save_all=False):
        # save an image to disk (called by the save method)
    
        if save_all:
            default_image = im.encoderinfo.get(
                "default_image", im.info.get("default_image")
            )
            modes = set()
            append_images = im.encoderinfo.get("append_images", [])
            for im_seq in itertools.chain([im], append_images):
                for im_frame in ImageSequence.Iterator(im_seq):
                    modes.add(im_frame.mode)
            for mode in ("RGBA", "RGB", "P"):
                if mode in modes:
                    break
            else:
                mode = modes.pop()
        else:
            mode = im.mode
    
        if mode == "P":
            #
            # attempt to minimize storage requirements for palette images
            if "bits" in im.encoderinfo:
                # number of bits specified by user
                colors = min(1 << im.encoderinfo["bits"], 256)
            else:
                # check palette contents
                if im.palette:
                    colors = max(min(len(im.palette.getdata()[1]) // 3, 256), 1)
                else:
                    colors = 256
    
            if colors <= 16:
                if colors <= 2:
                    bits = 1
                elif colors <= 4:
                    bits = 2
                else:
                    bits = 4
                mode = f"{mode};{bits}"
    
        # encoder options
        im.encoderconfig = (
            im.encoderinfo.get("optimize", False),
            im.encoderinfo.get("compress_level", -1),
            im.encoderinfo.get("compress_type", -1),
            im.encoderinfo.get("dictionary", b""),
        )
    
        # get the corresponding PNG mode
        try:
            rawmode, mode = _OUTMODES[mode]
        except KeyError as e:
            msg = f"cannot write mode {mode} as PNG"
>           raise OSError(msg) from e
E           OSError: cannot write mode F as PNG

/usr/lib/python3/dist-packages/PIL/PngImagePlugin.py:1276: OSError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
------------------------------ Captured log call -------------------------------
WARNING  hyperspy.io_plugins.image:image.py:104 Exporting image with scalebar requires the matplotlib-scalebar library.
__________________________ test_export_scalebar[bmp] ___________________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

im = <PIL.Image.Image image mode=F size=1000x1000 at 0xD21D7F50>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_bmp_0/test_scalebar_export.bmp'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_bmp_0/test_scalebar_export.bmp'
bitmap_header = True

    def _save(im, fp, filename, bitmap_header=True):
        try:
>           rawmode, bits, colors = SAVE[im.mode]
E           KeyError: 'F'

/usr/lib/python3/dist-packages/PIL/BmpImagePlugin.py:389: KeyError

The above exception was the direct cause of the following exception:

ext = 'bmp'
tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_bmp_0')

    @pytest.mark.parametrize(("ext"), ['png', 'bmp', 'gif', 'jpg'])
    def test_export_scalebar(ext, tmp_path):
        data = np.arange(1E6).reshape((1000, 1000))
        s = hs.signals.Signal2D(data)
        s.axes_manager[0].units = 'nm'
        s.axes_manager[1].units = 'nm'
    
        filename = tmp_path / f'test_scalebar_export.{ext}'
        if ext in ['bmp', 'gif'] and matplotlib_scalebar_installed:
            with pytest.raises(ValueError):
                s.save(filename, scalebar=True)
            with pytest.raises(ValueError):
                s.save(filename, output_size=512)
            s.save(filename)
        else:
>           s.save(filename, scalebar=True)

hyperspy/tests/io/test_image.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:396: in imwrite
    with imopen(uri, "wi", **imopen_args) as file:
/usr/lib/python3/dist-packages/imageio/core/v3_plugin_api.py:367: in __exit__
    self.close()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:144: in close
    self._flush_writer()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:485: in _flush_writer
    primary_image.save(self._request.get_file(), **self.save_args)
/usr/lib/python3/dist-packages/PIL/Image.py:2438: in save
    save_handler(self, fp, filename)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

im = <PIL.Image.Image image mode=F size=1000x1000 at 0xD21D7F50>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_bmp_0/test_scalebar_export.bmp'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_bmp_0/test_scalebar_export.bmp'
bitmap_header = True

    def _save(im, fp, filename, bitmap_header=True):
        try:
            rawmode, bits, colors = SAVE[im.mode]
        except KeyError as e:
            msg = f"cannot write mode {im.mode} as BMP"
>           raise OSError(msg) from e
E           OSError: cannot write mode F as BMP

/usr/lib/python3/dist-packages/PIL/BmpImagePlugin.py:392: OSError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
------------------------------ Captured log call -------------------------------
WARNING  hyperspy.io_plugins.image:image.py:104 Exporting image with scalebar requires the matplotlib-scalebar library.
__________________________ test_export_scalebar[jpg] ___________________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

im = <PIL.Image.Image image mode=F size=1000x1000 at 0xCE799530>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_jpg_0/test_scalebar_export.jpg'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_jpg_0/test_scalebar_export.jpg'

    def _save(im, fp, filename):
        if im.width == 0 or im.height == 0:
            msg = "cannot write empty image as JPEG"
            raise ValueError(msg)
    
        try:
>           rawmode = RAWMODE[im.mode]
E           KeyError: 'F'

/usr/lib/python3/dist-packages/PIL/JpegImagePlugin.py:647: KeyError

The above exception was the direct cause of the following exception:

ext = 'jpg'
tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_jpg_0')

    @pytest.mark.parametrize(("ext"), ['png', 'bmp', 'gif', 'jpg'])
    def test_export_scalebar(ext, tmp_path):
        data = np.arange(1E6).reshape((1000, 1000))
        s = hs.signals.Signal2D(data)
        s.axes_manager[0].units = 'nm'
        s.axes_manager[1].units = 'nm'
    
        filename = tmp_path / f'test_scalebar_export.{ext}'
        if ext in ['bmp', 'gif'] and matplotlib_scalebar_installed:
            with pytest.raises(ValueError):
                s.save(filename, scalebar=True)
            with pytest.raises(ValueError):
                s.save(filename, output_size=512)
            s.save(filename)
        else:
>           s.save(filename, scalebar=True)

hyperspy/tests/io/test_image.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:396: in imwrite
    with imopen(uri, "wi", **imopen_args) as file:
/usr/lib/python3/dist-packages/imageio/core/v3_plugin_api.py:367: in __exit__
    self.close()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:144: in close
    self._flush_writer()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:485: in _flush_writer
    primary_image.save(self._request.get_file(), **self.save_args)
/usr/lib/python3/dist-packages/PIL/Image.py:2438: in save
    save_handler(self, fp, filename)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

im = <PIL.Image.Image image mode=F size=1000x1000 at 0xCE799530>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_jpg_0/test_scalebar_export.jpg'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_jpg_0/test_scalebar_export.jpg'

    def _save(im, fp, filename):
        if im.width == 0 or im.height == 0:
            msg = "cannot write empty image as JPEG"
            raise ValueError(msg)
    
        try:
            rawmode = RAWMODE[im.mode]
        except KeyError as e:
            msg = f"cannot write mode {im.mode} as JPEG"
>           raise OSError(msg) from e
E           OSError: cannot write mode F as JPEG

/usr/lib/python3/dist-packages/PIL/JpegImagePlugin.py:650: OSError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
------------------------------ Captured log call -------------------------------
WARNING  hyperspy.io_plugins.image:image.py:104 Exporting image with scalebar requires the matplotlib-scalebar library.
_______________________ test_export_scalebar_reciprocal ________________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

im = <PIL.Image.Image image mode=I size=512x512 at 0xCEDC0F90>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_reciproca0/test_scalebar_export.jpg'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_reciproca0/test_scalebar_export.jpg'

    def _save(im, fp, filename):
        if im.width == 0 or im.height == 0:
            msg = "cannot write empty image as JPEG"
            raise ValueError(msg)
    
        try:
>           rawmode = RAWMODE[im.mode]
E           KeyError: 'I'

