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‎.circleci/config.yml

Lines changed: 2 additions & 2 deletions
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@@ -32,7 +32,7 @@ jobs:
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if pip show pandas 1>/dev/null; then
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pip uninstall -y pandas
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fi
35-
python -m pip install --no-build-isolation -ve . --config-settings=setup-args="--werror"
35+
python -m pip install --no-build-isolation -ve . -Csetup-args="--werror"
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PATH=$HOME/miniconda3/envs/pandas-dev/bin:$HOME/miniconda3/condabin:$PATH
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sudo apt-get update && sudo apt-get install -y libegl1 libopengl0
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ci/run_tests.sh
@@ -57,7 +57,7 @@ jobs:
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. ~/virtualenvs/pandas-dev/bin/activate
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python -m pip install --no-cache-dir -U pip wheel setuptools meson-python==0.13.1 meson[ninja]==1.2.1
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python -m pip install --no-cache-dir versioneer[toml] cython numpy python-dateutil pytest>=7.3.2 pytest-xdist>=3.4.0 hypothesis>=6.84.0
60-
python -m pip install --no-cache-dir --no-build-isolation -e . --config-settings=setup-args="--werror"
60+
python -m pip install --no-cache-dir --no-build-isolation -e . -Csetup-args="--werror"
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python -m pip list --no-cache-dir
6262
export PANDAS_CI=1
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python -m pytest -m 'not slow and not network and not clipboard and not single_cpu' pandas --junitxml=test-data.xml

‎.github/actions/build_pandas/action.yml

Lines changed: 2 additions & 2 deletions
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@@ -33,9 +33,9 @@ runs:
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run: |
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if [[ ${{ inputs.editable }} == "true" ]]; then
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pip install -e . --no-build-isolation -v --no-deps \
36-
--config-settings=setup-args="--werror"
36+
-Csetup-args="--werror"
3737
else
3838
pip install . --no-build-isolation -v --no-deps \
39-
--config-settings=setup-args="--werror"
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-Csetup-args="--werror"
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fi
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shell: bash -el {0}

‎.github/workflows/unit-tests.yml

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@@ -235,9 +235,9 @@ jobs:
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/opt/python/cp311-cp311/bin/python -m venv ~/virtualenvs/pandas-dev
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. ~/virtualenvs/pandas-dev/bin/activate
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python -m pip install --no-cache-dir -U pip wheel setuptools meson[ninja]==1.2.1 meson-python==0.13.1
238-
python -m pip install numpy --config-settings=setup-args="-Dallow-noblas=true"
238+
python -m pip install numpy -Csetup-args="-Dallow-noblas=true"
239239
python -m pip install --no-cache-dir versioneer[toml] cython python-dateutil pytest>=7.3.2 pytest-xdist>=3.4.0 hypothesis>=6.84.0
240-
python -m pip install --no-cache-dir --no-build-isolation -e . --config-settings=setup-args="--werror"
240+
python -m pip install --no-cache-dir --no-build-isolation -e . -Csetup-args="--werror"
241241
python -m pip list --no-cache-dir
242242
export PANDAS_CI=1
243243
python -m pytest -m 'not slow and not network and not clipboard and not single_cpu' pandas --junitxml=test-data.xml
@@ -275,7 +275,7 @@ jobs:
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. ~/virtualenvs/pandas-dev/bin/activate
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python -m pip install --no-cache-dir -U pip wheel setuptools meson-python==0.13.1 meson[ninja]==1.2.1
277277
python -m pip install --no-cache-dir versioneer[toml] cython numpy python-dateutil pytest>=7.3.2 pytest-xdist>=3.4.0 hypothesis>=6.84.0
278-
python -m pip install --no-cache-dir --no-build-isolation -e . --config-settings=setup-args="--werror"
278+
python -m pip install --no-cache-dir --no-build-isolation -e . -Csetup-args="--werror"
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python -m pip list --no-cache-dir
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281281
- name: Run Tests
@@ -349,7 +349,7 @@ jobs:
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python -m pip install --pre --extra-index-url https://pypi.anaconda.org/scientific-python-nightly-wheels/simple numpy
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python -m pip install versioneer[toml]
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python -m pip install python-dateutil tzdata cython hypothesis>=6.84.0 pytest>=7.3.2 pytest-xdist>=3.4.0 pytest-cov
352-
python -m pip install -ve . --no-build-isolation --no-index --no-deps --config-settings=setup-args="--werror"
352+
python -m pip install -ve . --no-build-isolation --no-index --no-deps -Csetup-args="--werror"
353353
python -m pip list
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355355
- name: Run Tests
@@ -392,7 +392,7 @@ jobs:
392392
python -m pip install --pre --extra-index-url https://pypi.anaconda.org/scientific-python-nightly-wheels/simple numpy cython
393393
python -m pip install versioneer[toml]
394394
python -m pip install python-dateutil pytz tzdata hypothesis>=6.84.0 pytest>=7.3.2 pytest-xdist>=3.4.0 pytest-cov
395-
python -m pip install -ve . --no-build-isolation --no-index --no-deps --config-settings=setup-args="--werror"
395+
python -m pip install -ve . --no-build-isolation --no-index --no-deps -Csetup-args="--werror"
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python -m pip list
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- name: Run Tests

