Resolve merge conflicts for code_checks docstrings...

Author: veljanin

.github/actions/build_pandas/action.yml

@@ -22,13 +22,6 @@ runs:
         fi
       shell: bash -el {0}
 
-    - name: Uninstall nomkl
-      run: |
-        if conda list nomkl | grep nomkl 1>/dev/null; then
-          conda remove nomkl -y
-        fi
-      shell: bash -el {0}
-
     - name: Build Pandas
       run: |
         if [[ ${{ inputs.editable }} == "true" ]]; then

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

@@ -9,8 +9,6 @@ runs:
     - name: Install ${{ inputs.environment-file }}
       uses: mamba-org/setup-micromamba@v1
       with:
-        # Pinning to avoid 2.0 failures
-        micromamba-version: '1.5.10-0'
         environment-file: ${{ inputs.environment-file }}
         environment-name: test
         condarc-file: ci/.condarc

.github/workflows/unit-tests.yml

@@ -86,7 +86,6 @@ jobs:
       TEST_ARGS: ${{ matrix.test_args || '' }}
       PYTEST_WORKERS: 'auto'
       PYTEST_TARGET: ${{ matrix.pytest_target || 'pandas' }}
-      NPY_PROMOTION_STATE: ${{ matrix.env_file == 'actions-311-numpydev.yaml' && 'weak' || 'legacy' }}
       # Clipboard tests
       QT_QPA_PLATFORM: offscreen
       REMOVE_PYARROW: ${{ matrix.name == 'Future infer strings (without pyarrow)' && '1' || '0' }}

.github/workflows/wheels.yml

@@ -156,7 +156,7 @@ jobs:
         run: echo "sdist_name=$(cd ./dist && ls -d */)" >> "$GITHUB_ENV"
 
       - name: Build wheels
-        uses: pypa/[email protected].0
+        uses: pypa/[email protected].3
         with:
          package-dir: ./dist/${{ startsWith(matrix.buildplat[1], 'macosx') && env.sdist_name || needs.build_sdist.outputs.sdist_file }}
         env:

.pre-commit-config.yaml

@@ -2,9 +2,9 @@ minimum_pre_commit_version: 2.15.0
 exclude: ^LICENSES/|\.(html|csv|svg)$
 # reserve "manual" for relatively slow hooks which we still want to run in CI
 default_stages: [
-    commit,
-    merge-commit,
-    push,
+    pre-commit,
+    pre-merge-commit,
+    pre-push,
     prepare-commit-msg,
     commit-msg,
     post-checkout,
@@ -19,7 +19,7 @@ ci:
     skip: [pyright, mypy]
 repos:
 -   repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.6.9
+    rev: v0.7.2
     hooks:
     -   id: ruff
         args: [--exit-non-zero-on-fix]
@@ -74,7 +74,7 @@ repos:
     hooks:
     -   id: isort
 -   repo: https://github.com/asottile/pyupgrade
-    rev: v3.17.0
+    rev: v3.19.0
     hooks:
     -   id: pyupgrade
         args: [--py310-plus]
@@ -95,7 +95,7 @@ repos:
     - id: sphinx-lint
       args: ["--enable", "all", "--disable", "line-too-long"]
 -   repo: https://github.com/pre-commit/mirrors-clang-format
-    rev: v19.1.1
+    rev: v19.1.3
     hooks:
     - id: clang-format
       files: ^pandas/_libs/src|^pandas/_libs/include

