[artix-build-failures] [world] Failure: python-geopandas-0.14.3-3

jenkins at artixlinux.org jenkins at artixlinux.org
Fri Apr 12 22:52:32 CEST 2024
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   Build: world

   Name: python-geopandas-0.14.3-3

   maintainer: Artoo

   email: artoo at artixlinux.org

   [1]https://orion.artixlinux.org/job/packages/job/python-geopandas/job/m
   aster/11/

References

   1. https://orion.artixlinux.org/job/packages/job/python-geopandas/job/master/11/
-------------- next part --------------
Push event to branch master
Looking up repository packages/python-geopandas
Querying the current revision of branch master...
Current revision of branch master is a5be97f763f278ad0aaa0160230af8345845970b
Obtained .artixlinux/Jenkinsfile from a5be97f763f278ad0aaa0160230af8345845970b
Loading library artix-ci at orion
Attempting to resolve orion from remote references...
 > git --version # timeout=10
 > git --version # 'git version 2.44.0'
using GIT_ASKPASS to set credentials jenkins gitea token
 > git ls-remote -- https://gitea.artixlinux.org/artix/pipeline-libs.git # timeout=10
Found match: refs/heads/orion revision 60b665637b4eecfca348d0c89d9404f2b95e3c68
Selected Git installation does not exist. Using Default
The recommended git tool is: NONE
using credential jenkins-gotea-token
 > git rev-parse --resolve-git-dir /var/lib/jenkins/workspace/packages_python-geopandas_master at libs/d1b6e538991d6cf27c1f72e8cf4d6e290b22a9c93094b0e97e3a05b8d58db898/.git # timeout=10
Fetching changes from the remote Git repository
 > git config remote.origin.url https://gitea.artixlinux.org/artix/pipeline-libs.git # timeout=10
Fetching without tags
Fetching upstream changes from https://gitea.artixlinux.org/artix/pipeline-libs.git
 > git --version # timeout=10
 > git --version # 'git version 2.44.0'
using GIT_ASKPASS to set credentials jenkins gitea token
 > git fetch --no-tags --force --progress -- https://gitea.artixlinux.org/artix/pipeline-libs.git +refs/heads/orion:refs/remotes/origin/orion # timeout=10
Checking out Revision 60b665637b4eecfca348d0c89d9404f2b95e3c68 (orion)
 > git config core.sparsecheckout # timeout=10
 > git checkout -f 60b665637b4eecfca348d0c89d9404f2b95e3c68 # timeout=10
Commit message: "Merge pull request 'archive artifacts on build success' (#63) from artifacts into orion"
[Gitea] Notifying branch build status: PENDING Build started...
[Gitea] Notified
[Pipeline] Start of Pipeline
[Pipeline] catchError
[Pipeline] {
[Pipeline] libraryResource
[Pipeline] readYaml
[Pipeline] }
[Pipeline] // catchError
[Pipeline] node
Running on Jenkins in /var/lib/jenkins/workspace/packages_python-geopandas_master
[Pipeline] {
[Pipeline] timestamps
[Pipeline] {
[Pipeline] ansiColor
[Pipeline] {
[2024-04-12T20:49:30.905Z] 
[Pipeline] stage
[Pipeline] { (Checkout)
[Pipeline] checkout
[2024-04-12T20:49:30.938Z] The recommended git tool is: NONE
[2024-04-12T20:49:30.939Z] using credential jenkins-gotea-token
[2024-04-12T20:49:31.024Z]  > git rev-parse --resolve-git-dir /var/lib/jenkins/workspace/packages_python-geopandas_master/.git # timeout=10
[2024-04-12T20:49:31.030Z] Fetching changes from the remote Git repository
[2024-04-12T20:49:31.031Z]  > git config remote.origin.url https://gitea.artixlinux.org/packages/python-geopandas.git # timeout=10
[2024-04-12T20:49:31.035Z] Cleaning workspace
[2024-04-12T20:49:31.035Z]  > git rev-parse --verify HEAD # timeout=10
[2024-04-12T20:49:31.040Z] Resetting working tree
[2024-04-12T20:49:31.040Z]  > git reset --hard # timeout=10
[2024-04-12T20:49:31.045Z]  > git clean -fdx # timeout=10
[2024-04-12T20:49:31.053Z] Fetching without tags
[2024-04-12T20:49:31.053Z] Fetching upstream changes from https://gitea.artixlinux.org/packages/python-geopandas.git
[2024-04-12T20:49:31.053Z]  > git --version # timeout=10
[2024-04-12T20:49:31.056Z]  > git --version # 'git version 2.44.0'
[2024-04-12T20:49:31.056Z] using GIT_ASKPASS to set credentials jenkins gitea token
[2024-04-12T20:49:31.061Z]  > git fetch --no-tags --force --progress -- https://gitea.artixlinux.org/packages/python-geopandas.git +refs/heads/master:refs/remotes/origin/master # timeout=10
[2024-04-12T20:49:31.225Z] Checking out Revision a5be97f763f278ad0aaa0160230af8345845970b (master)
[2024-04-12T20:49:31.225Z]  > git config core.sparsecheckout # timeout=10
[2024-04-12T20:49:31.232Z]  > git checkout -f a5be97f763f278ad0aaa0160230af8345845970b # timeout=10
[2024-04-12T20:49:31.242Z] Commit message: "[world] 'python-geopandas-0.14.3-3' add"
[2024-04-12T20:49:31.242Z]  > git rev-list --no-walk e987401f2f0b0e0e418f004a3a4da61822338090 # timeout=10
[2024-04-12T20:49:31.259Z] [Gitea] Notifying branch build status: PENDING Build started...
[2024-04-12T20:49:31.394Z] [Gitea] Notified
[Pipeline] readYaml
[Pipeline] sh
[2024-04-12T20:49:31.665Z] + git show -s --format=%an a5be97f763f278ad0aaa0160230af8345845970b
[Pipeline] sh
[2024-04-12T20:49:31.923Z] + git show -s --format=%ae a5be97f763f278ad0aaa0160230af8345845970b
[Pipeline] echo
[2024-04-12T20:49:31.939Z] addRepo=world
[Pipeline] echo
[2024-04-12T20:49:31.944Z] removeRepo=null
[Pipeline] echo
[2024-04-12T20:49:31.948Z] triggersBuild=true
[Pipeline] echo
[2024-04-12T20:49:31.953Z] triggersRebuild=false
[Pipeline] echo
[2024-04-12T20:49:31.958Z] triggersRepoAdd=true
[Pipeline] echo
[2024-04-12T20:49:31.963Z] triggersRepoRemove=false
[Pipeline] echo
[2024-04-12T20:49:31.967Z] triggersNoCheck=false
[Pipeline] echo
[2024-04-12T20:49:31.973Z] name=Artoo
[Pipeline] echo
[2024-04-12T20:49:31.977Z] email=artoo at artixlinux.org
[Pipeline] echo
[2024-04-12T20:49:31.982Z] credentialsId=BUILDBOT_GPGP
[Pipeline] }
[Pipeline] // stage
[Pipeline] stage
[Pipeline] { (Build)
[Pipeline] catchError
[Pipeline] {
[Pipeline] sh
[2024-04-12T20:49:32.301Z] + buildpkg -n -a x86_64 -d world -e 'Artoo <artoo at artixlinux.org>'
[2024-04-12T20:49:36.423Z] :: Synchronizing package databases...
[2024-04-12T20:49:36.423Z]  system downloading...
[2024-04-12T20:49:36.423Z]  world downloading...
[2024-04-12T20:49:36.423Z] :: Starting full system upgrade...
[2024-04-12T20:49:36.423Z]  there is nothing to do
[2024-04-12T20:49:38.905Z] ==> Building in chroot for [world] (x86_64)...
[2024-04-12T20:49:40.248Z] ==> Synchronizing chroot copy [/build/buildpkg/world-x86_64/root] -> [jenkins]...done
[2024-04-12T20:49:41.159Z] ==> Making package: python-geopandas 0.14.3-3 (Fri Apr 12 22:49:40 2024)
[2024-04-12T20:49:41.159Z] ==> Retrieving sources...
[2024-04-12T20:49:41.159Z]   -> Found python-geopandas-0.14.3.tar.gz
[2024-04-12T20:49:41.159Z] ==> Validating source files with sha256sums...
[2024-04-12T20:49:41.159Z]     python-geopandas-0.14.3.tar.gz ... Passed
[2024-04-12T20:49:47.639Z] ==> Making package: python-geopandas 0.14.3-3 (Fri Apr 12 20:49:46 2024)
[2024-04-12T20:49:47.639Z] ==> Checking runtime dependencies...
[2024-04-12T20:49:47.639Z] ==> Installing missing dependencies...
[2024-04-12T20:49:47.639Z] resolving dependencies...
[2024-04-12T20:49:47.639Z] looking for conflicting packages...
[2024-04-12T20:49:47.639Z] 
[2024-04-12T20:49:47.639Z] Package (57)                     New Version   Net Change
[2024-04-12T20:49:47.639Z] 
[2024-04-12T20:49:47.639Z] world/blas                       3.12.0-3        0.65 MiB
[2024-04-12T20:49:47.639Z] world/blosc                      1.21.5-1        0.09 MiB
[2024-04-12T20:49:47.639Z] world/cblas                      3.12.0-3        0.34 MiB
[2024-04-12T20:49:47.639Z] world/crypto++                   8.9.0-1         6.44 MiB
[2024-04-12T20:49:47.639Z] world/geos                       3.12.0-1        6.39 MiB
[2024-04-12T20:49:47.639Z] world/giflib                     5.2.2-1         0.27 MiB
[2024-04-12T20:49:47.639Z] world/jbigkit                    2.1-7           0.16 MiB
[2024-04-12T20:49:47.639Z] world/lapack                     3.12.0-3        7.48 MiB
[2024-04-12T20:49:47.639Z] world/libaec                     1.1.3-1         0.10 MiB
[2024-04-12T20:49:47.639Z] world/libdeflate                 1.20-1          0.13 MiB
[2024-04-12T20:49:47.639Z] world/libfreexl                  2.0.0-1         0.09 MiB
[2024-04-12T20:49:47.639Z] world/libgeotiff                 1.7.1-2         0.41 MiB
[2024-04-12T20:49:47.639Z] world/libjpeg-turbo              3.0.2-2         2.26 MiB
[2024-04-12T20:49:47.639Z] system/libnsl                    2.0.1-1         0.07 MiB
[2024-04-12T20:49:47.639Z] world/libpng                     1.6.43-1        0.57 MiB
[2024-04-12T20:49:47.639Z] world/librttopo                  1.1.0-5         0.58 MiB
[2024-04-12T20:49:47.639Z] world/libspatialite              5.1.0-1        17.30 MiB
[2024-04-12T20:49:47.639Z] world/libtiff                    4.6.0-4         1.28 MiB
[2024-04-12T20:49:47.639Z] system/minizip                   1:1.3.1-1       0.08 MiB
[2024-04-12T20:49:47.639Z] world/ocl-icd                    2.3.2-1         0.45 MiB
[2024-04-12T20:49:47.639Z] world/proj                       9.4.0-1        13.89 MiB
[2024-04-12T20:49:47.639Z] system/python                    3.11.8-1       74.62 MiB
[2024-04-12T20:49:47.639Z] world/python-attrs               23.2.0-1        0.57 MiB
[2024-04-12T20:49:47.639Z] world/python-autocommand         2.2.2-4         0.08 MiB
[2024-04-12T20:49:47.639Z] world/python-certifi             2024.02.02-1    0.02 MiB
[2024-04-12T20:49:47.639Z] world/python-click               8.1.7-1         1.24 MiB
[2024-04-12T20:49:47.639Z] world/python-click-plugins       1.1.1-10        0.02 MiB
[2024-04-12T20:49:47.639Z] world/python-cligj               0.7.2-4         0.04 MiB
[2024-04-12T20:49:47.639Z] world/python-dateutil            2.9.0-3         1.04 MiB
[2024-04-12T20:49:47.639Z] world/python-fastjsonschema      2.19.1-1        0.30 MiB
[2024-04-12T20:49:47.639Z] world/python-inflect             7.2.0-1         0.39 MiB
[2024-04-12T20:49:47.639Z] world/python-jaraco.context      4.3.0-3         0.04 MiB
[2024-04-12T20:49:47.639Z] world/python-jaraco.functools    4.0.0-1         0.07 MiB
[2024-04-12T20:49:47.639Z] world/python-jaraco.text         3.12.0-1        0.09 MiB
[2024-04-12T20:49:47.639Z] world/python-more-itertools      10.2.0-1        0.64 MiB
[2024-04-12T20:49:47.639Z] world/python-munch               4.0.0-1         0.09 MiB
[2024-04-12T20:49:47.639Z] world/python-ordered-set         4.1.0-4         0.07 MiB
[2024-04-12T20:49:47.639Z] world/python-platformdirs        4.2.0-1         0.24 MiB
[2024-04-12T20:49:47.639Z] world/python-pytz                2024.1-1        0.17 MiB
[2024-04-12T20:49:47.639Z] world/python-setuptools          1:69.0.3-4      4.68 MiB
[2024-04-12T20:49:47.639Z] world/python-six                 1.16.0-8        0.12 MiB
[2024-04-12T20:49:47.639Z] world/python-tomli               2.0.1-3         0.11 MiB
[2024-04-12T20:49:47.639Z] world/python-trove-classifiers   2024.3.25-1     0.12 MiB
[2024-04-12T20:49:47.639Z] world/python-typeguard           4.2.1-1         0.42 MiB
[2024-04-12T20:49:47.639Z] world/python-typing_extensions   4.10.0-1        0.39 MiB
[2024-04-12T20:49:47.639Z] world/python-validate-pyproject  0.13-1          0.29 MiB
[2024-04-12T20:49:47.639Z] world/qhull                      2020.2-4        6.82 MiB
[2024-04-12T20:49:47.639Z] world/snappy                     1.1.10-1        0.08 MiB
[2024-04-12T20:49:47.639Z] system/unixodbc                  2.3.12-1        0.87 MiB
[2024-04-12T20:49:47.639Z] world/xerces-c                   3.2.5-1         8.09 MiB
[2024-04-12T20:49:47.639Z] world/gdal                       3.8.4-3        29.93 MiB
[2024-04-12T20:49:47.639Z] world/python-fiona               1.9.5-2         2.46 MiB
[2024-04-12T20:49:47.639Z] world/python-numpy               1.26.4-1       47.73 MiB
[2024-04-12T20:49:47.639Z] world/python-packaging           23.2-1          0.53 MiB
[2024-04-12T20:49:47.639Z] world/python-pandas              1.5.3-3        90.59 MiB
[2024-04-12T20:49:47.639Z] world/python-pyproj              3.6.1-1         2.31 MiB
[2024-04-12T20:49:47.639Z] world/python-shapely             2.0.3-1         3.50 MiB
[2024-04-12T20:49:47.639Z] 
[2024-04-12T20:49:47.639Z] Total Installed Size:  337.78 MiB
[2024-04-12T20:49:47.639Z] 
[2024-04-12T20:49:47.639Z] :: Proceed with installation? [Y/n] 
[2024-04-12T20:49:47.639Z] checking keyring...
[2024-04-12T20:49:47.639Z] checking package integrity...
[2024-04-12T20:49:49.500Z] loading package files...
[2024-04-12T20:49:49.500Z] checking for file conflicts...
[2024-04-12T20:49:49.500Z] :: Processing package changes...
[2024-04-12T20:49:49.500Z] installing jbigkit...
[2024-04-12T20:49:49.500Z] installing libjpeg-turbo...
[2024-04-12T20:49:49.500Z] Optional dependencies for libjpeg-turbo
[2024-04-12T20:49:49.500Z]     java-runtime>11: for TurboJPEG Java wrapper
[2024-04-12T20:49:49.500Z] installing libtiff...
[2024-04-12T20:49:49.500Z] Optional dependencies for libtiff
[2024-04-12T20:49:49.500Z]     freeglut: for using tiffgt
[2024-04-12T20:49:49.500Z] installing proj...
[2024-04-12T20:49:49.500Z] installing snappy...
[2024-04-12T20:49:49.500Z] installing blosc...
[2024-04-12T20:49:49.500Z] installing crypto++...
[2024-04-12T20:49:49.500Z] installing libdeflate...
[2024-04-12T20:49:49.500Z] installing minizip...
[2024-04-12T20:49:49.500Z] installing libfreexl...
[2024-04-12T20:49:49.500Z] installing geos...
[2024-04-12T20:49:49.750Z] installing libgeotiff...
[2024-04-12T20:49:49.751Z] installing giflib...
[2024-04-12T20:49:49.751Z] installing unixodbc...
[2024-04-12T20:49:49.751Z] installing ocl-icd...
[2024-04-12T20:49:49.751Z] Optional dependencies for ocl-icd
[2024-04-12T20:49:49.751Z]     opencl-driver: packaged opencl driver
[2024-04-12T20:49:49.751Z] installing libpng...
[2024-04-12T20:49:49.751Z] installing qhull...
[2024-04-12T20:49:49.751Z] installing librttopo...
[2024-04-12T20:49:49.751Z] installing libspatialite...
[2024-04-12T20:49:49.751Z] installing libnsl...
[2024-04-12T20:49:49.751Z] installing xerces-c...
[2024-04-12T20:49:49.751Z] installing libaec...
[2024-04-12T20:49:49.751Z] installing gdal...
[2024-04-12T20:49:50.001Z] Optional dependencies for gdal
[2024-04-12T20:49:50.001Z]     arrow: Arrow/Parquet support
[2024-04-12T20:49:50.001Z]     cfitsio: FITS support
[2024-04-12T20:49:50.001Z]     hdf5: HDF5 support
[2024-04-12T20:49:50.001Z]     libheif: HEIF support
[2024-04-12T20:49:50.001Z]     libjxl: JPEG XL support
[2024-04-12T20:49:50.001Z]     mariadb-libs: MySQL support
[2024-04-12T20:49:50.001Z]     netcdf: netCDF support
[2024-04-12T20:49:50.001Z]     openexr: EXR support
[2024-04-12T20:49:50.001Z]     openjpeg2: JP2 support
[2024-04-12T20:49:50.001Z]     podofo: PDF support
[2024-04-12T20:49:50.001Z]     poppler: PDF support
[2024-04-12T20:49:50.001Z]     postgresql-libs: PostgreSQL support
[2024-04-12T20:49:50.001Z]     libwebp: WebP support
[2024-04-12T20:49:50.001Z] installing python...
[2024-04-12T20:49:50.251Z] Optional dependencies for python
[2024-04-12T20:49:50.251Z]     python-setuptools: for building Python packages using tooling that is usually bundled with Python [pending]
[2024-04-12T20:49:50.251Z]     python-pip: for installing Python packages using tooling that is usually bundled with Python
[2024-04-12T20:49:50.251Z]     python-pipx: for installing Python software not packaged on Arch Linux
[2024-04-12T20:49:50.251Z]     sqlite: for a default database integration [installed]
[2024-04-12T20:49:50.251Z]     mpdecimal: for decimal
[2024-04-12T20:49:50.251Z]     xz: for lzma [installed]
[2024-04-12T20:49:50.251Z]     tk: for tkinter
[2024-04-12T20:49:50.251Z] installing python-attrs...
[2024-04-12T20:49:50.251Z] installing python-certifi...
[2024-04-12T20:49:50.251Z] installing python-click...
[2024-04-12T20:49:50.251Z] installing python-click-plugins...
[2024-04-12T20:49:50.251Z] installing python-cligj...
[2024-04-12T20:49:50.251Z] installing python-munch...
[2024-04-12T20:49:50.251Z] installing python-six...
[2024-04-12T20:49:50.251Z] installing python-fiona...
[2024-04-12T20:49:50.251Z] Optional dependencies for python-fiona
[2024-04-12T20:49:50.251Z]     python-shapely: fio-calc functionnality [pending]
[2024-04-12T20:49:50.251Z]     python-boto3: s3 support
[2024-04-12T20:49:50.251Z] installing blas...
[2024-04-12T20:49:50.251Z] installing cblas...
[2024-04-12T20:49:50.251Z] installing lapack...
[2024-04-12T20:49:50.251Z] installing python-numpy...
[2024-04-12T20:49:50.501Z] Optional dependencies for python-numpy
[2024-04-12T20:49:50.501Z]     blas-openblas: faster linear algebra
[2024-04-12T20:49:50.501Z] installing python-packaging...
[2024-04-12T20:49:50.501Z] installing python-dateutil...
[2024-04-12T20:49:50.501Z] installing python-pytz...
[2024-04-12T20:49:50.501Z] installing python-more-itertools...
[2024-04-12T20:49:50.501Z] installing python-jaraco.functools...
[2024-04-12T20:49:50.501Z] installing python-jaraco.context...
[2024-04-12T20:49:50.501Z] installing python-autocommand...
[2024-04-12T20:49:50.501Z] installing python-typing_extensions...
[2024-04-12T20:49:50.501Z] installing python-typeguard...
[2024-04-12T20:49:50.501Z] installing python-inflect...
[2024-04-12T20:49:50.501Z] installing python-jaraco.text...
[2024-04-12T20:49:50.502Z] installing python-ordered-set...
[2024-04-12T20:49:50.502Z] installing python-platformdirs...
[2024-04-12T20:49:50.502Z] installing python-tomli...
[2024-04-12T20:49:50.502Z] installing python-fastjsonschema...
[2024-04-12T20:49:50.502Z] installing python-trove-classifiers...
[2024-04-12T20:49:50.502Z] installing python-validate-pyproject...
[2024-04-12T20:49:50.502Z] installing python-setuptools...
[2024-04-12T20:49:50.502Z] installing python-pandas...
[2024-04-12T20:49:51.052Z] Optional dependencies for python-pandas
[2024-04-12T20:49:51.052Z]     python-pandas-datareader: pandas.io.data replacement (recommended)
[2024-04-12T20:49:51.052Z]     python-numexpr: accelerating certain numerical operations (recommended)
[2024-04-12T20:49:51.052Z]     python-bottleneck: accelerating certain types of nan evaluations (recommended)
[2024-04-12T20:49:51.052Z]     python-matplotlib: plotting
[2024-04-12T20:49:51.052Z]     python-jinja: conditional formatting with DataFrame.style
[2024-04-12T20:49:51.052Z]     python-tabulate: printing in Markdown-friendly format
[2024-04-12T20:49:51.052Z]     python-scipy: miscellaneous statistical functions
[2024-04-12T20:49:51.052Z]     python-numba: alternative execution engine
[2024-04-12T20:49:51.052Z]     python-xarray: pandas-like API for N-dimensional data
[2024-04-12T20:49:51.052Z]     python-xlrd: Excel XLS input
[2024-04-12T20:49:51.052Z]     python-xlwt: Excel XLS output
[2024-04-12T20:49:51.052Z]     python-openpyxl: Excel XLSX input/output
[2024-04-12T20:49:51.052Z]     python-xlsxwriter: alternative Excel XLSX output
[2024-04-12T20:49:51.052Z]     python-beautifulsoup4: read_html function (in any case)
[2024-04-12T20:49:51.052Z]     python-html5lib: read_html function (and/or python-lxml)
[2024-04-12T20:49:51.052Z]     python-lxml: read_xml, to_xml and read_html function (and/or python-html5lib)
[2024-04-12T20:49:51.052Z]     python-sqlalchemy: SQL database support
[2024-04-12T20:49:51.052Z]     python-psycopg2: PostgreSQL engine for sqlalchemy
[2024-04-12T20:49:51.052Z]     python-pymysql: MySQL engine for sqlalchemy
[2024-04-12T20:49:51.052Z]     python-pytables: HDF5-based reading / writing
[2024-04-12T20:49:51.052Z]     python-blosc: for msgpack compression using blosc
[2024-04-12T20:49:51.052Z]     zlib: compression for msgpack [installed]
[2024-04-12T20:49:51.052Z]     python-pyarrow: Parquet, ORC and feather reading/writing
[2024-04-12T20:49:51.052Z]     python-fsspec: handling files aside from local and HTTP
[2024-04-12T20:49:51.052Z]     python-pyqt5: read_clipboard function (only one needed)
[2024-04-12T20:49:51.052Z]     python-qtpy: read_clipboard function (only one needed)
[2024-04-12T20:49:51.052Z]     xclip: read_clipboard function (only one needed)
[2024-04-12T20:49:51.052Z]     xsel: read_clipboard function (only one needed)
[2024-04-12T20:49:51.052Z]     python-brotli: Brotli compression
[2024-04-12T20:49:51.052Z]     python-snappy: Snappy compression
[2024-04-12T20:49:51.052Z]     python-zstandard: Zstandard (zstd) compression
[2024-04-12T20:49:51.052Z] installing python-pyproj...
[2024-04-12T20:49:51.052Z] installing python-shapely...
[2024-04-12T20:49:51.052Z] Optional dependencies for python-shapely
[2024-04-12T20:49:51.052Z]     python-numpy: for shapely.vectorized submodule [installed]
[2024-04-12T20:49:51.603Z] ==> Checking buildtime dependencies...
[2024-04-12T20:49:51.603Z] ==> Installing missing dependencies...
[2024-04-12T20:49:51.853Z] resolving dependencies...
[2024-04-12T20:49:51.853Z] looking for conflicting packages...
[2024-04-12T20:49:51.853Z] warning: dependency cycle detected:
[2024-04-12T20:49:51.853Z] warning: harfbuzz will be installed before its freetype2 dependency
[2024-04-12T20:49:51.853Z] 
[2024-04-12T20:49:51.853Z] Package (81)                     New Version            Net Change  Download Size
[2024-04-12T20:49:51.853Z] 
[2024-04-12T20:49:51.853Z] world/abseil-cpp                 20240116.1-1             6.25 MiB               
[2024-04-12T20:49:51.853Z] world/apache-orc                 1.9.2-1                  1.74 MiB               
[2024-04-12T20:49:51.853Z] world/arrow                      15.0.2-1                40.33 MiB               
[2024-04-12T20:49:51.853Z] world/avahi                      1:0.8+r194+g3f79789-2    1.87 MiB               
[2024-04-12T20:49:51.853Z] world/c-ares                     1.28.1-1                 0.63 MiB               
[2024-04-12T20:49:51.853Z] world/cairo                      1.18.0-2                 1.55 MiB               
[2024-04-12T20:49:51.853Z] system/dbus                      1.14.10-2                0.89 MiB               
[2024-04-12T20:49:51.853Z] world/fontconfig                 2:2.15.0-2               1.10 MiB               
[2024-04-12T20:49:51.853Z] world/freetype2                  2.13.2-1                 1.63 MiB               
[2024-04-12T20:49:51.853Z] world/fribidi                    1.0.13-2                 0.24 MiB               
[2024-04-12T20:49:51.853Z] world/gdk-pixbuf2                2.42.10-2                2.96 MiB               
[2024-04-12T20:49:51.853Z] world/gflags                     2.2.2-5                  1.04 MiB               
[2024-04-12T20:49:51.853Z] world/google-glog                0.7.0-1                  0.37 MiB               
[2024-04-12T20:49:51.853Z] world/graphite                   1:1.3.14-3               0.20 MiB               
[2024-04-12T20:49:51.853Z] world/grpc                       1.62.1-2                24.00 MiB               
[2024-04-12T20:49:51.853Z] world/harfbuzz                   8.4.0-1                  3.90 MiB               
[2024-04-12T20:49:51.853Z] world/ijs                        0.35-6                   0.12 MiB               
[2024-04-12T20:49:51.853Z] world/jbig2dec                   0.20-1                   0.15 MiB               
[2024-04-12T20:49:51.853Z] world/lcms2                      2.16-1                   0.67 MiB               
[2024-04-12T20:49:51.853Z] world/libcups                    1:2.4.7-2                0.82 MiB               
[2024-04-12T20:49:51.853Z] world/libdaemon                  0.14-5.1                 0.06 MiB               
[2024-04-12T20:49:51.853Z] system/libedit                   20230828_3.1-1           0.28 MiB               
[2024-04-12T20:49:51.853Z] system/libelogind                252.23-1                 1.06 MiB               
[2024-04-12T20:49:51.853Z] world/libice                     1.1.1-2                  0.36 MiB               
[2024-04-12T20:49:51.853Z] world/libidn                     1.42-1                   0.77 MiB               
[2024-04-12T20:49:51.853Z] world/libimagequant              4.3.0-1                  0.61 MiB               
[2024-04-12T20:49:51.853Z] world/libpaper                   2.2.5-1                  0.14 MiB               
[2024-04-12T20:49:51.853Z] world/libraqm                    0.10.1-1                 0.18 MiB               
[2024-04-12T20:49:51.853Z] world/libsm                      1.2.4-1                  0.26 MiB               
[2024-04-12T20:49:51.853Z] world/libutf8proc                2.9.0-1                  0.37 MiB               
[2024-04-12T20:49:51.853Z] world/libx11                     1.8.9-1                  9.77 MiB               
[2024-04-12T20:49:51.853Z] world/libxau                     1.0.11-2                 0.02 MiB               
[2024-04-12T20:49:51.853Z] world/libxcb                     1.16.1-1                 3.85 MiB               
[2024-04-12T20:49:51.853Z] world/libxdmcp                   1.1.5-1                  0.13 MiB               
[2024-04-12T20:49:51.853Z] world/libxext                    1.3.6-1.1                0.30 MiB               
[2024-04-12T20:49:51.853Z] world/libxrender                 0.9.11-1                 0.10 MiB               
[2024-04-12T20:49:51.853Z] world/libxslt                    1.1.39-1                 0.77 MiB               
[2024-04-12T20:49:51.853Z] world/libxt                      1.3.0-1                  2.04 MiB               
[2024-04-12T20:49:51.853Z] world/llvm-libs                  17.0.6-2               127.04 MiB               
[2024-04-12T20:49:51.853Z] system/lzo                       2.10-5                   0.38 MiB               
[2024-04-12T20:49:51.853Z] world/openjpeg2                  2.5.2-1                 13.28 MiB               
[2024-04-12T20:49:51.853Z] world/pixman                     0.43.4-1                 0.71 MiB               
[2024-04-12T20:49:51.853Z] world/poppler-data               0.4.12-1                12.34 MiB               
[2024-04-12T20:49:51.853Z] world/postgresql                 16.2-1                  61.36 MiB               
[2024-04-12T20:49:51.853Z] world/postgresql-libs            16.2-1                   8.49 MiB               
[2024-04-12T20:49:51.853Z] world/protobuf                   25.3-3                  10.97 MiB               
[2024-04-12T20:49:51.853Z] world/protobuf-c                 1.5.0-2                  0.34 MiB               
[2024-04-12T20:49:51.853Z] world/python-charset-normalizer  3.3.2-1                  0.47 MiB               
[2024-04-12T20:49:51.853Z] world/python-contourpy           1.2.1-1                  0.89 MiB               
[2024-04-12T20:49:51.853Z] world/python-cycler              0.12.1-1                 0.07 MiB               
[2024-04-12T20:49:51.853Z] world/python-fonttools           4.50.0-1                19.79 MiB               
[2024-04-12T20:49:51.853Z] world/python-geographiclib       2.0-3                    0.52 MiB               
[2024-04-12T20:49:51.853Z] world/python-greenlet            3.0.3-1                  0.43 MiB               
[2024-04-12T20:49:51.853Z] world/python-idna                3.6-1                    0.71 MiB               
[2024-04-12T20:49:51.853Z] world/python-iniconfig           2.0.0-4                  0.04 MiB               
[2024-04-12T20:49:51.853Z] world/python-kiwisolver          1.4.5-2                  0.14 MiB               
[2024-04-12T20:49:51.853Z] world/python-pillow              10.2.0-2                 4.12 MiB               
[2024-04-12T20:49:51.853Z] world/python-pluggy              1.4.0-2                  0.21 MiB               
[2024-04-12T20:49:51.853Z] world/python-pooch               1.8.1-1                  0.76 MiB               
[2024-04-12T20:49:51.853Z] world/python-pyparsing           3.1.2-1                  1.35 MiB               
[2024-04-12T20:49:51.853Z] world/python-requests            2.31.0-1                 0.61 MiB               
[2024-04-12T20:49:51.853Z] world/python-setuptools-scm      8.0.4-1                  0.38 MiB               
[2024-04-12T20:49:51.853Z] world/python-urllib3             1.26.18-1                1.33 MiB               
[2024-04-12T20:49:51.853Z] world/re2                        1:20240401-1             0.39 MiB               
[2024-04-12T20:49:51.853Z] world/shared-mime-info           2.4-1                    4.55 MiB               
[2024-04-12T20:49:51.853Z] world/spatialindex               1.9.3-1                  1.22 MiB               
[2024-04-12T20:49:51.853Z] world/thrift                     0.20.0-1                 5.45 MiB       1.70 MiB
[2024-04-12T20:49:51.853Z] world/xcb-proto                  1.16.0-1                 1.04 MiB               
[2024-04-12T20:49:51.853Z] world/xorgproto                  2024.1-2                 1.46 MiB               
[2024-04-12T20:49:51.853Z] world/ghostscript                10.03.0-2               42.50 MiB               
[2024-04-12T20:49:51.853Z] world/postgis                    3.4.2-1                 42.12 MiB       2.57 MiB
[2024-04-12T20:49:51.853Z] world/python-fsspec              2024.2.0-1               2.31 MiB               
[2024-04-12T20:49:51.853Z] world/python-geopy               2.4.1-2                  1.23 MiB               
[2024-04-12T20:49:51.853Z] world/python-matplotlib          3.8.2-1                 27.86 MiB               
[2024-04-12T20:49:51.853Z] world/python-psycopg2            2.9.9-1                  0.73 MiB               
[2024-04-12T20:49:51.853Z] world/python-pyarrow             15.0.2-1                16.56 MiB               
[2024-04-12T20:49:51.853Z] world/python-pyogrio             0.6.0-3                  1.86 MiB               
[2024-04-12T20:49:51.853Z] world/python-pytest              1:8.1.1-1                4.18 MiB               
[2024-04-12T20:49:51.853Z] world/python-rtree               1.0.1-3                  0.41 MiB               
[2024-04-12T20:49:51.853Z] world/python-scipy               1.12.0-1               107.11 MiB               
[2024-04-12T20:49:51.853Z] world/python-sqlalchemy          1.4.44-2                20.65 MiB               
[2024-04-12T20:49:51.853Z] 
[2024-04-12T20:49:51.853Z] Total Download Size:     4.27 MiB
[2024-04-12T20:49:51.853Z] Total Installed Size:  659.88 MiB
[2024-04-12T20:49:51.853Z] 
[2024-04-12T20:49:51.853Z] :: Proceed with installation? [Y/n] 
[2024-04-12T20:49:51.853Z] :: Retrieving packages...
[2024-04-12T20:49:51.853Z]  postgis-3.4.2-1-x86_64 downloading...
[2024-04-12T20:49:51.853Z]  thrift-0.20.0-1-x86_64 downloading...
[2024-04-12T20:49:51.853Z] checking keyring...
[2024-04-12T20:49:51.853Z] checking package integrity...
[2024-04-12T20:49:55.975Z] loading package files...
[2024-04-12T20:49:55.975Z] checking for file conflicts...
[2024-04-12T20:49:55.975Z] :: Processing package changes...
[2024-04-12T20:49:55.975Z] installing python-iniconfig...
[2024-04-12T20:49:55.975Z] installing python-pluggy...
[2024-04-12T20:49:55.975Z] installing python-pytest...
[2024-04-12T20:49:55.975Z] installing python-fsspec...
[2024-04-12T20:49:55.975Z] Optional dependencies for python-fsspec
[2024-04-12T20:49:55.975Z]     python-aiohttp: HTTP support
[2024-04-12T20:49:55.975Z]     python-distributed: Dask support
[2024-04-12T20:49:55.975Z]     python-libarchive-c: archives support
[2024-04-12T20:49:55.975Z]     python-lz4: LZ4 compression support
[2024-04-12T20:49:55.975Z]     python-paramiko: SFTP support
[2024-04-12T20:49:55.975Z]     python-pyarrow: Arrow/Parquet support [pending]
[2024-04-12T20:49:55.975Z]     python-pygit2: git support
[2024-04-12T20:49:55.975Z]     python-requests: web protocols support [pending]
[2024-04-12T20:49:55.975Z]     python-smbprotocol: SMB support
[2024-04-12T20:49:55.975Z]     python-snappy: snappy compression support
[2024-04-12T20:49:55.975Z]     python-zstandard: zstandard (zstd) compression support
[2024-04-12T20:49:55.975Z] installing python-pyogrio...
[2024-04-12T20:49:55.975Z] installing spatialindex...
[2024-04-12T20:49:55.975Z] installing python-rtree...
[2024-04-12T20:49:55.975Z] installing graphite...
[2024-04-12T20:49:55.975Z] Optional dependencies for graphite
[2024-04-12T20:49:55.975Z]     graphite-docs: Documentation
[2024-04-12T20:49:55.975Z] installing harfbuzz...
[2024-04-12T20:49:55.975Z] Optional dependencies for harfbuzz
[2024-04-12T20:49:55.975Z]     harfbuzz-utils: utilities
[2024-04-12T20:49:55.975Z] installing freetype2...
[2024-04-12T20:49:55.975Z] installing python-contourpy...
[2024-04-12T20:49:55.975Z] Optional dependencies for python-contourpy
[2024-04-12T20:49:55.975Z]     python-matplotlib: matplotlib renderer [pending]
[2024-04-12T20:49:55.975Z] installing python-cycler...
[2024-04-12T20:49:55.975Z] installing python-fonttools...
[2024-04-12T20:49:55.975Z] Optional dependencies for python-fonttools
[2024-04-12T20:49:55.975Z]     python-brotli: to compress/decompress WOFF 2.0 web fonts
[2024-04-12T20:49:55.975Z]     python-fs: to read/write UFO source files
[2024-04-12T20:49:55.975Z]     python-lxml: faster backend for XML files reading/writing
[2024-04-12T20:49:55.975Z]     python-lz4: for graphite type tables in ttLib/tables
[2024-04-12T20:49:55.975Z]     python-matplotlib: for visualizing DesignSpaceDocument and resulting VariationModel [pending]
[2024-04-12T20:49:55.975Z]     python-pyqt5: for drawing glyphs with Qt’s QPainterPath
[2024-04-12T20:49:55.975Z]     python-reportlab: to drawing glyphs as PNG images
[2024-04-12T20:49:55.975Z]     python-scipy: for finding wrong contour/component order between different masters [pending]
[2024-04-12T20:49:55.975Z]     python-sympy: for symbolic font statistics analysis
[2024-04-12T20:49:55.975Z]     python-uharfbuzz: to use the Harfbuzz Repacker for packing GSUB/GPOS tables
[2024-04-12T20:49:55.975Z]     python-unicodedata2: for displaying the Unicode character names when dumping the cmap table with ttx
[2024-04-12T20:49:55.975Z]     python-zopfli: faster backend fom WOFF 1.0 web fonts compression
[2024-04-12T20:49:55.975Z] installing python-kiwisolver...
[2024-04-12T20:49:55.975Z] installing lcms2...
[2024-04-12T20:49:55.975Z] installing fribidi...
[2024-04-12T20:49:55.975Z] installing libraqm...
[2024-04-12T20:49:55.975Z] installing openjpeg2...
[2024-04-12T20:49:55.975Z] installing libimagequant...
[2024-04-12T20:49:55.975Z] installing xcb-proto...
[2024-04-12T20:49:55.975Z] installing xorgproto...
[2024-04-12T20:49:55.975Z] installing libxdmcp...
[2024-04-12T20:49:55.975Z] installing libxau...
[2024-04-12T20:49:55.975Z] installing libxcb...
[2024-04-12T20:49:56.225Z] installing python-pillow...