‎.gitpod.yml

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@@ -13,10 +13,10 @@ tasks:
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mkdir -p .vscode
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cp gitpod/settings.json .vscode/settings.json
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git fetch --tags
16-
python -m pip install -ve . --no-build-isolation --config-settings editable-verbose=true
16+
python -m pip install -ve . --no-build-isolation -Ceditable-verbose=true
1717
pre-commit install --install-hooks
1818
command: |
19-
python -m pip install -ve . --no-build-isolation --config-settings editable-verbose=true
19+
python -m pip install -ve . --no-build-isolation -Ceditable-verbose=true
2020
echo "✨ Pre-build complete! You can close this terminal ✨ "
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# --------------------------------------------------------

‎README.md

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@@ -138,7 +138,7 @@ or for installing in [development mode](https://pip.pypa.io/en/latest/cli/pip_in
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140140
```sh
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python -m pip install -ve . --no-build-isolation --config-settings=editable-verbose=true
141+
python -m pip install -ve . --no-build-isolation -Ceditable-verbose=true
142142
```
143143

144144
See the full instructions for [installing from source](https://pandas.pydata.org/docs/dev/development/contributing_environment.html).

‎asv_bench/benchmarks/indexing_engines.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -87,7 +87,7 @@ def setup(self, engine_and_dtype, index_type, unique, N):
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arr = np.array([1, 2, 3], dtype=dtype).repeat(N)
8888

8989
self.data = engine(arr)
90-
# code belows avoids populating the mapping etc. while timing.
90+
# code below avoids populating the mapping etc. while timing.
9191
self.data.get_loc(2)
9292

9393
self.key_middle = arr[len(arr) // 2]
@@ -140,7 +140,7 @@ def setup(self, engine_and_dtype, index_type, unique, N):
140140
mask[-1] = True
141141

142142
self.data = engine(BaseMaskedArray(arr, mask))
143-
# code belows avoids populating the mapping etc. while timing.
143+
# code below avoids populating the mapping etc. while timing.
144144
self.data.get_loc(2)
145145

146146
self.key_middle = arr[len(arr) // 2]
@@ -169,7 +169,7 @@ def setup(self, index_type):
169169
}[index_type]
170170

171171
self.data = libindex.ObjectEngine(arr)
172-
# code belows avoids populating the mapping etc. while timing.
172+
# code below avoids populating the mapping etc. while timing.
173173
self.data.get_loc("b")
174174

175175
def time_get_loc(self, index_type):

