They used to be shared, before 3.12. Returning to sharing them resolves a failure on Py_TRACE_REFS builds.
Co-authored-by: Petr Viktorin <encukou@gmail.com>
Co-authored-by: Hugo van Kemenade <1324225+hugovk@users.noreply.github.com>
Co-authored-by: Barry Warsaw <barry@python.org>
Co-authored-by: Jelle Zijlstra <jelle.zijlstra@gmail.com>
The function returns `True` or `False` depending on whether the GIL is
currently enabled. In the default build, it always returns `True`
because the GIL is always enabled.
Add PythonFinalizationError exception. This exception derived from
RuntimeError is raised when an operation is blocked during the Python
finalization.
The following functions now raise PythonFinalizationError, instead of
RuntimeError:
* _thread.start_new_thread()
* subprocess.Popen
* os.fork()
* os.fork1()
* os.forkpty()
Morever, _winapi.Overlapped finalizer now logs an unraisable
PythonFinalizationError, instead of an unraisable RuntimeError.
- Mark up named tuple attributes as attributes
- Remove links for external functions
- io.BufferedIOBase has no 'buffer' attribute;
remove the link and mark up using :attr:`!buffer`
- (Re)format some tables as bullet lists:
- sys._emscripten_info
- sys.hash_info
- sys.int_info
- sys.thread_info
- In the paragraphs mentioning 'f_trace_lines' and 'f_trace_opcodes',
add links to the frame objects reference.
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
Co-authored-by: Adam Turner <9087854+AA-Turner@users.noreply.github.com>
- Normalise capitalisation and punctuation
- Use attribute markup for named tuple attributes
- Use :c:macro: markup for C macros
- Use a list for the 'rounds' attribute values
- Use list-table, for better .rst readability
- Remove one unneeded sys.float_info.dig link
Co-authored-by: Adam Turner <9087854+AA-Turner@users.noreply.github.com>
PEP 683 (immortal objects) revealed some ways in which the Python documentation has been unnecessarily coupled to the implementation details of reference counts. In the end users should focus on reference ownership, including taking references and releasing them, rather than on how many reference counts an object has.
This change updates the documentation to reflect that perspective. It also updates the docs relative to immortal objects in a handful of places.
* Uncomment object removal in pairindextypes
* Use new-style index directive ('object') - C API
* Use new-style index directive ('object') - Library
* Use new-style index directive ('object') - Reference
* Use new-style index directive ('object') - Tutorial
* Remove deprecated classes from pkgutil
* Remove some other PEP 302 obsolescence
* Use find_spec instead of load_module
* Remove more tests of PEP 302 obsolete APIs
* Remove another bunch of tests using obsolete load_modules()
* Remove deleted names from __all__
* Remove obsolete footnote
* imp is removed
* Remove `imp` from generated stdlib names
* What's new and blurb
* Update zipimport documentation for the removed methods
* Fix some Windows tests
* Remove any test (or part of a test) that references `find_module()`.
* Use assertIsNone() / assertIsNotNone() consistently.
* Update Doc/reference/import.rst
* We don't need pkgutil._get_spec() any more either
* test.test_importlib.fixtures.NullFinder
* ...BadLoaderFinder.find_module
* ...test_api.InvalidatingNullFinder.find_module
* ...test.test_zipimport test of z.find_module
* Suppress cross-references to find_loader and find_module
* Suppress cross-references to Finder
* Suppress cross-references to pkgutil.ImpImporter and pkgutil.ImpLoader
---------
Co-authored-by: Oleg Iarygin <oleg@arhadthedev.net>
Co-authored-by: Adam Turner <9087854+aa-turner@users.noreply.github.com>
This is the implementation of PEP683
Motivation:
The PR introduces the ability to immortalize instances in CPython which bypasses reference counting. Tagging objects as immortal allows up to skip certain operations when we know that the object will be around for the entire execution of the runtime.
Note that this by itself will bring a performance regression to the runtime due to the extra reference count checks. However, this brings the ability of having truly immutable objects that are useful in other contexts such as immutable data sharing between sub-interpreters.