rapidsai / cuspatial

CUDA-accelerated GIS and spatiotemporal algorithms
https://docs.rapids.ai/api/cuspatial/stable/
Apache License 2.0
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[BUG]: cannot construct a GeoSeries #1433

Closed jameslamb closed 2 months ago

jameslamb commented 2 months ago

Version

24.10

On which installation method(s) does this occur?

Conda

Describe the issue

Some cuspatial operations that construct a cudf.Series are now failing like this:

E TypeError: Use cudf.Series._from_data for constructing a Series from ColumnAccessor or a ColumnBase

and this:

AttributeError("'GeoSeries' object has no attribute '_data'") raised in repr()

See the summary of test failures at https://github.com/rapidsai/cuspatial/actions/runs/10287466179/job/28471526539?pr=1430.

Minimum reproducible example

Seeing this on CI targeting branch-24.10. For example, from #1430: https://github.com/rapidsai/cuspatial/actions/runs/10287466179/job/28471526539?pr=1430

This does not appear to be limited to a specific subset of Python version, CPU architecture, or CUDA version.

With latest 24.10 nightly conda packages of cudf and cuspatial, this is sufficient to reproduce the first error:

import cuspatial
from shapely.geometry import Polygon
cuspatial.GeoSeries([Polygon([(0, 0), (0, 1), (1, 1), (1, 0)])])

I haven't yet found a reproducible example for the repr() error, because even this empty construction fails with the first error:

import cuspatial
g = cuspatial.GeoSeries([])

