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brandtbucherbrandtbucher
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Catch up with main
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‎.github/CODEOWNERS‎

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@@ -28,14 +28,18 @@ Objects/type* @markshannon
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Objects/codeobject.c @markshannon
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Objects/frameobject.c @markshannon
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Objects/call.c @markshannon
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Python/ceval.c @markshannon
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Python/ceval*.c @markshannon @gvanrossum
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Python/ceval*.h @markshannon @gvanrossum
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Python/compile.c @markshannon @iritkatriel
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Python/assemble.c @markshannon @iritkatriel
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Python/flowgraph.c @markshannon @iritkatriel
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Python/ast_opt.c @isidentical
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Python/bytecodes.c @markshannon @gvanrossum
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Python/optimizer*.c @markshannon @gvanrossum
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Lib/test/test_patma.py @brandtbucher
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Lib/test/test_peepholer.py @brandtbucher
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Lib/test/test_type_*.py @JelleZijlstra
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Lib/test/test_capi/test_misc.py @markshannon @gvanrossum
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# Exceptions
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Lib/traceback.py @iritkatriel
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/Lib/tokenize.py @pablogsal @lysnikolaou
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/Lib/test/test_tokenize.py @pablogsal @lysnikolaou
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# Code generator
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/Tools/cases_generator/ @gvanrossum
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# AST
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Python/ast.c @isidentical
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Parser/asdl.py @isidentical
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**/*idlelib* @terryjreedy
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**/*typing* @gvanrossum @JelleZijlstra @AlexWaygood
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**/*typing* @JelleZijlstra @AlexWaygood
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**/*ftplib @giampaolo
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**/*shutil @giampaolo

‎.github/workflows/build.yml‎

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@@ -120,7 +120,9 @@ jobs:
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check_generated_files:
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name: 'Check if generated files are up to date'
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runs-on: ubuntu-latest
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# Don't use ubuntu-latest but a specific version to make the job
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# reproducible: to get the same tools versions (autoconf, aclocal, ...)
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runs-on: ubuntu-22.04
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timeout-minutes: 60
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needs: check_source
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if: needs.check_source.outputs.run_tests == 'true'
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- name: Check Autoconf and aclocal versions
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run: |
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grep "Generated by GNU Autoconf 2.71" configure
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grep "aclocal 1.16.4" aclocal.m4
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grep "aclocal 1.16.5" aclocal.m4
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grep -q "runstatedir" configure
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grep -q "PKG_PROG_PKG_CONFIG" aclocal.m4
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- name: Configure CPython
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run: |
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# Build Python with the libpython dynamic library
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./configure --config-cache --with-pydebug --enable-shared
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- name: Regenerate autoconf files with container image
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run: make regen-configure
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- name: Regenerate autoconf files
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# Same command used by Tools/build/regen-configure.sh ($AUTORECONF)
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run: autoreconf -ivf -Werror
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- name: Build CPython
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run: |
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make -j4 regen-all

‎.github/workflows/posix-deps-apt.sh‎

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#!/bin/sh
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apt-get update
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# autoconf-archive is needed by autoreconf (check_generated_files job)
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apt-get -yq install \
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build-essential \
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pkg-config \
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autoconf-archive \
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ccache \
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gdb \
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lcov \

‎Doc/c-api/bool.rst‎

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.. c:var:: PyObject* Py_False
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The Python ``False`` object. This object has no methods and is
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`immortal <https://peps.python.org/pep-0683/>`_.
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:term:`immortal`.
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.. versionchanged:: 3.12
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:c:data:`Py_False` is immortal.
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.. versionchanged:: 3.12
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:c:data:`Py_False` is :term:`immortal`.
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.. c:var:: PyObject* Py_True
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The Python ``True`` object. This object has no methods and is
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`immortal <https://peps.python.org/pep-0683/>`_.
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:term:`immortal`.
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.. versionchanged:: 3.12
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:c:data:`Py_True` is immortal.
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.. versionchanged:: 3.12
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:c:data:`Py_True` is :term:`immortal`.
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.. c:macro:: Py_RETURN_FALSE

