Tracking issue for free-threading docs
Dieses Issue hat noch niemand übernommen.
- Vorherrschende Sprache
- Python
- Sterne
- 77.2k
- Forks
- 35.9k
- PR-Merge-Kennzahlen
- PR-Kennzahlen ausstehend
Beschreibung
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
Beitragsleitfaden
Erste Schritte
- Lies das ganze Issue und danach den Beitragsleitfaden des Projekts.
- Schreib ins Issue, dass du es übernimmst — das erspart doppelte Arbeit.
- Forke das Repository und arbeite in einem Branch.
- Öffne einen Pull Request, der die Issue-Nummer nennt.
Rechercherichtung
Beginne damit, ein nicht abgehaktes, in sich geschlossenes Element aus den verbleibenden Arbeiten auszuwählen, zum Beispiel die Dokumentation eines stdlib-Typs oder das Erstellen von Doc/howto/free-threading-guide.rst. Lies anschließend die zugehörige vorhandene Dokumentation, einschließlich free-threading-python.rst und threadsafety.rst, schließe dann das ausgewählte Checklisten-Element ab und füge die angeforderten Querverweise oder Anmerkungen hinzu.
Vom Indexierungsmodell aus dem Issue-Text verfasst.
Bewertung
- Tech-Stack
- python
- Bereich
- documentation
- Issue-Typ
- Dokumentation
- Schwierigkeit
- 5/5
- Geschätzter Aufwand
- Über eine Woche
- Aktivitätsstatus
- Ruhig
- Klarheit
- Muss geklärt werden
- Anfängerfreundlichkeit
- 25/100