/usr/lib/python3/dist-packages/PIL/JpegImagePlugin.py:647: KeyError

The above exception was the direct cause of the following exception:

tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_reciproca0')

    def test_export_scalebar_reciprocal(tmp_path):
        pixels = 512
        s = hs.signals.Signal2D(np.arange(pixels**2).reshape((pixels, pixels)))
        for axis in s.axes_manager.signal_axes:
            axis.units = '1/nm'
            axis.scale = 0.1
    
        filename = tmp_path / 'test_scalebar_export.jpg'
>       s.save(filename, scalebar=True, scalebar_kwds={'location':'lower right'})

hyperspy/tests/io/test_image.py:111: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:396: in imwrite
    with imopen(uri, "wi", **imopen_args) as file:
/usr/lib/python3/dist-packages/imageio/core/v3_plugin_api.py:367: in __exit__
    self.close()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:144: in close
    self._flush_writer()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:485: in _flush_writer
    primary_image.save(self._request.get_file(), **self.save_args)
/usr/lib/python3/dist-packages/PIL/Image.py:2438: in save
    save_handler(self, fp, filename)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

im = <PIL.Image.Image image mode=I size=512x512 at 0xCEDC0F90>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_reciproca0/test_scalebar_export.jpg'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_reciproca0/test_scalebar_export.jpg'

    def _save(im, fp, filename):
        if im.width == 0 or im.height == 0:
            msg = "cannot write empty image as JPEG"
            raise ValueError(msg)
    
        try:
            rawmode = RAWMODE[im.mode]
        except KeyError as e:
            msg = f"cannot write mode {im.mode} as JPEG"
>           raise OSError(msg) from e
E           OSError: cannot write mode I as JPEG

/usr/lib/python3/dist-packages/PIL/JpegImagePlugin.py:650: OSError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
------------------------------ Captured log call -------------------------------
WARNING  hyperspy.io_plugins.image:image.py:104 Exporting image with scalebar requires the matplotlib-scalebar library.
_____________________ test_export_scalebar_undefined_units _____________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

im = <PIL.Image.Image image mode=I size=512x512 at 0xCEE2F550>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_undefined0/test_scalebar_export.jpg'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_undefined0/test_scalebar_export.jpg'

    def _save(im, fp, filename):
        if im.width == 0 or im.height == 0:
            msg = "cannot write empty image as JPEG"
            raise ValueError(msg)
    
        try:
>           rawmode = RAWMODE[im.mode]
E           KeyError: 'I'

/usr/lib/python3/dist-packages/PIL/JpegImagePlugin.py:647: KeyError

The above exception was the direct cause of the following exception:

tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_undefined0')

    def test_export_scalebar_undefined_units(tmp_path):
        pixels = 512
        s = hs.signals.Signal2D(np.arange(pixels**2).reshape((pixels, pixels)))
    
        filename = tmp_path / 'test_scalebar_export.jpg'
>       s.save(filename, scalebar=True, scalebar_kwds={'location':'lower right'})

hyperspy/tests/io/test_image.py:121: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:396: in imwrite
    with imopen(uri, "wi", **imopen_args) as file:
/usr/lib/python3/dist-packages/imageio/core/v3_plugin_api.py:367: in __exit__
    self.close()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:144: in close
    self._flush_writer()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:485: in _flush_writer
    primary_image.save(self._request.get_file(), **self.save_args)
/usr/lib/python3/dist-packages/PIL/Image.py:2438: in save
    save_handler(self, fp, filename)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

im = <PIL.Image.Image image mode=I size=512x512 at 0xCEE2F550>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_undefined0/test_scalebar_export.jpg'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_export_scalebar_undefined0/test_scalebar_export.jpg'

    def _save(im, fp, filename):
        if im.width == 0 or im.height == 0:
            msg = "cannot write empty image as JPEG"
            raise ValueError(msg)
    
        try:
            rawmode = RAWMODE[im.mode]
        except KeyError as e:
            msg = f"cannot write mode {im.mode} as JPEG"
>           raise OSError(msg) from e
E           OSError: cannot write mode I as JPEG

/usr/lib/python3/dist-packages/PIL/JpegImagePlugin.py:650: OSError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
------------------------------ Captured log call -------------------------------
WARNING  hyperspy.io_plugins.image:image.py:104 Exporting image with scalebar requires the matplotlib-scalebar library.
__________________________ test_save_image_navigation __________________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

im = <PIL.Image.Image image mode=I size=16x16 at 0xCE8422F0>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_image_navigation0/test_save_image_navigation.jpg'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_image_navigation0/test_save_image_navigation.jpg'

    def _save(im, fp, filename):
        if im.width == 0 or im.height == 0:
            msg = "cannot write empty image as JPEG"
            raise ValueError(msg)
    
        try:
>           rawmode = RAWMODE[im.mode]
E           KeyError: 'I'

/usr/lib/python3/dist-packages/PIL/JpegImagePlugin.py:647: KeyError

The above exception was the direct cause of the following exception:

tmp_path = PosixPath('/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_image_navigation0')

    def test_save_image_navigation(tmp_path):
        pixels = 16
        s = hs.signals.Signal2D(np.arange(pixels**2).reshape((pixels, pixels)))
    
        fname = tmp_path / 'test_save_image_navigation.jpg'
>       s.T.save(fname, scalebar=True)

hyperspy/tests/io/test_image.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:3003: in save
    io_save(filename, self, overwrite=overwrite, **kwds)
hyperspy/io.py:865: in save
    writer.file_writer(str(filename), signal, **kwds)
hyperspy/io_plugins/image.py:171: in file_writer
    imwrite(filename, data, **kwds)
/usr/lib/python3/dist-packages/imageio/v2.py:396: in imwrite
    with imopen(uri, "wi", **imopen_args) as file:
/usr/lib/python3/dist-packages/imageio/core/v3_plugin_api.py:367: in __exit__
    self.close()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:144: in close
    self._flush_writer()
/usr/lib/python3/dist-packages/imageio/plugins/pillow.py:485: in _flush_writer
    primary_image.save(self._request.get_file(), **self.save_args)
/usr/lib/python3/dist-packages/PIL/Image.py:2438: in save
    save_handler(self, fp, filename)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

im = <PIL.Image.Image image mode=I size=16x16 at 0xCE8422F0>
fp = <_io.BufferedWriter name='/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_image_navigation0/test_save_image_navigation.jpg'>
filename = '/tmp/pytest-of-buildd/pytest-0/popen-gw0/test_save_image_navigation0/test_save_image_navigation.jpg'

    def _save(im, fp, filename):
        if im.width == 0 or im.height == 0:
            msg = "cannot write empty image as JPEG"
            raise ValueError(msg)
    
        try:
            rawmode = RAWMODE[im.mode]
        except KeyError as e:
            msg = f"cannot write mode {im.mode} as JPEG"
>           raise OSError(msg) from e
E           OSError: cannot write mode I as JPEG

/usr/lib/python3/dist-packages/PIL/JpegImagePlugin.py:650: OSError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
------------------------------ Captured log call -------------------------------
WARNING  hyperspy.io_plugins.image:image.py:104 Exporting image with scalebar requires the matplotlib-scalebar library.
________________________ test_serial_date_to_ISO_format ________________________
[gw1] linux -- Python 3.11.7 /usr/bin/python3.11

    def test_serial_date_to_ISO_format():
        iso_1 = dtt.serial_date_to_ISO_format(serial1)
        dt1_local = dt1.astimezone(tz.tzlocal())
        assert iso_1[0] == dt1_local.date().isoformat()
        assert iso_1[1] == dt1_local.time().isoformat()
        assert iso_1[2] == dt1_local.tzname()
    
