==> Synchronizing chroot copy [/home/alhp/workspace2/chroot/root] -> [build_bc3d0ebb-db6d-4875-bcae-70b0e80ad30d]...done ==> Making package: python-pandas 1.5.3-3.2 (Sun Dec 10 11:43:39 2023) ==> Retrieving sources... -> Downloading python-pandas-1.5.3.tar.gz... % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0 0 0 0 0 0 0 0 0 --:--:-- --:--:-- --:--:-- 0 100 2732k 0 2732k 0 0 3468k 0 --:--:-- --:--:-- --:--:-- 3468k 100 10.2M 0 10.2M 0 0 5878k 0 --:--:-- 0:00:01 --:--:-- 7772k 100 11.5M 0 11.5M 0 0 5862k 0 --:--:-- 0:00:02 --:--:-- 7404k -> Found fix-pyarrow-10.patch ==> Validating source files with sha256sums... python-pandas-1.5.3.tar.gz ... Passed fix-pyarrow-10.patch ... Passed ==> Making package: python-pandas 1.5.3-3.2 (Sun Dec 10 11:43:47 2023) ==> Checking runtime dependencies... ==> Installing missing dependencies... [?25lresolving dependencies... looking for conflicting packages... Package (27) New Version Net Change extra/blas 3.12.0-2 0.65 MiB extra/cblas 3.12.0-2 0.34 MiB extra/lapack 3.12.0-2 7.48 MiB core/libnsl 2.0.1-1 0.07 MiB core/python 3.11.6-1 75.27 MiB extra/python-annotated-types 0.6.0-1 0.11 MiB extra/python-autocommand 2.2.2-4 0.08 MiB extra/python-fastjsonschema 2.19.0-1 0.30 MiB extra/python-inflect 7.0.0-2 0.39 MiB extra/python-jaraco.context 4.3.0-3 0.04 MiB extra/python-jaraco.functools 3.9.0-1 0.07 MiB extra/python-jaraco.text 3.11.1-3 0.09 MiB extra/python-more-itertools 10.1.0-1 0.63 MiB extra/python-ordered-set 4.1.0-4 0.07 MiB extra/python-packaging 23.2-1 0.53 MiB extra/python-platformdirs 4.1.0-1 0.23 MiB extra/python-pydantic 2.5.2-1 4.78 MiB extra/python-pydantic-core 1:2.14.5-1 5.51 MiB extra/python-six 1.16.0-8 0.12 MiB extra/python-tomli 2.0.1-3 0.11 MiB extra/python-trove-classifiers 2023.11.29-1 0.11 MiB extra/python-typing_extensions 4.8.0-1 0.35 MiB extra/python-validate-pyproject 0.13-1 0.29 MiB extra/python-dateutil 2.8.2-5 1.05 MiB extra/python-numpy 1.26.2-1 47.99 MiB extra/python-pytz 2023.3.post1-1 0.17 MiB extra/python-setuptools 1:68.2.2-1 4.68 MiB Total Installed Size: 151.49 MiB :: Proceed with installation? [Y/n] checking keyring... checking package integrity... loading package files... checking for file conflicts... :: Processing package changes... installing blas... installing cblas... installing lapack... installing libnsl... installing python... Optional dependencies for python python-setuptools: for building Python packages using tooling that is usually bundled with Python [pending] python-pip: for installing Python packages using tooling that is usually bundled with Python python-pipx: for installing Python software not packaged on Arch Linux sqlite: for a default database integration [installed] mpdecimal: for decimal xz: for lzma [installed] tk: for tkinter installing python-numpy... Optional dependencies for python-numpy blas-openblas: faster linear algebra installing python-six... installing python-dateutil... installing python-pytz... installing python-more-itertools... installing python-jaraco.functools... installing python-jaraco.context... installing python-autocommand... installing python-annotated-types... installing python-typing_extensions... installing python-pydantic-core... installing python-pydantic... Optional dependencies for python-pydantic mypy: for type validation with mypy python-dotenv: for .env file support python-email-validator: for email validation python-hypothesis: for hypothesis plugin when using legacy v1 installing python-inflect... installing python-jaraco.text... installing python-ordered-set... installing python-packaging... installing python-platformdirs... installing python-tomli... installing python-fastjsonschema... installing python-trove-classifiers... installing python-validate-pyproject... installing python-setuptools... [?25h==> Checking buildtime dependencies... ==> Installing missing dependencies... [?25lresolving dependencies... looking for conflicting packages... warning: dependency cycle detected: warning: harfbuzz will be installed before its freetype2 dependency warning: dependency cycle detected: warning: mesa will be installed before its libglvnd dependency warning: insufficient columns available for table display Packages (218) abseil-cpp-20230802.1-1 apache-orc-1.9.0-5 argon2-20190702-5 arrow-14.0.0-1 avahi-1:0.8+r189+g35bb1ba-1 blosc-1.21.5-1 c-ares-1.23.0-1 crypto++-8.9.0-1 cryptsetup-2.6.1-3 dbus-1.14.10-1 default-cursors-2-1 device-mapper-2.03.22-2 double-conversion-3.3.0-1 duktape-2.7.0-6 fontconfig-2:2.14.2-1 freetype2-2.13.2-1 fribidi-1.0.13-2 gdal-3.8.1-2 geos-3.12.0-1 gflags-2.2.2-4 giflib-5.2.1-2 google-glog-0.6.0-1 graphite-1:1.3.14-3 grpc-1.59.3-1 harfbuzz-8.3.0-1 hdf5-1.14.3-1 hwdata-0.377-1 jbigkit-2.1-7 kbd-2.6.3-1 kmod-31-1 lcms2-2.16-1 libaec-1.0.6-1 libcups-1:2.4.7-2 libdaemon-0.14-5 libdeflate-1.19-1 libdrm-2.4.118-1 libedit-20230828_3.1-1 libevdev-1.13.1-1 libfreexl-2.0.0-1 libgeotiff-1.7.1-2 libglvnd-1.7.0-1 libgudev-238-1 libice-1.1.1-2 libimagequant-4.2.2-2 libinput-1.24.0-1 libjpeg-turbo-3.0.1-1 libomxil-bellagio-0.9.3-4 libpciaccess-0.17-1 libpng-1.6.40-2 libproxy-0.5.3-2 libraqm-0.10.1-1 librttopo-1.1.0-5 libsm-1.2.4-1 libspatialite-5.1.0-1 libtiff-4.6.0-2 libunwind-1.7.2-1 libutf8proc-2.9.0-1 libwacom-2.9.0-2 libx11-1.8.7-1 libxau-1.0.11-2 libxcb-1.16-1 libxdamage-1.1.6-1 libxdmcp-1.1.4-2 libxext-1.3.5-1 libxfixes-6.0.1-1 libxi-1.8.1-1 libxkbcommon-1.6.0-1 libxkbcommon-x11-1.6.0-1 libxmu-1.1.4-1 libxrender-0.9.11-1 libxshmfence-1.3.2-1 libxslt-1.1.39-1 libxt-1.3.0-1 libxxf86vm-1.1.5-1 libyaml-0.2.5-2 llvm-libs-16.0.6-1 llvm14-libs-14.0.6-3 lm_sensors-1:3.6.0.r41.g31d1f125-2 lzo-2.10-5 md4c-0.4.8-1 mesa-1:23.2.1-2 minizip-1:1.3-2 mpdecimal-2.5.1-1 mtdev-1.1.6-2 ocl-icd-2.3.2-1 openjpeg2-2.5.0-3 popt-1.19-1 postgresql-libs-16.1-1 proj-9.3.1-1 protobuf-25.1-1 python-argcomplete-2.0.0-2 python-asttokens-2.4.1-1 python-attrs-23.1.0-1 python-certifi-2023.11.17-1 python-charset-normalizer-3.3.2-1 python-click-8.1.7-1 python-click-plugins-1.1.1-10 python-cligj-0.7.2-4 python-cloudpickle-2.2.1-2 python-contourpy-1.2.0-1 python-cycler-0.12.1-1 python-decorator-5.1.1-3 python-defusedxml-0.7.1-5 python-et-xmlfile-1.1-4 python-execnet-2.0.2-1 python-executing-2.0.0-1 python-fiona-1.9.5-2 python-fonttools-4.46.0-1 python-greenlet-3.0.1-1 python-idna-3.4-3 python-importlib-metadata-5.0.0-5 python-iniconfig-2.0.0-4 python-jedi-0.19.1-1 python-jmespath-1.0.1-2 python-joblib-1.3.2-1 python-kiwisolver-1.4.5-1 python-llvmlite-0.41.0-1 python-locket-1.0.0-3 python-markupsafe-2.1.3-1 python-matplotlib-inline-0.1.6-4 python-munch-4.0.0-1 python-pandas-1.5.3-3 python-parso-1:0.8.3-2 python-partd-1.4.0-2 python-patsy-0.5.3-2 python-pexpect-4.8.0-7 python-pillow-10.1.0-2 python-pluggy-1.3.0-1 python-pooch-1.8.0-1 python-prompt_toolkit-3.0.41-1 python-ptyprocess-0.7.0-5 python-pure-eval-0.2.2-3 python-pygments-2.17.2-1 python-pyparsing-3.1.1-1 python-pyproj-3.6.1-1 python-pyqt5-sip-12.13.0-1 python-requests-2.31.0-1 python-setuptools-scm-8.0.4-1 python-shapely-2.0.2-1 python-sortedcontainers-2.4.0-4 python-soupsieve-2.5-1 python-stack-data-0.6.3-1 python-threadpoolctl-3.2.0-1 python-traitlets-5.14.0-1 python-urllib3-1.26.18-1 python-wcwidth-0.2.9-1 python-webencodings-0.5.1-10 python-yaml-6.0.1-2 python-zipp-3.17.0-1 qhull-2020.2-4 qt5-base-5.15.11+kde+r147-1 qt5-translations-5.15.11-1 re2-1:20231101-1 shared-mime-info-2.4-1 snappy-1.1.10-1 systemd-255-1 thrift-0.19.0-1 