Warning: Permanently added '13.222.25.13' (ED25519) to the list of known hosts. You can reproduce this build on your computer by running: sudo dnf install copr-rpmbuild /usr/bin/copr-rpmbuild --verbose --drop-resultdir --task-url https://copr.fedorainfracloud.org/backend/get-build-task/9294106-fedora-41-x86_64 --chroot fedora-41-x86_64 Version: 1.3 PID: 9176 Logging PID: 9177 Task: {'allow_user_ssh': False, 'appstream': False, 'background': True, 'build_id': 9294106, 'buildroot_pkgs': [], 'chroot': 'fedora-41-x86_64', 'enable_net': False, 'fedora_review': False, 'git_hash': 'ba53d7907da9cb2aab2825be16361495d9e8f990', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/thrnciar/python-greenlet/python-geopandas', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'python-geopandas', 'package_version': '1.1.0-3', 'project_dirname': 'python-greenlet', 'project_name': 'python-greenlet', 'project_owner': 'thrnciar', 'repo_priority': None, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/thrnciar/python-greenlet/fedora-41-x86_64/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}], 'sandbox': 'thrnciar/python-greenlet--https://src.fedoraproject.org/user/ksurma', 'source_json': {}, 'source_type': None, 'ssh_public_keys': None, 'storage': None, 'submitter': 'https://src.fedoraproject.org/user/ksurma', 'tags': [], 'task_id': '9294106-fedora-41-x86_64', 'timeout': 18000, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/thrnciar/python-greenlet/python-geopandas /var/lib/copr-rpmbuild/workspace/workdir-4ncw31ko/python-geopandas --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/thrnciar/python-greenlet/python-geopandas', '/var/lib/copr-rpmbuild/workspace/workdir-4ncw31ko/python-geopandas', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-4ncw31ko/python-geopandas'... Running: git checkout ba53d7907da9cb2aab2825be16361495d9e8f990 -- cmd: ['git', 'checkout', 'ba53d7907da9cb2aab2825be16361495d9e8f990', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-4ncw31ko/python-geopandas rc: 0 stdout: stderr: Note: switching to 'ba53d7907da9cb2aab2825be16361495d9e8f990'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by switching back to a branch. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -c with the switch command. Example: git switch -c Or undo this operation with: git switch - Turn off this advice by setting config variable advice.detachedHead to false HEAD is now at ba53d79 automatic import of python-geopandas Running: dist-git-client sources cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-4ncw31ko/python-geopandas rc: 0 stdout: stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD INFO: Reading stdout from command: git rev-parse HEAD INFO: Reading sources specification file: sources INFO: Downloading geopandas-1.1.0.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -o geopandas-1.1.0.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/thrnciar/python-greenlet/python-geopandas/geopandas-1.1.0.tar.gz/md5/9e3dc2005071a65884040616b64b7139/geopandas-1.1.0.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 6595k 100 6595k 0 0 27.8M 0 --:--:-- --:--:-- --:--:-- 27.8M INFO: Reading stdout from command: md5sum geopandas-1.1.0.tar.gz tail: /var/lib/copr-rpmbuild/main.log: file truncated Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-4ncw31ko/python-geopandas/python-geopandas.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-4ncw31ko/python-geopandas --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1753090852.539668 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 6.3 starting (python version = 3.13.3, NVR = mock-6.3-1.fc42), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-4ncw31ko/python-geopandas/python-geopandas.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-4ncw31ko/python-geopandas --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1753090852.539668 -r /var/lib/copr-rpmbuild/results/configs/child.cfg Start(bootstrap): init plugins INFO: tmpfs initialized INFO: selinux enabled INFO: chroot_scan: initialized INFO: compress_logs: initialized Finish(bootstrap): init plugins Start: init plugins INFO: tmpfs initialized INFO: selinux enabled INFO: chroot_scan: initialized INFO: compress_logs: initialized Finish: init plugins INFO: Signal handler active Start: run INFO: Start(/var/lib/copr-rpmbuild/workspace/workdir-4ncw31ko/python-geopandas/python-geopandas.spec) Config(fedora-41-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 6.3 INFO: Mock Version: 6.3 Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-41-x86_64-bootstrap-1753090852.539668/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start(bootstrap): cleaning package manager metadata Finish(bootstrap): cleaning package manager metadata INFO: Guessed host environment type: unknown INFO: Using container image: registry.fedoraproject.org/fedora:41 INFO: Pulling image: registry.fedoraproject.org/fedora:41 INFO: Tagging container image as mock-bootstrap-a4579c43-353d-424f-a770-6c1c3acddc51 INFO: Checking that f1177726807cd4696f280633bbf929c519afdc731d594c9eadd690c19ec28641 image matches host's architecture INFO: Copy content of container f1177726807cd4696f280633bbf929c519afdc731d594c9eadd690c19ec28641 to /var/lib/mock/fedora-41-x86_64-bootstrap-1753090852.539668/root INFO: mounting f1177726807cd4696f280633bbf929c519afdc731d594c9eadd690c19ec28641 with podman image mount INFO: image f1177726807cd4696f280633bbf929c519afdc731d594c9eadd690c19ec28641 as /var/lib/containers/storage/overlay/1ffd7d5a9ac0d200a23b2dd91728b4d775c86ef47584525f02c889dd36d6969e/merged INFO: umounting image f1177726807cd4696f280633bbf929c519afdc731d594c9eadd690c19ec28641 (/var/lib/containers/storage/overlay/1ffd7d5a9ac0d200a23b2dd91728b4d775c86ef47584525f02c889dd36d6969e/merged) with podman image umount INFO: Removing image mock-bootstrap-a4579c43-353d-424f-a770-6c1c3acddc51 INFO: Package manager dnf5 detected and used (fallback) INFO: Not updating bootstrap chroot, bootstrap_image_ready=True Start(bootstrap): creating root cache Finish(bootstrap): creating root cache Finish(bootstrap): chroot init Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-41-x86_64-1753090852.539668/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Package manager dnf5 detected and used (direct choice) INFO: Buildroot is handled by package management downloaded with a bootstrap image: rpm-4.20.1-1.fc41.x86_64 rpm-sequoia-1.7.0-5.fc41.x86_64 dnf5-5.2.13.1-1.fc41.x86_64 dnf5-plugins-5.2.13.1-1.fc41.x86_64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: updates 100% | 24.7 MiB/s | 10.8 MiB | 00m00s fedora 100% | 42.4 MiB/s | 35.3 MiB | 00m01s Copr repository 100% | 296.8 KiB/s | 133.6 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing group/module packages: bash x86_64 5.2.32-1.fc41 fedora 8.2 MiB bzip2 x86_64 1.0.8-19.fc41 fedora 95.7 KiB coreutils x86_64 9.5-12.fc41 updates 5.5 MiB cpio x86_64 2.15-2.fc41 fedora 1.1 MiB diffutils x86_64 3.10-8.fc41 fedora 1.6 MiB fedora-release-common noarch 41-32 updates 19.7 KiB findutils x86_64 1:4.10.0-4.fc41 fedora 1.8 MiB gawk x86_64 5.3.0-4.fc41 fedora 1.7 MiB glibc-minimal-langpack x86_64 2.40-26.fc41 updates 0.0 B grep x86_64 3.11-9.fc41 fedora 1.0 MiB gzip x86_64 1.13-2.fc41 fedora 389.0 KiB info x86_64 7.1.1-1.fc41 updates 361.7 KiB patch x86_64 2.7.6-25.fc41 fedora 266.7 KiB redhat-rpm-config noarch 294-1.fc41 updates 183.6 KiB rpm-build x86_64 4.20.1-1.fc41 updates 193.8 KiB sed x86_64 4.9-3.fc41 fedora 861.5 KiB shadow-utils x86_64 2:4.15.1-12.fc41 fedora 4.1 MiB tar x86_64 2:1.35-4.fc41 fedora 2.9 MiB unzip x86_64 6.0-64.fc41 fedora 386.8 KiB util-linux x86_64 2.40.4-1.fc41 updates 3.6 MiB which x86_64 2.21-42.fc41 fedora 80.2 KiB xz x86_64 1:5.8.1-2.fc41 updates 1.3 MiB Installing dependencies: add-determinism x86_64 0.3.6-3.fc41 updates 2.4 MiB alternatives x86_64 1.31-1.fc41 updates 64.8 KiB ansible-srpm-macros noarch 1-16.fc41 fedora 35.7 KiB audit-libs x86_64 4.0.5-2.fc41 updates 355.5 KiB authselect x86_64 1.5.0-8.fc41 fedora 157.6 KiB authselect-libs x86_64 1.5.0-8.fc41 fedora 822.2 KiB basesystem noarch 11-21.fc41 fedora 0.0 B binutils x86_64 2.43.1-5.fc41 updates 27.4 MiB build-reproducibility-srpm-macros noarch 0.3.6-3.fc41 updates 735.0 B bzip2-libs x86_64 1.0.8-19.fc41 fedora 80.7 KiB ca-certificates noarch 2024.2.69_v8.0.401-1.0.fc41 fedora 2.4 MiB coreutils-common x86_64 9.5-12.fc41 updates 11.2 MiB cracklib x86_64 2.9.11-6.fc41 fedora 238.9 KiB crypto-policies noarch 20250707-1.git836bbee.fc41 updates 143.8 KiB curl x86_64 8.9.1-3.fc41 updates 793.5 KiB cyrus-sasl-lib x86_64 2.1.28-27.fc41 fedora 2.3 MiB debugedit x86_64 5.1-6.fc41 updates 200.9 KiB dwz x86_64 0.15-8.fc41 fedora 298.9 KiB ed x86_64 1.20.2-2.fc41 fedora 146.9 KiB efi-srpm-macros noarch 5-13.fc41 updates 40.2 KiB elfutils x86_64 0.193-2.fc41 updates 3.0 MiB elfutils-debuginfod-client x86_64 0.193-2.fc41 updates 84.1 KiB elfutils-default-yama-scope noarch 0.193-2.fc41 updates 1.8 KiB elfutils-libelf x86_64 0.193-2.fc41 updates 1.2 MiB elfutils-libs x86_64 0.193-2.fc41 updates 686.6 KiB fedora-gpg-keys noarch 41-3 updates 128.2 KiB fedora-release noarch 41-32 updates 0.0 B fedora-release-identity-basic noarch 41-32 updates 654.0 B fedora-repos noarch 41-3 updates 4.9 KiB file x86_64 5.45-7.fc41 fedora 103.5 KiB file-libs x86_64 5.45-7.fc41 fedora 9.9 MiB filesystem x86_64 3.18-23.fc41 fedora 106.0 B fonts-srpm-macros noarch 1:2.0.5-17.fc41 fedora 55.8 KiB forge-srpm-macros noarch 0.4.0-1.fc41 updates 38.9 KiB fpc-srpm-macros noarch 1.3-13.fc41 fedora 144.0 B gdb-minimal x86_64 16.3-1.fc41 updates 13.3 MiB gdbm x86_64 1:1.23-7.fc41 fedora 460.9 KiB gdbm-libs x86_64 1:1.23-7.fc41 fedora 121.9 KiB ghc-srpm-macros noarch 1.9.1-2.fc41 fedora 747.0 B glibc x86_64 2.40-26.fc41 updates 6.7 MiB glibc-common x86_64 2.40-26.fc41 updates 1.0 MiB glibc-gconv-extra x86_64 2.40-26.fc41 updates 8.0 MiB gmp x86_64 1:6.3.0-2.fc41 fedora 811.4 KiB gnat-srpm-macros noarch 6-6.fc41 fedora 1.0 KiB go-srpm-macros noarch 3.6.0-5.fc41 updates 60.8 KiB jansson x86_64 2.13.1-10.fc41 fedora 88.3 KiB json-c x86_64 0.17-4.fc41 fedora 82.4 KiB kernel-srpm-macros noarch 1.0-24.fc41 fedora 1.9 KiB keyutils-libs x86_64 1.6.3-4.fc41 fedora 54.4 KiB krb5-libs x86_64 1.21.3-5.fc41 updates 2.3 MiB libacl x86_64 2.3.2-2.fc41 fedora 40.0 KiB libarchive x86_64 3.7.4-4.fc41 updates 926.6 KiB libattr x86_64 2.5.2-4.fc41 fedora 28.5 KiB libblkid x86_64 2.40.4-1.fc41 updates 257.2 KiB libbrotli x86_64 1.1.0-5.fc41 fedora 837.6 KiB libcap x86_64 2.70-4.fc41 fedora 220.2 KiB libcap-ng x86_64 0.8.5-3.fc41 fedora 69.2 KiB libcom_err x86_64 1.47.1-6.fc41 fedora 67.2 KiB libcurl x86_64 8.9.1-3.fc41 updates 809.3 KiB libeconf x86_64 0.6.2-3.fc41 fedora 58.0 KiB libevent x86_64 2.1.12-14.fc41 fedora 895.7 KiB libfdisk x86_64 2.40.4-1.fc41 updates 356.4 KiB libffi x86_64 3.4.6-3.fc41 fedora 86.4 KiB libgcc x86_64 14.3.1-1.fc41 updates 274.6 KiB libgomp x86_64 14.3.1-1.fc41 updates 523.6 KiB libidn2 x86_64 2.3.8-1.fc41 updates 556.6 KiB libmount x86_64 2.40.4-1.fc41 updates 348.8 KiB libnghttp2 x86_64 1.62.1-3.fc41 updates 174.1 KiB libnsl2 x86_64 2.0.1-2.fc41 fedora 57.9 KiB libpkgconf x86_64 2.3.0-1.fc41 fedora 78.2 KiB libpsl x86_64 0.21.5-4.fc41 fedora 80.5 KiB libpwquality x86_64 1.4.5-11.fc41 fedora 417.8 KiB libselinux x86_64 3.7-5.fc41 fedora 181.0 KiB libsemanage x86_64 3.7-2.fc41 fedora 293.5 KiB libsepol x86_64 3.7-2.fc41 fedora 817.8 KiB libsmartcols x86_64 2.40.4-1.fc41 updates 176.2 KiB libssh x86_64 0.10.6-8.fc41 fedora 513.3 KiB libssh-config noarch 0.10.6-8.fc41 fedora 277.0 B libstdc++ x86_64 14.3.1-1.fc41 updates 2.8 MiB libtasn1 x86_64 4.20.0-1.fc41 updates 180.4 KiB libtirpc x86_64 1.3.6-1.rc3.fc41 updates 197.6 KiB libtool-ltdl x86_64 2.4.7-12.fc41 fedora 66.2 KiB libunistring x86_64 1.1-8.fc41 fedora 1.7 MiB libutempter x86_64 1.2.1-15.fc41 fedora 57.7 KiB libuuid x86_64 2.40.4-1.fc41 updates 39.9 KiB libverto x86_64 0.3.2-9.fc41 fedora 29.5 KiB libxcrypt x86_64 4.4.38-7.fc41 updates 288.5 KiB libxml2 x86_64 2.12.10-1.fc41 updates 1.7 MiB libzstd x86_64 1.5.7-1.fc41 updates 804.0 KiB lua-libs x86_64 5.4.8-1.fc41 updates 285.0 KiB lua-srpm-macros noarch 1-14.fc41 fedora 1.3 KiB lz4-libs x86_64 1.10.0-1.fc41 fedora 145.5 KiB mpfr x86_64 4.2.1-5.fc41 fedora 832.1 KiB ncurses-base noarch 6.5-2.20240629.fc41 fedora 326.3 KiB ncurses-libs x86_64 6.5-2.20240629.fc41 fedora 975.2 KiB ocaml-srpm-macros noarch 10-3.fc41 fedora 1.9 KiB openblas-srpm-macros noarch 2-18.fc41 fedora 112.0 B openldap x86_64 2.6.9-1.fc41 updates 645.3 KiB openssl-libs x86_64 1:3.2.4-2.fc41 updates 7.8 MiB p11-kit x86_64 0.25.5-3.fc41 fedora 2.2 MiB p11-kit-trust x86_64 0.25.5-3.fc41 fedora 391.4 KiB package-notes-srpm-macros noarch 0.5-12.fc41 fedora 1.6 KiB pam x86_64 1.6.1-8.fc41 updates 1.8 MiB pam-libs x86_64 1.6.1-8.fc41 updates 139.0 KiB pcre2 x86_64 10.44-1.fc41.1 fedora 653.5 KiB pcre2-syntax noarch 10.44-1.fc41.1 fedora 251.6 KiB perl-srpm-macros noarch 1-56.fc41 fedora 861.0 B pkgconf x86_64 2.3.0-1.fc41 fedora 88.6 KiB pkgconf-m4 noarch 2.3.0-1.fc41 fedora 14.4 KiB pkgconf-pkg-config x86_64 2.3.0-1.fc41 fedora 989.0 B popt x86_64 1.19-7.fc41 fedora 136.9 KiB publicsuffix-list-dafsa noarch 20250616-1.fc41 updates 69.1 KiB pyproject-srpm-macros noarch 1.18.2-1.fc41 updates 1.9 KiB python-srpm-macros noarch 3.13-3.fc41 fedora 51.0 KiB qt5-srpm-macros noarch 5.15.17-1.fc41 updates 500.0 B qt6-srpm-macros noarch 6.8.3-1.fc41 updates 456.0 B readline x86_64 8.2-10.fc41 fedora 493.2 KiB rpm x86_64 4.20.1-1.fc41 updates 3.1 MiB rpm-build-libs x86_64 4.20.1-1.fc41 updates 210.7 KiB rpm-libs x86_64 4.20.1-1.fc41 updates 730.0 KiB rpm-sequoia x86_64 1.7.0-5.fc41 updates 2.4 MiB rust-srpm-macros noarch 26.3-3.fc41 fedora 4.8 KiB setup noarch 2.15.0-8.fc41 updates 720.7 KiB sqlite-libs x86_64 3.46.1-3.fc41 updates 1.5 MiB systemd-libs x86_64 256.17-1.fc41 updates 2.0 MiB util-linux-core x86_64 2.40.4-1.fc41 updates 1.5 MiB xxhash-libs x86_64 0.8.3-1.fc41 updates 88.5 KiB xz-libs x86_64 1:5.8.1-2.fc41 updates 217.9 KiB zig-srpm-macros noarch 1-3.fc41 fedora 1.1 KiB zip x86_64 3.0-41.fc41 fedora 703.2 KiB zlib-ng-compat x86_64 2.2.3-2.fc41 updates 141.9 KiB zstd x86_64 1.5.7-1.fc41 updates 1.7 MiB Installing groups: Buildsystem building group Transaction Summary: Installing: 154 packages Total size of inbound packages is 53 MiB. Need to download 53 MiB. After this operation, 181 MiB extra will be used (install 181 MiB, remove 0 B). [ 1/154] bzip2-0:1.0.8-19.fc41.x86_64 100% | 4.7 MiB/s | 52.5 KiB | 00m00s [ 2/154] cpio-0:2.15-2.fc41.x86_64 100% | 20.4 MiB/s | 291.8 KiB | 00m00s [ 3/154] diffutils-0:3.10-8.fc41.x86_6 100% | 56.6 MiB/s | 405.4 KiB | 00m00s [ 4/154] findutils-1:4.10.0-4.fc41.x86 100% | 107.1 MiB/s | 548.5 KiB | 00m00s [ 5/154] bash-0:5.2.32-1.fc41.x86_64 100% | 82.1 MiB/s | 1.8 MiB | 00m00s [ 6/154] grep-0:3.11-9.fc41.x86_64 100% | 97.6 MiB/s | 299.7 KiB | 00m00s [ 7/154] gzip-0:1.13-2.fc41.x86_64 100% | 83.1 MiB/s | 170.2 KiB | 00m00s [ 8/154] patch-0:2.7.6-25.fc41.x86_64 100% | 127.9 MiB/s | 131.0 KiB | 00m00s [ 9/154] sed-0:4.9-3.fc41.x86_64 100% | 310.3 MiB/s | 317.7 KiB | 00m00s [ 10/154] shadow-utils-2:4.15.1-12.fc41 100% | 329.9 MiB/s | 1.3 MiB | 00m00s [ 11/154] tar-2:1.35-4.fc41.x86_64 100% | 140.1 MiB/s | 860.7 KiB | 00m00s [ 12/154] unzip-0:6.0-64.fc41.x86_64 100% | 36.1 MiB/s | 184.9 KiB | 00m00s [ 13/154] which-0:2.21-42.fc41.x86_64 100% | 13.5 MiB/s | 41.6 KiB | 00m00s [ 14/154] 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35.6 KiB | 00m00s -------------------------------------------------------------------------------- [154/154] Total 100% | 73.2 MiB/s | 53.1 MiB | 00m01s Running transaction Importing OpenPGP key 0xE99D6AD1: UserID : "Fedora (41) " Fingerprint: 466CF2D8B60BC3057AA9453ED0622462E99D6AD1 From : file:///usr/share/distribution-gpg-keys/fedora/RPM-GPG-KEY-fedora-41-primary The key was successfully imported. 