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jorisvandenbosschejorisvandenbossche
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Merge remote-tracking branch 'upstream/main' into string-dtype-predicates-nan-propagation
2 parents e401b55 + 8303af3 commit 3cb1b55

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147 files changed

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‎.circleci/config.yml

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@@ -92,7 +92,13 @@ jobs:
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no_output_timeout: 30m # Sometimes the tests won't generate any output, make sure the job doesn't get killed by that
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command: |
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pip3 install cibuildwheel==2.20.0
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cibuildwheel --output-dir wheelhouse
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if [[ $CIBW_BUILD == cp313t* ]]; then
96+
# TODO: temporarily run 3.13 free threaded builds without build isolation
97+
# since we need pre-release cython
98+
CIBW_BUILD_FRONTEND="pip; args: --no-build-isolation" cibuildwheel --output-dir wheelhouse
99+
else
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cibuildwheel --output-dir wheelhouse
101+
fi
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environment:
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CIBW_BUILD: << parameters.cibw-build >>
@@ -141,6 +147,10 @@ workflows:
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cibw-build: ["cp310-manylinux_aarch64",
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"cp311-manylinux_aarch64",
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"cp312-manylinux_aarch64",
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"cp313-manylinux_aarch64",
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"cp313t-manylinux_aarch64",
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"cp310-musllinux_aarch64",
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"cp311-musllinux_aarch64",
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"cp312-musllinux_aarch64",]
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"cp312-musllinux_aarch64",
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"cp313-musllinux_aarch64",
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"cp313t-musllinux_aarch64"]

‎.github/actions/setup-conda/action.yml

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@@ -9,6 +9,8 @@ runs:
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- name: Install ${{ inputs.environment-file }}
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uses: mamba-org/setup-micromamba@v1
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with:
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# Pinning to avoid 2.0 failures
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micromamba-version: '1.5.10-0'
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environment-file: ${{ inputs.environment-file }}
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environment-name: test
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condarc-file: ci/.condarc

‎.github/workflows/code-checks.yml

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@@ -4,11 +4,11 @@ on:
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push:
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branches:
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- main
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- 2.2.x
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- 2.3.x
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pull_request:
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branches:
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- main
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- 2.2.x
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- 2.3.x
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env:
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ENV_FILE: environment.yml

‎.github/workflows/docbuild-and-upload.yml

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push:
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branches:
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- main
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- 2.2.x
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- 2.3.x
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tags:
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- '*'
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pull_request:
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branches:
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- main
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- 2.2.x
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- 2.3.x
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env:
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ENV_FILE: environment.yml

‎.github/workflows/package-checks.yml

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push:
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branches:
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- main
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- 2.2.x
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- 2.3.x
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pull_request:
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branches:
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- main
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- 2.2.x
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- 2.3.x
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types: [ labeled, opened, synchronize, reopened ]
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permissions:
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fetch-depth: 0
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- name: Set up Python
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uses: mamba-org/setup-micromamba@v1
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uses: mamba-org/setup-micromamba@v2
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with:
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environment-name: recipe-test
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create-args: >-

‎.github/workflows/unit-tests.yml

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push:
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branches:
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- main
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- 2.2.x
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- 2.3.x
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pull_request:
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branches:
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- main
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- 2.2.x
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- 2.3.x
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paths-ignore:
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- "doc/**"
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- "web/**"