[2024-04-12T20:49:56.225Z] Optional dependencies for python-pillow
[2024-04-12T20:49:56.225Z]     libwebp: for webp images
[2024-04-12T20:49:56.225Z]     tk: for the ImageTK module
[2024-04-12T20:49:56.225Z]     python-olefile: OLE2 file support
[2024-04-12T20:49:56.225Z]     python-pyqt6: for the ImageQt module
[2024-04-12T20:49:56.225Z] installing python-pyparsing...
[2024-04-12T20:49:56.225Z] Optional dependencies for python-pyparsing
[2024-04-12T20:49:56.225Z]     python-railroad-diagrams: for generating Railroad Diagrams
[2024-04-12T20:49:56.225Z]     python-jinja: for generating Railroad Diagrams
[2024-04-12T20:49:56.225Z] installing python-matplotlib...
[2024-04-12T20:49:56.226Z] Optional dependencies for python-matplotlib
[2024-04-12T20:49:56.226Z]     tk: Tk{Agg,Cairo} backends
[2024-04-12T20:49:56.226Z]     pyside2: alternative for Qt5{Agg,Cairo} backends
[2024-04-12T20:49:56.226Z]     pyside6: alternative for Qt6{Agg,Cairo} backends
[2024-04-12T20:49:56.226Z]     python-pyqt5: Qt5{Agg,Cairo} backends
[2024-04-12T20:49:56.226Z]     python-pyqt6: Qt6{Agg,Cairo} backends
[2024-04-12T20:49:56.226Z]     python-gobject: for GTK{3,4}{Agg,Cairo} backend
[2024-04-12T20:49:56.226Z]     python-wxpython: WX{Agg,Cairo} backend
[2024-04-12T20:49:56.226Z]     python-cairo: {GTK{3,4},Qt{5,6},Tk,WX}Cairo backends
[2024-04-12T20:49:56.226Z]     python-cairocffi: alternative for Cairo backends
[2024-04-12T20:49:56.226Z]     python-tornado: WebAgg backend
[2024-04-12T20:49:56.226Z]     ffmpeg: for saving movies
[2024-04-12T20:49:56.226Z]     imagemagick: for saving animated gifs
[2024-04-12T20:49:56.226Z]     ghostscript: usetex dependencies [pending]
[2024-04-12T20:49:56.226Z]     texlive-binextra: usetex dependencies
[2024-04-12T20:49:56.226Z]     texlive-fontsrecommended: usetex dependencies
[2024-04-12T20:49:56.226Z]     texlive-latexrecommended: usetex usage with pdflatex
[2024-04-12T20:49:56.226Z]     python-certifi: https support [installed]
[2024-04-12T20:49:56.226Z] installing python-charset-normalizer...
[2024-04-12T20:49:56.226Z] installing python-idna...
[2024-04-12T20:49:56.226Z] installing python-urllib3...
[2024-04-12T20:49:56.226Z] Optional dependencies for python-urllib3
[2024-04-12T20:49:56.226Z]     python-brotli: Brotli support
[2024-04-12T20:49:56.226Z]     python-certifi: security support [installed]
[2024-04-12T20:49:56.226Z]     python-cryptography: security support
[2024-04-12T20:49:56.226Z]     python-idna: security support [installed]
[2024-04-12T20:49:56.226Z]     python-pyopenssl: security support
[2024-04-12T20:49:56.226Z]     python-pysocks: SOCKS support
[2024-04-12T20:49:56.226Z] installing python-requests...
[2024-04-12T20:49:56.226Z] Optional dependencies for python-requests
[2024-04-12T20:49:56.226Z]     python-chardet: alternative character encoding library
[2024-04-12T20:49:56.226Z]     python-pysocks: SOCKS proxy support
[2024-04-12T20:49:56.226Z] installing python-pooch...
[2024-04-12T20:49:56.226Z] Optional dependencies for python-pooch
[2024-04-12T20:49:56.226Z]     python-paramiko: for SFTP downloads
[2024-04-12T20:49:56.226Z]     python-tqdm: for printing a download progress bar
[2024-04-12T20:49:56.226Z] installing python-scipy...
[2024-04-12T20:49:56.776Z] Optional dependencies for python-scipy
[2024-04-12T20:49:56.776Z]     python-pillow: for image saving module [installed]
[2024-04-12T20:49:56.776Z] installing python-geographiclib...
[2024-04-12T20:49:56.776Z] installing python-geopy...
[2024-04-12T20:49:56.776Z] Optional dependencies for python-geopy
[2024-04-12T20:49:56.776Z]     python-aiohttp: for async http support
[2024-04-12T20:49:56.776Z]     python-requests: for requests support [installed]
[2024-04-12T20:49:56.776Z]     python-pytz: for timezone support [installed]
[2024-04-12T20:49:56.776Z] installing python-greenlet...
[2024-04-12T20:49:56.776Z] installing python-sqlalchemy...
[2024-04-12T20:49:56.776Z] Optional dependencies for python-sqlalchemy
[2024-04-12T20:49:56.776Z]     python-psycopg2: connect to PostgreSQL database [pending]
[2024-04-12T20:49:56.776Z] installing postgresql-libs...
[2024-04-12T20:49:56.776Z] installing python-psycopg2...
[2024-04-12T20:49:56.776Z] installing abseil-cpp...
[2024-04-12T20:49:57.026Z] installing protobuf...
[2024-04-12T20:49:57.026Z] installing apache-orc...
[2024-04-12T20:49:57.026Z] installing gflags...
[2024-04-12T20:49:57.026Z] installing c-ares...
[2024-04-12T20:49:57.026Z] installing re2...
[2024-04-12T20:49:57.026Z] installing grpc...
[2024-04-12T20:49:57.026Z] installing google-glog...
[2024-04-12T20:49:57.026Z] installing libutf8proc...
[2024-04-12T20:49:57.026Z] installing thrift...
[2024-04-12T20:49:57.026Z] Optional dependencies for thrift
[2024-04-12T20:49:57.026Z]     qt5-base: TQTcpServer (Qt5) support
[2024-04-12T20:49:57.026Z] installing arrow...
[2024-04-12T20:49:57.277Z] installing python-setuptools-scm...
[2024-04-12T20:49:57.277Z] installing python-pyarrow...
[2024-04-12T20:49:57.277Z] Optional dependencies for python-pyarrow
[2024-04-12T20:49:57.277Z]     python-cffi: interact with C code
[2024-04-12T20:49:57.277Z]     python-pandas: Pandas integration [installed]
[2024-04-12T20:49:57.277Z]     python-fsspec: Filesystem Spec support [installed]
[2024-04-12T20:49:57.277Z] installing libedit...
[2024-04-12T20:49:57.277Z] installing llvm-libs...
[2024-04-12T20:49:57.827Z] installing libxslt...
[2024-04-12T20:49:57.827Z] Optional dependencies for libxslt
[2024-04-12T20:49:57.827Z]     python: Python bindings [installed]
[2024-04-12T20:49:57.827Z] installing postgresql...
[2024-04-12T20:49:58.077Z] Optional dependencies for postgresql
[2024-04-12T20:49:58.077Z]     python: for PL/Python 3 support [installed]
[2024-04-12T20:49:58.077Z]     perl: for PL/Perl support [installed]
[2024-04-12T20:49:58.077Z]     tcl: for PL/Tcl support
[2024-04-12T20:49:58.077Z]     postgresql-old-upgrade: upgrade from previous major version using pg_upgrade
[2024-04-12T20:49:58.077Z]     logrotate: rotates system logs automatically
[2024-04-12T20:49:58.077Z] installing protobuf-c...
[2024-04-12T20:49:58.077Z] installing postgis...
[2024-04-12T20:49:58.077Z] Optional dependencies for postgis
[2024-04-12T20:49:58.077Z]     perl: for contrib script postgis_restore.pl [installed]
[2024-04-12T20:49:58.077Z] installing libice...
[2024-04-12T20:49:58.077Z] installing libsm...
[2024-04-12T20:49:58.077Z] installing libx11...
[2024-04-12T20:49:58.077Z] installing libxt...
[2024-04-12T20:49:58.077Z] installing libelogind...
[2024-04-12T20:49:58.328Z] installing dbus...
[2024-04-12T20:49:58.328Z] installing libdaemon...
[2024-04-12T20:49:58.328Z] installing avahi...
[2024-04-12T20:49:58.328Z] Optional dependencies for avahi
[2024-04-12T20:49:58.328Z]     gtk3: avahi-discover, avahi-discover-standalone, bshell, bssh, bvnc
[2024-04-12T20:49:58.328Z]     libevent: libevent bindings [installed]
[2024-04-12T20:49:58.328Z]     nss-mdns: NSS support for mDNS
[2024-04-12T20:49:58.328Z]     python-dbus: avahi-bookmarks, avahi-discover
[2024-04-12T20:49:58.328Z]     python-gobject: avahi-bookmarks, avahi-discover
[2024-04-12T20:49:58.328Z]     python-twisted: avahi-bookmarks
[2024-04-12T20:49:58.328Z]     qt5-base: qt5 bindings
[2024-04-12T20:49:58.328Z] installing libcups...
[2024-04-12T20:49:58.328Z] installing fontconfig...
[2024-04-12T20:49:58.328Z] Creating fontconfig configuration...
[2024-04-12T20:49:58.328Z] Rebuilding fontconfig cache...
[2024-04-12T20:49:58.578Z] installing jbig2dec...
[2024-04-12T20:49:58.578Z] installing libpaper...
[2024-04-12T20:49:58.578Z] installing ijs...
[2024-04-12T20:49:58.578Z] installing libidn...
[2024-04-12T20:49:58.578Z] installing poppler-data...
[2024-04-12T20:49:58.578Z] installing libxext...
[2024-04-12T20:49:58.578Z] installing libxrender...
[2024-04-12T20:49:58.578Z] installing lzo...
[2024-04-12T20:49:58.578Z] installing pixman...
[2024-04-12T20:49:58.578Z] installing cairo...
[2024-04-12T20:49:58.578Z] installing shared-mime-info...
[2024-04-12T20:49:58.578Z] installing gdk-pixbuf2...
[2024-04-12T20:49:58.578Z] Optional dependencies for gdk-pixbuf2
[2024-04-12T20:49:58.578Z]     libwmf: Load .wmf and .apm
[2024-04-12T20:49:58.578Z]     libopenraw: Load .dng, .cr2, .crw, .nef, .orf, .pef, .arw, .erf, .mrw, and .raf
[2024-04-12T20:49:58.578Z]     libavif: Load .avif
[2024-04-12T20:49:58.578Z]     libheif: Load .heif, .heic, and .avif
[2024-04-12T20:49:58.578Z]     libjxl: Load .jxl
[2024-04-12T20:49:58.578Z]     librsvg: Load .svg, .svgz, and .svg.gz
[2024-04-12T20:49:58.578Z]     webp-pixbuf-loader: Load .webp
[2024-04-12T20:49:58.578Z] installing ghostscript...
[2024-04-12T20:49:58.828Z] Optional dependencies for ghostscript
[2024-04-12T20:49:58.828Z]     gtk3: needed for gsx
[2024-04-12T20:49:59.739Z] :: Running post-transaction hooks...
[2024-04-12T20:49:59.739Z] (1/6) Creating system user accounts...
[2024-04-12T20:49:59.739Z] Creating group 'avahi' with GID 980.
[2024-04-12T20:49:59.739Z] Creating user 'avahi' (Avahi mDNS/DNS-SD daemon) with UID 980 and GID 980.
[2024-04-12T20:49:59.739Z] Creating group 'dbus' with GID 81.
[2024-04-12T20:49:59.739Z] Creating user 'dbus' (System Message Bus) with UID 81 and GID 81.
[2024-04-12T20:49:59.739Z] Creating group 'postgres' with GID 979.
[2024-04-12T20:49:59.739Z] Creating user 'postgres' (PostgreSQL user) with UID 979 and GID 979.
[2024-04-12T20:49:59.739Z] (2/6) Creating temporary files...
[2024-04-12T20:49:59.739Z] (3/6) Updating the MIME type database...
[2024-04-12T20:49:59.989Z] (4/6) Updating fontconfig configuration...
[2024-04-12T20:49:59.989Z] (5/6) Updating fontconfig cache...
[2024-04-12T20:50:00.239Z] (6/6) Updating the info directory file...
[2024-04-12T20:50:00.240Z] ==> Retrieving sources...
[2024-04-12T20:50:00.240Z]   -> Found python-geopandas-0.14.3.tar.gz
[2024-04-12T20:50:00.240Z] ==> WARNING: Skipping all source file integrity checks.
[2024-04-12T20:50:00.240Z] ==> Extracting sources...
[2024-04-12T20:50:00.490Z]   -> Extracting python-geopandas-0.14.3.tar.gz with bsdtar
[2024-04-12T20:50:00.490Z] ==> Starting build()...
[2024-04-12T20:50:00.740Z] Failed to load config from /build/python-geopandas/src/geopandas-0.14.3/pyproject.toml: 'versioneer'
[2024-04-12T20:50:00.740Z] Try to load it from setup.cfg
[2024-04-12T20:50:00.740Z] validate_pyproject.api.load_builtin_plugin defines `tool.distutils` schema
[2024-04-12T20:50:00.740Z] validate_pyproject.api.load_builtin_plugin defines `tool.setuptools` schema
[2024-04-12T20:50:00.991Z] running build
[2024-04-12T20:50:00.991Z] running build_py
[2024-04-12T20:50:00.991Z] Failed to load config from /build/python-geopandas/src/geopandas-0.14.3/pyproject.toml: 'versioneer'
[2024-04-12T20:50:00.991Z] Try to load it from setup.cfg
[2024-04-12T20:50:00.991Z] Failed to load config from /build/python-geopandas/src/geopandas-0.14.3/pyproject.toml: 'versioneer'
[2024-04-12T20:50:00.991Z] Try to load it from setup.cfg
[2024-04-12T20:50:00.991Z] creating build
[2024-04-12T20:50:00.991Z] creating build/lib
[2024-04-12T20:50:00.991Z] creating build/lib/geopandas
[2024-04-12T20:50:00.991Z] copying geopandas/__init__.py -> build/lib/geopandas
[2024-04-12T20:50:00.991Z] copying geopandas/_compat.py -> build/lib/geopandas
[2024-04-12T20:50:00.991Z] copying geopandas/geoseries.py -> build/lib/geopandas
[2024-04-12T20:50:00.991Z] copying geopandas/_decorator.py -> build/lib/geopandas
[2024-04-12T20:50:00.991Z] copying geopandas/_vectorized.py -> build/lib/geopandas
[2024-04-12T20:50:00.991Z] copying geopandas/base.py -> build/lib/geopandas
[2024-04-12T20:50:00.991Z] copying geopandas/_config.py -> build/lib/geopandas
[2024-04-12T20:50:00.991Z] copying geopandas/_version.py -> build/lib/geopandas
[2024-04-12T20:50:00.991Z] copying geopandas/plotting.py -> build/lib/geopandas
[2024-04-12T20:50:00.991Z] copying geopandas/array.py -> build/lib/geopandas
[2024-04-12T20:50:00.991Z] copying geopandas/explore.py -> build/lib/geopandas
[2024-04-12T20:50:00.991Z] copying geopandas/sindex.py -> build/lib/geopandas
[2024-04-12T20:50:00.991Z] copying geopandas/geodataframe.py -> build/lib/geopandas
[2024-04-12T20:50:00.991Z] copying geopandas/conftest.py -> build/lib/geopandas
[2024-04-12T20:50:00.991Z] copying geopandas/testing.py -> build/lib/geopandas
[2024-04-12T20:50:00.991Z] creating build/lib/geopandas/tools
[2024-04-12T20:50:00.991Z] copying geopandas/tools/__init__.py -> build/lib/geopandas/tools
[2024-04-12T20:50:00.991Z] copying geopandas/tools/hilbert_curve.py -> build/lib/geopandas/tools
[2024-04-12T20:50:00.991Z] copying geopandas/tools/overlay.py -> build/lib/geopandas/tools
[2024-04-12T20:50:00.991Z] copying geopandas/tools/_show_versions.py -> build/lib/geopandas/tools
[2024-04-12T20:50:00.991Z] copying geopandas/tools/util.py -> build/lib/geopandas/tools
[2024-04-12T20:50:00.991Z] copying geopandas/tools/sjoin.py -> build/lib/geopandas/tools
[2024-04-12T20:50:00.991Z] copying geopandas/tools/clip.py -> build/lib/geopandas/tools
[2024-04-12T20:50:00.991Z] copying geopandas/tools/_random.py -> build/lib/geopandas/tools
[2024-04-12T20:50:00.991Z] copying geopandas/tools/geocoding.py -> build/lib/geopandas/tools
[2024-04-12T20:50:00.991Z] creating build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/__init__.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_decorator.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_types.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_plotting.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_merge.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_dissolve.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_array.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_pandas_methods.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_show_versions.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_config.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_geocode.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_explore.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_compat.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_sindex.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_datasets.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/util.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_geom_methods.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_crs.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_api.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_overlay.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_op_output_types.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_extension_array.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_testing.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_geodataframe.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tests/test_geoseries.py -> build/lib/geopandas/tests
[2024-04-12T20:50:00.991Z] creating build/lib/geopandas/io
[2024-04-12T20:50:00.991Z] copying geopandas/io/__init__.py -> build/lib/geopandas/io
[2024-04-12T20:50:00.991Z] copying geopandas/io/sql.py -> build/lib/geopandas/io
[2024-04-12T20:50:00.991Z] copying geopandas/io/file.py -> build/lib/geopandas/io
[2024-04-12T20:50:00.991Z] copying geopandas/io/arrow.py -> build/lib/geopandas/io
[2024-04-12T20:50:00.991Z] copying geopandas/io/_pyarrow_hotfix.py -> build/lib/geopandas/io
[2024-04-12T20:50:00.991Z] creating build/lib/geopandas/datasets
[2024-04-12T20:50:00.991Z] copying geopandas/datasets/__init__.py -> build/lib/geopandas/datasets
[2024-04-12T20:50:00.991Z] copying geopandas/datasets/naturalearth_creation.py -> build/lib/geopandas/datasets
[2024-04-12T20:50:00.991Z] creating build/lib/geopandas/tools/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tools/tests/__init__.py -> build/lib/geopandas/tools/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tools/tests/test_sjoin.py -> build/lib/geopandas/tools/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tools/tests/test_tools.py -> build/lib/geopandas/tools/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tools/tests/test_clip.py -> build/lib/geopandas/tools/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tools/tests/test_random.py -> build/lib/geopandas/tools/tests
[2024-04-12T20:50:00.991Z] copying geopandas/tools/tests/test_hilbert_curve.py -> build/lib/geopandas/tools/tests
[2024-04-12T20:50:00.991Z] creating build/lib/geopandas/io/tests
[2024-04-12T20:50:00.991Z] copying geopandas/io/tests/__init__.py -> build/lib/geopandas/io/tests
[2024-04-12T20:50:00.991Z] copying geopandas/io/tests/test_file_geom_types_drivers.py -> build/lib/geopandas/io/tests
[2024-04-12T20:50:00.991Z] copying geopandas/io/tests/generate_legacy_storage_files.py -> build/lib/geopandas/io/tests
[2024-04-12T20:50:00.991Z] copying geopandas/io/tests/test_pickle.py -> build/lib/geopandas/io/tests
[2024-04-12T20:50:00.991Z] copying geopandas/io/tests/test_sql.py -> build/lib/geopandas/io/tests
[2024-04-12T20:50:00.991Z] copying geopandas/io/tests/test_infer_schema.py -> build/lib/geopandas/io/tests
[2024-04-12T20:50:00.991Z] copying geopandas/io/tests/test_file.py -> build/lib/geopandas/io/tests
[2024-04-12T20:50:00.991Z] copying geopandas/io/tests/test_arrow.py -> build/lib/geopandas/io/tests
[2024-04-12T20:50:00.991Z] running egg_info
[2024-04-12T20:50:00.991Z] creating geopandas.egg-info
[2024-04-12T20:50:00.991Z] writing geopandas.egg-info/PKG-INFO
[2024-04-12T20:50:00.991Z] writing dependency_links to geopandas.egg-info/dependency_links.txt
[2024-04-12T20:50:00.991Z] writing requirements to geopandas.egg-info/requires.txt
[2024-04-12T20:50:00.991Z] writing top-level names to geopandas.egg-info/top_level.txt
[2024-04-12T20:50:00.991Z] writing manifest file 'geopandas.egg-info/SOURCES.txt'
[2024-04-12T20:50:00.991Z] reading manifest file 'geopandas.egg-info/SOURCES.txt'
[2024-04-12T20:50:00.991Z] reading manifest template 'MANIFEST.in'
[2024-04-12T20:50:00.991Z] adding license file 'LICENSE.txt'
[2024-04-12T20:50:00.991Z] writing manifest file 'geopandas.egg-info/SOURCES.txt'
[2024-04-12T20:50:00.991Z] Failed to load config from /build/python-geopandas/src/geopandas-0.14.3/pyproject.toml: 'versioneer'
[2024-04-12T20:50:00.991Z] Try to load it from setup.cfg
[2024-04-12T20:50:00.991Z] copying geopandas/datasets/nybb_16a.zip -> build/lib/geopandas/datasets
[2024-04-12T20:50:00.991Z] creating build/lib/geopandas/datasets/naturalearth_cities
[2024-04-12T20:50:00.991Z] copying geopandas/datasets/naturalearth_cities/naturalearth_cities.dbf -> build/lib/geopandas/datasets/naturalearth_cities
[2024-04-12T20:50:00.991Z] copying geopandas/datasets/naturalearth_cities/naturalearth_cities.prj -> build/lib/geopandas/datasets/naturalearth_cities
[2024-04-12T20:50:00.991Z] copying geopandas/datasets/naturalearth_cities/naturalearth_cities.shx -> build/lib/geopandas/datasets/naturalearth_cities
[2024-04-12T20:50:00.991Z] copying geopandas/datasets/naturalearth_cities/naturalearth_cities.shp -> build/lib/geopandas/datasets/naturalearth_cities
[2024-04-12T20:50:00.991Z] copying geopandas/datasets/naturalearth_cities/naturalearth_cities.README.html -> build/lib/geopandas/datasets/naturalearth_cities
[2024-04-12T20:50:00.991Z] copying geopandas/datasets/naturalearth_cities/naturalearth_cities.cpg -> build/lib/geopandas/datasets/naturalearth_cities
[2024-04-12T20:50:00.991Z] copying geopandas/datasets/naturalearth_cities/naturalearth_cities.VERSION.txt -> build/lib/geopandas/datasets/naturalearth_cities
[2024-04-12T20:50:00.991Z] creating build/lib/geopandas/datasets/naturalearth_lowres
[2024-04-12T20:50:00.991Z] copying geopandas/datasets/naturalearth_lowres/naturalearth_lowres.cpg -> build/lib/geopandas/datasets/naturalearth_lowres
[2024-04-12T20:50:00.991Z] copying geopandas/datasets/naturalearth_lowres/naturalearth_lowres.dbf -> build/lib/geopandas/datasets/naturalearth_lowres
[2024-04-12T20:50:00.991Z] copying geopandas/datasets/naturalearth_lowres/naturalearth_lowres.prj -> build/lib/geopandas/datasets/naturalearth_lowres
[2024-04-12T20:50:00.991Z] copying geopandas/datasets/naturalearth_lowres/naturalearth_lowres.shx -> build/lib/geopandas/datasets/naturalearth_lowres
[2024-04-12T20:50:00.991Z] copying geopandas/datasets/naturalearth_lowres/naturalearth_lowres.shp -> build/lib/geopandas/datasets/naturalearth_lowres
[2024-04-12T20:50:00.991Z] creating build/lib/geopandas/tests/data
[2024-04-12T20:50:00.991Z] copying geopandas/tests/data/null_geom.geojson -> build/lib/geopandas/tests/data
[2024-04-12T20:50:00.991Z] UPDATING build/lib/geopandas/_version.py
[2024-04-12T20:50:00.991Z] set build/lib/geopandas/_version.py to '0.14.3'
[2024-04-12T20:50:00.991Z] ==> Starting check()...
[2024-04-12T20:50:01.242Z] [1m============================= test session starts ==============================[0m
[2024-04-12T20:50:01.242Z] platform linux -- Python 3.11.8, pytest-8.1.1, pluggy-1.4.0 -- /bin/python
[2024-04-12T20:50:01.242Z] cachedir: .pytest_cache
[2024-04-12T20:50:01.242Z] rootdir: /build/python-geopandas/src/geopandas-0.14.3
[2024-04-12T20:50:01.242Z] configfile: pyproject.toml
[2024-04-12T20:50:01.242Z] plugins: typeguard-4.2.1
[2024-04-12T20:50:05.364Z] [1mcollecting ... [0mcollected 2244 items / 3 deselected / 1 skipped / 2241 selected
[2024-04-12T20:50:05.364Z] 
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_create_metadata [32mPASSED[0m[33m            [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_crs_metadata_datum_ensemble [32mPASSED[0m[33m [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_write_metadata_invalid_spec_version [32mPASSED[0m[33m [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_encode_metadata [32mPASSED[0m[33m            [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_decode_metadata [32mPASSED[0m[33m            [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_validate_dataframe [32mPASSED[0m[33m         [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_validate_metadata_valid [32mPASSED[0m[33m    [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_validate_metadata_invalid[None-Missing or malformed geo metadata in Parquet/Feather file] [32mPASSED[0m[33m [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_validate_metadata_invalid[metadata1-Missing or malformed geo metadata in Parquet/Feather file] [32mPASSED[0m[33m [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_validate_metadata_invalid[metadata2-'geo' metadata in Parquet/Feather file is missing required key] [32mPASSED[0m[33m [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_validate_metadata_invalid[metadata3-'geo' metadata in Parquet/Feather file is missing required key:] [32mPASSED[0m[33m [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_validate_metadata_invalid[metadata4-'geo' metadata in Parquet/Feather file is missing required key:] [32mPASSED[0m[33m [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_validate_metadata_invalid[metadata5-'columns' in 'geo' metadata must be a dict] [32mPASSED[0m[33m [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_validate_metadata_invalid[metadata6-'geo' metadata in Parquet/Feather file is missing required key 'encoding' for column 'foo'] [32mPASSED[0m[33m [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_validate_metadata_invalid[metadata7-Only WKB geometry encoding is supported] [32mPASSED[0m[33m [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_validate_metadata_invalid[metadata8-Only WKB geometry encoding is supported] [32mPASSED[0m[33m [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_validate_metadata_edges [32mPASSED[0m[33m    [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_to_parquet_fails_on_invalid_engine [32mPASSED[0m[33m [  0%][0m
[2024-04-12T20:50:05.614Z] geopandas/io/tests/test_arrow.py::test_to_parquet_does_not_pass_engine_along [32mPASSED[0m[33m [  0%][0m
[2024-04-12T20:50:05.864Z] geopandas/io/tests/test_arrow.py::test_pandas_parquet_roundtrip1 [31mFAILED[0m[31m  [  0%][0m
[2024-04-12T20:50:06.114Z] geopandas/io/tests/test_arrow.py::test_pandas_parquet_roundtrip2[naturalearth_lowres] [31mFAILED[0m[31m [  0%][0m
[2024-04-12T20:50:06.114Z] geopandas/io/tests/test_arrow.py::test_pandas_parquet_roundtrip2[naturalearth_cities] [31mFAILED[0m[31m [  0%][0m
[2024-04-12T20:50:06.365Z] geopandas/io/tests/test_arrow.py::test_pandas_parquet_roundtrip2[nybb] [31mFAILED[0m[31m [  1%][0m
[2024-04-12T20:50:06.615Z] geopandas/io/tests/test_arrow.py::test_roundtrip[parquet-naturalearth_lowres] [31mFAILED[0m[31m [  1%][0m
[2024-04-12T20:50:06.615Z] geopandas/io/tests/test_arrow.py::test_roundtrip[parquet-naturalearth_cities] [31mFAILED[0m[31m [  1%][0m
[2024-04-12T20:50:06.865Z] geopandas/io/tests/test_arrow.py::test_roundtrip[parquet-nybb] [31mFAILED[0m[31m    [  1%][0m
[2024-04-12T20:50:07.116Z] geopandas/io/tests/test_arrow.py::test_roundtrip[feather-naturalearth_lowres] [32mPASSED[0m[31m [  1%][0m
[2024-04-12T20:50:07.116Z] geopandas/io/tests/test_arrow.py::test_roundtrip[feather-naturalearth_cities] [32mPASSED[0m[31m [  1%][0m
[2024-04-12T20:50:08.026Z] geopandas/io/tests/test_arrow.py::test_roundtrip[feather-nybb] [32mPASSED[0m[31m    [  1%][0m
[2024-04-12T20:50:08.026Z] geopandas/io/tests/test_arrow.py::test_index[parquet] [31mFAILED[0m[31m             [  1%][0m
[2024-04-12T20:50:08.277Z] geopandas/io/tests/test_arrow.py::test_index[feather] [32mPASSED[0m[31m             [  1%][0m
[2024-04-12T20:50:08.527Z] geopandas/io/tests/test_arrow.py::test_parquet_compression[snappy] [31mFAILED[0m[31m [  1%][0m
[2024-04-12T20:50:08.527Z] geopandas/io/tests/test_arrow.py::test_parquet_compression[gzip] [31mFAILED[0m[31m  [  1%][0m
[2024-04-12T20:50:08.777Z] geopandas/io/tests/test_arrow.py::test_parquet_compression[brotli] [31mFAILED[0m[31m [  1%][0m
[2024-04-12T20:50:08.777Z] geopandas/io/tests/test_arrow.py::test_parquet_compression[None] [31mFAILED[0m[31m  [  1%][0m
[2024-04-12T20:50:09.028Z] geopandas/io/tests/test_arrow.py::test_feather_compression[uncompressed] [32mPASSED[0m[31m [  1%][0m
[2024-04-12T20:50:09.028Z] geopandas/io/tests/test_arrow.py::test_feather_compression[lz4] [32mPASSED[0m[31m   [  1%][0m
[2024-04-12T20:50:09.278Z] geopandas/io/tests/test_arrow.py::test_feather_compression[zstd] [32mPASSED[0m[31m  [  1%][0m
[2024-04-12T20:50:09.278Z] geopandas/io/tests/test_arrow.py::test_parquet_multiple_geom_cols[parquet] [31mFAILED[0m[31m [  1%][0m
[2024-04-12T20:50:09.528Z] geopandas/io/tests/test_arrow.py::test_parquet_multiple_geom_cols[feather] [32mPASSED[0m[31m [  1%][0m
[2024-04-12T20:50:09.779Z] geopandas/io/tests/test_arrow.py::test_parquet_missing_metadata [31mFAILED[0m[31m   [  1%][0m
[2024-04-12T20:50:09.779Z] geopandas/io/tests/test_arrow.py::test_parquet_missing_metadata2 [31mFAILED[0m[31m  [  1%][0m
[2024-04-12T20:50:09.779Z] geopandas/io/tests/test_arrow.py::test_parquet_invalid_metadata[geo_meta0-Missing or malformed geo metadata in Parquet/Feather file] [31mFAILED[0m[31m [  1%][0m
[2024-04-12T20:50:09.779Z] geopandas/io/tests/test_arrow.py::test_parquet_invalid_metadata[geo_meta1-Missing or malformed geo metadata in Parquet/Feather file] [31mFAILED[0m[31m [  1%][0m
[2024-04-12T20:50:10.029Z] geopandas/io/tests/test_arrow.py::test_parquet_invalid_metadata[geo_meta2-'geo' metadata in Parquet/Feather file is missing required key] [31mFAILED[0m[31m [  2%][0m
[2024-04-12T20:50:10.029Z] geopandas/io/tests/test_arrow.py::test_subset_columns[parquet] [31mFAILED[0m[31m    [  2%][0m
[2024-04-12T20:50:10.279Z] geopandas/io/tests/test_arrow.py::test_subset_columns[feather] [32mPASSED[0m[31m    [  2%][0m
[2024-04-12T20:50:10.279Z] geopandas/io/tests/test_arrow.py::test_promote_secondary_geometry[parquet] [31mFAILED[0m[31m [  2%][0m
[2024-04-12T20:50:10.530Z] geopandas/io/tests/test_arrow.py::test_promote_secondary_geometry[feather] [32mPASSED[0m[31m [  2%][0m
[2024-04-12T20:50:10.530Z] geopandas/io/tests/test_arrow.py::test_columns_no_geometry[parquet] [31mFAILED[0m[31m [  2%][0m
[2024-04-12T20:50:10.780Z] geopandas/io/tests/test_arrow.py::test_columns_no_geometry[feather] [32mPASSED[0m[31m [  2%][0m
[2024-04-12T20:50:10.780Z] geopandas/io/tests/test_arrow.py::test_missing_crs[parquet] [31mFAILED[0m[31m       [  2%][0m
[2024-04-12T20:50:11.030Z] geopandas/io/tests/test_arrow.py::test_missing_crs[feather] [32mPASSED[0m[31m       [  2%][0m
[2024-04-12T20:50:11.030Z] geopandas/io/tests/test_arrow.py::test_default_geo_col_writes [31mFAILED[0m[31m     [  2%][0m
[2024-04-12T20:50:11.030Z] geopandas/io/tests/test_arrow.py::test_feather_arrow_version [33mSKIPPED[0m[31m     [  2%][0m
[2024-04-12T20:50:11.030Z] geopandas/io/tests/test_arrow.py::test_fsspec_url [31mFAILED[0m[31m                 [  2%][0m
[2024-04-12T20:50:11.030Z] geopandas/io/tests/test_arrow.py::test_non_fsspec_url_with_storage_options_raises [31mFAILED[0m[31m [  2%][0m
[2024-04-12T20:50:11.030Z] geopandas/io/tests/test_arrow.py::test_prefers_pyarrow_fs [32mPASSED[0m[31m         [  2%][0m
[2024-04-12T20:50:11.280Z] geopandas/io/tests/test_arrow.py::test_write_read_parquet_expand_user [31mFAILED[0m[31m [  2%][0m
[2024-04-12T20:50:11.280Z] geopandas/io/tests/test_arrow.py::test_write_read_feather_expand_user [32mPASSED[0m[31m [  2%][0m
[2024-04-12T20:50:11.280Z] geopandas/io/tests/test_arrow.py::test_write_empty_bbox[geometry0] [31mFAILED[0m[31m [  2%][0m
[2024-04-12T20:50:11.280Z] geopandas/io/tests/test_arrow.py::test_write_empty_bbox[geometry1] [31mFAILED[0m[31m [  2%][0m
[2024-04-12T20:50:11.280Z] geopandas/io/tests/test_arrow.py::test_write_read_default_crs[feather] [32mPASSED[0m[31m [  2%][0m
[2024-04-12T20:50:11.531Z] geopandas/io/tests/test_arrow.py::test_write_read_default_crs[parquet] [31mFAILED[0m[31m [  2%][0m
[2024-04-12T20:50:11.531Z] geopandas/io/tests/test_arrow.py::test_write_iso_wkb [31mFAILED[0m[31m              [  2%][0m
[2024-04-12T20:50:11.531Z] geopandas/io/tests/test_arrow.py::test_write_spec_version[feather-None] [32mPASSED[0m[31m [  2%][0m
[2024-04-12T20:50:11.531Z] geopandas/io/tests/test_arrow.py::test_write_spec_version[feather-0.1.0] [32mPASSED[0m[31m [  2%][0m
[2024-04-12T20:50:11.531Z] geopandas/io/tests/test_arrow.py::test_write_spec_version[feather-0.4.0] [32mPASSED[0m[31m [  3%][0m
[2024-04-12T20:50:11.531Z] geopandas/io/tests/test_arrow.py::test_write_spec_version[feather-1.0.0-beta.1] [32mPASSED[0m[31m [  3%][0m
[2024-04-12T20:50:11.531Z] geopandas/io/tests/test_arrow.py::test_write_spec_version[feather-1.0.0] [32mPASSED[0m[31m [  3%][0m
[2024-04-12T20:50:11.531Z] geopandas/io/tests/test_arrow.py::test_write_spec_version[parquet-None] [31mFAILED[0m[31m [  3%][0m
[2024-04-12T20:50:11.531Z] geopandas/io/tests/test_arrow.py::test_write_spec_version[parquet-0.1.0] [31mFAILED[0m[31m [  3%][0m
[2024-04-12T20:50:11.781Z] geopandas/io/tests/test_arrow.py::test_write_spec_version[parquet-0.4.0] [31mFAILED[0m[31m [  3%][0m
[2024-04-12T20:50:11.781Z] geopandas/io/tests/test_arrow.py::test_write_spec_version[parquet-1.0.0-beta.1] [31mFAILED[0m[31m [  3%][0m
[2024-04-12T20:50:11.781Z] geopandas/io/tests/test_arrow.py::test_write_spec_version[parquet-1.0.0] [31mFAILED[0m[31m [  3%][0m
[2024-04-12T20:50:11.781Z] geopandas/io/tests/test_arrow.py::test_write_deprecated_version_parameter[feather-None] [32mPASSED[0m[31m [  3%][0m
[2024-04-12T20:50:11.781Z] geopandas/io/tests/test_arrow.py::test_write_deprecated_version_parameter[feather-0.1.0] [32mPASSED[0m[31m [  3%][0m
[2024-04-12T20:50:11.781Z] geopandas/io/tests/test_arrow.py::test_write_deprecated_version_parameter[feather-0.4.0] [32mPASSED[0m[31m [  3%][0m
[2024-04-12T20:50:11.781Z] geopandas/io/tests/test_arrow.py::test_write_deprecated_version_parameter[feather-1.0.0-beta.1] [32mPASSED[0m[31m [  3%][0m
[2024-04-12T20:50:11.781Z] geopandas/io/tests/test_arrow.py::test_write_deprecated_version_parameter[feather-1.0.0] [32mPASSED[0m[31m [  3%][0m
[2024-04-12T20:50:11.781Z] geopandas/io/tests/test_arrow.py::test_write_deprecated_version_parameter[parquet-None] [31mFAILED[0m[31m [  3%][0m
[2024-04-12T20:50:12.031Z] geopandas/io/tests/test_arrow.py::test_write_deprecated_version_parameter[parquet-0.1.0] [31mFAILED[0m[31m [  3%][0m
[2024-04-12T20:50:12.031Z] geopandas/io/tests/test_arrow.py::test_write_deprecated_version_parameter[parquet-0.4.0] [31mFAILED[0m[31m [  3%][0m
[2024-04-12T20:50:12.031Z] geopandas/io/tests/test_arrow.py::test_write_deprecated_version_parameter[parquet-1.0.0-beta.1] [31mFAILED[0m[31m [  3%][0m
[2024-04-12T20:50:12.031Z] geopandas/io/tests/test_arrow.py::test_write_deprecated_version_parameter[parquet-1.0.0] [31mFAILED[0m[31m [  3%][0m
[2024-04-12T20:50:12.031Z] geopandas/io/tests/test_arrow.py::test_read_versioned_file[0.1.0] [31mFAILED[0m[31m [  3%][0m
[2024-04-12T20:50:12.282Z] geopandas/io/tests/test_arrow.py::test_read_versioned_file[0.4.0] [31mFAILED[0m[31m [  3%][0m
[2024-04-12T20:50:12.282Z] geopandas/io/tests/test_arrow.py::test_read_versioned_file[1.0.0-beta.1] [31mFAILED[0m[31m [  3%][0m
[2024-04-12T20:50:12.282Z] geopandas/io/tests/test_arrow.py::test_read_gdal_files [31mFAILED[0m[31m            [  3%][0m
[2024-04-12T20:50:12.282Z] geopandas/io/tests/test_arrow.py::test_parquet_read_partitioned_dataset [31mFAILED[0m[31m [  4%][0m
[2024-04-12T20:50:12.532Z] geopandas/io/tests/test_arrow.py::test_parquet_read_partitioned_dataset_fsspec [31mFAILED[0m[31m [  4%][0m
[2024-04-12T20:50:12.782Z] geopandas/io/tests/test_file.py::test_to_file[fiona-ESRI Shapefile-.shp] [32mPASSED[0m[31m [  4%][0m
[2024-04-12T20:50:13.693Z] geopandas/io/tests/test_file.py::test_to_file[fiona-GeoJSON-.geojson] [32mPASSED[0m[31m [  4%][0m
[2024-04-12T20:50:13.943Z] geopandas/io/tests/test_file.py::test_to_file[fiona-GPKG-.gpkg] [32mPASSED[0m[31m   [  4%][0m
[2024-04-12T20:50:14.494Z] geopandas/io/tests/test_file.py::test_to_file[fiona-None-.shp] [32mPASSED[0m[31m    [  4%][0m
[2024-04-12T20:50:14.744Z] geopandas/io/tests/test_file.py::test_to_file[fiona-None-] [32mPASSED[0m[31m        [  4%][0m
[2024-04-12T20:50:15.654Z] geopandas/io/tests/test_file.py::test_to_file[fiona-None-.geojson] [32mPASSED[0m[31m [  4%][0m
[2024-04-12T20:50:16.205Z] geopandas/io/tests/test_file.py::test_to_file[fiona-None-.gpkg] [32mPASSED[0m[31m   [  4%][0m
[2024-04-12T20:50:16.205Z] geopandas/io/tests/test_file.py::test_to_file[pyogrio-ESRI Shapefile-.shp] [32mPASSED[0m[31m [  4%][0m
[2024-04-12T20:50:16.755Z] geopandas/io/tests/test_file.py::test_to_file[pyogrio-GeoJSON-.geojson] [32mPASSED[0m[31m [  4%][0m
[2024-04-12T20:50:16.755Z] geopandas/io/tests/test_file.py::test_to_file[pyogrio-GPKG-.gpkg] [32mPASSED[0m[31m [  4%][0m
[2024-04-12T20:50:16.755Z] geopandas/io/tests/test_file.py::test_to_file[pyogrio-None-.shp] [32mPASSED[0m[31m  [  4%][0m
[2024-04-12T20:50:16.755Z] geopandas/io/tests/test_file.py::test_to_file[pyogrio-None-] [32mPASSED[0m[31m      [  4%][0m
[2024-04-12T20:50:17.306Z] geopandas/io/tests/test_file.py::test_to_file[pyogrio-None-.geojson] [32mPASSED[0m[31m [  4%][0m
[2024-04-12T20:50:17.306Z] geopandas/io/tests/test_file.py::test_to_file[pyogrio-None-.gpkg] [32mPASSED[0m[31m [  4%][0m
[2024-04-12T20:50:17.556Z] geopandas/io/tests/test_file.py::test_to_file_pathlib[fiona-ESRI Shapefile-.shp] [32mPASSED[0m[31m [  4%][0m
[2024-04-12T20:50:18.467Z] geopandas/io/tests/test_file.py::test_to_file_pathlib[fiona-GeoJSON-.geojson] [32mPASSED[0m[31m [  4%][0m
[2024-04-12T20:50:19.017Z] geopandas/io/tests/test_file.py::test_to_file_pathlib[fiona-GPKG-.gpkg] [32mPASSED[0m[31m [  4%][0m
[2024-04-12T20:50:19.267Z] geopandas/io/tests/test_file.py::test_to_file_pathlib[fiona-None-.shp] [32mPASSED[0m[31m [  4%][0m
[2024-04-12T20:50:19.518Z] geopandas/io/tests/test_file.py::test_to_file_pathlib[fiona-None-] [32mPASSED[0m[31m [  4%][0m
[2024-04-12T20:50:20.428Z] geopandas/io/tests/test_file.py::test_to_file_pathlib[fiona-None-.geojson] [32mPASSED[0m[31m [  4%][0m
[2024-04-12T20:50:20.979Z] geopandas/io/tests/test_file.py::test_to_file_pathlib[fiona-None-.gpkg] [32mPASSED[0m[31m [  4%][0m
[2024-04-12T20:50:20.979Z] geopandas/io/tests/test_file.py::test_to_file_pathlib[pyogrio-ESRI Shapefile-.shp] [32mPASSED[0m[31m [  5%][0m
[2024-04-12T20:50:21.529Z] geopandas/io/tests/test_file.py::test_to_file_pathlib[pyogrio-GeoJSON-.geojson] [32mPASSED[0m[31m [  5%][0m
[2024-04-12T20:50:21.529Z] geopandas/io/tests/test_file.py::test_to_file_pathlib[pyogrio-GPKG-.gpkg] [32mPASSED[0m[31m [  5%][0m
[2024-04-12T20:50:21.529Z] geopandas/io/tests/test_file.py::test_to_file_pathlib[pyogrio-None-.shp] [32mPASSED[0m[31m [  5%][0m
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[2024-04-12T20:50:25.994Z] geopandas/io/tests/test_file.py::test_to_file_with_duplicate_columns[fiona] [32mPASSED[0m[31m [ 10%][0m
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[2024-04-12T20:50:37.134Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-.geojson] [32mPASSED[0m[31m [ 11%][0m
[2024-04-12T20:50:37.134Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-.gpkg] [32mPASSED[0m[31m [ 11%][0m
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[2024-04-12T20:50:37.134Z] geopandas/io/tests/test_file.py::test_empty_crs[fiona-GeoJSON-.geojson] [32mPASSED[0m[31m [ 11%][0m
[2024-04-12T20:50:37.134Z] geopandas/io/tests/test_file.py::test_empty_crs[fiona-GPKG-.gpkg] [33mXFAIL[0m[31m  [ 11%][0m
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[2024-04-12T20:50:37.134Z] geopandas/io/tests/test_file.py::test_empty_crs[fiona-None-.geojson] [32mPASSED[0m[31m [ 11%][0m
[2024-04-12T20:50:37.134Z] geopandas/io/tests/test_file.py::test_empty_crs[fiona-None-.gpkg] [33mXFAIL[0m[31m  [ 11%][0m
[2024-04-12T20:50:37.134Z] geopandas/io/tests/test_file.py::test_empty_crs[pyogrio-ESRI Shapefile-.shp] [32mPASSED[0m[31m [ 11%][0m
[2024-04-12T20:50:37.134Z] geopandas/io/tests/test_file.py::test_empty_crs[pyogrio-GeoJSON-.geojson] [32mPASSED[0m[31m [ 11%][0m
[2024-04-12T20:50:37.134Z] geopandas/io/tests/test_file.py::test_empty_crs[pyogrio-GPKG-.gpkg] [33mXFAIL[0m[31m [ 11%][0m
[2024-04-12T20:50:37.134Z] geopandas/io/tests/test_file.py::test_empty_crs[pyogrio-None-.shp] [32mPASSED[0m[31m [ 12%][0m
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[2024-04-12T20:50:37.384Z] geopandas/io/tests/test_file.py::test_empty_crs[pyogrio-None-.gpkg] [33mXFAIL[0m[31m [ 12%][0m
[2024-04-12T20:50:37.384Z] geopandas/io/tests/test_file.py::test_read_file[fiona] [32mPASSED[0m[31m            [ 12%][0m
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[2024-04-12T20:50:38.485Z] geopandas/io/tests/test_file.py::test_read_file_url[fiona-https://raw.githubusercontent.com/geopandas/geopandas/main/geopandas/tests/data/nybb_16a.zip] [32mPASSED[0m[31m [ 12%][0m
[2024-04-12T20:50:39.828Z] geopandas/io/tests/test_file.py::test_read_file_url[fiona-https://geonode.goosocean.org/download/480] [32mPASSED[0m[31m [ 12%][0m
[2024-04-12T20:50:40.079Z] geopandas/io/tests/test_file.py::test_read_file_url[fiona-https://demo.pygeoapi.io/stable/collections/obs/items] [32mPASSED[0m[31m [ 12%][0m
[2024-04-12T20:50:40.079Z] geopandas/io/tests/test_file.py::test_read_file_url[pyogrio-https://raw.githubusercontent.com/geopandas/geopandas/main/geopandas/tests/data/null_geom.geojson] [32mPASSED[0m[31m [ 12%][0m
[2024-04-12T20:50:40.079Z] geopandas/io/tests/test_file.py::test_read_file_url[pyogrio-https://raw.githubusercontent.com/geopandas/geopandas/main/geopandas/tests/data/nybb_16a.zip] [32mPASSED[0m[31m [ 12%][0m
[2024-04-12T20:50:40.329Z] geopandas/io/tests/test_file.py::test_read_file_url[pyogrio-https://geonode.goosocean.org/download/480] [32mPASSED[0m[31m [ 12%][0m
[2024-04-12T20:50:40.579Z] geopandas/io/tests/test_file.py::test_read_file_url[pyogrio-https://demo.pygeoapi.io/stable/collections/obs/items] [32mPASSED[0m[31m [ 12%][0m
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[2024-04-12T20:50:44.483Z] geopandas/io/tests/test_file.py::test_read_file__ignore_all_fields[pyogrio] [33mSKIPPED[0m[31m [ 14%][0m
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[2024-04-12T20:51:00.141Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_points_from_xy [32mPASSED[0m[31m [ 30%][0m
[2024-04-12T20:51:00.141Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_original [32mPASSED[0m[31m  [ 31%][0m
[2024-04-12T20:51:00.141Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_ops [32mPASSED[0m[31m       [ 31%][0m
[2024-04-12T20:51:00.141Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_binary_ops [32mPASSED[0m[31m [ 31%][0m
[2024-04-12T20:51:00.141Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_other [32mPASSED[0m[31m     [ 31%][0m
[2024-04-12T20:51:00.141Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_affinity_methods[affine_transform-arg0] [32mPASSED[0m[31m [ 31%][0m
[2024-04-12T20:51:00.141Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_affinity_methods[translate-arg1] [32mPASSED[0m[31m [ 31%][0m
[2024-04-12T20:51:00.141Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_affinity_methods[rotate-arg2] [32mPASSED[0m[31m [ 31%][0m
[2024-04-12T20:51:00.141Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_affinity_methods[scale-arg3] [32mPASSED[0m[31m [ 31%][0m
[2024-04-12T20:51:00.141Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_affinity_methods[skew-arg4] [32mPASSED[0m[31m [ 31%][0m
[2024-04-12T20:51:00.391Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_slice [32mPASSED[0m[31m     [ 31%][0m
[2024-04-12T20:51:00.391Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_concat [32mPASSED[0m[31m    [ 31%][0m
[2024-04-12T20:51:00.391Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_merge [32mPASSED[0m[31m     [ 31%][0m
[2024-04-12T20:51:00.391Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_setitem_geometry [32mPASSED[0m[31m [ 31%][0m
[2024-04-12T20:51:00.391Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_astype [32mPASSED[0m[31m    [ 31%][0m
[2024-04-12T20:51:00.391Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_apply [32mPASSED[0m[31m     [ 31%][0m
[2024-04-12T20:51:00.391Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_apply_geodataframe [32mPASSED[0m[31m [ 31%][0m
[2024-04-12T20:51:00.391Z] geopandas/tests/test_crs.py::TestSetCRS::test_set_crs[geoseries] [32mPASSED[0m[31m  [ 31%][0m
[2024-04-12T20:51:00.391Z] geopandas/tests/test_crs.py::TestSetCRS::test_set_crs[geodataframe] [32mPASSED[0m[31m [ 31%][0m
[2024-04-12T20:51:00.391Z] geopandas/tests/test_datasets.py::test_read_paths[naturalearth_lowres] [32mPASSED[0m[31m [ 31%][0m
[2024-04-12T20:51:00.641Z] geopandas/tests/test_datasets.py::test_read_paths[naturalearth_cities] [32mPASSED[0m[31m [ 31%][0m
[2024-04-12T20:51:00.641Z] geopandas/tests/test_datasets.py::test_read_paths[nybb] [32mPASSED[0m[31m           [ 31%][0m
[2024-04-12T20:51:00.641Z] geopandas/tests/test_decorator.py::test_docstring_formatting [32mPASSED[0m[31m      [ 31%][0m
[2024-04-12T20:51:00.641Z] geopandas/tests/test_decorator.py::test_docstring_appending [32mPASSED[0m[31m       [ 31%][0m
[2024-04-12T20:51:00.641Z] geopandas/tests/test_decorator.py::test_doc_template_from_func [32mPASSED[0m[31m    [ 32%][0m
[2024-04-12T20:51:00.641Z] geopandas/tests/test_decorator.py::test_inherit_doc_template [32mPASSED[0m[31m      [ 32%][0m
[2024-04-12T20:51:01.192Z] geopandas/tests/test_dissolve.py::test_geom_dissolve [32mPASSED[0m[31m              [ 32%][0m
[2024-04-12T20:51:01.742Z] geopandas/tests/test_dissolve.py::test_dissolve_retains_existing_crs [32mPASSED[0m[31m [ 32%][0m
[2024-04-12T20:51:01.993Z] geopandas/tests/test_dissolve.py::test_dissolve_retains_nonexisting_crs [32mPASSED[0m[31m [ 32%][0m
[2024-04-12T20:51:02.903Z] geopandas/tests/test_dissolve.py::test_first_dissolve [32mPASSED[0m[31m             [ 32%][0m
[2024-04-12T20:51:03.814Z] geopandas/tests/test_dissolve.py::test_mean_dissolve [32mPASSED[0m[31m              [ 32%][0m
[2024-04-12T20:51:04.364Z] geopandas/tests/test_dissolve.py::test_mean_dissolve_warning_capture [32mPASSED[0m[31m [ 32%][0m
[2024-04-12T20:51:04.915Z] geopandas/tests/test_dissolve.py::test_dissolve_emits_other_warnings [32mPASSED[0m[31m [ 32%][0m
[2024-04-12T20:51:05.465Z] geopandas/tests/test_dissolve.py::test_multicolumn_dissolve [32mPASSED[0m[31m       [ 32%][0m
[2024-04-12T20:51:06.015Z] geopandas/tests/test_dissolve.py::test_reset_index [32mPASSED[0m[31m                [ 32%][0m
[2024-04-12T20:51:06.926Z] geopandas/tests/test_dissolve.py::test_dissolve_none [32mPASSED[0m[31m              [ 32%][0m
[2024-04-12T20:51:07.476Z] geopandas/tests/test_dissolve.py::test_dissolve_none_mean [32mPASSED[0m[31m         [ 32%][0m
[2024-04-12T20:51:07.476Z] geopandas/tests/test_dissolve.py::test_dissolve_level [32mPASSED[0m[31m             [ 32%][0m
[2024-04-12T20:51:07.476Z] geopandas/tests/test_dissolve.py::test_dissolve_sort [32mPASSED[0m[31m              [ 32%][0m
[2024-04-12T20:51:07.727Z] geopandas/tests/test_dissolve.py::test_dissolve_categorical [32mPASSED[0m[31m       [ 32%][0m
[2024-04-12T20:51:07.727Z] geopandas/tests/test_dissolve.py::test_dissolve_dropna [32mPASSED[0m[31m            [ 32%][0m
[2024-04-12T20:51:07.977Z] geopandas/tests/test_dissolve.py::test_dissolve_dropna_warn [32mPASSED[0m[31m       [ 32%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_dissolve.py::test_dissolve_multi_agg [32mPASSED[0m[31m         [ 32%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_name <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 32%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_kind <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 32%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_construct_from_string_own_name <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 32%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_is_dtype_from_name <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_is_dtype_unboxes_dtype <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_is_dtype_from_self <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_is_dtype_other_input <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_is_not_string_type <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_is_not_object_type <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_eq_with_str <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_eq_with_numpy_object <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_eq_with_self <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_array_type <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_check_dtype <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_hashable <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_str <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_eq <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_construct_from_string <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_construct_from_string_another_type_raises <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_construct_from_string_wrong_type_raises <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_get_common_dtype <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_infer_dtype[True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_infer_dtype[False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/dtype.py [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_array_type_with_arg [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestDtype::test_registry [32mPASSED[0m[31m [ 33%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestInterface::test_len <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/interface.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestInterface::test_size <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/interface.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestInterface::test_ndim <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/interface.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestInterface::test_can_hold_na_valid <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/interface.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestInterface::test_memory_usage <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/interface.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestInterface::test_is_extension_array_dtype <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/interface.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestInterface::test_no_values_attribute <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/interface.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestInterface::test_is_numeric_honored <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/interface.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestInterface::test_isna_extension_array <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/interface.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestInterface::test_copy <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/interface.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestInterface::test_view <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/interface.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestInterface::test_tolist <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/interface.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestInterface::test_array_interface [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestInterface::test_contains [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestConstructors::test_from_sequence_from_cls <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/constructors.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestConstructors::test_array_from_scalars <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/constructors.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestConstructors::test_series_constructor <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/constructors.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestConstructors::test_series_constructor_no_data_with_index <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/constructors.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestConstructors::test_series_constructor_scalar_na_with_index <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/constructors.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestConstructors::test_series_constructor_scalar_with_index <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/constructors.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestConstructors::test_dataframe_constructor_from_dict[True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/constructors.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestConstructors::test_dataframe_constructor_from_dict[False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/constructors.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestConstructors::test_dataframe_from_series <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/constructors.py [32mPASSED[0m[31m [ 34%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestConstructors::test_series_given_mismatched_index_raises <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/constructors.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestConstructors::test_from_dtype <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/constructors.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestConstructors::test_pandas_array <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/constructors.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestConstructors::test_pandas_array_dtype <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/constructors.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestConstructors::test_construct_empty_dataframe <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/constructors.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestConstructors::test_empty <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/constructors.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestReshaping::test_concat[True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestReshaping::test_concat[False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestReshaping::test_concat_all_na_block[True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestReshaping::test_concat_all_na_block[False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestReshaping::test_concat_mixed_dtypes <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestReshaping::test_concat_columns <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestReshaping::test_concat_extension_arrays_copy_false <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestReshaping::test_concat_with_reindex <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestReshaping::test_align <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.320Z] geopandas/tests/test_extension_array.py::TestReshaping::test_align_frame <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.321Z] geopandas/tests/test_extension_array.py::TestReshaping::test_align_series_frame <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.321Z] geopandas/tests/test_extension_array.py::TestReshaping::test_set_frame_expand_regular_with_extension <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.321Z] geopandas/tests/test_extension_array.py::TestReshaping::test_set_frame_expand_extension_with_regular <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.321Z] geopandas/tests/test_extension_array.py::TestReshaping::test_set_frame_overwrite_object <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.321Z] geopandas/tests/test_extension_array.py::TestReshaping::test_merge <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.321Z] geopandas/tests/test_extension_array.py::TestReshaping::test_merge_on_extension_array <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 35%][0m