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Installing libbrotli-0:1.1.0- 100% | 410.1 MiB/s | 839.9 KiB | 00m00s [104/156] Installing libnghttp2-0:1.62. 100% | 171.2 MiB/s | 175.3 KiB | 00m00s [105/156] Installing libtool-ltdl-0:2.4 100% | 0.0 B/s | 67.3 KiB | 00m00s [106/156] Installing rust-srpm-macros-0 100% | 0.0 B/s | 5.6 KiB | 00m00s [107/156] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [108/156] Installing package-notes-srpm 100% | 0.0 B/s | 2.0 KiB | 00m00s [109/156] Installing openblas-srpm-macr 100% | 0.0 B/s | 392.0 B | 00m00s [110/156] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.2 KiB | 00m00s [111/156] Installing kernel-srpm-macros 100% | 0.0 B/s | 2.3 KiB | 00m00s [112/156] Installing gnat-srpm-macros-0 100% | 0.0 B/s | 1.3 KiB | 00m00s [113/156] Installing ghc-srpm-macros-0: 100% | 0.0 B/s | 1.0 KiB | 00m00s [114/156] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [115/156] Installing ansible-srpm-macro 100% | 35.4 MiB/s | 36.2 KiB | 00m00s [116/156] Installing coreutils-common-0 100% | 466.3 MiB/s | 11.2 MiB | 00m00s [117/156] Installing openssl-libs-1:3.2 100% | 489.3 MiB/s | 7.8 MiB | 00m00s [118/156] Installing coreutils-0:9.5-12 100% | 307.9 MiB/s | 5.5 MiB | 00m00s [119/156] Installing ca-certificates-0: 100% | 4.4 MiB/s | 2.4 MiB | 00m01s [120/156] Installing krb5-libs-0:1.21.3 100% | 331.3 MiB/s | 2.3 MiB | 00m00s [121/156] Installing libarchive-0:3.7.4 100% | 302.3 MiB/s | 928.6 KiB | 00m00s [122/156] Installing libtirpc-0:1.3.6-1 100% | 194.7 MiB/s | 199.4 KiB | 00m00s [123/156] Installing gzip-0:1.13-2.fc41 100% | 192.7 MiB/s | 394.6 KiB | 00m00s [124/156] Installing authselect-libs-0: 100% | 204.4 MiB/s | 837.2 KiB | 00m00s [125/156] Installing cracklib-0:2.9.11- 100% | 81.5 MiB/s | 250.3 KiB | 00m00s [126/156] Installing libpwquality-0:1.4 100% | 140.0 MiB/s | 430.1 KiB | 00m00s [127/156] Installing libnsl2-0:2.0.1-2. 100% | 57.7 MiB/s | 59.1 KiB | 00m00s [128/156] Installing pam-0:1.6.1-8.fc41 100% | 185.9 MiB/s | 1.9 MiB | 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| 79.1 MiB/s | 161.9 KiB | 00m00s [155/156] Installing which-0:2.21-42.fc 100% | 80.5 MiB/s | 82.4 KiB | 00m00s [156/156] Installing info-0:7.1.1-1.fc4 100% | 493.4 KiB/s | 362.2 KiB | 00m01s Complete! Finish: installing minimal buildroot with dnf5 Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: add-determinism-0.3.6-3.fc41.x86_64 alternatives-1.31-1.fc41.x86_64 ansible-srpm-macros-1-16.fc41.noarch audit-libs-4.0.5-2.fc41.x86_64 authselect-1.5.0-8.fc41.x86_64 authselect-libs-1.5.0-8.fc41.x86_64 basesystem-11-21.fc41.noarch bash-5.2.32-1.fc41.x86_64 binutils-2.43.1-5.fc41.x86_64 build-reproducibility-srpm-macros-0.3.6-3.fc41.noarch bzip2-1.0.8-19.fc41.x86_64 bzip2-libs-1.0.8-19.fc41.x86_64 ca-certificates-2024.2.69_v8.0.401-1.0.fc41.noarch coreutils-9.5-12.fc41.x86_64 coreutils-common-9.5-12.fc41.x86_64 cpio-2.15-2.fc41.x86_64 cracklib-2.9.11-6.fc41.x86_64 crypto-policies-20250707-1.git836bbee.fc41.noarch curl-8.9.1-3.fc41.x86_64 cyrus-sasl-lib-2.1.28-27.fc41.x86_64 debugedit-5.1-6.fc41.x86_64 diffutils-3.10-8.fc41.x86_64 dwz-0.15-8.fc41.x86_64 ed-1.20.2-2.fc41.x86_64 efi-srpm-macros-5-13.fc41.noarch elfutils-0.193-2.fc41.x86_64 elfutils-debuginfod-client-0.193-2.fc41.x86_64 elfutils-default-yama-scope-0.193-2.fc41.noarch elfutils-libelf-0.193-2.fc41.x86_64 elfutils-libs-0.193-2.fc41.x86_64 fedora-gpg-keys-41-3.noarch fedora-release-41-32.noarch fedora-release-common-41-32.noarch fedora-release-identity-basic-41-32.noarch fedora-repos-41-3.noarch file-5.45-7.fc41.x86_64 file-libs-5.45-7.fc41.x86_64 filesystem-3.18-23.fc41.x86_64 findutils-4.10.0-4.fc41.x86_64 fonts-srpm-macros-2.0.5-17.fc41.noarch forge-srpm-macros-0.4.0-1.fc41.noarch fpc-srpm-macros-1.3-13.fc41.noarch gawk-5.3.0-4.fc41.x86_64 gdb-minimal-16.3-1.fc41.x86_64 gdbm-1.23-7.fc41.x86_64 gdbm-libs-1.23-7.fc41.x86_64 ghc-srpm-macros-1.9.1-2.fc41.noarch glibc-2.40-26.fc41.x86_64 glibc-common-2.40-26.fc41.x86_64 glibc-gconv-extra-2.40-26.fc41.x86_64 glibc-minimal-langpack-2.40-26.fc41.x86_64 gmp-6.3.0-2.fc41.x86_64 gnat-srpm-macros-6-6.fc41.noarch go-srpm-macros-3.6.0-5.fc41.noarch gpg-pubkey-e99d6ad1-64d2612c grep-3.11-9.fc41.x86_64 gzip-1.13-2.fc41.x86_64 info-7.1.1-1.fc41.x86_64 jansson-2.13.1-10.fc41.x86_64 json-c-0.17-4.fc41.x86_64 kernel-srpm-macros-1.0-24.fc41.noarch keyutils-libs-1.6.3-4.fc41.x86_64 krb5-libs-1.21.3-5.fc41.x86_64 libacl-2.3.2-2.fc41.x86_64 libarchive-3.7.4-4.fc41.x86_64 libattr-2.5.2-4.fc41.x86_64 libblkid-2.40.4-1.fc41.x86_64 libbrotli-1.1.0-5.fc41.x86_64 libcap-2.70-4.fc41.x86_64 libcap-ng-0.8.5-3.fc41.x86_64 libcom_err-1.47.1-6.fc41.x86_64 libcurl-8.9.1-3.fc41.x86_64 libeconf-0.6.2-3.fc41.x86_64 libevent-2.1.12-14.fc41.x86_64 libfdisk-2.40.4-1.fc41.x86_64 libffi-3.4.6-3.fc41.x86_64 libgcc-14.3.1-1.fc41.x86_64 libgomp-14.3.1-1.fc41.x86_64 libidn2-2.3.8-1.fc41.x86_64 libmount-2.40.4-1.fc41.x86_64 libnghttp2-1.62.1-3.fc41.x86_64 libnsl2-2.0.1-2.fc41.x86_64 libpkgconf-2.3.0-1.fc41.x86_64 libpsl-0.21.5-4.fc41.x86_64 libpwquality-1.4.5-11.fc41.x86_64 libselinux-3.7-5.fc41.x86_64 libsemanage-3.7-2.fc41.x86_64 libsepol-3.7-2.fc41.x86_64 libsmartcols-2.40.4-1.fc41.x86_64 libssh-0.10.6-8.fc41.x86_64 libssh-config-0.10.6-8.fc41.noarch libstdc++-14.3.1-1.fc41.x86_64 libtasn1-4.20.0-1.fc41.x86_64 libtirpc-1.3.6-1.rc3.fc41.x86_64 libtool-ltdl-2.4.7-12.fc41.x86_64 libunistring-1.1-8.fc41.x86_64 libutempter-1.2.1-15.fc41.x86_64 libuuid-2.40.4-1.fc41.x86_64 libverto-0.3.2-9.fc41.x86_64 libxcrypt-4.4.38-7.fc41.x86_64 libxml2-2.12.10-1.fc41.x86_64 libzstd-1.5.7-1.fc41.x86_64 lua-libs-5.4.8-1.fc41.x86_64 lua-srpm-macros-1-14.fc41.noarch lz4-libs-1.10.0-1.fc41.x86_64 mpfr-4.2.1-5.fc41.x86_64 ncurses-base-6.5-2.20240629.fc41.noarch ncurses-libs-6.5-2.20240629.fc41.x86_64 ocaml-srpm-macros-10-3.fc41.noarch openblas-srpm-macros-2-18.fc41.noarch openldap-2.6.9-1.fc41.x86_64 openssl-libs-3.2.4-2.fc41.x86_64 p11-kit-0.25.5-3.fc41.x86_64 p11-kit-trust-0.25.5-3.fc41.x86_64 package-notes-srpm-macros-0.5-12.fc41.noarch pam-1.6.1-8.fc41.x86_64 pam-libs-1.6.1-8.fc41.x86_64 patch-2.7.6-25.fc41.x86_64 pcre2-10.44-1.fc41.1.x86_64 pcre2-syntax-10.44-1.fc41.1.noarch perl-srpm-macros-1-56.fc41.noarch pkgconf-2.3.0-1.fc41.x86_64 pkgconf-m4-2.3.0-1.fc41.noarch pkgconf-pkg-config-2.3.0-1.fc41.x86_64 popt-1.19-7.fc41.x86_64 publicsuffix-list-dafsa-20250616-1.fc41.noarch pyproject-srpm-macros-1.18.2-1.fc41.noarch python-srpm-macros-3.13-3.fc41.noarch qt5-srpm-macros-5.15.17-1.fc41.noarch qt6-srpm-macros-6.8.3-1.fc41.noarch readline-8.2-10.fc41.x86_64 redhat-rpm-config-294-1.fc41.noarch rpm-4.20.1-1.fc41.x86_64 rpm-build-4.20.1-1.fc41.x86_64 rpm-build-libs-4.20.1-1.fc41.x86_64 rpm-libs-4.20.1-1.fc41.x86_64 rpm-sequoia-1.7.0-5.fc41.x86_64 rust-srpm-macros-26.3-3.fc41.noarch sed-4.9-3.fc41.x86_64 setup-2.15.0-8.fc41.noarch shadow-utils-4.15.1-12.fc41.x86_64 sqlite-libs-3.46.1-3.fc41.x86_64 systemd-libs-256.17-1.fc41.x86_64 tar-1.35-4.fc41.x86_64 unzip-6.0-64.fc41.x86_64 util-linux-2.40.4-1.fc41.x86_64 util-linux-core-2.40.4-1.fc41.x86_64 which-2.21-42.fc41.x86_64 xxhash-libs-0.8.3-1.fc41.x86_64 xz-5.8.1-2.fc41.x86_64 xz-libs-5.8.1-2.fc41.x86_64 zig-srpm-macros-1-3.fc41.noarch zip-3.0-41.fc41.x86_64 zlib-ng-compat-2.2.3-2.fc41.x86_64 zstd-1.5.7-1.fc41.x86_64 Start: buildsrpm Start: rpmbuild -bs Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1753056000 Wrote: /builddir/build/SRPMS/python-geopandas-1.1.0-3.fc41.src.rpm Finish: rpmbuild -bs INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-41-x86_64-1753090852.539668/root/var/log/dnf5.log INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz /bin/tar: Removing leading `/' from member names Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-4ncw31ko/python-geopandas/python-geopandas.spec) Config(child) 0 minutes 18 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot INFO: Start(/var/lib/copr-rpmbuild/results/python-geopandas-1.1.0-3.fc41.src.rpm) Config(fedora-41-x86_64) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-41-x86_64-bootstrap-1753090852.539668/root. INFO: reusing tmpfs at /var/lib/mock/fedora-41-x86_64-bootstrap-1753090852.539668/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start(bootstrap): cleaning package manager metadata Finish(bootstrap): cleaning package manager metadata Finish(bootstrap): chroot init Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-41-x86_64-1753090852.539668/root. INFO: calling preinit hooks INFO: enabled root cache Start: unpacking root cache Finish: unpacking root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Buildroot is handled by package management downloaded with a bootstrap image: rpm-4.20.1-1.fc41.x86_64 rpm-sequoia-1.7.0-5.fc41.x86_64 dnf5-5.2.13.1-1.fc41.x86_64 dnf5-plugins-5.2.13.1-1.fc41.x86_64 Finish: chroot init Start: build phase for python-geopandas-1.1.0-3.fc41.src.rpm Start: build setup for python-geopandas-1.1.0-3.fc41.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1753056000 Wrote: /builddir/build/SRPMS/python-geopandas-1.1.0-3.fc41.src.rpm Updating and loading repositories: updates 100% | 80.5 KiB/s | 21.7 KiB | 00m00s fedora 100% | 111.1 KiB/s | 29.3 KiB | 00m00s Copr repository 100% | 117.6 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: python3-devel x86_64 3.13.5-1.fc41 updates 1.8 MiB python3-fiona x86_64 1.10.1-1.fc41 updates 3.2 MiB python3-fsspec noarch 2025.3.2-1.fc41 updates 1.8 MiB python3-geopy noarch 2.4.1-6.fc41 fedora 806.7 KiB python3-mapclassify noarch 2.8.1-1.fc41 updates 420.8 KiB python3-matplotlib x86_64 3.9.4-2.fc41 updates 21.2 MiB python3-pandas+test x86_64 2.2.1-7.fc41 copr_base 46.1 MiB python3-psycopg3 noarch 3.2.1-3.fc41 fedora 1.9 MiB python3-pyarrow x86_64 16.1.0-14.fc41 updates 14.3 MiB python3-pytest noarch 8.3.4-1.fc41 updates 20.9 MiB python3-sqlalchemy x86_64 2.0.41-1.fc41 updates 22.8 MiB python3-xyzservices noarch 2024.6.0-2.fc41 fedora 1.5 MiB Installing dependencies: SuperLU x86_64 6.0.1-6.fc41 fedora 490.3 KiB abattis-cantarell-vf-fonts noarch 0.301-13.fc41 fedora 192.7 KiB abseil-cpp x86_64 20240722.1-1.fc41 updates 2.6 MiB armadillo x86_64 12.8.1-2.fc41 fedora 90.4 KiB arpack x86_64 3.9.1-4.fc41 fedora 650.0 KiB blosc x86_64 1.21.6-1.fc41 fedora 126.3 KiB boost-program-options x86_64 1.83.0-8.fc41 fedora 272.7 KiB c-ares x86_64 1.34.5-1.fc41 updates 273.2 KiB cairo x86_64 1.18.2-2.fc41 updates 1.7 MiB cfitsio x86_64 4.6.0-1.fc41 updates 1.8 MiB default-fonts-core-sans noarch 4.1-2.fc41 fedora 11.9 KiB dejavu-sans-fonts noarch 2.37-24.fc41 fedora 5.5 MiB expat x86_64 2.7.1-1.fc41 updates 298.3 KiB flexiblas x86_64 3.4.5-1.fc41 updates 50.4 KiB flexiblas-netlib x86_64 3.4.5-1.fc41 updates 10.9 MiB flexiblas-netlib64 x86_64 3.4.5-1.fc41 updates 10.9 MiB flexiblas-openblas-openmp x86_64 3.4.5-1.fc41 updates 43.3 KiB flexiblas-openblas-openmp64 x86_64 3.4.5-1.fc41 updates 43.3 KiB fontconfig x86_64 2.15.0-8.fc41 fedora 791.9 KiB fonts-filesystem noarch 1:2.0.5-17.fc41 fedora 0.0 B freetype x86_64 2.13.3-1.fc41 fedora 850.5 KiB freexl x86_64 2.0.0-11.fc41 updates 93.4 KiB fribidi x86_64 1.0.15-2.fc41 fedora 368.4 KiB gdal-libs x86_64 3.9.3-1.fc41 updates 29.5 MiB geos x86_64 3.12.2-3.fc41 updates 3.6 MiB giflib x86_64 5.2.2-6.fc41 updates 116.2 KiB glib2 x86_64 2.82.5-1.fc41 updates 14.7 MiB gnupg2 x86_64 2.4.5-3.fc41 fedora 9.5 MiB gnutls x86_64 3.8.10-1.fc41 updates 3.8 MiB google-noto-fonts-common noarch 20240701-2.fc41 fedora 17.5 KiB google-noto-sans-vf-fonts noarch 20240701-2.fc41 fedora 1.2 MiB gpgme x86_64 1.23.2-5.fc41 fedora 579.3 KiB gpgmepp x86_64 1.23.2-5.fc41 fedora 424.2 KiB graphite2 x86_64 1.3.14-16.fc41 fedora 192.0 KiB grpc x86_64 1.48.4-41.fc41 fedora 10.6 MiB grpc-cpp x86_64 1.48.4-41.fc41 fedora 3.0 MiB grpc-data noarch 1.48.4-41.fc41 fedora 29.6 KiB harfbuzz x86_64 9.0.0-3.fc41 fedora 2.6 MiB hdf-libs x86_64 4.2.16.2-2.fc41 fedora 691.6 KiB hdf5 x86_64 1.12.1-21.fc41 updates 7.9 MiB imath x86_64 3.1.12-1.fc41 fedora 375.8 KiB jbigkit-libs x86_64 2.1-30.fc41 fedora 117.6 KiB lcms2 x86_64 2.16-4.fc41 fedora 424.9 KiB libX11 x86_64 1.8.11-1.fc41 updates 1.3 MiB libX11-common noarch 1.8.11-1.fc41 updates 1.2 MiB libXau x86_64 1.0.11-7.fc41 fedora 66.9 KiB libXext x86_64 1.3.6-2.fc41 fedora 90.1 KiB libXft x86_64 2.3.8-7.fc41 fedora 164.5 KiB libXrender x86_64 0.9.12-1.fc41 updates 48.8 KiB libaec x86_64 1.1.3-1.fc41 fedora 98.1 KiB libarrow x86_64 16.1.0-14.fc41 updates 22.9 MiB libarrow-acero-libs x86_64 16.1.0-14.fc41 updates 1.4 MiB libarrow-dataset-libs x86_64 16.1.0-14.fc41 updates 1.5 MiB libarrow-doc noarch 16.1.0-14.fc41 updates 115.7 KiB libarrow-flight-libs x86_64 16.1.0-14.fc41 updates 1.4 MiB libarrow-glib-libs x86_64 16.1.0-14.fc41 updates 1.4 MiB libassuan x86_64 2.5.7-2.fc41 fedora 163.8 KiB libb2 x86_64 0.98.1-12.fc41 fedora 42.2 KiB libdeflate x86_64 1.24-1.fc41 updates 119.1 KiB libgcrypt x86_64 1.11.0-3.fc41 fedora 1.5 MiB libgeotiff x86_64 1.7.3-3.fc41 updates 319.9 KiB libgfortran x86_64 14.3.1-1.fc41 updates 3.0 MiB libgpg-error x86_64 1.50-2.fc41 fedora 889.5 KiB libgta x86_64 1.2.1-13.fc41 fedora 70.2 KiB libicu x86_64 74.2-2.fc41 fedora 34.9 MiB libimagequant x86_64 4.0.3-5.fc41 fedora 666.7 KiB libjpeg-turbo x86_64 3.0.2-3.fc41 fedora 776.9 KiB libkml x86_64 1.3.0-50.fc41 updates 1.2 MiB libksba x86_64 1.6.7-2.fc41 fedora 398.4 KiB liblerc x86_64 4.0.0-8.fc41 updates 607.5 KiB liborc2 x86_64 2.0.5-1.fc41 updates 1.6 MiB libpng x86_64 2:1.6.40-4.fc41 fedora 245.8 KiB libpq x86_64 16.4-1.fc41 fedora 965.4 KiB libqhull_r x86_64 1:8.0.2-5.fc41 fedora 483.4 KiB libquadmath x86_64 14.3.1-1.fc41 updates 325.9 KiB libraqm x86_64 0.8.0-8.fc41 fedora 28.6 KiB librttopo x86_64 1.1.0-16.fc41 updates 508.7 KiB libspatialite x86_64 5.1.0-8.fc41 updates 15.3 MiB libtiff x86_64 4.6.0-6.fc41 fedora 606.0 KiB libwebp x86_64 1.5.0-1.fc41 updates 814.4 KiB libxcb x86_64 1.17.0-3.fc41 fedora 1.2 MiB libxslt x86_64 1.1.43-1.fc41 updates 468.4 KiB mariadb-connector-c x86_64 3.3.10-1.fc41 fedora 529.2 KiB mariadb-connector-c-config noarch 3.3.10-1.fc41 fedora 497.0 B metis x86_64 5.1.0.3-6.fc41 fedora 985.2 KiB minizip-ng-compat x86_64 4.0.7-1.fc41 fedora 158.6 KiB mpdecimal x86_64 2.5.1-16.fc41 fedora 204.9 KiB netcdf x86_64 4.9.2-6.fc41 fedora 2.4 MiB nettle x86_64 3.10-3.fc41 fedora 793.0 KiB npth x86_64 1.7-2.fc41 fedora 49.6 KiB nspr x86_64 4.36.0-9.fc41 updates 320.4 KiB nss x86_64 3.113.0-1.fc41 updates 1.9 MiB nss-softokn x86_64 3.113.0-1.fc41 updates 1.9 MiB nss-softokn-freebl x86_64 3.113.0-1.fc41 updates 845.2 KiB nss-sysinit x86_64 3.113.0-1.fc41 updates 22.2 KiB nss-util x86_64 3.113.0-1.fc41 updates 205.1 KiB ogdi x86_64 4.1.1-2.fc41 fedora 801.1 KiB openblas x86_64 0.3.26-5.fc41 fedora 96.0 KiB openblas-openmp x86_64 0.3.26-5.fc41 fedora 39.4 MiB openblas-openmp64 x86_64 0.3.26-5.fc41 fedora 39.5 MiB openexr-libs x86_64 3.2.4-3.fc41 fedora 6.5 MiB openjpeg x86_64 2.5.3-6.fc41 updates 455.9 KiB parquet-libs x86_64 16.1.0-14.fc41 updates 3.3 MiB pixman x86_64 0.44.2-1.fc41 updates 664.5 KiB poppler x86_64 24.08.0-1.fc41 fedora 3.6 MiB poppler-data noarch 0.4.11-8.fc41 fedora 12.3 MiB proj x86_64 9.4.1-3.fc41 