@@ -73,87 +73,41 @@ 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.RangeIndex.step SA01" \
77- -i " pandas.Series.cat.add_categories PR01,PR02" \
78- -i " pandas.Series.cat.as_ordered PR01" \
79- -i " pandas.Series.cat.as_unordered PR01" \
80- -i " pandas.Series.cat.remove_categories PR01,PR02" \
81- -i " pandas.Series.cat.remove_unused_categories PR01" \
82- -i " pandas.Series.cat.rename_categories PR01,PR02" \
83- -i " pandas.Series.cat.reorder_categories PR01,PR02" \
84- -i " pandas.Series.cat.set_categories PR01,PR02" \
85- -i " pandas.Series.dt.as_unit PR01,PR02" \
86- -i " pandas.Series.dt.ceil PR01,PR02" \
87- -i " pandas.Series.dt.day_name PR01,PR02" \
88- -i " pandas.Series.dt.floor PR01,PR02" \
8976 -i " pandas.Series.dt.freq GL08" \
90- -i " pandas.Series.dt.month_name PR01,PR02" \
91- -i " pandas.Series.dt.normalize PR01" \
92- -i " pandas.Series.dt.round PR01,PR02" \
93- -i " pandas.Series.dt.strftime PR01,PR02" \
94- -i " pandas.Series.dt.to_period PR01,PR02" \
95- -i " pandas.Series.dt.total_seconds PR01" \
96- -i " pandas.Series.dt.tz_convert PR01,PR02" \
97- -i " pandas.Series.dt.tz_localize PR01,PR02" \
9877 -i " pandas.Series.dt.unit GL08" \
9978 -i " pandas.Series.pad PR01,SA01" \
100- -i " pandas.Series.sparse.fill_value SA01" \
101- -i " pandas.Series.sparse.from_coo PR07,SA01" \
102- -i " pandas.Series.sparse.npoints SA01" \
103- -i " pandas.Series.sparse.sp_values SA01" \
10479 -i " pandas.Timedelta.max PR02" \
10580 -i " pandas.Timedelta.min PR02" \
10681 -i " pandas.Timedelta.resolution PR02" \
107- -i " pandas.Timedelta.to_timedelta64 SA01" \
108- -i " pandas.TimedeltaIndex.to_pytimedelta RT03,SA01" \
10982 -i " pandas.Timestamp.max PR02" \
11083 -i " pandas.Timestamp.min PR02" \
11184 -i " pandas.Timestamp.nanosecond GL08" \
11285 -i " pandas.Timestamp.resolution PR02" \
11386 -i " pandas.Timestamp.tzinfo GL08" \
11487 -i " pandas.Timestamp.year GL08" \
115- -i " pandas.api.types.is_dict_like PR07,SA01" \
116- -i " pandas.api.types.is_file_like PR07,SA01" \
117- -i " pandas.api.types.is_float PR01,SA01" \
118- -i " pandas.api.types.is_float_dtype SA01" \
119- -i " pandas.api.types.is_hashable PR01,RT03,SA01" \
120- -i " pandas.api.types.is_int64_dtype SA01" \
12188 -i " pandas.api.types.is_integer PR01,SA01" \
122- -i " pandas.api.types.is_interval_dtype SA01" \
12389 -i " pandas.api.types.is_iterator PR07,SA01" \
124- -i " pandas.api.types.is_list_like SA01" \
125- -i " pandas.api.types.is_named_tuple PR07,SA01" \
126- -i " pandas.api.types.is_object_dtype SA01" \
127- -i " pandas.api.types.is_re PR07,SA01" \
12890 -i " pandas.api.types.is_re_compilable PR07,SA01" \
12991 -i " pandas.api.types.pandas_dtype PR07,RT03,SA01" \
13092 -i " pandas.arrays.ArrowExtensionArray PR07,SA01" \
131- -i " pandas.arrays.BooleanArray SA01" \
132- -i " pandas.arrays.DatetimeArray SA01" \
13393 -i " pandas.arrays.IntegerArray SA01" \
13494 -i " pandas.arrays.IntervalArray.left SA01" \
13595 -i " pandas.arrays.IntervalArray.length SA01" \
136- -i " pandas.arrays.IntervalArray.mid SA01" \
13796 -i " pandas.arrays.IntervalArray.right SA01" \
13897 -i " pandas.arrays.NumpyExtensionArray SA01" \
13998 -i " pandas.arrays.SparseArray PR07,SA01" \
14099 -i " pandas.arrays.TimedeltaArray PR07,SA01" \
141100 -i " pandas.core.groupby.DataFrameGroupBy.__iter__ RT03,SA01" \
142- -i " pandas.core.groupby.DataFrameGroupBy.agg RT03" \
143- -i " pandas.core.groupby.DataFrameGroupBy.aggregate RT03" \
144101 -i " pandas.core.groupby.DataFrameGroupBy.boxplot PR07,RT03,SA01" \
145102 -i " pandas.core.groupby.DataFrameGroupBy.get_group RT03,SA01" \
146103 -i " pandas.core.groupby.DataFrameGroupBy.groups SA01" \
147- -i " pandas.core.groupby.DataFrameGroupBy.hist RT03" \
148104 -i " pandas.core.groupby.DataFrameGroupBy.indices SA01" \
149105 -i " pandas.core.groupby.DataFrameGroupBy.nth PR02" \
150106 -i " pandas.core.groupby.DataFrameGroupBy.nunique SA01" \
151107 -i " pandas.core.groupby.DataFrameGroupBy.ohlc SA01" \
152108 -i " pandas.core.groupby.DataFrameGroupBy.plot PR02" \
153109 -i " pandas.core.groupby.DataFrameGroupBy.sem SA01" \
154110 -i " pandas.core.groupby.SeriesGroupBy.__iter__ RT03,SA01" \
155- -i " pandas.core.groupby.SeriesGroupBy.agg RT03" \
156- -i " pandas.core.groupby.SeriesGroupBy.aggregate RT03" \