[2024-04-12T20:51:09.321Z] geopandas/tests/test_extension_array.py::TestReshaping::test_merge_on_extension_array_duplicates <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.321Z] geopandas/tests/test_extension_array.py::TestReshaping::test_stack[columns0] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.321Z] geopandas/tests/test_extension_array.py::TestReshaping::test_stack[columns1] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.321Z] geopandas/tests/test_extension_array.py::TestReshaping::test_unstack[series-index0] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.321Z] geopandas/tests/test_extension_array.py::TestReshaping::test_unstack[series-index1] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.571Z] geopandas/tests/test_extension_array.py::TestReshaping::test_unstack[series-index2] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.571Z] geopandas/tests/test_extension_array.py::TestReshaping::test_unstack[series-index3] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.571Z] geopandas/tests/test_extension_array.py::TestReshaping::test_unstack[frame-index0] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.571Z] geopandas/tests/test_extension_array.py::TestReshaping::test_unstack[frame-index1] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.571Z] geopandas/tests/test_extension_array.py::TestReshaping::test_unstack[frame-index2] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestReshaping::test_unstack[frame-index3] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestReshaping::test_ravel <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestReshaping::test_transpose <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestReshaping::test_transpose_frame <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reshaping.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestGetitem::test_iloc_series <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestGetitem::test_iloc_frame <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestGetitem::test_iloc_frame_single_block <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestGetitem::test_loc_series <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestGetitem::test_loc_frame <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestGetitem::test_loc_iloc_frame_single_dtype <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_scalar <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_invalid <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_scalar_na <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 36%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_empty <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_mask <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_mask_raises <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_boolean_array_mask <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_boolean_na_treated_as_false <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_integer_array[list] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_integer_array[integer-array] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:09.821Z] geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_integer_array[numpy-array] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:09.822Z] geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_integer_with_missing_raises[list] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:09.822Z] geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_integer_with_missing_raises[integer-array] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:10.072Z] geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_series_integer_with_missing_raises[list] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [33mXFAIL[0m[31m [ 37%][0m
[2024-04-12T20:51:10.322Z] geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_series_integer_with_missing_raises[integer-array] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [33mXFAIL[0m[31m [ 37%][0m
[2024-04-12T20:51:10.322Z] geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_slice <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:10.322Z] geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_ellipsis_and_slice <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:10.322Z] geopandas/tests/test_extension_array.py::TestGetitem::test_get <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:10.322Z] geopandas/tests/test_extension_array.py::TestGetitem::test_take_sequence <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:10.322Z] geopandas/tests/test_extension_array.py::TestGetitem::test_take <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:10.322Z] geopandas/tests/test_extension_array.py::TestGetitem::test_take_empty <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:10.322Z] geopandas/tests/test_extension_array.py::TestGetitem::test_take_negative <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:10.322Z] geopandas/tests/test_extension_array.py::TestGetitem::test_take_non_na_fill_value <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:10.322Z] geopandas/tests/test_extension_array.py::TestGetitem::test_take_pandas_style_negative_raises <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:10.572Z] geopandas/tests/test_extension_array.py::TestGetitem::test_take_out_of_bounds_raises[True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 37%][0m
[2024-04-12T20:51:10.572Z] geopandas/tests/test_extension_array.py::TestGetitem::test_take_out_of_bounds_raises[False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.572Z] geopandas/tests/test_extension_array.py::TestGetitem::test_take_series <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.572Z] geopandas/tests/test_extension_array.py::TestGetitem::test_reindex <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.572Z] geopandas/tests/test_extension_array.py::TestGetitem::test_reindex_non_na_fill_value <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestGetitem::test_loc_len1 <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestGetitem::test_item <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestGetitem::test_ellipsis_index <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/getitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_scalar_series[True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_scalar_series[False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_sequence[True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_sequence[False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_sequence_mismatched_length_raises[True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_sequence_mismatched_length_raises[False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_empty_indexer[True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_empty_indexer[False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_sequence_broadcasts[True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_sequence_broadcasts[False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_scalar[loc] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_scalar[iloc] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_loc_scalar_mixed <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_loc_scalar_single <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_loc_scalar_multiple_homogoneous <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 38%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_iloc_scalar_mixed <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_iloc_scalar_single <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_iloc_scalar_multiple_homogoneous <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_mask[True-numpy-array] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_mask[True-boolean-array] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_mask[True-boolean-array-na] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_mask[False-numpy-array] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_mask[False-boolean-array] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_mask[False-boolean-array-na] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_mask_raises[True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_mask_raises[False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_mask_boolean_array_with_na[True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_mask_boolean_array_with_na[False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_integer_array[True-list] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_integer_array[True-integer-array] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_integer_array[True-numpy-array] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_integer_array[False-list] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_integer_array[False-integer-array] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_integer_array[False-numpy-array] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:10.573Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_integer_with_missing_raises[list-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:11.123Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_integer_with_missing_raises[list-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [33mXFAIL[0m[31m [ 39%][0m
[2024-04-12T20:51:11.123Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_integer_with_missing_raises[integer-array-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:11.123Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_integer_with_missing_raises[integer-array-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 39%][0m
[2024-04-12T20:51:11.123Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_mask_aligned[loc-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.123Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_mask_aligned[loc-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_mask_aligned[None-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_mask_aligned[None-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_mask_broadcast[loc] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_mask_broadcast[None] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_expand_columns <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_expand_with_extension <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_frame_invalid_length <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_tuple_index <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_slice[True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_slice[False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_loc_iloc_slice <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_slice_mismatch_length_raises <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_slice_array <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_scalar_key_sequence_raise <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_preserves_views <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_with_expansion_dataframe_column[index] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_with_expansion_dataframe_column[list[index]] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_with_expansion_dataframe_column[null_slice] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_with_expansion_dataframe_column[full_slice] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_with_expansion_dataframe_column[range] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 40%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_with_expansion_dataframe_column[list(range)] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_with_expansion_dataframe_column[mask] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_with_expansion_row <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_series[index] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_series[list[index]] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_series[null_slice] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_series[full_slice] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_series[range] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_series[list(range)] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_series[mask] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_frame_2d_values <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_delitem_series <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_invalid <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/setitem.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestMissing::test_isna <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/missing.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestMissing::test_isna_returns_copy[isna] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/missing.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestMissing::test_isna_returns_copy[notna] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/missing.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestMissing::test_dropna_array <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/missing.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestMissing::test_dropna_series <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/missing.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestMissing::test_dropna_frame <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/missing.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestMissing::test_fillna_frame <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/missing.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestMissing::test_fillna_fill_other <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/missing.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestMissing::test_use_inf_as_na_no_effect <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/missing.py [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestMissing::test_fillna_series [32mPASSED[0m[31m [ 41%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestMissing::test_fillna_limit_pad [33mSKIPPED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestMissing::test_fillna_limit_backfill [33mSKIPPED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestMissing::test_fillna_series_method [33mSKIPPED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestMissing::test_fillna_no_op_returns_copy [33mSKIPPED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestMissing::test_ffill_limit_area [33mSKIPPED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[sum-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[sum-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[max-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[max-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.124Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[min-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.374Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[min-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.374Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[mean-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.374Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[mean-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.374Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[prod-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.374Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[prod-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.374Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[std-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.374Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[std-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[var-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[var-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[median-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[median-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[kurt-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 42%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[kurt-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[skew-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_numeric[skew-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/reduce.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestReduce::test_reduce_series_boolean [33mSKIPPED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_scalar[__add__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_scalar[__radd__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_scalar[__mul__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_scalar[__rmul__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_scalar[__floordiv__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_scalar[__rfloordiv__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_scalar[__truediv__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_scalar[__rtruediv__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_scalar[__pow__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_scalar[__rpow__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_scalar[__mod__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_scalar[__rmod__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_frame_with_scalar[__add__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_frame_with_scalar[__radd__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_frame_with_scalar[__mul__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_frame_with_scalar[__rmul__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_frame_with_scalar[__floordiv__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_frame_with_scalar[__rfloordiv__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_frame_with_scalar[__truediv__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 43%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_frame_with_scalar[__rtruediv__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_frame_with_scalar[__pow__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_frame_with_scalar[__rpow__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_frame_with_scalar[__mod__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_frame_with_scalar[__rmod__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_array[__add__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_array[__radd__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_array[__mul__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_array[__rmul__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_array[__floordiv__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_array[__rfloordiv__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_array[__truediv__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_array[__rtruediv__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_array[__pow__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_array[__rpow__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_array[__mod__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_arith_series_with_array[__rmod__] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_divmod <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_direct_arith_with_ndframe_returns_not_implemented[Series] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [33mXFAIL[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_direct_arith_with_ndframe_returns_not_implemented[DataFrame] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [33mXFAIL[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_divmod_series_array [33mSKIPPED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestArithmeticOps::test_add_series_with_extension_array [33mSKIPPED[0m[31m [ 44%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestComparisonOps::test_direct_arith_with_ndframe_returns_not_implemented[Series] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestComparisonOps::test_direct_arith_with_ndframe_returns_not_implemented[DataFrame] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/ops.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestComparisonOps::test_compare_scalar[__eq__] [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestComparisonOps::test_compare_scalar[__ne__] [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestComparisonOps::test_compare_array[__eq__] [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestComparisonOps::test_compare_array[__ne__] [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestMethods::test_value_counts_default_dropna <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestMethods::test_count <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestMethods::test_series_count <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestMethods::test_apply_simple_series <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestMethods::test_argsort <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestMethods::test_argsort_missing_array <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestMethods::test_argsort_missing <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestMethods::test_nargsort[last-expected0] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestMethods::test_nargsort[first-expected1] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestMethods::test_sort_values[None-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestMethods::test_sort_values[None-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestMethods::test_sort_values[<lambda>-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestMethods::test_sort_values[<lambda>-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestMethods::test_sort_values_missing[None-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.375Z] geopandas/tests/test_extension_array.py::TestMethods::test_sort_values_missing[None-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_sort_values_missing[<lambda>-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 45%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_sort_values_missing[<lambda>-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_unique[<lambda>-Series] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_unique[<lambda>-<lambda>] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_unique[unique-Series] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_unique[unique-<lambda>] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_factorize[-1] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_factorize[-2] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_factorize_equivalence[-1] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_factorize_equivalence[-2] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_factorize_empty <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_fillna_copy_frame <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_fillna_copy_series <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_combine_first <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_container_shift[-2-indices0-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_container_shift[-2-indices0-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_container_shift[0-indices1-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_container_shift[0-indices1-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_container_shift[2-indices2-True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_container_shift[2-indices2-False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_shift_0_periods <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_diff[1] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [33mSKIPPED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_diff[-2] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [33mSKIPPED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_shift_non_empty_array[-4-indices0] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 46%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_shift_non_empty_array[-1-indices1] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_shift_non_empty_array[0-indices2] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_shift_non_empty_array[1-indices3] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_shift_non_empty_array[4-indices4] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_shift_empty_array[-4] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_shift_empty_array[-1] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_shift_empty_array[0] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_shift_empty_array[1] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_shift_empty_array[4] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_shift_zero_copies <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_shift_fill_value <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_not_hashable <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_hash_pandas_object_works[True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_hash_pandas_object_works[False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_where_series[True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_where_series[False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat[True-True-0] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat[True-True-1] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat[True-True-2] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat[True-True-repeats3] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat[True-False-0] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat[True-False-1] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 47%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat[True-False-2] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat[True-False-repeats3] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat[False-True-0] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat[False-True-1] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat[False-True-2] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat[False-True-repeats3] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat[False-False-0] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat[False-False-1] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat[False-False-2] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat[False-False-repeats3] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat_raises[True-2-kwargs0-ValueError-axis] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat_raises[True--1-kwargs1-ValueError-negative] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat_raises[True-repeats2-kwargs2-ValueError-shape] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat_raises[True-2-kwargs3-TypeError-'foo'] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.626Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat_raises[False-2-kwargs0-ValueError-axis] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.627Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat_raises[False--1-kwargs1-ValueError-negative] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.627Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat_raises[False-repeats2-kwargs2-ValueError-shape] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.627Z] geopandas/tests/test_extension_array.py::TestMethods::test_repeat_raises[False-2-kwargs3-TypeError-'foo'] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.627Z] geopandas/tests/test_extension_array.py::TestMethods::test_delete <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.627Z] geopandas/tests/test_extension_array.py::TestMethods::test_insert <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.627Z] geopandas/tests/test_extension_array.py::TestMethods::test_insert_invalid <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.627Z] geopandas/tests/test_extension_array.py::TestMethods::test_insert_invalid_loc <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_equals[True-array] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 48%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_equals[True-Series] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_equals[True-DataFrame] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_equals[False-array] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_equals[False-Series] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_equals[False-DataFrame] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/methods.py [32mPASSED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_value_counts[data-True] [32mPASSED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_value_counts[data-False] [32mPASSED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_value_counts[data_missing-True] [32mPASSED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_value_counts[data_missing-False] [32mPASSED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_value_counts_with_normalize [32mPASSED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_sort_values_frame[True] [32mPASSED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_sort_values_frame[False] [32mPASSED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_searchsorted[True] [33mSKIPPED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_searchsorted[False] [33mSKIPPED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_combine_le [33mSKIPPED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_combine_add [33mSKIPPED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_fillna_length_mismatch [33mSKIPPED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_argmin_argmax [33mSKIPPED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_argmin_argmax_empty_array [33mSKIPPED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_argmin_argmax_all_na [33mSKIPPED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_argreduce_series [33mSKIPPED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestMethods::test_argmax_argmin_no_skipna_notimplemented [33mSKIPPED[0m[31m [ 49%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestCasting::test_astype_object_series[data] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/casting.py [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestCasting::test_astype_object_series[data_missing] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/casting.py [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestCasting::test_astype_object_frame[data] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/casting.py [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestCasting::test_astype_object_frame[data_missing] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/casting.py [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestCasting::test_tolist <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/casting.py [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestCasting::test_astype_str <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/casting.py [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestCasting::test_astype_string[string[python]] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/casting.py [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestCasting::test_astype_string[string[pyarrow]] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/casting.py [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestCasting::test_to_numpy <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/casting.py [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestCasting::test_astype_empty_dataframe <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/casting.py [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestCasting::test_astype_own_type[True] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/casting.py [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestCasting::test_astype_own_type[False] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/casting.py [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestGroupby::test_grouping_grouper <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/groupby.py [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestGroupby::test_groupby_agg_extension <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/groupby.py [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestGroupby::test_groupby_extension_no_sort <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/groupby.py [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestGroupby::test_groupby_apply_identity <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/groupby.py [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestGroupby::test_in_numeric_groupby <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/groupby.py [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestGroupby::test_groupby_extension_agg[True] [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestGroupby::test_groupby_extension_agg[False] [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestGroupby::test_groupby_extension_transform [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestGroupby::test_groupby_extension_apply[scalar] [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestGroupby::test_groupby_extension_apply[list] [32mPASSED[0m[31m [ 50%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestGroupby::test_groupby_extension_apply[series] [32mPASSED[0m[31m [ 51%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestGroupby::test_groupby_extension_apply[object] [32mPASSED[0m[31m [ 51%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestPrinting::test_array_repr[big] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/printing.py [32mPASSED[0m[31m [ 51%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestPrinting::test_array_repr[small] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/printing.py [32mPASSED[0m[31m [ 51%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestPrinting::test_array_repr_unicode <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/printing.py [32mPASSED[0m[31m [ 51%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestPrinting::test_series_repr <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/printing.py [32mPASSED[0m[31m [ 51%][0m
[2024-04-12T20:51:11.877Z] geopandas/tests/test_extension_array.py::TestPrinting::test_dataframe_repr <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/printing.py [32mPASSED[0m[31m [ 51%][0m
[2024-04-12T20:51:12.128Z] geopandas/tests/test_extension_array.py::TestPrinting::test_dtype_name_in_info <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/printing.py [32mPASSED[0m[31m [ 51%][0m
[2024-04-12T20:51:12.128Z] geopandas/tests/test_extension_array.py::TestParsing::test_EA_types[c] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/io.py [33mSKIPPED[0m[31m [ 51%][0m
[2024-04-12T20:51:12.128Z] geopandas/tests/test_extension_array.py::TestParsing::test_EA_types[python] <- ../../../../usr/lib/python3.11/site-packages/pandas/tests/extension/base/io.py [33mSKIPPED[0m[31m [ 51%][0m
[2024-04-12T20:51:12.128Z] geopandas/tests/test_geocode.py::test_prepare_result [32mPASSED[0m[31m              [ 51%][0m
[2024-04-12T20:51:12.128Z] geopandas/tests/test_geocode.py::test_prepare_result_none [32mPASSED[0m[31m         [ 51%][0m
[2024-04-12T20:51:12.128Z] geopandas/tests/test_geocode.py::test_prepare_geocode_result_when_result_is[None] [32mPASSED[0m[31m [ 51%][0m
[2024-04-12T20:51:12.128Z] geopandas/tests/test_geocode.py::test_prepare_geocode_result_when_result_is[geocode_result1] [32mPASSED[0m[31m [ 51%][0m
[2024-04-12T20:51:12.128Z] geopandas/tests/test_geocode.py::test_bad_provider_forward [32mPASSED[0m[31m        [ 51%][0m
[2024-04-12T20:51:12.128Z] geopandas/tests/test_geocode.py::test_bad_provider_reverse [32mPASSED[0m[31m        [ 51%][0m
[2024-04-12T20:51:12.128Z] geopandas/tests/test_geocode.py::test_forward [32mPASSED[0m[31m                     [ 51%][0m
[2024-04-12T20:51:12.128Z] geopandas/tests/test_geocode.py::test_reverse [32mPASSED[0m[31m                     [ 51%][0m
[2024-04-12T20:51:12.378Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_df_init [32mPASSED[0m[31m [ 51%][0m
[2024-04-12T20:51:12.628Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_different_geo_colname [32mPASSED[0m[31m [ 51%][0m
[2024-04-12T20:51:12.879Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_geo_getitem [32mPASSED[0m[31m [ 51%][0m
[2024-04-12T20:51:12.879Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_getitem_no_geometry [32mPASSED[0m[31m [ 51%][0m
[2024-04-12T20:51:13.129Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_geo_setitem [32mPASSED[0m[31m [ 51%][0m
[2024-04-12T20:51:13.679Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_geometry_property [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:13.929Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_geometry_property_errors [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:13.929Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_rename_geometry [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:14.840Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_set_geometry [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:15.390Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_set_geometry_col [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:15.390Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_set_geometry_inplace [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:15.641Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_set_geometry_series [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:15.891Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_set_geometry_empty [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:15.891Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_set_geometry_np_int [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:16.141Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_get_geometry_invalid [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:16.141Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_get_geometry_geometry_inactive [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:16.391Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_align [32mPASSED[0m[31m   [ 52%][0m
[2024-04-12T20:51:16.942Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_to_json [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:17.492Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_to_json_wgs84_false [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:17.492Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_to_json_no_crs [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:18.042Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_to_json_geom_col [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:18.593Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_to_json_only_geom_column [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:19.143Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_to_json_na [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:19.143Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_to_json_bad_na [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:19.694Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_to_json_dropna [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:20.244Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_to_json_keepna [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:20.494Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_to_json_drop_id [32mPASSED[0m[31m [ 52%][0m
[2024-04-12T20:51:21.045Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_to_json_drop_id_only_geom_column [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:21.295Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_to_json_with_duplicate_columns [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:21.545Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_copy [32mPASSED[0m[31m    [ 53%][0m
[2024-04-12T20:51:21.545Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_empty_copy [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:21.795Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_no_geom_copy [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:21.795Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_bool_index [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:22.046Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_coord_slice_points [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:22.296Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_from_dict [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:22.546Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_from_features [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:22.796Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_from_features_unaligned_properties [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:22.796Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_from_features_empty_properties [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:23.047Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_from_features_geom_interface_feature [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:23.047Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_from_feature_collection [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:23.957Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_dataframe_to_geodataframe [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:23.957Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_dataframe_not_manipulated [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:24.207Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_geodataframe_geointerface [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:24.458Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_geodataframe_iterfeatures [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:24.458Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_geodataframe_iterfeatures_non_scalars [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:24.708Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_geodataframe_geojson_no_bbox [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:24.958Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_geodataframe_geojson_bbox [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:25.509Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_pickle [32mPASSED[0m[31m  [ 53%][0m
[2024-04-12T20:51:25.759Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_pickle_method [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:26.009Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_estimate_utm_crs [32mPASSED[0m[31m [ 53%][0m
[2024-04-12T20:51:26.259Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_to_wkb [32mPASSED[0m[31m  [ 54%][0m
[2024-04-12T20:51:26.259Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_to_wkt [32mPASSED[0m[31m  [ 54%][0m
[2024-04-12T20:51:26.810Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin[intersects-left] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:27.060Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin[intersects-inner] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:27.310Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin[intersects-right] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:27.561Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin[within-left] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:27.811Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin[within-inner] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:28.361Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin[within-right] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:28.612Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin[contains-left] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:28.862Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin[contains-inner] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:29.112Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin[contains-right] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:29.362Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin_nearest[None-None-left] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:29.913Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin_nearest[None-None-inner] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:30.163Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin_nearest[None-None-right] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:30.413Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin_nearest[None-1-left] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:30.663Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin_nearest[None-1-inner] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:31.214Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin_nearest[None-1-right] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:31.464Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin_nearest[distance-None-left] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:31.714Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin_nearest[distance-None-inner] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:32.265Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin_nearest[distance-None-right] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:32.515Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin_nearest[distance-1-left] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:32.765Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin_nearest[distance-1-inner] [32mPASSED[0m[31m [ 54%][0m
[2024-04-12T20:51:33.316Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_sjoin_nearest[distance-1-right] [32mPASSED[0m[31m [ 55%][0m
[2024-04-12T20:51:33.316Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_clip [32mPASSED[0m[31m    [ 55%][0m
[2024-04-12T20:51:33.866Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_overlay[union] [32mPASSED[0m[31m [ 55%][0m
[2024-04-12T20:51:33.866Z] geopandas/tests/test_geodataframe.py::TestDataFrame::test_overlay[intersection] [32mPASSED[0m[31m [ 55%][0m
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[2024-04-12T20:51:34.617Z] geopandas/tests/test_geodataframe.py::TestConstructor::test_dict [32mPASSED[0m[31m  [ 55%][0m
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[2024-04-12T20:51:34.617Z] geopandas/tests/test_geodataframe.py::TestConstructor::test_dict_specified_geometry [32mPASSED[0m[31m [ 55%][0m
[2024-04-12T20:51:34.617Z] geopandas/tests/test_geodataframe.py::TestConstructor::test_array [32mPASSED[0m[31m [ 55%][0m
[2024-04-12T20:51:34.617Z] geopandas/tests/test_geodataframe.py::TestConstructor::test_from_frame [32mPASSED[0m[31m [ 55%][0m
[2024-04-12T20:51:34.617Z] geopandas/tests/test_geodataframe.py::TestConstructor::test_from_frame_specified_geometry [32mPASSED[0m[31m [ 55%][0m
[2024-04-12T20:51:34.617Z] geopandas/tests/test_geodataframe.py::TestConstructor::test_only_geometry [32mPASSED[0m[31m [ 55%][0m
[2024-04-12T20:51:34.617Z] geopandas/tests/test_geodataframe.py::TestConstructor::test_no_geometries [32mPASSED[0m[31m [ 55%][0m
[2024-04-12T20:51:34.617Z] geopandas/tests/test_geodataframe.py::TestConstructor::test_empty [32mPASSED[0m[31m [ 55%][0m
[2024-04-12T20:51:34.617Z] geopandas/tests/test_geodataframe.py::TestConstructor::test_column_ordering [32mPASSED[0m[31m [ 55%][0m
[2024-04-12T20:51:34.867Z] geopandas/tests/test_geodataframe.py::TestConstructor::test_preserve_series_name [33mXFAIL[0m[31m [ 55%][0m
[2024-04-12T20:51:34.867Z] geopandas/tests/test_geodataframe.py::TestConstructor::test_overwrite_geometry [32mPASSED[0m[31m [ 55%][0m
[2024-04-12T20:51:34.867Z] geopandas/tests/test_geodataframe.py::TestConstructor::test_repeat_geo_col [32mPASSED[0m[31m [ 55%][0m
[2024-04-12T20:51:34.867Z] geopandas/tests/test_geodataframe.py::TestConstructor::test_multiindex_with_geometry_label[geometry] [32mPASSED[0m[31m [ 55%][0m
[2024-04-12T20:51:34.867Z] geopandas/tests/test_geodataframe.py::TestConstructor::test_multiindex_with_geometry_label[object] [32mPASSED[0m[31m [ 55%][0m
[2024-04-12T20:51:34.867Z] geopandas/tests/test_geodataframe.py::TestConstructor::test_default_geo_colname_none [32mPASSED[0m[31m [ 56%][0m
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[2024-04-12T20:52:05.920Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[png-line] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 78%][0m
