@@ -73,67 +73,28 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
7373 -i " pandas.Period.freq GL08" \
7474 -i " pandas.Period.ordinal GL08" \
7575 -i " pandas.RangeIndex.from_range PR01,SA01" \
76- -i " pandas.Series.dt.freq GL08" \
77- -i " pandas.Series.dt.unit GL08" \
78- -i " pandas.Series.pad PR01,SA01" \
7976 -i " pandas.Timedelta.max PR02" \
8077 -i " pandas.Timedelta.min PR02" \
8178 -i " pandas.Timedelta.resolution PR02" \
8279 -i " pandas.Timestamp.max PR02" \
8380 -i " pandas.Timestamp.min PR02" \
8481 -i " pandas.Timestamp.resolution PR02" \
8582 -i " pandas.Timestamp.tzinfo GL08" \
86- -i " pandas.api.types.is_re_compilable PR07,SA01" \
87- -i " pandas.api.types.pandas_dtype PR07,RT03,SA01" \
8883 -i " pandas.arrays.ArrowExtensionArray PR07,SA01" \
89- -i " pandas.arrays.IntegerArray SA01" \
90- -i " pandas.arrays.IntervalArray.length SA01" \
9184 -i " pandas.arrays.NumpyExtensionArray SA01" \
9285 -i " pandas.arrays.TimedeltaArray PR07,SA01" \
93- -i " pandas.core.groupby.DataFrameGroupBy.boxplot PR07,RT03,SA01" \
94- -i " pandas.core.groupby.DataFrameGroupBy.get_group RT03,SA01" \
95- -i " pandas.core.groupby.DataFrameGroupBy.indices SA01" \
96- -i " pandas.core.groupby.DataFrameGroupBy.nth PR02" \
97- -i " pandas.core.groupby.DataFrameGroupBy.nunique SA01" \
9886 -i " pandas.core.groupby.DataFrameGroupBy.plot PR02" \
99- -i " pandas.core.groupby.DataFrameGroupBy.sem SA01" \
100- -i " pandas.core.groupby.SeriesGroupBy.get_group RT03,SA01" \
101- -i " pandas.core.groupby.SeriesGroupBy.indices SA01" \
102- -i " pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing SA01" \
103- -i " pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing SA01" \
104- -i " pandas.core.groupby.SeriesGroupBy.nth PR02" \
10587 -i " pandas.core.groupby.SeriesGroupBy.plot PR02" \
106- -i " pandas.core.groupby.SeriesGroupBy.sem SA01" \
107- -i " pandas.core.resample.Resampler.get_group RT03,SA01" \
108- -i " pandas.core.resample.Resampler.indices SA01" \
10988 -i " pandas.core.resample.Resampler.max PR01,RT03,SA01" \
11089 -i " pandas.core.resample.Resampler.mean SA01" \
11190 -i " pandas.core.resample.Resampler.min PR01,RT03,SA01" \
11291 -i " pandas.core.resample.Resampler.prod SA01" \
11392 -i " pandas.core.resample.Resampler.quantile PR01,PR07" \
114- -i " pandas.core.resample.Resampler.sem SA01" \
11593 -i " pandas.core.resample.Resampler.std SA01" \
11694 -i " pandas.core.resample.Resampler.transform PR01,RT03,SA01" \
11795 -i " pandas.core.resample.Resampler.var SA01" \
118- -i " pandas.errors.AttributeConflictWarning SA01" \
119- -i " pandas.errors.ChainedAssignmentError SA01" \
120- -i " pandas.errors.DuplicateLabelError SA01" \
121- -i " pandas.errors.IntCastingNaNError SA01" \
122- -i " pandas.errors.InvalidIndexError SA01" \
123- -i " pandas.errors.NullFrequencyError SA01" \
124- -i " pandas.errors.NumExprClobberingError SA01" \
125- -i " pandas.errors.NumbaUtilError SA01" \
126- -i " pandas.errors.OutOfBoundsTimedelta SA01" \
127- -i " pandas.errors.PerformanceWarning SA01" \
128- -i " pandas.errors.PossibleDataLossError SA01" \
129- -i " pandas.errors.UndefinedVariableError PR01,SA01" \
130- -i " pandas.errors.UnsortedIndexError SA01" \
13196 -i " pandas.errors.ValueLabelTypeMismatch SA01" \
132- -i " pandas.infer_freq SA01" \
133- -i " pandas.io.json.build_table_schema PR07,RT03,SA01" \
134- -i " pandas.io.stata.StataWriter.write_file SA01" \
13597 -i " pandas.plotting.andrews_curves RT03,SA01" \
136- -i " pandas.plotting.scatter_matrix PR07,SA01" \
13798 -i " pandas.tseries.offsets.BDay PR02,SA01" \
13899 -i " pandas.tseries.offsets.BQuarterBegin.is_on_offset GL08" \
139100 -i " pandas.tseries.offsets.BQuarterBegin.n GL08" \
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