The perf jitdump format defines the thread id field of the JR_CODE_LOAD
record as a 32-bit value, but on macOS it was declared as a uint64_t
(since pthread_threadid_np() returns a uint64_t). Those extra 8 bytes
plus alignment padding shifted every following field, so parsers reading
the file by the spec misread code_size as the code address and failed to
resolve any Python frames.
Declare thread_id as uint32_t on all platforms and truncate the macOS
thread id when writing the record. The value is only informational.
Symbols are resolved by address, and not thread ids so truncation is
safe here.
* Use mach_absolute_time for macOS jitdump timestamps
On macOS the jitdump file is consumed by profilers such as samply, which
timestamp their samples using mach_absolute_time(). The jitdump events were
stamped with clock_gettime(CLOCK_MONOTONIC), a different clock domain that
keeps advancing while the system is asleep, so the JIT code mappings could be
off by days relative to the samples and no Python frame would resolve. Stamp
jitdump events with mach_absolute_time() on macOS so they share the sampler's
clock domain. Linux continues to use CLOCK_MONOTONIC to stay aligned with perf.
Exercise the -Xperf_jit (jitdump) backend through samply and assert that
Python frames resolve, exercising the binary jitdump path end to end.
Skipped when samply is not installed.
* Replace all documentation which says "See PEP 585"
The following classes in the stdlib get simple updates:
- array.array
- asyncio.Future
- asyncio.Task
- collections.defaultdict
- collections.deque
- contextvars.ContextVar
- contextvars.Token
- ctypes.Array
- os.DirEntry
- re.Match
- re.Pattern
- string.templatelib.Interpolation
- string.templatelib.Template
- types.MappingProxyType
- queue.SimpleQueue
- weakref.ref
The following classes are documented publicly as functions, and are
therefore updated internally (`__class_getitem__.__doc__`) but not in the
public docs:
- functools.partial
- itertools.chain
The following builtin types have updates to `__class_getitem__.__doc__`
but not to any documentation pages:
- BaseExceptionGroup
- coroutines (from generators)
- dict
- enumerate
- frozendict
- frozenset
- generators (and async generators)
- list
- memoryview
- set
- slice
- tuple
Special cases:
- union objects are now documented as "supporting class-level []",
rather than anything to do with generics.
- Templates might be generic over a single type (union, in theory) or
over a TypeVarTuple. As this is not currently fully settled, it is
marked with a comment and a mild hint that it is a single type is used
(namely, "type" is singular rather than "types", plural)
* Apply suggestions from code review
Co-authored-by: Jelle Zijlstra <jelle.zijlstra@gmail.com>
* Correct several class getitem docs
And expand the text for tuples.
Co-authored-by: Jelle Zijlstra <906600+JelleZijlstra@users.noreply.github.com>
* Add notes on generic typing of builtins
* Fix typo in tuple.__class_getitem__ docstring
* Typo fix: malformed refs
Fix `generic` links which weren't marked as `:ref:`.
* Strike unnecessary docs on generic-ness
Co-authored-by: Jelle Zijlstra <906600+JelleZijlstra@users.noreply.github.com>
* Apply suggestions from code review
These are applied at both the originally indicated locations and in the
corresponding docstring definitions.
Co-authored-by: Alex Waygood <66076021+AlexWaygood@users.noreply.github.com>
* Update Doc/library/re.rst
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
* Update Objects/enumobject.c
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
* Remove tuple generic doc in 'stdtypes' page
This is covered in more detail in the cross-linked typing documentation.
The other copy of this documentation -- in the docstring for
`tuple.__class_getitem__` -- is left in place.
* Fix whitespace around new doc of generics
Per review, do not introduce or remove whitespace such that section
breaks are altered by the introduction of doc on various generic types.
In most cases, this is a removal of an extra line.
In one case (Arrays), it is the reintroduction of a line.