ci/code_checks.sh

@@ -73,30 +73,9 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Period.freq GL08" \
         -i "pandas.Period.ordinal GL08" \
         -i "pandas.RangeIndex.from_range PR01,SA01" \
-        -i "pandas.Series.cat.add_categories PR01,PR02" \
-        -i "pandas.Series.cat.as_ordered PR01" \
-        -i "pandas.Series.cat.as_unordered PR01" \
-        -i "pandas.Series.cat.remove_categories PR01,PR02" \
-        -i "pandas.Series.cat.remove_unused_categories PR01" \
-        -i "pandas.Series.cat.rename_categories PR01,PR02" \
-        -i "pandas.Series.cat.reorder_categories PR01,PR02" \
-        -i "pandas.Series.cat.set_categories PR01,PR02" \
-        -i "pandas.Series.dt.as_unit PR01,PR02" \
-        -i "pandas.Series.dt.ceil PR01,PR02" \
-        -i "pandas.Series.dt.day_name PR01,PR02" \
-        -i "pandas.Series.dt.floor PR01,PR02" \
         -i "pandas.Series.dt.freq GL08" \
-        -i "pandas.Series.dt.month_name PR01,PR02" \
-        -i "pandas.Series.dt.normalize PR01" \
-        -i "pandas.Series.dt.round PR01,PR02" \
-        -i "pandas.Series.dt.strftime PR01,PR02" \
-        -i "pandas.Series.dt.to_period PR01,PR02" \
-        -i "pandas.Series.dt.total_seconds PR01" \
-        -i "pandas.Series.dt.tz_convert PR01,PR02" \
-        -i "pandas.Series.dt.tz_localize PR01,PR02" \
         -i "pandas.Series.dt.unit GL08" \
         -i "pandas.Series.pad PR01,SA01" \
-        -i "pandas.Series.sparse.from_coo PR07,SA01" \
         -i "pandas.Timedelta.max PR02" \
         -i "pandas.Timedelta.min PR02" \
         -i "pandas.Timedelta.resolution PR02" \
@@ -106,90 +85,63 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.Timestamp.resolution PR02" \
         -i "pandas.Timestamp.tzinfo GL08" \
         -i "pandas.Timestamp.year GL08" \
-        -i "pandas.api.types.is_float PR01,SA01" \
-        -i "pandas.api.types.is_integer PR01,SA01" \
-        -i "pandas.api.types.is_iterator PR07,SA01" \
         -i "pandas.api.types.is_re_compilable PR07,SA01" \
         -i "pandas.api.types.pandas_dtype PR07,RT03,SA01" \
         -i "pandas.arrays.ArrowExtensionArray PR07,SA01" \
-        -i "pandas.arrays.DatetimeArray SA01" \
         -i "pandas.arrays.IntegerArray SA01" \
-        -i "pandas.arrays.IntervalArray.left SA01" \
         -i "pandas.arrays.IntervalArray.length SA01" \
         -i "pandas.arrays.IntervalArray.right SA01" \
         -i "pandas.arrays.NumpyExtensionArray SA01" \
         -i "pandas.arrays.SparseArray PR07,SA01" \
         -i "pandas.arrays.TimedeltaArray PR07,SA01" \
-        -i "pandas.core.groupby.DataFrameGroupBy.__iter__ RT03,SA01" \
         -i "pandas.core.groupby.DataFrameGroupBy.boxplot PR07,RT03,SA01" \
         -i "pandas.core.groupby.DataFrameGroupBy.get_group RT03,SA01" \
         -i "pandas.core.groupby.DataFrameGroupBy.groups SA01" \
         -i "pandas.core.groupby.DataFrameGroupBy.indices SA01" \
         -i "pandas.core.groupby.DataFrameGroupBy.nth PR02" \
         -i "pandas.core.groupby.DataFrameGroupBy.nunique SA01" \
-        -i "pandas.core.groupby.DataFrameGroupBy.ohlc SA01" \
         -i "pandas.core.groupby.DataFrameGroupBy.plot PR02" \
         -i "pandas.core.groupby.DataFrameGroupBy.sem SA01" \
-        -i "pandas.core.groupby.SeriesGroupBy.__iter__ RT03,SA01" \
         -i "pandas.core.groupby.SeriesGroupBy.get_group RT03,SA01" \
         -i "pandas.core.groupby.SeriesGroupBy.groups SA01" \
         -i "pandas.core.groupby.SeriesGroupBy.indices SA01" \
         -i "pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing SA01" \
         -i "pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing SA01" \
         -i "pandas.core.groupby.SeriesGroupBy.nth PR02" \
-        -i "pandas.core.groupby.SeriesGroupBy.ohlc SA01" \
         -i "pandas.core.groupby.SeriesGroupBy.plot PR02" \
         -i "pandas.core.groupby.SeriesGroupBy.sem SA01" \
-        -i "pandas.core.resample.Resampler.__iter__ RT03,SA01" \
         -i "pandas.core.resample.Resampler.get_group RT03,SA01" \
         -i "pandas.core.resample.Resampler.groups SA01" \
         -i "pandas.core.resample.Resampler.indices SA01" \
         -i "pandas.core.resample.Resampler.max PR01,RT03,SA01" \
         -i "pandas.core.resample.Resampler.mean SA01" \
         -i "pandas.core.resample.Resampler.min PR01,RT03,SA01" \
-        -i "pandas.core.resample.Resampler.ohlc SA01" \
         -i "pandas.core.resample.Resampler.prod SA01" \
         -i "pandas.core.resample.Resampler.quantile PR01,PR07" \
         -i "pandas.core.resample.Resampler.sem SA01" \
         -i "pandas.core.resample.Resampler.std SA01" \
-        -i "pandas.core.resample.Resampler.sum SA01" \
         -i "pandas.core.resample.Resampler.transform PR01,RT03,SA01" \
         -i "pandas.core.resample.Resampler.var SA01" \
         -i "pandas.errors.AttributeConflictWarning SA01" \
-        -i "pandas.errors.CSSWarning SA01" \
-        -i "pandas.errors.CategoricalConversionWarning SA01" \
         -i "pandas.errors.ChainedAssignmentError SA01" \
         -i "pandas.errors.DataError SA01" \
         -i "pandas.errors.DuplicateLabelError SA01" \
         -i "pandas.errors.IntCastingNaNError SA01" \
         -i "pandas.errors.InvalidIndexError SA01" \
-        -i "pandas.errors.InvalidVersion SA01" \
         -i "pandas.errors.NullFrequencyError SA01" \
         -i "pandas.errors.NumExprClobberingError SA01" \
         -i "pandas.errors.NumbaUtilError SA01" \
-        -i "pandas.errors.OptionError SA01" \
         -i "pandas.errors.OutOfBoundsTimedelta SA01" \
         -i "pandas.errors.PerformanceWarning SA01" \
         -i "pandas.errors.PossibleDataLossError SA01" \
-        -i "pandas.errors.PossiblePrecisionLoss SA01" \
-        -i "pandas.errors.SpecificationError SA01" \
         -i "pandas.errors.UndefinedVariableError PR01,SA01" \
         -i "pandas.errors.UnsortedIndexError SA01" \
-        -i "pandas.errors.UnsupportedFunctionCall SA01" \
         -i "pandas.errors.ValueLabelTypeMismatch SA01" \
         -i "pandas.infer_freq SA01" \
         -i "pandas.io.json.build_table_schema PR07,RT03,SA01" \
-        -i "pandas.io.stata.StataReader.data_label SA01" \
-        -i "pandas.io.stata.StataReader.value_labels RT03,SA01" \
-        -i "pandas.io.stata.StataReader.variable_labels RT03,SA01" \
         -i "pandas.io.stata.StataWriter.write_file SA01" \
-        -i "pandas.json_normalize RT03,SA01" \
-        -i "pandas.period_range RT03,SA01" \
         -i "pandas.plotting.andrews_curves RT03,SA01" \
-        -i "pandas.plotting.lag_plot RT03,SA01" \
         -i "pandas.plotting.scatter_matrix PR07,SA01" \
-        -i "pandas.set_eng_float_format RT03,SA01" \
-        -i "pandas.testing.assert_extension_array_equal SA01" \
         -i "pandas.tseries.offsets.BDay PR02,SA01" \
         -i "pandas.tseries.offsets.BQuarterBegin.is_on_offset GL08" \
         -i "pandas.tseries.offsets.BQuarterBegin.n GL08" \
@@ -335,7 +287,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.tseries.offsets.Second.is_on_offset GL08" \
         -i "pandas.tseries.offsets.Second.n GL08" \
         -i "pandas.tseries.offsets.Second.normalize GL08" \
-        -i "pandas.tseries.offsets.SemiMonthBegin SA01" \
         -i "pandas.tseries.offsets.SemiMonthBegin.day_of_month GL08" \
         -i "pandas.tseries.offsets.SemiMonthBegin.is_on_offset GL08" \
         -i "pandas.tseries.offsets.SemiMonthBegin.n GL08" \

