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The Python programming language
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4ed40146f1
-fno-omit-frame-pointer is not enough to make every target walkable by the simple manual frame pointer unwinder. The helper used by test_frame_pointer_unwind used to assume the frame pointer named a two-word record where fp[0] was the previous frame pointer and fp[1] was the return address. That is only the generic layout used by some targets. This patch keeps that default, but moves the slots behind named offsets so architecture-specific layouts can describe where the backchain and return address really live. On s390x, GCC and Clang do not emit a usable backchain unless -mbackchain is enabled. Without it, the unwinder stops at the current C frame and the test reports no Python frames. Once backchains are present, the helper must also stop at the current thread's known C stack bounds; otherwise it can follow the final backchain far enough to dereference an invalid frame and segfault. For Linux s390x backchain frames, the documented z/Architecture stack-frame layout saves r14, the return-address register, at byte offset 112 from the frame pointer, so read the return address from that named slot instead of fp[1]. The 112-byte offset comes from Linux's s390 debugging documentation: its Stack Frame Layout table shows z/Architecture backchain frames with the backchain at offset 0 and saved r14 of the caller function at offset 112: https://www.kernel.org/doc/html/v5.3/s390/debugging390.html#stack-frame-layout This helper remains scoped to Linux s390x backchain frames. GNU SFrame's s390x notes state that the s390x ELF ABI does not generally mandate where RA and FP are saved, or whether they are saved at all: https://sourceware.org/binutils/docs/sframe-spec.html#s390x As Jens Remus noted, -fno-omit-frame-pointer is not needed when -mbackchain is present. On 32-bit ARM, GCC defaults to Thumb mode on common armhf toolchains. The Thumb prologue keeps the saved frame pointer and link register at offsets that depend on the generated frame, which breaks the fp[0]/fp[1] walk used by the helper. Use -marm when it is supported for frame-pointer builds, and teach the helper the GCC ARM-mode slots where the previous frame pointer is at fp[-1] and the saved LR return address is at fp[0]. Co-authored-by: Petr Viktorin <encukou@gmail.com> Co-authored-by: Victor Stinner <vstinner@python.org> |
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This is Python version 3.15.0 alpha 8
=====================================
.. image:: https://github.com/python/cpython/actions/workflows/build.yml/badge.svg?branch=main&event=push
:alt: CPython build status on GitHub Actions
:target: https://github.com/python/cpython/actions
.. image:: https://dev.azure.com/python/cpython/_apis/build/status/Azure%20Pipelines%20CI?branchName=main
:alt: CPython build status on Azure DevOps
:target: https://dev.azure.com/python/cpython/_build/latest?definitionId=4&branchName=main
.. image:: https://img.shields.io/badge/discourse-join_chat-brightgreen.svg
:alt: Python Discourse chat
:target: https://discuss.python.org/
Copyright © 2001 Python Software Foundation. All rights reserved.
See the end of this file for further copyright and license information.
.. contents::
General Information
-------------------
- Website: https://www.python.org
- Source code: https://github.com/python/cpython
- Issue tracker: https://github.com/python/cpython/issues
- Documentation: https://docs.python.org
- Developer's Guide: https://devguide.python.org/
Contributing to CPython
-----------------------
For more complete instructions on contributing to CPython development,
see the `Developer Guide`_.
.. _Developer Guide: https://devguide.python.org/
Using Python
------------
Installable Python kits, and information about using Python, are available at
`python.org`_.
.. _python.org: https://www.python.org/
Build Instructions
------------------
On Unix, Linux, BSD, macOS, and Cygwin::
./configure
make
make test
sudo make install
This will install Python as ``python3``.
You can pass many options to the configure script; run ``./configure --help``
to find out more. On macOS case-insensitive file systems and on Cygwin,
the executable is called ``python.exe``; elsewhere it's just ``python``.
Building a complete Python installation requires the use of various
additional third-party libraries, depending on your build platform and
configure options. Not all standard library modules are buildable or
usable on all platforms. Refer to the
`Install dependencies <https://devguide.python.org/getting-started/setup-building.html#build-dependencies>`_
section of the `Developer Guide`_ for current detailed information on
dependencies for various Linux distributions and macOS.
On macOS, there are additional configure and build options related
to macOS framework and universal builds. Refer to `Mac/README.rst
<https://github.com/python/cpython/blob/main/Mac/README.rst>`_.
On Windows, see `PCbuild/readme.txt
<https://github.com/python/cpython/blob/main/PCbuild/readme.txt>`_.
To build Windows installer, see `Tools/msi/README.txt
<https://github.com/python/cpython/blob/main/Tools/msi/README.txt>`_.
If you wish, you can create a subdirectory and invoke configure from there.
For example::
mkdir debug
cd debug
../configure --with-pydebug
make
make test
(This will fail if you *also* built at the top-level directory. You should do
a ``make clean`` at the top-level first.)