>       iso_2 = dtt.serial_date_to_ISO_format(serial2)

hyperspy/tests/misc/test_date_time_tools.py:133: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/misc/date_time_tools.py:148: in serial_date_to_ISO_format
    dt_local = dt_utc.astimezone(tz.tzlocal())
/usr/lib/python3/dist-packages/dateutil/tz/_common.py:144: in fromutc
    return f(self, dt)
/usr/lib/python3/dist-packages/dateutil/tz/_common.py:261: in fromutc
    _fold = self._fold_status(dt, dt_wall)
/usr/lib/python3/dist-packages/dateutil/tz/_common.py:196: in _fold_status
    if self.is_ambiguous(dt_wall):
/usr/lib/python3/dist-packages/dateutil/tz/tz.py:254: in is_ambiguous
    naive_dst = self._naive_is_dst(dt)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = tzlocal()
dt = datetime.datetime(2124, 3, 25, 15, 4, 48, 1, tzinfo=tzlocal())

    def _naive_is_dst(self, dt):
        timestamp = _datetime_to_timestamp(dt)
>       return time.localtime(timestamp + time.timezone).tm_isdst
E       OverflowError: timestamp out of range for platform time_t

/usr/lib/python3/dist-packages/dateutil/tz/tz.py:260: OverflowError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
________________________ test_ISO_format_to_serial_date ________________________
[gw1] linux -- Python 3.11.7 /usr/bin/python3.11

    def test_ISO_format_to_serial_date():
        res1 = dtt.ISO_format_to_serial_date(
            dt1.date().isoformat(), dt1.time().isoformat(), timezone=dt1.tzname())
        np.testing.assert_allclose(res1, serial1, atol=1E-5)
>       dt = dt2.astimezone(tz.tzlocal())

hyperspy/tests/misc/test_date_time_tools.py:153: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
/usr/lib/python3/dist-packages/dateutil/tz/_common.py:144: in fromutc
    return f(self, dt)
/usr/lib/python3/dist-packages/dateutil/tz/_common.py:261: in fromutc
    _fold = self._fold_status(dt, dt_wall)
/usr/lib/python3/dist-packages/dateutil/tz/_common.py:196: in _fold_status
    if self.is_ambiguous(dt_wall):
/usr/lib/python3/dist-packages/dateutil/tz/tz.py:254: in is_ambiguous
    naive_dst = self._naive_is_dst(dt)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = tzlocal()
dt = datetime.datetime(2124, 3, 25, 15, 4, 48, tzinfo=tzlocal())

    def _naive_is_dst(self, dt):
        timestamp = _datetime_to_timestamp(dt)
>       return time.localtime(timestamp + time.timezone).tm_isdst
E       OverflowError: timestamp out of range for platform time_t

/usr/lib/python3/dist-packages/dateutil/tz/tz.py:260: OverflowError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
_________________________ test_random_state_lazy[None] _________________________
[gw0] linux -- Python 3.11.7 /usr/bin/python3.11

seed = None, lazy = True

    def check_random_state(seed, lazy=False):
        """Turn a random seed into a np.random.RandomState instance.
    
        Parameters
        ----------
        seed : None or int or np.random.RandomState or dask.array.random.RandomState
            If None:
                Return the RandomState singleton used by
                np.random or dask.array.random
            If int:
                Return a new RandomState instance seeded with ``seed``.
            If np.random.RandomState:
                Return it.
            If dask.array.random.RandomState:
                Return it.
        lazy : bool, default False
            If True, and seed is ``None`` or ``int``, return
            a dask.array.random.RandomState instance instead.
    
        """
        # Derived from `sklearn.utils.check_random_state`.
        # Copyright (c) 2007-2020 The scikit-learn developers.
        # All rights reserved.
    
        if seed is None or seed is np.random:
            if lazy:
                try:
                    # For dask<2022.10.0
>                   return da.random._state
E                   AttributeError: module 'dask.array.random' has no attribute '_state'

hyperspy/misc/math_tools.py:204: AttributeError

During handling of the above exception, another exception occurred:

seed = None

    @pytest.mark.parametrize("seed", [None, 123, da.random.RandomState(123)])
    def test_random_state_lazy(seed):
>       assert isinstance(math_tools.check_random_state(seed, lazy=True), da.random.RandomState)

hyperspy/tests/misc/test_math_tools.py:49: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

seed = None, lazy = True

    def check_random_state(seed, lazy=False):
        """Turn a random seed into a np.random.RandomState instance.
    
        Parameters
        ----------
        seed : None or int or np.random.RandomState or dask.array.random.RandomState
            If None:
                Return the RandomState singleton used by
                np.random or dask.array.random
            If int:
                Return a new RandomState instance seeded with ``seed``.
            If np.random.RandomState:
                Return it.
            If dask.array.random.RandomState:
                Return it.
        lazy : bool, default False
            If True, and seed is ``None`` or ``int``, return
            a dask.array.random.RandomState instance instead.
    
        """
        # Derived from `sklearn.utils.check_random_state`.
        # Copyright (c) 2007-2020 The scikit-learn developers.
        # All rights reserved.
    
        if seed is None or seed is np.random:
            if lazy:
                try:
                    # For dask<2022.10.0
                    return da.random._state
                except AttributeError:
                    backend = da.backends.array_creation_dispatch.backend
>                   if backend not in da.random._cached_random_states.keys():
E                   AttributeError: module 'dask.array.random' has no attribute '_cached_random_states'

hyperspy/misc/math_tools.py:207: AttributeError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
_____________________ Test2D.test_lazy_add_gaussian_noise ______________________
[gw3] linux -- Python 3.11.7 /usr/bin/python3.11

seed = None, lazy = True

    def check_random_state(seed, lazy=False):
        """Turn a random seed into a np.random.RandomState instance.
    
        Parameters
        ----------
        seed : None or int or np.random.RandomState or dask.array.random.RandomState
            If None:
                Return the RandomState singleton used by
                np.random or dask.array.random
            If int:
                Return a new RandomState instance seeded with ``seed``.
            If np.random.RandomState:
                Return it.
            If dask.array.random.RandomState:
                Return it.
        lazy : bool, default False
            If True, and seed is ``None`` or ``int``, return
            a dask.array.random.RandomState instance instead.
    
        """
        # Derived from `sklearn.utils.check_random_state`.
        # Copyright (c) 2007-2020 The scikit-learn developers.
        # All rights reserved.
    
        if seed is None or seed is np.random:
            if lazy:
                try:
                    # For dask<2022.10.0
>                   return da.random._state
E                   AttributeError: module 'dask.array.random' has no attribute '_state'

hyperspy/misc/math_tools.py:204: AttributeError

During handling of the above exception, another exception occurred:

self = <hyperspy.tests.signals.test_2D.Test2D object at 0xdcb1d370>

    def test_add_gaussian_noise(self):
        s = self.signal
        s.change_dtype("float64")
        kwargs = {}
        if s._lazy:
            data = s.data.compute()
            from dask.array.random import seed, normal
    
            kwargs["chunks"] = s.data.chunks
        else:
            data = s.data.copy()
            from numpy.random import seed, normal
        seed(1)
>       s.add_gaussian_noise(std=1.0)

hyperspy/tests/signals/test_2D.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:6130: in add_gaussian_noise
    random_state = check_random_state(random_state, lazy=self._lazy)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

seed = None, lazy = True

    def check_random_state(seed, lazy=False):
        """Turn a random seed into a np.random.RandomState instance.
    