updates 4.4 MiB proj-data noarch 9.4.1-3.fc41 updates 9.0 MiB protobuf x86_64 3.19.6-10.fc41 fedora 3.3 MiB protobuf-compiler x86_64 3.19.6-10.fc41 fedora 2.5 MiB pyproject-rpm-macros noarch 1.18.2-1.fc41 updates 114.5 KiB python-pip-wheel noarch 24.2-1.fc41 fedora 1.2 MiB python-rpm-macros noarch 3.13-3.fc41 fedora 22.1 KiB python3 x86_64 3.13.5-1.fc41 updates 32.9 KiB python3-Bottleneck x86_64 1.3.7-7.fc41 fedora 627.3 KiB python3-GeographicLib noarch 2.0-2.4.2.fc41 fedora 324.9 KiB python3-appdirs noarch 1.4.4-23.fc41 fedora 68.7 KiB python3-attrs noarch 24.2.0-1.fc41 fedora 396.1 KiB python3-brotli x86_64 1.1.0-5.fc41 fedora 836.0 KiB python3-cairo x86_64 1.25.1-5.fc41 fedora 492.5 KiB python3-certifi noarch 2023.05.07-7.fc41 fedora 6.6 KiB python3-charset-normalizer noarch 3.3.2-5.fc41 fedora 314.8 KiB python3-click noarch 8.1.7-6.fc41 fedora 1.1 MiB python3-click-plugins noarch 1.1.1.2-1.fc41 updates 23.6 KiB python3-cligj noarch 0.7.2-14.fc41 fedora 33.0 KiB python3-cloudpickle noarch 3.1.0-1.fc41 updates 127.8 KiB python3-contourpy x86_64 1.3.2-1.fc41 updates 840.4 KiB python3-cycler noarch 0.11.0-13.fc41 fedora 37.6 KiB python3-dateutil noarch 1:2.8.2-16.fc41 fedora 879.2 KiB python3-execnet noarch 2.1.1-7.fc41 copr_base 916.2 KiB python3-fonttools x86_64 4.53.1-2.fc41 fedora 18.2 MiB python3-fs noarch 2.4.16-9.fc41 fedora 1.3 MiB python3-greenlet x86_64 3.1.1-1.fc41 fedora 943.2 KiB python3-hypothesis noarch 6.104.2-3.fc41 fedora 4.5 MiB python3-idna noarch 3.7-4.fc41 fedora 595.8 KiB python3-iniconfig noarch 1.1.1-23.fc41 fedora 20.6 KiB python3-joblib noarch 1.4.2-3.fc41 fedora 2.2 MiB python3-kiwisolver x86_64 1.4.8-1.fc41 updates 149.3 KiB python3-libs x86_64 3.13.5-1.fc41 updates 40.5 MiB python3-lxml x86_64 5.3.2-1.fc41 updates 5.0 MiB python3-matplotlib-data noarch 3.9.4-2.fc41 updates 741.5 KiB python3-matplotlib-data-fonts noarch 3.9.4-2.fc41 updates 7.9 MiB python3-matplotlib-tk x86_64 3.9.4-2.fc41 updates 262.5 KiB python3-networkx noarch 3.3-1.fc41 fedora 16.8 MiB python3-numexpr x86_64 2.8.5-7.fc41 fedora 574.8 KiB python3-numpy x86_64 1:1.26.4-8.fc41 fedora 43.8 MiB python3-numpy-f2py x86_64 1:1.26.4-8.fc41 fedora 2.8 MiB python3-olefile noarch 0.47-5.fc41 fedora 340.4 KiB python3-packaging noarch 24.2-3.fc41 updates 558.3 KiB python3-pandas x86_64 2.2.1-7.fc41 copr_base 42.0 MiB python3-pillow x86_64 11.0.0-1.fc41 updates 4.0 MiB python3-pillow-tk x86_64 11.0.0-1.fc41 updates 73.4 KiB python3-platformdirs noarch 4.2.2-2.fc41 fedora 168.6 KiB python3-pluggy noarch 1.5.0-1.fc41 fedora 193.2 KiB python3-pooch noarch 1.8.2-3.fc41 fedora 625.5 KiB python3-pyparsing noarch 3.1.2-7.fc41 fedora 1.0 MiB python3-pytest-xdist noarch 3.6.1-4.fc41 fedora 419.8 KiB python3-pytz noarch 2025.2-1.fc41 updates 206.3 KiB python3-requests noarch 2.32.4-1.fc41 updates 476.5 KiB python3-rpm-generators noarch 14-11.fc41 fedora 81.7 KiB python3-rpm-macros noarch 3.13-3.fc41 fedora 6.4 KiB python3-scikit-learn x86_64 1.4.1.post1-4.fc41 fedora 53.1 MiB python3-scipy x86_64 1.11.3-16.fc41 updates 62.5 MiB python3-setuptools noarch 69.2.0-10.fc41 updates 7.2 MiB python3-six noarch 1.16.0-23.fc41 fedora 118.3 KiB python3-sortedcontainers noarch 2.4.0-18.fc41 fedora 391.2 KiB python3-threadpoolctl noarch 3.5.0-4.fc41 fedora 136.8 KiB python3-tkinter x86_64 3.13.5-1.fc41 updates 2.0 MiB python3-typing-extensions noarch 4.12.2-3.fc41 fedora 464.5 KiB python3-urllib3 noarch 1.26.20-1.fc41 fedora 1.0 MiB re2 x86_64 1:20240702-19.fc41 fedora 557.0 KiB snappy x86_64 1.2.1-2.fc41 fedora 71.1 KiB tcl x86_64 1:8.6.14-5.fc41 updates 4.2 MiB thrift x86_64 0.20.0-3.fc41 fedora 4.8 MiB tk x86_64 1:8.6.14-2.fc41 fedora 3.6 MiB tpm2-tss x86_64 4.1.3-3.fc41 fedora 1.6 MiB tzdata noarch 2025b-1.fc41 updates 1.6 MiB unixODBC x86_64 2.3.12-5.fc41 fedora 1.0 MiB uriparser x86_64 0.9.8-3.fc41 updates 141.9 KiB utf8proc x86_64 2.7.0-8.fc41 fedora 362.4 KiB xerces-c x86_64 3.2.5-5.fc41 fedora 3.6 MiB xml-common noarch 0.6.3-65.fc41 fedora 78.4 KiB Transaction Summary: Installing: 194 packages Total size of inbound packages is 193 MiB. Need to download 193 MiB. After this operation, 851 MiB extra will be used (install 851 MiB, remove 0 B). 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00m00s [179/194] nspr-0:4.36.0-9.fc41.x86_64 100% | 66.7 MiB/s | 136.7 KiB | 00m00s [180/194] nss-softokn-0:3.113.0-1.fc41. 100% | 135.0 MiB/s | 414.8 KiB | 00m00s [181/194] nss-0:3.113.0-1.fc41.x86_64 100% | 137.8 MiB/s | 705.5 KiB | 00m00s [182/194] nss-softokn-freebl-0:3.113.0- 100% | 79.5 MiB/s | 325.6 KiB | 00m00s [183/194] nss-sysinit-0:3.113.0-1.fc41. 100% | 6.2 MiB/s | 19.0 KiB | 00m00s [184/194] libXrender-0:0.9.12-1.fc41.x8 100% | 8.5 MiB/s | 26.1 KiB | 00m00s [185/194] c-ares-0:1.34.5-1.fc41.x86_64 100% | 37.7 MiB/s | 115.9 KiB | 00m00s [186/194] librttopo-0:1.1.0-16.fc41.x86 100% | 50.5 MiB/s | 206.8 KiB | 00m00s [187/194] nss-util-0:3.113.0-1.fc41.x86 100% | 20.9 MiB/s | 85.8 KiB | 00m00s [188/194] uriparser-0:0.9.8-3.fc41.x86_ 100% | 14.0 MiB/s | 57.1 KiB | 00m00s [189/194] hdf-libs-0:4.2.16.2-2.fc41.x8 100% | 93.6 MiB/s | 287.4 KiB | 00m00s [190/194] pixman-0:0.44.2-1.fc41.x86_64 100% | 65.7 MiB/s | 269.1 KiB | 00m00s [191/194] pyproject-rpm-macros-0:1.18.2 100% | 8.7 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python3-pluggy-0:1 100% | 64.9 MiB/s | 199.4 KiB | 00m00s [162/196] Installing python3-pytest-0:8 100% | 525.9 MiB/s | 21.0 MiB | 00m00s [163/196] Installing python3-platformdi 100% | 170.9 MiB/s | 175.0 KiB | 00m00s [164/196] Installing python3-execnet-0: 100% | 229.0 MiB/s | 937.8 KiB | 00m00s [165/196] Installing python3-pytest-xdi 100% | 211.0 MiB/s | 432.1 KiB | 00m00s [166/196] Installing python3-charset-no 100% | 158.5 MiB/s | 324.7 KiB | 00m00s [167/196] Installing python3-requests-0 100% | 238.5 MiB/s | 488.3 KiB | 00m00s [168/196] Installing python3-pooch-0:1. 100% | 104.2 MiB/s | 640.5 KiB | 00m00s [169/196] Installing python3-scipy-0:1. 100% | 439.7 MiB/s | 62.9 MiB | 00m00s [170/196] Installing python3-Bottleneck 100% | 159.1 MiB/s | 651.8 KiB | 00m00s [171/196] Installing python3-cloudpickl 100% | 128.4 MiB/s | 131.5 KiB | 00m00s [172/196] Installing python3-joblib-0:1 100% | 171.5 MiB/s | 2.2 MiB | 00m00s [173/196] Installing python3-scikit-lea 100% | 396.7 MiB/s | 53.5 MiB | 00m00s [174/196] Installing python3-setuptools 100% | 305.3 MiB/s | 7.3 MiB | 00m00s [175/196] Installing python3-fs-0:2.4.1 100% | 268.3 MiB/s | 1.3 MiB | 00m00s [176/196] Installing python3-lxml-0:5.3 100% | 332.3 MiB/s | 5.0 MiB | 00m00s [177/196] Installing python3-fonttools- 100% | 409.5 MiB/s | 18.4 MiB | 00m00s [178/196] Installing python3-greenlet-0 100% | 190.1 MiB/s | 973.5 KiB | 00m00s [179/196] Installing python3-olefile-0: 100% | 167.8 MiB/s | 343.6 KiB | 00m00s [180/196] Installing python3-pillow-0:1 100% | 364.4 MiB/s | 4.0 MiB | 00m00s [181/196] Installing python3-pillow-tk- 100% | 73.5 MiB/s | 75.2 KiB | 00m00s [182/196] Installing python3-kiwisolver 100% | 149.6 MiB/s | 153.2 KiB | 00m00s [183/196] Installing python3-cairo-0:1. 100% | 242.5 MiB/s | 496.6 KiB | 00m00s [184/196] Installing python3-matplotlib 100% | 86.3 MiB/s | 265.1 KiB | 00m00s [185/196] Installing python3-matplotlib 100% | 403.0 MiB/s | 21.4 MiB | 00m00s [186/196] Installing python3-pytz-0:202 100% | 103.3 MiB/s | 211.5 KiB | 00m00s [187/196] Installing python3-pandas-0:2 100% | 453.8 MiB/s | 42.2 MiB | 00m00s [188/196] Installing python3-mapclassif 100% | 70.5 MiB/s | 433.1 KiB | 00m00s [189/196] Installing python3-pandas+tes 100% | 359.6 MiB/s | 46.7 MiB | 00m00s [190/196] Installing python3-sqlalchemy 100% | 459.5 MiB/s | 23.0 MiB | 00m00s [191/196] Installing python3-fiona-0:1. 100% | 320.0 MiB/s | 3.2 MiB | 00m00s [192/196] Installing python3-geopy-0:2. 100% | 203.7 MiB/s | 834.5 KiB | 00m00s [193/196] Installing python3-psycopg3-0 100% | 273.7 MiB/s | 1.9 MiB | 00m00s [194/196] Installing python3-pyarrow-0: 100% | 447.9 MiB/s | 14.3 MiB | 00m00s [195/196] Installing python3-xyzservice 100% | 491.9 MiB/s | 1.5 MiB | 00m00s [196/196] Installing python3-fsspec-0:2 100% | 15.8 MiB/s | 1.9 MiB | 00m00s Warning: skipped OpenPGP checks for 3 packages from repository: copr_base Complete! Finish: build setup for python-geopandas-1.1.0-3.fc41.src.rpm Start: rpmbuild python-geopandas-1.1.0-3.fc41.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1753056000 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.Nym2lr Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.dufJEC + umask 022 + cd /builddir/build/BUILD/python-geopandas-1.1.0-build + cd /builddir/build/BUILD/python-geopandas-1.1.0-build + rm -rf geopandas-1.1.0 + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/geopandas-1.1.0.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + cd geopandas-1.1.0 + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + RPM_EC=0 ++ jobs -p + exit 0 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.TyWzqA + umask 022 + cd /builddir/build/BUILD/python-geopandas-1.1.0-build + cd geopandas-1.1.0 + echo pyproject-rpm-macros + echo python3-devel + echo 'python3dist(packaging)' + echo 'python3dist(pip) >= 19' + '[' -f pyproject.toml ']' + echo '(python3dist(tomli) if python3-devel < 3.11)' + rm -rfv '*.dist-info/' + '[' -f /usr/bin/python3 ']' + mkdir -p /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir + echo -n + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 ' + LT_SYS_LIBRARY_PATH=/usr/lib64: + CC=gcc + CXX=g++ + TMPDIR=/builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir + RPM_TOXENV=py313 + FEDORA=41 + HOSTNAME=rpmbuild + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject-wheeldir --output /builddir/build/BUILD/python-geopandas-1.1.0-build/python-geopandas-1.1.0-3.fc41.x86_64-pyproject-buildrequires Handling setuptools>=61.0.0 from build-system.requires Requirement satisfied: setuptools>=61.0.0 (installed: setuptools 69.2.0) Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg running egg_info creating geopandas.egg-info writing geopandas.egg-info/PKG-INFO writing dependency_links to geopandas.egg-info/dependency_links.txt writing requirements to geopandas.egg-info/requires.txt writing top-level names to geopandas.egg-info/top_level.txt writing manifest file 'geopandas.egg-info/SOURCES.txt' reading manifest file 'geopandas.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' adding license file 'LICENSE.txt' writing manifest file 'geopandas.egg-info/SOURCES.txt' Handling wheel from get_requires_for_build_wheel Requirement not satisfied: wheel Exiting dependency generation pass: get_requires_for_build_wheel Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg + cat /builddir/build/BUILD/python-geopandas-1.1.0-build/python-geopandas-1.1.0-3.fc41.x86_64-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-geopandas-1.1.0-3.fc41.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: updates 100% | 77.4 KiB/s | 21.7 KiB | 00m00s fedora 100% | 105.9 KiB/s | 29.3 KiB | 00m00s Copr repository 100% | 117.6 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package "pyproject-rpm-macros-1.18.2-1.fc41.noarch" is already installed. Package "python3-devel-3.13.5-1.fc41.x86_64" is already installed. Package "python3-fiona-1.10.1-1.fc41.x86_64" is already installed. Package "python3-fsspec-2025.3.2-1.fc41.noarch" is already installed. Package "python3-geopy-2.4.1-6.fc41.noarch" is already installed. Package "python3-mapclassify-2.8.1-1.fc41.noarch" is already installed. Package "python3-matplotlib-3.9.4-2.fc41.x86_64" is already installed. Package "python3-packaging-24.2-3.fc41.noarch" is already installed. Package "python3-pandas+test-2.2.1-7.fc41.x86_64" is already installed. Package "python3-psycopg3-3.2.1-3.fc41.noarch" is already installed. Package "python3-pyarrow-16.1.0-14.fc41.x86_64" is already installed. Package "python3-pytest-8.3.4-1.fc41.noarch" is already installed. Package "python3-setuptools-69.2.0-10.fc41.noarch" is already installed. Package "python3-sqlalchemy-2.0.41-1.fc41.x86_64" is already installed. Package "python3-xyzservices-2024.6.0-2.fc41.noarch" is already installed. Package Arch Version Repository Size Installing: python3-pip noarch 24.2-1.fc41 fedora 11.4 MiB python3-wheel noarch 1:0.43.0-4.fc41 fedora 516.1 KiB Transaction Summary: Installing: 2 packages Total size of inbound packages is 3 MiB. Need to download 3 MiB. After this operation, 12 MiB extra will be used (install 12 MiB, remove 0 B). [1/2] python3-wheel-1:0.43.0-4.fc41.noa 100% | 13.5 MiB/s | 165.8 KiB | 00m00s [2/2] python3-pip-0:24.2-1.fc41.noarch 100% | 181.0 MiB/s | 2.7 MiB | 00m00s -------------------------------------------------------------------------------- [2/2] Total 100% | 10.5 MiB/s | 2.9 MiB | 00m00s Running transaction [1/4] Verify package files 100% | 285.0 B/s | 2.0 B | 00m00s [2/4] Prepare transaction 100% | 86.0 B/s | 2.0 B | 00m00s [3/4] Installing python3-wheel-1:0.43.0 100% | 87.1 MiB/s | 535.1 KiB | 00m00s [4/4] Installing python3-pip-0:24.2-1.f 100% | 185.2 MiB/s | 11.7 MiB | 00m00s Complete! Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1753056000 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.5BiZ8v + umask 022 + cd /builddir/build/BUILD/python-geopandas-1.1.0-build + cd geopandas-1.1.0 + echo pyproject-rpm-macros + echo python3-devel + echo 'python3dist(packaging)' + echo 'python3dist(pip) >= 19' + '[' -f pyproject.toml ']' + echo '(python3dist(tomli) if python3-devel < 3.11)' + rm -rfv '*.dist-info/' + '[' -f /usr/bin/python3 ']' + mkdir -p /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir + echo -n + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 ' + LT_SYS_LIBRARY_PATH=/usr/lib64: + CC=gcc + CXX=g++ + TMPDIR=/builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir + RPM_TOXENV=py313 + FEDORA=41 + HOSTNAME=rpmbuild + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject-wheeldir --output /builddir/build/BUILD/python-geopandas-1.1.0-build/python-geopandas-1.1.0-3.fc41.x86_64-pyproject-buildrequires Handling setuptools>=61.0.0 from build-system.requires Requirement satisfied: setuptools>=61.0.0 (installed: setuptools 69.2.0) Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg running egg_info writing geopandas.egg-info/PKG-INFO writing dependency_links to geopandas.egg-info/dependency_links.txt writing requirements to geopandas.egg-info/requires.txt writing top-level names to geopandas.egg-info/top_level.txt reading manifest file 'geopandas.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' adding license file 'LICENSE.txt' writing manifest file 'geopandas.egg-info/SOURCES.txt' Handling wheel from get_requires_for_build_wheel Requirement satisfied: wheel (installed: wheel 0.43.0) Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg running dist_info writing geopandas.egg-info/PKG-INFO writing dependency_links to geopandas.egg-info/dependency_links.txt writing requirements to geopandas.egg-info/requires.txt writing top-level names to geopandas.egg-info/top_level.txt reading manifest file 'geopandas.