tslib-1.22-1 unixodbc-2.3.12-1 vulkan-icd-loader-1.3.269-1 wayland-1.22.0-1 xcb-proto-1.16.0-1 xcb-util-0.4.1-1 xcb-util-image-0.4.1-2 xcb-util-keysyms-0.4.1-4 xcb-util-renderutil-0.3.10-1 xcb-util-wm-0.4.2-1 xdg-utils-1.2.0r25+g0f49cf5-1 xerces-c-3.2.4-3 xkeyboard-config-2.40-1 xorg-xprop-1.2.6-1 xorg-xset-1.2.5-1 xorgproto-2023.2-1 cython-3.0.6-1 ipython-8.18.1-1 python-beautifulsoup4-4.12.2-1 python-blosc-1.11.1-2 python-botocore-1.31.64-1 python-bottleneck-1.3.7-2 python-brotli-1.1.0-1 python-cftime-1.6.3-1 python-dask-2023.8.0-1 python-fsspec-2023.9.2-1 python-geopandas-0.14.0-1 python-html5lib-1.1-13 python-hypothesis-6.91.1-1 python-jinja-1:3.1.2-4 python-lxml-4.9.2-3 python-matplotlib-3.8.1-1 python-numba-0.58.1-1 python-numexpr-2.8.7-1 python-odfpy-1.4.2-4 python-openpyxl-3.1.2-3 python-pandas-datareader-0.10.0-3 python-psycopg2-2.9.9-1 python-pyarrow-14.0.0-1 python-pymysql-1.1.0-1 python-pyqt5-5.15.10-1 python-pytables-3.7.0-5 python-pytest-7.4.3-1 python-pytest-asyncio-0.22.0-1 python-pytest-xdist-3.5.0-1 python-qtpy-2.4.0-1 python-scikit-learn-1.3.2-2 python-scipy-1.11.4-1 python-seaborn-0.12.2-3 python-snappy-0.6.1-3 python-sqlalchemy-1.4.44-2 python-statsmodels-0.14.0-3 python-tabulate-0.9.0-2 python-toolz-0.12.0-3 python-xarray-2023.01.0-3 python-xlrd-2.0.1-4 python-xlsxwriter-3.1.9-1 python-xlwt-1.3.0-7 python-zstandard-0.22.0-1 xclip-0.13-4 xsel-1.2.1-1 Total Download Size: 34.62 MiB Total Installed Size: 1494.04 MiB :: Proceed with installation? [Y/n] :: Retrieving packages... python-statsmodels-0.14.0-3-x86_64 downloading... python-scikit-learn-1.3.2-2-x86_64 downloading... python-numba-0.58.1-1-x86_64 downloading... python-pyarrow-14.0.0-1-x86_64 downloading... python-sqlalchemy-1.4.44-2-x86_64 downloading... python-geopandas-0.14.0-1-any downloading... python-fiona-1.9.5-2-x86_64 downloading... python-seaborn-0.12.2-3-any downloading... python-xlsxwriter-3.1.9-1-any downloading... python-odfpy-1.4.2-4-any downloading... python-xlwt-1.3.0-7-any downloading... python-xlrd-2.0.1-4-any downloading... python-pandas-datareader-0.10.0-3-any downloading... python-qtpy-2.4.0-1-any downloading... python-bottleneck-1.3.7-2-x86_64 downloading... python-pymysql-1.1.0-1-any downloading... python-tabulate-0.9.0-2-any downloading... python-blosc-1.11.1-2-x86_64 downloading... checking keyring... checking package integrity... loading package files... checking for file conflicts... :: Processing package changes... installing cython... installing python-iniconfig... installing python-pluggy... installing python-pytest... installing python-pytest-asyncio... installing python-execnet... installing python-pytest-xdist... installing python-attrs... installing python-sortedcontainers... installing python-hypothesis... Optional dependencies for python-hypothesis python-black: for CLI and ghostwriter python-click: for CLI [pending] python-dateutil: for date support [installed] python-django: for django module python-dpcontracts: for contracts support python-faker: for fakefactory and django module python-lark-parser: for lark module python-libcst: for codemods module python-numpy: for numpy module [installed] python-pandas: for pandas support [pending] python-pytest: for pytest module [installed] python-pytz: for datetime and django module [installed] python-redis: for redis support python-rich: for CLI installing python-pandas... Optional dependencies for python-pandas python-pandas-datareader: pandas.io.data replacement (recommended) [pending] python-numexpr: accelerating certain numerical operations (recommended) [pending] python-bottleneck: accelerating certain types of nan evaluations (recommended) [pending] python-matplotlib: plotting [pending] python-jinja: conditional formatting with DataFrame.style [pending] python-tabulate: printing in Markdown-friendly format [pending] python-scipy: miscellaneous statistical functions [pending] python-numba: alternative execution engine [pending] python-xarray: pandas-like API for N-dimensional data [pending] python-xlrd: Excel XLS input [pending] python-xlwt: Excel XLS output [pending] python-openpyxl: Excel XLSX input/output [pending] python-xlsxwriter: alternative Excel XLSX output [pending] python-beautifulsoup4: read_html function (in any case) [pending] python-html5lib: read_html function (and/or python-lxml) [pending] python-lxml: read_xml, to_xml and read_html function (and/or python-html5lib) [pending] python-sqlalchemy: SQL database support [pending] python-psycopg2: PostgreSQL engine for sqlalchemy [pending] python-pymysql: MySQL engine for sqlalchemy [pending] python-pytables: HDF5-based reading / writing [pending] python-blosc: for msgpack compression using blosc [pending] zlib: compression for msgpack [installed] python-pyarrow: Parquet, ORC and feather reading/writing [pending] python-fsspec: handling files aside from local and HTTP [pending] python-pyqt5: read_clipboard function (only one needed) [pending] python-qtpy: read_clipboard function (only one needed) [pending] xclip: read_clipboard function (only one needed) [pending] xsel: read_clipboard function (only one needed) [pending] python-brotli: Brotli compression [pending] python-snappy: Snappy compression [pending] python-zstandard: Zstandard (zstd) compression [pending] installing libxslt... Optional dependencies for libxslt python: Python bindings [installed] installing python-lxml... Optional dependencies for python-lxml python-beautifulsoup4: support for beautifulsoup parser to parse not well formed HTML [pending] python-cssselect: support for cssselect python-html5lib: support for html5lib parser [pending] python-lxml-docs: offline docs installing python-charset-normalizer... installing python-idna... installing python-urllib3... Optional dependencies for python-urllib3 python-brotli: Brotli support [pending] python-certifi: security support [pending] python-cryptography: security support python-idna: security support [installed] python-pyopenssl: security support python-pysocks: SOCKS support installing python-requests... Optional dependencies for python-requests python-chardet: alternative character encoding library python-pysocks: SOCKS proxy support installing python-pandas-datareader... installing python-numexpr... installing python-bottleneck... installing libpng... installing graphite... Optional dependencies for graphite graphite-docs: Documentation installing harfbuzz... Optional dependencies for harfbuzz harfbuzz-utils: utilities installing freetype2... installing python-contourpy... Optional dependencies for python-contourpy python-matplotlib: matplotlib renderer [pending] installing python-cycler... installing python-fonttools... Optional dependencies for python-fonttools python-brotli: to compress/decompress WOFF 2.0 web fonts [pending] python-fs: to read/write UFO source files python-lxml: faster backend for XML files reading/writing [installed] python-lz4: for graphite type tables in ttLib/tables python-matplotlib: for visualizing DesignSpaceDocument and resulting VariationModel [pending] python-pyqt5: for drawing glyphs with Qt’s QPainterPath [pending] python-reportlab: to drawing glyphs as PNG images python-scipy: for finding wrong contour/component order between different masters [pending] python-sympy: for symbolic font statistics analysis python-uharfbuzz: to use the Harfbuzz Repacker for packing GSUB/GPOS tables python-unicodedata2: for displaying the