ci/deps/actions-310-minimum_versions.yaml

@@ -7,9 +7,9 @@ dependencies:
   - python=3.10
 
   # build dependencies
-  - versioneer[toml]
+  - versioneer
   - cython>=0.29.33
-  - meson[ninja]=1.2.1
+  - meson=1.2.1
   - meson-python=0.13.1
 
   # test dependencies

ci/deps/actions-310.yaml

@@ -5,9 +5,9 @@ dependencies:
   - python=3.10
 
   # build dependencies
-  - versioneer[toml]
+  - versioneer
   - cython>=0.29.33
-  - meson[ninja]=1.2.1
+  - meson=1.2.1
   - meson-python=0.13.1
 
   # test dependencies
@@ -52,7 +52,7 @@ dependencies:
   - scipy>=1.10.0
   - sqlalchemy>=2.0.0
   - tabulate>=0.9.0
-  - xarray>=2022.12.0
+  - xarray>=2022.12.0, <=2024.9.0
   - xlrd>=2.0.1
   - xlsxwriter>=3.0.5
   - zstandard>=0.19.0

ci/deps/actions-311-downstream_compat.yaml

@@ -6,9 +6,9 @@ dependencies:
   - python=3.11
 
   # build dependencies
-  - versioneer[toml]
+  - versioneer
   - cython>=0.29.33
-  - meson[ninja]=1.2.1
+  - meson=1.2.1
   - meson-python=0.13.1
 
   # test dependencies
@@ -53,7 +53,7 @@ dependencies:
   - scipy>=1.10.0
   - sqlalchemy>=2.0.0
   - tabulate>=0.9.0
-  - xarray>=2022.12.0
+  - xarray>=2022.12.0, <=2024.9.0
   - xlrd>=2.0.1
   - xlsxwriter>=3.0.5
   - zstandard>=0.19.0

ci/deps/actions-311-numpydev.yaml

@@ -5,8 +5,8 @@ dependencies:
   - python=3.11
 
   # build dependencies
-  - versioneer[toml]
-  - meson[ninja]=1.2.1
+  - versioneer
+  - meson=1.2.1
   - meson-python=0.13.1
   - cython>=0.29.33