        Parameters
        ----------
        seed : None or int or np.random.RandomState or dask.array.random.RandomState
            If None:
                Return the RandomState singleton used by
                np.random or dask.array.random
            If int:
                Return a new RandomState instance seeded with ``seed``.
            If np.random.RandomState:
                Return it.
            If dask.array.random.RandomState:
                Return it.
        lazy : bool, default False
            If True, and seed is ``None`` or ``int``, return
            a dask.array.random.RandomState instance instead.
    
        """
        # Derived from `sklearn.utils.check_random_state`.
        # Copyright (c) 2007-2020 The scikit-learn developers.
        # All rights reserved.
    
        if seed is None or seed is np.random:
            if lazy:
                try:
                    # For dask<2022.10.0
                    return da.random._state
                except AttributeError:
                    backend = da.backends.array_creation_dispatch.backend
>                   if backend not in da.random._cached_random_states.keys():
E                   AttributeError: module 'dask.array.random' has no attribute '_cached_random_states'

hyperspy/misc/math_tools.py:207: AttributeError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
______________________ Test2D.test_lazy_add_poisson_noise ______________________
[gw3] linux -- Python 3.11.7 /usr/bin/python3.11

seed = None, lazy = True

    def check_random_state(seed, lazy=False):
        """Turn a random seed into a np.random.RandomState instance.
    
        Parameters
        ----------
        seed : None or int or np.random.RandomState or dask.array.random.RandomState
            If None:
                Return the RandomState singleton used by
                np.random or dask.array.random
            If int:
                Return a new RandomState instance seeded with ``seed``.
            If np.random.RandomState:
                Return it.
            If dask.array.random.RandomState:
                Return it.
        lazy : bool, default False
            If True, and seed is ``None`` or ``int``, return
            a dask.array.random.RandomState instance instead.
    
        """
        # Derived from `sklearn.utils.check_random_state`.
        # Copyright (c) 2007-2020 The scikit-learn developers.
        # All rights reserved.
    
        if seed is None or seed is np.random:
            if lazy:
                try:
                    # For dask<2022.10.0
>                   return da.random._state
E                   AttributeError: module 'dask.array.random' has no attribute '_state'

hyperspy/misc/math_tools.py:204: AttributeError

During handling of the above exception, another exception occurred:

self = <hyperspy.tests.signals.test_2D.Test2D object at 0xdcb1d750>

    def test_add_poisson_noise(self):
        s = self.signal
        kwargs = {}
        if s._lazy:
            data = s.data.compute()
            from dask.array.random import seed, poisson
    
            kwargs["chunks"] = s.data.chunks
        else:
            data = s.data.copy()
            from numpy.random import seed, poisson
        seed(1)
    
>       s.add_poissonian_noise(keep_dtype=False)

hyperspy/tests/signals/test_2D.py:457: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:6074: in add_poissonian_noise
    random_state = check_random_state(random_state, lazy=self._lazy)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

seed = None, lazy = True

    def check_random_state(seed, lazy=False):
        """Turn a random seed into a np.random.RandomState instance.
    
        Parameters
        ----------
        seed : None or int or np.random.RandomState or dask.array.random.RandomState
            If None:
                Return the RandomState singleton used by
                np.random or dask.array.random
            If int:
                Return a new RandomState instance seeded with ``seed``.
            If np.random.RandomState:
                Return it.
            If dask.array.random.RandomState:
                Return it.
        lazy : bool, default False
            If True, and seed is ``None`` or ``int``, return
            a dask.array.random.RandomState instance instead.
    
        """
        # Derived from `sklearn.utils.check_random_state`.
        # Copyright (c) 2007-2020 The scikit-learn developers.
        # All rights reserved.
    
        if seed is None or seed is np.random:
            if lazy:
                try:
                    # For dask<2022.10.0
                    return da.random._state
                except AttributeError:
                    backend = da.backends.array_creation_dispatch.backend
>                   if backend not in da.random._cached_random_states.keys():
E                   AttributeError: module 'dask.array.random' has no attribute '_cached_random_states'

hyperspy/misc/math_tools.py:207: AttributeError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
__________________ Test2D.test_lazy_add_poisson_noise_warning __________________
[gw3] linux -- Python 3.11.7 /usr/bin/python3.11

seed = None, lazy = True

    def check_random_state(seed, lazy=False):
        """Turn a random seed into a np.random.RandomState instance.
    
        Parameters
        ----------
        seed : None or int or np.random.RandomState or dask.array.random.RandomState
            If None:
                Return the RandomState singleton used by
                np.random or dask.array.random
            If int:
                Return a new RandomState instance seeded with ``seed``.
            If np.random.RandomState:
                Return it.
            If dask.array.random.RandomState:
                Return it.
        lazy : bool, default False
            If True, and seed is ``None`` or ``int``, return
            a dask.array.random.RandomState instance instead.
    
        """
        # Derived from `sklearn.utils.check_random_state`.
        # Copyright (c) 2007-2020 The scikit-learn developers.
        # All rights reserved.
    
        if seed is None or seed is np.random:
            if lazy:
                try:
                    # For dask<2022.10.0
>                   return da.random._state
E                   AttributeError: module 'dask.array.random' has no attribute '_state'

hyperspy/misc/math_tools.py:204: AttributeError

During handling of the above exception, another exception occurred:

self = <hyperspy.tests.signals.test_2D.Test2D object at 0xdc97eff0>
caplog = <_pytest.logging.LogCaptureFixture object at 0xd1a85cf0>

    def test_add_poisson_noise_warning(self, caplog):
        s = self.signal
        s.change_dtype("float64")
    
        with caplog.at_level(logging.WARNING):
>           s.add_poissonian_noise(keep_dtype=True)

hyperspy/tests/signals/test_2D.py:505: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
hyperspy/signal.py:6074: in add_poissonian_noise
    random_state = check_random_state(random_state, lazy=self._lazy)
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

seed = None, lazy = True

    def check_random_state(seed, lazy=False):
        """Turn a random seed into a np.random.RandomState instance.
    
        Parameters
        ----------
        seed : None or int or np.random.RandomState or dask.array.random.RandomState
            If None:
                Return the RandomState singleton used by
                np.random or dask.array.random
            If int:
                Return a new RandomState instance seeded with ``seed``.
            If np.random.RandomState:
                Return it.
            If dask.array.random.RandomState:
                Return it.
        lazy : bool, default False
            If True, and seed is ``None`` or ``int``, return
            a dask.array.random.RandomState instance instead.
    
