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.github/PULL_REQUEST_TEMPLATE.md

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- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
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- [ ] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
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- [ ] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.
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- [ ] If I used AI to develop this pull request, I prompted it to follow `AGENTS.md`.

.github/workflows/code-checks.yml

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uses: actions/checkout@v6
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.github/workflows/codeql.yml

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- python
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- uses: actions/checkout@v6
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languages: ${{ matrix.language }}

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

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.github/workflows/package-checks.yml

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.github/workflows/unit-tests.yml

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.github/workflows/wheels.yml

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.gitignore

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.noseids
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AGENTS.md

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# pandas Agent Instructions
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## Project Overview
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`pandas` is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.
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## Purpose
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- Assist contributors by suggesting code changes, tests, and documentation edits for the pandas repository while preserving stability and compatibility.
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## Persona & Tone
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- Concise, neutral, code-focused. Prioritize correctness, readability, and tests.
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## Project Guidelines
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- Be sure to follow all guidelines for contributing to the codebase specified at https://pandas.pydata.org/docs/development/contributing_codebase.html
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- These guidelines are also available in the following local files, which should be loaded into context and adhered to
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- doc/source/development/contributing_codebase.rst
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- doc/source/development/contributing_docstring.rst
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- doc/source/development/contributing_documentation.rst
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- doc/source/development/contributing.rst
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## Decision heuristics
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- Favor small, backward-compatible changes with tests.
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- If a change would be breaking, propose it behind a deprecation path and document the rationale.
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- Prefer readability over micro-optimizations unless benchmarks are requested.
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- Add tests for behavioral changes; update docs only after code change is final.
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## Type hints guidance (summary)
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- Prefer PEP 484 style and types in pandas._typing when appropriate.
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- Avoid unnecessary use of typing.cast; prefer refactors that convey types to type-checkers.
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- Use builtin generics (list, dict) when possible.
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## Docstring guidance (summary)
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- Follow NumPy / numpydoc conventions used across the repo: short summary, extended summary, Parameters, Returns/Yields, See Also, Notes, Examples.
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- Ensure examples are deterministic, import numpy/pandas as documented, and pass doctest rules used by docs validation.
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- Preserve formatting rules: triple double-quotes, no blank line before/after docstring, parameter formatting ("name : type, default ..."), types and examples conventions.
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## Pull Requests (summary)
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- Pull request titles should be descriptive and include one of the following prefixes:
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- ENH: Enhancement, new functionality
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- BUG: Bug fix
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- DOC: Additions/updates to documentation
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- TST: Additions/updates to tests
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- BLD: Updates to the build process/scripts
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- PERF: Performance improvement
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- TYP: Type annotations
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- CLN: Code cleanup
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- Pull request descriptions should follow the template, and **succinctly** describe the change being made. Usually a few sentences is sufficient.
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- Pull requests which are resolving an existing Github Issue should include a link to the issue in the PR Description.
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- Do not add summaries or additional comments to individual commit messages. The single PR description is sufficient.

ci/code_checks.sh

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-i "pandas.api.extensions.ExtensionArray.value_counts EX01,RT03,SA01" \
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