Unicode character names when dumping the cmap table with ttx python-zopfli: faster backend fom WOFF 1.0 web fonts compression installing python-kiwisolver... installing jbigkit... installing libjpeg-turbo... Optional dependencies for libjpeg-turbo java-runtime>11: for TurboJPEG Java wrapper installing libtiff... Optional dependencies for libtiff freeglut: for using tiffgt installing lcms2... installing fribidi... installing libraqm... installing openjpeg2... installing libimagequant... installing xcb-proto... installing xorgproto... installing libxdmcp... installing libxau... installing libxcb... installing python-pillow... Optional dependencies for python-pillow libwebp: for webp images tk: for the ImageTK module python-olefile: OLE2 file support python-pyqt6: for the ImageQt module installing python-pyparsing... Optional dependencies for python-pyparsing python-railroad-diagrams: for generating Railroad Diagrams python-jinja: for generating Railroad Diagrams [pending] installing qhull... installing python-matplotlib... Optional dependencies for python-matplotlib tk: Tk{Agg,Cairo} backends pyside2: alternative for Qt5{Agg,Cairo} backends pyside6: alternative for Qt6{Agg,Cairo} backends python-pyqt5: Qt5{Agg,Cairo} backends [pending] python-pyqt6: Qt6{Agg,Cairo} backends python-gobject: for GTK{3,4}{Agg,Cairo} backend python-wxpython: WX{Agg,Cairo} backend python-cairo: {GTK{3,4},Qt{5,6},Tk,WX}Cairo backends python-cairocffi: alternative for Cairo backends python-tornado: WebAgg backend ffmpeg: for saving movies imagemagick: for saving animated gifs ghostscript: usetex dependencies texlive-binextra: usetex dependencies texlive-fontsrecommended: usetex dependencies texlive-latexrecommended: usetex usage with pdflatex python-certifi: https support [pending] installing python-markupsafe... installing python-jinja... Optional dependencies for python-jinja python-babel: for i18n support installing python-tabulate... Optional dependencies for python-tabulate python-numpy: NumPy array support [installed] python-pandas: pandas.DataFrame support [installed] python-wcwidth: wide-character support [pending] installing python-pooch... Optional dependencies for python-pooch python-paramiko: for SFTP downloads python-tqdm: for printing a download progress bar installing python-scipy... Optional dependencies for python-scipy python-pillow: for image saving module [installed] installing libedit... installing llvm14-libs... installing python-llvmlite... installing python-numba... Optional dependencies for python-numba onetbb: TBB threading backend openmp: OpenMP threading backend python-cffi: use of CFFI bindings in compiled functions python-colorama: error message highlighting python-scipy: cython bindings used in np.linalg.* support [installed] python-jinja: “pretty” type annotation output (HTML) via the CLI [installed] python-pyelftools: for code generation python-pygments: “pretty” type annotation [pending] python-pyyaml: use of a .numba_config.yaml file for storing per project configuration options [pending] python-psutil: for sysinfo installing python-xarray... Optional dependencies for python-xarray python-netcdf4: netCDF4 support python-scipy: interpolation features & fallback for netCDF3 support [installed] python-cftime: datetimes support for non-standard calendars or distant dates [pending] python-bottleneck: faster NaN-skipping and rolling window aggregations [installed] python-dask: parallel computation [pending] python-distributed: parallel computation python-matplotlib: plotting support [installed] python-seaborn: better color palettes for plots [pending] python-pint: units of measure support installing python-xlrd... installing python-xlwt... installing python-et-xmlfile... installing python-openpyxl... Optional dependencies for python-openpyxl python-pillow: needed to include images [installed] python-lxml: alternative XML backend [installed] python-defusedxml: guard against various XML vulnerabilities [pending] python-pandas: for iteration over Pandas DataFrames [installed] installing python-xlsxwriter... installing python-soupsieve... installing python-beautifulsoup4... Optional dependencies for python-beautifulsoup4 python-chardet: to autodetect character encodings python-lxml: alternative HTML parser [installed] python-html5lib: alternative HTML parser [pending] installing python-webencodings... installing python-html5lib... Optional dependencies for python-html5lib python-lxml: lxml treebuilder [installed] python-genshi: genshi treewalker installing python-greenlet... installing python-sqlalchemy... Optional dependencies for python-sqlalchemy python-psycopg2: connect to PostgreSQL database [pending] installing postgresql-libs... installing python-psycopg2... installing python-pymysql... Optional dependencies for python-pymysql mariadb: for using a local MariaDB instance python-cryptography: for RSA cryptography python-pynacl: for ed25519 cryptography installing snappy... installing blosc... installing lzo... installing libaec... installing hdf5... installing python-pytables... installing python-blosc... Optional dependencies for python-blosc python-numpy: for tests and benchmarks [installed] installing abseil-cpp... installing protobuf... installing apache-orc... installing gflags... installing c-ares... installing re2... installing grpc... installing google-glog... installing libutf8proc... installing thrift... Optional dependencies for thrift qt5-base: TQTcpServer (Qt5) support [pending] installing arrow... installing python-setuptools-scm... installing python-pyarrow... Optional dependencies for python-pyarrow python-cffi: interact with C code python-pandas: Pandas integration [installed] python-fsspec: Filesystem Spec support [pending] installing python-fsspec... Optional dependencies for python-fsspec python-aiohttp: HTTP support python-distributed: Dask support python-libarchive-c: archives support python-lz4: LZ4 compression support python-paramiko: SFTP support python-pyarrow: Arrow/Parquet support [installed] python-pygit2: git support python-requests: web protocols support [installed] python-smbprotocol: SMB support python-snappy: snappy compression support [pending] python-zstandard: zstandard (zstd) compression support [pending] installing python-pyqt5-sip... installing xcb-util-keysyms... installing xcb-util-renderutil... installing libx11... installing libxext... installing libpciaccess... installing libdrm... Optional dependencies for libdrm cairo: needed for modetest tool installing libunwind... installing libxfixes... installing libxdamage... installing libxshmfence... installing libxxf86vm... installing llvm-libs... installing lm_sensors... Optional dependencies for lm_sensors rrdtool: for logging with sensord perl: for sensor detection and configuration convert [installed] installing vulkan-icd-loader... Optional dependencies for vulkan-icd-loader vulkan-driver: packaged vulkan driver installing default-cursors... Optional dependencies for default-cursors adwaita-cursors: default cursor theme installing wayland... installing libomxil-bellagio... installing mesa... Optional dependencies for mesa opengl-man-pages: for the OpenGL API man pages installing libglvnd... installing fontconfig... Creating fontconfig configuration... Rebuilding fontconfig cache... installing libice... installing libsm... installing libxt... installing libxmu... installing xorg-xset... installing