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Run polars test suite (defaulting to GPU) in CI (#16710)
## Description We implement a small pytest plugin that defaults the polars engine to GPU (by monkeypatching `LazyFrame.collect`, yet another reason to have a global default somehow). As well as this, we collate all the known failures and classify them. ## Checklist - [x] I am familiar with the [Contributing Guidelines](https://github.com/rapidsai/cudf/blob/HEAD/CONTRIBUTING.md). - [x] New or existing tests cover these changes. - [x] The documentation is up to date with these changes.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -27,6 +27,7 @@ jobs: | |
| - wheel-tests-cudf | ||
| - wheel-build-cudf-polars | ||
| - wheel-tests-cudf-polars | ||
| - cudf-polars-polars-tests | ||
| - wheel-build-dask-cudf | ||
| - wheel-tests-dask-cudf | ||
| - devcontainer | ||
|
|
@@ -154,6 +155,17 @@ jobs: | |
| # This always runs, but only fails if this PR touches code in | ||
| # pylibcudf or cudf_polars | ||
| script: "ci/test_wheel_cudf_polars.sh" | ||
| cudf-polars-polars-tests: | ||
| needs: wheel-build-cudf-polars | ||
| secrets: inherit | ||
| uses: rapidsai/shared-workflows/.github/workflows/[email protected] | ||
| with: | ||
| # This selects "ARCH=amd64 + the latest supported Python + CUDA". | ||
| matrix_filter: map(select(.ARCH == "amd64")) | group_by(.CUDA_VER|split(".")|map(tonumber)|.[0]) | map(max_by([(.PY_VER|split(".")|map(tonumber)), (.CUDA_VER|split(".")|map(tonumber))])) | ||
| build_type: pull-request | ||
| # This always runs, but only fails if this PR touches code in | ||
| # pylibcudf or cudf_polars | ||
| script: "ci/test_cudf_polars_polars_tests.sh" | ||
| wheel-build-dask-cudf: | ||
| needs: wheel-build-cudf | ||
| secrets: inherit | ||
|
|
||
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| @@ -0,0 +1,27 @@ | ||
| #!/bin/bash | ||
| # Copyright (c) 2024, NVIDIA CORPORATION. | ||
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| set -euo pipefail | ||
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||
| # Support invoking run_cudf_polars_pytests.sh outside the script directory | ||
| # Assumption, polars has been cloned in the root of the repo. | ||
| cd "$(dirname "$(realpath "${BASH_SOURCE[0]}")")"/../polars/ | ||
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||
| DESELECTED_TESTS=( | ||
| "tests/unit/test_polars_import.py::test_polars_import" # relies on a polars built in place | ||
| "tests/unit/streaming/test_streaming_sort.py::test_streaming_sort[True]" # relies on polars built in debug mode | ||
| "tests/unit/test_cpu_check.py::test_check_cpu_flags_skipped_no_flags" # Mock library error | ||
| "tests/docs/test_user_guide.py" # No dot binary in CI image | ||
| ) | ||
|
|
||
| DESELECTED_TESTS=$(printf -- " --deselect %s" "${DESELECTED_TESTS[@]}") | ||
| python -m pytest \ | ||
| --import-mode=importlib \ | ||
| --cache-clear \ | ||
| -m "" \ | ||
| -p cudf_polars.testing.plugin \ | ||
| -v \ | ||
| --tb=short \ | ||
| ${DESELECTED_TESTS} \ | ||
| "$@" \ | ||
| py-polars/tests |
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|---|---|---|
| @@ -0,0 +1,68 @@ | ||
| #!/bin/bash | ||
| # Copyright (c) 2024, NVIDIA CORPORATION. | ||
|
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| set -eou pipefail | ||
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| # We will only fail these tests if the PR touches code in pylibcudf | ||
| # or cudf_polars itself. | ||
| # Note, the three dots mean we are doing diff between the merge-base | ||
| # of upstream and HEAD. So this is asking, "does _this branch_ touch | ||
| # files in cudf_polars/pylibcudf", rather than "are there changes | ||
| # between upstream and this branch which touch cudf_polars/pylibcudf" | ||
| # TODO: is the target branch exposed anywhere in an environment variable? | ||
| if [ -n "$(git diff --name-only origin/branch-24.08...HEAD -- python/cudf_polars/ python/cudf/cudf/_lib/pylibcudf/)" ]; | ||
| then | ||
| HAS_CHANGES=1 | ||