[2024-04-12T20:52:06.170Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[png-bar] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 78%][0m
[2024-04-12T20:52:06.421Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[png-barh] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 78%][0m
[2024-04-12T20:52:06.671Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[png-kde] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 78%][0m
[2024-04-12T20:52:06.921Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[png-density] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 78%][0m
[2024-04-12T20:52:07.171Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[png-area] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 78%][0m
[2024-04-12T20:52:07.722Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[png-hist] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 78%][0m
[2024-04-12T20:52:08.272Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[png-box] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 78%][0m
[2024-04-12T20:52:08.272Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[png-pie] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 78%][0m
[2024-04-12T20:52:08.522Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[png-scatter] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 78%][0m
[2024-04-12T20:52:09.073Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[png-hexbin] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 78%][0m
[2024-04-12T20:52:09.323Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[pdf-line] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 78%][0m
[2024-04-12T20:52:09.874Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[pdf-bar] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 79%][0m
[2024-04-12T20:52:10.124Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[pdf-barh] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 79%][0m
[2024-04-12T20:52:10.675Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[pdf-kde] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 79%][0m
[2024-04-12T20:52:10.675Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[pdf-density] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 79%][0m
[2024-04-12T20:52:11.225Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[pdf-area] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 79%][0m
[2024-04-12T20:52:11.475Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[pdf-hist] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 79%][0m
[2024-04-12T20:52:11.726Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[pdf-box] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 79%][0m
[2024-04-12T20:52:11.976Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[pdf-pie] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 79%][0m
[2024-04-12T20:52:12.527Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[pdf-scatter] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 79%][0m
[2024-04-12T20:52:13.077Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_pandas_kind[pdf-hexbin] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 79%][0m
[2024-04-12T20:52:13.077Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_geo_kind[png] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 79%][0m
[2024-04-12T20:52:13.328Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_geo_kind[pdf] <- ../../../../usr/lib/python3.11/site-packages/matplotlib/testing/decorators.py [32mPASSED[0m[31m [ 79%][0m
[2024-04-12T20:52:13.328Z] geopandas/tests/test_plotting.py::TestGeoplotAccessor::test_invalid_kind [32mPASSED[0m[31m [ 79%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_plotting.py::test_column_values [32mPASSED[0m[31m              [ 79%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_plotting.py::test_polygon_patch [32mPASSED[0m[31m              [ 79%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_show_versions.py::test_get_sys_info [32mPASSED[0m[31m          [ 79%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_show_versions.py::test_get_c_info [32mPASSED[0m[31m            [ 79%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_show_versions.py::test_get_deps_info [32mPASSED[0m[31m         [ 79%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_show_versions.py::test_show_versions [32mPASSED[0m[31m         [ 79%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestSeriesSindex::test_has_sindex [32mPASSED[0m[31m [ 79%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestSeriesSindex::test_empty_geoseries [32mPASSED[0m[31m [ 79%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestSeriesSindex::test_point [32mPASSED[0m[31m      [ 79%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestSeriesSindex::test_empty_point [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestSeriesSindex::test_polygons [32mPASSED[0m[31m   [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestSeriesSindex::test_polygons_append [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestSeriesSindex::test_lazy_build [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestSeriesSindex::test_rebuild_on_item_change [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestSeriesSindex::test_rebuild_on_slice [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestFrameSindex::test_sindex [32mPASSED[0m[31m      [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestFrameSindex::test_lazy_build [32mPASSED[0m[31m  [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestFrameSindex::test_sindex_rebuild_on_set_geometry [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestFrameSindex::test_rebuild_on_row_slice [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestFrameSindex::test_rebuild_on_single_col_selection [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestFrameSindex::test_rebuild_on_multiple_col_selection [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestFrameSindex::test_rebuild_on_update_inplace [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestFrameSindex::test_update_inplace_no_rebuild [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestJoinSindex::test_merge_geo [33mSKIPPED[0m[31m   [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_intersection_bounds_tuple[test_geom0-expected0] [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_intersection_bounds_tuple[test_geom1-expected1] [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_intersection_bounds_tuple[test_geom2-expected2] [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_intersection_bounds_tuple[test_geom3-expected3] [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_intersection_invalid_bounds_tuple[test_geom0] [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_intersection_invalid_bounds_tuple[-0.5] [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_intersection_invalid_bounds_tuple[None] [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_intersection_invalid_bounds_tuple[test_geom3] [32mPASSED[0m[31m [ 80%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[None-test_geom0-expected0] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[None-test_geom1-expected1] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[None-test_geom2-expected2] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[None-test_geom3-expected3] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[intersects-test_geom4-expected4] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[intersects-test_geom5-expected5] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[intersects-test_geom6-expected6] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[intersects-test_geom7-expected7] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[within-test_geom8-expected8] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[within-test_geom9-expected9] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[within-test_geom10-expected10] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[within-test_geom11-expected11] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[contains-test_geom12-expected12] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[contains-test_geom13-expected13] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.578Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[contains-test_geom14-expected14] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[contains-test_geom15-expected15] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[contains-test_geom16-expected16] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[touches-test_geom17-expected17] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[touches-test_geom18-expected18] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[contains-test_geom19-expected19] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[covers-test_geom20-expected20] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[covers-test_geom21-expected21] [32mPASSED[0m[31m [ 81%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[covers-test_geom22-expected22] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[contains_properly-test_geom23-expected23] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[contains_properly-test_geom24-expected24] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[contains_properly-test_geom25-expected25] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[contains_properly-test_geom26-expected26] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[contains_properly-test_geom27-expected27] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query[contains_properly-test_geom28-expected28] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_invalid_geometry [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_empty_geometry[None-expected_value0] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_empty_geometry[test_geom1-expected_value1] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_empty_geometry[test_geom2-expected_value2] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_empty_geometry[test_geom3-expected_value3] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_empty_geometry[test_geom4-expected_value4] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_invalid_predicate [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_sorting[True-expected0] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_sorting[False-expected1] [33mXFAIL[0mdas/geopandas/issues/1337
[2024-04-12T20:52:13.829Z] Expected:
[2024-04-12T20:52:13.829Z]  [0, 1, 2]
[2024-04-12T20:52:13.829Z] Got:
[2024-04-12T20:52:13.829Z]  [1, 0, 2]
[2024-04-12T20:52:13.829Z] )[31m                                                                        [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[None-test_geom0-expected0] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[None-test_geom1-expected1] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[None-test_geom2-expected2] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[intersects-test_geom3-expected3] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[intersects-test_geom4-expected4] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[intersects-test_geom5-expected5] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[intersects-test_geom6-expected6] [32mPASSED[0m[31m [ 82%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[intersects-test_geom7-expected7] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[within-test_geom8-expected8] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[within-test_geom9-expected9] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[within-test_geom10-expected10] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[contains-test_geom11-expected11] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[contains-test_geom12-expected12] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[contains-test_geom13-expected13] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[contains-test_geom14-expected14] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[contains-test_geom15-expected15] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[contains-test_geom16-expected16] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[touches-test_geom17-expected17] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[touches-test_geom18-expected18] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[covers-test_geom19-expected19] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[covers-test_geom20-expected20] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[covers-test_geom21-expected21] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[contains_properly-test_geom22-expected22] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[contains_properly-test_geom23-expected23] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[contains_properly-test_geom24-expected24] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[contains_properly-test_geom25-expected25] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[contains_properly-test_geom26-expected26] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk[contains_properly-test_geom27-expected27] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk_empty_geometry[test_geoms0-expected_value0] [32mPASSED[0m[31m [ 83%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk_empty_geometry[test_geoms1-expected_value1] [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk_empty_geometry[test_geoms2-expected_value2] [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk_empty_geometry[test_geoms3-expected_value3] [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk_empty_input_array [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk_invalid_input_geometry [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk_invalid_predicate [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk_input_type[None-test_geom0-expected0] [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk_input_type[intersects-test_geom1-expected1] [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk_input_type[contains-test_geom2-expected2] [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk_sorting[True-expected0] [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_query_bulk_sorting[False-expected1] [33mXFAIL[0mdas/geopandas/issues/1337
[2024-04-12T20:52:13.829Z] Expected:
[2024-04-12T20:52:13.829Z]  [[0,
[2024-04-12T20:52:13.829Z] 0, 0], [0, 1, 2]]
[2024-04-12T20:52:13.829Z] Got:
[2024-04-12T20:52:13.829Z]  [[0, 0, 0], [1, 0, 2]]
[2024-04-12T20:52:13.829Z] )[31m                                                                        [ 84%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_rtree_nearest_warns [33mSKIPPED[0m[31m [ 84%][0m
[2024-04-12T20:52:13.829Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_pygeos_error [33mSKIPPED[0m[31m [ 84%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_single[geometry0-expected0-True] [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_single[geometry0-expected0-False] [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_single[geometry1-expected1-True] [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_single[geometry1-expected1-False] [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_multi[geometry0-expected0-True] [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_multi[geometry0-expected0-False] [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_multi[geometry1-expected1-True] [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_multi[geometry1-expected1-False] [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_none[None-expected0-True] [32mPASSED[0m[31m [ 84%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_none[None-expected0-False] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_none[geometry1-expected1-True] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_none[geometry1-expected1-False] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_max_distance[True-None-expected0-True] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_max_distance[True-None-expected0-False] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_max_distance[False-None-expected1-True] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_max_distance[False-None-expected1-False] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_max_distance[True-1-expected2-True] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_max_distance[True-1-expected2-False] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_max_distance[False-1-expected3-True] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_max_distance[False-1-expected3-False] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_exclusive[False-None-False-expected0-True] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_exclusive[False-None-False-expected0-False] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_exclusive[False-None-True-expected1-True] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_exclusive[False-None-True-expected1-False] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_exclusive[True-None-False-expected2-True] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_exclusive[True-None-False-expected2-False] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_exclusive[True-None-True-expected3-True] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_exclusive[True-None-True-expected3-False] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_exclusive[False-1.1-True-expected4-True] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_exclusive[False-1.1-True-expected4-False] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_exclusive[True-1.1-True-expected5-True] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_exclusive[True-1.1-True-expected5-False] [32mPASSED[0m[31m [ 85%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_nearest_exclusive_unavailable [33mSKIPPED[0m[31m [ 86%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_empty_tree_geometries [32mPASSED[0m[31m [ 86%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_size [32mPASSED[0m[31m    [ 86%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_len [32mPASSED[0m[31m     [ 86%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_is_empty [32mPASSED[0m[31m [ 86%][0m
[2024-04-12T20:52:14.080Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_integration_natural_earth[None-expected_shape0] [32mPASSED[0m[31m [ 86%][0m
[2024-04-12T20:52:14.330Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_integration_natural_earth[intersects-expected_shape1] [32mPASSED[0m[31m [ 86%][0m
[2024-04-12T20:52:14.330Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_integration_natural_earth[within-expected_shape2] [32mPASSED[0m[31m [ 86%][0m
[2024-04-12T20:52:14.330Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_integration_natural_earth[contains-expected_shape3] [32mPASSED[0m[31m [ 86%][0m
[2024-04-12T20:52:14.581Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_integration_natural_earth[overlaps-expected_shape4] [32mPASSED[0m[31m [ 86%][0m
[2024-04-12T20:52:14.581Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_integration_natural_earth[crosses-expected_shape5] [32mPASSED[0m[31m [ 86%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_sindex.py::TestPygeosInterface::test_integration_natural_earth[touches-expected_shape6] [32mPASSED[0m[31m [ 86%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_sindex.py::test_old_spatial_index_deprecated [32mPASSED[0m[31m [ 86%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_testing.py::test_geoseries [32mPASSED[0m[31m                   [ 86%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_testing.py::test_geodataframe [32mPASSED[0m[31m                [ 86%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_testing.py::test_equal_nans [32mPASSED[0m[31m                  [ 86%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_testing.py::test_no_crs [32mPASSED[0m[31m                      [ 86%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_testing.py::test_ignore_crs_mismatch [32mPASSED[0m[31m         [ 86%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_testing.py::test_almost_equal_but_not_equal [32mPASSED[0m[31m  [ 86%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_testing.py::test_geodataframe_no_active_geometry_column [32mPASSED[0m[31m [ 86%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_testing.py::test_geodataframe_multiindex [32mPASSED[0m[31m     [ 86%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_types.py::TestSeries::test_slice [32mPASSED[0m[31m             [ 86%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_types.py::TestSeries::test_head [32mPASSED[0m[31m              [ 87%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_types.py::TestSeries::test_tail [32mPASSED[0m[31m              [ 87%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_types.py::TestSeries::test_sort_index [32mPASSED[0m[31m        [ 87%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_types.py::TestSeries::test_loc [32mPASSED[0m[31m               [ 87%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_types.py::TestSeries::test_iloc [32mPASSED[0m[31m              [ 87%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_types.py::TestSeries::test_fancy [32mPASSED[0m[31m             [ 87%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_types.py::TestSeries::test_take [32mPASSED[0m[31m              [ 87%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_types.py::TestSeries::test_groupby [32mPASSED[0m[31m           [ 87%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_types.py::TestDataFrame::test_geometry [32mPASSED[0m[31m       [ 87%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_types.py::TestDataFrame::test_nongeometry [32mPASSED[0m[31m    [ 87%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_types.py::TestDataFrame::test_geometry_multiple [32mPASSED[0m[31m [ 87%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_types.py::TestDataFrame::test_nongeometry_multiple [32mPASSED[0m[31m [ 87%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_types.py::TestDataFrame::test_slice [32mPASSED[0m[31m          [ 87%][0m
[2024-04-12T20:52:14.831Z] geopandas/tests/test_types.py::TestDataFrame::test_fancy [32mPASSED[0m[31m          [ 87%][0m
[2024-04-12T20:52:14.831Z] geopandas/tools/tests/test_clip.py::test_not_gdf [32mPASSED[0m[31m                  [ 87%][0m
[2024-04-12T20:52:14.831Z] geopandas/tools/tests/test_clip.py::test_non_overlapping_geoms [32mPASSED[0m[31m    [ 87%][0m
[2024-04-12T20:52:15.081Z] geopandas/tools/tests/test_clip.py::TestClipWithSingleRectangleGdf::test_returns_gdf[single_rectangle_gdf] [32mPASSED[0m[31m [ 87%][0m
[2024-04-12T20:52:15.081Z] geopandas/tools/tests/test_clip.py::TestClipWithSingleRectangleGdf::test_returns_gdf[single_rectangle_gdf_list_bounds] [32mPASSED[0m[31m [ 87%][0m
[2024-04-12T20:52:15.081Z] geopandas/tools/tests/test_clip.py::TestClipWithSingleRectangleGdf::test_returns_gdf[single_rectangle_gdf_tuple_bounds] [32mPASSED[0m[31m [ 87%][0m
[2024-04-12T20:52:15.081Z] geopandas/tools/tests/test_clip.py::TestClipWithSingleRectangleGdf::test_returns_gdf[single_rectangle_gdf_array_bounds] [32mPASSED[0m[31m [ 87%][0m
[2024-04-12T20:52:15.081Z] geopandas/tools/tests/test_clip.py::TestClipWithSingleRectangleGdf::test_returns_series[single_rectangle_gdf] [32mPASSED[0m[31m [ 87%][0m
[2024-04-12T20:52:15.081Z] geopandas/tools/tests/test_clip.py::TestClipWithSingleRectangleGdf::test_returns_series[single_rectangle_gdf_list_bounds] [32mPASSED[0m[31m [ 87%][0m
[2024-04-12T20:52:15.081Z] geopandas/tools/tests/test_clip.py::TestClipWithSingleRectangleGdf::test_returns_series[single_rectangle_gdf_tuple_bounds] [32mPASSED[0m[31m [ 87%][0m
[2024-04-12T20:52:15.081Z] geopandas/tools/tests/test_clip.py::TestClipWithSingleRectangleGdf::test_returns_series[single_rectangle_gdf_array_bounds] [32mPASSED[0m[31m [ 88%][0m
[2024-04-12T20:52:15.081Z] geopandas/tools/tests/test_clip.py::TestClipWithSingleRectangleGdf::test_clip_points[single_rectangle_gdf] [32mPASSED[0m[31m [ 88%][0m
[2024-04-12T20:52:15.081Z] geopandas/tools/tests/test_clip.py::TestClipWithSingleRectangleGdf::test_clip_points[single_rectangle_gdf_list_bounds] [32mPASSED[0m[31m [ 88%][0m
[2024-04-12T20:52:15.081Z] geopandas/tools/tests/test_clip.py::TestClipWithSingleRectangleGdf::test_clip_points[single_rectangle_gdf_tuple_bounds] [32mPASSED[0m[31m [ 88%][0m
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[2024-04-12T20:52:16.083Z] geopandas/tools/tests/test_clip.py::TestClipWithSingleRectangleGdf::test_clip_box_overlap[single_rectangle_gdf_tuple_bounds] [32mPASSED[0m[31m [ 90%][0m
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[2024-04-12T20:52:16.333Z] geopandas/tools/tests/test_clip.py::TestClipWithSingleRectangleGdf::test_warning_extra_geoms_mixed[single_rectangle_gdf] [32mPASSED[0m[31m [ 90%][0m
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[2024-04-12T20:52:16.333Z] geopandas/tools/tests/test_clip.py::TestClipWithSingleRectangleGdf::test_warning_extra_geoms_mixed[single_rectangle_gdf_tuple_bounds] [32mPASSED[0m[31m [ 90%][0m
[2024-04-12T20:52:16.333Z] geopandas/tools/tests/test_clip.py::TestClipWithSingleRectangleGdf::test_warning_extra_geoms_mixed[single_rectangle_gdf_array_bounds] [32mPASSED[0m[31m [ 90%][0m
[2024-04-12T20:52:16.333Z] geopandas/tools/tests/test_clip.py::TestClipWithSingleRectangleGdf::test_warning_geomcoll[single_rectangle_gdf] [32mPASSED[0m[31m [ 90%][0m
[2024-04-12T20:52:16.333Z] geopandas/tools/tests/test_clip.py::TestClipWithSingleRectangleGdf::test_warning_geomcoll[single_rectangle_gdf_list_bounds] [32mPASSED[0m[31m [ 90%][0m
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[2024-04-12T20:52:26.835Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_empty_left_df[None-left] [32mPASSED[0m[31m [ 97%][0m
[2024-04-12T20:52:27.086Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_empty_left_df[distance-inner] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.086Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_empty_left_df[distance-left] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.086Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_empty_left_df_how_right[None] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.086Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_empty_left_df_how_right[distance] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.086Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_empty_join_due_to_max_distance[inner] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.086Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_empty_join_due_to_max_distance[left] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.086Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_empty_join_due_to_max_distance_how_right [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.086Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_max_distance[inner] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.086Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_max_distance[left] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.086Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_max_distance_how_right [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.086Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_left[geo_left0-geo_right0-expected_left0-expected_right0-distances0-inner] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.336Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_left[geo_left0-geo_right0-expected_left0-expected_right0-distances0-left] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.336Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_left[geo_left1-geo_right1-expected_left1-expected_right1-distances1-inner] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.336Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_left[geo_left1-geo_right1-expected_left1-expected_right1-distances1-left] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.336Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_left[geo_left2-geo_right2-expected_left2-expected_right2-distances2-inner] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.336Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_left[geo_left2-geo_right2-expected_left2-expected_right2-distances2-left] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.336Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_left[geo_left3-geo_right3-expected_left3-expected_right3-distances3-inner] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.336Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_left[geo_left3-geo_right3-expected_left3-expected_right3-distances3-left] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.586Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_left[geo_left4-geo_right4-expected_left4-expected_right4-distances4-inner] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.586Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_left[geo_left4-geo_right4-expected_left4-expected_right4-distances4-left] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.586Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_left[geo_left5-geo_right5-expected_left5-expected_right5-distances5-inner] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.586Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_left[geo_left5-geo_right5-expected_left5-expected_right5-distances5-left] [32mPASSED[0m[31m [ 98%][0m
[2024-04-12T20:52:27.586Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_left[geo_left6-geo_right6-expected_left6-expected_right6-distances6-inner] [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:27.586Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_left[geo_left6-geo_right6-expected_left6-expected_right6-distances6-left] [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:27.586Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_left[geo_left7-geo_right7-expected_left7-expected_right7-distances7-inner] [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:27.837Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_left[geo_left7-geo_right7-expected_left7-expected_right7-distances7-left] [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:27.837Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_right[geo_left0-geo_right0-expected_left0-expected_right0-distances0] [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:27.837Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_right[geo_left1-geo_right1-expected_left1-expected_right1-distances1] [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:27.837Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_right[geo_left2-geo_right2-expected_left2-expected_right2-distances2] [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:27.837Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_right[geo_left3-geo_right3-expected_left3-expected_right3-distances3] [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:27.837Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_right[geo_left4-geo_right4-expected_left4-expected_right4-distances4] [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:27.837Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_right[geo_left5-geo_right5-expected_left5-expected_right5-distances5] [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:28.087Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_right[geo_left6-geo_right6-expected_left6-expected_right6-distances6] [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:28.087Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_right[geo_left7-geo_right7-expected_left7-expected_right7-distances7] [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:28.337Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_inner [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:28.337Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_exclusive[None-expected0] [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:28.337Z] geopandas/tools/tests/test_sjoin.py::TestNearest::test_sjoin_nearest_exclusive[1.1-expected1] [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:28.337Z] geopandas/tools/tests/test_tools.py::TestTools::test_collect_single [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:28.337Z] geopandas/tools/tests/test_tools.py::TestTools::test_collect_single_force_multi [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:28.337Z] geopandas/tools/tests/test_tools.py::TestTools::test_collect_multi [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:28.337Z] geopandas/tools/tests/test_tools.py::TestTools::test_collect_multi_force_multi [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:28.337Z] geopandas/tools/tests/test_tools.py::TestTools::test_collect_list [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:28.337Z] geopandas/tools/tests/test_tools.py::TestTools::test_collect_GeoSeries [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:28.337Z] geopandas/tools/tests/test_tools.py::TestTools::test_collect_mixed_types [32mPASSED[0m[31m [ 99%][0m
[2024-04-12T20:52:28.337Z] geopandas/tools/tests/test_tools.py::TestTools::test_collect_mixed_multi [32mPASSED[0m[31m [100%][0m
[2024-04-12T20:52:28.337Z] 
[2024-04-12T20:52:28.337Z] =================================== FAILURES ===================================
[2024-04-12T20:52:28.337Z] [31m[1m________________________ test_pandas_parquet_roundtrip1 ________________________[0m
[2024-04-12T20:52:28.337Z] 
[2024-04-12T20:52:28.337Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_pandas_parquet_roundtrip10')
[2024-04-12T20:52:28.337Z] 
[2024-04-12T20:52:28.337Z]     def test_pandas_parquet_roundtrip1(tmpdir):
[2024-04-12T20:52:28.337Z]         df = DataFrame({"a": [1, 2, 3], "b": ["a", "b", "c"]})
[2024-04-12T20:52:28.337Z]     
[2024-04-12T20:52:28.337Z]         filename = os.path.join(str(tmpdir), "test.pq")
[2024-04-12T20:52:28.337Z] >       df.to_parquet(filename)
[2024-04-12T20:52:28.337Z] 
[2024-04-12T20:52:28.337Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:287: 
[2024-04-12T20:52:28.337Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.337Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/util/_decorators.py[0m:211: in wrapper
[2024-04-12T20:52:28.337Z]     return func(*args, **kwargs)
[2024-04-12T20:52:28.337Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/core/frame.py[0m:2976: in to_parquet
[2024-04-12T20:52:28.337Z]     return to_parquet(
[2024-04-12T20:52:28.337Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/io/parquet.py[0m:426: in to_parquet
[2024-04-12T20:52:28.337Z]     impl = get_engine(engine)
[2024-04-12T20:52:28.337Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.337Z] 
[2024-04-12T20:52:28.337Z] engine = 'auto'
[2024-04-12T20:52:28.337Z] 
[2024-04-12T20:52:28.337Z]     def get_engine(engine: str) -> BaseImpl:
[2024-04-12T20:52:28.337Z]         """return our implementation"""
[2024-04-12T20:52:28.337Z]         if engine == "auto":
[2024-04-12T20:52:28.337Z]             engine = get_option("io.parquet.engine")
[2024-04-12T20:52:28.337Z]     
[2024-04-12T20:52:28.337Z]         if engine == "auto":
[2024-04-12T20:52:28.337Z]             # try engines in this order
[2024-04-12T20:52:28.337Z]             engine_classes = [PyArrowImpl, FastParquetImpl]
[2024-04-12T20:52:28.337Z]     
[2024-04-12T20:52:28.337Z]             error_msgs = ""
[2024-04-12T20:52:28.337Z]             for engine_class in engine_classes:
[2024-04-12T20:52:28.337Z]                 try:
[2024-04-12T20:52:28.337Z]                     return engine_class()
[2024-04-12T20:52:28.337Z]                 except ImportError as err:
[2024-04-12T20:52:28.337Z]                     error_msgs += "\n - " + str(err)
[2024-04-12T20:52:28.337Z]     
[2024-04-12T20:52:28.337Z] >           raise ImportError(
[2024-04-12T20:52:28.337Z]                 "Unable to find a usable engine; "
[2024-04-12T20:52:28.337Z]                 "tried using: 'pyarrow', 'fastparquet'.\n"
[2024-04-12T20:52:28.337Z]                 "A suitable version of "
[2024-04-12T20:52:28.337Z]                 "pyarrow or fastparquet is required for parquet "
[2024-04-12T20:52:28.337Z]                 "support.\n"
[2024-04-12T20:52:28.338Z]                 "Trying to import the above resulted in these errors:"
[2024-04-12T20:52:28.338Z]                 f"{error_msgs}"
[2024-04-12T20:52:28.338Z]             )
[2024-04-12T20:52:28.338Z] [1m[31mE           ImportError: Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'.[0m
[2024-04-12T20:52:28.338Z] [1m[31mE           A suitable version of pyarrow or fastparquet is required for parquet support.[0m
[2024-04-12T20:52:28.338Z] [1m[31mE           Trying to import the above resulted in these errors:[0m
[2024-04-12T20:52:28.338Z] [1m[31mE            - The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.338Z] [1m[31mE            - Missing optional dependency 'fastparquet'. fastparquet is required for parquet support. Use pip or conda to install fastparquet.[0m
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/io/parquet.py[0m:52: ImportError
[2024-04-12T20:52:28.338Z] [31m[1m_____________ test_pandas_parquet_roundtrip2[naturalearth_lowres] ______________[0m
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z] test_dataset = 'naturalearth_lowres'
[2024-04-12T20:52:28.338Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_pandas_parquet_roundtrip20')
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.338Z]         "test_dataset", ["naturalearth_lowres", "naturalearth_cities", "nybb"]
[2024-04-12T20:52:28.338Z]     )
[2024-04-12T20:52:28.338Z]     def test_pandas_parquet_roundtrip2(test_dataset, tmpdir):
[2024-04-12T20:52:28.338Z]         test_dataset = "naturalearth_lowres"
[2024-04-12T20:52:28.338Z]         df = DataFrame(read_file(get_path(test_dataset)).drop(columns=["geometry"]))
[2024-04-12T20:52:28.338Z]     
[2024-04-12T20:52:28.338Z]         filename = os.path.join(str(tmpdir), "test.pq")
[2024-04-12T20:52:28.338Z] >       df.to_parquet(filename)
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:302: 
[2024-04-12T20:52:28.338Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.338Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/util/_decorators.py[0m:211: in wrapper
[2024-04-12T20:52:28.338Z]     return func(*args, **kwargs)
[2024-04-12T20:52:28.338Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/core/frame.py[0m:2976: in to_parquet
[2024-04-12T20:52:28.338Z]     return to_parquet(
[2024-04-12T20:52:28.338Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/io/parquet.py[0m:426: in to_parquet
[2024-04-12T20:52:28.338Z]     impl = get_engine(engine)
[2024-04-12T20:52:28.338Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z] engine = 'auto'
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z]     def get_engine(engine: str) -> BaseImpl:
[2024-04-12T20:52:28.338Z]         """return our implementation"""
[2024-04-12T20:52:28.338Z]         if engine == "auto":
[2024-04-12T20:52:28.338Z]             engine = get_option("io.parquet.engine")
[2024-04-12T20:52:28.338Z]     
[2024-04-12T20:52:28.338Z]         if engine == "auto":
[2024-04-12T20:52:28.338Z]             # try engines in this order
[2024-04-12T20:52:28.338Z]             engine_classes = [PyArrowImpl, FastParquetImpl]
[2024-04-12T20:52:28.338Z]     
[2024-04-12T20:52:28.338Z]             error_msgs = ""
[2024-04-12T20:52:28.338Z]             for engine_class in engine_classes:
[2024-04-12T20:52:28.338Z]                 try:
[2024-04-12T20:52:28.338Z]                     return engine_class()
[2024-04-12T20:52:28.338Z]                 except ImportError as err:
[2024-04-12T20:52:28.338Z]                     error_msgs += "\n - " + str(err)
[2024-04-12T20:52:28.338Z]     
[2024-04-12T20:52:28.338Z] >           raise ImportError(
[2024-04-12T20:52:28.338Z]                 "Unable to find a usable engine; "
[2024-04-12T20:52:28.338Z]                 "tried using: 'pyarrow', 'fastparquet'.\n"
[2024-04-12T20:52:28.338Z]                 "A suitable version of "
[2024-04-12T20:52:28.338Z]                 "pyarrow or fastparquet is required for parquet "
[2024-04-12T20:52:28.338Z]                 "support.\n"
[2024-04-12T20:52:28.338Z]                 "Trying to import the above resulted in these errors:"
[2024-04-12T20:52:28.338Z]                 f"{error_msgs}"
[2024-04-12T20:52:28.338Z]             )
[2024-04-12T20:52:28.338Z] [1m[31mE           ImportError: Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'.[0m
[2024-04-12T20:52:28.338Z] [1m[31mE           A suitable version of pyarrow or fastparquet is required for parquet support.[0m
[2024-04-12T20:52:28.338Z] [1m[31mE           Trying to import the above resulted in these errors:[0m
[2024-04-12T20:52:28.338Z] [1m[31mE            - The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.338Z] [1m[31mE            - Missing optional dependency 'fastparquet'. fastparquet is required for parquet support. Use pip or conda to install fastparquet.[0m
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/io/parquet.py[0m:52: ImportError
[2024-04-12T20:52:28.338Z] [31m[1m_____________ test_pandas_parquet_roundtrip2[naturalearth_cities] ______________[0m
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z] test_dataset = 'naturalearth_lowres'
[2024-04-12T20:52:28.338Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_pandas_parquet_roundtrip21')
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.338Z]         "test_dataset", ["naturalearth_lowres", "naturalearth_cities", "nybb"]
[2024-04-12T20:52:28.338Z]     )
[2024-04-12T20:52:28.338Z]     def test_pandas_parquet_roundtrip2(test_dataset, tmpdir):
[2024-04-12T20:52:28.338Z]         test_dataset = "naturalearth_lowres"
[2024-04-12T20:52:28.338Z]         df = DataFrame(read_file(get_path(test_dataset)).drop(columns=["geometry"]))
[2024-04-12T20:52:28.338Z]     
[2024-04-12T20:52:28.338Z]         filename = os.path.join(str(tmpdir), "test.pq")
[2024-04-12T20:52:28.338Z] >       df.to_parquet(filename)
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:302: 
[2024-04-12T20:52:28.338Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.338Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/util/_decorators.py[0m:211: in wrapper
[2024-04-12T20:52:28.338Z]     return func(*args, **kwargs)
[2024-04-12T20:52:28.338Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/core/frame.py[0m:2976: in to_parquet
[2024-04-12T20:52:28.338Z]     return to_parquet(
[2024-04-12T20:52:28.338Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/io/parquet.py[0m:426: in to_parquet
[2024-04-12T20:52:28.338Z]     impl = get_engine(engine)
[2024-04-12T20:52:28.338Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z] engine = 'auto'
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z]     def get_engine(engine: str) -> BaseImpl:
[2024-04-12T20:52:28.338Z]         """return our implementation"""
[2024-04-12T20:52:28.338Z]         if engine == "auto":
[2024-04-12T20:52:28.338Z]             engine = get_option("io.parquet.engine")
[2024-04-12T20:52:28.338Z]     
[2024-04-12T20:52:28.338Z]         if engine == "auto":
[2024-04-12T20:52:28.338Z]             # try engines in this order
[2024-04-12T20:52:28.338Z]             engine_classes = [PyArrowImpl, FastParquetImpl]
[2024-04-12T20:52:28.338Z]     
[2024-04-12T20:52:28.338Z]             error_msgs = ""
[2024-04-12T20:52:28.338Z]             for engine_class in engine_classes:
[2024-04-12T20:52:28.338Z]                 try:
[2024-04-12T20:52:28.338Z]                     return engine_class()
[2024-04-12T20:52:28.338Z]                 except ImportError as err:
[2024-04-12T20:52:28.338Z]                     error_msgs += "\n - " + str(err)
[2024-04-12T20:52:28.338Z]     
[2024-04-12T20:52:28.338Z] >           raise ImportError(
[2024-04-12T20:52:28.338Z]                 "Unable to find a usable engine; "
[2024-04-12T20:52:28.338Z]                 "tried using: 'pyarrow', 'fastparquet'.\n"
[2024-04-12T20:52:28.338Z]                 "A suitable version of "
[2024-04-12T20:52:28.338Z]                 "pyarrow or fastparquet is required for parquet "
[2024-04-12T20:52:28.338Z]                 "support.\n"
[2024-04-12T20:52:28.338Z]                 "Trying to import the above resulted in these errors:"
[2024-04-12T20:52:28.338Z]                 f"{error_msgs}"
[2024-04-12T20:52:28.338Z]             )
[2024-04-12T20:52:28.338Z] [1m[31mE           ImportError: Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'.[0m
[2024-04-12T20:52:28.338Z] [1m[31mE           A suitable version of pyarrow or fastparquet is required for parquet support.[0m
[2024-04-12T20:52:28.338Z] [1m[31mE           Trying to import the above resulted in these errors:[0m
[2024-04-12T20:52:28.338Z] [1m[31mE            - The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.338Z] [1m[31mE            - Missing optional dependency 'fastparquet'. fastparquet is required for parquet support. Use pip or conda to install fastparquet.[0m
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/io/parquet.py[0m:52: ImportError
[2024-04-12T20:52:28.338Z] [31m[1m_____________________ test_pandas_parquet_roundtrip2[nybb] _____________________[0m
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z] test_dataset = 'naturalearth_lowres'
[2024-04-12T20:52:28.338Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_pandas_parquet_roundtrip22')
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.338Z]         "test_dataset", ["naturalearth_lowres", "naturalearth_cities", "nybb"]
[2024-04-12T20:52:28.338Z]     )
[2024-04-12T20:52:28.338Z]     def test_pandas_parquet_roundtrip2(test_dataset, tmpdir):
[2024-04-12T20:52:28.338Z]         test_dataset = "naturalearth_lowres"
[2024-04-12T20:52:28.338Z]         df = DataFrame(read_file(get_path(test_dataset)).drop(columns=["geometry"]))
[2024-04-12T20:52:28.338Z]     
[2024-04-12T20:52:28.338Z]         filename = os.path.join(str(tmpdir), "test.pq")
[2024-04-12T20:52:28.338Z] >       df.to_parquet(filename)
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:302: 
[2024-04-12T20:52:28.338Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.338Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/util/_decorators.py[0m:211: in wrapper
[2024-04-12T20:52:28.338Z]     return func(*args, **kwargs)
[2024-04-12T20:52:28.338Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/core/frame.py[0m:2976: in to_parquet
[2024-04-12T20:52:28.338Z]     return to_parquet(
[2024-04-12T20:52:28.338Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/io/parquet.py[0m:426: in to_parquet
[2024-04-12T20:52:28.338Z]     impl = get_engine(engine)
[2024-04-12T20:52:28.338Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z] engine = 'auto'
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z]     def get_engine(engine: str) -> BaseImpl:
[2024-04-12T20:52:28.338Z]         """return our implementation"""
[2024-04-12T20:52:28.338Z]         if engine == "auto":
[2024-04-12T20:52:28.338Z]             engine = get_option("io.parquet.engine")
[2024-04-12T20:52:28.338Z]     
[2024-04-12T20:52:28.338Z]         if engine == "auto":
[2024-04-12T20:52:28.338Z]             # try engines in this order
[2024-04-12T20:52:28.338Z]             engine_classes = [PyArrowImpl, FastParquetImpl]
[2024-04-12T20:52:28.338Z]     
[2024-04-12T20:52:28.338Z]             error_msgs = ""
[2024-04-12T20:52:28.338Z]             for engine_class in engine_classes:
[2024-04-12T20:52:28.338Z]                 try:
[2024-04-12T20:52:28.338Z]                     return engine_class()
[2024-04-12T20:52:28.338Z]                 except ImportError as err:
[2024-04-12T20:52:28.338Z]                     error_msgs += "\n - " + str(err)
[2024-04-12T20:52:28.338Z]     
[2024-04-12T20:52:28.338Z] >           raise ImportError(
[2024-04-12T20:52:28.338Z]                 "Unable to find a usable engine; "
[2024-04-12T20:52:28.338Z]                 "tried using: 'pyarrow', 'fastparquet'.\n"
[2024-04-12T20:52:28.338Z]                 "A suitable version of "
[2024-04-12T20:52:28.338Z]                 "pyarrow or fastparquet is required for parquet "
[2024-04-12T20:52:28.338Z]                 "support.\n"
[2024-04-12T20:52:28.338Z]                 "Trying to import the above resulted in these errors:"
[2024-04-12T20:52:28.338Z]                 f"{error_msgs}"
[2024-04-12T20:52:28.338Z]             )
[2024-04-12T20:52:28.338Z] [1m[31mE           ImportError: Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'.[0m
[2024-04-12T20:52:28.338Z] [1m[31mE           A suitable version of pyarrow or fastparquet is required for parquet support.[0m
[2024-04-12T20:52:28.338Z] [1m[31mE           Trying to import the above resulted in these errors:[0m
[2024-04-12T20:52:28.338Z] [1m[31mE            - The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.338Z] [1m[31mE            - Missing optional dependency 'fastparquet'. fastparquet is required for parquet support. Use pip or conda to install fastparquet.[0m
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/io/parquet.py[0m:52: ImportError
[2024-04-12T20:52:28.338Z] [31m[1m_________________ test_roundtrip[parquet-naturalearth_lowres] __________________[0m
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_roundtrip_parquet_natural0')
[2024-04-12T20:52:28.338Z] file_format = (<function _read_parquet at 0x7cb20b927100>, <function GeoDataFrame.to_parquet at 0x7cb20b924360>)
[2024-04-12T20:52:28.338Z] test_dataset = 'naturalearth_lowres'
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.338Z]         "test_dataset", ["naturalearth_lowres", "naturalearth_cities", "nybb"]
[2024-04-12T20:52:28.338Z]     )
[2024-04-12T20:52:28.338Z]     def test_roundtrip(tmpdir, file_format, test_dataset):
[2024-04-12T20:52:28.338Z]         """Writing to parquet should not raise errors, and should not alter original
[2024-04-12T20:52:28.338Z]         GeoDataFrame
[2024-04-12T20:52:28.338Z]         """
[2024-04-12T20:52:28.338Z]         reader, writer = file_format
[2024-04-12T20:52:28.338Z]     
[2024-04-12T20:52:28.338Z]         df = read_file(get_path(test_dataset))
[2024-04-12T20:52:28.338Z]         orig = df.copy()
[2024-04-12T20:52:28.338Z]     
[2024-04-12T20:52:28.338Z]         filename = os.path.join(str(tmpdir), "test.pq")
[2024-04-12T20:52:28.338Z]     
[2024-04-12T20:52:28.338Z] >       writer(df, filename)
[2024-04-12T20:52:28.338Z] 
[2024-04-12T20:52:28.338Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:323: 
[2024-04-12T20:52:28.339Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.339Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.339Z]     _to_parquet(
[2024-04-12T20:52:28.339Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.339Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.339Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.339Z]         """
[2024-04-12T20:52:28.339Z]         Import an optional dependency.