‎.github/workflows/wheels.yml

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@@ -102,9 +102,7 @@ jobs:
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python: [["cp310", "3.10"], ["cp311", "3.11"], ["cp312", "3.12"], ["cp313", "3.13"], ["cp313t", "3.13"]]
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include:
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# TODO: Remove this plus installing build deps in cibw_before_build.sh
105-
# and test deps in cibw_before_test.sh after pandas can be built with a released NumPy/Cython
106-
- python: ["cp313", "3.13"]
107-
cibw_build_frontend: 'pip; args: --no-build-isolation'
105+
# after pandas can be built with a released NumPy/Cython
108106
- python: ["cp313t", "3.13"]
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cibw_build_frontend: 'pip; args: --no-build-isolation'
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# Build Pyodide wheels and upload them to Anaconda.org
@@ -167,7 +165,7 @@ jobs:
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CIBW_PLATFORM: ${{ matrix.buildplat[1] == 'pyodide_wasm32' && 'pyodide' || 'auto' }}
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- name: Set up Python
170-
uses: mamba-org/setup-micromamba@v1
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uses: mamba-org/setup-micromamba@v2
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with:
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environment-name: wheel-env
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# Use a fixed Python, since we might have an unreleased Python not
@@ -187,11 +185,9 @@ jobs:
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- name: Test Windows Wheels
188186
if: ${{ matrix.buildplat[1] == 'win_amd64' }}
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shell: pwsh
190-
# TODO: Remove NumPy nightly install when there's a 3.13 wheel on PyPI
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run: |
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$TST_CMD = @"
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python -m pip install hypothesis>=6.84.0 pytest>=7.3.2 pytest-xdist>=3.4.0;
194-
${{ matrix.python[1] == '3.13' && 'python -m pip install -i https://pypi.anaconda.org/scientific-python-nightly-wheels/simple numpy;' }}
195191
python -m pip install `$(Get-Item pandas\wheelhouse\*.whl);
196192
python -c `'import pandas as pd; pd.test(extra_args=[`\"--no-strict-data-files`\", `\"-m not clipboard and not single_cpu and not slow and not network and not db`\"])`';
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"@

‎.pre-commit-config.yaml

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@@ -19,7 +19,7 @@ ci:
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skip: [pyright, mypy]
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- repo: https://github.com/astral-sh/ruff-pre-commit
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rev: v0.5.0
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rev: v0.6.9
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hooks:
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- id: ruff
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args: [--exit-non-zero-on-fix]
@@ -34,7 +34,7 @@ repos:
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- id: ruff-format
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exclude: ^scripts|^pandas/tests/frame/test_query_eval.py
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- repo: https://github.com/jendrikseipp/vulture
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rev: 'v2.11'
37+
rev: 'v2.13'
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- id: vulture
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- id: cython-lint
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- id: double-quote-cython-strings
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- repo: https://github.com/pre-commit/pre-commit-hooks
55-
rev: v4.6.0
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rev: v5.0.0
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- id: check-case-conflict
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- id: check-toml
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types: [text] # overwrite types: [rst]
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types_or: [python, rst]
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- repo: https://github.com/sphinx-contrib/sphinx-lint
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rev: v0.9.1
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rev: v1.0.0
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hooks:
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- id: sphinx-lint
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args: ["--enable", "all", "--disable", "line-too-long"]
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- repo: https://github.com/pre-commit/mirrors-clang-format
98-
rev: v18.1.8
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rev: v19.1.1
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files: ^pandas/_libs/src|^pandas/_libs/include

‎MANIFEST.in

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# Include cibw script in sdist since it's needed for building wheels
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include scripts/cibw_before_build.sh
68-
include scripts/cibw_before_test.sh