| rapids-logger "PR has changes in cudf-polars/pylibcudf, test fails treated as failure" | ||
| else | ||
| HAS_CHANGES=0 | ||
| rapids-logger "PR does not have changes in cudf-polars/pylibcudf, test fails NOT treated as failure" | ||
| fi | ||
|
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||
| rapids-logger "Download wheels" | ||
|
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| RAPIDS_PY_CUDA_SUFFIX="$(rapids-wheel-ctk-name-gen ${RAPIDS_CUDA_VERSION})" | ||
| RAPIDS_PY_WHEEL_NAME="cudf_polars_${RAPIDS_PY_CUDA_SUFFIX}" RAPIDS_PY_WHEEL_PURE="1" rapids-download-wheels-from-s3 ./dist | ||
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| # Download the cudf built in the previous step | ||
| RAPIDS_PY_WHEEL_NAME="cudf_${RAPIDS_PY_CUDA_SUFFIX}" rapids-download-wheels-from-s3 ./local-cudf-dep | ||
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| rapids-logger "Install cudf" | ||
| python -m pip install ./local-cudf-dep/cudf*.whl | ||
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| rapids-logger "Install cudf_polars" | ||
| python -m pip install $(echo ./dist/cudf_polars*.whl) | ||
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| TAG=$(python -c 'import polars; print(f"py-{polars.__version__}")') | ||
| rapids-logger "Clone polars to ${TAG}" | ||
| git clone https://github.com/pola-rs/polars.git --branch ${TAG} --depth 1 | ||
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| # Install requirements for running polars tests | ||
| rapids-logger "Install polars test requirements" | ||
| python -m pip install -r polars/py-polars/requirements-dev.txt -r polars/py-polars/requirements-ci.txt | ||
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||
| function set_exitcode() | ||
| { | ||
| EXITCODE=$? | ||
| } | ||
| EXITCODE=0 | ||
| trap set_exitcode ERR | ||
| set +e | ||
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| rapids-logger "Run polars tests" | ||
| ./ci/run_cudf_polars_polars_tests.sh | ||
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| trap ERR | ||
| set -e | ||
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| if [ ${EXITCODE} != 0 ]; then | ||
| rapids-logger "Running polars test suite FAILED: exitcode ${EXITCODE}" | ||
| else | ||
| rapids-logger "Running polars test suite PASSED" | ||
| fi | ||
|
|
||
| if [ ${HAS_CHANGES} == 1 ]; then | ||
| exit ${EXITCODE} | ||
| else | ||
| exit 0 | ||
| fi |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,156 @@ | ||
| # SPDX-FileCopyrightText: Copyright (c) 2024 NVIDIA CORPORATION & AFFILIATES. | ||
| # SPDX-License-Identifier: Apache-2.0 | ||
|
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| """Plugin for running polars test suite setting GPU engine as default.""" | ||
|
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| from __future__ import annotations | ||
|
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| from functools import partialmethod | ||
| from typing import TYPE_CHECKING | ||
|
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| import pytest | ||
|
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| import polars | ||
|
|
||
| if TYPE_CHECKING: | ||
| from collections.abc import Mapping | ||
|
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|
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| def pytest_addoption(parser: pytest.Parser): | ||
| """Add plugin-specific options.""" | ||
| group = parser.getgroup( | ||
| "cudf-polars", "Plugin to set GPU as default engine for polars tests" | ||
| ) | ||
| group.addoption( | ||
| "--cudf-polars-no-fallback", | ||
| action="store_true", | ||
| help="Turn off fallback to CPU when running tests (default use fallback)", | ||
| ) | ||
|
|
||
|
|
||
| def pytest_configure(config: pytest.Config): | ||
| """Enable use of this module as a pytest plugin to enable GPU collection.""" | ||
| no_fallback = config.getoption("--cudf-polars-no-fallback") | ||
| collect = polars.LazyFrame.collect | ||
| engine = polars.GPUEngine(raise_on_fail=no_fallback) | ||
| polars.LazyFrame.collect = partialmethod(collect, engine=engine) | ||