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' adding license file 'LICENSE.txt' writing manifest file 'geopandas.egg-info/SOURCES.txt' Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg creating '/builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/geopandas-1.1.0.dist-info' Handling numpy >=1.24 from hook generated metadata: Requires-Dist (geopandas) Requirement satisfied: numpy >=1.24 (installed: numpy 1.26.4) Handling pyogrio >=0.7.2 from hook generated metadata: Requires-Dist (geopandas) Requirement not satisfied: pyogrio >=0.7.2 Handling packaging from hook generated metadata: Requires-Dist (geopandas) Requirement satisfied: packaging (installed: packaging 24.2) Handling pandas >=2.0.0 from hook generated metadata: Requires-Dist (geopandas) Requirement satisfied: pandas >=2.0.0 (installed: pandas 2.2.1) Handling pyproj >=3.5.0 from hook generated metadata: Requires-Dist (geopandas) Requirement not satisfied: pyproj >=3.5.0 Handling shapely >=2.0.0 from hook generated metadata: Requires-Dist (geopandas) Requirement not satisfied: shapely >=2.0.0 Handling psycopg[binary] >=3.1.0 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: psycopg[binary] >=3.1.0 ; extra == 'all' Handling SQLAlchemy >=2.0 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: SQLAlchemy >=2.0 ; extra == 'all' Handling geopy ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: geopy ; extra == 'all' Handling matplotlib >=3.7 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: matplotlib >=3.7 ; extra == 'all' Handling mapclassify >=2.5 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: mapclassify >=2.5 ; extra == 'all' Handling xyzservices ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: xyzservices ; extra == 'all' Handling folium ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: folium ; extra == 'all' Handling GeoAlchemy2 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: GeoAlchemy2 ; extra == 'all' Handling pyarrow >=10.0.0 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: pyarrow >=10.0.0 ; extra == 'all' Handling scipy ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: scipy ; extra == 'all' Handling pytest >=3.1.0 ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: pytest >=3.1.0 ; extra == 'dev' Handling pytest-cov ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: pytest-cov ; extra == 'dev' Handling pytest-xdist ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: pytest-xdist ; extra == 'dev' Handling codecov ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: codecov ; extra == 'dev' Handling pre-commit ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: pre-commit ; extra == 'dev' Handling ruff ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: ruff ; extra == 'dev' + cat /builddir/build/BUILD/python-geopandas-1.1.0-build/python-geopandas-1.1.0-3.fc41.x86_64-pyproject-buildrequires + rm -rfv geopandas-1.1.0.dist-info/ removed 'geopandas-1.1.0.dist-info/LICENSE.txt' removed 'geopandas-1.1.0.dist-info/METADATA' removed 'geopandas-1.1.0.dist-info/top_level.txt' removed directory 'geopandas-1.1.0.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-geopandas-1.1.0-3.fc41.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: updates 100% | 77.6 KiB/s | 21.7 KiB | 00m00s fedora 100% | 106.6 KiB/s | 29.3 KiB | 00m00s Copr repository 100% | 117.6 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package "pyproject-rpm-macros-1.18.2-1.fc41.noarch" is already installed. Package "python3-devel-3.13.5-1.fc41.x86_64" is already installed. Package "python3-fiona-1.10.1-1.fc41.x86_64" is already installed. Package "python3-fsspec-2025.3.2-1.fc41.noarch" is already installed. Package "python3-geopy-2.4.1-6.fc41.noarch" is already installed. Package "python3-mapclassify-2.8.1-1.fc41.noarch" is already installed. Package "python3-matplotlib-3.9.4-2.fc41.x86_64" is already installed. Package "python3-numpy-1:1.26.4-8.fc41.x86_64" is already installed. Package "python3-packaging-24.2-3.fc41.noarch" is already installed. Package "python3-pandas-2.2.1-7.fc41.x86_64" is already installed. Package "python3-pandas+test-2.2.1-7.fc41.x86_64" is already installed. Package "python3-pip-24.2-1.fc41.noarch" is already installed. Package "python3-psycopg3-3.2.1-3.fc41.noarch" is already installed. Package "python3-pyarrow-16.1.0-14.fc41.x86_64" is already installed. Package "python3-pytest-8.3.4-1.fc41.noarch" is already installed. Package "python3-setuptools-69.2.0-10.fc41.noarch" is already installed. Package "python3-sqlalchemy-2.0.41-1.fc41.x86_64" is already installed. Package "python3-wheel-1:0.43.0-4.fc41.noarch" is already installed. Package "python3-xyzservices-2024.6.0-2.fc41.noarch" is already installed. Package Arch Version Repository Size Installing: python3-pyogrio x86_64 0.11.0-1.fc41 updates 2.7 MiB python3-pyproj x86_64 3.7.0-1.fc41 fedora 2.1 MiB python3-shapely x86_64 2.0.7-1.fc41 updates 3.0 MiB Transaction Summary: Installing: 3 packages Total size of inbound packages is 2 MiB. Need to download 2 MiB. After this operation, 8 MiB extra will be used (install 8 MiB, remove 0 B). [1/3] python3-shapely-0:2.0.7-1.fc41.x8 100% | 21.9 MiB/s | 694.9 KiB | 00m00s [2/3] python3-pyogrio-0:0.11.0-1.fc41.x 100% | 6.5 MiB/s | 693.1 KiB | 00m00s [3/3] python3-pyproj-0:3.7.0-1.fc41.x86 100% | 4.7 MiB/s | 534.0 KiB | 00m00s -------------------------------------------------------------------------------- [3/3] Total 100% | 3.0 MiB/s | 1.9 MiB | 00m01s Running transaction [1/5] Verify package files 100% | 600.0 B/s | 3.0 B | 00m00s [2/5] Prepare transaction 100% | 69.0 B/s | 3.0 B | 00m00s [3/5] Installing python3-shapely-0:2.0. 100% | 233.3 MiB/s | 3.0 MiB | 00m00s [4/5] Installing python3-pyproj-0:3.7.0 100% | 303.3 MiB/s | 2.1 MiB | 00m00s [5/5] Installing python3-pyogrio-0:0.11 100% | 116.5 MiB/s | 2.7 MiB | 00m00s Complete! Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1753056000 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.FnPMeb + umask 022 + cd /builddir/build/BUILD/python-geopandas-1.1.0-build + cd geopandas-1.1.0 + echo pyproject-rpm-macros + echo python3-devel + echo 'python3dist(packaging)' + echo 'python3dist(pip) >= 19' + '[' -f pyproject.toml ']' + echo '(python3dist(tomli) if python3-devel < 3.11)' + rm -rfv '*.dist-info/' + '[' -f /usr/bin/python3 ']' + mkdir -p /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir + echo -n + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 ' + LT_SYS_LIBRARY_PATH=/usr/lib64: + CC=gcc + CXX=g++ + TMPDIR=/builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir + RPM_TOXENV=py313 + FEDORA=41 + HOSTNAME=rpmbuild + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject-wheeldir --output /builddir/build/BUILD/python-geopandas-1.1.0-build/python-geopandas-1.1.0-3.fc41.x86_64-pyproject-buildrequires Handling setuptools>=61.0.0 from build-system.requires Requirement satisfied: setuptools>=61.0.0 (installed: setuptools 69.2.0) Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg running egg_info writing geopandas.egg-info/PKG-INFO writing dependency_links to geopandas.egg-info/dependency_links.txt writing requirements to geopandas.egg-info/requires.txt writing top-level names to geopandas.egg-info/top_level.txt reading manifest file 'geopandas.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' adding license file 'LICENSE.txt' writing manifest file 'geopandas.egg-info/SOURCES.txt' Handling wheel from get_requires_for_build_wheel Requirement satisfied: wheel (installed: wheel 0.43.0) Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg running dist_info writing geopandas.egg-info/PKG-INFO writing dependency_links to geopandas.egg-info/dependency_links.txt writing requirements to geopandas.egg-info/requires.txt writing top-level names to geopandas.egg-info/top_level.txt reading manifest file 'geopandas.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' adding license file 'LICENSE.txt' writing manifest file 'geopandas.egg-info/SOURCES.txt' Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg creating '/builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/geopandas-1.1.0.dist-info' Handling numpy >=1.24 from hook generated metadata: Requires-Dist (geopandas) Requirement satisfied: numpy >=1.24 (installed: numpy 1.26.4) Handling pyogrio >=0.7.2 from hook generated metadata: Requires-Dist (geopandas) Requirement satisfied: pyogrio >=0.7.2 (installed: pyogrio 0.11.0) Handling packaging from hook generated metadata: Requires-Dist (geopandas) Requirement satisfied: packaging (installed: packaging 24.2) Handling pandas >=2.0.0 from hook generated metadata: Requires-Dist (geopandas) Requirement satisfied: pandas >=2.0.0 (installed: pandas 2.2.1) Handling pyproj >=3.5.0 from hook generated metadata: Requires-Dist (geopandas) Requirement satisfied: pyproj >=3.5.0 (installed: pyproj 3.7.0) Handling shapely >=2.0.0 from hook generated metadata: Requires-Dist (geopandas) Requirement satisfied: shapely >=2.0.0 (installed: shapely 2.0.7) Handling psycopg[binary] >=3.1.0 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: psycopg[binary] >=3.1.0 ; extra == 'all' Handling SQLAlchemy >=2.0 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: SQLAlchemy >=2.0 ; extra == 'all' Handling geopy ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: geopy ; extra == 'all' Handling matplotlib >=3.7 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: matplotlib >=3.7 ; extra == 'all' Handling mapclassify >=2.5 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: mapclassify >=2.5 ; extra == 'all' Handling xyzservices ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: xyzservices ; extra == 'all' Handling folium ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: folium ; extra == 'all' Handling GeoAlchemy2 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: GeoAlchemy2 ; extra == 'all' Handling pyarrow >=10.0.0 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: pyarrow >=10.0.0 ; extra == 'all' Handling scipy ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: scipy ; extra == 'all' Handling pytest >=3.1.0 ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: pytest >=3.1.0 ; extra == 'dev' Handling pytest-cov ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: pytest-cov ; extra == 'dev' Handling pytest-xdist ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: pytest-xdist ; extra == 'dev' Handling codecov ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: codecov ; extra == 'dev' Handling pre-commit ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: pre-commit ; extra == 'dev' Handling ruff ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: ruff ; extra == 'dev' + cat /builddir/build/BUILD/python-geopandas-1.1.0-build/python-geopandas-1.1.0-3.fc41.x86_64-pyproject-buildrequires + rm -rfv geopandas-1.1.0.dist-info/ removed 'geopandas-1.1.0.dist-info/LICENSE.txt' removed 'geopandas-1.1.0.dist-info/METADATA' removed 'geopandas-1.1.0.dist-info/top_level.txt' removed directory 'geopandas-1.1.0.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-geopandas-1.1.0-3.fc41.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: updates 100% | 82.0 KiB/s | 21.7 KiB | 00m00s fedora 100% | 106.2 KiB/s | 29.3 KiB | 00m00s Copr repository 100% | 138.9 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Nothing to do. Package "pyproject-rpm-macros-1.18.2-1.fc41.noarch" is already installed. Package "python3-devel-3.13.5-1.fc41.x86_64" is already installed. Package "python3-fiona-1.10.1-1.fc41.x86_64" is already installed. Package "python3-fsspec-2025.3.2-1.fc41.noarch" is already installed. Package "python3-geopy-2.4.1-6.fc41.noarch" is already installed. Package "python3-mapclassify-2.8.1-1.fc41.noarch" is already installed. Package "python3-matplotlib-3.9.4-2.fc41.x86_64" is already installed. Package "python3-numpy-1:1.26.4-8.fc41.x86_64" is already installed. Package "python3-packaging-24.2-3.fc41.noarch" is already installed. Package "python3-pandas-2.2.1-7.fc41.x86_64" is already installed. Package "python3-pandas+test-2.2.1-7.fc41.x86_64" is already installed. Package "python3-pip-24.2-1.fc41.noarch" is already installed. Package "python3-psycopg3-3.2.1-3.fc41.noarch" is already installed. Package "python3-pyarrow-16.1.0-14.fc41.x86_64" is already installed. Package "python3-pyogrio-0.11.0-1.fc41.x86_64" is already installed. Package "python3-pyproj-3.7.0-1.fc41.x86_64" is already installed. Package "python3-pytest-8.3.4-1.fc41.noarch" is already installed. Package "python3-setuptools-69.2.0-10.fc41.noarch" is already installed. Package "python3-shapely-2.0.7-1.fc41.x86_64" is already installed. Package "python3-sqlalchemy-2.0.41-1.fc41.x86_64" is already installed. Package "python3-wheel-1:0.43.0-4.fc41.noarch" is already installed. Package "python3-xyzservices-2024.6.0-2.fc41.noarch" is already installed. Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1753056000 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.99U4Ce + umask 022 + cd /builddir/build/BUILD/python-geopandas-1.1.0-build + cd geopandas-1.1.0 + echo pyproject-rpm-macros + echo python3-devel + echo 'python3dist(packaging)' + echo 'python3dist(pip) >= 19' + '[' -f pyproject.toml ']' + echo '(python3dist(tomli) if python3-devel < 3.11)' + rm -rfv '*.dist-info/' + '[' -f /usr/bin/python3 ']' + mkdir -p /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir + echo -n + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 ' + LT_SYS_LIBRARY_PATH=/usr/lib64: + CC=gcc + CXX=g++ + TMPDIR=/builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir + RPM_TOXENV=py313 + FEDORA=41 + HOSTNAME=rpmbuild + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject-wheeldir --output /builddir/build/BUILD/python-geopandas-1.1.0-build/python-geopandas-1.1.0-3.fc41.x86_64-pyproject-buildrequires Handling setuptools>=61.0.0 from build-system.requires Requirement satisfied: setuptools>=61.0.0 (installed: setuptools 69.2.0) Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg running egg_info writing geopandas.egg-info/PKG-INFO writing dependency_links to geopandas.egg-info/dependency_links.txt writing requirements to geopandas.egg-info/requires.txt writing top-level names to geopandas.egg-info/top_level.txt reading manifest file 'geopandas.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' adding license file 'LICENSE.txt' writing manifest file 'geopandas.egg-info/SOURCES.txt' Handling wheel from get_requires_for_build_wheel Requirement satisfied: wheel (installed: wheel 0.43.0) Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg running dist_info writing geopandas.egg-info/PKG-INFO writing dependency_links to geopandas.egg-info/dependency_links.txt writing requirements to geopandas.egg-info/requires.txt writing top-level names to geopandas.egg-info/top_level.txt reading manifest file 'geopandas.