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jorisvandenbosschejorisvandenbossche
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Merge remote-tracking branch 'upstream/main' into revert-removing-exposing-blocks-core-internals-replace-DeprecationWarning-FutureWarning
2 parents d18631e + 4cef979 commit 7f9e90b

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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/workflows/code-checks.yml

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push:
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branches:
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- main
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- 2.2.x
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- 2.3.x
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pull_request:
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branches:
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- main
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env:
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‎.github/workflows/docbuild-and-upload.yml

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push:
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branches:
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- 2.2.x
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- 2.3.x
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tags:
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- '*'
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pull_request:
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branches:
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- main
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- 2.3.x
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env:
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ENV_FILE: environment.yml

‎.github/workflows/package-checks.yml

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push:
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branches:
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- main
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- 2.2.x
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- 2.3.x
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pull_request:
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branches:
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- main
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- 2.2.x
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- 2.3.x
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types: [ labeled, opened, synchronize, reopened ]
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permissions:
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fetch-depth: 0
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- name: Set up Python
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uses: mamba-org/setup-micromamba@v1
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uses: mamba-org/setup-micromamba@v2
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with:
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environment-name: recipe-test
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create-args: >-

‎.github/workflows/unit-tests.yml

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- 2.3.x
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pull_request:
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branches:
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- main
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- 2.2.x
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- 2.3.x
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paths-ignore:
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- "doc/**"
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- "web/**"
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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/cibuildwheel@v2.20.0
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uses: pypa/cibuildwheel@v2.21.3
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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:
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CIBW_PLATFORM: ${{ matrix.buildplat[1] == 'pyodide_wasm32' && 'pyodide' || 'auto' }}
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- name: Set up Python
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uses: mamba-org/setup-micromamba@v1
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uses: mamba-org/setup-micromamba@v2
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with:
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# Use a fixed Python, since we might have an unreleased Python not

‎.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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skip: [pyright, mypy]
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- repo: https://github.com/astral-sh/ruff-pre-commit
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rev: v0.5.0
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rev: v0.7.2
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- id: ruff-format
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exclude: ^scripts|^pandas/tests/frame/test_query_eval.py
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- repo: https://github.com/jendrikseipp/vulture
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rev: 'v2.11'
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rev: 'v2.13'
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- id: cython-lint
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rev: v4.6.0
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rev: v5.0.0
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- id: check-case-conflict
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- id: check-toml
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- id: isort
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- repo: https://github.com/asottile/pyupgrade
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rev: v3.19.0
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rev: v1.0.0
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rev: v18.1.8
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rev: v19.1.3
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types: [python]
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additional_dependencies: &pyright_dependencies
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- [email protected].352
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- [email protected].383
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- id: pyright
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# note: assumes python env is setup and activated
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name: pyright reportGeneralTypeIssues