| config.addinivalue_line( | ||
| "filterwarnings", | ||
| "ignore:.*GPU engine does not support streaming or background collection", | ||
| ) | ||
| config.addinivalue_line( | ||
| "filterwarnings", | ||
| "ignore:.*Query execution with GPU not supported", | ||
| ) | ||
|
|
||
|
|
||
| EXPECTED_FAILURES: Mapping[str, str] = { | ||
| "tests/unit/io/test_csv.py::test_compressed_csv": "Need to determine if file is compressed", | ||
| "tests/unit/io/test_csv.py::test_read_csv_only_loads_selected_columns": "Memory usage won't be correct due to GPU", | ||
| "tests/unit/io/test_lazy_count_star.py::test_count_compressed_csv_18057": "Need to determine if file is compressed", | ||
| "tests/unit/io/test_lazy_csv.py::test_scan_csv_slice_offset_zero": "Integer overflow in sliced read", | ||
| "tests/unit/io/test_lazy_parquet.py::test_parquet_is_in_statistics": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_lazy_parquet.py::test_parquet_statistics": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_lazy_parquet.py::test_parquet_different_schema[False]": "Needs cudf#16394", | ||
| "tests/unit/io/test_lazy_parquet.py::test_parquet_schema_mismatch_panic_17067[False]": "Needs cudf#16394", | ||
| "tests/unit/io/test_lazy_parquet.py::test_parquet_slice_pushdown_non_zero_offset[True]": "Unknown error: invalid parquet?", | ||
| "tests/unit/io/test_lazy_parquet.py::test_parquet_slice_pushdown_non_zero_offset[False]": "Unknown error: invalid parquet?", | ||
| "tests/unit/io/test_parquet.py::test_read_parquet_only_loads_selected_columns_15098": "Memory usage won't be correct due to GPU", | ||
| "tests/unit/io/test_scan.py::test_scan[single-csv-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_limit[single-csv-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_filter[single-csv-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_filter_and_limit[single-csv-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_limit_and_filter[single-csv-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_row_index_and_limit[single-csv-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_row_index_and_filter[single-csv-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_row_index_limit_and_filter[single-csv-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan[glob-csv-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_limit[glob-csv-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_filter[glob-csv-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_filter_and_limit[glob-csv-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_limit_and_filter[glob-csv-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_row_index_and_limit[glob-csv-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_row_index_and_filter[glob-csv-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_row_index_limit_and_filter[glob-csv-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan[glob-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_limit[glob-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_filter[glob-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_filter_and_limit[glob-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_limit_and_filter[glob-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_row_index_and_limit[glob-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_row_index_and_filter[glob-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_row_index_limit_and_filter[glob-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_row_index_projected_out[glob-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_row_index_filter_and_limit[glob-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan[single-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_limit[single-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_filter[single-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_filter_and_limit[single-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_limit_and_filter[single-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_row_index_and_limit[single-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_row_index_and_filter[single-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_row_index_limit_and_filter[single-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_row_index_projected_out[single-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_with_row_index_filter_and_limit[single-parquet-async]": "Debug output on stderr doesn't match", | ||