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         Parameters
[2024-04-12T20:52:28.339Z]         ----------
[2024-04-12T20:52:28.339Z]         name : str
[2024-04-12T20:52:28.339Z]             The module name.
[2024-04-12T20:52:28.339Z]         extra : str
[2024-04-12T20:52:28.339Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.339Z]         Returns
[2024-04-12T20:52:28.339Z]         -------
[2024-04-12T20:52:28.339Z]         module
[2024-04-12T20:52:28.339Z]         """
[2024-04-12T20:52:28.339Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.339Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.339Z]             name=name, extra=extra
[2024-04-12T20:52:28.339Z]         )
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.339Z]             raise ValueError(
[2024-04-12T20:52:28.339Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.339Z]             )
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         try:
[2024-04-12T20:52:28.339Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         except ImportError:
[2024-04-12T20:52:28.339Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.339Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.339Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.339Z] [31m[1m_________________ test_roundtrip[parquet-naturalearth_cities] __________________[0m
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_roundtrip_parquet_natural1')
[2024-04-12T20:52:28.339Z] file_format = (<function _read_parquet at 0x7cb20b927100>, <function GeoDataFrame.to_parquet at 0x7cb20b924360>)
[2024-04-12T20:52:28.339Z] test_dataset = 'naturalearth_cities'
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.339Z]         "test_dataset", ["naturalearth_lowres", "naturalearth_cities", "nybb"]
[2024-04-12T20:52:28.339Z]     )
[2024-04-12T20:52:28.339Z]     def test_roundtrip(tmpdir, file_format, test_dataset):
[2024-04-12T20:52:28.339Z]         """Writing to parquet should not raise errors, and should not alter original
[2024-04-12T20:52:28.339Z]         GeoDataFrame
[2024-04-12T20:52:28.339Z]         """
[2024-04-12T20:52:28.339Z]         reader, writer = file_format
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         df = read_file(get_path(test_dataset))
[2024-04-12T20:52:28.339Z]         orig = df.copy()
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         filename = os.path.join(str(tmpdir), "test.pq")
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z] >       writer(df, filename)
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:323: 
[2024-04-12T20:52:28.339Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.339Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.339Z]     _to_parquet(
[2024-04-12T20:52:28.339Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.339Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.339Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.339Z]         """
[2024-04-12T20:52:28.339Z]         Import an optional dependency.
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         Parameters
[2024-04-12T20:52:28.339Z]         ----------
[2024-04-12T20:52:28.339Z]         name : str
[2024-04-12T20:52:28.339Z]             The module name.
[2024-04-12T20:52:28.339Z]         extra : str
[2024-04-12T20:52:28.339Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.339Z]         Returns
[2024-04-12T20:52:28.339Z]         -------
[2024-04-12T20:52:28.339Z]         module
[2024-04-12T20:52:28.339Z]         """
[2024-04-12T20:52:28.339Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.339Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.339Z]             name=name, extra=extra
[2024-04-12T20:52:28.339Z]         )
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.339Z]             raise ValueError(
[2024-04-12T20:52:28.339Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.339Z]             )
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         try:
[2024-04-12T20:52:28.339Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         except ImportError:
[2024-04-12T20:52:28.339Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.339Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.339Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.339Z] [31m[1m_________________________ test_roundtrip[parquet-nybb] _________________________[0m
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_roundtrip_parquet_nybb_0')
[2024-04-12T20:52:28.339Z] file_format = (<function _read_parquet at 0x7cb20b927100>, <function GeoDataFrame.to_parquet at 0x7cb20b924360>)
[2024-04-12T20:52:28.339Z] test_dataset = 'nybb'
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.339Z]         "test_dataset", ["naturalearth_lowres", "naturalearth_cities", "nybb"]
[2024-04-12T20:52:28.339Z]     )
[2024-04-12T20:52:28.339Z]     def test_roundtrip(tmpdir, file_format, test_dataset):
[2024-04-12T20:52:28.339Z]         """Writing to parquet should not raise errors, and should not alter original
[2024-04-12T20:52:28.339Z]         GeoDataFrame
[2024-04-12T20:52:28.339Z]         """
[2024-04-12T20:52:28.339Z]         reader, writer = file_format
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         df = read_file(get_path(test_dataset))
[2024-04-12T20:52:28.339Z]         orig = df.copy()
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         filename = os.path.join(str(tmpdir), "test.pq")
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z] >       writer(df, filename)
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:323: 
[2024-04-12T20:52:28.339Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.339Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.339Z]     _to_parquet(
[2024-04-12T20:52:28.339Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.339Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.339Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.339Z]         """
[2024-04-12T20:52:28.339Z]         Import an optional dependency.
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         Parameters
[2024-04-12T20:52:28.339Z]         ----------
[2024-04-12T20:52:28.339Z]         name : str
[2024-04-12T20:52:28.339Z]             The module name.
[2024-04-12T20:52:28.339Z]         extra : str
[2024-04-12T20:52:28.339Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.339Z]         Returns
[2024-04-12T20:52:28.339Z]         -------
[2024-04-12T20:52:28.339Z]         module
[2024-04-12T20:52:28.339Z]         """
[2024-04-12T20:52:28.339Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.339Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.339Z]             name=name, extra=extra
[2024-04-12T20:52:28.339Z]         )
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.339Z]             raise ValueError(
[2024-04-12T20:52:28.339Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.339Z]             )
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         try:
[2024-04-12T20:52:28.339Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         except ImportError:
[2024-04-12T20:52:28.339Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.339Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.339Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.339Z] [31m[1m_____________________________ test_index[parquet] ______________________________[0m
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_index_parquet_0')
[2024-04-12T20:52:28.339Z] file_format = (<function _read_parquet at 0x7cb20b927100>, <function GeoDataFrame.to_parquet at 0x7cb20b924360>)
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z]     def test_index(tmpdir, file_format):
[2024-04-12T20:52:28.339Z]         """Setting index=`True` should preserve index in output, and
[2024-04-12T20:52:28.339Z]         setting index=`False` should drop index from output.
[2024-04-12T20:52:28.339Z]         """
[2024-04-12T20:52:28.339Z]         reader, writer = file_format
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         test_dataset = "naturalearth_lowres"
[2024-04-12T20:52:28.339Z]         df = read_file(get_path(test_dataset)).set_index("iso_a3")
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         filename = os.path.join(str(tmpdir), "test_with_index.pq")
[2024-04-12T20:52:28.339Z] >       writer(df, filename, index=True)
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:347: 
[2024-04-12T20:52:28.339Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.339Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.339Z]     _to_parquet(
[2024-04-12T20:52:28.339Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.339Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.339Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.339Z] 
[2024-04-12T20:52:28.339Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.339Z]         """
[2024-04-12T20:52:28.339Z]         Import an optional dependency.
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         Parameters
[2024-04-12T20:52:28.339Z]         ----------
[2024-04-12T20:52:28.339Z]         name : str
[2024-04-12T20:52:28.339Z]             The module name.
[2024-04-12T20:52:28.339Z]         extra : str
[2024-04-12T20:52:28.339Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.339Z]         Returns
[2024-04-12T20:52:28.339Z]         -------
[2024-04-12T20:52:28.339Z]         module
[2024-04-12T20:52:28.339Z]         """
[2024-04-12T20:52:28.339Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.339Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.339Z]             name=name, extra=extra
[2024-04-12T20:52:28.339Z]         )
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.339Z]             raise ValueError(
[2024-04-12T20:52:28.339Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.339Z]             )
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.339Z]         try:
[2024-04-12T20:52:28.339Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.339Z]     
[2024-04-12T20:52:28.340Z]         except ImportError:
[2024-04-12T20:52:28.340Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.340Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.340Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.340Z] [31m[1m_______________________ test_parquet_compression[snappy] _______________________[0m
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z] compression = 'snappy'
[2024-04-12T20:52:28.340Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_parquet_compression_snapp0')
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z]     @pytest.mark.parametrize("compression", ["snappy", "gzip", "brotli", None])
[2024-04-12T20:52:28.340Z]     def test_parquet_compression(compression, tmpdir):
[2024-04-12T20:52:28.340Z]         """Using compression options should not raise errors, and should
[2024-04-12T20:52:28.340Z]         return identical GeoDataFrame.
[2024-04-12T20:52:28.340Z]         """
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         test_dataset = "naturalearth_lowres"
[2024-04-12T20:52:28.340Z]         df = read_file(get_path(test_dataset))
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         filename = os.path.join(str(tmpdir), "test.pq")
[2024-04-12T20:52:28.340Z] >       df.to_parquet(filename, compression=compression)
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:367: 
[2024-04-12T20:52:28.340Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.340Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.340Z]     _to_parquet(
[2024-04-12T20:52:28.340Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.340Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.340Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.340Z]         """
[2024-04-12T20:52:28.340Z]         Import an optional dependency.
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         Parameters
[2024-04-12T20:52:28.340Z]         ----------
[2024-04-12T20:52:28.340Z]         name : str
[2024-04-12T20:52:28.340Z]             The module name.
[2024-04-12T20:52:28.340Z]         extra : str
[2024-04-12T20:52:28.340Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.340Z]         Returns
[2024-04-12T20:52:28.340Z]         -------
[2024-04-12T20:52:28.340Z]         module
[2024-04-12T20:52:28.340Z]         """
[2024-04-12T20:52:28.340Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.340Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.340Z]             name=name, extra=extra
[2024-04-12T20:52:28.340Z]         )
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.340Z]             raise ValueError(
[2024-04-12T20:52:28.340Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.340Z]             )
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         try:
[2024-04-12T20:52:28.340Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         except ImportError:
[2024-04-12T20:52:28.340Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.340Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.340Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.340Z] [31m[1m________________________ test_parquet_compression[gzip] ________________________[0m
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z] compression = 'gzip'
[2024-04-12T20:52:28.340Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_parquet_compression_gzip_0')
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z]     @pytest.mark.parametrize("compression", ["snappy", "gzip", "brotli", None])
[2024-04-12T20:52:28.340Z]     def test_parquet_compression(compression, tmpdir):
[2024-04-12T20:52:28.340Z]         """Using compression options should not raise errors, and should
[2024-04-12T20:52:28.340Z]         return identical GeoDataFrame.
[2024-04-12T20:52:28.340Z]         """
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         test_dataset = "naturalearth_lowres"
[2024-04-12T20:52:28.340Z]         df = read_file(get_path(test_dataset))
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         filename = os.path.join(str(tmpdir), "test.pq")
[2024-04-12T20:52:28.340Z] >       df.to_parquet(filename, compression=compression)
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:367: 
[2024-04-12T20:52:28.340Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.340Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.340Z]     _to_parquet(
[2024-04-12T20:52:28.340Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.340Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.340Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.340Z]         """
[2024-04-12T20:52:28.340Z]         Import an optional dependency.
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         Parameters
[2024-04-12T20:52:28.340Z]         ----------
[2024-04-12T20:52:28.340Z]         name : str
[2024-04-12T20:52:28.340Z]             The module name.
[2024-04-12T20:52:28.340Z]         extra : str
[2024-04-12T20:52:28.340Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.340Z]         Returns
[2024-04-12T20:52:28.340Z]         -------
[2024-04-12T20:52:28.340Z]         module
[2024-04-12T20:52:28.340Z]         """
[2024-04-12T20:52:28.340Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.340Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.340Z]             name=name, extra=extra
[2024-04-12T20:52:28.340Z]         )
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.340Z]             raise ValueError(
[2024-04-12T20:52:28.340Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.340Z]             )
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         try:
[2024-04-12T20:52:28.340Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         except ImportError:
[2024-04-12T20:52:28.340Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.340Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.340Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.340Z] [31m[1m_______________________ test_parquet_compression[brotli] _______________________[0m
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z] compression = 'brotli'
[2024-04-12T20:52:28.340Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_parquet_compression_brotl0')
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z]     @pytest.mark.parametrize("compression", ["snappy", "gzip", "brotli", None])
[2024-04-12T20:52:28.340Z]     def test_parquet_compression(compression, tmpdir):
[2024-04-12T20:52:28.340Z]         """Using compression options should not raise errors, and should
[2024-04-12T20:52:28.340Z]         return identical GeoDataFrame.
[2024-04-12T20:52:28.340Z]         """
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         test_dataset = "naturalearth_lowres"
[2024-04-12T20:52:28.340Z]         df = read_file(get_path(test_dataset))
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         filename = os.path.join(str(tmpdir), "test.pq")
[2024-04-12T20:52:28.340Z] >       df.to_parquet(filename, compression=compression)
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:367: 
[2024-04-12T20:52:28.340Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.340Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.340Z]     _to_parquet(
[2024-04-12T20:52:28.340Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.340Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.340Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.340Z]         """
[2024-04-12T20:52:28.340Z]         Import an optional dependency.
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         Parameters
[2024-04-12T20:52:28.340Z]         ----------
[2024-04-12T20:52:28.340Z]         name : str
[2024-04-12T20:52:28.340Z]             The module name.
[2024-04-12T20:52:28.340Z]         extra : str
[2024-04-12T20:52:28.340Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.340Z]         Returns
[2024-04-12T20:52:28.340Z]         -------
[2024-04-12T20:52:28.340Z]         module
[2024-04-12T20:52:28.340Z]         """
[2024-04-12T20:52:28.340Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.340Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.340Z]             name=name, extra=extra
[2024-04-12T20:52:28.340Z]         )
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.340Z]             raise ValueError(
[2024-04-12T20:52:28.340Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.340Z]             )
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         try:
[2024-04-12T20:52:28.340Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         except ImportError:
[2024-04-12T20:52:28.340Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.340Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.340Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.340Z] [31m[1m________________________ test_parquet_compression[None] ________________________[0m
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z] compression = None
[2024-04-12T20:52:28.340Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_parquet_compression_None_0')
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z]     @pytest.mark.parametrize("compression", ["snappy", "gzip", "brotli", None])
[2024-04-12T20:52:28.340Z]     def test_parquet_compression(compression, tmpdir):
[2024-04-12T20:52:28.340Z]         """Using compression options should not raise errors, and should
[2024-04-12T20:52:28.340Z]         return identical GeoDataFrame.
[2024-04-12T20:52:28.340Z]         """
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         test_dataset = "naturalearth_lowres"
[2024-04-12T20:52:28.340Z]         df = read_file(get_path(test_dataset))
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         filename = os.path.join(str(tmpdir), "test.pq")
[2024-04-12T20:52:28.340Z] >       df.to_parquet(filename, compression=compression)
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:367: 
[2024-04-12T20:52:28.340Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.340Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.340Z]     _to_parquet(
[2024-04-12T20:52:28.340Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.340Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.340Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.340Z] 
[2024-04-12T20:52:28.340Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.340Z]         """
[2024-04-12T20:52:28.340Z]         Import an optional dependency.
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.340Z]     
[2024-04-12T20:52:28.340Z]         Parameters
[2024-04-12T20:52:28.340Z]         ----------
[2024-04-12T20:52:28.340Z]         name : str
[2024-04-12T20:52:28.340Z]             The module name.
[2024-04-12T20:52:28.340Z]         extra : str
[2024-04-12T20:52:28.340Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.340Z]         Returns
[2024-04-12T20:52:28.340Z]         -------
[2024-04-12T20:52:28.340Z]         module
[2024-04-12T20:52:28.340Z]         """
[2024-04-12T20:52:28.341Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.341Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.341Z]             name=name, extra=extra
[2024-04-12T20:52:28.341Z]         )
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.341Z]             raise ValueError(
[2024-04-12T20:52:28.341Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.341Z]             )
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]         try:
[2024-04-12T20:52:28.341Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]         except ImportError:
[2024-04-12T20:52:28.341Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.341Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.341Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.341Z] 
[2024-04-12T20:52:28.341Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.341Z] [31m[1m___________________ test_parquet_multiple_geom_cols[parquet] ___________________[0m
[2024-04-12T20:52:28.341Z] 
[2024-04-12T20:52:28.341Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_parquet_multiple_geom_col0')
[2024-04-12T20:52:28.341Z] file_format = (<function _read_parquet at 0x7cb20b927100>, <function GeoDataFrame.to_parquet at 0x7cb20b924360>)
[2024-04-12T20:52:28.341Z] 
[2024-04-12T20:52:28.341Z]     def test_parquet_multiple_geom_cols(tmpdir, file_format):
[2024-04-12T20:52:28.341Z]         """If multiple geometry columns are present when written to parquet,
[2024-04-12T20:52:28.341Z]         they should all be returned as such when read from parquet.
[2024-04-12T20:52:28.341Z]         """
[2024-04-12T20:52:28.341Z]         reader, writer = file_format
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]         test_dataset = "naturalearth_lowres"
[2024-04-12T20:52:28.341Z]         df = read_file(get_path(test_dataset))
[2024-04-12T20:52:28.341Z]         df["geom2"] = df.geometry.copy()
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]         filename = os.path.join(str(tmpdir), "test.pq")
[2024-04-12T20:52:28.341Z] >       writer(df, filename)
[2024-04-12T20:52:28.341Z] 
[2024-04-12T20:52:28.341Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:406: 
[2024-04-12T20:52:28.341Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.341Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.341Z]     _to_parquet(
[2024-04-12T20:52:28.341Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.341Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.341Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.341Z] 
[2024-04-12T20:52:28.341Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.341Z] 
[2024-04-12T20:52:28.341Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.341Z]         """
[2024-04-12T20:52:28.341Z]         Import an optional dependency.
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]         Parameters
[2024-04-12T20:52:28.341Z]         ----------
[2024-04-12T20:52:28.341Z]         name : str
[2024-04-12T20:52:28.341Z]             The module name.
[2024-04-12T20:52:28.341Z]         extra : str
[2024-04-12T20:52:28.341Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.341Z]         Returns
[2024-04-12T20:52:28.341Z]         -------
[2024-04-12T20:52:28.341Z]         module
[2024-04-12T20:52:28.341Z]         """
[2024-04-12T20:52:28.341Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.341Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.341Z]             name=name, extra=extra
[2024-04-12T20:52:28.341Z]         )
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.341Z]             raise ValueError(
[2024-04-12T20:52:28.341Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.341Z]             )
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]         try:
[2024-04-12T20:52:28.341Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]         except ImportError:
[2024-04-12T20:52:28.341Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.341Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.341Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.341Z] 
[2024-04-12T20:52:28.341Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.341Z] [31m[1m________________________ test_parquet_missing_metadata _________________________[0m
[2024-04-12T20:52:28.341Z] 
[2024-04-12T20:52:28.341Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_parquet_missing_metadata0')
[2024-04-12T20:52:28.341Z] 
[2024-04-12T20:52:28.341Z]     def test_parquet_missing_metadata(tmpdir):
[2024-04-12T20:52:28.341Z]         """Missing geo metadata, such as from a parquet file created
[2024-04-12T20:52:28.341Z]         from a pandas DataFrame, will raise a ValueError.
[2024-04-12T20:52:28.341Z]         """
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]         test_dataset = "naturalearth_lowres"
[2024-04-12T20:52:28.341Z]         df = read_file(get_path(test_dataset))
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]         # convert to DataFrame
[2024-04-12T20:52:28.341Z]         df = DataFrame(df)
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]         # convert the geometry column so we can extract later
[2024-04-12T20:52:28.341Z]         df["geometry"] = to_wkb(df["geometry"].values)
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]         filename = os.path.join(str(tmpdir), "test.pq")
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]         # use pandas to_parquet (no geo metadata)
[2024-04-12T20:52:28.341Z] >       df.to_parquet(filename)
[2024-04-12T20:52:28.341Z] 
[2024-04-12T20:52:28.341Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:435: 
[2024-04-12T20:52:28.341Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.341Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/util/_decorators.py[0m:211: in wrapper
[2024-04-12T20:52:28.341Z]     return func(*args, **kwargs)
[2024-04-12T20:52:28.341Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/core/frame.py[0m:2976: in to_parquet
[2024-04-12T20:52:28.341Z]     return to_parquet(
[2024-04-12T20:52:28.341Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/io/parquet.py[0m:426: in to_parquet
[2024-04-12T20:52:28.341Z]     impl = get_engine(engine)
[2024-04-12T20:52:28.341Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.341Z] 
[2024-04-12T20:52:28.341Z] engine = 'auto'
[2024-04-12T20:52:28.341Z] 
[2024-04-12T20:52:28.341Z]     def get_engine(engine: str) -> BaseImpl:
[2024-04-12T20:52:28.341Z]         """return our implementation"""
[2024-04-12T20:52:28.341Z]         if engine == "auto":
[2024-04-12T20:52:28.341Z]             engine = get_option("io.parquet.engine")
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]         if engine == "auto":
[2024-04-12T20:52:28.341Z]             # try engines in this order
[2024-04-12T20:52:28.341Z]             engine_classes = [PyArrowImpl, FastParquetImpl]
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]             error_msgs = ""
[2024-04-12T20:52:28.341Z]             for engine_class in engine_classes:
[2024-04-12T20:52:28.341Z]                 try:
[2024-04-12T20:52:28.341Z]                     return engine_class()
[2024-04-12T20:52:28.341Z]                 except ImportError as err:
[2024-04-12T20:52:28.341Z]                     error_msgs += "\n - " + str(err)
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z] >           raise ImportError(
[2024-04-12T20:52:28.341Z]                 "Unable to find a usable engine; "
[2024-04-12T20:52:28.341Z]                 "tried using: 'pyarrow', 'fastparquet'.\n"
[2024-04-12T20:52:28.341Z]                 "A suitable version of "
[2024-04-12T20:52:28.341Z]                 "pyarrow or fastparquet is required for parquet "
[2024-04-12T20:52:28.341Z]                 "support.\n"
[2024-04-12T20:52:28.341Z]                 "Trying to import the above resulted in these errors:"
[2024-04-12T20:52:28.341Z]                 f"{error_msgs}"
[2024-04-12T20:52:28.341Z]             )
[2024-04-12T20:52:28.341Z] [1m[31mE           ImportError: Unable to find a usable engine; tried using: 'pyarrow', 'fastparquet'.[0m
[2024-04-12T20:52:28.341Z] [1m[31mE           A suitable version of pyarrow or fastparquet is required for parquet support.[0m
[2024-04-12T20:52:28.341Z] [1m[31mE           Trying to import the above resulted in these errors:[0m
[2024-04-12T20:52:28.341Z] [1m[31mE            - The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.341Z] [1m[31mE            - Missing optional dependency 'fastparquet'. fastparquet is required for parquet support. Use pip or conda to install fastparquet.[0m
[2024-04-12T20:52:28.341Z] 
[2024-04-12T20:52:28.341Z] [1m[31m/usr/lib/python3.11/site-packages/pandas/io/parquet.py[0m:52: ImportError
[2024-04-12T20:52:28.341Z] [31m[1m________________________ test_parquet_missing_metadata2 ________________________[0m
[2024-04-12T20:52:28.341Z] 
[2024-04-12T20:52:28.341Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_parquet_missing_metadata20')
[2024-04-12T20:52:28.341Z] 
[2024-04-12T20:52:28.341Z]     def test_parquet_missing_metadata2(tmpdir):
[2024-04-12T20:52:28.341Z]         """Missing geo metadata, such as from a parquet file created
[2024-04-12T20:52:28.341Z]         from a pyarrow Table (which will also not contain pandas metadata),
[2024-04-12T20:52:28.341Z]         will raise a ValueError.
[2024-04-12T20:52:28.341Z]         """
[2024-04-12T20:52:28.341Z] >       import pyarrow.parquet as pq
[2024-04-12T20:52:28.341Z] 
[2024-04-12T20:52:28.341Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:449: 
[2024-04-12T20:52:28.341Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.341Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/__init__.py[0m:20: in <module>
[2024-04-12T20:52:28.341Z]     from .core import *
[2024-04-12T20:52:28.341Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.341Z] 
[2024-04-12T20:52:28.341Z]     # Licensed to the Apache Software Foundation (ASF) under one
[2024-04-12T20:52:28.341Z]     # or more contributor license agreements.  See the NOTICE file
[2024-04-12T20:52:28.341Z]     # distributed with this work for additional information
[2024-04-12T20:52:28.341Z]     # regarding copyright ownership.  The ASF licenses this file
[2024-04-12T20:52:28.341Z]     # to you under the Apache License, Version 2.0 (the
[2024-04-12T20:52:28.341Z]     # "License"); you may not use this file except in compliance
[2024-04-12T20:52:28.341Z]     # with the License.  You may obtain a copy of the License at
[2024-04-12T20:52:28.341Z]     #
[2024-04-12T20:52:28.341Z]     #   http://www.apache.org/licenses/LICENSE-2.0
[2024-04-12T20:52:28.341Z]     #
[2024-04-12T20:52:28.341Z]     # Unless required by applicable law or agreed to in writing,
[2024-04-12T20:52:28.341Z]     # software distributed under the License is distributed on an
[2024-04-12T20:52:28.341Z]     # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
[2024-04-12T20:52:28.341Z]     # KIND, either express or implied.  See the License for the
[2024-04-12T20:52:28.341Z]     # specific language governing permissions and limitations
[2024-04-12T20:52:28.341Z]     # under the License.
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]     from collections import defaultdict
[2024-04-12T20:52:28.341Z]     from contextlib import nullcontext
[2024-04-12T20:52:28.341Z]     from functools import reduce
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]     import inspect
[2024-04-12T20:52:28.341Z]     import json
[2024-04-12T20:52:28.341Z]     import os
[2024-04-12T20:52:28.341Z]     import re
[2024-04-12T20:52:28.341Z]     import operator
[2024-04-12T20:52:28.341Z]     import warnings
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]     import pyarrow as pa
[2024-04-12T20:52:28.341Z]     
[2024-04-12T20:52:28.341Z]     try:
[2024-04-12T20:52:28.341Z]         import pyarrow._parquet as _parquet
[2024-04-12T20:52:28.341Z]     except ImportError as exc:
[2024-04-12T20:52:28.341Z] >       raise ImportError(
[2024-04-12T20:52:28.341Z]             "The pyarrow installation is not built with support "
[2024-04-12T20:52:28.341Z]             f"for the Parquet file format ({str(exc)})"
[2024-04-12T20:52:28.341Z]         ) from None
[2024-04-12T20:52:28.341Z] [1m[31mE       ImportError: The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.342Z] 
[2024-04-12T20:52:28.342Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/core.py[0m:35: ImportError
[2024-04-12T20:52:28.342Z] [31m[1m_ test_parquet_invalid_metadata[geo_meta0-Missing or malformed geo metadata in Parquet/Feather file] _[0m
[2024-04-12T20:52:28.342Z] 
[2024-04-12T20:52:28.342Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_parquet_invalid_metadata_0')
[2024-04-12T20:52:28.342Z] geo_meta = {'geo': b''}
[2024-04-12T20:52:28.342Z] error = 'Missing or malformed geo metadata in Parquet/Feather file'
[2024-04-12T20:52:28.342Z] 
[2024-04-12T20:52:28.342Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.342Z]         "geo_meta,error",
[2024-04-12T20:52:28.342Z]         [
[2024-04-12T20:52:28.342Z]             ({"geo": b""}, "Missing or malformed geo metadata in Parquet/Feather file"),
[2024-04-12T20:52:28.342Z]             (
[2024-04-12T20:52:28.342Z]                 {"geo": _encode_metadata({})},
[2024-04-12T20:52:28.342Z]                 "Missing or malformed geo metadata in Parquet/Feather file",
[2024-04-12T20:52:28.342Z]             ),
[2024-04-12T20:52:28.342Z]             (
[2024-04-12T20:52:28.342Z]                 {"geo": _encode_metadata({"foo": "bar"})},
[2024-04-12T20:52:28.342Z]                 "'geo' metadata in Parquet/Feather file is missing required key",
[2024-04-12T20:52:28.342Z]             ),
[2024-04-12T20:52:28.342Z]         ],
[2024-04-12T20:52:28.342Z]     )
[2024-04-12T20:52:28.342Z]     def test_parquet_invalid_metadata(tmpdir, geo_meta, error):
[2024-04-12T20:52:28.342Z]         """Has geo metadata with missing required fields will raise a ValueError.
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]         This requires writing the parquet file directly below, so that we can
[2024-04-12T20:52:28.342Z]         control the metadata that is written for this test.
[2024-04-12T20:52:28.342Z]         """
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z] >       from pyarrow import parquet, Table
[2024-04-12T20:52:28.342Z] 
[2024-04-12T20:52:28.342Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:485: 
[2024-04-12T20:52:28.342Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.342Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/__init__.py[0m:20: in <module>
[2024-04-12T20:52:28.342Z]     from .core import *
[2024-04-12T20:52:28.342Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.342Z] 
[2024-04-12T20:52:28.342Z]     # Licensed to the Apache Software Foundation (ASF) under one
[2024-04-12T20:52:28.342Z]     # or more contributor license agreements.  See the NOTICE file
[2024-04-12T20:52:28.342Z]     # distributed with this work for additional information
[2024-04-12T20:52:28.342Z]     # regarding copyright ownership.  The ASF licenses this file
[2024-04-12T20:52:28.342Z]     # to you under the Apache License, Version 2.0 (the
[2024-04-12T20:52:28.342Z]     # "License"); you may not use this file except in compliance
[2024-04-12T20:52:28.342Z]     # with the License.  You may obtain a copy of the License at
[2024-04-12T20:52:28.342Z]     #
[2024-04-12T20:52:28.342Z]     #   http://www.apache.org/licenses/LICENSE-2.0
[2024-04-12T20:52:28.342Z]     #
[2024-04-12T20:52:28.342Z]     # Unless required by applicable law or agreed to in writing,
[2024-04-12T20:52:28.342Z]     # software distributed under the License is distributed on an
[2024-04-12T20:52:28.342Z]     # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
[2024-04-12T20:52:28.342Z]     # KIND, either express or implied.  See the License for the
[2024-04-12T20:52:28.342Z]     # specific language governing permissions and limitations
[2024-04-12T20:52:28.342Z]     # under the License.
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]     from collections import defaultdict
[2024-04-12T20:52:28.342Z]     from contextlib import nullcontext
[2024-04-12T20:52:28.342Z]     from functools import reduce
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]     import inspect
[2024-04-12T20:52:28.342Z]     import json
[2024-04-12T20:52:28.342Z]     import os
[2024-04-12T20:52:28.342Z]     import re
[2024-04-12T20:52:28.342Z]     import operator
[2024-04-12T20:52:28.342Z]     import warnings
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]     import pyarrow as pa
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]     try:
[2024-04-12T20:52:28.342Z]         import pyarrow._parquet as _parquet
[2024-04-12T20:52:28.342Z]     except ImportError as exc:
[2024-04-12T20:52:28.342Z] >       raise ImportError(
[2024-04-12T20:52:28.342Z]             "The pyarrow installation is not built with support "
[2024-04-12T20:52:28.342Z]             f"for the Parquet file format ({str(exc)})"
[2024-04-12T20:52:28.342Z]         ) from None
[2024-04-12T20:52:28.342Z] [1m[31mE       ImportError: The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.342Z] 
[2024-04-12T20:52:28.342Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/core.py[0m:35: ImportError
[2024-04-12T20:52:28.342Z] [31m[1m_ test_parquet_invalid_metadata[geo_meta1-Missing or malformed geo metadata in Parquet/Feather file] _[0m
[2024-04-12T20:52:28.342Z] 
[2024-04-12T20:52:28.342Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_parquet_invalid_metadata_1')
[2024-04-12T20:52:28.342Z] geo_meta = {'geo': b'{}'}
[2024-04-12T20:52:28.342Z] error = 'Missing or malformed geo metadata in Parquet/Feather file'
[2024-04-12T20:52:28.342Z] 
[2024-04-12T20:52:28.342Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.342Z]         "geo_meta,error",
[2024-04-12T20:52:28.342Z]         [
[2024-04-12T20:52:28.342Z]             ({"geo": b""}, "Missing or malformed geo metadata in Parquet/Feather file"),
[2024-04-12T20:52:28.342Z]             (
[2024-04-12T20:52:28.342Z]                 {"geo": _encode_metadata({})},
[2024-04-12T20:52:28.342Z]                 "Missing or malformed geo metadata in Parquet/Feather file",
[2024-04-12T20:52:28.342Z]             ),
[2024-04-12T20:52:28.342Z]             (
[2024-04-12T20:52:28.342Z]                 {"geo": _encode_metadata({"foo": "bar"})},
[2024-04-12T20:52:28.342Z]                 "'geo' metadata in Parquet/Feather file is missing required key",
[2024-04-12T20:52:28.342Z]             ),
[2024-04-12T20:52:28.342Z]         ],
[2024-04-12T20:52:28.342Z]     )
[2024-04-12T20:52:28.342Z]     def test_parquet_invalid_metadata(tmpdir, geo_meta, error):
[2024-04-12T20:52:28.342Z]         """Has geo metadata with missing required fields will raise a ValueError.
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]         This requires writing the parquet file directly below, so that we can
[2024-04-12T20:52:28.342Z]         control the metadata that is written for this test.
[2024-04-12T20:52:28.342Z]         """
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z] >       from pyarrow import parquet, Table
[2024-04-12T20:52:28.342Z] 
[2024-04-12T20:52:28.342Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:485: 
[2024-04-12T20:52:28.342Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.342Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/__init__.py[0m:20: in <module>
[2024-04-12T20:52:28.342Z]     from .core import *
[2024-04-12T20:52:28.342Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.342Z] 
[2024-04-12T20:52:28.342Z]     # Licensed to the Apache Software Foundation (ASF) under one
[2024-04-12T20:52:28.342Z]     # or more contributor license agreements.  See the NOTICE file
[2024-04-12T20:52:28.342Z]     # distributed with this work for additional information
[2024-04-12T20:52:28.342Z]     # regarding copyright ownership.  The ASF licenses this file
[2024-04-12T20:52:28.342Z]     # to you under the Apache License, Version 2.0 (the
[2024-04-12T20:52:28.342Z]     # "License"); you may not use this file except in compliance
[2024-04-12T20:52:28.342Z]     # with the License.  You may obtain a copy of the License at
[2024-04-12T20:52:28.342Z]     #
[2024-04-12T20:52:28.342Z]     #   http://www.apache.org/licenses/LICENSE-2.0
[2024-04-12T20:52:28.342Z]     #
[2024-04-12T20:52:28.342Z]     # Unless required by applicable law or agreed to in writing,
[2024-04-12T20:52:28.342Z]     # software distributed under the License is distributed on an
[2024-04-12T20:52:28.342Z]     # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
[2024-04-12T20:52:28.342Z]     # KIND, either express or implied.  See the License for the
[2024-04-12T20:52:28.342Z]     # specific language governing permissions and limitations
[2024-04-12T20:52:28.342Z]     # under the License.
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]     from collections import defaultdict
[2024-04-12T20:52:28.342Z]     from contextlib import nullcontext
[2024-04-12T20:52:28.342Z]     from functools import reduce
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]     import inspect
[2024-04-12T20:52:28.342Z]     import json
[2024-04-12T20:52:28.342Z]     import os
[2024-04-12T20:52:28.342Z]     import re
[2024-04-12T20:52:28.342Z]     import operator
[2024-04-12T20:52:28.342Z]     import warnings
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]     import pyarrow as pa
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]     try:
[2024-04-12T20:52:28.342Z]         import pyarrow._parquet as _parquet
[2024-04-12T20:52:28.342Z]     except ImportError as exc:
[2024-04-12T20:52:28.342Z] >       raise ImportError(
[2024-04-12T20:52:28.342Z]             "The pyarrow installation is not built with support "
[2024-04-12T20:52:28.342Z]             f"for the Parquet file format ({str(exc)})"
[2024-04-12T20:52:28.342Z]         ) from None
[2024-04-12T20:52:28.342Z] [1m[31mE       ImportError: The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.342Z] 
[2024-04-12T20:52:28.342Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/core.py[0m:35: ImportError
[2024-04-12T20:52:28.342Z] [31m[1m_ test_parquet_invalid_metadata[geo_meta2-'geo' metadata in Parquet/Feather file is missing required key] _[0m
[2024-04-12T20:52:28.342Z] 
[2024-04-12T20:52:28.342Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_parquet_invalid_metadata_2')
[2024-04-12T20:52:28.342Z] geo_meta = {'geo': b'{"foo": "bar"}'}
[2024-04-12T20:52:28.342Z] error = "'geo' metadata in Parquet/Feather file is missing required key"
[2024-04-12T20:52:28.342Z] 
[2024-04-12T20:52:28.342Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.342Z]         "geo_meta,error",
[2024-04-12T20:52:28.342Z]         [
[2024-04-12T20:52:28.342Z]             ({"geo": b""}, "Missing or malformed geo metadata in Parquet/Feather file"),
[2024-04-12T20:52:28.342Z]             (
[2024-04-12T20:52:28.342Z]                 {"geo": _encode_metadata({})},
[2024-04-12T20:52:28.342Z]                 "Missing or malformed geo metadata in Parquet/Feather file",
[2024-04-12T20:52:28.342Z]             ),
[2024-04-12T20:52:28.342Z]             (
[2024-04-12T20:52:28.342Z]                 {"geo": _encode_metadata({"foo": "bar"})},
[2024-04-12T20:52:28.342Z]                 "'geo' metadata in Parquet/Feather file is missing required key",
[2024-04-12T20:52:28.342Z]             ),
[2024-04-12T20:52:28.342Z]         ],
[2024-04-12T20:52:28.342Z]     )
[2024-04-12T20:52:28.342Z]     def test_parquet_invalid_metadata(tmpdir, geo_meta, error):
[2024-04-12T20:52:28.342Z]         """Has geo metadata with missing required fields will raise a ValueError.
