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Merge branch 'main' into BUG-56994/pyarrow-assignment-unexpected-dtypes
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‎.github/actions/build_pandas/action.yml

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fi
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shell: bash -el {0}
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- name: Uninstall nomkl
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run: |
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if conda list nomkl | grep nomkl 1>/dev/null; then
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conda remove nomkl -y
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fi
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shell: bash -el {0}
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- name: Build Pandas
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run: |
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if [[ ${{ inputs.editable }} == "true" ]]; then

‎.github/actions/setup-conda/action.yml

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- name: Install ${{ inputs.environment-file }}
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uses: mamba-org/setup-micromamba@v1
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with:
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# Pinning to avoid 2.0 failures
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micromamba-version: '1.5.10-0'
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environment-file: ${{ inputs.environment-file }}
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environment-name: test
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condarc-file: ci/.condarc

‎.github/workflows/unit-tests.yml

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TEST_ARGS: ${{ matrix.test_args || '' }}
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PYTEST_WORKERS: 'auto'
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PYTEST_TARGET: ${{ matrix.pytest_target || 'pandas' }}
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NPY_PROMOTION_STATE: ${{ matrix.env_file == 'actions-311-numpydev.yaml' && 'weak' || 'legacy' }}
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# Clipboard tests
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QT_QPA_PLATFORM: offscreen
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REMOVE_PYARROW: ${{ matrix.name == 'Future infer strings (without pyarrow)' && '1' || '0' }}

‎.github/workflows/wheels.yml

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run: echo "sdist_name=$(cd ./dist && ls -d */)" >> "$GITHUB_ENV"
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- name: Build wheels
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uses: pypa/[email protected].0
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uses: pypa/[email protected].3
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with:
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package-dir: ./dist/${{ startsWith(matrix.buildplat[1], 'macosx') && env.sdist_name || needs.build_sdist.outputs.sdist_file }}
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env:

‎.pre-commit-config.yaml

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exclude: ^LICENSES/|\.(html|csv|svg)$
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# reserve "manual" for relatively slow hooks which we still want to run in CI
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default_stages: [
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commit,
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merge-commit,
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push,
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pre-commit,
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pre-merge-commit,
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pre-push,
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prepare-commit-msg,
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commit-msg,
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post-checkout,

