代码拉取完成,页面将自动刷新

扫描微信二维码支付

取消

支付完成

richgiteeai

Watch

不关注关注所有动态仅关注版本发行动态关注但不提醒动态

1 Star 0 Fork 0

source-code-analysis/python3.8.1

代码 Issues 0 Pull Requests 0 Wiki 统计流水线

服务

加入 Gitee

与超过 1400万开发者一起发现、参与优秀开源项目,私有仓库也完全免费 :)

免费加入

已有帐号? 立即登录

文件

master

分支 (1)

管理

master

克隆/下载

HTTPS SSH SVN SVN+SSH 下载ZIP

提示

下载代码请复制以下命令到终端执行

为确保你提交的代码身份被 Gitee 正确识别,请执行以下命令完成配置

git config --global user.name userName 
git config --global user.email userEmail

初次使用 SSH 协议进行代码克隆、推送等操作时,需按下述提示完成 SSH 配置

1 生成 RSA 密钥

2 获取 RSA 公钥内容,并配置到 SSH公钥中

在 Gitee 上使用 SVN,请访问使用指南

使用 HTTPS 协议时,命令行会出现如下账号密码验证步骤。基于安全考虑,Gitee 建议配置并使用私人令牌替代登录密码进行克隆、推送等操作

Username for 'https://gitee.com': userName

Password for 'https://userName@gitee.com': # 私人令牌

分支 1

标签 0

python3.8.1

README.rst

README.rst 9.74 KB

This is Python version 3.8.1
============================

.. image:: https://travis-ci.org/python/cpython.svg?branch=3.8
 :alt: CPython build status on Travis CI
 :target: https://travis-ci.org/python/cpython/branches

.. image:: https://dev.azure.com/python/cpython/_apis/build/status/Azure%20Pipelines%20CI?branchName=3.8
 :alt: CPython build status on Azure DevOps
 :target: https://dev.azure.com/python/cpython/_build/latest?definitionId=4&branchName=3.8

.. image:: https://codecov.io/gh/python/cpython/branch/3.8/graph/badge.svg
 :alt: CPython code coverage on Codecov
 :target: https://codecov.io/gh/python/cpython/branch/3.8

.. image:: https://img.shields.io/badge/zulip-join_chat-brightgreen.svg
 :alt: Python Zulip chat
 :target: https://python.zulipchat.com

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://bugs.python.org
- 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
useable on all platforms. Refer to the
`Install dependencies <https://devguide.python.org/setup/#install-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/3.8/Mac/README.rst>`_.

On Windows, see `PCbuild/readme.txt
<https://github.com/python/cpython/blob/3.8/PCbuild/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 flavour. 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 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
3.8 <https://docs.python.org/3.8/whatsnew/3.8.html>`_ document. For a more
detailed change log, read `Misc/NEWS
<https://github.com/python/cpython/blob/3.8/Misc/NEWS.d>`_, but a full
accounting of changes can only be gleaned from the `commit history
<https://github.com/python/cpython/commits/3.8>`_.

If you want to install multiple versions of Python, see the section below
entitled "Installing multiple versions".

Documentation
-------------

`Documentation for Python 3.8 <https://docs.python.org/3.8/>`_ is online,
updated daily.

It can also be downloaded in many formats for faster access. The documentation
is downloadable in HTML, PDF, 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/3.8/Doc/README.rst>`_.

Converting From Python 2.x to 3.x
---------------------------------

Significant backward incompatible changes were made for the release of Python
3.0, which may cause programs written for Python 2 to fail when run with Python
3. For more information about porting your code from Python 2 to Python 3, see
the `Porting HOWTO <https://docs.python.org/3/howto/pyporting.html>`_.

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 testall``.

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://bugs.python.org>`_ and
include relevant output from that command to show the issue.

See `Running & Writing Tests <https://devguide.python.org/runtests/>`_
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/pythonX.Y``. 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 3.8 with 3.8 being the
primary version, you would execute ``make install`` in your 3.8 build directory
and ``make altinstall`` in the others.

Issue Tracker and Mailing List
------------------------------

Bug reports are welcome! You can use the `issue tracker
<https://bugs.python.org>`_ to report bugs, and/or submit pull requests `on
GitHub <https://github.com/python/cpython>`_.

You can also follow development discussion on the `python-dev mailing list
<https://mail.python.org/mailman/listinfo/python-dev/>`_.

Proposals for enhancement
-------------------------

If you have a proposal to change Python, you may want to send an email to the
comp.lang.python or `python-ideas`_ mailing lists for initial feedback. A
Python Enhancement Proposal (PEP) may be submitted if your idea gains ground.
All current PEPs, as well as guidelines for submitting a new PEP, are listed at
`python.org/dev/peps/ <https://www.python.org/dev/peps/>`_.

.. _python-ideas: https://mail.python.org/mailman/listinfo/python-ideas/

Release Schedule
----------------

See :pep:`569` for Python 3.8 release details.

See the file "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.

一键复制编辑原始数据按行查看历史

zhangweibo 提交于 2021年11月16日 09:46 +08:00 . git init

This is Python version 3.8.1

CPython build status on Azure DevOps Python Zulip chat

See the end of this file for further copyright and license information.

Contents

General Information
Contributing to CPython
Using Python
Build Instructions
- Profile Guided Optimization
- Link Time Optimization
What's New
Documentation
Converting From Python 2.x to 3.x
Testing
Installing multiple versions
Issue Tracker and Mailing List
Proposals for enhancement
Release Schedule
Copyright and License Information

General Information

Website: https://github.com/python/cpython
Issue tracker: https://docs.python.org
Developer's Guide: Contributing to CPython
For more complete instructions on contributing to CPython development, see the Using Python
Installable Python kits, and information about using Python, are available at 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 useable on all platforms. Refer to 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 PCbuild/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 flavour. 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 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 Misc/NEWS, but a full accounting of changes can only be gleaned from the
Documentation

Doc/README.rst.

Converting From Python 2.x to 3.x

Significant backward incompatible changes were made for the release of Python 3.0, which may cause programs written for Python 2 to fail when run with Python 3. For more information about porting your code from Python 2 to Python 3, see the 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 testall.

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 Running & Writing Tests 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/pythonX.Y. 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 3.8 with 3.8 being the primary version, you would execute make install in your 3.8 build directory and make altinstall in the others.

Issue Tracker and Mailing List

Bug reports are welcome! You can use the on GitHub.

You can also follow development discussion on the Proposals for enhancement
If you have a proposal to change Python, you may want to send an email to the comp.lang.python or python.org/dev/peps/.

Release Schedule

See Copyright and License Information
Copyright (c) 2001-2019 Python Software Foundation. All rights reserved.

Copyright (c) 2000 BeOpen.com. All rights reserved.

Copyright (c) 1995-2001 Corporation for National Research Initiatives. All rights reserved.

Copyright (c) 1991-1995 Stichting Mathematisch Centrum. All rights reserved.

See the file "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.