‎ci/code_checks.sh

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-i "pandas.Period.freq GL08" \
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-i "pandas.Period.ordinal GL08" \
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-i "pandas.RangeIndex.from_range PR01,SA01" \
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-i "pandas.RangeIndex.step SA01" \
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-i "pandas.Series.cat.add_categories PR01,PR02" \
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-i "pandas.Series.cat.as_ordered PR01" \
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-i "pandas.Series.cat.as_unordered PR01" \
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-i "pandas.Series.cat.remove_categories PR01,PR02" \
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-i "pandas.Series.cat.remove_unused_categories PR01" \
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-i "pandas.Series.cat.rename_categories PR01,PR02" \
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-i "pandas.Series.cat.reorder_categories PR01,PR02" \
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-i "pandas.Series.cat.set_categories PR01,PR02" \
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-i "pandas.Series.dt.as_unit PR01,PR02" \
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-i "pandas.Series.dt.ceil PR01,PR02" \
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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.month_name PR01,PR02" \
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-i "pandas.Series.dt.normalize PR01" \
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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.pad PR01,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.Timedelta.max PR02" \
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-i "pandas.Timedelta.min PR02" \
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-i "pandas.Timedelta.resolution PR02" \
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-i "pandas.Timedelta.to_timedelta64 SA01" \
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-i "pandas.TimedeltaIndex.to_pytimedelta RT03,SA01" \
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-i "pandas.Timestamp.max PR02" \
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-i "pandas.Timestamp.min PR02" \
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-i "pandas.Timestamp.nanosecond GL08" \
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-i "pandas.Timestamp.resolution PR02" \
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-i "pandas.Timestamp.tzinfo GL08" \
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-i "pandas.Timestamp.year GL08" \
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-i "pandas.api.types.is_dict_like PR07,SA01" \
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-i "pandas.api.types.is_file_like PR07,SA01" \
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-i "pandas.api.types.is_float PR01,SA01" \
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-i "pandas.api.types.is_float_dtype SA01" \
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-i "pandas.api.types.is_hashable PR01,RT03,SA01" \
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-i "pandas.api.types.is_int64_dtype SA01" \
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-i "pandas.api.types.is_integer PR01,SA01" \
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-i "pandas.api.types.is_interval_dtype SA01" \
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-i "pandas.api.types.is_iterator PR07,SA01" \
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-i "pandas.api.types.is_list_like SA01" \
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-i "pandas.api.types.is_named_tuple PR07,SA01" \
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-i "pandas.api.types.is_object_dtype SA01" \
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-i "pandas.api.types.is_re PR07,SA01" \
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-i "pandas.api.types.is_re_compilable PR07,SA01" \
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-i "pandas.api.types.pandas_dtype PR07,RT03,SA01" \
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-i "pandas.arrays.ArrowExtensionArray PR07,SA01" \
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-i "pandas.arrays.BooleanArray SA01" \
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-i "pandas.arrays.DatetimeArray SA01" \
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-i "pandas.arrays.IntegerArray SA01" \
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-i "pandas.arrays.IntervalArray.left SA01" \
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-i "pandas.arrays.IntervalArray.length SA01" \
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-i "pandas.arrays.IntervalArray.mid SA01" \
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-i "pandas.arrays.IntervalArray.right SA01" \
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-i "pandas.arrays.NumpyExtensionArray SA01" \
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-i "pandas.arrays.SparseArray PR07,SA01" \
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-i "pandas.arrays.TimedeltaArray PR07,SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.__iter__ RT03,SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.agg RT03" \
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-i "pandas.core.groupby.DataFrameGroupBy.aggregate RT03" \
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-i "pandas.core.groupby.DataFrameGroupBy.boxplot PR07,RT03,SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.get_group RT03,SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.groups SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.hist RT03" \
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-i "pandas.core.groupby.DataFrameGroupBy.indices SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.nth PR02" \
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-i "pandas.core.groupby.DataFrameGroupBy.nunique SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.ohlc SA01" \
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-i "pandas.core.groupby.DataFrameGroupBy.plot PR02" \
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-i "pandas.core.groupby.DataFrameGroupBy.sem SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.__iter__ RT03,SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.agg RT03" \
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-i "pandas.core.groupby.SeriesGroupBy.aggregate RT03" \