Additionally, two other minor fixes are included:
- incorrect indent on 'defaultdicts'
- make `mappingproxy.__class_getitem__.__doc__` consistent with other
mapping type generic docs
Co-authored-by: Bénédikt Tran <10796600+picnixz@users.noreply.github.com>
* Move placement of memoryview generic note
Previous placement was at the end of the main docstring, which is
consistent with other types but places it after a section on various
methods (which makes it read somewhat inconsistently). Moving it up
helps resolve.
Co-authored-by: Bénédikt Tran <10796600+picnixz@users.noreply.github.com>
* Ensure sphinxdoc does not start sentences lowercase
Lowercase class names at the start of sentences are marked out with the
`class` role. In the case of `deque`, documentation already refers to
these as `Deques`, so this form is preferred.
* Apply suggestions from code review
Co-authored-by: Bénédikt Tran <10796600+picnixz@users.noreply.github.com>
* Fix line endings and wrap more tightly
Line endings fixed by pre-commit ; also re-wrapped the MappingProxyType
text which was too long.
* Use 'ContextVars' style in sphinx doc
---------
Co-authored-by: Jelle Zijlstra <jelle.zijlstra@gmail.com>
Co-authored-by: Jelle Zijlstra <906600+JelleZijlstra@users.noreply.github.com>
Co-authored-by: Alex Waygood <66076021+AlexWaygood@users.noreply.github.com>
Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>
Co-authored-by: Bénédikt Tran <10796600+picnixz@users.noreply.github.com>
macOS 26 changed the default visibility of "dynamic" system messages. This
changes the logging strategy to tag all messages as "public" so they are
visible in the system log without special configuration.
For AArch64 linux, reduces the total bytes in the code bodies from 489kb to 218kb.
Reduces the size of the stencils files from 394k lines to 167k lines.
Supported encodings: "cp932", "cp949", "cp950", "Big5","EUC-JP",
"GB2312", "GBK", "johab", and "Shift_JIS".
Partially supported encodings (only BMP characters): "Big5-HKSCS",
"EUC_JIS-2004", "EUC_JISX0213", "Shift_JIS-2004", "Shift_JISX0213",
"utf-8-sig" and non-standard aliases like "UTF8" (without hyphen).
The parser now raises ValueError for known unsupported
multi-byte encodings such us "ISO-2022-JP" or "raw-unicode-escape"
instead of failing later, when encounter non-ASCII data.
* Make _Py_ReachedRecursionLimit inline again
* Remove _Py_MakeRecCheck replacing its use with _Py_ReachedRecursionLimit
* Move the check for C stack swtiching into _Py_CheckRecursiveCall
When running profiling on Linux without sudo, attempts to read
process memory would fail with the misleading error 'Failed to find
the PyRuntime section in process <pid> on Linux platform'.
The actual issue is a permissions error because profiling was not
run with sudo. We were clearing the exception on Linux when trying
to read memory, instead, we should bubble up the permissions error
and show it properly.
Use exact remote reads for interpreter state, thread state, and
interpreter frame structs instead of pulling full remote pages into the
profiler page cache. This matches the core change from
python/cpython#149585.
The profiler clears the page cache between samples, so live entries are
always packed at the front. Track the live count and only clear/search
that prefix instead of scanning all 1024 slots on the hot path.
Use the frame cache to predict the next thread state and top frame
address, then batch interpreter/thread/frame reads with process_vm_readv
when profiling a Linux target. Reuse prefetched frame buffers in the
frame walker when the prediction is valid.
Cache the last FrameInfo tuple per code object/instruction offset, reuse
cached thread id objects, and append cached parent frames directly on
full frame-cache hits. This cuts Python allocation churn in the
steady-state profiler path.
In free-threaded builds, concurrent calls to PyDict_AddWatcher, PyDict_ClearWatcher, PyDict_Watch, and PyDict_Unwatch can race on the shared callback array and the per-dict watcher tags. This change adds a mutex to serialize watcher registration and removal, atomic operations for tag updates, and atomic acquire/release synchronization for callback dispatch in _PyDict_SendEvent.