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' adding license file 'LICENSE.txt' writing manifest file 'geopandas.egg-info/SOURCES.txt' Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg creating '/builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/geopandas-1.1.0.dist-info' Handling numpy >=1.24 from hook generated metadata: Requires-Dist (geopandas) Requirement satisfied: numpy >=1.24 (installed: numpy 1.26.4) Handling pyogrio >=0.7.2 from hook generated metadata: Requires-Dist (geopandas) Requirement satisfied: pyogrio >=0.7.2 (installed: pyogrio 0.11.0) Handling packaging from hook generated metadata: Requires-Dist (geopandas) Requirement satisfied: packaging (installed: packaging 24.2) Handling pandas >=2.0.0 from hook generated metadata: Requires-Dist (geopandas) Requirement satisfied: pandas >=2.0.0 (installed: pandas 2.2.1) Handling pyproj >=3.5.0 from hook generated metadata: Requires-Dist (geopandas) Requirement satisfied: pyproj >=3.5.0 (installed: pyproj 3.7.0) Handling shapely >=2.0.0 from hook generated metadata: Requires-Dist (geopandas) Requirement satisfied: shapely >=2.0.0 (installed: shapely 2.0.7) Handling psycopg[binary] >=3.1.0 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: psycopg[binary] >=3.1.0 ; extra == 'all' Handling SQLAlchemy >=2.0 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: SQLAlchemy >=2.0 ; extra == 'all' Handling geopy ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: geopy ; extra == 'all' Handling matplotlib >=3.7 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: matplotlib >=3.7 ; extra == 'all' Handling mapclassify >=2.5 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: mapclassify >=2.5 ; extra == 'all' Handling xyzservices ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: xyzservices ; extra == 'all' Handling folium ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: folium ; extra == 'all' Handling GeoAlchemy2 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: GeoAlchemy2 ; extra == 'all' Handling pyarrow >=10.0.0 ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: pyarrow >=10.0.0 ; extra == 'all' Handling scipy ; extra == 'all' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: scipy ; extra == 'all' Handling pytest >=3.1.0 ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: pytest >=3.1.0 ; extra == 'dev' Handling pytest-cov ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: pytest-cov ; extra == 'dev' Handling pytest-xdist ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: pytest-xdist ; extra == 'dev' Handling codecov ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: codecov ; extra == 'dev' Handling pre-commit ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: pre-commit ; extra == 'dev' Handling ruff ; extra == 'dev' from hook generated metadata: Requires-Dist (geopandas) Ignoring alien requirement: ruff ; extra == 'dev' + cat /builddir/build/BUILD/python-geopandas-1.1.0-build/python-geopandas-1.1.0-3.fc41.x86_64-pyproject-buildrequires + rm -rfv geopandas-1.1.0.dist-info/ removed 'geopandas-1.1.0.dist-info/LICENSE.txt' removed 'geopandas-1.1.0.dist-info/METADATA' removed 'geopandas-1.1.0.dist-info/top_level.txt' removed directory 'geopandas-1.1.0.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.qx8YfH + umask 022 + cd /builddir/build/BUILD/python-geopandas-1.1.0-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd geopandas-1.1.0 + mkdir -p /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + LT_SYS_LIBRARY_PATH=/usr/lib64: + CC=gcc + CXX=g++ + TMPDIR=/builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject-wheeldir Processing /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0 Preparing metadata (pyproject.toml): started Running command Preparing metadata (pyproject.toml) Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg running dist_info creating /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir/pip-modern-metadata-2uryurle/geopandas.egg-info writing /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir/pip-modern-metadata-2uryurle/geopandas.egg-info/PKG-INFO writing dependency_links to /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir/pip-modern-metadata-2uryurle/geopandas.egg-info/dependency_links.txt writing requirements to /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir/pip-modern-metadata-2uryurle/geopandas.egg-info/requires.txt writing top-level names to /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir/pip-modern-metadata-2uryurle/geopandas.egg-info/top_level.txt writing manifest file '/builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir/pip-modern-metadata-2uryurle/geopandas.egg-info/SOURCES.txt' reading manifest file '/builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir/pip-modern-metadata-2uryurle/geopandas.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' adding license file 'LICENSE.txt' writing manifest file '/builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir/pip-modern-metadata-2uryurle/geopandas.egg-info/SOURCES.txt' Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg creating '/builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir/pip-modern-metadata-2uryurle/geopandas-1.1.0.dist-info' Preparing metadata (pyproject.toml): finished with status 'done' Building wheels for collected packages: geopandas Building wheel for geopandas (pyproject.toml): started Running command Building wheel for geopandas (pyproject.toml) Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg running bdist_wheel running build running build_py Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg creating build creating build/lib creating build/lib/geopandas copying geopandas/testing.py -> build/lib/geopandas copying geopandas/sindex.py -> build/lib/geopandas copying geopandas/plotting.py -> build/lib/geopandas copying geopandas/geoseries.py -> build/lib/geopandas copying geopandas/geodataframe.py -> build/lib/geopandas copying geopandas/explore.py -> build/lib/geopandas copying geopandas/conftest.py -> build/lib/geopandas copying geopandas/base.py -> build/lib/geopandas copying geopandas/array.py -> build/lib/geopandas copying geopandas/accessors.py -> build/lib/geopandas copying geopandas/_version.py -> build/lib/geopandas copying geopandas/_decorator.py -> build/lib/geopandas copying geopandas/_config.py -> build/lib/geopandas copying geopandas/_compat.py -> build/lib/geopandas copying geopandas/__init__.py -> build/lib/geopandas creating build/lib/geopandas/tools copying geopandas/tools/util.py -> build/lib/geopandas/tools copying geopandas/tools/sjoin.py -> build/lib/geopandas/tools copying geopandas/tools/overlay.py -> build/lib/geopandas/tools copying geopandas/tools/hilbert_curve.py -> build/lib/geopandas/tools copying geopandas/tools/geocoding.py -> build/lib/geopandas/tools copying geopandas/tools/clip.py -> build/lib/geopandas/tools copying geopandas/tools/_show_versions.py -> build/lib/geopandas/tools copying geopandas/tools/_random.py -> build/lib/geopandas/tools copying geopandas/tools/__init__.py -> build/lib/geopandas/tools creating build/lib/geopandas/tests copying geopandas/tests/util.py -> build/lib/geopandas/tests copying geopandas/tests/test_types.py -> build/lib/geopandas/tests copying geopandas/tests/test_testing.py -> build/lib/geopandas/tests copying geopandas/tests/test_sindex.py -> build/lib/geopandas/tests copying geopandas/tests/test_show_versions.py -> build/lib/geopandas/tests copying geopandas/tests/test_plotting.py -> build/lib/geopandas/tests copying geopandas/tests/test_pandas_methods.py -> build/lib/geopandas/tests copying geopandas/tests/test_pandas_accessor.py -> build/lib/geopandas/tests copying geopandas/tests/test_overlay.py -> build/lib/geopandas/tests copying geopandas/tests/test_op_output_types.py -> build/lib/geopandas/tests copying geopandas/tests/test_merge.py -> build/lib/geopandas/tests copying geopandas/tests/test_geoseries.py -> build/lib/geopandas/tests copying geopandas/tests/test_geom_methods.py -> build/lib/geopandas/tests copying geopandas/tests/test_geodataframe.py -> build/lib/geopandas/tests copying geopandas/tests/test_geocode.py -> build/lib/geopandas/tests copying geopandas/tests/test_extension_array.py -> build/lib/geopandas/tests copying geopandas/tests/test_explore.py -> build/lib/geopandas/tests copying geopandas/tests/test_dissolve.py -> build/lib/geopandas/tests copying geopandas/tests/test_decorator.py -> build/lib/geopandas/tests copying geopandas/tests/test_datasets.py -> build/lib/geopandas/tests copying geopandas/tests/test_crs.py -> build/lib/geopandas/tests copying geopandas/tests/test_config.py -> build/lib/geopandas/tests copying geopandas/tests/test_compat.py -> build/lib/geopandas/tests copying geopandas/tests/test_array.py -> build/lib/geopandas/tests copying geopandas/tests/test_api.py -> build/lib/geopandas/tests copying geopandas/tests/__init__.py -> build/lib/geopandas/tests creating build/lib/geopandas/io copying geopandas/io/util.py -> build/lib/geopandas/io copying geopandas/io/sql.py -> build/lib/geopandas/io copying geopandas/io/file.py -> build/lib/geopandas/io copying geopandas/io/arrow.py -> build/lib/geopandas/io copying geopandas/io/_pyarrow_hotfix.py -> build/lib/geopandas/io copying geopandas/io/_geoarrow.py -> build/lib/geopandas/io copying geopandas/io/__init__.py -> build/lib/geopandas/io creating build/lib/geopandas/datasets copying geopandas/datasets/__init__.py -> build/lib/geopandas/datasets creating build/lib/geopandas/tools/tests copying geopandas/tools/tests/test_tools.py -> build/lib/geopandas/tools/tests copying geopandas/tools/tests/test_sjoin.py -> build/lib/geopandas/tools/tests copying geopandas/tools/tests/test_random.py -> build/lib/geopandas/tools/tests copying geopandas/tools/tests/test_hilbert_curve.py -> build/lib/geopandas/tools/tests copying geopandas/tools/tests/test_clip.py -> build/lib/geopandas/tools/tests copying geopandas/tools/tests/__init__.py -> build/lib/geopandas/tools/tests creating build/lib/geopandas/io/tests copying geopandas/io/tests/test_sql.py -> build/lib/geopandas/io/tests copying geopandas/io/tests/test_pickle.py -> build/lib/geopandas/io/tests copying geopandas/io/tests/test_infer_schema.py -> build/lib/geopandas/io/tests copying geopandas/io/tests/test_geoarrow.py -> build/lib/geopandas/io/tests copying geopandas/io/tests/test_file_geom_types_drivers.py -> build/lib/geopandas/io/tests copying geopandas/io/tests/test_file.py -> build/lib/geopandas/io/tests copying geopandas/io/tests/test_arrow.py -> build/lib/geopandas/io/tests copying geopandas/io/tests/generate_legacy_storage_files.py -> build/lib/geopandas/io/tests copying geopandas/io/tests/__init__.py -> build/lib/geopandas/io/tests running egg_info writing geopandas.egg-info/PKG-INFO writing dependency_links to geopandas.egg-info/dependency_links.txt writing requirements to geopandas.egg-info/requires.txt writing top-level names to geopandas.egg-info/top_level.txt reading manifest file 'geopandas.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' adding license file 'LICENSE.txt' writing manifest file 'geopandas.egg-info/SOURCES.txt' Failed to load config from /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject.toml: 'versioneer' Try to load it from setup.cfg creating build/lib/geopandas/tests/data copying geopandas/tests/data/null_geom.geojson -> build/lib/geopandas/tests/data UPDATING build/lib/geopandas/_version.py set build/lib/geopandas/_version.py to '1.1.0' installing to build/bdist.linux-x86_64/wheel running install running install_lib creating build/bdist.linux-x86_64 creating build/bdist.linux-x86_64/wheel creating build/bdist.linux-x86_64/wheel/geopandas creating build/bdist.linux-x86_64/wheel/geopandas/datasets copying build/lib/geopandas/datasets/__init__.py -> build/bdist.linux-x86_64/wheel/geopandas/datasets creating build/bdist.linux-x86_64/wheel/geopandas/io creating build/bdist.linux-x86_64/wheel/geopandas/io/tests copying build/lib/geopandas/io/tests/__init__.py -> build/bdist.linux-x86_64/wheel/geopandas/io/tests copying build/lib/geopandas/io/tests/generate_legacy_storage_files.py -> build/bdist.linux-x86_64/wheel/geopandas/io/tests copying build/lib/geopandas/io/tests/test_arrow.py -> build/bdist.linux-x86_64/wheel/geopandas/io/tests copying build/lib/geopandas/io/tests/test_file.py -> build/bdist.linux-x86_64/wheel/geopandas/io/tests copying build/lib/geopandas/io/tests/test_file_geom_types_drivers.py -> build/bdist.linux-x86_64/wheel/geopandas/io/tests copying build/lib/geopandas/io/tests/test_geoarrow.py -> build/bdist.linux-x86_64/wheel/geopandas/io/tests copying build/lib/geopandas/io/tests/test_infer_schema.py -> build/bdist.linux-x86_64/wheel/geopandas/io/tests copying build/lib/geopandas/io/tests/test_pickle.py -> build/bdist.linux-x86_64/wheel/geopandas/io/tests copying build/lib/geopandas/io/tests/test_sql.py -> build/bdist.linux-x86_64/wheel/geopandas/io/tests copying build/lib/geopandas/io/__init__.py -> build/bdist.linux-x86_64/wheel/geopandas/io copying build/lib/geopandas/io/_geoarrow.py -> build/bdist.linux-x86_64/wheel/geopandas/io copying build/lib/geopandas/io/_pyarrow_hotfix.py -> build/bdist.linux-x86_64/wheel/geopandas/io copying build/lib/geopandas/io/arrow.py -> build/bdist.linux-x86_64/wheel/geopandas/io copying build/lib/geopandas/io/file.py -> build/bdist.linux-x86_64/wheel/geopandas/io copying build/lib/geopandas/io/sql.py -> build/bdist.linux-x86_64/wheel/geopandas/io copying build/lib/geopandas/io/util.py -> build/bdist.linux-x86_64/wheel/geopandas/io creating build/bdist.linux-x86_64/wheel/geopandas/tests creating build/bdist.linux-x86_64/wheel/geopandas/tests/data copying build/lib/geopandas/tests/data/null_geom.geojson -> build/bdist.linux-x86_64/wheel/geopandas/tests/data copying build/lib/geopandas/tests/__init__.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_api.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_array.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_compat.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_config.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_crs.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_datasets.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_decorator.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_dissolve.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_explore.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_extension_array.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_geocode.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_geodataframe.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_geom_methods.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_geoseries.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_merge.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_op_output_types.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_overlay.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_pandas_accessor.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_pandas_methods.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_plotting.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_show_versions.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_sindex.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_testing.