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Merge remote-tracking branch 'upstream/main' into ref/index_equiv
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‎.circleci/config.yml

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@@ -72,10 +72,6 @@ jobs:
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no_output_timeout: 30m # Sometimes the tests won't generate any output, make sure the job doesn't get killed by that
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command: |
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pip3 install cibuildwheel==2.15.0
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# When this is a nightly wheel build, allow picking up NumPy 2.0 dev wheels:
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if [[ "$IS_SCHEDULE_DISPATCH" == "true" || "$IS_PUSH" != 'true' ]]; then
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export CIBW_ENVIRONMENT="PIP_EXTRA_INDEX_URL=https://pypi.anaconda.org/scientific-python-nightly-wheels/simple"
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fi
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cibuildwheel --prerelease-pythons --output-dir wheelhouse
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environment:

‎.github/workflows/wheels.yml

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CIBW_PRERELEASE_PYTHONS: True
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CIBW_BUILD: ${{ matrix.python[0] }}-${{ matrix.buildplat[1] }}
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- name: Build nightly wheels (with NumPy pre-release)
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if: ${{ (env.IS_SCHEDULE_DISPATCH == 'true' && env.IS_PUSH != 'true') }}
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uses: pypa/[email protected]
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with:
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package-dir: ./dist/${{ startsWith(matrix.buildplat[1], 'macosx') && env.sdist_name || needs.build_sdist.outputs.sdist_file }}
156-
env:
157-
# The nightly wheels should be build witht he NumPy 2.0 pre-releases
158-
# which requires the additional URL.
159-
CIBW_ENVIRONMENT: PIP_EXTRA_INDEX_URL=https://pypi.anaconda.org/scientific-python-nightly-wheels/simple
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CIBW_PRERELEASE_PYTHONS: True
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CIBW_BUILD: ${{ matrix.python[0] }}-${{ matrix.buildplat[1] }}
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- name: Set up Python
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uses: mamba-org/setup-micromamba@v1
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with:

‎ci/code_checks.sh

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@@ -84,7 +84,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.DataFrame.assign SA01" \
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-i "pandas.DataFrame.at_time PR01" \
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-i "pandas.DataFrame.axes SA01" \
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-i "pandas.DataFrame.backfill PR01,SA01" \
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-i "pandas.DataFrame.bfill SA01" \
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-i "pandas.DataFrame.columns SA01" \
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-i "pandas.DataFrame.copy SA01" \
@@ -99,12 +98,10 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.DataFrame.kurt RT03,SA01" \
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-i "pandas.DataFrame.kurtosis RT03,SA01" \
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-i "pandas.DataFrame.last_valid_index SA01" \
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-i "pandas.DataFrame.mask RT03" \
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-i "pandas.DataFrame.max RT03" \
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-i "pandas.DataFrame.mean RT03,SA01" \
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-i "pandas.DataFrame.median RT03,SA01" \
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-i "pandas.DataFrame.min RT03" \
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-i "pandas.DataFrame.pad PR01,SA01" \
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-i "pandas.DataFrame.plot PR02,SA01" \
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-i "pandas.DataFrame.pop SA01" \
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-i "pandas.DataFrame.prod RT03" \
@@ -119,19 +116,14 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.DataFrame.sparse.to_dense SA01" \
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-i "pandas.DataFrame.std PR01,RT03,SA01" \
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-i "pandas.DataFrame.sum RT03" \
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-i "pandas.DataFrame.swapaxes PR01,SA01" \
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-i "pandas.DataFrame.swaplevel SA01" \
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-i "pandas.DataFrame.to_feather SA01" \
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-i "pandas.DataFrame.to_markdown SA01" \
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-i "pandas.DataFrame.to_parquet RT03" \
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-i "pandas.DataFrame.to_period SA01" \
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-i "pandas.DataFrame.to_timestamp SA01" \
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-i "pandas.DataFrame.tz_convert SA01" \
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-i "pandas.DataFrame.tz_localize SA01" \
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-i "pandas.DataFrame.unstack RT03" \
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-i "pandas.DataFrame.value_counts RT03" \
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-i "pandas.DataFrame.var PR01,RT03,SA01" \
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-i "pandas.DataFrame.where RT03" \
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-i "pandas.DatetimeIndex.ceil SA01" \
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-i "pandas.DatetimeIndex.date SA01" \
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-i "pandas.DatetimeIndex.day SA01" \
@@ -226,7 +218,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.Index.to_list RT03" \
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-i "pandas.Index.union PR07,RT03,SA01" \
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-i "pandas.Index.unique RT03" \
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-i "pandas.Index.value_counts RT03" \
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-i "pandas.Index.view GL08" \
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-i "pandas.Int16Dtype SA01" \
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-i "pandas.Int32Dtype SA01" \
@@ -400,7 +391,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.Series.list.flatten SA01" \
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-i "pandas.Series.list.len SA01" \
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-i "pandas.Series.lt PR07,SA01" \
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-i "pandas.Series.mask RT03" \
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-i "pandas.Series.max RT03" \
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-i "pandas.Series.mean RT03,SA01" \
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-i "pandas.Series.median RT03,SA01" \
@@ -482,12 +472,8 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.Series.to_timestamp RT03,SA01" \
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-i "pandas.Series.truediv PR07" \
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-i "pandas.Series.tz_convert SA01" \
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-i "pandas.Series.tz_localize SA01" \
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-i "pandas.Series.unstack SA01" \
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-i "pandas.Series.update PR07,SA01" \
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-i "pandas.Series.value_counts RT03" \
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-i "pandas.Series.var PR01,RT03,SA01" \
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-i "pandas.Series.where RT03" \
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-i "pandas.SparseDtype SA01" \
492478
-i "pandas.Timedelta PR07,SA01" \
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-i "pandas.Timedelta.as_unit SA01" \
@@ -504,7 +490,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.Timedelta.to_timedelta64 SA01" \
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-i "pandas.Timedelta.total_seconds SA01" \
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-i "pandas.Timedelta.view SA01" \
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-i "pandas.TimedeltaIndex PR01" \
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-i "pandas.TimedeltaIndex.as_unit RT03,SA01" \
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-i "pandas.TimedeltaIndex.ceil SA01" \
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-i "pandas.TimedeltaIndex.components SA01" \
@@ -682,60 +667,40 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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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.apply RT03" \
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-i "pandas.core.groupby.DataFrameGroupBy.boxplot PR07,RT03,SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.cummax RT03" \
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-i "pandas.core.groupby.DataFrameGroupBy.cummin RT03" \
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-i "pandas.core.groupby.DataFrameGroupBy.cumprod RT03" \
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-i "pandas.core.groupby.DataFrameGroupBy.cumsum RT03" \
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-i "pandas.core.groupby.DataFrameGroupBy.filter RT03,SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.filter 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.indices SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.max SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.mean RT03" \
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-i "pandas.core.groupby.DataFrameGroupBy.median SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.min SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.nth PR02" \
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-i "pandas.core.groupby.DataFrameGroupBy.nunique RT03,SA01" \
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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,SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.prod SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.rank RT03" \
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-i "pandas.core.groupby.DataFrameGroupBy.resample RT03" \