| "tests/unit/io/test_scan.py::test_scan_include_file_name[False-scan_parquet-write_parquet]": "Need to add include_file_path to IR", | ||
| "tests/unit/io/test_scan.py::test_scan_include_file_name[False-scan_csv-write_csv]": "Need to add include_file_path to IR", | ||
| "tests/unit/io/test_scan.py::test_scan_include_file_name[False-scan_ndjson-write_ndjson]": "Need to add include_file_path to IR", | ||
| "tests/unit/lazyframe/test_engine_selection.py::test_engine_import_error_raises[gpu]": "Expect this to pass because cudf-polars is installed", | ||
| "tests/unit/lazyframe/test_engine_selection.py::test_engine_import_error_raises[engine1]": "Expect this to pass because cudf-polars is installed", | ||
| "tests/unit/lazyframe/test_lazyframe.py::test_round[dtype1-123.55-1-123.6]": "Rounding midpoints is handled incorrectly", | ||
| "tests/unit/lazyframe/test_lazyframe.py::test_cast_frame": "Casting that raises not supported on GPU", | ||
| "tests/unit/lazyframe/test_lazyframe.py::test_lazy_cache_hit": "Debug output on stderr doesn't match", | ||
| "tests/unit/operations/aggregation/test_aggregations.py::test_duration_function_literal": "Broadcasting inside groupby-agg not supported", | ||
| "tests/unit/operations/aggregation/test_aggregations.py::test_sum_empty_and_null_set": "libcudf sums column of all nulls to null, not zero", | ||
| "tests/unit/operations/aggregation/test_aggregations.py::test_binary_op_agg_context_no_simplify_expr_12423": "groupby-agg of just literals should not produce collect_list", | ||
| "tests/unit/operations/aggregation/test_aggregations.py::test_nan_inf_aggregation": "treatment of nans and nulls together is different in libcudf and polars in groupby-agg context", | ||
| "tests/unit/operations/test_abs.py::test_abs_duration": "Need to raise for unsupported uops on timelike values", | ||
| "tests/unit/operations/test_group_by.py::test_group_by_mean_by_dtype[input7-expected7-Float32-Float32]": "Mismatching dtypes, needs cudf#15852", | ||
| "tests/unit/operations/test_group_by.py::test_group_by_mean_by_dtype[input10-expected10-Date-output_dtype10]": "Unsupported groupby-agg for a particular dtype", | ||
| "tests/unit/operations/test_group_by.py::test_group_by_mean_by_dtype[input11-expected11-input_dtype11-output_dtype11]": "Unsupported groupby-agg for a particular dtype", | ||
| "tests/unit/operations/test_group_by.py::test_group_by_mean_by_dtype[input12-expected12-input_dtype12-output_dtype12]": "Unsupported groupby-agg for a particular dtype", | ||
| "tests/unit/operations/test_group_by.py::test_group_by_mean_by_dtype[input13-expected13-input_dtype13-output_dtype13]": "Unsupported groupby-agg for a particular dtype", | ||
| "tests/unit/operations/test_group_by.py::test_group_by_median_by_dtype[input7-expected7-Float32-Float32]": "Mismatching dtypes, needs cudf#15852", | ||
| "tests/unit/operations/test_group_by.py::test_group_by_median_by_dtype[input10-expected10-Date-output_dtype10]": "Unsupported groupby-agg for a particular dtype", | ||
| "tests/unit/operations/test_group_by.py::test_group_by_median_by_dtype[input11-expected11-input_dtype11-output_dtype11]": "Unsupported groupby-agg for a particular dtype", | ||
| "tests/unit/operations/test_group_by.py::test_group_by_median_by_dtype[input12-expected12-input_dtype12-output_dtype12]": "Unsupported groupby-agg for a particular dtype", | ||
| "tests/unit/operations/test_group_by.py::test_group_by_median_by_dtype[input13-expected13-input_dtype13-output_dtype13]": "Unsupported groupby-agg for a particular dtype", | ||
| "tests/unit/operations/test_group_by.py::test_group_by_median_by_dtype[input14-expected14-input_dtype14-output_dtype14]": "Unsupported groupby-agg for a particular dtype", | ||