‎ci/code_checks.sh

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-i ES01 `# For now it is ok if docstrings are missing the extended summary` \
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-i "pandas.Series.dt PR01" `# Accessors are implemented as classes, but we do not document the Parameters section` \
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-i "pandas.MultiIndex.reorder_levels RT03,SA01" \
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-i "pandas.MultiIndex.to_frame RT03" \
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-i "pandas.NA SA01" \
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-i "pandas.NaT SA01" \
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-i "pandas.Period.freq GL08" \
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-i "pandas.Period.freqstr SA01" \
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-i "pandas.Period.ordinal GL08" \
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-i "pandas.Period.strftime PR01,SA01" \
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-i "pandas.Period.to_timestamp SA01" \
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-i "pandas.PeriodDtype SA01" \
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-i "pandas.PeriodDtype.freq SA01" \
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-i "pandas.PeriodIndex.day SA01" \
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-i "pandas.PeriodIndex.day_of_week SA01" \
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-i "pandas.PeriodIndex.day_of_year SA01" \
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-i "pandas.PeriodIndex.dayofweek SA01" \
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-i "pandas.PeriodIndex.dayofyear SA01" \
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-i "pandas.PeriodIndex.days_in_month SA01" \
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-i "pandas.PeriodIndex.daysinmonth SA01" \
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-i "pandas.PeriodIndex.from_fields PR07,SA01" \
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-i "pandas.PeriodIndex.from_ordinals SA01" \
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-i "pandas.PeriodIndex.hour SA01" \
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-i "pandas.PeriodIndex.is_leap_year SA01" \
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-i "pandas.PeriodIndex.minute SA01" \
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-i "pandas.PeriodIndex.month SA01" \
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-i "pandas.PeriodIndex.quarter SA01" \
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-i "pandas.PeriodIndex.qyear GL08" \
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-i "pandas.PeriodIndex.second SA01" \
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-i "pandas.PeriodIndex.to_timestamp RT03,SA01" \
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-i "pandas.PeriodIndex.week SA01" \
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-i "pandas.PeriodIndex.weekday SA01" \
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-i "pandas.PeriodIndex.weekofyear SA01" \
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-i "pandas.PeriodIndex.year SA01" \
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-i "pandas.RangeIndex PR07" \
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-i "pandas.RangeIndex.from_range PR01,SA01" \
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-i "pandas.RangeIndex.start SA01" \
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-i "pandas.RangeIndex.step SA01" \
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-i "pandas.Series.dt.day_name PR01,PR02" \
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-i "pandas.Series.dt.floor PR01,PR02" \
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-i "pandas.Series.dt.freq GL08" \
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-i "pandas.Series.dt.microseconds SA01" \
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-i "pandas.Series.dt.month_name PR01,PR02" \
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-i "pandas.Series.dt.normalize PR01" \
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-i "pandas.Series.dt.qyear GL08" \
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-i "pandas.Series.dt.round PR01,PR02" \
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-i "pandas.Series.dt.strftime PR01,PR02" \
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-i "pandas.Series.dt.to_period PR01,PR02" \
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-i "pandas.Series.dt.total_seconds PR01" \
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-i "pandas.Series.dt.tz_convert PR01,PR02" \
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-i "pandas.Series.dt.tz_localize PR01,PR02" \
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-i "pandas.Series.dt.unit GL08" \
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-i "pandas.Series.gt SA01" \
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-i "pandas.Series.list.__getitem__ SA01" \
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-i "pandas.Series.list.flatten SA01" \
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-i "pandas.Series.list.len SA01" \
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-i "pandas.Series.lt SA01" \
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-i "pandas.Series.ne SA01" \
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-i "pandas.Series.pad PR01,SA01" \
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-i "pandas.Series.prod RT03" \
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-i "pandas.Series.product RT03" \
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-i "pandas.Series.reorder_levels RT03,SA01" \
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-i "pandas.Series.sem PR01,RT03,SA01" \
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-i "pandas.Series.sparse PR01,SA01" \
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-i "pandas.Series.sparse.density SA01" \
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-i "pandas.Series.sparse.fill_value SA01" \
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-i "pandas.Series.sparse.from_coo PR07,SA01" \
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-i "pandas.Series.sparse.npoints SA01" \
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-i "pandas.Series.sparse.sp_values SA01" \
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-i "pandas.Series.sparse.to_coo PR07,RT03,SA01" \
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-i "pandas.Series.std PR01,RT03,SA01" \
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-i "pandas.Series.str.match RT03" \
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-i "pandas.Series.str.normalize RT03,SA01" \
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-i "pandas.Series.str.replace SA01" \