To get an optimized build of Python, ``configure --enable-optimizations``
before you run ``make``. This sets the default make targets up to enable
Profile Guided Optimization (PGO) and may be used to auto-enable Link Time
Optimization (LTO) on some platforms. For more details, see the sections
below.
Profile Guided Optimization
^^^^^^^^^^^^^^^^^^^^^^^^^^^
PGO takes advantage of recent versions of the GCC or Clang compilers. If used,
either via ``configure --enable-optimizations`` or by manually running
``make profile-opt`` regardless of configure flags, the optimized build
process will perform the following steps:
The entire Python directory is cleaned of temporary files that may have
resulted from a previous compilation.
An instrumented version of the interpreter is built, using suitable compiler
flags for each flavor. Note that this is just an intermediary step. The
binary resulting from this step is not good for real-life workloads as it has
profiling instructions embedded inside.
After the instrumented interpreter is built, the Makefile will run a training
workload. This is necessary in order to profile the interpreter's execution.
Note also that any output, both stdout and stderr, that may appear at this step
is suppressed.
The final step is to build the actual interpreter, using the information
collected from the instrumented one. The end result will be a Python binary
that is optimized; suitable for distribution or production installation.
Link Time Optimization
^^^^^^^^^^^^^^^^^^^^^^
Enabled via configure's ``--with-lto`` flag. LTO takes advantage of the
ability of recent compiler toolchains to optimize across the otherwise
arbitrary ``.o`` file boundary when building final executables or shared
libraries for additional performance gains.
What's New
----------
We have a comprehensive overview of the changes in the `What's new in Python
3.15 <https://docs.python.org/3.15/whatsnew/3.15.html>`_ document. For a more
detailed change log, read `Misc/NEWS
<https://github.com/python/cpython/tree/main/Misc/NEWS.d>`_, but a full
accounting of changes can only be gleaned from the `commit history
<https://github.com/python/cpython/commits/main>`_.
If you want to install multiple versions of Python, see the section below
entitled "Installing multiple versions".
Documentation
-------------
`Documentation for Python 3.15 <https://docs.python.org/3.15/>`_ is online,
updated daily.
It can also be downloaded in many formats for faster access. The documentation
is downloadable in HTML, EPUB, and reStructuredText formats; the latter version
is primarily for documentation authors, translators, and people with special
formatting requirements.
For information about building Python's documentation, refer to `Doc/README.rst
<https://github.com/python/cpython/blob/main/Doc/README.rst>`_.
Testing
-------
To test the interpreter, type ``make test`` in the top-level directory. The
test set produces some output. You can generally ignore the messages about
skipped tests due to optional features which can't be imported. If a message
is printed about a failed test or a traceback or core dump is produced,
something is wrong.
By default, tests are prevented from overusing resources like disk space and
memory. To enable these tests, run ``make buildbottest``.
If any tests fail, you can re-run the failing test(s) in verbose mode. For
example, if ``test_os`` and ``test_gdb`` failed, you can run::
make test TESTOPTS="-v test_os test_gdb"
If the failure persists and appears to be a problem with Python rather than
your environment, you can `file a bug report
<https://github.com/python/cpython/issues>`_ and include relevant output from
that command to show the issue.
See `Running & Writing Tests <https://devguide.python.org/testing/run-write-tests.html>`_
for more on running tests.
Installing multiple versions
----------------------------
On Unix and Mac systems if you intend to install multiple versions of Python
using the same installation prefix (``--prefix`` argument to the configure
script) you must take care that your primary python executable is not
overwritten by the installation of a different version. All files and
directories installed using ``make altinstall`` contain the major and minor
version and can thus live side-by-side. ``make install`` also creates
``${prefix}/bin/python3`` which refers to ``${prefix}/bin/python3.X``. If you
intend to install multiple versions using the same prefix you must decide which
version (if any) is your "primary" version. Install that version using
``make install``. Install all other versions using ``make altinstall``.
For example, if you want to install Python 2.7, 3.6, and 3.15 with 3.15 being the
primary version, you would execute ``make install`` in your 3.15 build directory
and ``make altinstall`` in the others.
Release Schedule
----------------
See `PEP 790 <https://peps.python.org/pep-0790/>`__ for Python 3.15 release details.
Copyright and License Information
---------------------------------
Copyright © 2001 Python Software Foundation. All rights reserved.
Copyright © 2000 BeOpen.com. All rights reserved.
Copyright © 1995-2001 Corporation for National Research Initiatives. All
rights reserved.
Copyright © 1991-1995 Stichting Mathematisch Centrum. All rights reserved.
See the `LICENSE <https://github.com/python/cpython/blob/main/LICENSE>`_ for
information on the history of this software, terms & conditions for usage, and a
DISCLAIMER OF ALL WARRANTIES.
This Python distribution contains *no* GNU General Public License (GPL) code,
so it may be used in proprietary projects. There are interfaces to some GNU
code but these are entirely optional.
All trademarks referenced herein are property of their respective holders.