| "tests/unit/operations/test_group_by.py::test_group_by_median_by_dtype[input15-expected15-input_dtype15-output_dtype15]": "Unsupported groupby-agg for a particular dtype", | ||
| "tests/unit/operations/test_group_by.py::test_group_by_median_by_dtype[input16-expected16-input_dtype16-output_dtype16]": "Unsupported groupby-agg for a particular dtype", | ||
| "tests/unit/operations/test_group_by.py::test_group_by_binary_agg_with_literal": "Incorrect broadcasting of literals in groupby-agg", | ||
| "tests/unit/operations/test_group_by.py::test_group_by_apply_first_input_is_literal": "Polars advertises incorrect schema names polars#18524", | ||
| "tests/unit/operations/test_group_by.py::test_aggregated_scalar_elementwise_15602": "Unsupported boolean function/dtype combination in groupby-agg", | ||
| "tests/unit/operations/test_group_by.py::test_schemas[data1-expr1-expected_select1-expected_gb1]": "Mismatching dtypes, needs cudf#15852", | ||
| "tests/unit/operations/test_group_by_dynamic.py::test_group_by_dynamic_by_monday_and_offset_5444": "IR needs to expose groupby-dynamic information", | ||
| "tests/unit/operations/test_group_by_dynamic.py::test_group_by_dynamic_label[left-expected0]": "IR needs to expose groupby-dynamic information", | ||
| "tests/unit/operations/test_group_by_dynamic.py::test_group_by_dynamic_label[right-expected1]": "IR needs to expose groupby-dynamic information", | ||
| "tests/unit/operations/test_group_by_dynamic.py::test_group_by_dynamic_label[datapoint-expected2]": "IR needs to expose groupby-dynamic information", | ||
| "tests/unit/operations/test_group_by_dynamic.py::test_rolling_dynamic_sortedness_check": "IR needs to expose groupby-dynamic information", | ||
| "tests/unit/operations/test_group_by_dynamic.py::test_group_by_dynamic_validation": "IR needs to expose groupby-dynamic information", | ||
| "tests/unit/operations/test_group_by_dynamic.py::test_group_by_dynamic_15225": "IR needs to expose groupby-dynamic information", | ||
| "tests/unit/operations/test_join.py::test_cross_join_slice_pushdown": "Need to implement slice pushdown for cross joins", | ||
| "tests/unit/sql/test_cast.py::test_cast_errors[values0-values::uint8-conversion from `f64` to `u64` failed]": "Casting that raises not supported on GPU", | ||
| "tests/unit/sql/test_cast.py::test_cast_errors[values1-values::uint4-conversion from `i64` to `u32` failed]": "Casting that raises not supported on GPU", | ||
| "tests/unit/sql/test_cast.py::test_cast_errors[values2-values::int1-conversion from `i64` to `i8` failed]": "Casting that raises not supported on GPU", | ||
| "tests/unit/sql/test_miscellaneous.py::test_read_csv": "Incorrect handling of missing_is_null in read_csv", | ||
| "tests/unit/sql/test_wildcard_opts.py::test_select_wildcard_errors": "Raises correctly but with different exception", | ||
| "tests/unit/streaming/test_streaming_io.py::test_parquet_eq_statistics": "Debug output on stderr doesn't match", | ||
| "tests/unit/test_cse.py::test_cse_predicate_self_join": "Debug output on stderr doesn't match", | ||
| "tests/unit/test_empty.py::test_empty_9137": "Mismatching dtypes, needs cudf#15852", | ||
| # Maybe flaky, order-dependent? | ||
| "tests/unit/test_projections.py::test_schema_full_outer_join_projection_pd_13287": "Order-specific result check, query is correct but in different order", | ||
| "tests/unit/test_queries.py::test_group_by_agg_equals_zero_3535": "libcudf sums all nulls to null, not zero", | ||
| } | ||
|
|
||
|
|
||
| def pytest_collection_modifyitems( | ||
| session: pytest.Session, config: pytest.Config, items: list[pytest.Item] | ||
| ): | ||
| """Mark known failing tests.""" | ||
| if config.getoption("--cudf-polars-no-fallback"): | ||
| # Don't xfail tests if running without fallback | ||
| return | ||
| for item in items: | ||
| if item.nodeid in EXPECTED_FAILURES: | ||
| item.add_marker(pytest.mark.xfail(reason=EXPECTED_FAILURES[item.nodeid])) |
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