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-i "pandas.core.groupby.SeriesGroupBy.get_group RT03,SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.groups SA01" \
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-i "pandas.core.groupby.SeriesGroupBy.indices SA01" \
@@ -164,7 +118,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.core.groupby.SeriesGroupBy.plot PR02" \
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-i "pandas.core.groupby.SeriesGroupBy.sem SA01" \
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-i "pandas.core.resample.Resampler.__iter__ RT03,SA01" \
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-i "pandas.core.resample.Resampler.ffill RT03" \
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-i "pandas.core.resample.Resampler.get_group RT03,SA01" \
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-i "pandas.core.resample.Resampler.groups SA01" \
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-i "pandas.core.resample.Resampler.indices SA01" \
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-i "pandas.core.resample.Resampler.sum SA01" \
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-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.date_range RT03" \
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-i "pandas.errors.AttributeConflictWarning SA01" \
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-i "pandas.errors.CSSWarning SA01" \
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-i "pandas.errors.CategoricalConversionWarning SA01" \
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-i "pandas.errors.ChainedAssignmentError SA01" \
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-i "pandas.errors.ClosedFileError SA01" \
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-i "pandas.errors.DataError SA01" \
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-i "pandas.errors.DuplicateLabelError SA01" \
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-i "pandas.errors.EmptyDataError SA01" \
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-i "pandas.errors.IntCastingNaNError SA01" \
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-i "pandas.errors.InvalidIndexError SA01" \
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-i "pandas.errors.InvalidVersion SA01" \
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-i "pandas.errors.NullFrequencyError SA01" \
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-i "pandas.errors.NumExprClobberingError SA01" \
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-i "pandas.errors.NumbaUtilError SA01" \
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-i "pandas.errors.OptionError SA01" \
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-i "pandas.errors.OutOfBoundsDatetime SA01" \
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-i "pandas.errors.OutOfBoundsTimedelta SA01" \
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-i "pandas.errors.PerformanceWarning SA01" \
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-i "pandas.errors.PossibleDataLossError SA01" \
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-i "pandas.errors.PossiblePrecisionLoss SA01" \
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-i "pandas.errors.SpecificationError SA01" \
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-i "pandas.errors.UndefinedVariableError PR01,SA01" \
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-i "pandas.errors.UnsortedIndexError SA01" \
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-i "pandas.errors.UnsupportedFunctionCall SA01" \
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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.json.build_table_schema PR07,RT03,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" \
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-i "pandas.io.stata.StataReader.variable_labels RT03,SA01" \
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-i "pandas.io.stata.StataWriter.write_file SA01" \
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-i "pandas.json_normalize RT03,SA01" \
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-i "pandas.period_range RT03,SA01" \
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-i "pandas.plotting.andrews_curves RT03,SA01" \
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-i "pandas.plotting.lag_plot RT03,SA01" \
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-i "pandas.plotting.scatter_matrix PR07,SA01" \
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-i "pandas.set_eng_float_format RT03,SA01" \
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-i "pandas.testing.assert_extension_array_equal SA01" \
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-i "pandas.tseries.offsets.BDay PR02,SA01" \
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-i "pandas.tseries.offsets.BQuarterBegin.is_on_offset GL08" \
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-i "pandas.tseries.offsets.BQuarterBegin.n GL08" \
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-i "pandas.tseries.offsets.SemiMonthBegin.n GL08" \
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-i "pandas.tseries.offsets.SemiMonthBegin.normalize GL08" \
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-i "pandas.tseries.offsets.SemiMonthBegin.rule_code GL08" \
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-i "pandas.tseries.offsets.SemiMonthEnd SA01" \
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-i "pandas.tseries.offsets.SemiMonthEnd.day_of_month GL08" \
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-i "pandas.tseries.offsets.SemiMonthEnd.is_on_offset GL08" \
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-i "pandas.tseries.offsets.SemiMonthEnd.n GL08" \
@@ -383,7 +322,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
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-i "pandas.tseries.offsets.Week.normalize GL08" \
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-i "pandas.tseries.offsets.Week.weekday GL08" \
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-i "pandas.tseries.offsets.WeekOfMonth SA01" \
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-i "pandas.tseries.offsets.WeekOfMonth.is_on_offset GL08" \
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-i "pandas.tseries.offsets.WeekOfMonth.n GL08" \
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-i "pandas.tseries.offsets.WeekOfMonth.normalize GL08" \

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