        """
        # Derived from `sklearn.utils.check_random_state`.
        # Copyright (c) 2007-2020 The scikit-learn developers.
        # All rights reserved.
    
        if seed is None or seed is np.random:
            if lazy:
                try:
                    # For dask<2022.10.0
                    return da.random._state
                except AttributeError:
                    backend = da.backends.array_creation_dispatch.backend
>                   if backend not in da.random._cached_random_states.keys():
E                   AttributeError: module 'dask.array.random' has no attribute '_cached_random_states'

hyperspy/misc/math_tools.py:207: AttributeError
------------------------------ Captured log setup ------------------------------
WARNING  matplotlib.testing:__init__.py:38 Could not set locale to English/United States. Some date-related tests may fail.
=============================== warnings summary ===============================
../../../../../../usr/lib/python3/dist-packages/traits/observation/_generated_parser.py:258
../../../../../../usr/lib/python3/dist-packages/traits/observation/_generated_parser.py:258
../../../../../../usr/lib/python3/dist-packages/traits/observation/_generated_parser.py:258
../../../../../../usr/lib/python3/dist-packages/traits/observation/_generated_parser.py:258
  /usr/lib/python3/dist-packages/traits/observation/_generated_parser.py:258: DeprecationWarning: module 'sre_parse' is deprecated
    import sre_parse

../../../../../../usr/lib/python3/dist-packages/traits/observation/_generated_parser.py:259
../../../../../../usr/lib/python3/dist-packages/traits/observation/_generated_parser.py:259
../../../../../../usr/lib/python3/dist-packages/traits/observation/_generated_parser.py:259
../../../../../../usr/lib/python3/dist-packages/traits/observation/_generated_parser.py:259
  /usr/lib/python3/dist-packages/traits/observation/_generated_parser.py:259: DeprecationWarning: module 'sre_constants' is deprecated
    import sre_constants

../../../../../../usr/lib/python3/dist-packages/pint/parser.py:264
../../../../../../usr/lib/python3/dist-packages/pint/parser.py:264
../../../../../../usr/lib/python3/dist-packages/pint/parser.py:264
../../../../../../usr/lib/python3/dist-packages/pint/parser.py:264
  /usr/lib/python3/dist-packages/pint/parser.py:264: DeprecationWarning: path is deprecated. Use files() instead. Refer to https://importlib-resources.readthedocs.io/en/latest/using.html#migrating-from-legacy for migration advice.
    with resources.path(__package__, resource_name) as p:

../../../../../../usr/lib/python3/dist-packages/sklearn/decomposition/_fastica.py:123
../../../../../../usr/lib/python3/dist-packages/sklearn/decomposition/_fastica.py:123
../../../../../../usr/lib/python3/dist-packages/sklearn/decomposition/_fastica.py:123
../../../../../../usr/lib/python3/dist-packages/sklearn/decomposition/_fastica.py:123
  /usr/lib/python3/dist-packages/sklearn/decomposition/_fastica.py:123: ConvergenceWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
    warnings.warn(

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/component/test_components2D.py: 1 warning
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_plot_mva.py: 10 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/learn/test_decomposition.py: 4 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/model/test_edsmodel.py: 2 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_kramers_kronig_transform.py: 6 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_remove_background.py: 6 warnings
  /usr/lib/python3/dist-packages/_pytest/unraisableexception.py:78: PytestUnraisableExceptionWarning: Exception ignored in: <function tqdm.__del__ at 0xe1684118>
  
  Traceback (most recent call last):
    File "/usr/lib/python3/dist-packages/tqdm/std.py", line 1162, in __del__
      self.close()
    File "/usr/lib/python3/dist-packages/tqdm/notebook.py", line 288, in close
      self.disp(bar_style='danger', check_delay=False)
      ^^^^^^^^^
  AttributeError: 'tqdm_notebook' object has no attribute 'disp'
  
    warnings.warn(pytest.PytestUnraisableExceptionWarning(msg))

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/component/test_components.py: 5 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/component/test_gaussianhf.py: 1 warning
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/model/test_fitting.py: 18 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/samfire/test_goodness_of_fit_tests.py: 2 warnings
  /usr/lib/python3/dist-packages/_pytest/unraisableexception.py:78: PytestUnraisableExceptionWarning: Exception ignored in: <function tqdm.__del__ at 0xe1497c08>
  
  Traceback (most recent call last):
    File "/usr/lib/python3/dist-packages/tqdm/std.py", line 1162, in __del__
      self.close()
    File "/usr/lib/python3/dist-packages/tqdm/notebook.py", line 288, in close
      self.disp(bar_style='danger', check_delay=False)
      ^^^^^^^^^
  AttributeError: 'tqdm_notebook' object has no attribute 'disp'
  
    warnings.warn(pytest.PytestUnraisableExceptionWarning(msg))

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_figure.py::test_close_figure_using_matplotlib
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_figure.py:56: MatplotlibDeprecationWarning: The close_event function was deprecated in Matplotlib 3.6 and will be removed two minor releases later. Use callbacks.process('close_event', CloseEvent(...)) instead.
    fig.figure.canvas.close_event()

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_figure.py::test_close_figure[1-1-auto]
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_figure.py::test_close_figure[1-1-slider]
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_figure.py::test_close_figure[1-1-spectrum]
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_figure.py::test_close_figure[1-2-auto]
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_figure.py::test_close_figure[1-2-slider]
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_figure.py::test_close_figure[1-2-spectrum]
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_figure.py:86: MatplotlibDeprecationWarning: The close_event function was deprecated in Matplotlib 3.6 and will be removed two minor releases later. Use callbacks.process('close_event', CloseEvent(...)) instead.
    m._plot.signal_plot.figure.canvas.close_event()

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_plot_roi_widgets.py::TestPlotROI::test_plot_point1D_axis_0_non_iterable
  /usr/lib/python3/dist-packages/_pytest/python.py:198: PytestReturnNotNoneWarning: Expected None, but .pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_plot_roi_widgets.py::TestPlotROI::test_plot_point1D_axis_0_non_iterable returned <Figure size 640x480 with 1 Axes>, which will be an error in a future version of pytest.  Did you mean to use `assert` instead of `return`?
    warnings.warn(

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_plot_mva.py: 130 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/learn/test_cluster.py: 121 warnings
  /usr/lib/python3/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning
    warnings.warn(

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_plot_mva.py::TestPlotClusterAnalysis::test_plot_cluster_distances_nav2_sig2
  /usr/lib/python3/dist-packages/_pytest/python.py:198: PytestReturnNotNoneWarning: Expected None, but .pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_plot_mva.py::TestPlotClusterAnalysis::test_plot_cluster_distances_nav2_sig2 returned <Figure size 960x240 with 6 Axes>, which will be an error in a future version of pytest.  Did you mean to use `assert` instead of `return`?
    warnings.warn(

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_plot_mva.py::TestPlotClusterAnalysis::test_plot_cluster_signals_nav2_sig2
  /usr/lib/python3/dist-packages/_pytest/python.py:198: PytestReturnNotNoneWarning: Expected None, but .pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_plot_mva.py::TestPlotClusterAnalysis::test_plot_cluster_signals_nav2_sig2 returned <Figure size 960x240 with 6 Axes>, which will be an error in a future version of pytest.  Did you mean to use `assert` instead of `return`?
    warnings.warn(

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_plot_signal_tools.py: 5 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/drawing/test_plot_signal.py: 1 warning
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_image_contrast_editor_tool.py: 6 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_spike_removal_tool.py: 2 warnings
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/drawing/image.py:566: MatplotlibDeprecationWarning: The draw_all function was deprecated in Matplotlib 3.6 and will be removed two minor releases later. Use fig.draw_without_rendering() instead.
    self._colorbar.draw_all()

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/test_blockfile.py::test_vbfs[None]
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/test_blockfile.py::test_vbfs[navigator]
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/test_blockfile.py::test_vbfs[vbf2]
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/test_blockfile.py::test_invalid_vbf
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/test_blockfile.py::test_unrecognized_header_warning
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/io_plugins/blockfile.py:335: UserWarning: Data does not have uint8 dtype: values outside the range 0-255 may result in overflow. To avoid this use the 'intensity_scaling' keyword argument.
    warnings.warn(

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/test_blockfile.py::test_vbfs[vbf2]
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/signal.py:2310: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
    getattr(self.data, op_name)(other))