‎ci/code_checks.sh

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-i "pandas.Timestamp.resolution PR02" \
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-i "pandas.Timestamp.tzinfo GL08" \
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-i "pandas.Timestamp.year GL08" \
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-i "pandas.api.types.is_integer PR01,SA01" \
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-i "pandas.api.types.is_iterator PR07,SA01" \
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-i "pandas.api.types.is_re_compilable PR07,SA01" \
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-i "pandas.api.types.pandas_dtype PR07,RT03,SA01" \
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-i "pandas.arrays.ArrowExtensionArray PR07,SA01" \
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-i "pandas.arrays.NumpyExtensionArray SA01" \
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-i "pandas.arrays.SparseArray PR07,SA01" \
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-i "pandas.arrays.TimedeltaArray PR07,SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.__iter__ RT03,SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.boxplot PR07,RT03,SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.get_group RT03,SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.groups SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.indices SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.nth PR02" \
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-i "pandas.core.groupby.DataFrameGroupBy.nunique SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.ohlc SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.plot PR02" \
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-i "pandas.core.groupby.DataFrameGroupBy.sem SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.__iter__ RT03,SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.get_group RT03,SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.groups SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.indices SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.nth PR02" \
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-i "pandas.core.groupby.SeriesGroupBy.ohlc SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.plot PR02" \
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-i "pandas.core.groupby.SeriesGroupBy.sem SA01" \
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-i "pandas.core.resample.Resampler.__iter__ RT03,SA01" \
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-i "pandas.core.resample.Resampler.get_group RT03,SA01" \
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-i "pandas.core.resample.Resampler.groups SA01" \
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-i "pandas.core.resample.Resampler.indices SA01" \
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-i "pandas.core.resample.Resampler.max PR01,RT03,SA01" \
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-i "pandas.core.resample.Resampler.mean SA01" \
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-i "pandas.core.resample.Resampler.min PR01,RT03,SA01" \
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-i "pandas.core.resample.Resampler.ohlc SA01" \
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-i "pandas.core.resample.Resampler.prod SA01" \
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-i "pandas.core.resample.Resampler.quantile PR01,PR07" \
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-i "pandas.core.resample.Resampler.sem SA01" \
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-i "pandas.core.resample.Resampler.std SA01" \
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-i "pandas.core.resample.Resampler.sum SA01" \
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-i "pandas.core.resample.Resampler.transform PR01,RT03,SA01" \
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-i "pandas.core.resample.Resampler.var SA01" \
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-i "pandas.errors.AttributeConflictWarning SA01" \
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-i "pandas.errors.CSSWarning SA01" \
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-i "pandas.errors.ChainedAssignmentError SA01" \
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-i "pandas.errors.DataError SA01" \
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-i "pandas.errors.DuplicateLabelError SA01" \
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-i "pandas.errors.NullFrequencyError SA01" \
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-i "pandas.errors.NumExprClobberingError SA01" \
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-i "pandas.errors.NumbaUtilError SA01" \
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-i "pandas.errors.OptionError SA01" \
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-i "pandas.errors.OutOfBoundsTimedelta SA01" \
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-i "pandas.errors.PerformanceWarning SA01" \
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-i "pandas.errors.PossibleDataLossError SA01" \
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-i "pandas.errors.PossiblePrecisionLoss SA01" \
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-i "pandas.errors.UndefinedVariableError PR01,SA01" \
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-i "pandas.errors.UnsortedIndexError SA01" \
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-i "pandas.errors.UnsupportedFunctionCall SA01" \
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-i "pandas.errors.ValueLabelTypeMismatch SA01" \
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-i "pandas.infer_freq SA01" \
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-i "pandas.io.json.build_table_schema PR07,RT03,SA01" \
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-i "pandas.io.stata.StataWriter.write_file SA01" \
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-i "pandas.json_normalize RT03,SA01" \
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-i "pandas.plotting.andrews_curves RT03,SA01" \
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-i "pandas.plotting.scatter_matrix PR07,SA01" \
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-i "pandas.set_eng_float_format RT03,SA01" \
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-i "pandas.tseries.offsets.BDay PR02,SA01" \
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-i "pandas.tseries.offsets.BQuarterBegin.is_on_offset GL08" \
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-i "pandas.tseries.offsets.BQuarterBegin.n GL08" \
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-i "pandas.tseries.offsets.Second.is_on_offset GL08" \
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-i "pandas.tseries.offsets.Second.n GL08" \
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-i "pandas.tseries.offsets.Second.normalize GL08" \
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-i "pandas.tseries.offsets.SemiMonthBegin SA01" \
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-i "pandas.tseries.offsets.SemiMonthBegin.day_of_month GL08" \
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-i "pandas.tseries.offsets.SemiMonthBegin.is_on_offset GL08" \
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-i "pandas.tseries.offsets.SemiMonthBegin.n GL08" \

‎ci/deps/actions-310-minimum_versions.yaml

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- python=3.10
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# build dependencies
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- versioneer[toml]
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- versioneer
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- cython>=0.29.33
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- meson[ninja]=1.2.1
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- meson=1.2.1
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- meson-python=0.13.1
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# test dependencies

‎ci/deps/actions-310.yaml

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# build dependencies
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- versioneer[toml]
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- versioneer
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- cython>=0.29.33
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- meson[ninja]=1.2.1
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- meson=1.2.1
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- meson-python=0.13.1
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# test dependencies
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- scipy>=1.10.0
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- sqlalchemy>=2.0.0
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- tabulate>=0.9.0
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- xarray>=2022.12.0
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- xarray>=2022.12.0, <=2024.9.0
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- xlrd>=2.0.1
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- xlsxwriter>=3.0.5
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- zstandard>=0.19.0

‎ci/deps/actions-311-downstream_compat.yaml

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- python=3.11
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# build dependencies
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- versioneer[toml]
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- versioneer
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- cython>=0.29.33
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- meson[ninja]=1.2.1
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- meson=1.2.1
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- meson-python=0.13.1
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- scipy>=1.10.0
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- sqlalchemy>=2.0.0
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- tabulate>=0.9.0
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- xarray>=2022.12.0
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- xarray>=2022.12.0, <=2024.9.0
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- xlrd>=2.0.1
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- xlsxwriter>=3.0.5
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- zstandard>=0.19.0

‎ci/deps/actions-311-numpydev.yaml

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# build dependencies
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- versioneer[toml]
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- meson[ninja]=1.2.1
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- versioneer
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- meson=1.2.1
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- meson-python=0.13.1
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- cython>=0.29.33
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