xorg-xprop... installing xdg-utils... Optional dependencies for xdg-utils kde-cli-tools: for KDE Plasma5 support in xdg-open exo: for Xfce support in xdg-open pcmanfm: for LXDE support in xdg-open perl-file-mimeinfo: for generic support in xdg-open perl-net-dbus: Perl extension to dbus used in xdg-screensaver perl-x11-protocol: Perl X11 protocol used in xdg-screensaver installing shared-mime-info... installing xcb-util-wm... installing libxrender... installing libxi... installing xcb-util... installing xcb-util-image... installing tslib... installing mtdev... installing device-mapper... installing popt... installing argon2... installing cryptsetup... installing dbus... installing kbd... installing kmod... installing hwdata... installing systemd... warning: directory permissions differ on /var/log/journal/ filesystem: 755 package: 2755 Creating group 'sys' with GID 3. Creating group 'mem' with GID 8. Creating group 'ftp' with GID 11. Creating group 'mail' with GID 12. Creating group 'log' with GID 19. Creating group 'smmsp' with GID 25. Creating group 'proc' with GID 26. Creating group 'games' with GID 50. Creating group 'lock' with GID 54. Creating group 'network' with GID 90. Creating group 'floppy' with GID 94. Creating group 'scanner' with GID 96. Creating group 'power' with GID 98. Creating group 'nobody' with GID 65534. Creating group 'adm' with GID 999. Creating group 'wheel' with GID 998. Creating group 'utmp' with GID 997. Creating group 'audio' with GID 996. Creating group 'disk' with GID 995. Creating group 'input' with GID 994. Creating group 'kmem' with GID 993. Creating group 'kvm' with GID 992. Creating group 'lp' with GID 991. Creating group 'optical' with GID 990. Creating group 'render' with GID 989. Creating group 'sgx' with GID 988. Creating group 'storage' with GID 987. Creating group 'tty' with GID 5. Creating group 'uucp' with GID 986. Creating group 'video' with GID 985. Creating group 'users' with GID 984. Creating group 'groups' with GID 983. Creating group 'systemd-journal' with GID 982. Creating group 'rfkill' with GID 981. Creating group 'bin' with GID 1. Creating user 'bin' (n/a) with UID 1 and GID 1. Creating group 'daemon' with GID 2. Creating user 'daemon' (n/a) with UID 2 and GID 2. Creating user 'mail' (n/a) with UID 8 and GID 12. Creating user 'ftp' (n/a) with UID 14 and GID 11. Creating group 'http' with GID 33. Creating user 'http' (n/a) with UID 33 and GID 33. Creating user 'nobody' (Kernel Overflow User) with UID 65534 and GID 65534. Creating group 'dbus' with GID 81. Creating user 'dbus' (System Message Bus) with UID 81 and GID 81. Creating group 'systemd-coredump' with GID 980. Creating user 'systemd-coredump' (systemd Core Dumper) with UID 980 and GID 980. Creating group 'systemd-network' with GID 979. Creating user 'systemd-network' (systemd Network Management) with UID 979 and GID 979. Creating group 'systemd-oom' with GID 978. Creating user 'systemd-oom' (systemd Userspace OOM Killer) with UID 978 and GID 978. Creating group 'systemd-journal-remote' with GID 977. Creating user 'systemd-journal-remote' (systemd Journal Remote) with UID 977 and GID 977. Creating group 'systemd-journal-upload' with GID 976. Creating user 'systemd-journal-upload' (systemd Journal Upload) with UID 976 and GID 976. Creating group 'systemd-resolve' with GID 975. Creating user 'systemd-resolve' (systemd Resolver) with UID 975 and GID 975. Creating group 'systemd-timesync' with GID 974. Creating user 'systemd-timesync' (systemd Time Synchronization) with UID 974 and GID 974. Creating group 'tss' with GID 973. Creating user 'tss' (tss user for tpm2) with UID 973 and GID 973. Creating group 'uuidd' with GID 68. Creating user 'uuidd' (n/a) with UID 68 and GID 68. Created symlink /etc/systemd/system/getty.target.wants/getty@tty1.service → /usr/lib/systemd/system/getty@.service. Created symlink /etc/systemd/system/multi-user.target.wants/remote-fs.target → /usr/lib/systemd/system/remote-fs.target. Optional dependencies for systemd libmicrohttpd: systemd-journal-gatewayd and systemd-journal-remote quota-tools: kernel-level quota management systemd-sysvcompat: symlink package to provide sysvinit binaries systemd-ukify: combine kernel and initrd into a signed Unified Kernel Image polkit: allow administration as unprivileged user curl: systemd-journal-upload, machinectl pull-tar and pull-raw [installed] gnutls: systemd-journal-gatewayd and systemd-journal-remote [installed] qrencode: show QR codes iptables: firewall features libbpf: support BPF programs libpwquality: check password quality libfido2: unlocking LUKS2 volumes with FIDO2 token libp11-kit: support PKCS#11 [installed] tpm2-tss: unlocking LUKS2 volumes with TPM2 [installed] installing libevdev... installing libgudev... installing libwacom... Optional dependencies for libwacom python-libevdev: for libwacom-show-stylus python-pyudev: for libwacom-show-stylus installing libinput... Optional dependencies for libinput gtk4: libinput debug-gui python-pyudev: libinput measure python-libevdev: libinput measure installing xkeyboard-config... installing libxkbcommon... Optional dependencies for libxkbcommon libxkbcommon-x11: xkbcli interactive-x11 [pending] wayland: xkbcli interactive-wayland [installed] installing libxkbcommon-x11... installing duktape... installing libproxy... installing libdaemon... installing avahi... Optional dependencies for avahi gtk3: avahi-discover, avahi-discover-standalone, bshell, bssh, bvnc libevent: libevent bindings [installed] nss-mdns: NSS support for mDNS python-dbus: avahi-bookmarks, avahi-discover python-gobject: avahi-bookmarks, avahi-discover python-twisted: avahi-bookmarks qt5-base: qt5 bindings [pending] installing libcups... installing double-conversion... installing md4c... installing qt5-translations... installing qt5-base... Optional dependencies for qt5-base qt5-svg: to use SVG icon themes qt5-wayland: to run Qt applications in a Wayland session postgresql-libs: PostgreSQL driver [installed] mariadb-libs: MariaDB driver unixodbc: ODBC driver [pending] libfbclient: Firebird/iBase driver freetds: MS SQL driver gtk3: GTK platform plugin perl: for fixqt4headers and syncqt [installed] installing python-pyqt5... Optional dependencies for python-pyqt5 python-opengl: enable OpenGL 3D graphics in PyQt applications python-dbus: for python-dbus mainloop support qt5-multimedia: QtMultimedia, QtMultimediaWidgets qt5-tools: QtHelp, QtDesigner qt5-svg: QtSvg qt5-xmlpatterns: QtXmlPatterns qt5-declarative: QtQml, qmlplugin qt5-serialport: QtSerialPort qt5-websockets: QtWebSockets qt5-connectivity: QtNfc, QtBluetooth qt5-x11extras: QtX11Extras qt5-remoteobjects: QtRemoteObjects qt5-speech: QtTextToSpeech qt5-quick3d: QtQuick3D qt5-location: QtLocation, QtPositioning qt5-sensors: QtSensors qt5-webchannel: QtWebChannel installing python-qtpy... Optional dependencies for python-qtpy python-pyqt5: Qt5 Python bindings [installed] python-pyqt6: Qt6 Python bindings python-pyqt5-webengine: Qt5-WebEngine python bindings python-pyqt6-webengine: Qt6-WebEngine python bindings pyside2: PySide Qt5 Python bindings pyside6: PySide Qt6 Python bindings installing xclip... installing xsel... installing python-brotli... installing python-snappy... installing python-zstandard... Optional dependencies for python-zstandard python-cffi installing mpdecimal... installing python-click... installing python-cloudpickle... installing