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/test_image.py: 27 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/test_io.py: 1 warning
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/io_plugins/image.py:212: DeprecationWarning: Starting with ImageIO v3 the behavior of this function will switch to that of iio.v3.imread. To keep the current behavior (and make this warning disappear) use `import imageio.v2 as imageio` or call `imageio.v2.imread` directly.
    dc = imread(filename)

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/learn/test_bss.py::test_bss_FastICA_object
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/learn/test_bss.py::test_bss_pipeline
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/learn/test_bss.py::test_fastica_whiten_method[None]
  /usr/lib/python3/dist-packages/sklearn/decomposition/_fastica.py:542: FutureWarning: Starting in v1.3, whiten='unit-variance' will be used by default.
    warnings.warn(

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/test_tvips.py: 10 warnings
  /usr/lib/python3/dist-packages/dateutil/parser/_parser.py:1207: UnknownTimezoneWarning: tzname CET identified but not understood.  Pass `tzinfos` argument in order to correctly return a timezone-aware datetime.  In a future version, this will raise an exception.
    warnings.warn("tzname {tzname} identified but not understood.  "

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/test_tvips.py::test_file_writer[True-fake_signal_4D-diffraction-100-0]
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/test_tvips.py::test_file_writer[False-fake_signal_4D-diffraction-100-0]
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/io_plugins/tvips.py:521: UserWarning: The minimum file size for this dataset is 436 bytes
    warnings.warn(f"The minimum file size for this dataset is {minimum_file_size} bytes")

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/test_tvips.py::test_file_writer[True-fake_signal_5D-imaging-100-20]
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/io/test_tvips.py::test_file_writer[False-fake_signal_5D-imaging-100-20]
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/io_plugins/tvips.py:521: UserWarning: The minimum file size for this dataset is 576 bytes
    warnings.warn(f"The minimum file size for this dataset is {minimum_file_size} bytes")

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/learn/test_cluster.py: 5 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/learn/test_lazy_decomposition.py: 11 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/learn/test_ornmf.py: 14 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/model/test_eelsmodel.py: 2 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/model/test_model.py: 9 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/samfire/test_samfire.py: 1 warning
  /usr/lib/python3/dist-packages/_pytest/unraisableexception.py:78: PytestUnraisableExceptionWarning: Exception ignored in: <function tqdm.__del__ at 0xe1b53438>
  
  Traceback (most recent call last):
    File "/usr/lib/python3/dist-packages/tqdm/std.py", line 1162, in __del__
      self.close()
    File "/usr/lib/python3/dist-packages/tqdm/notebook.py", line 288, in close
      self.disp(bar_style='danger', check_delay=False)
      ^^^^^^^^^
  AttributeError: 'tqdm_notebook' object has no attribute 'disp'
  
    warnings.warn(pytest.PytestUnraisableExceptionWarning(msg))

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/learn/test_rpca.py: 18 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/model/test_fit_component.py: 1 warning
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/model/test_linear_model.py: 34 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_2D_tools.py: 28 warnings
  /usr/lib/python3/dist-packages/_pytest/unraisableexception.py:78: PytestUnraisableExceptionWarning: Exception ignored in: <function tqdm.__del__ at 0xe14edb18>
  
  Traceback (most recent call last):
    File "/usr/lib/python3/dist-packages/tqdm/std.py", line 1162, in __del__
      self.close()
    File "/usr/lib/python3/dist-packages/tqdm/notebook.py", line 288, in close
      self.disp(bar_style='danger', check_delay=False)
      ^^^^^^^^^
  AttributeError: 'tqdm_notebook' object has no attribute 'disp'
  
    warnings.warn(pytest.PytestUnraisableExceptionWarning(msg))

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/model/test_eelsmodel.py::TestEELSModelFitting::test_free_edges
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/model/test_eelsmodel.py::TestEELSModelFitting::test_fix_edges
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/model/test_eelsmodel.py::TestEELSModelFitting::test_lazy_free_edges
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/model/test_eelsmodel.py::TestEELSModelFitting::test_lazy_fix_edges
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/model/test_eelsmodel.py::TestFitBackground2D::test_only_current_false
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/model/test_eelsmodel.py::TestFitBackground2D::test_lazy_only_current_false
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/model.py:1890: VisibleDeprecationWarning: The `iterpath` default will change from 'flyback' to 'serpentine' in HyperSpy version 2.0. Change the 'iterpath' argument to other than None to suppress this warning.
    warnings.warn(

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/model/test_model.py::Test_multifit_iterpath::test_model_generator
  /usr/lib/python3/dist-packages/_pytest/unraisableexception.py:78: PytestUnraisableExceptionWarning: Exception ignored in: <function tqdm.__del__ at 0xe1b53438>
  
  Traceback (most recent call last):
    File "/usr/lib/python3/dist-packages/tqdm/std.py", line 1162, in __del__
      self.close()
    File "/usr/lib/python3/dist-packages/tqdm/notebook.py", line 291, in close
      self.disp(bar_style='success', check_delay=False)
      ^^^^^^^^^
  AttributeError: 'tqdm_notebook' object has no attribute 'disp'
  
    warnings.warn(pytest.PytestUnraisableExceptionWarning(msg))

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_1D_tools.py: 10 warnings
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/_signals/signal1d.py:252: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty.
    if np.isnan(shift) or shift == 0:

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_2D_tools.py: 20 warnings
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_2D_tools.py:49: DeprecationWarning: scipy.misc.ascent has been deprecated in SciPy v1.10.0; and will be completely removed in SciPy v1.12.0. Dataset methods have moved into the scipy.datasets module. Use scipy.datasets.ascent instead.
    ref_image = ascent()

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_complex_signal.py: 9 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_hologram_image.py: 6 warnings
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/misc/utils.py:1419: FutureWarning: `seed` is a deprecated argument name for `unwrap_phase`. It will be removed in version 0.23. Please use `rng` instead.
    output = function(test_data, **kwargs)

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_complex_signal.py: 15 warnings
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_hologram_image.py: 10 warnings
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/misc/utils.py:1339: FutureWarning: `seed` is a deprecated argument name for `unwrap_phase`. It will be removed in version 0.23. Please use `rng` instead.
    output_array[islice] = function(data[islice], **kwargs)

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_eds_tem.py::Test_quantification::test_quant_lorimer_warning
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_eds_tem.py::Test_quantification::test_quant_lorimer_ac
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_eds_tem.py::Test_quantification::test_quant_zeta
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_eds_tem.py::Test_quantification::test_quant_cross_section_ac
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_eds_tem.py::Test_quantification::test_lazy_quant_lorimer_warning
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_eds_tem.py::Test_quantification::test_lazy_quant_lorimer_ac
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_eds_tem.py::Test_quantification::test_lazy_quant_zeta
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_eds_tem.py::Test_quantification::test_lazy_quant_cross_section_ac
  /usr/lib/python3/dist-packages/_pytest/unraisableexception.py:78: PytestUnraisableExceptionWarning: Exception ignored in: <function tqdm.__del__ at 0xe1497c08>
  
  Traceback (most recent call last):
    File "/usr/lib/python3/dist-packages/tqdm/std.py", line 1162, in __del__
      self.close()
    File "/usr/lib/python3/dist-packages/tqdm/notebook.py", line 291, in close
      self.disp(bar_style='success', check_delay=False)
      ^^^^^^^^^
  AttributeError: 'tqdm_notebook' object has no attribute 'disp'
  
    warnings.warn(pytest.PytestUnraisableExceptionWarning(msg))

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_find_peaks1D_ohaver.py::TestFindPeaks1DOhaver::test_find_peaks1D_ohaver_high_amp_thres
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_find_peaks1D_ohaver.py::TestFindPeaks1DOhaver::test_lazy_find_peaks1D_ohaver_high_amp_thres
  /usr/lib/python3/dist-packages/scipy/signal/_signaltools.py:1551: UserWarning: kernel_size exceeds volume extent: the volume will be zero-padded.
    warnings.warn('kernel_size exceeds volume extent: the volume will be '

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_2D_tools.py: 10 warnings
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_2D_tools.py:109: DeprecationWarning: scipy.misc.face has been deprecated in SciPy v1.10.0; and will be completely removed in SciPy v1.12.0. Dataset methods have moved into the scipy.datasets module. Use scipy.datasets.face instead.
    im = face(gray=True)

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_hologram_image.py::test_reconstruct_phase_nonstandard[False]
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_hologram_image.py:195: DeprecationWarning: `interp2d` is deprecated!
  `interp2d` is deprecated in SciPy 1.10 and will be removed in SciPy 1.12.0.
  
