@@ -81,83 +81,58 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
8181 -i " pandas.Timedelta.resolution PR02" \
8282 -i " pandas.Timestamp.max PR02" \
8383 -i " pandas.Timestamp.min PR02" \
84- -i " pandas.Timestamp.nanosecond GL08" \
8584 -i " pandas.Timestamp.resolution PR02" \
8685 -i " pandas.Timestamp.tzinfo GL08" \
87- -i " pandas.Timestamp.year GL08" \
88- -i " pandas.api.types.is_integer PR01,SA01" \
89- -i " pandas.api.types.is_iterator PR07,SA01" \
9086 -i " pandas.api.types.is_re_compilable PR07,SA01" \
91- -i " pandas.api.types.pandas_dtype PR07,RT03,SA01" \
9287 -i " pandas.arrays.ArrowExtensionArray PR07,SA01" \
9388 -i " pandas.arrays.IntegerArray SA01" \
94- -i " pandas.arrays.IntervalArray.left SA01" \
9589 -i " pandas.arrays.IntervalArray.length SA01" \
96- -i " pandas.arrays.IntervalArray.right SA01" \
9790 -i " pandas.arrays.NumpyExtensionArray SA01" \
98- -i " pandas.arrays.SparseArray PR07,SA01" \
9991 -i " pandas.arrays.TimedeltaArray PR07,SA01" \
100- -i " pandas.core.groupby.DataFrameGroupBy.__iter__ RT03,SA01" \
10192 -i " pandas.core.groupby.DataFrameGroupBy.boxplot PR07,RT03,SA01" \
10293 -i " pandas.core.groupby.DataFrameGroupBy.get_group RT03,SA01" \
103- -i " pandas.core.groupby.DataFrameGroupBy.groups SA01" \
10494 -i " pandas.core.groupby.DataFrameGroupBy.indices SA01" \
10595 -i " pandas.core.groupby.DataFrameGroupBy.nth PR02" \
10696 -i " pandas.core.groupby.DataFrameGroupBy.nunique SA01" \
107- -i " pandas.core.groupby.DataFrameGroupBy.ohlc SA01" \
10897 -i " pandas.core.groupby.DataFrameGroupBy.plot PR02" \
10998 -i " pandas.core.groupby.DataFrameGroupBy.sem SA01" \
110- -i " pandas.core.groupby.SeriesGroupBy.__iter__ RT03,SA01" \
11199 -i " pandas.core.groupby.SeriesGroupBy.get_group RT03,SA01" \
112- -i " pandas.core.groupby.SeriesGroupBy.groups SA01" \
113100 -i " pandas.core.groupby.SeriesGroupBy.indices SA01" \
114101 -i " pandas.core.groupby.SeriesGroupBy.is_monotonic_decreasing SA01" \
115102 -i " pandas.core.groupby.SeriesGroupBy.is_monotonic_increasing SA01" \
116103 -i " pandas.core.groupby.SeriesGroupBy.nth PR02" \
117- -i " pandas.core.groupby.SeriesGroupBy.ohlc SA01" \
118104 -i " pandas.core.groupby.SeriesGroupBy.plot PR02" \
119105 -i " pandas.core.groupby.SeriesGroupBy.sem SA01" \
120- -i " pandas.core.resample.Resampler.__iter__ RT03,SA01" \
121106 -i " pandas.core.resample.Resampler.get_group RT03,SA01" \
122- -i " pandas.core.resample.Resampler.groups SA01" \
123107 -i " pandas.core.resample.Resampler.indices SA01" \
124108 -i " pandas.core.resample.Resampler.max PR01,RT03,SA01" \
125109 -i " pandas.core.resample.Resampler.mean SA01" \
126110 -i " pandas.core.resample.Resampler.min PR01,RT03,SA01" \
127- -i " pandas.core.resample.Resampler.ohlc SA01" \
128111 -i " pandas.core.resample.Resampler.prod SA01" \
129112 -i " pandas.core.resample.Resampler.quantile PR01,PR07" \
130113 -i " pandas.core.resample.Resampler.sem SA01" \
131114 -i " pandas.core.resample.Resampler.std SA01" \
132- -i " pandas.core.resample.Resampler.sum SA01" \
133115 -i " pandas.core.resample.Resampler.transform PR01,RT03,SA01" \
134116 -i " pandas.core.resample.Resampler.var SA01" \
135117 -i " pandas.errors.AttributeConflictWarning SA01" \
136- -i " pandas.errors.CSSWarning SA01" \
137118 -i " pandas.errors.ChainedAssignmentError SA01" \
138- -i " pandas.errors.DataError SA01" \
139119 -i " pandas.errors.DuplicateLabelError SA01" \
140120 -i " pandas.errors.IntCastingNaNError SA01" \
141121 -i " pandas.errors.InvalidIndexError SA01" \
142122 -i " pandas.errors.NullFrequencyError SA01" \
143123 -i " pandas.errors.NumExprClobberingError SA01" \
144124 -i " pandas.errors.NumbaUtilError SA01" \
145- -i " pandas.errors.OptionError SA01" \
146125 -i " pandas.errors.OutOfBoundsTimedelta SA01" \
147126 -i " pandas.errors.PerformanceWarning SA01" \
148127 -i " pandas.errors.PossibleDataLossError SA01" \
149- -i " pandas.errors.PossiblePrecisionLoss SA01" \
150128 -i " pandas.errors.UndefinedVariableError PR01,SA01" \
151129 -i " pandas.errors.UnsortedIndexError SA01" \
152- -i " pandas.errors.UnsupportedFunctionCall SA01" \
153130 -i " pandas.errors.ValueLabelTypeMismatch SA01" \
154131 -i " pandas.infer_freq SA01" \
155132 -i " pandas.io.json.build_table_schema PR07,RT03,SA01" \
156133 -i " pandas.io.stata.StataWriter.write_file SA01" \
157- -i " pandas.json_normalize RT03,SA01" \
158134 -i " pandas.plotting.andrews_curves RT03,SA01" \
159135 -i " pandas.plotting.scatter_matrix PR07,SA01" \
160- -i " pandas.set_eng_float_format RT03,SA01" \
161136 -i " pandas.tseries.offsets.BDay PR02,SA01" \
162137 -i " pandas.tseries.offsets.BQuarterBegin.is_on_offset GL08" \
163138 -i " pandas.tseries.offsets.BQuarterBegin.n GL08" \
@@ -303,7 +278,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
303278 -i " pandas.tseries.offsets.Second.is_on_offset GL08" \
304279 -i " pandas.tseries.offsets.Second.n GL08" \
305280 -i " pandas.tseries.offsets.Second.normalize GL08" \
306- -i " pandas.tseries.offsets.SemiMonthBegin SA01" \
307281 -i " pandas.tseries.offsets.SemiMonthBegin.day_of_month GL08" \
308282 -i " pandas.tseries.offsets.SemiMonthBegin.is_on_offset GL08" \
309283 -i " pandas.tseries.offsets.SemiMonthBegin.n GL08" \
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