python-zipp... installing python-importlib-metadata... installing python-locket... installing python-toolz... installing python-partd... Optional dependencies for python-partd python-blosc [installed] python-numpy [installed] python-pandas [installed] python-pyzmq installing libyaml... installing python-yaml... installing python-dask... Optional dependencies for python-dask python-distributed: distributed computing python-numpy: arrays and dataframes support [installed] python-pandas: dataframes support [installed] python-psutil: more accurate CPU count python-pyarrow: Apache Arrow, for parquet support [installed] python-sqlalchemy: writing and reading from SQL databases [installed] python-xxhash: faster hashing of arrays installing python-cftime... installing python-patsy... Optional dependencies for python-patsy python-nose: needed for integrated test suite python-scipy: needed for spline-related functions [installed] installing python-statsmodels... Optional dependencies for python-statsmodels jupyter-notebook: needed to run the notebooks python-cvxopt: regularized fitting of some models python-joblib: accelerate distributed estimation for certain models [pending] python-matplotlib: plotting functions [installed] installing python-joblib... Optional dependencies for python-joblib python-numpy: for array manipulation [installed] python-lz4: for compressed serialization installing python-threadpoolctl... installing python-scikit-learn... Optional dependencies for python-scikit-learn python-matplotlib: plotting capabilities [installed] installing python-seaborn... Optional dependencies for python-seaborn python-scipy: clustering matrices and some advanced options [installed] python-statsmodels: advanced regression plots [installed] installing proj... installing crypto++... installing libdeflate... installing minizip... installing libfreexl... installing geos... installing libgeotiff... installing giflib... installing unixodbc... installing ocl-icd... Optional dependencies for ocl-icd opencl-driver: packaged opencl driver installing librttopo... installing libspatialite... installing xerces-c... installing gdal... Optional dependencies for gdal arrow: Arrow/Parquet support [installed] cfitsio: FITS support hdf5: HDF5 support [installed] libheif: HEIF support libjxl: JPEG XL support mariadb-libs: MySQL support netcdf: netCDF support openexr: EXR support openjpeg2: JP2 support [installed] podofo: PDF support poppler: PDF support postgresql-libs: PostgreSQL support [installed] libwebp: WebP support installing python-certifi... installing python-click-plugins... installing python-cligj... installing python-munch... installing python-fiona... Optional dependencies for python-fiona python-shapely: fio-calc functionnality [pending] python-boto3: s3 support installing python-pyproj... installing python-shapely... Optional dependencies for python-shapely python-numpy: for shapely.vectorized submodule [installed] installing python-geopandas... Optional dependencies for python-geopandas python-pygeos: alternative backend python-pyogrio: vectorized IO for GDAL/OGR python-rtree: spatial access methods python-psycopg2: PostGIS access [installed] python-sqlalchemy: other geodatabase access [installed] python-geopy: geocoding python-matplotlib: plotting [installed] installing python-defusedxml... installing python-odfpy... installing python-decorator... installing python-parso... installing python-jedi... installing python-argcomplete... installing python-traitlets... installing python-matplotlib-inline... Optional dependencies for python-matplotlib-inline python-matplotlib [installed] installing python-ptyprocess... installing python-pexpect... installing python-pygments... installing python-wcwidth... installing python-prompt_toolkit... installing python-asttokens... installing python-executing... installing python-pure-eval... installing python-stack-data... installing ipython... Optional dependencies for ipython python-black: to auto format with Black python-pickleshare: for the ip.db database yapf: to auto format with YAPF installing python-jmespath... installing python-botocore... Optional dependencies for python-botocore python-awscrt :: Running post-transaction hooks... ( 1/13) Creating system user accounts... Creating group 'avahi' with GID 972. Creating user 'avahi' (Avahi mDNS/DNS-SD daemon) with UID 972 and GID 972. ( 2/13) Updating journal message catalog... ( 3/13) Reloading system manager configuration... Skipped: Current root is not booted. ( 4/13) Reloading user manager configuration... Skipped: Current root is not booted. ( 5/13) Updating udev hardware database... ( 6/13) Applying kernel sysctl settings... Skipped: Current root is not booted. ( 7/13) Creating temporary files... ( 8/13) Reloading device manager configuration... Skipped: Device manager is not running. ( 9/13) Arming ConditionNeedsUpdate... (10/13) Updating the MIME type database... (11/13) Updating fontconfig configuration... (12/13) Reloading system bus configuration... Skipped: Current root is not booted. (13/13) Updating fontconfig cache... [?25h==> Retrieving sources... -> Found python-pandas-1.5.3.tar.gz -> Found fix-pyarrow-10.patch ==> WARNING: Skipping all source file integrity checks. ==> Extracting sources... -> Extracting python-pandas-1.5.3.tar.gz with bsdtar ==> Starting prepare()... patching file pandas/compat/pyarrow.py patching file pandas/tests/arrays/interval/test_interval.py patching file pandas/tests/arrays/period/test_arrow_compat.py Hunk #2 succeeded at 28 with fuzz 1 (offset -2 lines). ==> Starting build()... /startdir/src/pandas-1.5.3/setup.py:19: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html from pkg_resources import parse_version Compiling pandas/_libs/algos.pyx because it changed. Compiling pandas/_libs/arrays.pyx because it changed. Compiling pandas/_libs/groupby.pyx because it changed. Compiling pandas/_libs/hashing.pyx because it changed. Compiling pandas/_libs/hashtable.pyx because it changed. Compiling pandas/_libs/index.pyx because it changed. Compiling pandas/_libs/indexing.pyx because it changed. Compiling pandas/_libs/internals.pyx because it changed. Compiling pandas/_libs/interval.pyx because it changed. Compiling pandas/_libs/join.pyx because it changed. Compiling pandas/_libs/lib.pyx because it changed. Compiling pandas/_libs/missing.pyx because it changed. Compiling pandas/_libs/parsers.pyx because it changed. Compiling pandas/_libs/reduction.pyx because it changed. Compiling pandas/_libs/ops.pyx because it changed. Compiling pandas/_libs/ops_dispatch.pyx because it changed. Compiling pandas/_libs/properties.pyx because it changed. Compiling pandas/_libs/reshape.pyx because it changed. Compiling pandas/_libs/sparse.pyx because it changed. Compiling pandas/_libs/tslib.pyx because it changed. Compiling pandas/_libs/tslibs/base.pyx because it changed. Compiling pandas/_libs/tslibs/ccalendar.pyx because it changed. Compiling pandas/_libs/tslibs/dtypes.pyx because it changed. Compiling pandas/_libs/tslibs/conversion.pyx because it changed. Compiling pandas/_libs/tslibs/fields.pyx because it changed. Compiling pandas/_libs/tslibs/nattype.pyx because it changed. Compiling pandas/_libs/tslibs/np_datetime.pyx because it changed. Compiling pandas/_libs/tslibs/offsets.pyx because it changed. Compiling pandas/_libs/tslibs/parsing.pyx because it changed. Compiling pandas/_libs/tslibs/period.pyx