Relevant log output

No response

Environment details

output of print_env.sh (click me) ```shell ACTIONS_ID_TOKEN_REQUEST_TOKEN=*** AWS_ACCESS_KEY_ID=*** AWS_DEFAULT_REGION=us-east-2 AWS_REGION=us-east-2 AWS_SECRET_ACCESS_KEY=*** AWS_SESSION_TOKEN=*** CI=true CONDA_DEFAULT_ENV=test CONDA_EXE=/opt/conda/bin/conda CONDA_PREFIX=/opt/conda/envs/test CONDA_PROMPT_MODIFIER=(test) CONDA_PYTHON_EXE=/opt/conda/bin/python CONDA_SHLVL=1 CPL_ZIP_ENCODING=UTF-8 CUDA_VERSION=11.8.0 CUSPATIAL_HOME=/__w/cuspatial/cuspatial GDAL_DATA=/opt/conda/envs/test/share/gdal GDAL_DRIVER_PATH=/opt/conda/envs/test/lib/gdalplugins GH_TOKEN=*** GITHUB_ACTION=__run_2 GITHUB_ACTIONS=true GITHUB_ACTION_REF= GITHUB_ACTION_REPOSITORY= GITHUB_ACTOR=copy-pr-bot[bot] GITHUB_ACTOR_ID=138252374 GITHUB_API_URL=https://api.github.com GITHUB_BASE_REF= GITHUB_ENV=/__w/_temp/_runner_file_commands/set_env_422e29da-92da-4226-ae2d-52b6c2cbe2f1 GITHUB_EVENT_NAME=push GITHUB_EVENT_PATH=/github/workflow/event.json GITHUB_GRAPHQL_URL=https://api.github.com/graphql GITHUB_HEAD_REF= GITHUB_JOB=tests GITHUB_OUTPUT=/__w/_temp/_runner_file_commands/set_output_422e29da-92da-4226-ae2d-52b6c2cbe2f1 GITHUB_PATH=/__w/_temp/_runner_file_commands/add_path_422e29da-92da-4226-ae2d-52b6c2cbe2f1 GITHUB_REF=refs/heads/pull-request/1430 GITHUB_REF_NAME=pull-request/1430 GITHUB_REF_PROTECTED=false GITHUB_REF_TYPE=branch GITHUB_REPOSITORY=rapidsai/cuspatial GITHUB_REPOSITORY_ID=199666905 GITHUB_REPOSITORY_OWNER=rapidsai GITHUB_REPOSITORY_OWNER_ID=43887749 GITHUB_RETENTION_DAYS=90 GITHUB_RUN_ATTEMPT=1 GITHUB_RUN_ID=10287466179 GITHUB_RUN_NUMBER=1980 GITHUB_SERVER_URL=https://github.com GITHUB_SHA=8f4be5d89b817fae026b8f63327a24e471ddc8a6 GITHUB_STATE=/__w/_temp/_runner_file_commands/save_state_422e29da-92da-4226-ae2d-52b6c2cbe2f1 GITHUB_STEP_SUMMARY=/__w/_temp/_runner_file_commands/step_summary_422e29da-92da-4226-ae2d-52b6c2cbe2f1 GITHUB_TRIGGERING_ACTOR=copy-pr-bot[bot] GITHUB_WORKFLOW=pr GITHUB_WORKFLOW_REF=rapidsai/cuspatial/.github/workflows/pr.yaml@refs/heads/pull-request/1430 GITHUB_WORKFLOW_SHA=8f4be5d89b817fae026b8f63327a24e471ddc8a6 GITHUB_WORKSPACE=/__w/cuspatial/cuspatial GSETTINGS_SCHEMA_DIR=/opt/conda/envs/test/share/glib-2.0/schemas GSETTINGS_SCHEMA_DIR_CONDA_BACKUP= HOME=/github/home HOSTNAME=aac1a87a372b LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NVARCH=x86_64 NVIDIA_DRIVER_CAPABILITIES=compute,utility NVIDIA_REQUIRE_CUDA=cuda>=11.8 brand=tesla,driver>=470,driver<471 brand=unknown,driver>=470,driver<471 brand=nvidia,driver>=470,driver<471 brand=nvidiartx,driver>=470,driver<471 brand=geforce,driver>=470,driver<471 brand=geforcertx,driver>=470,driver<471 brand=quadro,driver>=470,driver<471 brand=quadrortx,driver>=470,driver<471 brand=titan,driver>=470,driver<471 brand=titanrtx,driver>=470,driver<471 NVIDIA_VISIBLE_DEVICES=GPU-c1e748cb-4c41-e95b-a6b3-e0214cbaf23c NV_CUDA_CUDART_VERSION=11.8.89-1 PATH=/opt/conda/envs/test/bin:/opt/conda/condabin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin PROJ_DATA=/opt/conda/envs/test/share/proj PROJ_NETWORK=ON *** PYTHON_VERSION=3.9 RAPIDS_ARTIFACTS_DIR=/__w/cuspatial/cuspatial/artifacts RAPIDS_BUILD_TYPE=pull-request RAPIDS_CONDA_BLD_OUTPUT_DIR=/tmp/conda-bld-output RAPIDS_CONDA_BLD_ROOT_DIR=/tmp/conda-bld-workspace