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/test_types.py -> build/bdist.linux-x86_64/wheel/geopandas/tests copying build/lib/geopandas/tests/util.py -> build/bdist.linux-x86_64/wheel/geopandas/tests creating build/bdist.linux-x86_64/wheel/geopandas/tools creating build/bdist.linux-x86_64/wheel/geopandas/tools/tests copying build/lib/geopandas/tools/tests/__init__.py -> build/bdist.linux-x86_64/wheel/geopandas/tools/tests copying build/lib/geopandas/tools/tests/test_clip.py -> build/bdist.linux-x86_64/wheel/geopandas/tools/tests copying build/lib/geopandas/tools/tests/test_hilbert_curve.py -> build/bdist.linux-x86_64/wheel/geopandas/tools/tests copying build/lib/geopandas/tools/tests/test_random.py -> build/bdist.linux-x86_64/wheel/geopandas/tools/tests copying build/lib/geopandas/tools/tests/test_sjoin.py -> build/bdist.linux-x86_64/wheel/geopandas/tools/tests copying build/lib/geopandas/tools/tests/test_tools.py -> build/bdist.linux-x86_64/wheel/geopandas/tools/tests copying build/lib/geopandas/tools/__init__.py -> build/bdist.linux-x86_64/wheel/geopandas/tools copying build/lib/geopandas/tools/_random.py -> build/bdist.linux-x86_64/wheel/geopandas/tools copying build/lib/geopandas/tools/_show_versions.py -> build/bdist.linux-x86_64/wheel/geopandas/tools copying build/lib/geopandas/tools/clip.py -> build/bdist.linux-x86_64/wheel/geopandas/tools copying build/lib/geopandas/tools/geocoding.py -> build/bdist.linux-x86_64/wheel/geopandas/tools copying build/lib/geopandas/tools/hilbert_curve.py -> build/bdist.linux-x86_64/wheel/geopandas/tools copying build/lib/geopandas/tools/overlay.py -> build/bdist.linux-x86_64/wheel/geopandas/tools copying build/lib/geopandas/tools/sjoin.py -> build/bdist.linux-x86_64/wheel/geopandas/tools copying build/lib/geopandas/tools/util.py -> build/bdist.linux-x86_64/wheel/geopandas/tools copying build/lib/geopandas/__init__.py -> build/bdist.linux-x86_64/wheel/geopandas copying build/lib/geopandas/_compat.py -> build/bdist.linux-x86_64/wheel/geopandas copying build/lib/geopandas/_config.py -> build/bdist.linux-x86_64/wheel/geopandas copying build/lib/geopandas/_decorator.py -> build/bdist.linux-x86_64/wheel/geopandas copying build/lib/geopandas/_version.py -> build/bdist.linux-x86_64/wheel/geopandas copying build/lib/geopandas/accessors.py -> build/bdist.linux-x86_64/wheel/geopandas copying build/lib/geopandas/array.py -> build/bdist.linux-x86_64/wheel/geopandas copying build/lib/geopandas/base.py -> build/bdist.linux-x86_64/wheel/geopandas copying build/lib/geopandas/conftest.py -> build/bdist.linux-x86_64/wheel/geopandas copying build/lib/geopandas/explore.py -> build/bdist.linux-x86_64/wheel/geopandas copying build/lib/geopandas/geodataframe.py -> build/bdist.linux-x86_64/wheel/geopandas copying build/lib/geopandas/geoseries.py -> build/bdist.linux-x86_64/wheel/geopandas copying build/lib/geopandas/plotting.py -> build/bdist.linux-x86_64/wheel/geopandas copying build/lib/geopandas/sindex.py -> build/bdist.linux-x86_64/wheel/geopandas copying build/lib/geopandas/testing.py -> build/bdist.linux-x86_64/wheel/geopandas running install_egg_info Copying geopandas.egg-info to build/bdist.linux-x86_64/wheel/geopandas-1.1.0-py3.13.egg-info running install_scripts creating build/bdist.linux-x86_64/wheel/geopandas-1.1.0.dist-info/WHEEL creating '/builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir/pip-wheel-t0e539mg/.tmp-x117cgb9/geopandas-1.1.0-py3-none-any.whl' and adding 'build/bdist.linux-x86_64/wheel' to it adding 'geopandas/__init__.py' adding 'geopandas/_compat.py' adding 'geopandas/_config.py' adding 'geopandas/_decorator.py' adding 'geopandas/_version.py' adding 'geopandas/accessors.py' adding 'geopandas/array.py' adding 'geopandas/base.py' adding 'geopandas/conftest.py' adding 'geopandas/explore.py' adding 'geopandas/geodataframe.py' adding 'geopandas/geoseries.py' adding 'geopandas/plotting.py' adding 'geopandas/sindex.py' adding 'geopandas/testing.py' adding 'geopandas/datasets/__init__.py' adding 'geopandas/io/__init__.py' adding 'geopandas/io/_geoarrow.py' adding 'geopandas/io/_pyarrow_hotfix.py' adding 'geopandas/io/arrow.py' adding 'geopandas/io/file.py' adding 'geopandas/io/sql.py' adding 'geopandas/io/util.py' adding 'geopandas/io/tests/__init__.py' adding 'geopandas/io/tests/generate_legacy_storage_files.py' adding 'geopandas/io/tests/test_arrow.py' adding 'geopandas/io/tests/test_file.py' adding 'geopandas/io/tests/test_file_geom_types_drivers.py' adding 'geopandas/io/tests/test_geoarrow.py' adding 'geopandas/io/tests/test_infer_schema.py' adding 'geopandas/io/tests/test_pickle.py' adding 'geopandas/io/tests/test_sql.py' adding 'geopandas/tests/__init__.py' adding 'geopandas/tests/test_api.py' adding 'geopandas/tests/test_array.py' adding 'geopandas/tests/test_compat.py' adding 'geopandas/tests/test_config.py' adding 'geopandas/tests/test_crs.py' adding 'geopandas/tests/test_datasets.py' adding 'geopandas/tests/test_decorator.py' adding 'geopandas/tests/test_dissolve.py' adding 'geopandas/tests/test_explore.py' adding 'geopandas/tests/test_extension_array.py' adding 'geopandas/tests/test_geocode.py' adding 'geopandas/tests/test_geodataframe.py' adding 'geopandas/tests/test_geom_methods.py' adding 'geopandas/tests/test_geoseries.py' adding 'geopandas/tests/test_merge.py' adding 'geopandas/tests/test_op_output_types.py' adding 'geopandas/tests/test_overlay.py' adding 'geopandas/tests/test_pandas_accessor.py' adding 'geopandas/tests/test_pandas_methods.py' adding 'geopandas/tests/test_plotting.py' adding 'geopandas/tests/test_show_versions.py' adding 'geopandas/tests/test_sindex.py' adding 'geopandas/tests/test_testing.py' adding 'geopandas/tests/test_types.py' adding 'geopandas/tests/util.py' adding 'geopandas/tests/data/null_geom.geojson' adding 'geopandas/tools/__init__.py' adding 'geopandas/tools/_random.py' adding 'geopandas/tools/_show_versions.py' adding 'geopandas/tools/clip.py' adding 'geopandas/tools/geocoding.py' adding 'geopandas/tools/hilbert_curve.py' adding 'geopandas/tools/overlay.py' adding 'geopandas/tools/sjoin.py' adding 'geopandas/tools/util.py' adding 'geopandas/tools/tests/__init__.py' adding 'geopandas/tools/tests/test_clip.py' adding 'geopandas/tools/tests/test_hilbert_curve.py' adding 'geopandas/tools/tests/test_random.py' adding 'geopandas/tools/tests/test_sjoin.py' adding 'geopandas/tools/tests/test_tools.py' adding 'geopandas-1.1.0.dist-info/LICENSE.txt' adding 'geopandas-1.1.0.dist-info/METADATA' adding 'geopandas-1.1.0.dist-info/WHEEL' adding 'geopandas-1.1.0.dist-info/top_level.txt' adding 'geopandas-1.1.0.dist-info/RECORD' removing build/bdist.linux-x86_64/wheel Building wheel for geopandas (pyproject.toml): finished with status 'done' Created wheel for geopandas: filename=geopandas-1.1.0-py3-none-any.whl size=337204 sha256=fe67f5c0261ac303ec30bceac55deb6eeab463645e50c9c28126c6fa08c38b54 Stored in directory: /builddir/.cache/pip/wheels/b0/cb/09/d2ff1d16610145d3c848e2cd781d5338893ccfe914bfd4e74c Successfully built geopandas + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.15cCC4 + umask 022 + cd /builddir/build/BUILD/python-geopandas-1.1.0-build + '[' /builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT '!=' / ']' + rm -rf /builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT ++ dirname /builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT + mkdir -p /builddir/build/BUILD/python-geopandas-1.1.0-build + mkdir /builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd geopandas-1.1.0 ++ ls /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject-wheeldir/geopandas-1.1.0-py3-none-any.whl ++ xargs basename --multiple ++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/' + specifier=geopandas==1.1.0 + '[' -z geopandas==1.1.0 ']' + TMPDIR=/builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir + /usr/bin/python3 -m pip install --root /builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT --prefix /usr --no-deps --disable-pip-version-check --progress-bar off --verbose --ignore-installed --no-warn-script-location --no-index --no-cache-dir --find-links /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject-wheeldir geopandas==1.1.0 Using pip 24.2 from /usr/lib/python3.13/site-packages/pip (python 3.13) Looking in links: /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/pyproject-wheeldir Processing ./pyproject-wheeldir/geopandas-1.1.0-py3-none-any.whl Installing collected packages: geopandas Successfully installed geopandas-1.1.0 + '[' -d /builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT/usr/bin ']' + rm -f /builddir/build/BUILD/python-geopandas-1.1.0-build/python-geopandas-1.1.0-3.fc41.x86_64-pyproject-ghost-distinfo + site_dirs=() + '[' -d /builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT/usr/lib/python3.13/site-packages ']' + site_dirs+=("/usr/lib/python3.13/site-packages") + '[' /builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT/usr/lib64/python3.13/site-packages '!=' /builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT/usr/lib/python3.13/site-packages ']' + '[' -d /builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT/usr/lib64/python3.13/site-packages ']' + for site_dir in ${site_dirs[@]} + for distinfo in /builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT$site_dir/*.dist-info + echo '%ghost /usr/lib/python3.13/site-packages/geopandas-1.1.0.dist-info' + sed -i s/pip/rpm/ /builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT/usr/lib/python3.13/site-packages/geopandas-1.1.0.dist-info/INSTALLER + PYTHONPATH=/usr/lib/rpm/redhat + /usr/bin/python3 -B /usr/lib/rpm/redhat/pyproject_preprocess_record.py --buildroot /builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT --record /builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT/usr/lib/python3.13/site-packages/geopandas-1.1.0.dist-info/RECORD --output /builddir/build/BUILD/python-geopandas-1.1.0-build/python-geopandas-1.1.0-3.fc41.x86_64-pyproject-record + rm -fv /builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT/usr/lib/python3.13/site-packages/geopandas-1.1.0.dist-info/RECORD removed '/builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT/usr/lib/python3.13/site-packages/geopandas-1.1.0.dist-info/RECORD' + rm -fv /builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT/usr/lib/python3.13/site-packages/geopandas-1.1.0.dist-info/REQUESTED removed '/builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT/usr/lib/python3.13/site-packages/geopandas-1.1.0.dist-info/REQUESTED' ++ wc -l /builddir/build/BUILD/python-geopandas-1.1.0-build/python-geopandas-1.1.0-3.fc41.x86_64-pyproject-ghost-distinfo ++ cut -f1 '-d ' + lines=1 + '[' 1 -ne 1 ']' + RPM_FILES_ESCAPE=4.19 + /usr/bin/python3 /usr/lib/rpm/redhat/pyproject_save_files.py --output-files /builddir/build/BUILD/python-geopandas-1.1.0-build/python-geopandas-1.1.0-3.fc41.x86_64-pyproject-files --output-modules /builddir/build/BUILD/python-geopandas-1.1.0-build/python-geopandas-1.1.0-3.fc41.x86_64-pyproject-modules --buildroot /builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT --sitelib /usr/lib/python3.13/site-packages --sitearch /usr/lib64/python3.13/site-packages --python-version 3.13 --pyproject-record /builddir/build/BUILD/python-geopandas-1.1.0-build/python-geopandas-1.1.0-3.fc41.x86_64-pyproject-record --prefix /usr geopandas + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/redhat/brp-ldconfig + /usr/lib/rpm/brp-compress + /usr/lib/rpm/brp-strip /usr/bin/strip + /usr/lib/rpm/brp-strip-comment-note /usr/bin/strip /usr/bin/objdump + /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip + /usr/lib/rpm/check-rpaths + /usr/lib/rpm/redhat/brp-mangle-shebangs + /usr/lib/rpm/brp-remove-la-files + env 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files, processed 113 inodes, 113 modified (80 replaced + 33 rewritten), 0 unsupported format, 0 errors Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.ZZBKo4 + umask 022 + cd /builddir/build/BUILD/python-geopandas-1.1.0-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd geopandas-1.1.0 + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + PATH=/builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/sbin + PYTHONPATH=/builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT/usr/lib64/python3.13/site-packages:/builddir/build/BUILD/python-geopandas-1.1.0-build/BUILDROOT/usr/lib/python3.13/site-packages + PYTHONDONTWRITEBYTECODE=1 + PYTEST_ADDOPTS=' --ignore=/builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/.pyproject-builddir' + PYTEST_XDIST_AUTO_NUM_WORKERS=4 + /usr/bin/pytest -ra geopandas -m 'not web' ============================= test session starts ============================== platform linux -- Python 3.13.5, pytest-8.3.4, pluggy-1.5.0 rootdir: /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0 configfile: pyproject.toml plugins: xdist-3.6.1, hypothesis-6.104.2 collected 2735 items / 8 deselected / 1 skipped / 2727 selected geopandas/io/tests/test_arrow.py ....................................... [ 1%] ................................s....................................... [ 4%] ..................... [ 4%] geopandas/io/tests/test_file.py ........................................ [ 6%] ..ss....ssss....ss....ssss.............................................. [ 8%] .......................................................x...x..x...x..... [ 11%] .....................................................s.................. [ 14%] ..................s.........ss. [ 15%] geopandas/io/tests/test_file_geom_types_drivers.py ..................... [ 16%] ........................................................................ [ 18%] ................... [ 19%] geopandas/io/tests/test_geoarrow.py .................................... [ 20%] ...............ssssssssssss.................sssssssssssss. [ 22%] geopandas/io/tests/test_infer_schema.py ....................... [ 23%] geopandas/io/tests/test_pickle.py sss. [ 23%] geopandas/io/tests/test_sql.py ssssssss..sssssssssssssssssssssssss [ 25%] geopandas/tests/test_api.py . [ 25%] geopandas/tests/test_array.py .......................................... [ 26%] .........................................................s.....ss...... [ 29%] geopandas/tests/test_compat.py ......... [ 29%] geopandas/tests/test_config.py ... [ 29%] geopandas/tests/test_crs.py ............................................ [ 31%] .............................. [ 32%] geopandas/tests/test_datasets.py .... [ 32%] geopandas/tests/test_decorator.py .... [ 32%] geopandas/tests/test_dissolve.py ...................s [ 33%] geopandas/tests/test_extension_array.py ................................ [ 34%] ........................................................................ [ 37%] xx....................................................x................. 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[ 65%] geopandas/tests/test_op_output_types.py .....x.......................... [ 66%] . [ 66%] geopandas/tests/test_overlay.py ..........................s............. [ 68%] s....................................................................... [ 70%] .................. [ 71%] geopandas/tests/test_pandas_accessor.py ..... [ 71%] geopandas/tests/test_pandas_methods.py ..............................XX. [ 72%] ................... [ 73%] geopandas/tests/test_plotting.py ....................................... [ 75%] ....s......s.........s.s...................................sssssssssss.s [ 77%] ... [ 77%] geopandas/tests/test_show_versions.py .... [ 77%] geopandas/tests/test_sindex.py ................s.........F..F..F..F..F.. [ 79%] F..F..F..F..F..F..F..F..F..F..F..F..F..F..F..F..F..F..F..F..F..F..F..F.. [ 82%] ..................s.......x............................................. [ 84%] ...................................................x.................... 