because it changed. Compiling pandas/_libs/tslibs/strptime.pyx because it changed. Compiling pandas/_libs/tslibs/timedeltas.pyx because it changed. Compiling pandas/_libs/tslibs/timestamps.pyx because it changed. Compiling pandas/_libs/tslibs/timezones.pyx because it changed. Compiling pandas/_libs/tslibs/tzconversion.pyx because it changed. Compiling pandas/_libs/tslibs/vectorized.pyx because it changed. Compiling pandas/_libs/testing.pyx because it changed. Compiling pandas/_libs/window/aggregations.pyx because it changed. Compiling pandas/_libs/window/indexers.pyx because it changed. Compiling pandas/_libs/writers.pyx because it changed. Compiling pandas/io/sas/sas.pyx because it changed. warning: pandas/_libs/algos.pyx:153:42: Unknown type declaration 'bint' in annotation, ignoring performance hint: pandas/_libs/algos.pyx:255:5: Exception check on 'kth_smallest_c' will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/algos.pyx:1034:5: Exception check on 'rank_sorted_1d' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:316:31: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/algos.pyx:316:31: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/algos.pyx:316:31: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/algos.pyx:316:31: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/algos.pyx:316:31: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/algos.pyx:316:31: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/algos.pyx:316:31: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/algos.pyx:316:31: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/algos.pyx:316:31: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/algos.pyx:316:31: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/algos.pyx:1015:22: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1015:22: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1015:22: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1015:22: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1015:22: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1015:22: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1015:22: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1015:22: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1015:22: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1015:22: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1015:22: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1388:26: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1388:26: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1388:26: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1388:26: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1388:26: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1388:26: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1388:26: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1388:26: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1388:26: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1388:26: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/algos.pyx:1388:26: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/groupby.pyx:97:31: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/groupby.pyx:99:32: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/groupby.pyx:100:32: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashing.pyx:129:5: Exception check on '_sipround' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashing.pyx:175:21: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashing.pyx:186:17: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashing.pyx:192:17: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:7:5: Exception check on 'to_khcomplex64_t' will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_class_helper.pxi:12:5: Exception check on 'to_khcomplex128_t' will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_class_helper.pxi:210:5: Exception check on 'append_data_complex128' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:225:5: Exception check on 'append_data_complex64' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:240:5: Exception check on 'append_data_float64' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:255:5: Exception check on 'append_data_float32' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:264:5: Exception check on 'append_data_int64' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:279:5: Exception check on 'append_data_int32' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:294:5: Exception check on 'append_data_int16' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:309:5: Exception check on 'append_data_int8' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:324:5: Exception check on 'append_data_string' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:339:5: Exception check on 'append_data_uint64' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:354:5: Exception check on 'append_data_uint32' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:369:5: Exception check on 'append_data_uint16' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:384:5: Exception check on 'append_data_uint8' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:1271:38: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_class_helper.pxi:1288:39: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_class_helper.pxi:1386:39: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_class_helper.pxi:1419:46: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:1420:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:1442:42: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:1444:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:1762:43: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:1763:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:1785:39: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:1787:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:2105:42: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:2106:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:2128:38: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:2130:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:2465:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:2466:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:2488:37: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:2490:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:2620:37: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:2705:37: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_class_helper.pxi:2722:38: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_class_helper.pxi:2820:38: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_class_helper.pxi:2853:45: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:2854:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:2876:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:2878:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:3196:43: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:3197:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:3219:39: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:3221:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:3539:42: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:3540:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:3562:38: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:3564:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:3882:