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-i "pandas.Series.str.wrap RT03,SA01" \
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-i "pandas.Series.str.zfill RT03" \
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-i "pandas.Series.struct.dtypes SA01" \
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-i "pandas.Timedelta.to_numpy PR01" \
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-i "pandas.Timedelta.total_seconds SA01" \
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-i "pandas.Timedelta.view SA01" \
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-i "pandas.TimedeltaIndex.as_unit RT03,SA01" \
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-i "pandas.TimedeltaIndex.components SA01" \
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-i "pandas.TimedeltaIndex.microseconds SA01" \
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-i "pandas.TimedeltaIndex.to_pytimedelta RT03,SA01" \
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-i "pandas.api.extensions.ExtensionArray._pad_or_backfill PR01,RT03,SA01" \
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-i "pandas.api.extensions.ExtensionArray._reduce RT03,SA01" \
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-i "pandas.api.extensions.ExtensionArray._values_for_factorize SA01" \
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-i "pandas.api.extensions.ExtensionArray.astype SA01" \
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-i "pandas.api.extensions.ExtensionArray.dropna RT03,SA01" \
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-i "pandas.api.extensions.ExtensionArray.dtype SA01" \
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-i "pandas.api.extensions.ExtensionArray.duplicated RT03,SA01" \
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-i "pandas.api.extensions.ExtensionArray.fillna SA01" \
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-i "pandas.api.extensions.ExtensionArray.insert PR07,RT03,SA01" \
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-i "pandas.api.extensions.ExtensionArray.interpolate PR01,SA01" \
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-i "pandas.api.extensions.ExtensionArray.isin PR07,RT03,SA01" \
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-i "pandas.api.extensions.ExtensionArray.tolist RT03,SA01" \
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-i "pandas.api.extensions.ExtensionArray.unique RT03,SA01" \
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-i "pandas.api.extensions.ExtensionArray.view SA01" \
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-i "pandas.api.interchange.from_dataframe RT03,SA01" \
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-i "pandas.api.types.is_bool PR01,SA01" \
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-i "pandas.api.types.is_categorical_dtype SA01" \
209124
-i "pandas.api.types.is_complex PR01,SA01" \
@@ -255,7 +170,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
255170
-i "pandas.core.groupby.DataFrameGroupBy.nunique SA01" \
256171
-i "pandas.core.groupby.DataFrameGroupBy.ohlc SA01" \
257172
-i "pandas.core.groupby.DataFrameGroupBy.plot PR02" \
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-i "pandas.core.groupby.DataFrameGroupBy.prod SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.sem SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.sum SA01" \
261175
-i "pandas.core.groupby.SeriesGroupBy.__iter__ RT03,SA01" \
@@ -272,7 +186,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
272186
-i "pandas.core.groupby.SeriesGroupBy.nth PR02" \
273187
-i "pandas.core.groupby.SeriesGroupBy.ohlc SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.plot PR02" \
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-i "pandas.core.groupby.SeriesGroupBy.prod SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.sem SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.sum SA01" \
278191
-i "pandas.core.resample.Resampler.__iter__ RT03,SA01" \
@@ -291,13 +204,7 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
291204
-i "pandas.core.resample.Resampler.sum SA01" \
292205
-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.core.window.expanding.Expanding.corr PR01" \
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-i "pandas.core.window.expanding.Expanding.count PR01" \
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-i "pandas.core.window.rolling.Rolling.max PR01" \
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-i "pandas.core.window.rolling.Window.std PR01" \
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-i "pandas.core.window.rolling.Window.var PR01" \
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-i "pandas.date_range RT03" \
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-i "pandas.errors.AbstractMethodError PR01,SA01" \
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-i "pandas.errors.AttributeConflictWarning SA01" \
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-i "pandas.errors.CSSWarning SA01" \
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@@ -325,34 +232,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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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.formats.style.Styler.map_index RT03" \
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-i "pandas.io.formats.style.Styler.set_uuid PR07,RT03,SA01" \
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-i "pandas.io.formats.style.Styler.text_gradient RT03" \
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-i "pandas.io.formats.style.Styler.to_excel PR01" \
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-i "pandas.io.formats.style.Styler.to_string SA01" \
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-i "pandas.io.stata.StataReader.data_label SA01" \
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-i "pandas.io.stata.StataReader.value_labels RT03,SA01" \

‎doc/source/development/contributing_codebase.rst

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@@ -605,7 +605,7 @@ The ``temp_file`` pytest fixture creates a temporary file :py:class:`Pathlib` ob
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pd.DataFrame([1]).to_csv(str(temp_file))
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Please reference `pytest's documentation <https://docs.pytest.org/en/latest/how-to/tmp_path.html#the-default-base-temporary-directory>`_
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for the file retension policy.
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for the file retention policy.
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Testing involving network connectivity
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^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

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