157111 -i " pandas.core.groupby.SeriesGroupBy.get_group RT03,SA01" \
158112 -i " pandas.core.groupby.SeriesGroupBy.groups SA01" \
159113 -i " pandas.core.groupby.SeriesGroupBy.indices SA01" \
@@ -164,7 +118,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
164118 -i " pandas.core.groupby.SeriesGroupBy.plot PR02" \
165119 -i " pandas.core.groupby.SeriesGroupBy.sem SA01" \
166120 -i " pandas.core.resample.Resampler.__iter__ RT03,SA01" \
167- -i " pandas.core.resample.Resampler.ffill RT03" \
168121 -i " pandas.core.resample.Resampler.get_group RT03,SA01" \
169122 -i " pandas.core.resample.Resampler.groups SA01" \
170123 -i " pandas.core.resample.Resampler.indices SA01" \
@@ -179,45 +132,32 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
179132 -i " pandas.core.resample.Resampler.sum SA01" \
180133 -i " pandas.core.resample.Resampler.transform PR01,RT03,SA01" \
181134 -i " pandas.core.resample.Resampler.var SA01" \
182- -i " pandas.date_range RT03" \
183135 -i " pandas.errors.AttributeConflictWarning SA01" \
184136 -i " pandas.errors.CSSWarning SA01" \
185- -i " pandas.errors.CategoricalConversionWarning SA01" \
186137 -i " pandas.errors.ChainedAssignmentError SA01" \
187- -i " pandas.errors.ClosedFileError SA01" \
188138 -i " pandas.errors.DataError SA01" \
189139 -i " pandas.errors.DuplicateLabelError SA01" \
190- -i " pandas.errors.EmptyDataError SA01" \
191140 -i " pandas.errors.IntCastingNaNError SA01" \
192141 -i " pandas.errors.InvalidIndexError SA01" \
193- -i " pandas.errors.InvalidVersion SA01" \
194142 -i " pandas.errors.NullFrequencyError SA01" \
195143 -i " pandas.errors.NumExprClobberingError SA01" \
196144 -i " pandas.errors.NumbaUtilError SA01" \
197145 -i " pandas.errors.OptionError SA01" \
198- -i " pandas.errors.OutOfBoundsDatetime SA01" \
199146 -i " pandas.errors.OutOfBoundsTimedelta SA01" \
200147 -i " pandas.errors.PerformanceWarning SA01" \
201148 -i " pandas.errors.PossibleDataLossError SA01" \
202149 -i " pandas.errors.PossiblePrecisionLoss SA01" \
203- -i " pandas.errors.SpecificationError SA01" \
204150 -i " pandas.errors.UndefinedVariableError PR01,SA01" \
205151 -i " pandas.errors.UnsortedIndexError SA01" \
206152 -i " pandas.errors.UnsupportedFunctionCall SA01" \
207153 -i " pandas.errors.ValueLabelTypeMismatch SA01" \
208154 -i " pandas.infer_freq SA01" \
209155 -i " pandas.io.json.build_table_schema PR07,RT03,SA01" \
210- -i " pandas.io.stata.StataReader.data_label SA01" \
211- -i " pandas.io.stata.StataReader.value_labels RT03,SA01" \
212- -i " pandas.io.stata.StataReader.variable_labels RT03,SA01" \
213156 -i " pandas.io.stata.StataWriter.write_file SA01" \
214157 -i " pandas.json_normalize RT03,SA01" \
215- -i " pandas.period_range RT03,SA01" \
216158 -i " pandas.plotting.andrews_curves RT03,SA01" \
217- -i " pandas.plotting.lag_plot RT03,SA01" \
218159 -i " pandas.plotting.scatter_matrix PR07,SA01" \
219160 -i " pandas.set_eng_float_format RT03,SA01" \
220- -i " pandas.testing.assert_extension_array_equal SA01" \
221161 -i " pandas.tseries.offsets.BDay PR02,SA01" \
222162 -i " pandas.tseries.offsets.BQuarterBegin.is_on_offset GL08" \
223163 -i " pandas.tseries.offsets.BQuarterBegin.n GL08" \
@@ -369,7 +309,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
369309 -i " pandas.tseries.offsets.SemiMonthBegin.n GL08" \
370310 -i " pandas.tseries.offsets.SemiMonthBegin.normalize GL08" \
371311 -i " pandas.tseries.offsets.SemiMonthBegin.rule_code GL08" \
372- -i " pandas.tseries.offsets.SemiMonthEnd SA01" \
373312 -i " pandas.tseries.offsets.SemiMonthEnd.day_of_month GL08" \
374313 -i " pandas.tseries.offsets.SemiMonthEnd.is_on_offset GL08" \
375314 -i " pandas.tseries.offsets.SemiMonthEnd.n GL08" \
@@ -383,7 +322,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
383322 -i " pandas.tseries.offsets.Week.n GL08" \
384323 -i " pandas.tseries.offsets.Week.normalize GL08" \
385324 -i " pandas.tseries.offsets.Week.weekday GL08" \
386- -i " pandas.tseries.offsets.WeekOfMonth SA01" \
387325 -i " pandas.tseries.offsets.WeekOfMonth.is_on_offset GL08" \
388326 -i " pandas.tseries.offsets.WeekOfMonth.n GL08" \
389327 -i " pandas.tseries.offsets.WeekOfMonth.normalize GL08" \
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