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[100%] =================================== FAILURES =================================== ______ TestShapelyInterface.test_query[None-test_geom0-expected0-sparse] _______ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b151d6cf0> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = None test_geom = expected = [], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b151d6cf0> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ______ TestShapelyInterface.test_query[None-test_geom1-expected1-sparse] _______ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0ff5e210> arg1 = (array([ True]), array([[0]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = None test_geom = expected = [0], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0ff5e210> arg1 = (array([ True]), array([[0]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ______ TestShapelyInterface.test_query[None-test_geom2-expected2-sparse] _______ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0fd36c10> arg1 = (array([ True, True]), array([[0, 1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = None, test_geom = expected = [0, 1], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0fd36c10> arg1 = (array([ True, True]), array([[0, 1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ______ TestShapelyInterface.test_query[None-test_geom3-expected3-sparse] _______ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0f3b3ce0> arg1 = (array([ True, True]), array([[0, 1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = None, test_geom = , expected = [0, 1] output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0f3b3ce0> arg1 = (array([ True, True]), array([[0, 1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ___ TestShapelyInterface.test_query[intersects-test_geom4-expected4-sparse] ____ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0f3b3bb0> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'intersects' test_geom = expected = [], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0f3b3bb0> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ___ TestShapelyInterface.test_query[intersects-test_geom5-expected5-sparse] ____ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0f1ad130> arg1 = (array([ True]), array([[0]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'intersects' test_geom = expected = [0], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0f1ad130> arg1 = (array([ True]), array([[0]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ___ TestShapelyInterface.test_query[intersects-test_geom6-expected6-sparse] ____ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b11496470> arg1 = (array([ True, True]), array([[0, 1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'intersects', test_geom = expected = [0, 1], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b11496470> arg1 = (array([ True, True]), array([[0, 1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ___ TestShapelyInterface.test_query[intersects-test_geom7-expected7-sparse] ____ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b11496be0> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'intersects', test_geom = , expected = [] output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b11496be0> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError _____ TestShapelyInterface.test_query[within-test_geom8-expected8-sparse] ______ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0f469e50> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'within' test_geom = expected = [], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0f469e50> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError _____ TestShapelyInterface.test_query[within-test_geom9-expected9-sparse] ______ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0f469150> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'within', test_geom = expected = [], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0f469150> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ____ TestShapelyInterface.test_query[within-test_geom10-expected10-sparse] _____ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0f4168a0> arg1 = (array([ True]), array([[5]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'within' test_geom = , expected = [5] output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0f4168a0> arg1 = (array([ True]), array([[5]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ____ TestShapelyInterface.test_query[within-test_geom11-expected11-sparse] _____ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0f417020> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'within', test_geom = , expected = [] output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0f417020> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ___ TestShapelyInterface.test_query[contains-test_geom12-expected12-sparse] ____ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0fcbb5b0> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'contains', test_geom = expected = [], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0fcbb5b0> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ___ TestShapelyInterface.test_query[contains-test_geom13-expected13-sparse] ____ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0fefa0b0> arg1 = (array([ True]), array([[1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'contains' test_geom = expected = [1], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0fefa0b0> arg1 = (array([ True]), array([[1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ___ TestShapelyInterface.test_query[contains-test_geom14-expected14-sparse] ____ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0edb61a0> arg1 = (array([ True]), array([[1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'contains' test_geom = expected = [1], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0edb61a0> arg1 = (array([ True]), array([[1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ___ TestShapelyInterface.test_query[contains-test_geom15-expected15-sparse] ____ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b14da2810> arg1 = (array([ True, True]), array([[0, 1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'contains', test_geom = expected = [0, 1], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b14da2810> arg1 = (array([ True, True]), array([[0, 1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ___ TestShapelyInterface.test_query[contains-test_geom16-expected16-sparse] ____ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b14da3950> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'contains', test_geom = , expected = [] output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b14da3950> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ____ TestShapelyInterface.test_query[touches-test_geom17-expected17-sparse] ____ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b152d68e0> arg1 = (array([ True]), array([[0]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'touches', test_geom = expected = [0], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b152d68e0> arg1 = (array([ True]), array([[0]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ____ TestShapelyInterface.test_query[touches-test_geom18-expected18-sparse] ____ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b152d6830> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'touches' test_geom = expected = [], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b152d6830> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ___ TestShapelyInterface.test_query[contains-test_geom19-expected19-sparse] ____ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b14d389b0> arg1 = (array([ True]), array([[5]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'contains' test_geom = , expected = [5] output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b14d389b0> arg1 = (array([ True]), array([[5]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ____ TestShapelyInterface.test_query[covers-test_geom20-expected20-sparse] _____ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b14d3a030> arg1 = (array([ True, True]), array([[0, 1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'covers' test_geom = expected = [0, 1], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b14d3a030> arg1 = (array([ True, True]), array([[0, 1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ____ TestShapelyInterface.test_query[covers-test_geom21-expected21-sparse] _____ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b114416d0> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'covers' test_geom = expected = [], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b114416d0> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError ____ TestShapelyInterface.test_query[covers-test_geom22-expected22-sparse] _____ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b151252d0> arg1 = (array([ True, True]), array([[0, 1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'covers', test_geom = expected = [0, 1], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b151252d0> arg1 = (array([ True, True]), array([[0, 1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError _ TestShapelyInterface.test_query[contains_properly-test_geom23-expected23-sparse] _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b151256d0> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'contains_properly' test_geom = , expected = [] output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b151256d0> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError _ TestShapelyInterface.test_query[contains_properly-test_geom24-expected24-sparse] _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b131ca190> arg1 = (array([ True]), array([[1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'contains_properly' test_geom = expected = [1], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b131ca190> arg1 = (array([ True]), array([[1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError _ TestShapelyInterface.test_query[contains_properly-test_geom25-expected25-sparse] _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b131c9e80> arg1 = (array([ True]), array([[1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'contains_properly' test_geom = expected = [1], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b131c9e80> arg1 = (array([ True]), array([[1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError _ TestShapelyInterface.test_query[contains_properly-test_geom26-expected26-sparse] _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0fd5eed0> arg1 = (array([ True]), array([[1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'contains_properly' test_geom = expected = [1], output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0fd5eed0> arg1 = (array([ True]), array([[1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError _ TestShapelyInterface.test_query[contains_properly-test_geom27-expected27-sparse] _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0fd51970> arg1 = (array([ True, True]), array([[0, 1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'contains_properly' test_geom = , expected = [0, 1] output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0fd51970> arg1 = (array([ True, True]), array([[0, 1]])), shape = (6,) dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError _ TestShapelyInterface.test_query[contains_properly-test_geom28-expected28-sparse] _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0fd5fb30> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: > obj, (row, col) = arg1 E ValueError: not enough values to unpack (expected 2, got 1) /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:147: ValueError The above exception was the direct cause of the following exception: self = predicate = 'contains_properly' test_geom = , expected = [] output_format = 'sparse' @pytest.mark.parametrize( "output_format", ("indices", pytest.param("sparse", marks=SCIPY_MARK), "dense") ) @pytest.mark.parametrize( "predicate, test_geom, expected", ( (None, box(-1, -1, -0.5, -0.5), []), # bbox does not intersect (None, box(-0.5, -0.5, 0.5, 0.5), [0]), # bbox intersects (None, box(0, 0, 1, 1), [0, 1]), # bbox intersects multiple ( None, LineString([(0, 1), (1, 0)]), [0, 1], ), # bbox intersects but not geometry ("intersects", box(-1, -1, -0.5, -0.5), []), # bbox does not intersect ( "intersects", box(-0.5, -0.5, 0.5, 0.5), [0], ), # bbox and geometry intersect ( "intersects", box(0, 0, 1, 1), [0, 1], ), # bbox and geometry intersect multiple ( "intersects", LineString([(0, 1), (1, 0)]), [], ), # bbox intersects but not geometry ("within", box(0.25, 0.28, 0.75, 0.75), []), # does not intersect ("within", box(0, 0, 10, 10), []), # intersects but is not within ("within", box(11, 11, 12, 12), [5]), # intersects and is within ("within", LineString([(0, 1), (1, 0)]), []), # intersects but not within ("contains", box(0, 0, 1, 1), []), # intersects but does not contain ("contains", box(0, 0, 1.001, 1.001), [1]), # intersects and contains ("contains", box(0.5, 0.5, 1.5, 1.5), [1]), # intersects and contains ("contains", box(-1, -1, 2, 2), [0, 1]), # intersects and contains multiple ( "contains", LineString([(0, 1), (1, 0)]), [], ), # intersects but not contains ("touches", box(-1, -1, 0, 0), [0]), # bbox intersects and touches ( "touches", box(-0.5, -0.5, 1.5, 1.5), [], ), # bbox intersects but geom does not touch ( "contains", box(10, 10, 20, 20), [5], ), # contains but does not contains_properly ( "covers", box(-0.5, -0.5, 1, 1), [0, 1], ), # covers (0, 0) and (1, 1) ( "covers", box(0.001, 0.001, 0.99, 0.99), [], ), # does not cover any ( "covers", box(0, 0, 1, 1), [0, 1], ), # covers but does not contain ( "contains_properly", box(0, 0, 1, 1), [], ), # intersects but does not contain ( "contains_properly", box(0, 0, 1.001, 1.001), [1], ), # intersects 2 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.001, 1.001), [1], ), # intersects 1 and contains 1 ( "contains_properly", box(0.5, 0.5, 1.5, 1.5), [1], ), # intersects and contains ( "contains_properly", box(-1, -1, 2, 2), [0, 1], ), # intersects and contains multiple ( "contains_properly", box(10, 10, 20, 20), [], ), # contains but does not contains_properly ), ) def test_query(self, predicate, test_geom, expected, output_format): """Tests the `query` method with valid inputs and valid predicates.""" res = self.df.sindex.query(test_geom, predicate=predicate) assert_array_equal(res, expected) if output_format != "indices": dense = np.zeros(len(self.df), dtype=bool) dense[expected] = True > res = self.df.sindex.query( test_geom, predicate=predicate, output_format=output_format ) geopandas/tests/test_sindex.py:382: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ geopandas/sindex.py:315: in query return scipy.sparse.coo_array( _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ self = <[AttributeError("'coo_array' object has no attribute 'data'") raised in repr()] coo_array object at 0x7f9b0fd5fb30> arg1 = (array([], dtype=bool), array([], shape=(1, 0), dtype=int64)) shape = (6,), dtype = , copy = False def __init__(self, arg1, shape=None, dtype=None, copy=False): _data_matrix.