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]         This requires writing the parquet file directly below, so that we can
[2024-04-12T20:52:28.342Z]         control the metadata that is written for this test.
[2024-04-12T20:52:28.342Z]         """
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z] >       from pyarrow import parquet, Table
[2024-04-12T20:52:28.342Z] 
[2024-04-12T20:52:28.342Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:485: 
[2024-04-12T20:52:28.342Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.342Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/__init__.py[0m:20: in <module>
[2024-04-12T20:52:28.342Z]     from .core import *
[2024-04-12T20:52:28.342Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.342Z] 
[2024-04-12T20:52:28.342Z]     # Licensed to the Apache Software Foundation (ASF) under one
[2024-04-12T20:52:28.342Z]     # or more contributor license agreements.  See the NOTICE file
[2024-04-12T20:52:28.342Z]     # distributed with this work for additional information
[2024-04-12T20:52:28.342Z]     # regarding copyright ownership.  The ASF licenses this file
[2024-04-12T20:52:28.342Z]     # to you under the Apache License, Version 2.0 (the
[2024-04-12T20:52:28.342Z]     # "License"); you may not use this file except in compliance
[2024-04-12T20:52:28.342Z]     # with the License.  You may obtain a copy of the License at
[2024-04-12T20:52:28.342Z]     #
[2024-04-12T20:52:28.342Z]     #   http://www.apache.org/licenses/LICENSE-2.0
[2024-04-12T20:52:28.342Z]     #
[2024-04-12T20:52:28.342Z]     # Unless required by applicable law or agreed to in writing,
[2024-04-12T20:52:28.342Z]     # software distributed under the License is distributed on an
[2024-04-12T20:52:28.342Z]     # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
[2024-04-12T20:52:28.342Z]     # KIND, either express or implied.  See the License for the
[2024-04-12T20:52:28.342Z]     # specific language governing permissions and limitations
[2024-04-12T20:52:28.342Z]     # under the License.
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]     from collections import defaultdict
[2024-04-12T20:52:28.342Z]     from contextlib import nullcontext
[2024-04-12T20:52:28.342Z]     from functools import reduce
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]     import inspect
[2024-04-12T20:52:28.342Z]     import json
[2024-04-12T20:52:28.342Z]     import os
[2024-04-12T20:52:28.342Z]     import re
[2024-04-12T20:52:28.342Z]     import operator
[2024-04-12T20:52:28.342Z]     import warnings
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]     import pyarrow as pa
[2024-04-12T20:52:28.342Z]     
[2024-04-12T20:52:28.342Z]     try:
[2024-04-12T20:52:28.342Z]         import pyarrow._parquet as _parquet
[2024-04-12T20:52:28.342Z]     except ImportError as exc:
[2024-04-12T20:52:28.342Z] >       raise ImportError(
[2024-04-12T20:52:28.342Z]             "The pyarrow installation is not built with support "
[2024-04-12T20:52:28.342Z]             f"for the Parquet file format ({str(exc)})"
[2024-04-12T20:52:28.342Z]         ) from None
[2024-04-12T20:52:28.342Z] [1m[31mE       ImportError: The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.342Z] 
[2024-04-12T20:52:28.342Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/core.py[0m:35: ImportError
[2024-04-12T20:52:28.342Z] [31m[1m_________________________ test_subset_columns[parquet] _________________________[0m
[2024-04-12T20:52:28.342Z] 
[2024-04-12T20:52:28.343Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_subset_columns_parquet_0')
[2024-04-12T20:52:28.343Z] file_format = (<function _read_parquet at 0x7cb20b927100>, <function GeoDataFrame.to_parquet at 0x7cb20b924360>)
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z]     def test_subset_columns(tmpdir, file_format):
[2024-04-12T20:52:28.343Z]         """Reading a subset of columns should correctly decode selected geometry
[2024-04-12T20:52:28.343Z]         columns.
[2024-04-12T20:52:28.343Z]         """
[2024-04-12T20:52:28.343Z]         reader, writer = file_format
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         test_dataset = "naturalearth_lowres"
[2024-04-12T20:52:28.343Z]         df = read_file(get_path(test_dataset))
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         filename = os.path.join(str(tmpdir), "test.pq")
[2024-04-12T20:52:28.343Z] >       writer(df, filename)
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:516: 
[2024-04-12T20:52:28.343Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.343Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.343Z]     _to_parquet(
[2024-04-12T20:52:28.343Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.343Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.343Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.343Z]         """
[2024-04-12T20:52:28.343Z]         Import an optional dependency.
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         Parameters
[2024-04-12T20:52:28.343Z]         ----------
[2024-04-12T20:52:28.343Z]         name : str
[2024-04-12T20:52:28.343Z]             The module name.
[2024-04-12T20:52:28.343Z]         extra : str
[2024-04-12T20:52:28.343Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.343Z]         Returns
[2024-04-12T20:52:28.343Z]         -------
[2024-04-12T20:52:28.343Z]         module
[2024-04-12T20:52:28.343Z]         """
[2024-04-12T20:52:28.343Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.343Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.343Z]             name=name, extra=extra
[2024-04-12T20:52:28.343Z]         )
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.343Z]             raise ValueError(
[2024-04-12T20:52:28.343Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.343Z]             )
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         try:
[2024-04-12T20:52:28.343Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         except ImportError:
[2024-04-12T20:52:28.343Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.343Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.343Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.343Z] [31m[1m___________________ test_promote_secondary_geometry[parquet] ___________________[0m
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_promote_secondary_geometr0')
[2024-04-12T20:52:28.343Z] file_format = (<function _read_parquet at 0x7cb20b927100>, <function GeoDataFrame.to_parquet at 0x7cb20b924360>)
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z]     def test_promote_secondary_geometry(tmpdir, file_format):
[2024-04-12T20:52:28.343Z]         """Reading a subset of columns that does not include the primary geometry
[2024-04-12T20:52:28.343Z]         column should promote the first geometry column present.
[2024-04-12T20:52:28.343Z]         """
[2024-04-12T20:52:28.343Z]         reader, writer = file_format
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         test_dataset = "naturalearth_lowres"
[2024-04-12T20:52:28.343Z]         df = read_file(get_path(test_dataset))
[2024-04-12T20:52:28.343Z]         df["geom2"] = df.geometry.copy()
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         filename = os.path.join(str(tmpdir), "test.pq")
[2024-04-12T20:52:28.343Z] >       writer(df, filename)
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:538: 
[2024-04-12T20:52:28.343Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.343Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.343Z]     _to_parquet(
[2024-04-12T20:52:28.343Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.343Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.343Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.343Z]         """
[2024-04-12T20:52:28.343Z]         Import an optional dependency.
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         Parameters
[2024-04-12T20:52:28.343Z]         ----------
[2024-04-12T20:52:28.343Z]         name : str
[2024-04-12T20:52:28.343Z]             The module name.
[2024-04-12T20:52:28.343Z]         extra : str
[2024-04-12T20:52:28.343Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.343Z]         Returns
[2024-04-12T20:52:28.343Z]         -------
[2024-04-12T20:52:28.343Z]         module
[2024-04-12T20:52:28.343Z]         """
[2024-04-12T20:52:28.343Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.343Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.343Z]             name=name, extra=extra
[2024-04-12T20:52:28.343Z]         )
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.343Z]             raise ValueError(
[2024-04-12T20:52:28.343Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.343Z]             )
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         try:
[2024-04-12T20:52:28.343Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         except ImportError:
[2024-04-12T20:52:28.343Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.343Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.343Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.343Z] [31m[1m______________________ test_columns_no_geometry[parquet] _______________________[0m
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_columns_no_geometry_parqu0')
[2024-04-12T20:52:28.343Z] file_format = (<function _read_parquet at 0x7cb20b927100>, <function GeoDataFrame.to_parquet at 0x7cb20b924360>)
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z]     def test_columns_no_geometry(tmpdir, file_format):
[2024-04-12T20:52:28.343Z]         """Reading a parquet file that is missing all of the geometry columns
[2024-04-12T20:52:28.343Z]         should raise a ValueError"""
[2024-04-12T20:52:28.343Z]         reader, writer = file_format
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         test_dataset = "naturalearth_lowres"
[2024-04-12T20:52:28.343Z]         df = read_file(get_path(test_dataset))
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         filename = os.path.join(str(tmpdir), "test.pq")
[2024-04-12T20:52:28.343Z] >       writer(df, filename)
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:566: 
[2024-04-12T20:52:28.343Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.343Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.343Z]     _to_parquet(
[2024-04-12T20:52:28.343Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.343Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.343Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.343Z]         """
[2024-04-12T20:52:28.343Z]         Import an optional dependency.
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         Parameters
[2024-04-12T20:52:28.343Z]         ----------
[2024-04-12T20:52:28.343Z]         name : str
[2024-04-12T20:52:28.343Z]             The module name.
[2024-04-12T20:52:28.343Z]         extra : str
[2024-04-12T20:52:28.343Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.343Z]         Returns
[2024-04-12T20:52:28.343Z]         -------
[2024-04-12T20:52:28.343Z]         module
[2024-04-12T20:52:28.343Z]         """
[2024-04-12T20:52:28.343Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.343Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.343Z]             name=name, extra=extra
[2024-04-12T20:52:28.343Z]         )
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.343Z]             raise ValueError(
[2024-04-12T20:52:28.343Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.343Z]             )
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         try:
[2024-04-12T20:52:28.343Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         except ImportError:
[2024-04-12T20:52:28.343Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.343Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.343Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.343Z] [31m[1m__________________________ test_missing_crs[parquet] ___________________________[0m
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_missing_crs_parquet_0')
[2024-04-12T20:52:28.343Z] file_format = (<function _read_parquet at 0x7cb20b927100>, <function GeoDataFrame.to_parquet at 0x7cb20b924360>)
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z]     def test_missing_crs(tmpdir, file_format):
[2024-04-12T20:52:28.343Z]         """If CRS is `None`, it should be properly handled
[2024-04-12T20:52:28.343Z]         and remain `None` when read from parquet`.
[2024-04-12T20:52:28.343Z]         """
[2024-04-12T20:52:28.343Z]         reader, writer = file_format
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         test_dataset = "naturalearth_lowres"
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         df = read_file(get_path(test_dataset))
[2024-04-12T20:52:28.343Z]         df.crs = None
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         filename = os.path.join(str(tmpdir), "test.pq")
[2024-04-12T20:52:28.343Z] >       writer(df, filename)
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:584: 
[2024-04-12T20:52:28.343Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.343Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.343Z]     _to_parquet(
[2024-04-12T20:52:28.343Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.343Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.343Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.343Z] 
[2024-04-12T20:52:28.343Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.343Z]         """
[2024-04-12T20:52:28.343Z]         Import an optional dependency.
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.343Z]     
[2024-04-12T20:52:28.343Z]         Parameters
[2024-04-12T20:52:28.343Z]         ----------
[2024-04-12T20:52:28.343Z]         name : str
[2024-04-12T20:52:28.343Z]             The module name.
[2024-04-12T20:52:28.343Z]         extra : str
[2024-04-12T20:52:28.594Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.594Z]         Returns
[2024-04-12T20:52:28.594Z]         -------
[2024-04-12T20:52:28.594Z]         module
[2024-04-12T20:52:28.594Z]         """
[2024-04-12T20:52:28.594Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.594Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.594Z]             name=name, extra=extra
[2024-04-12T20:52:28.594Z]         )
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.594Z]             raise ValueError(
[2024-04-12T20:52:28.594Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.594Z]             )
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         try:
[2024-04-12T20:52:28.594Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         except ImportError:
[2024-04-12T20:52:28.594Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.594Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.594Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.594Z] 
[2024-04-12T20:52:28.594Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.594Z] [31m[1m_________________________ test_default_geo_col_writes __________________________[0m
[2024-04-12T20:52:28.594Z] 
[2024-04-12T20:52:28.594Z] tmp_path = PosixPath('/tmp/pytest-of-builduser/pytest-0/test_default_geo_col_writes0')
[2024-04-12T20:52:28.594Z] 
[2024-04-12T20:52:28.594Z]     def test_default_geo_col_writes(tmp_path):
[2024-04-12T20:52:28.594Z]         # edge case geo col name None writes successfully
[2024-04-12T20:52:28.594Z]         df = GeoDataFrame({"a": [1, 2]})
[2024-04-12T20:52:28.594Z] >       df.to_parquet(tmp_path / "test.pq")
[2024-04-12T20:52:28.594Z] 
[2024-04-12T20:52:28.594Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:595: 
[2024-04-12T20:52:28.594Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.594Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.594Z]     _to_parquet(
[2024-04-12T20:52:28.594Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.594Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.594Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.594Z] 
[2024-04-12T20:52:28.594Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.594Z] 
[2024-04-12T20:52:28.594Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.594Z]         """
[2024-04-12T20:52:28.594Z]         Import an optional dependency.
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         Parameters
[2024-04-12T20:52:28.594Z]         ----------
[2024-04-12T20:52:28.594Z]         name : str
[2024-04-12T20:52:28.594Z]             The module name.
[2024-04-12T20:52:28.594Z]         extra : str
[2024-04-12T20:52:28.594Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.594Z]         Returns
[2024-04-12T20:52:28.594Z]         -------
[2024-04-12T20:52:28.594Z]         module
[2024-04-12T20:52:28.594Z]         """
[2024-04-12T20:52:28.594Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.594Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.594Z]             name=name, extra=extra
[2024-04-12T20:52:28.594Z]         )
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.594Z]             raise ValueError(
[2024-04-12T20:52:28.594Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.594Z]             )
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         try:
[2024-04-12T20:52:28.594Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         except ImportError:
[2024-04-12T20:52:28.594Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.594Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.594Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.594Z] 
[2024-04-12T20:52:28.594Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.594Z] [31m[1m_______________________________ test_fsspec_url ________________________________[0m
[2024-04-12T20:52:28.594Z] 
[2024-04-12T20:52:28.594Z]     def test_fsspec_url():
[2024-04-12T20:52:28.594Z]         fsspec = pytest.importorskip("fsspec")
[2024-04-12T20:52:28.594Z]         import fsspec.implementations.memory
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         class MyMemoryFileSystem(fsspec.implementations.memory.MemoryFileSystem):
[2024-04-12T20:52:28.594Z]             # Simple fsspec filesystem that adds a required keyword.
[2024-04-12T20:52:28.594Z]             # Attempting to use this filesystem without the keyword will raise an exception.
[2024-04-12T20:52:28.594Z]             def __init__(self, is_set, *args, **kwargs):
[2024-04-12T20:52:28.594Z]                 self.is_set = is_set
[2024-04-12T20:52:28.594Z]                 super().__init__(*args, **kwargs)
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         fsspec.register_implementation("memory", MyMemoryFileSystem, clobber=True)
[2024-04-12T20:52:28.594Z]         memfs = MyMemoryFileSystem(is_set=True)
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         test_dataset = "naturalearth_lowres"
[2024-04-12T20:52:28.594Z]         df = read_file(get_path(test_dataset))
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         with memfs.open("data.parquet", "wb") as f:
[2024-04-12T20:52:28.594Z] >           df.to_parquet(f)
[2024-04-12T20:52:28.594Z] 
[2024-04-12T20:52:28.594Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:633: 
[2024-04-12T20:52:28.594Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.594Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.594Z]     _to_parquet(
[2024-04-12T20:52:28.594Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.594Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.594Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.594Z] 
[2024-04-12T20:52:28.594Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.594Z] 
[2024-04-12T20:52:28.594Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.594Z]         """
[2024-04-12T20:52:28.594Z]         Import an optional dependency.
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         Parameters
[2024-04-12T20:52:28.594Z]         ----------
[2024-04-12T20:52:28.594Z]         name : str
[2024-04-12T20:52:28.594Z]             The module name.
[2024-04-12T20:52:28.594Z]         extra : str
[2024-04-12T20:52:28.594Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.594Z]         Returns
[2024-04-12T20:52:28.594Z]         -------
[2024-04-12T20:52:28.594Z]         module
[2024-04-12T20:52:28.594Z]         """
[2024-04-12T20:52:28.594Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.594Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.594Z]             name=name, extra=extra
[2024-04-12T20:52:28.594Z]         )
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.594Z]             raise ValueError(
[2024-04-12T20:52:28.594Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.594Z]             )
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         try:
[2024-04-12T20:52:28.594Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.594Z]     
[2024-04-12T20:52:28.594Z]         except ImportError:
[2024-04-12T20:52:28.594Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.594Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.594Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.594Z] 
[2024-04-12T20:52:28.594Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.594Z] [31m[1m_______________ test_non_fsspec_url_with_storage_options_raises ________________[0m
[2024-04-12T20:52:28.594Z] 
[2024-04-12T20:52:28.594Z]     def test_non_fsspec_url_with_storage_options_raises():
[2024-04-12T20:52:28.594Z]         with pytest.raises(ValueError, match="storage_options"):
[2024-04-12T20:52:28.594Z]             test_dataset = "naturalearth_lowres"
[2024-04-12T20:52:28.595Z] >           read_parquet(get_path(test_dataset), storage_options={"foo": "bar"})
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:650: 
[2024-04-12T20:52:28.595Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.595Z] [1m[31mgeopandas/io/arrow.py[0m:590: in _read_parquet
[2024-04-12T20:52:28.595Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.595Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.595Z]         """
[2024-04-12T20:52:28.595Z]         Import an optional dependency.
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         Parameters
[2024-04-12T20:52:28.595Z]         ----------
[2024-04-12T20:52:28.595Z]         name : str
[2024-04-12T20:52:28.595Z]             The module name.
[2024-04-12T20:52:28.595Z]         extra : str
[2024-04-12T20:52:28.595Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.595Z]         Returns
[2024-04-12T20:52:28.595Z]         -------
[2024-04-12T20:52:28.595Z]         module
[2024-04-12T20:52:28.595Z]         """
[2024-04-12T20:52:28.595Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.595Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.595Z]             name=name, extra=extra
[2024-04-12T20:52:28.595Z]         )
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.595Z]             raise ValueError(
[2024-04-12T20:52:28.595Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.595Z]             )
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         try:
[2024-04-12T20:52:28.595Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         except ImportError:
[2024-04-12T20:52:28.595Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.595Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.595Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.595Z] [31m[1m_____________________ test_write_read_parquet_expand_user ______________________[0m
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z]     def test_write_read_parquet_expand_user():
[2024-04-12T20:52:28.595Z]         gdf = geopandas.GeoDataFrame(geometry=[box(0, 0, 10, 10)], crs="epsg:4326")
[2024-04-12T20:52:28.595Z]         test_file = "~/test_file.parquet"
[2024-04-12T20:52:28.595Z] >       gdf.to_parquet(test_file)
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:665: 
[2024-04-12T20:52:28.595Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.595Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.595Z]     _to_parquet(
[2024-04-12T20:52:28.595Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.595Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.595Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.595Z]         """
[2024-04-12T20:52:28.595Z]         Import an optional dependency.
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         Parameters
[2024-04-12T20:52:28.595Z]         ----------
[2024-04-12T20:52:28.595Z]         name : str
[2024-04-12T20:52:28.595Z]             The module name.
[2024-04-12T20:52:28.595Z]         extra : str
[2024-04-12T20:52:28.595Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.595Z]         Returns
[2024-04-12T20:52:28.595Z]         -------
[2024-04-12T20:52:28.595Z]         module
[2024-04-12T20:52:28.595Z]         """
[2024-04-12T20:52:28.595Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.595Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.595Z]             name=name, extra=extra
[2024-04-12T20:52:28.595Z]         )
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.595Z]             raise ValueError(
[2024-04-12T20:52:28.595Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.595Z]             )
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         try:
[2024-04-12T20:52:28.595Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         except ImportError:
[2024-04-12T20:52:28.595Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.595Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.595Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.595Z] [31m[1m_______________________ test_write_empty_bbox[geometry0] _______________________[0m
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_write_empty_bbox_geometry0')
[2024-04-12T20:52:28.595Z] geometry = []
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z]     @pytest.mark.parametrize("geometry", [[], [None]])
[2024-04-12T20:52:28.595Z]     def test_write_empty_bbox(tmpdir, geometry):
[2024-04-12T20:52:28.595Z]         # empty dataframe or all missing geometries -> avoid bbox with NaNs
[2024-04-12T20:52:28.595Z]         gdf = geopandas.GeoDataFrame({"col": [1] * len(geometry)}, geometry=geometry)
[2024-04-12T20:52:28.595Z] >       gdf.to_parquet(tmpdir / "test.parquet")
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:684: 
[2024-04-12T20:52:28.595Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.595Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.595Z]     _to_parquet(
[2024-04-12T20:52:28.595Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.595Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.595Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.595Z]         """
[2024-04-12T20:52:28.595Z]         Import an optional dependency.
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         Parameters
[2024-04-12T20:52:28.595Z]         ----------
[2024-04-12T20:52:28.595Z]         name : str
[2024-04-12T20:52:28.595Z]             The module name.
[2024-04-12T20:52:28.595Z]         extra : str
[2024-04-12T20:52:28.595Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.595Z]         Returns
[2024-04-12T20:52:28.595Z]         -------
[2024-04-12T20:52:28.595Z]         module
[2024-04-12T20:52:28.595Z]         """
[2024-04-12T20:52:28.595Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.595Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.595Z]             name=name, extra=extra
[2024-04-12T20:52:28.595Z]         )
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.595Z]             raise ValueError(
[2024-04-12T20:52:28.595Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.595Z]             )
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         try:
[2024-04-12T20:52:28.595Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         except ImportError:
[2024-04-12T20:52:28.595Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.595Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.595Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.595Z] [31m[1m_______________________ test_write_empty_bbox[geometry1] _______________________[0m
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_write_empty_bbox_geometry1')
[2024-04-12T20:52:28.595Z] geometry = [None]
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z]     @pytest.mark.parametrize("geometry", [[], [None]])
[2024-04-12T20:52:28.595Z]     def test_write_empty_bbox(tmpdir, geometry):
[2024-04-12T20:52:28.595Z]         # empty dataframe or all missing geometries -> avoid bbox with NaNs
[2024-04-12T20:52:28.595Z]         gdf = geopandas.GeoDataFrame({"col": [1] * len(geometry)}, geometry=geometry)
[2024-04-12T20:52:28.595Z] >       gdf.to_parquet(tmpdir / "test.parquet")
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:684: 
[2024-04-12T20:52:28.595Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.595Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.595Z]     _to_parquet(
[2024-04-12T20:52:28.595Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.595Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.595Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.595Z]         """
[2024-04-12T20:52:28.595Z]         Import an optional dependency.
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         Parameters
[2024-04-12T20:52:28.595Z]         ----------
[2024-04-12T20:52:28.595Z]         name : str
[2024-04-12T20:52:28.595Z]             The module name.
[2024-04-12T20:52:28.595Z]         extra : str
[2024-04-12T20:52:28.595Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.595Z]         Returns
[2024-04-12T20:52:28.595Z]         -------
[2024-04-12T20:52:28.595Z]         module
[2024-04-12T20:52:28.595Z]         """
[2024-04-12T20:52:28.595Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.595Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.595Z]             name=name, extra=extra
[2024-04-12T20:52:28.595Z]         )
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.595Z]             raise ValueError(
[2024-04-12T20:52:28.595Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.595Z]             )
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         try:
[2024-04-12T20:52:28.595Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.595Z]     
[2024-04-12T20:52:28.595Z]         except ImportError:
[2024-04-12T20:52:28.595Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.595Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.595Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.595Z] [31m[1m_____________________ test_write_read_default_crs[parquet] _____________________[0m
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_write_read_default_crs_pa0')
[2024-04-12T20:52:28.595Z] format = 'parquet'
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z]     @pytest.mark.parametrize("format", ["feather", "parquet"])
[2024-04-12T20:52:28.595Z]     def test_write_read_default_crs(tmpdir, format):
[2024-04-12T20:52:28.595Z]         if format == "feather":
[2024-04-12T20:52:28.595Z]             from pyarrow.feather import write_feather as write
[2024-04-12T20:52:28.595Z]         else:
[2024-04-12T20:52:28.595Z] >           from pyarrow.parquet import write_table as write
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:699: 
[2024-04-12T20:52:28.595Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.595Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/__init__.py[0m:20: in <module>
[2024-04-12T20:52:28.595Z]     from .core import *
[2024-04-12T20:52:28.595Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.595Z] 
[2024-04-12T20:52:28.595Z]     # Licensed to the Apache Software Foundation (ASF) under one
[2024-04-12T20:52:28.595Z]     # or more contributor license agreements.  See the NOTICE file
[2024-04-12T20:52:28.595Z]     # distributed with this work for additional information
[2024-04-12T20:52:28.595Z]     # regarding copyright ownership.  The ASF licenses this file
[2024-04-12T20:52:28.595Z]     # to you under the Apache License, Version 2.0 (the
[2024-04-12T20:52:28.596Z]     # "License"); you may not use this file except in compliance
[2024-04-12T20:52:28.596Z]     # with the License.  You may obtain a copy of the License at
[2024-04-12T20:52:28.596Z]     #
[2024-04-12T20:52:28.596Z]     #   http://www.apache.org/licenses/LICENSE-2.0
[2024-04-12T20:52:28.596Z]     #
[2024-04-12T20:52:28.596Z]     # Unless required by applicable law or agreed to in writing,
[2024-04-12T20:52:28.596Z]     # software distributed under the License is distributed on an
[2024-04-12T20:52:28.596Z]     # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
[2024-04-12T20:52:28.596Z]     # KIND, either express or implied.  See the License for the
[2024-04-12T20:52:28.596Z]     # specific language governing permissions and limitations
[2024-04-12T20:52:28.596Z]     # under the License.
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]     from collections import defaultdict
[2024-04-12T20:52:28.596Z]     from contextlib import nullcontext
[2024-04-12T20:52:28.596Z]     from functools import reduce
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]     import inspect
[2024-04-12T20:52:28.596Z]     import json
[2024-04-12T20:52:28.596Z]     import os
[2024-04-12T20:52:28.596Z]     import re
[2024-04-12T20:52:28.596Z]     import operator
[2024-04-12T20:52:28.596Z]     import warnings
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]     import pyarrow as pa
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]     try:
[2024-04-12T20:52:28.596Z]         import pyarrow._parquet as _parquet
[2024-04-12T20:52:28.596Z]     except ImportError as exc:
[2024-04-12T20:52:28.596Z] >       raise ImportError(
[2024-04-12T20:52:28.596Z]             "The pyarrow installation is not built with support "
[2024-04-12T20:52:28.596Z]             f"for the Parquet file format ({str(exc)})"
[2024-04-12T20:52:28.596Z]         ) from None
[2024-04-12T20:52:28.596Z] [1m[31mE       ImportError: The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/core.py[0m:35: ImportError
[2024-04-12T20:52:28.596Z] [31m[1m______________________________ test_write_iso_wkb ______________________________[0m
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_write_iso_wkb0')
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z]     def test_write_iso_wkb(tmpdir):
[2024-04-12T20:52:28.596Z]         gdf = geopandas.GeoDataFrame(
[2024-04-12T20:52:28.596Z]             geometry=geopandas.GeoSeries.from_wkt(["POINT Z (1 2 3)"])
[2024-04-12T20:52:28.596Z]         )
[2024-04-12T20:52:28.596Z]         if compat.USE_SHAPELY_20 and shapely.geos.geos_version > (3, 10, 0):
[2024-04-12T20:52:28.596Z] >           gdf.to_parquet(tmpdir / "test.parquet")
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:724: 
[2024-04-12T20:52:28.596Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.596Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.596Z]     _to_parquet(
[2024-04-12T20:52:28.596Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.596Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.596Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.596Z]         """
[2024-04-12T20:52:28.596Z]         Import an optional dependency.
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]         Parameters
[2024-04-12T20:52:28.596Z]         ----------
[2024-04-12T20:52:28.596Z]         name : str
[2024-04-12T20:52:28.596Z]             The module name.
[2024-04-12T20:52:28.596Z]         extra : str
[2024-04-12T20:52:28.596Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.596Z]         Returns
[2024-04-12T20:52:28.596Z]         -------
[2024-04-12T20:52:28.596Z]         module
[2024-04-12T20:52:28.596Z]         """
[2024-04-12T20:52:28.596Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.596Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.596Z]             name=name, extra=extra
[2024-04-12T20:52:28.596Z]         )
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.596Z]             raise ValueError(
[2024-04-12T20:52:28.596Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.596Z]             )
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]         try:
[2024-04-12T20:52:28.596Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]         except ImportError:
[2024-04-12T20:52:28.596Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.596Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.596Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.596Z] [31m[1m____________________ test_write_spec_version[parquet-None] _____________________[0m
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_write_spec_version_parque0')
[2024-04-12T20:52:28.596Z] format = 'parquet', schema_version = None
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.596Z]         "format,schema_version",
[2024-04-12T20:52:28.596Z]         product(["feather", "parquet"], [None] + SUPPORTED_VERSIONS),
[2024-04-12T20:52:28.596Z]     )
[2024-04-12T20:52:28.596Z]     def test_write_spec_version(tmpdir, format, schema_version):
[2024-04-12T20:52:28.596Z]         if format == "feather":
[2024-04-12T20:52:28.596Z]             from pyarrow.feather import read_table
[2024-04-12T20:52:28.596Z]         else:
[2024-04-12T20:52:28.596Z] >           from pyarrow.parquet import read_table
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:749: 
[2024-04-12T20:52:28.596Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.596Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/__init__.py[0m:20: in <module>
[2024-04-12T20:52:28.596Z]     from .core import *
[2024-04-12T20:52:28.596Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z]     # Licensed to the Apache Software Foundation (ASF) under one
[2024-04-12T20:52:28.596Z]     # or more contributor license agreements.  See the NOTICE file
[2024-04-12T20:52:28.596Z]     # distributed with this work for additional information
[2024-04-12T20:52:28.596Z]     # regarding copyright ownership.  The ASF licenses this file
[2024-04-12T20:52:28.596Z]     # to you under the Apache License, Version 2.0 (the
[2024-04-12T20:52:28.596Z]     # "License"); you may not use this file except in compliance
[2024-04-12T20:52:28.596Z]     # with the License.  You may obtain a copy of the License at
[2024-04-12T20:52:28.596Z]     #
[2024-04-12T20:52:28.596Z]     #   http://www.apache.org/licenses/LICENSE-2.0
[2024-04-12T20:52:28.596Z]     #
[2024-04-12T20:52:28.596Z]     # Unless required by applicable law or agreed to in writing,
[2024-04-12T20:52:28.596Z]     # software distributed under the License is distributed on an
[2024-04-12T20:52:28.596Z]     # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
[2024-04-12T20:52:28.596Z]     # KIND, either express or implied.  See the License for the
[2024-04-12T20:52:28.596Z]     # specific language governing permissions and limitations
[2024-04-12T20:52:28.596Z]     # under the License.
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]     from collections import defaultdict
[2024-04-12T20:52:28.596Z]     from contextlib import nullcontext
[2024-04-12T20:52:28.596Z]     from functools import reduce
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]     import inspect
[2024-04-12T20:52:28.596Z]     import json
[2024-04-12T20:52:28.596Z]     import os
[2024-04-12T20:52:28.596Z]     import re
[2024-04-12T20:52:28.596Z]     import operator
[2024-04-12T20:52:28.596Z]     import warnings
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]     import pyarrow as pa
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]     try:
[2024-04-12T20:52:28.596Z]         import pyarrow._parquet as _parquet
[2024-04-12T20:52:28.596Z]     except ImportError as exc:
[2024-04-12T20:52:28.596Z] >       raise ImportError(
[2024-04-12T20:52:28.596Z]             "The pyarrow installation is not built with support "
[2024-04-12T20:52:28.596Z]             f"for the Parquet file format ({str(exc)})"
[2024-04-12T20:52:28.596Z]         ) from None
[2024-04-12T20:52:28.596Z] [1m[31mE       ImportError: The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/core.py[0m:35: ImportError
[2024-04-12T20:52:28.596Z] [31m[1m____________________ test_write_spec_version[parquet-0.1.0] ____________________[0m
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_write_spec_version_parque1')
[2024-04-12T20:52:28.596Z] format = 'parquet', schema_version = '0.1.0'
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.596Z]         "format,schema_version",
[2024-04-12T20:52:28.596Z]         product(["feather", "parquet"], [None] + SUPPORTED_VERSIONS),
[2024-04-12T20:52:28.596Z]     )
[2024-04-12T20:52:28.596Z]     def test_write_spec_version(tmpdir, format, schema_version):
[2024-04-12T20:52:28.596Z]         if format == "feather":
[2024-04-12T20:52:28.596Z]             from pyarrow.feather import read_table
[2024-04-12T20:52:28.596Z]         else:
[2024-04-12T20:52:28.596Z] >           from pyarrow.parquet import read_table
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:749: 
[2024-04-12T20:52:28.596Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.596Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/__init__.py[0m:20: in <module>
[2024-04-12T20:52:28.596Z]     from .core import *
[2024-04-12T20:52:28.596Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z]     # Licensed to the Apache Software Foundation (ASF) under one
[2024-04-12T20:52:28.596Z]     # or more contributor license agreements.  See the NOTICE file
[2024-04-12T20:52:28.596Z]     # distributed with this work for additional information
[2024-04-12T20:52:28.596Z]     # regarding copyright ownership.  The ASF licenses this file
[2024-04-12T20:52:28.596Z]     # to you under the Apache License, Version 2.0 (the
[2024-04-12T20:52:28.596Z]     # "License"); you may not use this file except in compliance
[2024-04-12T20:52:28.596Z]     # with the License.  You may obtain a copy of the License at
[2024-04-12T20:52:28.596Z]     #
[2024-04-12T20:52:28.596Z]     #   http://www.apache.org/licenses/LICENSE-2.0
[2024-04-12T20:52:28.596Z]     #
[2024-04-12T20:52:28.596Z]     # Unless required by applicable law or agreed to in writing,
[2024-04-12T20:52:28.596Z]     # software distributed under the License is distributed on an
[2024-04-12T20:52:28.596Z]     # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
[2024-04-12T20:52:28.596Z]     # KIND, either express or implied.  See the License for the
[2024-04-12T20:52:28.596Z]     # specific language governing permissions and limitations
[2024-04-12T20:52:28.596Z]     # under the License.
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]     from collections import defaultdict
[2024-04-12T20:52:28.596Z]     from contextlib import nullcontext
[2024-04-12T20:52:28.596Z]     from functools import reduce
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]     import inspect
[2024-04-12T20:52:28.596Z]     import json
[2024-04-12T20:52:28.596Z]     import os
[2024-04-12T20:52:28.596Z]     import re
[2024-04-12T20:52:28.596Z]     import operator
[2024-04-12T20:52:28.596Z]     import warnings
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]     import pyarrow as pa
[2024-04-12T20:52:28.596Z]     
[2024-04-12T20:52:28.596Z]     try:
[2024-04-12T20:52:28.596Z]         import pyarrow._parquet as _parquet
[2024-04-12T20:52:28.596Z]     except ImportError as exc:
[2024-04-12T20:52:28.596Z] >       raise ImportError(
[2024-04-12T20:52:28.596Z]             "The pyarrow installation is not built with support "
[2024-04-12T20:52:28.596Z]             f"for the Parquet file format ({str(exc)})"
[2024-04-12T20:52:28.596Z]         ) from None
[2024-04-12T20:52:28.596Z] [1m[31mE       ImportError: The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/core.py[0m:35: ImportError
[2024-04-12T20:52:28.596Z] [31m[1m____________________ test_write_spec_version[parquet-0.4.0] ____________________[0m
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_write_spec_version_parque2')
[2024-04-12T20:52:28.596Z] format = 'parquet', schema_version = '0.4.0'
[2024-04-12T20:52:28.596Z] 
[2024-04-12T20:52:28.596Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.596Z]         "format,schema_version",
[2024-04-12T20:52:28.596Z]         product(["feather", "parquet"], [None] + SUPPORTED_VERSIONS),
[2024-04-12T20:52:28.596Z]     )
[2024-04-12T20:52:28.596Z]     def test_write_spec_version(tmpdir, format, schema_version):
[2024-04-12T20:52:28.596Z]         if format == "feather":
[2024-04-12T20:52:28.596Z]             from pyarrow.feather import read_table
[2024-04-12T20:52:28.596Z]         else:
[2024-04-12T20:52:28.597Z] >           from pyarrow.parquet import read_table
[2024-04-12T20:52:28.597Z] 
[2024-04-12T20:52:28.597Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:749: 
[2024-04-12T20:52:28.597Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.597Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/__init__.py[0m:20: in <module>
[2024-04-12T20:52:28.597Z]     from .core import *
[2024-04-12T20:52:28.597Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.597Z] 
[2024-04-12T20:52:28.597Z]     # Licensed to the Apache Software Foundation (ASF) under one
[2024-04-12T20:52:28.597Z]     # or more contributor license agreements.  See the NOTICE file
[2024-04-12T20:52:28.597Z]     # distributed with this work for additional information
[2024-04-12T20:52:28.597Z]     # regarding copyright ownership.  The ASF licenses this file
[2024-04-12T20:52:28.597Z]     # to you under the Apache License, Version 2.0 (the
[2024-04-12T20:52:28.597Z]     # "License"); you may not use this file except in compliance
[2024-04-12T20:52:28.597Z]     # with the License.  You may obtain a copy of the License at
[2024-04-12T20:52:28.597Z]     #
[2024-04-12T20:52:28.597Z]     #   http://www.apache.org/licenses/LICENSE-2.0
[2024-04-12T20:52:28.597Z]     #
[2024-04-12T20:52:28.597Z]     # Unless required by applicable law or agreed to in writing,
[2024-04-12T20:52:28.597Z]     # software distributed under the License is distributed on an
[2024-04-12T20:52:28.597Z]     # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
[2024-04-12T20:52:28.597Z]     # KIND, either express or implied.  See the License for the
[2024-04-12T20:52:28.597Z]     # specific language governing permissions and limitations
[2024-04-12T20:52:28.597Z]     # under the License.
