Tracking issue for free-threading docs
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- 主要語言
- Python
- 星號
- 77.2k
- 分支
- 36k
- PR 合併指標
- PR 指標待擷取
描述
Documentation
Summary
This is a tracking issue for the ongoing effort to improve thread safety documentation in CPython, covering both Python-level guarantees for built-in types and C API-level annotations for extension authors.
Completed work
Thread safety page and built-in type guarantees (gh-142518)
- Define free-threading related terms in the glossary
- gh-142519
- gh-144184
- gh-144716
- gh-145224
C API thread safety annotations (gh-145254)
- Define five annotation levels:
incompatible,compatible,distinct,shared,atomic - gh-145255
- Add thread safety levels reference section to
threadsafety.rst - Open python-docs-theme PR for rendering support
In progress (at the time of writing)
- gh-145225
- gh-145226
- gh-145911
- gh-145875
- gh-146109
Remaining work
stdlib type documentation
After built-in types, document thread-safety guarantees for stdlib types. Suggested priority:
-
collections.deque- widely used as a thread-safe queue substitute; people already assume it's safe; heavily used in asyncio internals -
iotypes (BufferedReader,BufferedWriter,TextIOWrapper) - file I/O is inherently concurrent in real programs; existing thread-safety notes are scattered and incomplete -
collections.defaultdict- the__missing__call introduces non-obvious concurrency questions (factory call is not atomic with insertion) -
collections.OrderedDict- has its own internal locking that differs from plain dict -
collections.Counter- commonly used for aggregation across threads -
array.array- mutable typed array, relevant for numeric/scientific code going parallel
Rationale: deque first because it's the most likely to be shared across threads today. io types next because concurrent file access is common and the current docs are inadequate. The collections types after that, ordered by usage frequency and concurrency risk. array.array last - niche usage, but mutable so still worth documenting.
Free-threading programming guide (new HOWTO)
A new Doc/howto/free-threading-guide.rst, alongside the existing two free-threading HOWTOs. The existing free-threading-python.rst stays focused on "what is free-threading / what changed." The new guide focuses on how to write correct concurrent code.
Topics to cover:
- Single operations vs. compound operations - why "thread-safe" doesn't mean "atomic"
- Common pitfalls: check-then-act, read-modify-write, iterating shared containers
- When and how to use
threading.Lockand other synchronization primitives - Practical patterns: queues,
concurrent.futures, thread-local storage - How to migrate existing threaded code that relied on the GIL
- Testing and debugging strategies (ThreadSanitizer, running under free-threaded builds)
- Summary reference table of built-in type thread safety (quick lookup, links to detailed per-type docs)
Cross-reference from free-threading-python.rst and from the per-type thread safety page.
asyncio free-threaded guide
Other documentation gaps
- Review and improve
queuemodule docs w.r.t. free-threaded builds - Address gh-84992
- Address gh-83556
C API annotations
- Annotate
PyObject_*APIs (creation, attribute access, comparison, etc.) - Annotate abstract layer APIs
-
PySequence_* -
PyMapping_* -
PyNumber_* -
PyIter_*
-
- Annotate reference counting APIs (
Py_INCREF,Py_DECREF,Py_NewRef, etc.) - Annotate GIL/critical-section APIs
- Annotate concrete type APIs
-
PyList_* -
PyDict_* -
PySet_* -
PyTuple_* -
PyUnicode_*
-
- Annotate buffer protocol APIs (
PyObject_GetBuffer,PyBuffer_Release, etc.) - Systematically work through remaining high-usage C API functions
Infrastructure improvements
- Coordinate with gh-116738 (audit all built-in modules for thread safety) - ensure doc annotations stay in sync with implementation fixes
- Add CI/linting to validate
threadsafety.datentries match actual function signatures - Consider generating per-module thread safety summary tables - especially in modules where it makes sense like
collections
貢獻指南
從這裡開始
- 先讀完整個 Issue,再讀專案的貢獻指南。
- 在 Issue 下留言說明你要接手 —— 這能避免兩個人做同樣的事。
- Fork 儲存庫,在一個分支上完成修改。
- 送出 Pull Request,並在描述裡引用這個 Issue 編號。
研究方向
先從剩餘工作中選擇一個尚未勾選且自成一體的項目,例如為某個 stdlib 型別撰寫文件,或建立 Doc/howto/free-threading-guide.rst。閱讀相關的現有文件,包括 free-threading-python.rst 和 threadsafety.rst,接著完成所選的檢查清單項目,並加入要求的交叉參照或註解。
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- python
- 領域
- documentation
- Issue 類型
- 文件
- 難度
- 5/5
- 預估耗時
- 一週以上
- 活躍度
- 冷清
- 描述清晰度
- 需要釐清
- 新手友好度
- 25/100