__init__(self) if isinstance(arg1, tuple): if isshape(arg1): M, N = arg1 self._shape = check_shape((M, N)) idx_dtype = self._get_index_dtype(maxval=max(M, N)) data_dtype = getdtype(dtype, default=float) self.row = np.array([], dtype=idx_dtype) self.col = np.array([], dtype=idx_dtype) self.data = np.array([], dtype=data_dtype) self.has_canonical_format = True else: try: obj, (row, col) = arg1 except (TypeError, ValueError) as e: > raise TypeError('invalid input format') from e E TypeError: invalid input format /usr/lib64/python3.13/site-packages/scipy/sparse/_coo.py:149: TypeError =============================== warnings summary =============================== geopandas/io/tests/test_file.py::test_read_file_datetime_invalid[pyogrio-gpkg] /usr/lib64/python3.13/site-packages/pyogrio/raw.py:198: RuntimeWarning: Invalid content for record 3 in column date: 9999-99-99T00:00:00.000 return ogr_read( geopandas/io/tests/test_file.py::test_read_file_datetime_invalid[pyogrio-geojson] geopandas/io/tests/test_file.py::test_read_file_datetime_out_of_bounds_ns[pyogrio-geojson] geopandas/io/tests/test_file.py::test_read_file_datetime_mixed_offsets geopandas/io/tests/test_file.py::test_read_file_crs_warning_messages[fiona] geopandas/io/tests/test_file.py::test_read_file_crs_warning_messages[pyogrio] /usr/lib64/python3.13/site-packages/pyogrio/geopandas.py:710: UserWarning: 'crs' was not provided. The output dataset will not have projection information defined and may not be usable in other systems. write( geopandas/io/tests/test_file.py::test_to_file_column_len[pyogrio] /usr/lib64/python3.13/site-packages/pyogrio/raw.py:723: RuntimeWarning: Normalized/laundered field name: '0123456789A' to '0123456789' ogr_write( geopandas/io/tests/test_file.py::test_list_layers /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/geopandas/io/tests/test_file.py:1521: UserWarning: Geometry is in a geographic CRS. Results from 'buffer' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation. df_points.set_geometry(df_points.buffer(1)).to_file(tempfilename, layer="buffered") geopandas/io/tests/test_file.py::test_list_layers /builddir/build/BUILD/python-geopandas-1.1.0-build/geopandas-1.1.0/geopandas/io/tests/test_file.py:1522: UserWarning: Geometry is in a geographic CRS. Results from 'buffer' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation. df_points.set_geometry(df_points.buffer(2).boundary).to_file( geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_series_integer_with_missing_raises[integer-array] /usr/lib64/python3.13/site-packages/pandas/tests/extension/base/getitem.py:276: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]` ser[idx] geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_integer_with_missing_raises[list-True] /usr/lib64/python3.13/site-packages/pandas/tests/extension/base/setitem.py:227: FutureWarning: Series.__getitem__ treating keys as positions is deprecated. In a future version, integer keys will always be treated as labels (consistent with DataFrame behavior). To access a value by position, use `ser.iloc[pos]` arr[idx] = arr[0] geopandas/tests/test_extension_array.py::TestMissing::test_fillna_limit_backfill /usr/lib64/python3.13/site-packages/pandas/tests/extension/base/missing.py:107: FutureWarning: Series.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead. result = pd.Series(arr).fillna(method="backfill", limit=2) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html =================================== XPASSES ==================================== =========================== short test summary info ============================ SKIPPED [1] geopandas/tests/test_explore.py:14: could not import 'folium': No module named 'folium' SKIPPED [1] geopandas/io/tests/test_arrow.py:828: tests GEOS<3.10 SKIPPED [8] geopandas/io/tests/test_file.py:216: Driver corresponding to ext .shp doesn't support dt fields SKIPPED [4] geopandas/io/tests/test_file.py:216: Driver corresponding to ext doesn't support dt fields SKIPPED [1] geopandas/io/tests/test_file.py:994: test for fiona < 1.9 SKIPPED [1] geopandas/io/tests/test_file.py:1426: Fiona >= 1.9 supports metadata SKIPPED [1] geopandas/io/tests/test_file.py:1499: test for pyogrio not installed SKIPPED [1] geopandas/io/tests/test_file.py:1508: test for fiona not installed SKIPPED [12] geopandas/io/tests/test_geoarrow.py:377: could not import 'geoarrow.pyarrow': No module named 'geoarrow' SKIPPED [12] geopandas/io/tests/test_geoarrow.py:516: could not import 'geoarrow.pyarrow': No module named 'geoarrow' SKIPPED [1] geopandas/io/tests/test_geoarrow.py:537: could not import 'geoarrow.pyarrow': No module named 'geoarrow' SKIPPED [3] geopandas/io/tests/test_pickle.py:34: shapely 2.0/pygeos-based unpickling currently only works for shapely-2.0/pygeos-written files SKIPPED [1] geopandas/io/tests/test_sql.py:230: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:244: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:257: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:268: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:282: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:296: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:309: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:319: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:355: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:370: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:386: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:402: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:418: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:438: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:456: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:483: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:506: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:529: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:552: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:575: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:593: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:623: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:645: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:684: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:700: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:717: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:735: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:752: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:768: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:784: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:795: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:814: Cannot connect with postgresql database SKIPPED [1] geopandas/io/tests/test_sql.py:835: Cannot connect with postgresql database SKIPPED [1] geopandas/tests/test_array.py:971: pyproj installed SKIPPED [1] geopandas/tests/test_array.py:1006: pyproj installed SKIPPED [1] geopandas/tests/test_array.py:1016: pyproj installed SKIPPED [1] geopandas/tests/test_dissolve.py:359: Unsupported shapely/GEOS. SKIPPED [20] ../../../../../usr/lib64/python3.13/site-packages/pandas/tests/extension/base/reduce.py:123: geometry is not numeric dtype SKIPPED [1] geopandas/tests/test_extension_array.py:488: boolean reduce (any/all) tested in test_pandas_methods SKIPPED [1] geopandas/tests/test_extension_array.py:526: not applicable SKIPPED [1] geopandas/tests/test_extension_array.py:530: not applicable SKIPPED [2] ../../../../../usr/lib64/python3.13/site-packages/pandas/tests/extension/base/methods.py:443: does not support diff SKIPPED [2] geopandas/tests/test_extension_array.py:571: searchsorted not supported SKIPPED [1] geopandas/tests/test_extension_array.py:575: Not yet implemented SKIPPED [1] geopandas/tests/test_extension_array.py:579: addition not supported SKIPPED [1] geopandas/tests/test_extension_array.py:583: Not yet implemented SKIPPED [1] geopandas/tests/test_extension_array.py:589: Min/max not supported SKIPPED [1] geopandas/tests/test_extension_array.py:593: Min/max not supported SKIPPED [1] geopandas/tests/test_extension_array.py:597: Min/max not supported SKIPPED [1] geopandas/tests/test_extension_array.py:601: Min/max not supported SKIPPED [1] geopandas/tests/test_extension_array.py:605: Min/max not supported SKIPPED [2] ../../../../../usr/lib64/python3.13/site-packages/pandas/tests/extension/base/io.py:12: Not yet implemented SKIPPED [1] geopandas/tests/test_geom_methods.py:901: GEOS 3.12 and shapely 2.1 needed. SKIPPED [1] geopandas/tests/test_geom_methods.py:921: GEOS 3.12 and shapely 2.1 needed. SKIPPED [1] geopandas/tests/test_geom_methods.py:962: requires shapely 2.1 SKIPPED [1] geopandas/tests/test_geom_methods.py:987: requires shapely 2.1 SKIPPED [1] geopandas/tests/test_geom_methods.py:1041: requires Shapely>=2.1 SKIPPED [3] geopandas/tests/test_geom_methods.py:1085: requires Shapely>=2.1 SKIPPED [1] geopandas/tests/test_geom_methods.py:1250: requires shapely 2.1 SKIPPED [1] geopandas/tests/test_geom_methods.py:1545: GEOS 3.12 and shapely 2.1 needed. SKIPPED [1] geopandas/tests/test_geom_methods.py:1614: requires shapely 2.1 SKIPPED [1] geopandas/tests/test_geom_methods.py:2011: requires shapely 2.1 SKIPPED [1] geopandas/tests/test_geom_methods.py:2102: requires shapely 2.1 SKIPPED [3] geopandas/tests/test_geom_methods.py:2137: could not import 'pointpats': No module named 'pointpats' SKIPPED [1] geopandas/tests/test_geoseries.py:162: requires Shapely>=2.1 SKIPPED [1] geopandas/tests/test_geoseries.py:493: pyproj installed SKIPPED [1] geopandas/tests/test_overlay.py:275: Skipped SKIPPED [1] geopandas/tests/test_overlay.py:353: Difference uses columns from one df only. SKIPPED [2] ../../../../../usr/lib64/python3.13/contextlib.py:85: Cannot compare pdf files because Ghostscript is not installed SKIPPED [1] geopandas/tests/test_plotting.py:1140: array-like style_kwds not supported for mixed geometry types (#1379) SKIPPED [1] geopandas/tests/test_plotting.py:1159: array-like style_kwds not supported for mixed geometry types (#1379) SKIPPED [12] ../../../../../usr/lib64/python3.13/site-packages/matplotlib/testing/compare.py:282: Don't know how to convert .pdf files to png SKIPPED [1] geopandas/tests/test_sindex.py: unconditional skip SKIPPED [1] geopandas/tests/test_sindex.py:484: Test for 'dwithin'-incompatible versions of GEOS SKIPPED [1] geopandas/tools/tests/test_sjoin.py:947: Not implemented XFAIL geopandas/io/tests/test_file.py::test_empty_crs[fiona-GPKG-.gpkg] - reason: GPKG is read with Undefined geographic SRS. XFAIL geopandas/io/tests/test_file.py::test_empty_crs[fiona-None-.gpkg] - reason: GPKG is read with Undefined geographic SRS. XFAIL geopandas/io/tests/test_file.py::test_empty_crs[pyogrio-GPKG-.gpkg] - reason: GPKG is read with Undefined geographic SRS. XFAIL geopandas/io/tests/test_file.py::test_empty_crs[pyogrio-None-.gpkg] - reason: GPKG is read with Undefined geographic SRS. XFAIL geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_series_integer_with_missing_raises[list] - Tries label-based and raises KeyError; in some cases raises when calling np.asarray XFAIL geopandas/tests/test_extension_array.py::TestGetitem::test_getitem_series_integer_with_missing_raises[integer-array] - Tries label-based and raises KeyError; in some cases raises when calling np.asarray XFAIL geopandas/tests/test_extension_array.py::TestSetitem::test_setitem_integer_with_missing_raises[list-True] - GH-31948 XFAIL geopandas/tests/test_op_output_types.py::test_loc_add_row[geom] - pre-regression behaviour only works for geometry col geometry XFAIL geopandas/tests/test_sindex.py::TestShapelyInterface::test_query_sorting[False-expected1] - reason: rtree results are known to be unordered, see https://github.com/geopandas/geopandas/issues/1337 Expected: [0, 1, 2] Got: [1, 0, 2] XFAIL geopandas/tests/test_sindex.py::TestShapelyInterface::test_query_bulk_sorting[False-expected1] - reason: rtree results are known to be unordered, see https://github.com/geopandas/geopandas/issues/1337 Expected: [[0, 0, 0], [0, 1, 2]] Got: [[0, 0, 0], [1, 0, 2]] XFAIL geopandas/tools/tests/test_sjoin.py::TestSpatialJoinNYBB::test_no_overlapping_geometry XPASS geopandas/tests/test_pandas_methods.py::test_drop_duplicates_series XPASS geopandas/tests/test_pandas_methods.py::test_drop_duplicates_frame FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[None-test_geom0-expected0-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[None-test_geom1-expected1-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[None-test_geom2-expected2-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[None-test_geom3-expected3-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[intersects-test_geom4-expected4-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[intersects-test_geom5-expected5-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[intersects-test_geom6-expected6-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[intersects-test_geom7-expected7-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[within-test_geom8-expected8-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[within-test_geom9-expected9-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[within-test_geom10-expected10-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[within-test_geom11-expected11-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[contains-test_geom12-expected12-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[contains-test_geom13-expected13-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[contains-test_geom14-expected14-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[contains-test_geom15-expected15-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[contains-test_geom16-expected16-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[touches-test_geom17-expected17-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[touches-test_geom18-expected18-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[contains-test_geom19-expected19-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[covers-test_geom20-expected20-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[covers-test_geom21-expected21-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[covers-test_geom22-expected22-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[contains_properly-test_geom23-expected23-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[contains_properly-test_geom24-expected24-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[contains_properly-test_geom25-expected25-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[contains_properly-test_geom26-expected26-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[contains_properly-test_geom27-expected27-sparse] FAILED geopandas/tests/test_sindex.py::TestShapelyInterface::test_query[contains_properly-test_geom28-expected28-sparse] = 29 failed, 2527 passed, 159 skipped, 8 deselected, 11 xfailed, 2 xpassed, 12 warnings in 57.68s = error: Bad exit status from /var/tmp/rpm-tmp.ZZBKo4 (%check) Bad exit status from /var/tmp/rpm-tmp.ZZBKo4 (%check) RPM build errors: Finish: rpmbuild python-geopandas-1.1.0-3.fc41.src.rpm Finish: build phase for python-geopandas-1.1.0-3.fc41.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-41-x86_64-1753090852.539668/root/var/log/dnf5.log INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz /bin/tar: Removing leading `/' from member names ERROR: Exception(/var/lib/copr-rpmbuild/results/python-geopandas-1.1.0-3.fc41.src.rpm) Config(fedora-41-x86_64) 1 minutes 19 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_failure=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot ERROR: Command failed: # /usr/bin/systemd-nspawn -q -M e9509772ec9240fd9675ac7f4bbeba84 -D /var/lib/mock/fedora-41-x86_64-1753090852.539668/root -a -u mockbuild --capability=cap_ipc_lock --rlimit=RLIMIT_NOFILE=10240 --capability=cap_ipc_lock --bind=/tmp/mock-resolv.bm23gfyk:/etc/resolv.conf --bind=/dev/btrfs-control --bind=/dev/mapper/control --bind=/dev/fuse --bind=/dev/loop-control --bind=/dev/loop0 --bind=/dev/loop1 --bind=/dev/loop2 --bind=/dev/loop3 --bind=/dev/loop4 --bind=/dev/loop5 --bind=/dev/loop6 --bind=/dev/loop7 --bind=/dev/loop8 --bind=/dev/loop9 --bind=/dev/loop10 --bind=/dev/loop11 --console=pipe --setenv=TERM=vt100 --setenv=SHELL=/bin/bash --setenv=HOME=/builddir --setenv=HOSTNAME=mock --setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin '--setenv=PROMPT_COMMAND=printf "\033]0;\007"' '--setenv=PS1= \s-\v\$ ' --setenv=LANG=C.UTF-8 --resolv-conf=off bash --login -c '/usr/bin/rpmbuild -ba --noprep --target x86_64 /builddir/build/originals/python-geopandas.spec' Copr build error: Build failed