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     from collections import defaultdict
[2024-04-12T20:52:28.597Z]     from contextlib import nullcontext
[2024-04-12T20:52:28.597Z]     from functools import reduce
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     import inspect
[2024-04-12T20:52:28.597Z]     import json
[2024-04-12T20:52:28.597Z]     import os
[2024-04-12T20:52:28.597Z]     import re
[2024-04-12T20:52:28.597Z]     import operator
[2024-04-12T20:52:28.597Z]     import warnings
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     import pyarrow as pa
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     try:
[2024-04-12T20:52:28.597Z]         import pyarrow._parquet as _parquet
[2024-04-12T20:52:28.597Z]     except ImportError as exc:
[2024-04-12T20:52:28.597Z] >       raise ImportError(
[2024-04-12T20:52:28.597Z]             "The pyarrow installation is not built with support "
[2024-04-12T20:52:28.597Z]             f"for the Parquet file format ({str(exc)})"
[2024-04-12T20:52:28.597Z]         ) from None
[2024-04-12T20:52:28.597Z] [1m[31mE       ImportError: The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.597Z] 
[2024-04-12T20:52:28.597Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/core.py[0m:35: ImportError
[2024-04-12T20:52:28.597Z] [31m[1m________________ test_write_spec_version[parquet-1.0.0-beta.1] _________________[0m
[2024-04-12T20:52:28.597Z] 
[2024-04-12T20:52:28.597Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_write_spec_version_parque3')
[2024-04-12T20:52:28.597Z] format = 'parquet', schema_version = '1.0.0-beta.1'
[2024-04-12T20:52:28.597Z] 
[2024-04-12T20:52:28.597Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.597Z]         "format,schema_version",
[2024-04-12T20:52:28.597Z]         product(["feather", "parquet"], [None] + SUPPORTED_VERSIONS),
[2024-04-12T20:52:28.597Z]     )
[2024-04-12T20:52:28.597Z]     def test_write_spec_version(tmpdir, format, schema_version):
[2024-04-12T20:52:28.597Z]         if format == "feather":
[2024-04-12T20:52:28.597Z]             from pyarrow.feather import read_table
[2024-04-12T20:52:28.597Z]         else:
[2024-04-12T20:52:28.597Z] >           from pyarrow.parquet import read_table
[2024-04-12T20:52:28.597Z] 
[2024-04-12T20:52:28.597Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:749: 
[2024-04-12T20:52:28.597Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.597Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/__init__.py[0m:20: in <module>
[2024-04-12T20:52:28.597Z]     from .core import *
[2024-04-12T20:52:28.597Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.597Z] 
[2024-04-12T20:52:28.597Z]     # Licensed to the Apache Software Foundation (ASF) under one
[2024-04-12T20:52:28.597Z]     # or more contributor license agreements.  See the NOTICE file
[2024-04-12T20:52:28.597Z]     # distributed with this work for additional information
[2024-04-12T20:52:28.597Z]     # regarding copyright ownership.  The ASF licenses this file
[2024-04-12T20:52:28.597Z]     # to you under the Apache License, Version 2.0 (the
[2024-04-12T20:52:28.597Z]     # "License"); you may not use this file except in compliance
[2024-04-12T20:52:28.597Z]     # with the License.  You may obtain a copy of the License at
[2024-04-12T20:52:28.597Z]     #
[2024-04-12T20:52:28.597Z]     #   http://www.apache.org/licenses/LICENSE-2.0
[2024-04-12T20:52:28.597Z]     #
[2024-04-12T20:52:28.597Z]     # Unless required by applicable law or agreed to in writing,
[2024-04-12T20:52:28.597Z]     # software distributed under the License is distributed on an
[2024-04-12T20:52:28.597Z]     # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
[2024-04-12T20:52:28.597Z]     # KIND, either express or implied.  See the License for the
[2024-04-12T20:52:28.597Z]     # specific language governing permissions and limitations
[2024-04-12T20:52:28.597Z]     # under the License.
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     from collections import defaultdict
[2024-04-12T20:52:28.597Z]     from contextlib import nullcontext
[2024-04-12T20:52:28.597Z]     from functools import reduce
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     import inspect
[2024-04-12T20:52:28.597Z]     import json
[2024-04-12T20:52:28.597Z]     import os
[2024-04-12T20:52:28.597Z]     import re
[2024-04-12T20:52:28.597Z]     import operator
[2024-04-12T20:52:28.597Z]     import warnings
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     import pyarrow as pa
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     try:
[2024-04-12T20:52:28.597Z]         import pyarrow._parquet as _parquet
[2024-04-12T20:52:28.597Z]     except ImportError as exc:
[2024-04-12T20:52:28.597Z] >       raise ImportError(
[2024-04-12T20:52:28.597Z]             "The pyarrow installation is not built with support "
[2024-04-12T20:52:28.597Z]             f"for the Parquet file format ({str(exc)})"
[2024-04-12T20:52:28.597Z]         ) from None
[2024-04-12T20:52:28.597Z] [1m[31mE       ImportError: The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.597Z] 
[2024-04-12T20:52:28.597Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/core.py[0m:35: ImportError
[2024-04-12T20:52:28.597Z] [31m[1m____________________ test_write_spec_version[parquet-1.0.0] ____________________[0m
[2024-04-12T20:52:28.597Z] 
[2024-04-12T20:52:28.597Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_write_spec_version_parque4')
[2024-04-12T20:52:28.597Z] format = 'parquet', schema_version = '1.0.0'
[2024-04-12T20:52:28.597Z] 
[2024-04-12T20:52:28.597Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.597Z]         "format,schema_version",
[2024-04-12T20:52:28.597Z]         product(["feather", "parquet"], [None] + SUPPORTED_VERSIONS),
[2024-04-12T20:52:28.597Z]     )
[2024-04-12T20:52:28.597Z]     def test_write_spec_version(tmpdir, format, schema_version):
[2024-04-12T20:52:28.597Z]         if format == "feather":
[2024-04-12T20:52:28.597Z]             from pyarrow.feather import read_table
[2024-04-12T20:52:28.597Z]         else:
[2024-04-12T20:52:28.597Z] >           from pyarrow.parquet import read_table
[2024-04-12T20:52:28.597Z] 
[2024-04-12T20:52:28.597Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:749: 
[2024-04-12T20:52:28.597Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.597Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/__init__.py[0m:20: in <module>
[2024-04-12T20:52:28.597Z]     from .core import *
[2024-04-12T20:52:28.597Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.597Z] 
[2024-04-12T20:52:28.597Z]     # Licensed to the Apache Software Foundation (ASF) under one
[2024-04-12T20:52:28.597Z]     # or more contributor license agreements.  See the NOTICE file
[2024-04-12T20:52:28.597Z]     # distributed with this work for additional information
[2024-04-12T20:52:28.597Z]     # regarding copyright ownership.  The ASF licenses this file
[2024-04-12T20:52:28.597Z]     # to you under the Apache License, Version 2.0 (the
[2024-04-12T20:52:28.597Z]     # "License"); you may not use this file except in compliance
[2024-04-12T20:52:28.597Z]     # with the License.  You may obtain a copy of the License at
[2024-04-12T20:52:28.597Z]     #
[2024-04-12T20:52:28.597Z]     #   http://www.apache.org/licenses/LICENSE-2.0
[2024-04-12T20:52:28.597Z]     #
[2024-04-12T20:52:28.597Z]     # Unless required by applicable law or agreed to in writing,
[2024-04-12T20:52:28.597Z]     # software distributed under the License is distributed on an
[2024-04-12T20:52:28.597Z]     # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
[2024-04-12T20:52:28.597Z]     # KIND, either express or implied.  See the License for the
[2024-04-12T20:52:28.597Z]     # specific language governing permissions and limitations
[2024-04-12T20:52:28.597Z]     # under the License.
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     from collections import defaultdict
[2024-04-12T20:52:28.597Z]     from contextlib import nullcontext
[2024-04-12T20:52:28.597Z]     from functools import reduce
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     import inspect
[2024-04-12T20:52:28.597Z]     import json
[2024-04-12T20:52:28.597Z]     import os
[2024-04-12T20:52:28.597Z]     import re
[2024-04-12T20:52:28.597Z]     import operator
[2024-04-12T20:52:28.597Z]     import warnings
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     import pyarrow as pa
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     try:
[2024-04-12T20:52:28.597Z]         import pyarrow._parquet as _parquet
[2024-04-12T20:52:28.597Z]     except ImportError as exc:
[2024-04-12T20:52:28.597Z] >       raise ImportError(
[2024-04-12T20:52:28.597Z]             "The pyarrow installation is not built with support "
[2024-04-12T20:52:28.597Z]             f"for the Parquet file format ({str(exc)})"
[2024-04-12T20:52:28.597Z]         ) from None
[2024-04-12T20:52:28.597Z] [1m[31mE       ImportError: The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.597Z] 
[2024-04-12T20:52:28.597Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/core.py[0m:35: ImportError
[2024-04-12T20:52:28.597Z] [31m[1m____________ test_write_deprecated_version_parameter[parquet-None] _____________[0m
[2024-04-12T20:52:28.597Z] 
[2024-04-12T20:52:28.597Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_write_deprecated_version_5')
[2024-04-12T20:52:28.597Z] format = 'parquet', version = None
[2024-04-12T20:52:28.597Z] 
[2024-04-12T20:52:28.597Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.597Z]         "format,version", product(["feather", "parquet"], [None] + SUPPORTED_VERSIONS)
[2024-04-12T20:52:28.597Z]     )
[2024-04-12T20:52:28.597Z]     def test_write_deprecated_version_parameter(tmpdir, format, version):
[2024-04-12T20:52:28.597Z]         if format == "feather":
[2024-04-12T20:52:28.597Z]             from pyarrow.feather import read_table
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]             version = version or 2
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]         else:
[2024-04-12T20:52:28.597Z] >           from pyarrow.parquet import read_table
[2024-04-12T20:52:28.597Z] 
[2024-04-12T20:52:28.597Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:795: 
[2024-04-12T20:52:28.597Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.597Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/__init__.py[0m:20: in <module>
[2024-04-12T20:52:28.597Z]     from .core import *
[2024-04-12T20:52:28.597Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.597Z] 
[2024-04-12T20:52:28.597Z]     # Licensed to the Apache Software Foundation (ASF) under one
[2024-04-12T20:52:28.597Z]     # or more contributor license agreements.  See the NOTICE file
[2024-04-12T20:52:28.597Z]     # distributed with this work for additional information
[2024-04-12T20:52:28.597Z]     # regarding copyright ownership.  The ASF licenses this file
[2024-04-12T20:52:28.597Z]     # to you under the Apache License, Version 2.0 (the
[2024-04-12T20:52:28.597Z]     # "License"); you may not use this file except in compliance
[2024-04-12T20:52:28.597Z]     # with the License.  You may obtain a copy of the License at
[2024-04-12T20:52:28.597Z]     #
[2024-04-12T20:52:28.597Z]     #   http://www.apache.org/licenses/LICENSE-2.0
[2024-04-12T20:52:28.597Z]     #
[2024-04-12T20:52:28.597Z]     # Unless required by applicable law or agreed to in writing,
[2024-04-12T20:52:28.597Z]     # software distributed under the License is distributed on an
[2024-04-12T20:52:28.597Z]     # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
[2024-04-12T20:52:28.597Z]     # KIND, either express or implied.  See the License for the
[2024-04-12T20:52:28.597Z]     # specific language governing permissions and limitations
[2024-04-12T20:52:28.597Z]     # under the License.
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     from collections import defaultdict
[2024-04-12T20:52:28.597Z]     from contextlib import nullcontext
[2024-04-12T20:52:28.597Z]     from functools import reduce
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     import inspect
[2024-04-12T20:52:28.597Z]     import json
[2024-04-12T20:52:28.597Z]     import os
[2024-04-12T20:52:28.597Z]     import re
[2024-04-12T20:52:28.597Z]     import operator
[2024-04-12T20:52:28.597Z]     import warnings
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     import pyarrow as pa
[2024-04-12T20:52:28.597Z]     
[2024-04-12T20:52:28.597Z]     try:
[2024-04-12T20:52:28.597Z]         import pyarrow._parquet as _parquet
[2024-04-12T20:52:28.597Z]     except ImportError as exc:
[2024-04-12T20:52:28.597Z] >       raise ImportError(
[2024-04-12T20:52:28.597Z]             "The pyarrow installation is not built with support "
[2024-04-12T20:52:28.597Z]             f"for the Parquet file format ({str(exc)})"
[2024-04-12T20:52:28.597Z]         ) from None
[2024-04-12T20:52:28.598Z] [1m[31mE       ImportError: The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/core.py[0m:35: ImportError
[2024-04-12T20:52:28.598Z] [31m[1m____________ test_write_deprecated_version_parameter[parquet-0.1.0] ____________[0m
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_write_deprecated_version_6')
[2024-04-12T20:52:28.598Z] format = 'parquet', version = '0.1.0'
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.598Z]         "format,version", product(["feather", "parquet"], [None] + SUPPORTED_VERSIONS)
[2024-04-12T20:52:28.598Z]     )
[2024-04-12T20:52:28.598Z]     def test_write_deprecated_version_parameter(tmpdir, format, version):
[2024-04-12T20:52:28.598Z]         if format == "feather":
[2024-04-12T20:52:28.598Z]             from pyarrow.feather import read_table
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]             version = version or 2
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]         else:
[2024-04-12T20:52:28.598Z] >           from pyarrow.parquet import read_table
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:795: 
[2024-04-12T20:52:28.598Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.598Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/__init__.py[0m:20: in <module>
[2024-04-12T20:52:28.598Z]     from .core import *
[2024-04-12T20:52:28.598Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z]     # Licensed to the Apache Software Foundation (ASF) under one
[2024-04-12T20:52:28.598Z]     # or more contributor license agreements.  See the NOTICE file
[2024-04-12T20:52:28.598Z]     # distributed with this work for additional information
[2024-04-12T20:52:28.598Z]     # regarding copyright ownership.  The ASF licenses this file
[2024-04-12T20:52:28.598Z]     # to you under the Apache License, Version 2.0 (the
[2024-04-12T20:52:28.598Z]     # "License"); you may not use this file except in compliance
[2024-04-12T20:52:28.598Z]     # with the License.  You may obtain a copy of the License at
[2024-04-12T20:52:28.598Z]     #
[2024-04-12T20:52:28.598Z]     #   http://www.apache.org/licenses/LICENSE-2.0
[2024-04-12T20:52:28.598Z]     #
[2024-04-12T20:52:28.598Z]     # Unless required by applicable law or agreed to in writing,
[2024-04-12T20:52:28.598Z]     # software distributed under the License is distributed on an
[2024-04-12T20:52:28.598Z]     # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
[2024-04-12T20:52:28.598Z]     # KIND, either express or implied.  See the License for the
[2024-04-12T20:52:28.598Z]     # specific language governing permissions and limitations
[2024-04-12T20:52:28.598Z]     # under the License.
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]     from collections import defaultdict
[2024-04-12T20:52:28.598Z]     from contextlib import nullcontext
[2024-04-12T20:52:28.598Z]     from functools import reduce
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]     import inspect
[2024-04-12T20:52:28.598Z]     import json
[2024-04-12T20:52:28.598Z]     import os
[2024-04-12T20:52:28.598Z]     import re
[2024-04-12T20:52:28.598Z]     import operator
[2024-04-12T20:52:28.598Z]     import warnings
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]     import pyarrow as pa
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]     try:
[2024-04-12T20:52:28.598Z]         import pyarrow._parquet as _parquet
[2024-04-12T20:52:28.598Z]     except ImportError as exc:
[2024-04-12T20:52:28.598Z] >       raise ImportError(
[2024-04-12T20:52:28.598Z]             "The pyarrow installation is not built with support "
[2024-04-12T20:52:28.598Z]             f"for the Parquet file format ({str(exc)})"
[2024-04-12T20:52:28.598Z]         ) from None
[2024-04-12T20:52:28.598Z] [1m[31mE       ImportError: The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/core.py[0m:35: ImportError
[2024-04-12T20:52:28.598Z] [31m[1m____________ test_write_deprecated_version_parameter[parquet-0.4.0] ____________[0m
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_write_deprecated_version_7')
[2024-04-12T20:52:28.598Z] format = 'parquet', version = '0.4.0'
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.598Z]         "format,version", product(["feather", "parquet"], [None] + SUPPORTED_VERSIONS)
[2024-04-12T20:52:28.598Z]     )
[2024-04-12T20:52:28.598Z]     def test_write_deprecated_version_parameter(tmpdir, format, version):
[2024-04-12T20:52:28.598Z]         if format == "feather":
[2024-04-12T20:52:28.598Z]             from pyarrow.feather import read_table
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]             version = version or 2
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]         else:
[2024-04-12T20:52:28.598Z] >           from pyarrow.parquet import read_table
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:795: 
[2024-04-12T20:52:28.598Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.598Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/__init__.py[0m:20: in <module>
[2024-04-12T20:52:28.598Z]     from .core import *
[2024-04-12T20:52:28.598Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z]     # Licensed to the Apache Software Foundation (ASF) under one
[2024-04-12T20:52:28.598Z]     # or more contributor license agreements.  See the NOTICE file
[2024-04-12T20:52:28.598Z]     # distributed with this work for additional information
[2024-04-12T20:52:28.598Z]     # regarding copyright ownership.  The ASF licenses this file
[2024-04-12T20:52:28.598Z]     # to you under the Apache License, Version 2.0 (the
[2024-04-12T20:52:28.598Z]     # "License"); you may not use this file except in compliance
[2024-04-12T20:52:28.598Z]     # with the License.  You may obtain a copy of the License at
[2024-04-12T20:52:28.598Z]     #
[2024-04-12T20:52:28.598Z]     #   http://www.apache.org/licenses/LICENSE-2.0
[2024-04-12T20:52:28.598Z]     #
[2024-04-12T20:52:28.598Z]     # Unless required by applicable law or agreed to in writing,
[2024-04-12T20:52:28.598Z]     # software distributed under the License is distributed on an
[2024-04-12T20:52:28.598Z]     # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
[2024-04-12T20:52:28.598Z]     # KIND, either express or implied.  See the License for the
[2024-04-12T20:52:28.598Z]     # specific language governing permissions and limitations
[2024-04-12T20:52:28.598Z]     # under the License.
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]     from collections import defaultdict
[2024-04-12T20:52:28.598Z]     from contextlib import nullcontext
[2024-04-12T20:52:28.598Z]     from functools import reduce
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]     import inspect
[2024-04-12T20:52:28.598Z]     import json
[2024-04-12T20:52:28.598Z]     import os
[2024-04-12T20:52:28.598Z]     import re
[2024-04-12T20:52:28.598Z]     import operator
[2024-04-12T20:52:28.598Z]     import warnings
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]     import pyarrow as pa
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]     try:
[2024-04-12T20:52:28.598Z]         import pyarrow._parquet as _parquet
[2024-04-12T20:52:28.598Z]     except ImportError as exc:
[2024-04-12T20:52:28.598Z] >       raise ImportError(
[2024-04-12T20:52:28.598Z]             "The pyarrow installation is not built with support "
[2024-04-12T20:52:28.598Z]             f"for the Parquet file format ({str(exc)})"
[2024-04-12T20:52:28.598Z]         ) from None
[2024-04-12T20:52:28.598Z] [1m[31mE       ImportError: The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/core.py[0m:35: ImportError
[2024-04-12T20:52:28.598Z] [31m[1m________ test_write_deprecated_version_parameter[parquet-1.0.0-beta.1] _________[0m
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_write_deprecated_version_8')
[2024-04-12T20:52:28.598Z] format = 'parquet', version = '1.0.0-beta.1'
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.598Z]         "format,version", product(["feather", "parquet"], [None] + SUPPORTED_VERSIONS)
[2024-04-12T20:52:28.598Z]     )
[2024-04-12T20:52:28.598Z]     def test_write_deprecated_version_parameter(tmpdir, format, version):
[2024-04-12T20:52:28.598Z]         if format == "feather":
[2024-04-12T20:52:28.598Z]             from pyarrow.feather import read_table
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]             version = version or 2
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]         else:
[2024-04-12T20:52:28.598Z] >           from pyarrow.parquet import read_table
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:795: 
[2024-04-12T20:52:28.598Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.598Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/__init__.py[0m:20: in <module>
[2024-04-12T20:52:28.598Z]     from .core import *
[2024-04-12T20:52:28.598Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z]     # Licensed to the Apache Software Foundation (ASF) under one
[2024-04-12T20:52:28.598Z]     # or more contributor license agreements.  See the NOTICE file
[2024-04-12T20:52:28.598Z]     # distributed with this work for additional information
[2024-04-12T20:52:28.598Z]     # regarding copyright ownership.  The ASF licenses this file
[2024-04-12T20:52:28.598Z]     # to you under the Apache License, Version 2.0 (the
[2024-04-12T20:52:28.598Z]     # "License"); you may not use this file except in compliance
[2024-04-12T20:52:28.598Z]     # with the License.  You may obtain a copy of the License at
[2024-04-12T20:52:28.598Z]     #
[2024-04-12T20:52:28.598Z]     #   http://www.apache.org/licenses/LICENSE-2.0
[2024-04-12T20:52:28.598Z]     #
[2024-04-12T20:52:28.598Z]     # Unless required by applicable law or agreed to in writing,
[2024-04-12T20:52:28.598Z]     # software distributed under the License is distributed on an
[2024-04-12T20:52:28.598Z]     # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
[2024-04-12T20:52:28.598Z]     # KIND, either express or implied.  See the License for the
[2024-04-12T20:52:28.598Z]     # specific language governing permissions and limitations
[2024-04-12T20:52:28.598Z]     # under the License.
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]     from collections import defaultdict
[2024-04-12T20:52:28.598Z]     from contextlib import nullcontext
[2024-04-12T20:52:28.598Z]     from functools import reduce
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]     import inspect
[2024-04-12T20:52:28.598Z]     import json
[2024-04-12T20:52:28.598Z]     import os
[2024-04-12T20:52:28.598Z]     import re
[2024-04-12T20:52:28.598Z]     import operator
[2024-04-12T20:52:28.598Z]     import warnings
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]     import pyarrow as pa
[2024-04-12T20:52:28.598Z]     
[2024-04-12T20:52:28.598Z]     try:
[2024-04-12T20:52:28.598Z]         import pyarrow._parquet as _parquet
[2024-04-12T20:52:28.598Z]     except ImportError as exc:
[2024-04-12T20:52:28.598Z] >       raise ImportError(
[2024-04-12T20:52:28.598Z]             "The pyarrow installation is not built with support "
[2024-04-12T20:52:28.598Z]             f"for the Parquet file format ({str(exc)})"
[2024-04-12T20:52:28.598Z]         ) from None
[2024-04-12T20:52:28.598Z] [1m[31mE       ImportError: The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/core.py[0m:35: ImportError
[2024-04-12T20:52:28.598Z] [31m[1m____________ test_write_deprecated_version_parameter[parquet-1.0.0] ____________[0m
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_write_deprecated_version_9')
[2024-04-12T20:52:28.598Z] format = 'parquet', version = '1.0.0'
[2024-04-12T20:52:28.598Z] 
[2024-04-12T20:52:28.598Z]     @pytest.mark.parametrize(
[2024-04-12T20:52:28.598Z]         "format,version", product(["feather", "parquet"], [None] + SUPPORTED_VERSIONS)
[2024-04-12T20:52:28.598Z]     )
[2024-04-12T20:52:28.599Z]     def test_write_deprecated_version_parameter(tmpdir, format, version):
[2024-04-12T20:52:28.599Z]         if format == "feather":
[2024-04-12T20:52:28.599Z]             from pyarrow.feather import read_table
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]             version = version or 2
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         else:
[2024-04-12T20:52:28.599Z] >           from pyarrow.parquet import read_table
[2024-04-12T20:52:28.599Z] 
[2024-04-12T20:52:28.599Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:795: 
[2024-04-12T20:52:28.599Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.599Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/__init__.py[0m:20: in <module>
[2024-04-12T20:52:28.599Z]     from .core import *
[2024-04-12T20:52:28.599Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.599Z] 
[2024-04-12T20:52:28.599Z]     # Licensed to the Apache Software Foundation (ASF) under one
[2024-04-12T20:52:28.599Z]     # or more contributor license agreements.  See the NOTICE file
[2024-04-12T20:52:28.599Z]     # distributed with this work for additional information
[2024-04-12T20:52:28.599Z]     # regarding copyright ownership.  The ASF licenses this file
[2024-04-12T20:52:28.599Z]     # to you under the Apache License, Version 2.0 (the
[2024-04-12T20:52:28.599Z]     # "License"); you may not use this file except in compliance
[2024-04-12T20:52:28.599Z]     # with the License.  You may obtain a copy of the License at
[2024-04-12T20:52:28.599Z]     #
[2024-04-12T20:52:28.599Z]     #   http://www.apache.org/licenses/LICENSE-2.0
[2024-04-12T20:52:28.599Z]     #
[2024-04-12T20:52:28.599Z]     # Unless required by applicable law or agreed to in writing,
[2024-04-12T20:52:28.599Z]     # software distributed under the License is distributed on an
[2024-04-12T20:52:28.599Z]     # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
[2024-04-12T20:52:28.599Z]     # KIND, either express or implied.  See the License for the
[2024-04-12T20:52:28.599Z]     # specific language governing permissions and limitations
[2024-04-12T20:52:28.599Z]     # under the License.
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]     from collections import defaultdict
[2024-04-12T20:52:28.599Z]     from contextlib import nullcontext
[2024-04-12T20:52:28.599Z]     from functools import reduce
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]     import inspect
[2024-04-12T20:52:28.599Z]     import json
[2024-04-12T20:52:28.599Z]     import os
[2024-04-12T20:52:28.599Z]     import re
[2024-04-12T20:52:28.599Z]     import operator
[2024-04-12T20:52:28.599Z]     import warnings
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]     import pyarrow as pa
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]     try:
[2024-04-12T20:52:28.599Z]         import pyarrow._parquet as _parquet
[2024-04-12T20:52:28.599Z]     except ImportError as exc:
[2024-04-12T20:52:28.599Z] >       raise ImportError(
[2024-04-12T20:52:28.599Z]             "The pyarrow installation is not built with support "
[2024-04-12T20:52:28.599Z]             f"for the Parquet file format ({str(exc)})"
[2024-04-12T20:52:28.599Z]         ) from None
[2024-04-12T20:52:28.599Z] [1m[31mE       ImportError: The pyarrow installation is not built with support for the Parquet file format (libthrift-0.19.0.so: cannot open shared object file: No such file or directory)[0m
[2024-04-12T20:52:28.599Z] 
[2024-04-12T20:52:28.599Z] [1m[31m/usr/lib/python3.11/site-packages/pyarrow/parquet/core.py[0m:35: ImportError
[2024-04-12T20:52:28.599Z] [31m[1m_______________________ test_read_versioned_file[0.1.0] ________________________[0m
[2024-04-12T20:52:28.599Z] 
[2024-04-12T20:52:28.599Z] version = '0.1.0'
[2024-04-12T20:52:28.599Z] 
[2024-04-12T20:52:28.599Z]     @pytest.mark.parametrize("version", ["0.1.0", "0.4.0", "1.0.0-beta.1"])
[2024-04-12T20:52:28.599Z]     def test_read_versioned_file(version):
[2024-04-12T20:52:28.599Z]         """
[2024-04-12T20:52:28.599Z]         Verify that files for different metadata spec versions can be read
[2024-04-12T20:52:28.599Z]         created for each supported version:
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         # small dummy test dataset (not naturalearth_lowres, as this can change over time)
[2024-04-12T20:52:28.599Z]         from shapely.geometry import box, MultiPolygon
[2024-04-12T20:52:28.599Z]         df = geopandas.GeoDataFrame(
[2024-04-12T20:52:28.599Z]             {"col_str": ["a", "b"], "col_int": [1, 2], "col_float": [0.1, 0.2]},
[2024-04-12T20:52:28.599Z]             geometry=[MultiPolygon([box(0, 0, 1, 1), box(2, 2, 3, 3)]), box(4, 4, 5,5)],
[2024-04-12T20:52:28.599Z]             crs="EPSG:4326",
[2024-04-12T20:52:28.599Z]         )
[2024-04-12T20:52:28.599Z]         df.to_feather(DATA_PATH / 'arrow' / f'test_data_v{METADATA_VERSION}.feather')
[2024-04-12T20:52:28.599Z]         df.to_parquet(DATA_PATH / 'arrow' / f'test_data_v{METADATA_VERSION}.parquet')
[2024-04-12T20:52:28.599Z]         """
[2024-04-12T20:52:28.599Z]         expected = geopandas.GeoDataFrame(
[2024-04-12T20:52:28.599Z]             {"col_str": ["a", "b"], "col_int": [1, 2], "col_float": [0.1, 0.2]},
[2024-04-12T20:52:28.599Z]             geometry=[MultiPolygon([box(0, 0, 1, 1), box(2, 2, 3, 3)]), box(4, 4, 5, 5)],
[2024-04-12T20:52:28.599Z]             crs="EPSG:4326",
[2024-04-12T20:52:28.599Z]         )
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         df = geopandas.read_feather(DATA_PATH / "arrow" / f"test_data_v{version}.feather")
[2024-04-12T20:52:28.599Z]         assert_geodataframe_equal(df, expected, check_crs=True)
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z] >       df = geopandas.read_parquet(DATA_PATH / "arrow" / f"test_data_v{version}.parquet")
[2024-04-12T20:52:28.599Z] 
[2024-04-12T20:52:28.599Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:850: 
[2024-04-12T20:52:28.599Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.599Z] [1m[31mgeopandas/io/arrow.py[0m:590: in _read_parquet
[2024-04-12T20:52:28.599Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.599Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.599Z] 
[2024-04-12T20:52:28.599Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.599Z] 
[2024-04-12T20:52:28.599Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.599Z]         """
[2024-04-12T20:52:28.599Z]         Import an optional dependency.
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         Parameters
[2024-04-12T20:52:28.599Z]         ----------
[2024-04-12T20:52:28.599Z]         name : str
[2024-04-12T20:52:28.599Z]             The module name.
[2024-04-12T20:52:28.599Z]         extra : str
[2024-04-12T20:52:28.599Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.599Z]         Returns
[2024-04-12T20:52:28.599Z]         -------
[2024-04-12T20:52:28.599Z]         module
[2024-04-12T20:52:28.599Z]         """
[2024-04-12T20:52:28.599Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.599Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.599Z]             name=name, extra=extra
[2024-04-12T20:52:28.599Z]         )
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.599Z]             raise ValueError(
[2024-04-12T20:52:28.599Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.599Z]             )
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         try:
[2024-04-12T20:52:28.599Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         except ImportError:
[2024-04-12T20:52:28.599Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.599Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.599Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.599Z] 
[2024-04-12T20:52:28.599Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.599Z] [31m[1m_______________________ test_read_versioned_file[0.4.0] ________________________[0m
[2024-04-12T20:52:28.599Z] 
[2024-04-12T20:52:28.599Z] version = '0.4.0'
[2024-04-12T20:52:28.599Z] 
[2024-04-12T20:52:28.599Z]     @pytest.mark.parametrize("version", ["0.1.0", "0.4.0", "1.0.0-beta.1"])
[2024-04-12T20:52:28.599Z]     def test_read_versioned_file(version):
[2024-04-12T20:52:28.599Z]         """
[2024-04-12T20:52:28.599Z]         Verify that files for different metadata spec versions can be read
[2024-04-12T20:52:28.599Z]         created for each supported version:
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         # small dummy test dataset (not naturalearth_lowres, as this can change over time)
[2024-04-12T20:52:28.599Z]         from shapely.geometry import box, MultiPolygon
[2024-04-12T20:52:28.599Z]         df = geopandas.GeoDataFrame(
[2024-04-12T20:52:28.599Z]             {"col_str": ["a", "b"], "col_int": [1, 2], "col_float": [0.1, 0.2]},
[2024-04-12T20:52:28.599Z]             geometry=[MultiPolygon([box(0, 0, 1, 1), box(2, 2, 3, 3)]), box(4, 4, 5,5)],
[2024-04-12T20:52:28.599Z]             crs="EPSG:4326",
[2024-04-12T20:52:28.599Z]         )
[2024-04-12T20:52:28.599Z]         df.to_feather(DATA_PATH / 'arrow' / f'test_data_v{METADATA_VERSION}.feather')
[2024-04-12T20:52:28.599Z]         df.to_parquet(DATA_PATH / 'arrow' / f'test_data_v{METADATA_VERSION}.parquet')
[2024-04-12T20:52:28.599Z]         """
[2024-04-12T20:52:28.599Z]         expected = geopandas.GeoDataFrame(
[2024-04-12T20:52:28.599Z]             {"col_str": ["a", "b"], "col_int": [1, 2], "col_float": [0.1, 0.2]},
[2024-04-12T20:52:28.599Z]             geometry=[MultiPolygon([box(0, 0, 1, 1), box(2, 2, 3, 3)]), box(4, 4, 5, 5)],
[2024-04-12T20:52:28.599Z]             crs="EPSG:4326",
[2024-04-12T20:52:28.599Z]         )
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         df = geopandas.read_feather(DATA_PATH / "arrow" / f"test_data_v{version}.feather")
[2024-04-12T20:52:28.599Z]         assert_geodataframe_equal(df, expected, check_crs=True)
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z] >       df = geopandas.read_parquet(DATA_PATH / "arrow" / f"test_data_v{version}.parquet")
[2024-04-12T20:52:28.599Z] 
[2024-04-12T20:52:28.599Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:850: 
[2024-04-12T20:52:28.599Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.599Z] [1m[31mgeopandas/io/arrow.py[0m:590: in _read_parquet
[2024-04-12T20:52:28.599Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.599Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.599Z] 
[2024-04-12T20:52:28.599Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.599Z] 
[2024-04-12T20:52:28.599Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.599Z]         """
[2024-04-12T20:52:28.599Z]         Import an optional dependency.
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         Parameters
[2024-04-12T20:52:28.599Z]         ----------
[2024-04-12T20:52:28.599Z]         name : str
[2024-04-12T20:52:28.599Z]             The module name.
[2024-04-12T20:52:28.599Z]         extra : str
[2024-04-12T20:52:28.599Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.599Z]         Returns
[2024-04-12T20:52:28.599Z]         -------
[2024-04-12T20:52:28.599Z]         module
[2024-04-12T20:52:28.599Z]         """
[2024-04-12T20:52:28.599Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.599Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.599Z]             name=name, extra=extra
[2024-04-12T20:52:28.599Z]         )
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.599Z]             raise ValueError(
[2024-04-12T20:52:28.599Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.599Z]             )
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         try:
[2024-04-12T20:52:28.599Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         except ImportError:
[2024-04-12T20:52:28.599Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.599Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.599Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.599Z] 
[2024-04-12T20:52:28.599Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.599Z] [31m[1m____________________ test_read_versioned_file[1.0.0-beta.1] ____________________[0m
[2024-04-12T20:52:28.599Z] 
[2024-04-12T20:52:28.599Z] version = '1.0.0-beta.1'
[2024-04-12T20:52:28.599Z] 
[2024-04-12T20:52:28.599Z]     @pytest.mark.parametrize("version", ["0.1.0", "0.4.0", "1.0.0-beta.1"])
[2024-04-12T20:52:28.599Z]     def test_read_versioned_file(version):
[2024-04-12T20:52:28.599Z]         """
[2024-04-12T20:52:28.599Z]         Verify that files for different metadata spec versions can be read
[2024-04-12T20:52:28.599Z]         created for each supported version:
[2024-04-12T20:52:28.599Z]     
[2024-04-12T20:52:28.599Z]         # small dummy test dataset (not naturalearth_lowres, as this can change over time)
[2024-04-12T20:52:28.599Z]         from shapely.geometry import box, MultiPolygon
[2024-04-12T20:52:28.599Z]         df = geopandas.GeoDataFrame(
[2024-04-12T20:52:28.599Z]             {"col_str": ["a", "b"], "col_int": [1, 2], "col_float": [0.1, 0.2]},
[2024-04-12T20:52:28.599Z]             geometry=[MultiPolygon([box(0, 0, 1, 1), box(2, 2, 3, 3)]), box(4, 4, 5,5)],
[2024-04-12T20:52:28.599Z]             crs="EPSG:4326",
[2024-04-12T20:52:28.599Z]         )
[2024-04-12T20:52:28.599Z]         df.to_feather(DATA_PATH / 'arrow' / f'test_data_v{METADATA_VERSION}.feather')
[2024-04-12T20:52:28.599Z]         df.to_parquet(DATA_PATH / 'arrow' / f'test_data_v{METADATA_VERSION}.parquet')
[2024-04-12T20:52:28.599Z]         """
[2024-04-12T20:52:28.599Z]         expected = geopandas.GeoDataFrame(
[2024-04-12T20:52:28.600Z]             {"col_str": ["a", "b"], "col_int": [1, 2], "col_float": [0.1, 0.2]},
[2024-04-12T20:52:28.600Z]             geometry=[MultiPolygon([box(0, 0, 1, 1), box(2, 2, 3, 3)]), box(4, 4, 5, 5)],
[2024-04-12T20:52:28.600Z]             crs="EPSG:4326",
[2024-04-12T20:52:28.600Z]         )
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         df = geopandas.read_feather(DATA_PATH / "arrow" / f"test_data_v{version}.feather")
[2024-04-12T20:52:28.600Z]         assert_geodataframe_equal(df, expected, check_crs=True)
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z] >       df = geopandas.read_parquet(DATA_PATH / "arrow" / f"test_data_v{version}.parquet")
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:850: 
[2024-04-12T20:52:28.600Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.600Z] [1m[31mgeopandas/io/arrow.py[0m:590: in _read_parquet
[2024-04-12T20:52:28.600Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.600Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.600Z]         """
[2024-04-12T20:52:28.600Z]         Import an optional dependency.
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         Parameters
[2024-04-12T20:52:28.600Z]         ----------
[2024-04-12T20:52:28.600Z]         name : str
[2024-04-12T20:52:28.600Z]             The module name.
[2024-04-12T20:52:28.600Z]         extra : str
[2024-04-12T20:52:28.600Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.600Z]         Returns
[2024-04-12T20:52:28.600Z]         -------
[2024-04-12T20:52:28.600Z]         module
[2024-04-12T20:52:28.600Z]         """
[2024-04-12T20:52:28.600Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.600Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.600Z]             name=name, extra=extra
[2024-04-12T20:52:28.600Z]         )
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.600Z]             raise ValueError(
[2024-04-12T20:52:28.600Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.600Z]             )
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         try:
[2024-04-12T20:52:28.600Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         except ImportError:
[2024-04-12T20:52:28.600Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.600Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.600Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.600Z] [31m[1m_____________________________ test_read_gdal_files _____________________________[0m
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z]     def test_read_gdal_files():
[2024-04-12T20:52:28.600Z]         """
[2024-04-12T20:52:28.600Z]         Verify that files written by GDAL can be read by geopandas.
[2024-04-12T20:52:28.600Z]         Since it is currently not yet straightforward to install GDAL with
[2024-04-12T20:52:28.600Z]         Parquet/Arrow enabled in our conda setup, we are testing with some
[2024-04-12T20:52:28.600Z]         generated files included in the repo (using GDAL 3.5.0):
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         # small dummy test dataset (not naturalearth_lowres, as this can change over time)
[2024-04-12T20:52:28.600Z]         from shapely.geometry import box, MultiPolygon
[2024-04-12T20:52:28.600Z]         df = geopandas.GeoDataFrame(
[2024-04-12T20:52:28.600Z]             {"col_str": ["a", "b"], "col_int": [1, 2], "col_float": [0.1, 0.2]},
[2024-04-12T20:52:28.600Z]             geometry=[MultiPolygon([box(0, 0, 1, 1), box(2, 2, 3, 3)]), box(4, 4, 5,5)],
[2024-04-12T20:52:28.600Z]             crs="EPSG:4326",
[2024-04-12T20:52:28.600Z]         )
[2024-04-12T20:52:28.600Z]         df.to_file("test_data.gpkg", GEOMETRY_NAME="geometry")
[2024-04-12T20:52:28.600Z]         and then the gpkg file is converted to Parquet/Arrow with:
[2024-04-12T20:52:28.600Z]         $ ogr2ogr -f Parquet -lco FID= test_data_gdal350.parquet test_data.gpkg
[2024-04-12T20:52:28.600Z]         $ ogr2ogr -f Arrow -lco FID= -lco GEOMETRY_ENCODING=WKB test_data_gdal350.arrow test_data.gpkg
[2024-04-12T20:52:28.600Z]         """  # noqa: E501
[2024-04-12T20:52:28.600Z]         expected = geopandas.GeoDataFrame(
[2024-04-12T20:52:28.600Z]             {"col_str": ["a", "b"], "col_int": [1, 2], "col_float": [0.1, 0.2]},
[2024-04-12T20:52:28.600Z]             geometry=[MultiPolygon([box(0, 0, 1, 1), box(2, 2, 3, 3)]), box(4, 4, 5, 5)],
[2024-04-12T20:52:28.600Z]             crs="EPSG:4326",
[2024-04-12T20:52:28.600Z]         )
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z] >       df = geopandas.read_parquet(DATA_PATH / "arrow" / "test_data_gdal350.parquet")
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:879: 
[2024-04-12T20:52:28.600Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.600Z] [1m[31mgeopandas/io/arrow.py[0m:590: in _read_parquet
[2024-04-12T20:52:28.600Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.600Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.600Z]         """
[2024-04-12T20:52:28.600Z]         Import an optional dependency.