  For legacy code, nearly bug-for-bug compatible replacements are
  `RectBivariateSpline` on regular grids, and `bisplrep`/`bisplev` for
  scattered 2D data.
  
  In new code, for regular grids use `RegularGridInterpolator` instead.
  For scattered data, prefer `LinearNDInterpolator` or
  `CloughTocher2DInterpolator`.
  
  For more details see
  `https://gist.github.com/ev-br/8544371b40f414b7eaf3fe6217209bff`
  
    phase_interp0 = interp2d(

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_hologram_image.py::test_reconstruct_phase_nonstandard[False]
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_hologram_image.py:198: DeprecationWarning:         `interp2d` is deprecated!
          `interp2d` is deprecated in SciPy 1.10 and will be removed in SciPy 1.12.0.
  
          For legacy code, nearly bug-for-bug compatible replacements are
          `RectBivariateSpline` on regular grids, and `bisplrep`/`bisplev` for
          scattered 2D data.
  
          In new code, for regular grids use `RegularGridInterpolator` instead.
          For scattered data, prefer `LinearNDInterpolator` or
          `CloughTocher2DInterpolator`.
  
          For more details see
          `https://gist.github.com/ev-br/8544371b40f414b7eaf3fe6217209bff`
  
    phase_new0 = phase_interp0(

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_hologram_image.py::test_reconstruct_phase_nonstandard[False]
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_hologram_image.py:203: DeprecationWarning: `interp2d` is deprecated!
  `interp2d` is deprecated in SciPy 1.10 and will be removed in SciPy 1.12.0.
  
  For legacy code, nearly bug-for-bug compatible replacements are
  `RectBivariateSpline` on regular grids, and `bisplrep`/`bisplev` for
  scattered 2D data.
  
  In new code, for regular grids use `RegularGridInterpolator` instead.
  For scattered data, prefer `LinearNDInterpolator` or
  `CloughTocher2DInterpolator`.
  
  For more details see
  `https://gist.github.com/ev-br/8544371b40f414b7eaf3fe6217209bff`
  
    phase_interp1 = interp2d(

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_hologram_image.py::test_reconstruct_phase_nonstandard[False]
  /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_hologram_image.py:206: DeprecationWarning:         `interp2d` is deprecated!
          `interp2d` is deprecated in SciPy 1.10 and will be removed in SciPy 1.12.0.
  
          For legacy code, nearly bug-for-bug compatible replacements are
          `RectBivariateSpline` on regular grids, and `bisplrep`/`bisplev` for
          scattered 2D data.
  
          In new code, for regular grids use `RegularGridInterpolator` instead.
          For scattered data, prefer `LinearNDInterpolator` or
          `CloughTocher2DInterpolator`.
  
          For more details see
          `https://gist.github.com/ev-br/8544371b40f414b7eaf3fe6217209bff`
  
    phase_new1 = phase_interp1(

.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_map_method.py::TestChangingAxes::test_lazy_reducing[False]
.pybuild/cpython3_3.11_hyperspy/build/hyperspy/tests/signals/test_map_method.py::TestChangingAxes::test_lazy_reducing[False]
  /usr/lib/python3/dist-packages/numpy/core/_methods.py:181: RuntimeWarning: invalid value encountered in reduce
    ret = umr_sum(arr, axis, dtype, out, keepdims, where=where)