RAPIDS_COVERAGE_DIR=/__w/cuspatial/cuspatial/coverage-results RAPIDS_CUDA_VERSION=11.8.0 RAPIDS_NIGHTLY_DATE= RAPIDS_PY_VERSION=3.9 RAPIDS_REF_NAME=pull-request/1430 RAPIDS_REPOSITORY=rapidsai/cuspatial RAPIDS_SHA=8f4be5d89b817fae026b8f63327a24e471ddc8a6 RAPIDS_TESTS_DIR=/__w/cuspatial/cuspatial/test-results RUNNER_ARCH=X64 RUNNER_ENVIRONMENT=self-hosted RUNNER_NAME=linux-amd64-gpu-v100-earliest-1-bbxjq-runner-bg79m RUNNER_OS=Linux RUNNER_TEMP=/__w/_temp RUNNER_TOOL_CACHE=/__w/_tool RUNNER_WORKSPACE=/__w/cuspatial SHLVL=3 XML_CATALOG_FILES=file:///opt/conda/envs/test/etc/xml/catalog file:///etc/xml/catalog _=/usr/bin/env _CE_CONDA= _CE_M= RAPIDS logger » [08/07/24 16:08:03] ┌──────────────────┐ | Print arch | └──────────────────┘ x86_64 RAPIDS logger » [08/07/24 16:08:03] ┌────────────────────────────┐ | Check python version | └────────────────────────────┘ Python 3.9.19 RAPIDS logger » [08/07/24 16:08:03] ┌───────────────────────────────┐ | Check conda environment | └───────────────────────────────┘ active environment : test active env location : /opt/conda/envs/test shell level : 1 user config file : /github/home/.condarc populated config files : /opt/conda/.condarc conda version : 24.7.1 conda-build version : 24.5.1 python version : 3.9.19.final.0 solver : libmamba (default) virtual packages : __archspec=1=broadwell __conda=24.7.1=0 __cuda=11.8=0 __glibc=2.28=0 __linux=5.4.0=0 __unix=0=0 base environment : /opt/conda (writable) conda av data dir : /opt/conda/etc/conda conda av metadata url : None channel URLs : https://conda.anaconda.org/rapidsai/linux-64 https://conda.anaconda.org/rapidsai/noarch https://conda.anaconda.org/rapidsai-nightly/linux-64 https://conda.anaconda.org/rapidsai-nightly/noarch https://conda.anaconda.org/dask/label/dev/linux-64 https://conda.anaconda.org/dask/label/dev/noarch https://conda.anaconda.org/pytorch/linux-64 https://conda.anaconda.org/pytorch/noarch https://conda.anaconda.org/conda-forge/linux-64 https://conda.anaconda.org/conda-forge/noarch https://conda.anaconda.org/nvidia/linux-64 https://conda.anaconda.org/nvidia/noarch package cache : /opt/conda/pkgs /github/home/.conda/pkgs envs directories : /opt/conda/envs /github/home/.conda/envs platform : linux-64 user-agent : conda/24.7.1 requests/2.32.3 CPython/3.9.19 Linux/5.4.0-190-generic rocky/8.10 glibc/2.28 solver/libmamba conda-libmamba-solver/24.7.0 libmambapy/1.5.8 UID:GID : 0:0 netrc file : None offline mode : False ==> /opt/conda/.condarc <== auto_update_conda: False channels: - rapidsai - rapidsai-nightly - dask/label/dev - pytorch - conda-forge - nvidia always_yes: True number_channel_notices: 0 conda-build: set_build_id: False root_dir: /tmp/conda-bld-workspace output_folder: /tmp/conda-bld-output ==> envvars <== allow_softlinks: False # packages in environment at /opt/conda/envs/test: # # Name Version Build Channel _libgcc_mutex 0.1 conda_forge conda-forge _openmp_mutex 4.5 2_gnu conda-forge aws-c-auth 0.7.22 hbd3ac97_10 conda-forge aws-c-cal 0.7.1 h87b94db_1 conda-forge aws-c-common 0.9.23 h4ab18f5_0 conda-forge aws-c-compression 0.2.18 he027950_7 conda-forge aws-c-event-stream 0.4.2 h7671281_15 conda-forge aws-c-http 0.8.2 he17ee6b_6 conda-forge aws-c-io 0.14.10 h826b7d6_1 conda-forge aws-c-mqtt 0.10.4 hcd6a914_8 conda-forge aws-c-s3 0.6.0 h365ddd8_2 conda-forge aws-c-sdkutils 