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-i "pandas.core.groupby.DataFrameGroupBy.sem SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.skew RT03" \
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-i "pandas.core.groupby.DataFrameGroupBy.sum SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.transform RT03" \
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-i "pandas.core.groupby.SeriesGroupBy.__iter__ RT03,SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.agg RT03" \
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-i "pandas.core.groupby.SeriesGroupBy.aggregate RT03" \
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-i "pandas.core.groupby.SeriesGroupBy.apply RT03" \
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-i "pandas.core.groupby.SeriesGroupBy.cummax RT03" \
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-i "pandas.core.groupby.SeriesGroupBy.cummin RT03" \
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-i "pandas.core.groupby.SeriesGroupBy.cumprod RT03" \
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-i "pandas.core.groupby.SeriesGroupBy.cumsum RT03" \
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-i "pandas.core.groupby.SeriesGroupBy.filter PR01,RT03,SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.filter PR01,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.max SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.mean RT03" \
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-i "pandas.core.groupby.SeriesGroupBy.median SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.min 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,SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.prod SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.rank RT03" \
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-i "pandas.core.groupby.SeriesGroupBy.resample RT03" \
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-i "pandas.core.groupby.SeriesGroupBy.sem SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.skew RT03" \
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-i "pandas.core.groupby.SeriesGroupBy.sum SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.transform RT03" \
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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.io.formats.style.Styler.clear SA01" \
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-i "pandas.io.formats.style.Styler.concat RT03,SA01" \
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-i "pandas.io.formats.style.Styler.export RT03" \
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-i "pandas.io.formats.style.Styler.format RT03" \
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-i "pandas.io.formats.style.Styler.format_index RT03" \
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-i "pandas.io.formats.style.Styler.from_custom_template SA01" \
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-i "pandas.io.formats.style.Styler.hide RT03,SA01" \
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-i "pandas.io.formats.style.Styler.highlight_between RT03" \
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808771
-i "pandas.io.formats.style.Styler.highlight_quantile RT03" \
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-i "pandas.io.formats.style.Styler.map RT03" \
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-i "pandas.io.formats.style.Styler.map_index RT03" \
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-i "pandas.io.formats.style.Styler.relabel_index RT03" \
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-i "pandas.io.formats.style.Styler.set_caption RT03,SA01" \
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-i "pandas.io.formats.style.Styler.set_properties RT03,SA01" \
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-i "pandas.io.formats.style.Styler.set_sticky RT03,SA01" \
@@ -1022,7 +984,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.tseries.offsets.DateOffset.rule_code GL08" \
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-i "pandas.tseries.offsets.Day PR02" \
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-i "pandas.tseries.offsets.Day.copy SA01" \
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-i "pandas.tseries.offsets.Day.delta GL08" \
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-i "pandas.tseries.offsets.Day.freqstr SA01" \
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-i "pandas.tseries.offsets.Day.is_on_offset GL08" \
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-i "pandas.tseries.offsets.Day.kwds SA01" \
@@ -1075,7 +1036,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.tseries.offsets.FY5253Quarter.year_has_extra_week GL08" \
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-i "pandas.tseries.offsets.Hour PR02" \
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-i "pandas.tseries.offsets.Hour.copy SA01" \
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-i "pandas.tseries.offsets.Hour.delta GL08" \
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-i "pandas.tseries.offsets.Hour.freqstr SA01" \
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-i "pandas.tseries.offsets.Hour.is_on_offset GL08" \
10811041
-i "pandas.tseries.offsets.Hour.kwds SA01" \
@@ -1098,7 +1058,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
10981058
-i "pandas.tseries.offsets.LastWeekOfMonth.weekday GL08" \
10991059
-i "pandas.tseries.offsets.Micro PR02" \
11001060
-i "pandas.tseries.offsets.Micro.copy SA01" \
1101-
-i "pandas.tseries.offsets.Micro.delta GL08" \
11021061
-i "pandas.tseries.offsets.Micro.freqstr SA01" \
11031062
-i "pandas.tseries.offsets.Micro.is_on_offset GL08" \
11041063
-i "pandas.tseries.offsets.Micro.kwds SA01" \
@@ -1109,7 +1068,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
11091068
-i "pandas.tseries.offsets.Micro.rule_code GL08" \
11101069
-i "pandas.tseries.offsets.Milli PR02" \
11111070
-i "pandas.tseries.offsets.Milli.copy SA01" \
1112-
-i "pandas.tseries.offsets.Milli.delta GL08" \
11131071
-i "pandas.tseries.offsets.Milli.freqstr SA01" \
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-i "pandas.tseries.offsets.Milli.is_on_offset GL08" \
11151073
-i "pandas.tseries.offsets.Milli.kwds SA01" \
@@ -1120,7 +1078,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
11201078
-i "pandas.tseries.offsets.Milli.rule_code GL08" \
11211079
-i "pandas.tseries.offsets.Minute PR02" \
11221080
-i "pandas.tseries.offsets.Minute.copy SA01" \
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-i "pandas.tseries.offsets.Minute.delta GL08" \
11241081
-i "pandas.tseries.offsets.Minute.freqstr SA01" \
11251082
-i "pandas.tseries.offsets.Minute.is_on_offset GL08" \
11261083
-i "pandas.tseries.offsets.Minute.kwds SA01" \
@@ -1151,7 +1108,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
11511108
-i "pandas.tseries.offsets.MonthEnd.rule_code GL08" \
11521109
-i "pandas.tseries.offsets.Nano PR02" \
11531110
-i "pandas.tseries.offsets.Nano.copy SA01" \
1154-
-i "pandas.tseries.offsets.Nano.delta GL08" \
11551111
-i "pandas.tseries.offsets.Nano.freqstr SA01" \
11561112
-i "pandas.tseries.offsets.Nano.is_on_offset GL08" \
11571113
-i "pandas.tseries.offsets.Nano.kwds SA01" \
@@ -1184,7 +1140,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
11841140
-i "pandas.tseries.offsets.QuarterEnd.startingMonth GL08" \
11851141
-i "pandas.tseries.offsets.Second PR02" \
11861142
-i "pandas.tseries.offsets.Second.copy SA01" \
1187-
-i "pandas.tseries.offsets.Second.delta GL08" \
11881143
-i "pandas.tseries.offsets.Second.freqstr SA01" \
11891144
-i "pandas.tseries.offsets.Second.is_on_offset GL08" \
11901145
-i "pandas.tseries.offsets.Second.kwds SA01" \
@@ -1217,7 +1172,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
12171172
-i "pandas.tseries.offsets.SemiMonthEnd.rule_code GL08" \
12181173
-i "pandas.tseries.offsets.Tick GL08" \
12191174
-i "pandas.tseries.offsets.Tick.copy SA01" \
1220-
-i "pandas.tseries.offsets.Tick.delta GL08" \
12211175
-i "pandas.tseries.offsets.Tick.freqstr SA01" \
12221176
-i "pandas.tseries.offsets.Tick.is_on_offset GL08" \
12231177
-i "pandas.tseries.offsets.Tick.kwds SA01" \