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:3883:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:3905:37: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:3907:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:4225:42: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:4226:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:4248:38: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:4250:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:4568:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:4569:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:4591:37: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:4593:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:4911:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:4912:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:4934:37: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:4936:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:5254:40: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:5255:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:5277:36: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_class_helper.pxi:5279:41: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_func_helper.pxi:89:41: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_func_helper.pxi:96:41: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_func_helper.pxi:103:41: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_func_helper.pxi:154:35: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_func_helper.pxi:163:35: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_func_helper.pxi:256:40: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_func_helper.pxi:263:40: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_func_helper.pxi:270:40: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_func_helper.pxi:321:34: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_func_helper.pxi:330:34: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/hashtable_func_helper.pxi:2362:33: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/hashtable_func_helper.pxi:2397:33: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/join.pyx:216:5: Exception check on '_get_result_indexer' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/join.pyx:70:27: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/join.pyx:71:27: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/join.pyx:131:27: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/join.pyx:132:27: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/join.pyx:208:27: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/join.pyx:209:27: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/parsers.pyx:1531:5: Exception check on '_to_fw_string_nogil' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/parsers.pyx:1526:27: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/parsers.pyx:1616:42: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/parsers.pyx:1640:38: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/ccalendar.pyx:158:6: Exception check on 'get_iso_calendar' will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/ccalendar.pyx:153:27: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/dtypes.pyx:361:5: Exception check on 'freq_group_code_to_npy_unit' will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/fields.pyx:439:40: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/fields.pyx:450:34: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/fields.pyx:461:41: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/fields.pyx:484:42: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/fields.pyx:600:42: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. warning: pandas/_libs/tslibs/nattype.pyx:92:0: Global name __nat_unpickle matched from within class scope in contradiction to to Python 'class private name' rules. This may change in a future release. warning: pandas/_libs/tslibs/nattype.pyx:92:0: Global name __nat_unpickle matched from within class scope in contradiction to to Python 'class private name' rules. This may change in a future release. performance hint: pandas/_libs/tslibs/np_datetime.pyx:78:5: Exception check on 'get_datetime64_unit' will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. warning: pandas/_libs/tslibs/offsets.pyx:4440:58: The keyword 'nogil' should appear at the end of the function signature line. Placing it before 'except' or 'noexcept' will be disallowed in a future version of Cython. performance hint: pandas/_libs/tslibs/offsets.pyx:2641:53: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/offsets.pyx:2664:53: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/offsets.pyx:2841:36: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/offsets.pyx:4157:60: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/offsets.pyx:4361:32: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/offsets.pyx:4364:28: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/offsets.pyx:4368:27: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. warning: pandas/_libs/tslibs/parsing.pyx:905:29: Unknown type declaration 'bint' in annotation, ignoring performance hint: pandas/_libs/tslibs/period.pyx:695:5: Exception check on 'adjust_dts_for_month' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/tslibs/period.pyx:704:5: Exception check on 'adjust_dts_for_qtr' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/tslibs/period.pyx:807:5: Exception check on 'get_date_info' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/tslibs/period.pyx:988:5: Exception check on 'get_asfreq_info' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/tslibs/period.pyx:306:35: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/period.pyx:338:23: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/period.pyx:339:24: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/period.pyx:355:24: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/tslibs/period.pyx:371:24: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/tslibs/period.pyx:475:22: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/tslibs/period.pyx:750:22: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/tslibs/period.pyx:803:38: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/tslibs/period.pyx:849:19: Exception check will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/tslibs/period.pyx:850:18: Exception check will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. Error compiling Cython file: ------------------------------------------------------------ ... if ((len(number) or len(frac)) and not len(unit) and current_unit is None): raise ValueError("no units specified") if len(frac) > 0 and len(frac) <= 3: m = 10**(3 -len(frac)) * 1000 * 1000 ^ ------------------------------------------------------------ pandas/_libs/tslibs/timedeltas.pyx:611:42: Cannot assign type 'double' to 'int64_t' Error compiling Cython file: ------------------------------------------------------------ ... raise ValueError("no units specified") if len(frac) > 0 and len(frac) <= 3: m = 10**(3 -len(frac)) * 1000 * 1000 elif len(frac) > 3 and len(frac) <= 6: m = 10**(6 -len(frac)) * 1000 ^ ------------------------------------------------------------ pandas/_libs/tslibs/timedeltas.pyx:613:35: Cannot assign type 'double' to 'int64_t' Error compiling Cython file: ------------------------------------------------------------ ... if len(frac) > 0 and len(frac) <= 3: m = 