0.1.16 he027950_3 conda-forge aws-checksums 0.1.18 he027950_7 conda-forge aws-crt-cpp 0.27.3 hda66527_2 conda-forge aws-sdk-cpp 1.11.329 h46c3b66_9 conda-forge azure-core-cpp 1.13.0 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py39h6461835_2 conda-forge cuda-version 11.8 h70ddcb2_3 conda-forge cudatoolkit 11.8.0 h4ba93d1_13 conda-forge cudf 24.10.00a150 cuda11_py39_240807_g6b0bff4b09_150 rapidsai-nightly cuproj 24.10.00a24 cuda11_py39_240807_g8f4be5d8_24 file:///tmp/python_channel cupy 13.2.0 py39h8710ada_1 conda-forge cupy-core 13.2.0 py39h4d139e5_1 conda-forge cuspatial 24.10.00a24 cuda11_py39_240807_g8f4be5d8_24 file:///tmp/python_channel cycler 0.12.1 pyhd8ed1ab_0 conda-forge dlpack 0.8 h59595ed_3 conda-forge exceptiongroup 1.2.2 pyhd8ed1ab_0 conda-forge execnet 2.1.1 pyhd8ed1ab_0 conda-forge expat 2.6.2 h59595ed_0 conda-forge fastrlock 0.8.2 py39h3d6467e_2 conda-forge fmt 10.2.1 h00ab1b0_0 conda-forge folium 0.17.0 pyhd8ed1ab_0 conda-forge font-ttf-dejavu-sans-mono 2.37 hab24e00_0 conda-forge font-ttf-inconsolata 3.000 h77eed37_0 conda-forge font-ttf-source-code-pro 2.038 h77eed37_0 conda-forge font-ttf-ubuntu 0.83 h77eed37_2 conda-forge fontconfig 2.14.2 h14ed4e7_0 conda-forge fonts-conda-ecosystem 1 0 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jinja2 3.1.4 pyhd8ed1ab_0 conda-forge joblib 1.4.2 pyhd8ed1ab_0 conda-forge json-c 0.17 h1220068_1 conda-forge kealib 1.5.3 hee9dde6_1 conda-forge keyutils 1.6.1 h166bdaf_0 conda-forge kiwisolver 1.4.5 py39h7633fee_1 conda-forge krb5 1.21.3 h659f571_0 conda-forge lcms2 2.16 hb7c19ff_0 conda-forge ld_impl_linux-64 2.40 hf3520f5_7 conda-forge lerc 4.0.0 h27087fc_0 conda-forge libabseil 20240116.2 cxx17_he02047a_1 conda-forge libaec 1.1.3 h59595ed_0 conda-forge libarchive 3.7.4 hfca40fe_0 conda-forge libarrow 16.1.0 h4b47046_16_cpu conda-forge libarrow-acero 16.1.0 he02047a_16_cpu conda-forge libarrow-dataset 16.1.0 he02047a_16_cpu conda-forge libarrow-substrait 16.1.0 hc9a23c6_16_cpu conda-forge libasprintf 0.22.5 h661eb56_2 conda-forge libasprintf-devel 0.22.5 h661eb56_2 conda-forge libblas 3.9.0 23_linux64_openblas conda-forge libbrotlicommon 1.1.0 hd590300_1 conda-forge libbrotlidec 1.1.0 hd590300_1 conda-forge libbrotlienc 1.1.0 hd590300_1 conda-forge libcblas 3.9.0 23_linux64_openblas conda-forge libcrc32c 1.1.2 h9c3ff4c_0 conda-forge libcudf 24.10.00a150 cuda11_240807_g6b0bff4b09_150 rapidsai-nightly libcufile 1.4.0.31 0 nvidia libcufile-dev 1.4.0.31 0 nvidia libcurl 8.9.1 hdb1bdb2_0 conda-forge libcuspatial 24.10.00a24 cuda11_240807_g8f4be5d8_24 file:///tmp/cpp_channel libdeflate 1.19 hd590300_0 conda-forge libedit 3.1.20191231 he28a2e2_2 conda-forge libev 4.33 hd590300_2 conda-forge libevent 2.1.12 hf998b51_1 conda-forge libexpat 2.6.2 h59595ed_0 conda-forge libffi 3.4.2 h7f98852_5 conda-forge libgcc-ng 14.1.0 h77fa898_0 conda-forge libgdal 3.8.1 h4b8bffa_3 conda-forge libgettextpo 0.22.5 h59595ed_2 conda-forge libgettextpo-devel 0.22.5 h59595ed_2 conda-forge libgfortran-ng 14.1.0 h69a702a_0 conda-forge libgfortran5 14.1.0 hc5f4f2c_0 conda-forge libglib 2.78.4 h783c2da_0 conda-forge libgomp 14.1.0 h77fa898_0 conda-forge libgoogle-cloud 2.26.0 h26d7fe4_0 conda-forge libgoogle-cloud-storage 2.26.0 ha262f82_0 conda-forge libgrpc 1.62.2 h15f2491_0 