@@ -21,23 +21,6 @@ BASE_DIR="$(dirname $0)/.."
2121RET=0
2222CHECK=$1
2323
24- function invgrep {
25- # grep with inverse exist status and formatting for azure-pipelines
26- #
27- # This function works exactly as grep, but with opposite exit status:
28- # - 0 (success) when no patterns are found
29- # - 1 (fail) when the patterns are found
30- #
31- # This is useful for the CI, as we want to fail if one of the patterns
32- # that we want to avoid is found by grep.
33- grep -n " $@ " | sed " s/^/$INVGREP_PREPEND /" | sed " s/$/$INVGREP_APPEND /" ; EXIT_STATUS=${PIPESTATUS[0]}
34- return $(( ! $EXIT_STATUS ))
35- }
36-
37- if [[ " $GITHUB_ACTIONS " == " true" ]]; then
38- INVGREP_PREPEND=" ##[error]"
39- fi
40-
4124# ## CODE ###
4225if [[ -z " $CHECK " || " $CHECK " == " code" ]]; then
4326
@@ -105,41 +88,7 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
10588 pandas.errors.UnsupportedFunctionCall \
10689 pandas.test \
10790 pandas.NaT \
108- pandas.arrays.TimedeltaArray \
109- pandas.Period.asfreq \
110- pandas.Period.now \
111- pandas.arrays.PeriodArray \
112- pandas.CategoricalDtype.categories \
113- pandas.CategoricalDtype.ordered \
114- pandas.Categorical.dtype \
115- pandas.Categorical.categories \
116- pandas.Categorical.ordered \
117- pandas.Categorical.codes \
118- pandas.Categorical.__array__ \
119- pandas.SparseDtype \
120- pandas.DatetimeTZDtype.unit \
121- pandas.DatetimeTZDtype.tz \
122- pandas.PeriodDtype.freq \
123- pandas.IntervalDtype.subtype \
124- pandas_dtype \
125- pandas.api.types.is_bool \
126- pandas.api.types.is_complex \
127- pandas.api.types.is_float \
128- pandas.api.types.is_integer \
129- pandas.api.types.pandas_dtype \
130- pandas.read_clipboard \
131- pandas.ExcelFile \
132- pandas.ExcelFile.parse \
133- pandas.DataFrame.to_html \
13491 pandas.io.formats.style.Styler.to_html \
135- pandas.HDFStore.put \
136- pandas.HDFStore.append \
137- pandas.HDFStore.get \
138- pandas.HDFStore.select \
139- pandas.HDFStore.info \
140- pandas.HDFStore.keys \
141- pandas.HDFStore.groups \
142- pandas.HDFStore.walk \
14392 pandas.read_feather \
14493 pandas.DataFrame.to_feather \
14594 pandas.read_parquet \
@@ -152,30 +101,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
152101 pandas.io.stata.StataReader.value_labels \
153102 pandas.io.stata.StataReader.variable_labels \
154103 pandas.io.stata.StataWriter.write_file \
155- pandas.core.resample.Resampler.__iter__ \
156- pandas.core.resample.Resampler.groups \
157- pandas.core.resample.Resampler.indices \
158- pandas.core.resample.Resampler.get_group \
159- pandas.core.resample.Resampler.ffill \
160- pandas.core.resample.Resampler.asfreq \
161- pandas.core.resample.Resampler.count \
162- pandas.core.resample.Resampler.nunique \
163- pandas.core.resample.Resampler.max \
164- pandas.core.resample.Resampler.mean \
165- pandas.core.resample.Resampler.median \
166- pandas.core.resample.Resampler.min \
167- pandas.core.resample.Resampler.ohlc \
168- pandas.core.resample.Resampler.prod \
169- pandas.core.resample.Resampler.size \
170- pandas.core.resample.Resampler.sem \
171- pandas.core.resample.Resampler.std \
172- pandas.core.resample.Resampler.sum \
173- pandas.core.resample.Resampler.var \
174- pandas.core.resample.Resampler.quantile \
175- pandas.describe_option \
176- pandas.reset_option \
177- pandas.get_option \
178- pandas.set_option \
179104 pandas.plotting.deregister_matplotlib_converters \
180105 pandas.plotting.plot_params \
181106 pandas.plotting.register_matplotlib_converters \
@@ -184,32 +109,7 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
184109 pandas.util.hash_pandas_object \
185110 pandas_object \
186111 pandas.api.interchange.from_dataframe \
187- pandas.Index.asof_locs \
188- pandas.Index.get_slice_bound \
189- pandas.RangeIndex \
190- pandas.RangeIndex.start \
191- pandas.RangeIndex.stop \
192- pandas.RangeIndex.step \
193- pandas.RangeIndex.from_range \
194- pandas.CategoricalIndex.codes \
195- pandas.CategoricalIndex.categories \
196- pandas.CategoricalIndex.ordered \
197- pandas.CategoricalIndex.reorder_categories \
198- pandas.CategoricalIndex.set_categories \
199- pandas.CategoricalIndex.as_ordered \
200- pandas.CategoricalIndex.as_unordered \
201- pandas.CategoricalIndex.equals \
202- pandas.IntervalIndex.values \
203- pandas.IntervalIndex.to_tuples \
204- pandas.MultiIndex.dtypes \
205- pandas.MultiIndex.drop \
206112 pandas.DatetimeIndex.snap \
207- pandas.DatetimeIndex.as_unit \
208- pandas.DatetimeIndex.to_pydatetime \
209- pandas.DatetimeIndex.to_series \
210- pandas.DatetimeIndex.mean \
211- pandas.DatetimeIndex.std \
212- pandas.TimedeltaIndex \
213113 pandas.core.window.rolling.Rolling.max \
214114 pandas.core.window.rolling.Rolling.cov \
215115 pandas.core.window.rolling.Rolling.skew \
@@ -270,6 +170,7 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
270170 pandas.api.extensions.ExtensionArray.factorize \
271171 pandas.api.extensions.ExtensionArray.fillna \
272172 pandas.api.extensions.ExtensionArray.insert \
173+ pandas.api.extensions.ExtensionArray.interpolate \
273174 pandas.api.extensions.ExtensionArray.isin \
274175 pandas.api.extensions.ExtensionArray.isna \
275176 pandas.api.extensions.ExtensionArray.ravel \
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