@@ -73,44 +73,33 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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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.Series.dt.freq GL08" \
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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.Timedelta.max PR02" \
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-i " pandas.Timedelta.resolution PR02" \
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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_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.IntegerArray SA01" \
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-i " pandas.arrays.IntervalArray.length 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.boxplot PR07,RT03,SA01" \
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-i " pandas.core.groupby.DataFrameGroupBy.get_group RT03,SA01" \
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+ <<< <<< < HEAD
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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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+ =======
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+ -i " pandas.core.groupby.DataFrameGroupBy.nunique SA01" \
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+ >>>>>>> upstream/main
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-i " pandas.core.groupby.DataFrameGroupBy.plot PR02" \
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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.plot PR02" \
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-i " pandas.core.groupby.SeriesGroupBy.sem 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" \
@@ -120,24 +109,12 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i " pandas.core.resample.Resampler.std 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.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.IntCastingNaNError SA01" \
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- -i " pandas.errors.InvalidIndexError 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.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.UndefinedVariableError PR01,SA01" \
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- -i " pandas.errors.UnsortedIndexError 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.plotting.andrews_curves RT03,SA01" \
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-i " pandas.plotting.scatter_matrix PR07,SA01" \
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-i " pandas.tseries.offsets.BDay PR02,SA01" \
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