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py39hd1e30aa_0 conda-forge openjpeg 2.5.2 h488ebb8_0 conda-forge openssl 3.3.1 h4bc722e_2 conda-forge orc 2.0.1 h17fec99_1 conda-forge packaging 24.1 pyhd8ed1ab_0 conda-forge pandas 2.2.2 py39hfc16268_1 conda-forge pcre2 10.42 hcad00b1_0 conda-forge pillow 10.3.0 py39h90c7501_0 conda-forge pip 24.2 pyhd8ed1ab_0 conda-forge pixman 0.43.2 h59595ed_0 conda-forge pluggy 1.5.0 pyhd8ed1ab_0 conda-forge poppler 23.12.0 h590f24d_0 conda-forge poppler-data 0.4.12 hd8ed1ab_0 conda-forge postgresql 16.3 h8e811e2_0 conda-forge proj 9.3.0 h1d62c97_2 conda-forge pthread-stubs 0.4 h36c2ea0_1001 conda-forge ptxcompiler 0.8.1 py39h5232d60_2 conda-forge pyarrow 16.1.0 py39he8689d4_5 conda-forge pyarrow-core 16.1.0 py39hb8ba4b6_5_cpu conda-forge pycparser 2.22 pyhd8ed1ab_0 conda-forge pygments 2.18.0 pyhd8ed1ab_0 conda-forge pyogrio 0.7.2 py39hcfcd403_1 conda-forge pyparsing 3.1.2 pyhd8ed1ab_0 conda-forge pyproj 3.6.1 py39hce394fd_4 conda-forge pysocks 1.7.1 pyha2e5f31_6 conda-forge pytest 8.3.2 pyhd8ed1ab_0 conda-forge pytest-cov 5.0.0 pyhd8ed1ab_0 conda-forge pytest-xdist 3.6.1 pyhd8ed1ab_0 conda-forge python 3.9.19 h0755675_0_cpython conda-forge python-dateutil 2.9.0 pyhd8ed1ab_0 conda-forge python-tzdata 2024.1 pyhd8ed1ab_0 conda-forge python_abi 3.9 4_cp39 conda-forge pytz 2024.1 pyhd8ed1ab_0 conda-forge qhull 2020.2 h434a139_5 conda-forge re2 2023.09.01 h7f4b329_2 conda-forge readline 8.2 h8228510_1 conda-forge requests 2.32.3 pyhd8ed1ab_0 conda-forge rich 13.7.1 pyhd8ed1ab_0 conda-forge rmm 24.10.00a18 cuda11_py39_240807_g47899659_18 rapidsai-nightly s2n 1.4.17 he19d79f_0 conda-forge scikit-learn 1.5.1 py39hf7b0125_0 conda-forge scipy 1.13.1 py39haf93ffa_0 conda-forge setuptools 72.1.0 pyhd8ed1ab_0 conda-forge shapely 2.0.4 py39h5a575da_1 conda-forge six 1.16.0 pyh6c4a22f_0 conda-forge snappy 1.2.1 ha2e4443_0 conda-forge spdlog 1.12.0 hd2e6256_2 conda-forge sqlite 3.46.0 h6d4b2fc_0 conda-forge threadpoolctl 3.5.0 pyhc1e730c_0 conda-forge tiledb 2.18.2 h99f50a1_1 conda-forge tk 8.6.13 noxft_h4845f30_101 conda-forge toml 0.10.2 pyhd8ed1ab_0 conda-forge tomli 2.0.1 pyhd8ed1ab_0 conda-forge typing_extensions 4.12.2 pyha770c72_0 conda-forge tzcode 2024a h3f72095_0 conda-forge tzdata 2024a h0c530f3_0 conda-forge unicodedata2 15.1.0 py39hd1e30aa_0 conda-forge uriparser 0.9.8 hac33072_0 conda-forge urllib3 2.2.2 pyhd8ed1ab_1 conda-forge wheel 0.44.0 pyhd8ed1ab_0 conda-forge xerces-c 3.2.5 hac6953d_0 conda-forge xorg-kbproto 1.0.7 h7f98852_1002 conda-forge xorg-libice 1.1.1 hd590300_0 conda-forge xorg-libsm 1.2.4 h7391055_0 conda-forge xorg-libx11 1.8.9 h8ee46fc_0 conda-forge xorg-libxau 1.0.11 hd590300_0 conda-forge xorg-libxdmcp 1.1.3 h7f98852_0 conda-forge xorg-libxext 1.3.4 h0b41bf4_2 conda-forge xorg-libxrender 0.9.11 hd590300_0 conda-forge xorg-renderproto 0.11.1 h7f98852_1002 conda-forge xorg-xextproto 7.3.0 h0b41bf4_1003 conda-forge xorg-xproto 7.0.31 h7f98852_1007 conda-forge xyzservices 2024.6.0 pyhd8ed1ab_0 conda-forge xz 5.2.6 h166bdaf_0 conda-forge zipp 3.19.2 pyhd8ed1ab_0 conda-forge zlib 1.3.1 h4ab18f5_1 conda-forge zstandard 0.23.0 py39h623c9ba_0 conda-forge zstd 1.5.6 ha6fb4c9_0 conda-forge ```

Other/Misc.

No response

bdice commented 2 months ago

@mroeschke Could you take a look? Seems related to your recent cuDF changes.