‎Doc/c-api/init.rst‎

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@@ -1485,7 +1485,7 @@ otherwise immutable (e.g. ``None``, ``(1, 5)``) can't normally be shared
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because of the refcount. One simple but less-efficient approach around
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this is to use a global lock around all use of some state (or object).
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Alternately, effectively immutable objects (like integers or strings)
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can be made safe in spite of their refcounts by making them "immortal".
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can be made safe in spite of their refcounts by making them :term:`immortal`.
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In fact, this has been done for the builtin singletons, small integers,
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and a number of other builtin objects.
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‎Doc/c-api/init_config.rst‎

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.. c:member:: int show_ref_count
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Show total reference count at exit (excluding immortal objects)?
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Show total reference count at exit (excluding :term:`immortal` objects)?
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Set to ``1`` by :option:`-X showrefcount <-X>` command line option.
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‎Doc/c-api/none.rst‎

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.. c:var:: PyObject* Py_None
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The Python ``None`` object, denoting lack of value. This object has no methods
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and is `immortal <https://peps.python.org/pep-0683/>`_.
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and is :term:`immortal`.
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.. versionchanged:: 3.12
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:c:data:`Py_None` is immortal.
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.. versionchanged:: 3.12
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:c:data:`Py_None` is :term:`immortal`.
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.. c:macro:: Py_RETURN_NONE
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‎Doc/c-api/refcounting.rst‎

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Note that the returned value may not actually reflect how many
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references to the object are actually held. For example, some
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objects are "immortal" and have a very high refcount that does not
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objects are :term:`immortal` and have a very high refcount that does not
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reflect the actual number of references. Consequently, do not rely
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on the returned value to be accurate, other than a value of 0 or 1.
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Set the object *o* reference counter to *refcnt*.
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Note that this function has no effect on
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`immortal <https://peps.python.org/pep-0683/>`_
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objects.
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This function has no effect on :term:`immortal` objects.
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.. versionadded:: 3.9
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Indicate taking a new :term:`strong reference` to object *o*,
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indicating it is in use and should not be destroyed.
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This function has no effect on :term:`immortal` objects.
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This function is usually used to convert a :term:`borrowed reference` to a
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:term:`strong reference` in-place. The :c:func:`Py_NewRef` function can be
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used to create a new :term:`strong reference`.
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Release a :term:`strong reference` to object *o*, indicating the
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reference is no longer used.
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This function has no effect on :term:`immortal` objects.
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Once the last :term:`strong reference` is released
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(i.e. the object's reference count reaches 0),
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the object's type's deallocation

‎Doc/c-api/slice.rst‎

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.. c:var:: PyObject *Py_Ellipsis
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The Python ``Ellipsis`` object. This object has no methods. Like
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:c:data:`Py_None`, it is an `immortal <https://peps.python.org/pep-0683/>`_.
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singleton object.
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:c:data:`Py_None`, it is an :term:`immortal` singleton object.
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:c:data:`Py_Ellipsis` is immortal.

‎Doc/glossary.rst‎

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:ref:`idle` is a basic editor and interpreter environment
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which ships with the standard distribution of Python.
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immortal
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If an object is immortal, its reference count is never modified, and
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therefore it is never deallocated.
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Built-in strings and singletons are immortal objects. For example,
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:const:`True` and :const:`None` singletons are immmortal.
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See `PEP 683 – Immortal Objects, Using a Fixed Refcount
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<https://peps.python.org/pep-0683/>`_ for more information.
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immutable
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An object with a fixed value. Immutable objects include numbers, strings and
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tuples. Such an object cannot be altered. A new object has to
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reference count
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The number of references to an object. When the reference count of an
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object drops to zero, it is deallocated. Some objects are
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"immortal" and have reference counts that are never modified, and
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:term:`immortal` and have reference counts that are never modified, and
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therefore the objects are never deallocated. Reference counting is
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generally not visible to Python code, but it is a key element of the
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:term:`CPython` implementation. Programmers can call the

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