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         Parameters
[2024-04-12T20:52:28.600Z]         ----------
[2024-04-12T20:52:28.600Z]         name : str
[2024-04-12T20:52:28.600Z]             The module name.
[2024-04-12T20:52:28.600Z]         extra : str
[2024-04-12T20:52:28.600Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.600Z]         Returns
[2024-04-12T20:52:28.600Z]         -------
[2024-04-12T20:52:28.600Z]         module
[2024-04-12T20:52:28.600Z]         """
[2024-04-12T20:52:28.600Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.600Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.600Z]             name=name, extra=extra
[2024-04-12T20:52:28.600Z]         )
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.600Z]             raise ValueError(
[2024-04-12T20:52:28.600Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.600Z]             )
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         try:
[2024-04-12T20:52:28.600Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         except ImportError:
[2024-04-12T20:52:28.600Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.600Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.600Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.600Z] [31m[1m____________________ test_parquet_read_partitioned_dataset _____________________[0m
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_parquet_read_partitioned_0')
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z]     def test_parquet_read_partitioned_dataset(tmpdir):
[2024-04-12T20:52:28.600Z]         # we don't yet explicitly support this (in writing), but for Parquet it
[2024-04-12T20:52:28.600Z]         # works for reading (by relying on pyarrow.read_table)
[2024-04-12T20:52:28.600Z]         df = read_file(get_path("naturalearth_lowres"))
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         # manually create partitioned dataset
[2024-04-12T20:52:28.600Z]         basedir = tmpdir / "partitioned_dataset"
[2024-04-12T20:52:28.600Z]         basedir.mkdir()
[2024-04-12T20:52:28.600Z] >       df[:100].to_parquet(basedir / "data1.parquet")
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:894: 
[2024-04-12T20:52:28.600Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.600Z] [1m[31mgeopandas/geodataframe.py[0m:1093: in to_parquet
[2024-04-12T20:52:28.600Z]     _to_parquet(
[2024-04-12T20:52:28.600Z] [1m[31mgeopandas/io/arrow.py[0m:324: in _to_parquet
[2024-04-12T20:52:28.600Z]     parquet = import_optional_dependency(
[2024-04-12T20:52:28.600Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z] name = 'pyarrow.parquet', extra = 'pyarrow is required for Parquet support.'
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z]     def import_optional_dependency(name: str, extra: str = ""):
[2024-04-12T20:52:28.600Z]         """
[2024-04-12T20:52:28.600Z]         Import an optional dependency.
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         Adapted from pandas.compat._optional::import_optional_dependency
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         Raises a formatted ImportError if the module is not present.
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         Parameters
[2024-04-12T20:52:28.600Z]         ----------
[2024-04-12T20:52:28.600Z]         name : str
[2024-04-12T20:52:28.600Z]             The module name.
[2024-04-12T20:52:28.600Z]         extra : str
[2024-04-12T20:52:28.600Z]             Additional text to include in the ImportError message.
[2024-04-12T20:52:28.600Z]         Returns
[2024-04-12T20:52:28.600Z]         -------
[2024-04-12T20:52:28.600Z]         module
[2024-04-12T20:52:28.600Z]         """
[2024-04-12T20:52:28.600Z]         msg = """Missing optional dependency '{name}'. {extra}  "
[2024-04-12T20:52:28.600Z]             "Use pip or conda to install {name}.""".format(
[2024-04-12T20:52:28.600Z]             name=name, extra=extra
[2024-04-12T20:52:28.600Z]         )
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         if not isinstance(name, str):
[2024-04-12T20:52:28.600Z]             raise ValueError(
[2024-04-12T20:52:28.600Z]                 "Invalid module name: '{name}'; must be a string".format(name=name)
[2024-04-12T20:52:28.600Z]             )
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         try:
[2024-04-12T20:52:28.600Z]             module = importlib.import_module(name)
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         except ImportError:
[2024-04-12T20:52:28.600Z] >           raise ImportError(msg) from None
[2024-04-12T20:52:28.600Z] [1m[31mE           ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is required for Parquet support.  "[0m
[2024-04-12T20:52:28.600Z] [1m[31mE                   "Use pip or conda to install pyarrow.parquet.[0m
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z] [1m[31mgeopandas/_compat.py[0m:230: ImportError
[2024-04-12T20:52:28.600Z] [31m[1m_________________ test_parquet_read_partitioned_dataset_fsspec _________________[0m
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z] tmpdir = local('/tmp/pytest-of-builduser/pytest-0/test_parquet_read_partitioned_1')
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z]     def test_parquet_read_partitioned_dataset_fsspec(tmpdir):
[2024-04-12T20:52:28.600Z]         fsspec = pytest.importorskip("fsspec")
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         df = read_file(get_path("naturalearth_lowres"))
[2024-04-12T20:52:28.600Z]     
[2024-04-12T20:52:28.600Z]         # manually create partitioned dataset
[2024-04-12T20:52:28.600Z] >       memfs = fsspec.filesystem("memory")
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z] [1m[31mgeopandas/io/tests/test_arrow.py[0m:907: 
[2024-04-12T20:52:28.600Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.600Z] [1m[31m/usr/lib/python3.11/site-packages/fsspec/registry.py[0m:291: in filesystem
[2024-04-12T20:52:28.600Z]     return cls(**storage_options)
[2024-04-12T20:52:28.600Z] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z] cls = <class 'geopandas.io.tests.test_arrow.test_fsspec_url.<locals>.MyMemoryFileSystem'>
[2024-04-12T20:52:28.600Z] args = (), kwargs = {}, extra_tokens = ()
[2024-04-12T20:52:28.600Z] token = '6ceb9e74898bd11d0f9272cf355c0550', skip = False
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z]     def __call__(cls, *args, **kwargs):
[2024-04-12T20:52:28.600Z]         kwargs = apply_config(cls, kwargs)
[2024-04-12T20:52:28.600Z]         extra_tokens = tuple(
[2024-04-12T20:52:28.600Z]             getattr(cls, attr, None) for attr in cls._extra_tokenize_attributes
[2024-04-12T20:52:28.600Z]         )
[2024-04-12T20:52:28.600Z]         token = tokenize(
[2024-04-12T20:52:28.600Z]             cls, cls._pid, threading.get_ident(), *args, *extra_tokens, **kwargs
[2024-04-12T20:52:28.600Z]         )
[2024-04-12T20:52:28.600Z]         skip = kwargs.pop("skip_instance_cache", False)
[2024-04-12T20:52:28.600Z]         if os.getpid() != cls._pid:
[2024-04-12T20:52:28.600Z]             cls._cache.clear()
[2024-04-12T20:52:28.600Z]             cls._pid = os.getpid()
[2024-04-12T20:52:28.600Z]         if not skip and cls.cachable and token in cls._cache:
[2024-04-12T20:52:28.600Z]             cls._latest = token
[2024-04-12T20:52:28.600Z]             return cls._cache[token]
[2024-04-12T20:52:28.600Z]         else:
[2024-04-12T20:52:28.600Z] >           obj = super().__call__(*args, **kwargs)
[2024-04-12T20:52:28.600Z] [1m[31mE           TypeError: test_fsspec_url.<locals>.MyMemoryFileSystem.__init__() missing 1 required positional argument: 'is_set'[0m
[2024-04-12T20:52:28.600Z] 
[2024-04-12T20:52:28.600Z] [1m[31m/usr/lib/python3.11/site-packages/fsspec/spec.py[0m:80: TypeError
[2024-04-12T20:52:28.600Z] [33m=============================== warnings summary ===============================[0m
[2024-04-12T20:52:28.601Z] ../../../../usr/lib/python3.11/site-packages/pandas/core/dtypes/cast.py:1641: 2 warnings
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_arrow.py: 15 warnings
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py: 66 warnings
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_infer_schema.py: 23 warnings
[2024-04-12T20:52:28.601Z] geopandas/tests/test_crs.py: 14 warnings
[2024-04-12T20:52:28.601Z] geopandas/tests/test_geodataframe.py: 36 warnings
[2024-04-12T20:52:28.601Z] geopandas/tests/test_geoseries.py: 2 warnings
[2024-04-12T20:52:28.601Z] geopandas/tests/test_overlay.py: 450 warnings
[2024-04-12T20:52:28.601Z] geopandas/tests/test_plotting.py: 1 warning
[2024-04-12T20:52:28.601Z] geopandas/tests/test_sindex.py: 9 warnings
[2024-04-12T20:52:28.601Z] geopandas/tools/tests/test_clip.py: 139 warnings
[2024-04-12T20:52:28.601Z] geopandas/tools/tests/test_sjoin.py: 9 warnings
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pandas/core/dtypes/cast.py:1641: DeprecationWarning: np.find_common_type is deprecated.  Please use `np.result_type` or `np.promote_types`.
[2024-04-12T20:52:28.601Z]   See https://numpy.org/devdocs/release/1.25.0-notes.html and the docs for more information.  (Deprecated NumPy 1.25)
[2024-04-12T20:52:28.601Z]     return np.find_common_type(types, [])
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] ../../../../usr/lib/python3.11/site-packages/pandas/core/indexes/multi.py:643: 2 warnings
[2024-04-12T20:52:28.601Z] geopandas/tests/test_dissolve.py: 2 warnings
[2024-04-12T20:52:28.601Z] geopandas/tests/test_geodataframe.py: 2 warnings
[2024-04-12T20:52:28.601Z] geopandas/tests/test_testing.py: 4 warnings
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pandas/core/indexes/multi.py:643: DeprecationWarning: `cumproduct` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `cumprod` instead.
[2024-04-12T20:52:28.601Z]     codes = cartesian_product(codes)
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] ../../../../usr/lib/python3.11/site-packages/pandas/core/reshape/util.py:60: 5 warnings
[2024-04-12T20:52:28.601Z] geopandas/tests/test_dissolve.py: 4 warnings
[2024-04-12T20:52:28.601Z] geopandas/tests/test_geodataframe.py: 4 warnings
[2024-04-12T20:52:28.601Z] geopandas/tests/test_testing.py: 8 warnings
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pandas/core/reshape/util.py:60: DeprecationWarning: `product` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `prod` instead.
[2024-04-12T20:52:28.601Z]     return [
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py: 42 warnings
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/_pytest/python.py:195: DeprecationWarning: `alltrue` is deprecated as of NumPy 1.25.0, and will be removed in NumPy 2.0. Please use `all` instead.
[2024-04-12T20:52:28.601Z]     result = testfunction(**testargs)
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py: 13 warnings
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:456: RuntimeWarning: Value 1623819823.80999994 of field Shape_Area of feature 0 not successfully written. Possibly due to too larger number with respect to field width
[2024-04-12T20:52:28.601Z]     ogr_write(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py: 13 warnings
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:456: RuntimeWarning: Value 3045212795.19999981 of field Shape_Area of feature 1 not successfully written. Possibly due to too larger number with respect to field width
[2024-04-12T20:52:28.601Z]     ogr_write(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py: 13 warnings
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:456: RuntimeWarning: Value 1937478507.6099999 of field Shape_Area of feature 2 not successfully written. Possibly due to too larger number with respect to field width
[2024-04-12T20:52:28.601Z]     ogr_write(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py: 13 warnings
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:456: RuntimeWarning: Value 636471539.774000049 of field Shape_Area of feature 3 not successfully written. Possibly due to too larger number with respect to field width
[2024-04-12T20:52:28.601Z]     ogr_write(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py: 13 warnings
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:456: RuntimeWarning: Value 1186924686.49000001 of field Shape_Area of feature 4 not successfully written. Possibly due to too larger number with respect to field width
[2024-04-12T20:52:28.601Z]     ogr_write(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_to_file_int32[pyogrio-ESRI Shapefile-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_to_file_int32[pyogrio-ESRI Shapefile-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_to_file_int64[pyogrio-ESRI Shapefile-.shp]
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:137: RuntimeWarning: driver ESRI Shapefile does not support open option DRIVER
[2024-04-12T20:52:28.601Z]     result = ogr_read(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_to_file_int32[pyogrio-GeoJSON-.geojson]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_to_file_int32[pyogrio-GeoJSON-.geojson]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_to_file_int64[pyogrio-GeoJSON-.geojson]
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:137: RuntimeWarning: driver GeoJSON does not support open option DRIVER
[2024-04-12T20:52:28.601Z]     result = ogr_read(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_to_file_int32[pyogrio-GPKG-.gpkg]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_to_file_int32[pyogrio-GPKG-.gpkg]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_to_file_int64[pyogrio-GPKG-.gpkg]
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:137: RuntimeWarning: driver GPKG does not support open option DRIVER
[2024-04-12T20:52:28.601Z]     result = ogr_read(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_to_file_column_len[pyogrio]
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:456: RuntimeWarning: Normalized/laundered field name: '0123456789A' to '0123456789'
[2024-04-12T20:52:28.601Z]     ogr_write(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-ESRI Shapefile-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-ESRI Shapefile-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-]
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:456: RuntimeWarning: Value 1623819823.80999994 of field Shape_Area of feature 5 not successfully written. Possibly due to too larger number with respect to field width
[2024-04-12T20:52:28.601Z]     ogr_write(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-ESRI Shapefile-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-ESRI Shapefile-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-]
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:456: RuntimeWarning: Value 3045212795.19999981 of field Shape_Area of feature 6 not successfully written. Possibly due to too larger number with respect to field width
[2024-04-12T20:52:28.601Z]     ogr_write(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-ESRI Shapefile-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-ESRI Shapefile-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-]
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:456: RuntimeWarning: Value 1937478507.6099999 of field Shape_Area of feature 7 not successfully written. Possibly due to too larger number with respect to field width
[2024-04-12T20:52:28.601Z]     ogr_write(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-ESRI Shapefile-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-ESRI Shapefile-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-]
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:456: RuntimeWarning: Value 636471539.774000049 of field Shape_Area of feature 8 not successfully written. Possibly due to too larger number with respect to field width
[2024-04-12T20:52:28.601Z]     ogr_write(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-ESRI Shapefile-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-ESRI Shapefile-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_append_file[pyogrio-None-]
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:456: RuntimeWarning: Value 1186924686.49000001 of field Shape_Area of feature 9 not successfully written. Possibly due to too larger number with respect to field width
[2024-04-12T20:52:28.601Z]     ogr_write(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_empty_crs[pyogrio-ESRI Shapefile-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_empty_crs[pyogrio-GeoJSON-.geojson]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_empty_crs[pyogrio-None-.shp]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_empty_crs[pyogrio-None-]
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py::test_empty_crs[pyogrio-None-.geojson]
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:431: UserWarning: 'crs' was not provided.  The output dataset will not have projection information defined and may not be usable in other systems.
[2024-04-12T20:52:28.601Z]     warnings.warn(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file.py: 4 warnings
[2024-04-12T20:52:28.601Z] geopandas/tests/test_geodataframe.py: 194 warnings
[2024-04-12T20:52:28.601Z] geopandas/tests/test_overlay.py: 1762 warnings
[2024-04-12T20:52:28.601Z] geopandas/tests/test_pandas_methods.py: 16 warnings
[2024-04-12T20:52:28.601Z] geopandas/tools/tests/test_clip.py: 133 warnings
[2024-04-12T20:52:28.601Z] geopandas/tools/tests/test_sjoin.py: 472 warnings
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pandas/core/algorithms.py:522: DeprecationWarning: np.find_common_type is deprecated.  Please use `np.result_type` or `np.promote_types`.
[2024-04-12T20:52:28.601Z]   See https://numpy.org/devdocs/release/1.25.0-notes.html and the docs for more information.  (Deprecated NumPy 1.25)
[2024-04-12T20:52:28.601Z]     common = np.find_common_type([values.dtype, comps_array.dtype], [])
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file_geom_types_drivers.py: 14 warnings
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:456: RuntimeWarning: The filename extension should be 'gpkg' instead of '' to conform to the GPKG specification.
[2024-04-12T20:52:28.601Z]     ogr_write(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file_geom_types_drivers.py::test_to_file_roundtrip[geodataframe0-GPKG-pyogrio]
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:137: RuntimeWarning: File /tmp/pytest-of-builduser/pytest-0/test_to_file_roundtrip_geodata5/output_file has GPKG application_id, but non conformant file extension
[2024-04-12T20:52:28.601Z]     result = ogr_read(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file_geom_types_drivers.py::test_to_file_roundtrip[geodataframe1-GPKG-pyogrio]
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:137: RuntimeWarning: File /tmp/pytest-of-builduser/pytest-0/test_to_file_roundtrip_geodata13/output_file has GPKG application_id, but non conformant file extension
[2024-04-12T20:52:28.601Z]     result = ogr_read(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file_geom_types_drivers.py::test_to_file_roundtrip[geodataframe2-GPKG-pyogrio]
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:137: RuntimeWarning: File /tmp/pytest-of-builduser/pytest-0/test_to_file_roundtrip_geodata21/output_file has GPKG application_id, but non conformant file extension
[2024-04-12T20:52:28.601Z]     result = ogr_read(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file_geom_types_drivers.py::test_to_file_roundtrip[geodataframe3-GPKG-pyogrio]
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:137: RuntimeWarning: File /tmp/pytest-of-builduser/pytest-0/test_to_file_roundtrip_geodata29/output_file has GPKG application_id, but non conformant file extension
[2024-04-12T20:52:28.601Z]     result = ogr_read(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file_geom_types_drivers.py::test_to_file_roundtrip[geodataframe4-GPKG-pyogrio]
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:137: RuntimeWarning: File /tmp/pytest-of-builduser/pytest-0/test_to_file_roundtrip_geodata37/output_file has GPKG application_id, but non conformant file extension
[2024-04-12T20:52:28.601Z]     result = ogr_read(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file_geom_types_drivers.py::test_to_file_roundtrip[geodataframe5-GPKG-pyogrio]
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:137: RuntimeWarning: File /tmp/pytest-of-builduser/pytest-0/test_to_file_roundtrip_geodata45/output_file has GPKG application_id, but non conformant file extension
[2024-04-12T20:52:28.601Z]     result = ogr_read(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.601Z] geopandas/io/tests/test_file_geom_types_drivers.py::test_to_file_roundtrip[geodataframe6-GPKG-pyogrio]
[2024-04-12T20:52:28.601Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:137: RuntimeWarning: File /tmp/pytest-of-builduser/pytest-0/test_to_file_roundtrip_geodata53/output_file has GPKG application_id, but non conformant file extension
[2024-04-12T20:52:28.601Z]     result = ogr_read(
[2024-04-12T20:52:28.601Z] 
[2024-04-12T20:52:28.602Z] geopandas/io/tests/test_file_geom_types_drivers.py::test_to_file_roundtrip[geodataframe7-GPKG-pyogrio]
[2024-04-12T20:52:28.602Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:137: RuntimeWarning: File /tmp/pytest-of-builduser/pytest-0/test_to_file_roundtrip_geodata61/output_file has GPKG application_id, but non conformant file extension
[2024-04-12T20:52:28.602Z]     result = ogr_read(
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/io/tests/test_file_geom_types_drivers.py::test_to_file_roundtrip[geodataframe8-GPKG-pyogrio]
[2024-04-12T20:52:28.602Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:137: RuntimeWarning: File /tmp/pytest-of-builduser/pytest-0/test_to_file_roundtrip_geodata69/output_file has GPKG application_id, but non conformant file extension
[2024-04-12T20:52:28.602Z]     result = ogr_read(
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/io/tests/test_file_geom_types_drivers.py::test_to_file_roundtrip[geodataframe9-GPKG-pyogrio]
[2024-04-12T20:52:28.602Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:137: RuntimeWarning: File /tmp/pytest-of-builduser/pytest-0/test_to_file_roundtrip_geodata77/output_file has GPKG application_id, but non conformant file extension
[2024-04-12T20:52:28.602Z]     result = ogr_read(
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/io/tests/test_file_geom_types_drivers.py::test_to_file_roundtrip[geodataframe10-GPKG-pyogrio]
[2024-04-12T20:52:28.602Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:137: RuntimeWarning: File /tmp/pytest-of-builduser/pytest-0/test_to_file_roundtrip_geodata85/output_file has GPKG application_id, but non conformant file extension
[2024-04-12T20:52:28.602Z]     result = ogr_read(
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/io/tests/test_file_geom_types_drivers.py::test_to_file_roundtrip[geodataframe11-GPKG-pyogrio]
[2024-04-12T20:52:28.602Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:137: RuntimeWarning: File /tmp/pytest-of-builduser/pytest-0/test_to_file_roundtrip_geodata93/output_file has GPKG application_id, but non conformant file extension
[2024-04-12T20:52:28.602Z]     result = ogr_read(
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/io/tests/test_file_geom_types_drivers.py::test_to_file_roundtrip[geodataframe12-GPKG-pyogrio]
[2024-04-12T20:52:28.602Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:137: RuntimeWarning: File /tmp/pytest-of-builduser/pytest-0/test_to_file_roundtrip_geodata101/output_file has GPKG application_id, but non conformant file extension
[2024-04-12T20:52:28.602Z]     result = ogr_read(
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/io/tests/test_file_geom_types_drivers.py::test_to_file_roundtrip[geodataframe13-GPKG-pyogrio]
[2024-04-12T20:52:28.602Z]   /usr/lib/python3.11/site-packages/pyogrio/raw.py:137: RuntimeWarning: File /tmp/pytest-of-builduser/pytest-0/test_to_file_roundtrip_geodata109/output_file has GPKG application_id, but non conformant file extension
[2024-04-12T20:52:28.602Z]     result = ogr_read(
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_array.py::test_predicates_vector_scalar[geom_almost_equals-args10]
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/tests/test_array.py:291: FutureWarning: The 'geom_almost_equals()' method is deprecated because the name is confusing. The 'geom_equals_exact()' method should be used instead.
[2024-04-12T20:52:28.602Z]     result = getattr(T, attr)(other, *args)
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_array.py::test_predicates_vector_scalar[geom_almost_equals-args10]
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/tests/test_array.py:296: ShapelyDeprecationWarning: The 'almost_equals()' method is deprecated and will be removed in Shapely 2.1; use 'equals_exact()' instead
[2024-04-12T20:52:28.602Z]     getattr(tri, attr if "geom" not in attr else attr[5:])(other, *args)
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_array.py::test_predicates_vector_vector[geom_almost_equals-args10]
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/tests/test_array.py:345: FutureWarning: The 'geom_almost_equals()' method is deprecated because the name is confusing. The 'geom_equals_exact()' method should be used instead.
[2024-04-12T20:52:28.602Z]     result = getattr(vec_A, attr)(vec_B, *args)
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_array.py::test_predicates_vector_vector[geom_almost_equals-args10]
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/tests/test_array.py:357: ShapelyDeprecationWarning: The 'almost_equals()' method is deprecated and will be removed in Shapely 2.1; use 'equals_exact()' instead
[2024-04-12T20:52:28.602Z]     getattr(a, attr if "geom" not in attr else attr[5:])(b, *args)
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_array.py::test_total_bounds
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/array.py:1019: RuntimeWarning: All-NaN slice encountered
[2024-04-12T20:52:28.602Z]     np.nanmin(b[:, 0]),  # minx
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_array.py::test_total_bounds
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/array.py:1020: RuntimeWarning: All-NaN slice encountered
[2024-04-12T20:52:28.602Z]     np.nanmin(b[:, 1]),  # miny
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_array.py::test_total_bounds
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/array.py:1021: RuntimeWarning: All-NaN slice encountered
[2024-04-12T20:52:28.602Z]     np.nanmax(b[:, 2]),  # maxx
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_array.py::test_total_bounds
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/array.py:1022: RuntimeWarning: All-NaN slice encountered
[2024-04-12T20:52:28.602Z]     np.nanmax(b[:, 3]),  # maxy
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_crs.py::test_to_crs_dimension_mixed
[2024-04-12T20:52:28.602Z] geopandas/tests/test_crs.py::test_to_crs_dimension_mixed
[2024-04-12T20:52:28.602Z] geopandas/tests/test_crs.py::test_to_crs_dimension_mixed
[2024-04-12T20:52:28.602Z] geopandas/tests/test_crs.py::test_to_crs_dimension_mixed
[2024-04-12T20:52:28.602Z] geopandas/tests/test_crs.py::test_crs_axis_order__always_xy
[2024-04-12T20:52:28.602Z] geopandas/tests/test_crs.py::test_crs_axis_order__always_xy
[2024-04-12T20:52:28.602Z]   /usr/lib/python3.11/site-packages/pyproj/transformer.py:820: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)
[2024-04-12T20:52:28.602Z]     return self._transformer._transform_point(
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_crs.py::TestGeometryArrayCRS::test_dataframe
[2024-04-12T20:52:28.602Z]   /usr/lib/python3.11/site-packages/pandas/core/frame.py:4889: UserWarning: Geometry column does not contain geometry.
[2024-04-12T20:52:28.602Z]     data[k] = com.apply_if_callable(v, data)
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_dissolve.py::test_mean_dissolve
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/geodataframe.py:1790: FutureWarning: The operation <function mean at 0x7cb218009760> failed on a column. If any error is raised, this will raise an exception in a future version of pandas. Drop these columns to avoid this warning.
[2024-04-12T20:52:28.602Z]     aggregated_data = data.groupby(**groupby_kwargs).agg(aggfunc, **kwargs)
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_extension_array.py::TestDtype::test_is_not_string_type
[2024-04-12T20:52:28.602Z]   /usr/lib/python3.11/site-packages/_pytest/python.py:199: PytestReturnNotNoneWarning: Expected None, but geopandas/tests/test_extension_array.py::TestDtype::test_is_not_string_type returned False, which will be an error in a future version of pytest.  Did you mean to use `assert` instead of `return`?
[2024-04-12T20:52:28.602Z]     warnings.warn(
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_extension_array.py::TestDtype::test_is_not_object_type
[2024-04-12T20:52:28.602Z]   /usr/lib/python3.11/site-packages/_pytest/python.py:199: PytestReturnNotNoneWarning: Expected None, but geopandas/tests/test_extension_array.py::TestDtype::test_is_not_object_type returned True, which will be an error in a future version of pytest.  Did you mean to use `assert` instead of `return`?
[2024-04-12T20:52:28.602Z]     warnings.warn(
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_geodataframe.py: 24 warnings
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/array.py:365: UserWarning: Geometry is in a geographic CRS. Results from 'sjoin_nearest' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.
[2024-04-12T20:52:28.602Z]   
[2024-04-12T20:52:28.602Z]     warnings.warn(
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_geodataframe.py::TestConstructor::test_default_geo_colname_none
[2024-04-12T20:52:28.602Z]   /usr/lib/python3.11/site-packages/pandas/core/frame.py:4889: FutureWarning: You are adding a column named 'geometry' to a GeoDataFrame constructed without an active geometry column. Currently, this automatically sets the active geometry column to 'geometry' but in the future that will no longer happen. Instead, either provide geometry to the GeoDataFrame constructor (GeoDataFrame(... geometry=GeoSeries()) or use `set_geometry('geometry')` to explicitly set the active geometry column.
[2024-04-12T20:52:28.602Z]     data[k] = com.apply_if_callable(v, data)
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_geom_methods.py::TestGeomMethods::test_minimum_rotated_rectangle
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/tests/test_geom_methods.py:1304: UserWarning: CRS mismatch between the CRS of left geometries and the CRS of right geometries.
[2024-04-12T20:52:28.602Z]   Use `to_crs()` to reproject one of the input geometries to match the CRS of the other.
[2024-04-12T20:52:28.602Z]   
[2024-04-12T20:52:28.602Z]   Left CRS: EPSG:3857
[2024-04-12T20:52:28.602Z]   Right CRS: None
[2024-04-12T20:52:28.602Z]   
[2024-04-12T20:52:28.602Z]     assert np.all(r.normalize().geom_equals_exact(exp, 0.001))
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_geom_methods.py::TestGeomMethods::test_minimum_bounding_circle
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/tests/test_geom_methods.py:1336: FutureWarning: The 'geom_almost_equals()' method is deprecated because the name is confusing. The 'geom_equals_exact()' method should be used instead.
[2024-04-12T20:52:28.602Z]     assert np.all(mbc.centroid.geom_almost_equals(centers, 0.001))
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_geoseries.py::TestSeries::test_geom_almost_equals
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/tests/test_geoseries.py:155: UserWarning: The indices of the two GeoSeries are different.
[2024-04-12T20:52:28.602Z]     self.a1.geom_almost_equals(self.a2, align=True), [False, True, False]
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_geoseries.py::TestSeries::test_geom_equals_exact
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/tests/test_geoseries.py:167: UserWarning: The indices of the two GeoSeries are different.
[2024-04-12T20:52:28.602Z]     self.a1.geom_equals_exact(self.a2, 0.001, align=True), [False, True, False]
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_merge.py::TestMerging::test_concat_axis0_unaligned_cols
[2024-04-12T20:52:28.602Z] geopandas/tests/test_merge.py::TestMerging::test_concat_axis0_unaligned_cols
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/tests/test_merge.py:136: SettingWithCopyWarning: 
[2024-04-12T20:52:28.602Z]   A value is trying to be set on a copy of a slice from a DataFrame
[2024-04-12T20:52:28.602Z]   
[2024-04-12T20:52:28.602Z]   See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
[2024-04-12T20:52:28.602Z]     partial_none_case.iloc[0] = None
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_overlay.py::test_keep_geom_type_geometry_collection
[2024-04-12T20:52:28.602Z] geopandas/tests/test_overlay.py::test_keep_geom_type_geometry_collection
[2024-04-12T20:52:28.602Z] geopandas/tests/test_overlay.py::test_keep_geom_type_geometry_collection_difference
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/tools/overlay.py:366: DeprecationWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`
[2024-04-12T20:52:28.602Z]     result.loc[is_collection, geom_col] = dissolved[geom_col].values
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_overlay.py::test_keep_geom_type_geomcoll_different_types
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/geodataframe.py:1813: FutureWarning: `unary_union` returned None due to all-None GeoSeries. In future, `unary_union` will return 'GEOMETRYCOLLECTION EMPTY' instead.
[2024-04-12T20:52:28.602Z]     merged_geom = block.unary_union
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_pandas_methods.py::test_numerical_operations
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/tests/test_pandas_methods.py:335: FutureWarning: The default value of numeric_only in GeoDataFrame.sum is deprecated. In a future version, it will default to False. In addition, specifying 'numeric_only=None' is deprecated. Select only valid columns or specify the value of numeric_only to silence this warning.
[2024-04-12T20:52:28.602Z]     res = df.sum()
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.602Z] geopandas/tests/test_pandas_methods.py::test_groupby
[2024-04-12T20:52:28.602Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/tests/test_pandas_methods.py:631: FutureWarning: The default value of numeric_only in DataFrameGroupBy.sum is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.
[2024-04-12T20:52:28.602Z]     res = df.groupby("value2").sum()
[2024-04-12T20:52:28.602Z] 
[2024-04-12T20:52:28.603Z] geopandas/tools/tests/test_clip.py: 12 warnings
[2024-04-12T20:52:28.603Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/tools/clip.py:67: DeprecationWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`
[2024-04-12T20:52:28.603Z]     clipped.loc[
[2024-04-12T20:52:28.603Z] 
[2024-04-12T20:52:28.603Z] geopandas/tools/tests/test_clip.py: 22 warnings
[2024-04-12T20:52:28.603Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/tools/clip.py:63: DeprecationWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`
[2024-04-12T20:52:28.603Z]     clipped.loc[
[2024-04-12T20:52:28.603Z] 
[2024-04-12T20:52:28.603Z] geopandas/tools/tests/test_random.py::test_uniform[geom0-10]
[2024-04-12T20:52:28.603Z] geopandas/tools/tests/test_random.py::test_uniform[geom0-100]
[2024-04-12T20:52:28.603Z] geopandas/tools/tests/test_random.py::test_uniform[geom1-10]
[2024-04-12T20:52:28.603Z] geopandas/tools/tests/test_random.py::test_uniform[geom1-100]
[2024-04-12T20:52:28.603Z] geopandas/tools/tests/test_random.py::test_uniform[geom2-10]
[2024-04-12T20:52:28.603Z] geopandas/tools/tests/test_random.py::test_uniform[geom2-100]
[2024-04-12T20:52:28.603Z] geopandas/tools/tests/test_random.py::test_uniform[geom3-10]
[2024-04-12T20:52:28.603Z] geopandas/tools/tests/test_random.py::test_uniform[geom3-100]
[2024-04-12T20:52:28.603Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/tools/tests/test_random.py:25: FutureWarning: Currently, index_parts defaults to True, but in the future, it will default to False to be consistent with Pandas. Use `index_parts=True` to keep the current behavior and True/False to silence the warning.
[2024-04-12T20:52:28.603Z]     sample_series = geopandas.GeoSeries(sample).explode().reset_index(drop=True)
[2024-04-12T20:52:28.603Z] 
[2024-04-12T20:52:28.603Z] geopandas/tools/tests/test_sjoin.py::TestSpatialJoinNYBB::test_sjoin_empty_geometries
[2024-04-12T20:52:28.603Z] geopandas/tools/tests/test_sjoin.py::TestSpatialJoinNYBB::test_sjoin_empty_geometries
[2024-04-12T20:52:28.603Z]   /build/python-geopandas/src/geopandas-0.14.3/geopandas/array.py:1459: UserWarning: CRS not set for some of the concatenation inputs. Setting output's CRS as NAD83 / New York Long Island (ftUS) (the single non-null crs provided).
[2024-04-12T20:52:28.603Z]     return GeometryArray(data, crs=_get_common_crs(to_concat))
[2024-04-12T20:52:28.603Z] 
[2024-04-12T20:52:28.603Z] -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
[2024-04-12T20:52:28.603Z] [36m[1m=========================== short test summary info ============================[0m
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_pandas_parquet_roundtrip1[0m - ImportError: Unable to find a usable engine; tried using: 'pyarrow', 'fastp...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_pandas_parquet_roundtrip2[naturalearth_lowres][0m - ImportError: Unable to find a usable engine; tried using: 'pyarrow', 'fastp...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_pandas_parquet_roundtrip2[naturalearth_cities][0m - ImportError: Unable to find a usable engine; tried using: 'pyarrow', 'fastp...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_pandas_parquet_roundtrip2[nybb][0m - ImportError: Unable to find a usable engine; tried using: 'pyarrow', 'fastp...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_roundtrip[parquet-naturalearth_lowres][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_roundtrip[parquet-naturalearth_cities][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_roundtrip[parquet-nybb][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_index[parquet][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_parquet_compression[snappy][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_parquet_compression[gzip][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_parquet_compression[brotli][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_parquet_compression[None][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_parquet_multiple_geom_cols[parquet][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_parquet_missing_metadata[0m - ImportError: Unable to find a usable engine; tried using: 'pyarrow', 'fastp...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_parquet_missing_metadata2[0m - ImportError: The pyarrow installation is not built with support for the Par...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_parquet_invalid_metadata[geo_meta0-Missing or malformed geo metadata in Parquet/Feather file][0m - ImportError: The pyarrow installation is not built with support for the Par...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_parquet_invalid_metadata[geo_meta1-Missing or malformed geo metadata in Parquet/Feather file][0m - ImportError: The pyarrow installation is not built with support for the Par...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_parquet_invalid_metadata[geo_meta2-'geo' metadata in Parquet/Feather file is missing required key][0m - ImportError: The pyarrow installation is not built with support for the Par...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_subset_columns[parquet][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_promote_secondary_geometry[parquet][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_columns_no_geometry[parquet][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_missing_crs[parquet][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_default_geo_col_writes[0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_fsspec_url[0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_non_fsspec_url_with_storage_options_raises[0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_write_read_parquet_expand_user[0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_write_empty_bbox[geometry0][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_write_empty_bbox[geometry1][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_write_read_default_crs[parquet][0m - ImportError: The pyarrow installation is not built with support for the Par...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_write_iso_wkb[0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_write_spec_version[parquet-None][0m - ImportError: The pyarrow installation is not built with support for the Par...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_write_spec_version[parquet-0.1.0][0m - ImportError: The pyarrow installation is not built with support for the Par...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_write_spec_version[parquet-0.4.0][0m - ImportError: The pyarrow installation is not built with support for the Par...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_write_spec_version[parquet-1.0.0-beta.1][0m - ImportError: The pyarrow installation is not built with support for the Par...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_write_spec_version[parquet-1.0.0][0m - ImportError: The pyarrow installation is not built with support for the Par...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_write_deprecated_version_parameter[parquet-None][0m - ImportError: The pyarrow installation is not built with support for the Par...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_write_deprecated_version_parameter[parquet-0.1.0][0m - ImportError: The pyarrow installation is not built with support for the Par...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_write_deprecated_version_parameter[parquet-0.4.0][0m - ImportError: The pyarrow installation is not built with support for the Par...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_write_deprecated_version_parameter[parquet-1.0.0-beta.1][0m - ImportError: The pyarrow installation is not built with support for the Par...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_write_deprecated_version_parameter[parquet-1.0.0][0m - ImportError: The pyarrow installation is not built with support for the Par...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_read_versioned_file[0.1.0][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_read_versioned_file[0.4.0][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_read_versioned_file[1.0.0-beta.1][0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_read_gdal_files[0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_parquet_read_partitioned_dataset[0m - ImportError: Missing optional dependency 'pyarrow.parquet'. pyarrow is requ...
[2024-04-12T20:52:28.603Z] [31mFAILED[0m geopandas/io/tests/test_arrow.py::[1mtest_parquet_read_partitioned_dataset_fsspec[0m - TypeError: test_fsspec_url.<locals>.MyMemoryFileSystem.__init__() missing 1...
[2024-04-12T20:52:28.603Z] [31m= [31m[1m46 failed[0m, [32m2060 passed[0m, [33m120 skipped[0m, [33m3 deselected[0m, [33m14 xfailed[0m, [33m2 xpassed[0m, [33m3657 warnings[0m[31m in 147.20s (0:02:27)[0m[31m =[0m
[2024-04-12T20:52:29.514Z] ==> ERROR: A failure occurred in check().
[2024-04-12T20:52:29.514Z]     Aborting...
[2024-04-12T20:52:31.996Z] ==> ERROR: Build failed, check /build/buildpkg/world-x86_64/jenkins/build
[Pipeline] }
[2024-04-12T20:52:31.999Z] ERROR: Failed to build source
[2024-04-12T20:52:31.999Z] ERROR: script returned exit code 255
[Pipeline] // catchError
[Pipeline] }
[Pipeline] // stage
[Pipeline] stage
[Pipeline] { (Check)
Stage "Check" skipped due to when conditional
[Pipeline] getContext
[Pipeline] }
[Pipeline] // stage
[Pipeline] stage
[Pipeline] { (Sign)
Stage "Sign" skipped due to when conditional
[Pipeline] getContext
[Pipeline] }
[Pipeline] // stage
[Pipeline] stage
[Pipeline] { (Add)
Stage "Add" skipped due to when conditional
[Pipeline] getContext
[Pipeline] }
[Pipeline] // stage
[Pipeline] stage
[Pipeline] { (Remove)
Stage "Remove" skipped due to when conditional
[Pipeline] getContext
[Pipeline] }
[Pipeline] // stage
[Pipeline] stage
[Pipeline] { (Declarative: Post Actions)
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[2024-04-12T20:52:32.171Z] Sending email to: artix-build-failures at artixlinux.org
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