‎ci/deps/actions-310.yaml

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@@ -26,7 +26,7 @@ dependencies:
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- beautifulsoup4>=4.11.2
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- blosc>=1.21.3
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- bottleneck>=1.3.6
29-
- fastparquet>=2023.04.0
29+
- fastparquet>=2023.10.0
3030
- fsspec>=2022.11.0
3131
- html5lib>=1.1
3232
- hypothesis>=6.46.1
@@ -57,7 +57,7 @@ dependencies:
5757
- zstandard>=0.19.0
5858

5959
- pip:
60-
- adbc-driver-postgresql>=0.8.0
60+
- adbc-driver-postgresql>=0.10.0
6161
- adbc-driver-sqlite>=0.8.0
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- tzdata>=2022.7
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- pytest-localserver>=0.7.1

‎ci/deps/actions-311-downstream_compat.yaml

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -28,7 +28,7 @@ dependencies:
2828
- beautifulsoup4>=4.11.2
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- blosc>=1.21.3
3030
- bottleneck>=1.3.6
31-
- fastparquet>=2023.04.0
31+
- fastparquet>=2023.10.0
3232
- fsspec>=2022.11.0
3333
- html5lib>=1.1
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- hypothesis>=6.46.1
@@ -72,6 +72,6 @@ dependencies:
7272
- pyyaml
7373
- py
7474
- pip:
75-
- adbc-driver-postgresql>=0.8.0
75+
- adbc-driver-postgresql>=0.10.0
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- adbc-driver-sqlite>=0.8.0
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- tzdata>=2022.7