10**(3 -len(frac)) * 1000 * 1000 elif len(frac) > 3 and len(frac) <= 6: m = 10**(6 -len(frac)) * 1000 elif len(frac) > 6 and len(frac) <= 9: m = 10**(9 -len(frac)) ^ ------------------------------------------------------------ pandas/_libs/tslibs/timedeltas.pyx:615:18: Cannot assign type 'double' to 'int64_t' Traceback (most recent call last): File "/usr/lib/python3.11/site-packages/Cython/Build/Dependencies.py", line 1345, in cythonize_one_helper return cythonize_one(*m) ^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/site-packages/Cython/Build/Dependencies.py", line 1321, in cythonize_one raise CompileError(None, pyx_file) Cython.Compiler.Errors.CompileError: pandas/_libs/tslibs/timedeltas.pyx performance hint: pandas/_libs/window/aggregations.pyx:91:5: Exception check on 'add_sum' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/window/aggregations.pyx:116:5: Exception check on 'remove_sum' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/window/aggregations.pyx:212:5: Exception check on 'add_mean' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/window/aggregations.pyx:238:5: Exception check on 'remove_mean' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/window/aggregations.pyx:331:5: Exception check on 'add_var' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/window/aggregations.pyx:367:5: Exception check on 'remove_var' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/window/aggregations.pyx:498:5: Exception check on 'add_skew' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/window/aggregations.pyx:537:5: Exception check on 'remove_skew' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/window/aggregations.pyx:701:5: Exception check on 'add_kurt' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/window/aggregations.pyx:745:5: Exception check on 'remove_kurt' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/window/aggregations.pyx:969:5: Exception check on 'init_mm' will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/window/aggregations.pyx:991:5: Exception check on 'remove_mm' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/window/aggregations.pyx:997:5: Exception check on 'calc_mm' will always require the GIL to be acquired. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. performance hint: pandas/_libs/window/aggregations.pyx:1558:5: Exception check on 'add_weighted_var' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. performance hint: pandas/_libs/window/aggregations.pyx:1604:5: Exception check on 'remove_weighted_var' will always require the GIL to be acquired. Possible solutions: 1. Declare the function as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions. 2. Use an 'int' return type on the function to allow an error code to be returned. Error compiling Cython file: ------------------------------------------------------------ ... if weighted == weighted: if is_observation or not ignore_na: if normalize: if use_deltas: old_wt *= old_wt_factor ** sub_deltas[i - 1] ^ ------------------------------------------------------------ pandas/_libs/window/aggregations.pyx:1795:32: Cannot assign type 'npy_float64 complex' to 'float64_t' Traceback (most recent call last): File "/usr/lib/python3.11/site-packages/Cython/Build/Dependencies.py", line 1345, in cythonize_one_helper return cythonize_one(*m) ^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/site-packages/Cython/Build/Dependencies.py", line 1321, in cythonize_one raise CompileError(None, pyx_file) Cython.Compiler.Errors.CompileError: pandas/_libs/window/aggregations.pyx warning: pandas/_libs/writers.pyx:123:50: Unknown type declaration 'Py_ssize_t' in annotation, ignoring warning: pandas/_libs/writers.pyx:123:50: Unknown type declaration 'Py_ssize_t' in annotation, ignoring warning: pandas/_libs/writers.pyx:123:50: Unknown type declaration 'Py_ssize_t' in annotation, ignoring multiprocessing.pool.RemoteTraceback: """ Traceback (most recent call last): File "/usr/lib/python3.11/multiprocessing/pool.py", line 125, in worker result = (True, func(*args, **kwds)) ^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/multiprocessing/pool.py", line 48, in mapstar return list(map(*args)) ^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/site-packages/Cython/Build/Dependencies.py", line 1345, in cythonize_one_helper return cythonize_one(*m) ^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/site-packages/Cython/Build/Dependencies.py", line 1321, in cythonize_one raise CompileError(None, pyx_file) Cython.Compiler.Errors.CompileError: pandas/_libs/tslibs/timedeltas.pyx """ The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/startdir/src/pandas-1.5.3/setup.py", line 664, in ext_modules=maybe_cythonize(extensions, compiler_directives=directives), ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/startdir/src/pandas-1.5.3/setup.py", line 424, in maybe_cythonize return cythonize(extensions, *args, **kwargs) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/site-packages/Cython/Build/Dependencies.py", line 1145, in cythonize result.get(99999) # seconds ^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.11/multiprocessing/pool.py", line 774, in get raise self._value Cython.Compiler.Errors.CompileError: pandas/_libs/tslibs/timedeltas.pyx [ 1/41] Cythonizing pandas/_libs/algos.pyx [ 2/41] Cythonizing pandas/_libs/arrays.pyx [ 3/41] Cythonizing pandas/_libs/groupby.pyx [ 4/41] Cythonizing pandas/_libs/hashing.pyx [ 5/41] Cythonizing pandas/_libs/hashtable.pyx [ 6/41] Cythonizing pandas/_libs/index.pyx [ 7/41] Cythonizing pandas/_libs/indexing.pyx [ 8/41] Cythonizing pandas/_libs/internals.pyx [ 9/41] Cythonizing pandas/_libs/interval.pyx [10/41] Cythonizing pandas/_libs/join.pyx [11/41] Cythonizing pandas/_libs/lib.pyx [12/41] Cythonizing pandas/_libs/missing.pyx [13/41] Cythonizing pandas/_libs/ops.pyx [14/41] Cythonizing pandas/_libs/ops_dispatch.pyx [15/41] Cythonizing pandas/_libs/parsers.pyx [16/41] Cythonizing pandas/_libs/properties.pyx [17/41] Cythonizing pandas/_libs/reduction.pyx [18/41] Cythonizing pandas/_libs/reshape.pyx [19/41] Cythonizing pandas/_libs/sparse.pyx [20/41] Cythonizing pandas/_libs/testing.pyx [21/41] Cythonizing pandas/_libs/tslib.pyx [22/41] Cythonizing pandas/_libs/tslibs/base.pyx [23/41] Cythonizing pandas/_libs/tslibs/ccalendar.pyx [24/41] Cythonizing pandas/_libs/tslibs/conversion.pyx [25/41] Cythonizing pandas/_libs/tslibs/dtypes.pyx [26/41] Cythonizing pandas/_libs/tslibs/fields.pyx [27/41] Cythonizing pandas/_libs/tslibs/nattype.pyx [28/41] Cythonizing pandas/_libs/tslibs/np_datetime.pyx [29/41] Cythonizing pandas/_libs/tslibs/offsets.pyx [30/41] Cythonizing pandas/_libs/tslibs/parsing.pyx [31/41] Cythonizing pandas/_libs/tslibs/period.pyx [32/41] Cythonizing pandas/_libs/tslibs/strptime.pyx [33/41] Cythonizing pandas/_libs/tslibs/timedeltas.pyx [34/41] Cythonizing pandas/_libs/tslibs/timestamps.pyx [35/41] Cythonizing pandas/_libs/tslibs/timezones.pyx [36/41] Cythonizing pandas/_libs/tslibs/tzconversion.pyx [37/41] Cythonizing pandas/_libs/tslibs/vectorized.pyx [38/41] Cythonizing pandas/_libs/window/aggregations.pyx [39/41] Cythonizing pandas/_libs/window/indexers.pyx [40/41] Cythonizing pandas/_libs/writers.pyx [41/41] Cythonizing pandas/io/sas/sas.pyx ==> ERROR: A failure occurred in build(). Aborting... ==> ERROR: Build failed, check /home/alhp/workspace2/chroot/build_bc3d0ebb-db6d-4875-bcae-70b0e80ad30d/build