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.github/CODEOWNERS

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**/*imap* @python/email-team
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**/*poplib* @python/email-team
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# Exclude .mailmap from being owned by @python/email-team
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/.mailmap
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# Garbage collector
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/Modules/gcmodule.c @pablogsal
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/Doc/library/gc.rst @pablogsal

.mailmap

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# This file sets the canonical name for contributors to the repository.
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# Documentation: https://git-scm.com/docs/gitmailmap
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Willow Chargin <[email protected]>
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.pre-commit-config.yaml

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repos:
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- repo: https://github.com/astral-sh/ruff-pre-commit
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rev: v0.9.1
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rev: v0.11.4
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hooks:
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- id: ruff
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name: Run Ruff (lint) on Doc/
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args: [--exit-non-zero-on-fix]
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files: ^Lib/test/
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- id: ruff
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name: Run Ruff (lint) on Tools/build/check_warnings.py
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name: Run Ruff (lint) on Tools/build/
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args: [--exit-non-zero-on-fix, --config=Tools/build/.ruff.toml]
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files: ^Tools/build/check_warnings.py
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files: ^Tools/build/
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- id: ruff
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name: Run Ruff (lint) on Argument Clinic
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args: [--exit-non-zero-on-fix, --config=Tools/clinic/.ruff.toml]

Doc/data/stable_abi.dat

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Doc/howto/perf_profiling.rst

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that were created by Python.
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.. warning::
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Notice that when using ``--call-graph dwarf`` the ``perf`` tool will take
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When using ``--call-graph dwarf``, the ``perf`` tool will take
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snapshots of the stack of the process being profiled and save the
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information in the ``perf.data`` file. By default the size of the stack dump
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is 8192 bytes but the user can change the size by passing the size after
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comma like ``--call-graph dwarf,4096``. The size of the stack dump is
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important because if the size is too small ``perf`` will not be able to
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unwind the stack and the output will be incomplete. On the other hand, if
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the size is too big, then ``perf`` won't be able to sample the process as
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frequently as it would like as the overhead will be higher.
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information in the ``perf.data`` file. By default, the size of the stack dump
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is 8192 bytes, but you can change the size by passing it after
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a comma like ``--call-graph dwarf,16384``.
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The size of the stack dump is important because if the size is too small
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``perf`` will not be able to unwind the stack and the output will be
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incomplete. On the other hand, if the size is too big, then ``perf`` won't
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be able to sample the process as frequently as it would like as the overhead
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will be higher.
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The stack size is particularly important when profiling Python code compiled
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with low optimization levels (like ``-O0``), as these builds tend to have
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larger stack frames. If you are compiling Python with ``-O0`` and not seeing
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Python functions in your profiling output, try increasing the stack dump
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size to 65528 bytes (the maximum)::
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$ perf record -F 9999 -g -k 1 --call-graph dwarf,65528 -o perf.data python -Xperf_jit my_script.py
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Different compilation flags can significantly impact stack sizes:
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- Builds with ``-O0`` typically have much larger stack frames than those with ``-O1`` or higher
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- Adding optimizations (``-O1``, ``-O2``, etc.) typically reduces stack size
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- Frame pointers (``-fno-omit-frame-pointer``) generally provide more reliable stack unwinding

Doc/library/dis.rst

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If ``STACK[-1]`` is not ``None``, increments the bytecode counter by *delta*.
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``STACK[-1]`` is popped.
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This opcode is a pseudo-instruction, replaced in final bytecode by
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the directed versions (forward/backward).
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.. versionadded:: 3.11
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If ``STACK[-1]`` is ``None``, increments the bytecode counter by *delta*.
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``STACK[-1]`` is popped.
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This opcode is a pseudo-instruction, replaced in final bytecode by
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the directed versions (forward/backward).
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.. versionadded:: 3.11
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* ``oparg == 2``: call :func:`repr` on *value*
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* ``oparg == 3``: call :func:`ascii` on *value*
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Used for implementing formatted literal strings (f-strings).
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Used for implementing formatted string literals (f-strings).
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.. versionadded:: 3.13
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Used for implementing formatted literal strings (f-strings).
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Used for implementing formatted string literals (f-strings).
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Used for implementing formatted literal strings (f-strings).
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Used for implementing formatted string literals (f-strings).
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.. versionadded:: 3.13
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Doc/library/hashlib.rst

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--------------
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This module implements a common interface to many different secure hash and
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message digest algorithms. Included are the FIPS secure hash algorithms SHA1,
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SHA224, SHA256, SHA384, SHA512, (defined in `the FIPS 180-4 standard`_),
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the SHA-3 series (defined in `the FIPS 202 standard`_) as well as RSA's MD5
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algorithm (defined in internet :rfc:`1321`). The terms "secure hash" and
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"message digest" are interchangeable. Older algorithms were called message
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digests. The modern term is secure hash.
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This module implements a common interface to many different hash algorithms.
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Included are the FIPS secure hash algorithms SHA224, SHA256, SHA384, SHA512,
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(defined in `the FIPS 180-4 standard`_), the SHA-3 series (defined in `the FIPS
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202 standard`_) as well as the legacy algorithms SHA1 (`formerly part of FIPS`_)
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and the MD5 algorithm (defined in internet :rfc:`1321`).
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.. note::
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.. _the FIPS 180-4 standard: https://csrc.nist.gov/pubs/fips/180-4/upd1/final
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.. _the FIPS 202 standard: https://csrc.nist.gov/pubs/fips/202/final
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.. _HACL\* project: https://github.com/hacl-star/hacl-star
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.. _formerly part of FIPS: https://csrc.nist.gov/news/2023/decision-to-revise-fips-180-4
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.. _hashlib-seealso:

Doc/library/itertools.rst

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.. testcode::
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def multinomial(*counts):
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"Number of distinct arrangements of a multiset."
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# Counter('abracadabra').values() → 5 2 2 1 1
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# multinomial(5, 2, 2, 1, 1) → 83160
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return prod(map(comb, accumulate(counts), counts))
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def powerset(iterable):
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def multinomial(*counts):
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# multinomial(5, 2, 2, 1, 1) → 83160
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.. doctest::
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:hide:

Doc/library/shutil.rst

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This is also applied when *cmd* is a path that contains a directory
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component::
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>>> shutil.which("C:\\Python33\\python")
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'C:\\Python33\\python.EXE'
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.. versionadded:: 3.3

Doc/library/socket.rst

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.. versionchanged:: 3.11
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.. versionchanged:: next
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Restored missing ``CAN_RAW_ERR_FILTER`` on Linux.
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.. data:: CAN_BCM
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CAN_BCM_*
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