‎ci/deps/actions-311-numpydev.yaml

Lines changed: 1 addition & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -13,10 +13,7 @@ dependencies:
1313
# test dependencies
1414
- pytest>=7.3.2
1515
- pytest-cov
16-
# Once pytest-cov > 4 comes out, unpin this
17-
# Right now, a DeprecationWarning related to rsyncdir
18-
# causes an InternalError within pytest
19-
- pytest-xdist>=2.2.0, <3
16+
- pytest-xdist>=2.2.0
2017
- hypothesis>=6.46.1
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2219
# pandas dependencies

‎ci/deps/actions-311.yaml

Lines changed: 2 additions & 2 deletions
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@@ -26,7 +26,7 @@ dependencies:
2626
- beautifulsoup4>=4.11.2
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- blosc>=1.21.3
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- bottleneck>=1.3.6
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- fastparquet>=2023.04.0
29+
- fastparquet>=2023.10.0
3030
- fsspec>=2022.11.0
3131
- html5lib>=1.1
3232
- hypothesis>=6.46.1
@@ -57,6 +57,6 @@ dependencies:
5757
- zstandard>=0.19.0
5858

5959
- pip:
60-
- adbc-driver-postgresql>=0.8.0
60+
- adbc-driver-postgresql>=0.10.0
6161
- adbc-driver-sqlite>=0.8.0
6262
- pytest-localserver>=0.7.1

‎ci/deps/actions-312.yaml

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- beautifulsoup4>=4.11.2
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- blosc>=1.21.3
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- bottleneck>=1.3.6
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- fastparquet>=2023.04.0
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- fastparquet>=2023.10.0
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- fsspec>=2022.11.0
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- html5lib>=1.1
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- hypothesis>=6.46.1
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- gcsfs>=2022.11.0
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- jinja2>=3.1.2
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- lxml>=4.9.2
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- matplotlib>=3.6.3
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# - numba>=0.56.4
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- numba>=0.56.4
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- numexpr>=2.8.4
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- odfpy>=1.4.1
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- qtpy>=2.3.0
@@ -44,7 +44,7 @@ dependencies:
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- pyarrow>=10.0.1
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- pymysql>=1.0.2
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- pyreadstat>=1.2.0
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# - pytables>=3.8.0
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- pytables>=3.8.0
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- python-calamine>=0.1.7
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- pyxlsb>=1.0.10
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- s3fs>=2022.11.0
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- zstandard>=0.19.0
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- pip:
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- adbc-driver-postgresql>=0.8.0
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- adbc-driver-postgresql>=0.10.0
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- adbc-driver-sqlite>=0.8.0
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- tzdata>=2022.7
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- pytest-localserver>=0.7.1

‎ci/deps/actions-39-minimum_versions.yaml

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- beautifulsoup4=4.11.2
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- blosc=1.21.3
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- bottleneck=1.3.6
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- fastparquet=2023.04.0
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- fastparquet=2023.10.0
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- fsspec=2022.11.0
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- html5lib=1.1
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- hypothesis=6.46.1
@@ -60,6 +60,6 @@ dependencies:
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- zstandard=0.19.0
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- pip:
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- adbc-driver-postgresql==0.8.0
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- adbc-driver-postgresql==0.10.0
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- adbc-driver-sqlite==0.8.0
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- tzdata==2022.7

‎ci/deps/actions-39.yaml

Lines changed: 2 additions & 2 deletions
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@@ -26,7 +26,7 @@ dependencies:
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- beautifulsoup4>=4.11.2
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- blosc>=1.21.3
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- bottleneck>=1.3.6
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- fastparquet>=2023.04.0
29+
- fastparquet>=2023.10.0
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- fsspec>=2022.11.0
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- html5lib>=1.1
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- hypothesis>=6.46.1
@@ -57,7 +57,7 @@ dependencies:
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- zstandard>=0.19.0
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- pip:
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- adbc-driver-postgresql>=0.8.0
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- adbc-driver-postgresql>=0.10.0
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- adbc-driver-sqlite>=0.8.0
6262
- tzdata>=2022.7
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- pytest-localserver>=0.7.1

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