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
SKIPPED [1] hyperspy/tests/io/test_mrcz.py:34: mrcz not installed
SKIPPED [1] hyperspy/tests/io/test_phenom.py:26: skipping test_phenom tests, requires imagecodecs
SKIPPED [1] hyperspy/tests/io/test_usid.py:10: pyUSID not installed
SKIPPED [1] hyperspy/tests/io/test_zspy.py:29: zarr not installed
SKIPPED [1] hyperspy/tests/signals/test_cuda.py:34: cupy is required
SKIPPED [1] hyperspy/tests/datasets/test_eelsdb.py:53: Unable to connect to EELSdb
SKIPPED [1] hyperspy/tests/datasets/test_eelsdb.py:86: Unable to connect to EELSdb
SKIPPED [1] hyperspy/tests/datasets/test_eelsdb.py:94: Unable to connect to EELSdb
SKIPPED [1] hyperspy/tests/datasets/test_eelsdb.py:103: Unable to connect to EELSdb
SKIPPED [1] hyperspy/tests/datasets/test_eelsdb.py:111: Unable to connect to EELSdb
SKIPPED [1] hyperspy/tests/drawing/test_mpl_testing_setup.py:43: No --mpl command line option
SKIPPED [1] hyperspy/tests/io/test_bruker.py:217: could not import 'hyperspy.io_plugins.unbcf_fast': No module named 'hyperspy.io_plugins.unbcf_fast'
SKIPPED [1] hyperspy/tests/io/test_edax.py:71: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_edax.py:83: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_edax.py:113: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_edax.py:125: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_edax.py:152: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_edax.py:162: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_edax.py:190: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_edax.py:202: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_edax.py:229: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_edax.py:261: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_edax.py:288: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_edax.py:316: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_edax.py:321: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_edax.py:359: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_edax.py:391: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_edax.py:418: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_edax.py:446: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_edax.py:451: download of EDAX test files failed: HTTPSConnectionPool(host='github.com', port=443): Max retries exceeded with url: /hyperspy/hyperspy/blob/e7a323a3bb9b237c24bd9267d2cc4fcb31bb99f3/hyperspy/tests/io/edax_files.zip?raw=true (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPSConnection object at 0xdfa65930>: Failed to establish a new connection: [Errno 111] Connection refused')))
SKIPPED [1] hyperspy/tests/io/test_image.py:136: matplotlib_scalebar is not installed
SKIPPED [1] hyperspy/tests/io/test_tiff.py:741: imagecodecs is required
SKIPPED [1] hyperspy/tests/misc/test_utils.py:152: cupy is required
SKIPPED [1] hyperspy/tests/misc/test_utils.py:160: cupy is required
SKIPPED [1] hyperspy/tests/misc/test_utils.py:174: cupy is required
SKIPPED [4] hyperspy/tests/signals/test_1D_tools.py:308: Ignored on non-Windows OS
SKIPPED [1] hyperspy/tests/signals/test_1D_tools.py:321: Lazy Signals don't work properly with 0 dimension data
SKIPPED [1] hyperspy/tests/signals/test_2D.py:339: LazySignals do not support folding
SKIPPED [1] hyperspy/tests/signals/test_2D.py:347: LazySignals do not support folding
SKIPPED [2] hyperspy/tests/signals/test_3D.py:305: Liner interpolation not supported for lazy signal.
SKIPPED [1] hyperspy/tests/signals/test_eels.py:258: Spikes diagnosis is not supported for lazy signal
SKIPPED [1] hyperspy/tests/signals/test_hologram_image.py:146: Dask array flags not supported
SKIPPED [1] hyperspy/tests/signals/test_hologram_image.py:224: Dask array flags not supported
SKIPPED [32] hyperspy/tests/signals/test_find_peaks2D.py:124: Parallel=True is ignored for lazy signal.
SKIPPED [8] hyperspy/tests/signals/test_find_peaks2D.py:214: no GUI available
SKIPPED [1] hyperspy/tests/signals/test_signal_operators.py:42: Inplace not supported by LazySignals
SKIPPED [1] hyperspy/tests/signals/test_signal_operators.py:64: Inplace not supported by LazySignals
SKIPPED [1] hyperspy/tests/signals/test_signal_operators.py:107: Inplace not supported by LazySignals
SKIPPED [1] hyperspy/tests/signals/test_signal_operators.py:118: Inplace not supported by LazySignals
SKIPPED [1] hyperspy/tests/signals/test_signal_subclass_conversion.py:97: Dask array flags not supported
SKIPPED [1] hyperspy/tests/signals/test_signal_subclass_conversion.py:114: Dask array flags not supported
SKIPPED [1] hyperspy/tests/signals/test_tools.py:232: LazySignals do not support masked arrays
SKIPPED [1] hyperspy/tests/signals/test_tools.py:266: LazySignals do not support masked arrays
SKIPPED [1] hyperspy/tests/signals/test_tools.py:291: LazySignals do not support masked arrays
SKIPPED [1] hyperspy/tests/signals/test_transpose.py:120: LazySignal optimization is tested in test_lazy_tranpose_rechunk
XFAIL hyperspy/tests/drawing/test_utils.py::test_create_figure - reason: agg backend does not support on_close event.
XFAIL hyperspy/tests/io/test_hdf5.py::TestLoadingNewSavedMetadata::test_binary_string - dill is not guaranteed to load across Python versions
XFAIL hyperspy/tests/io/test_tvips.py::test_valid_tvips_file[foo_000.bla]
XFAIL hyperspy/tests/io/test_tvips.py::test_valid_tvips_file[foo_0.tvips]
XFAIL hyperspy/tests/io/test_tvips.py::test_valid_tvips_file[foo_001.tvips]
XFAIL hyperspy/tests/io/test_tvips.py::test_valid_tvips_file[foo_0000.TVIPS]
XFAIL hyperspy/tests/io/test_tvips.py::test_read_fail_version
XFAIL hyperspy/tests/io/test_tvips.py::test_read_fail_wind_axis
XFAIL hyperspy/tests/io/test_tvips.py::test_read_fail_scan_shape
XFAIL hyperspy/tests/io/test_tvips.py::test_write_fail_signal_type
XFAIL hyperspy/tests/io/test_tvips.py::test_file_writer_fail
XPASS hyperspy/tests/model/test_fitting.py::TestModelFitBinnedGlobal::test_fit_shgo Regression introduced in scipy 1.8.0.
XPASS hyperspy/tests/samfire/test_samfire.py::test_multiprocessed Sometimes the number of failed pixels > 3 when using multiprocessing. Unknown reason
FAILED hyperspy/tests/io/test_image.py::test_save_load_cycle_grayscale[bmp-uint32]
FAILED hyperspy/tests/io/test_image.py::test_save_load_cycle_grayscale[jpg-uint32]
FAILED hyperspy/tests/io/test_io.py::test_file_reader_warning - OSError: cann...
FAILED hyperspy/tests/io/test_image.py::test_save_load_cycle_color[png-rgb16]
FAILED hyperspy/tests/io/test_image.py::test_save_load_cycle_color[png-rgba16]
FAILED hyperspy/tests/io/test_image.py::test_save_load_cycle_color[bmp-rgb16]
FAILED hyperspy/tests/io/test_image.py::test_save_load_cycle_color[bmp-rgba16]
FAILED hyperspy/tests/io/test_image.py::test_save_load_cycle_color[gif-rgb16]
FAILED hyperspy/tests/io/test_image.py::test_save_load_cycle_color[gif-rgba16]
FAILED hyperspy/tests/io/test_image.py::test_save_load_cycle_color[jpeg-rgb16]
FAILED hyperspy/tests/io/test_image.py::test_save_load_cycle_kwds[png-uint32]
FAILED hyperspy/tests/io/test_image.py::test_save_load_cycle_kwds[bmp-uint32]
FAILED hyperspy/tests/io/test_image.py::test_save_load_cycle_kwds[jpg-uint32]
FAILED hyperspy/tests/io/test_image.py::test_export_scalebar[png] - OSError: ...
FAILED hyperspy/tests/io/test_image.py::test_export_scalebar[bmp] - OSError: ...
FAILED hyperspy/tests/io/test_image.py::test_export_scalebar[jpg] - OSError: ...
FAILED hyperspy/tests/io/test_image.py::test_export_scalebar_reciprocal - OSE...
FAILED hyperspy/tests/io/test_image.py::test_export_scalebar_undefined_units
FAILED hyperspy/tests/io/test_image.py::test_save_image_navigation - OSError:...
FAILED hyperspy/tests/misc/test_date_time_tools.py::test_serial_date_to_ISO_format
FAILED hyperspy/tests/misc/test_date_time_tools.py::test_ISO_format_to_serial_date
FAILED hyperspy/tests/misc/test_math_tools.py::test_random_state_lazy[None]
FAILED hyperspy/tests/signals/test_2D.py::Test2D::test_lazy_add_gaussian_noise
FAILED hyperspy/tests/signals/test_2D.py::Test2D::test_lazy_add_poisson_noise
FAILED hyperspy/tests/signals/test_2D.py::Test2D::test_lazy_add_poisson_noise_warning
= 25 failed, 4857 passed, 97 skipped, 11 xfailed, 2 xpassed, 623 warnings in 375.22s (0:06:15) =
E: pybuild pybuild:391: test: plugin distutils failed with: exit code=1: cd /<<PKGBUILDDIR>>/.pybuild/cpython3_3.11_hyperspy/build; python3.11 -m pytest --ignore hyperspy/tests/drawing/test_plot_markers.py --ignore hyperspy/tests/drawing/test_plot_signal1d.py --ignore hyperspy/tests/drawing/test_plot_signal2d.py
dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p 3.11 returned exit code 13
make: *** [debian/rules:14: build-arch] Error 25
dpkg-buildpackage: error: debian/rules build-arch subprocess returned exit status 2
--------------------------------------------------------------------------------
Build finished at 2024-01-06T22:22:21Z

Finished
--------


+------------------------------------------------------------------------------+
| Cleanup                                                                      |
+------------------------------------------------------------------------------+

Purging /<<BUILDDIR>>
Not cleaning session: cloned chroot in use
E: Build failure (dpkg-buildpackage died)

+------------------------------------------------------------------------------+
| Summary                                                                      |
+------------------------------------------------------------------------------+

Build Architecture: armhf
Build Type: any
Build-Space: 168880
Build-Time: 380
Distribution: trixie-staging
Fail-Stage: build
Host Architecture: armhf
Install-Time: 300
Job: hyperspy_1.7.3-1
Machine Architecture: arm64
Package: hyperspy
Package-Time: 696
Source-Version: 1.7.3-1
Space: 168880
Status: attempted
Version: 1.7.3-1
--------------------------------------------------------------------------------
Finished at 2024-01-06T22:22:21Z
Build needed 00:11:36, 168880k disk space
Raspbian Package Auto-Building

Build log for hyperspy (1.7.3-1) on armhf