‎ci/code_checks.sh

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-i "pandas.Period.freq GL08" \
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-i "pandas.Period.ordinal GL08" \
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-i "pandas.RangeIndex.from_range PR01,SA01" \
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-i "pandas.RangeIndex.step SA01" \
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-i "pandas.Series.cat.add_categories PR01,PR02" \
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-i "pandas.Series.cat.as_ordered PR01" \
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-i "pandas.Series.cat.as_unordered PR01" \
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-i "pandas.Series.cat.remove_categories PR01,PR02" \
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-i "pandas.Series.cat.remove_unused_categories PR01" \
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-i "pandas.Series.cat.rename_categories PR01,PR02" \
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-i "pandas.Series.cat.reorder_categories PR01,PR02" \
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-i "pandas.Series.cat.set_categories PR01,PR02" \
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-i "pandas.Series.dt.as_unit PR01,PR02" \
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-i "pandas.Series.dt.ceil PR01,PR02" \
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-i "pandas.Series.dt.day_name PR01,PR02" \
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-i "pandas.Series.dt.floor PR01,PR02" \
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-i "pandas.Series.dt.freq GL08" \
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-i "pandas.Series.dt.month_name PR01,PR02" \
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-i "pandas.Series.dt.normalize PR01" \
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-i "pandas.Series.dt.round PR01,PR02" \
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-i "pandas.Series.dt.strftime PR01,PR02" \
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-i "pandas.Series.dt.to_period PR01,PR02" \
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-i "pandas.Series.dt.total_seconds PR01" \
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-i "pandas.Series.dt.tz_convert PR01,PR02" \
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-i "pandas.Series.dt.tz_localize PR01,PR02" \
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-i "pandas.Series.dt.unit GL08" \
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-i "pandas.Series.pad PR01,SA01" \
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-i "pandas.Series.sparse.fill_value SA01" \
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-i "pandas.Series.sparse.from_coo PR07,SA01" \
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-i "pandas.Series.sparse.npoints SA01" \
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-i "pandas.Series.sparse.sp_values SA01" \
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-i "pandas.Timedelta.max PR02" \
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-i "pandas.Timedelta.min PR02" \
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-i "pandas.Timedelta.resolution PR02" \
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-i "pandas.Timedelta.to_timedelta64 SA01" \
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-i "pandas.TimedeltaIndex.to_pytimedelta RT03,SA01" \
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-i "pandas.Timestamp.max PR02" \
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-i "pandas.Timestamp.min PR02" \
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-i "pandas.Timestamp.nanosecond GL08" \
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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_dict_like PR07,SA01" \
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-i "pandas.api.types.is_file_like PR07,SA01" \
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-i "pandas.api.types.is_float PR01,SA01" \
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-i "pandas.api.types.is_float_dtype SA01" \
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-i "pandas.api.types.is_hashable PR01,RT03,SA01" \
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-i "pandas.api.types.is_int64_dtype SA01" \
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-i "pandas.api.types.is_integer PR01,SA01" \
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-i "pandas.api.types.is_interval_dtype SA01" \
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-i "pandas.api.types.is_iterator PR07,SA01" \
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-i "pandas.api.types.is_list_like SA01" \
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-i "pandas.api.types.is_named_tuple PR07,SA01" \
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-i "pandas.api.types.is_object_dtype SA01" \
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-i "pandas.api.types.is_re 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.BooleanArray SA01" \
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-i "pandas.arrays.DatetimeArray SA01" \
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-i "pandas.arrays.IntegerArray SA01" \
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-i "pandas.arrays.IntervalArray.left SA01" \
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-i "pandas.arrays.IntervalArray.length SA01" \
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-i "pandas.arrays.IntervalArray.mid SA01" \
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-i "pandas.arrays.IntervalArray.right 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.agg RT03" \
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-i "pandas.core.groupby.DataFrameGroupBy.aggregate RT03" \
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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.hist RT03" \
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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.ffill RT03" \
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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.date_range RT03" \
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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.CategoricalConversionWarning SA01" \
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-i "pandas.errors.ChainedAssignmentError SA01" \
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-i "pandas.errors.ClosedFileError 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.EmptyDataError SA01" \
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-i "pandas.errors.IntCastingNaNError SA01" \
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-i "pandas.errors.InvalidIndexError SA01" \
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-i "pandas.errors.InvalidVersion 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.OutOfBoundsDatetime 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.SpecificationError 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.StataReader.data_label SA01" \
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-i "pandas.io.stata.StataReader.value_labels RT03,SA01" \
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-i "pandas.io.stata.StataReader.variable_labels 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.period_range RT03,SA01" \
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-i "pandas.plotting.andrews_curves RT03,SA01" \
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-i "pandas.plotting.lag_plot 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.testing.assert_extension_array_equal 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.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" \
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-i "pandas.tseries.offsets.SemiMonthBegin.normalize GL08" \
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-i "pandas.tseries.offsets.SemiMonthBegin.rule_code GL08" \
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-i "pandas.tseries.offsets.SemiMonthEnd SA01" \
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-i "pandas.tseries.offsets.SemiMonthEnd.day_of_month GL08" \
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-i "pandas.tseries.offsets.SemiMonthEnd.is_on_offset GL08" \
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-i "pandas.tseries.offsets.SemiMonthEnd.n GL08" \

‎ci/deps/actions-310-minimum_versions.yaml

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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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‎ci/deps/actions-310.yaml

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- versioneer
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- meson-python=0.13.1
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1313
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- sqlalchemy>=2.0.0
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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

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