Python 多处理安装:命令“python setup.py egg_info"；失败，错误代码 1

问题描述

尝试安装:

     pip install multiprocessing

出现错误:

Collecting multiprocessing
Using cached multiprocessing-2.6.2.1.tar.gz
Complete output from command python setup.py egg_info:
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "/private/var/folders/7s/sswmssj51p73hky4mkqs4_zc0000gn/T/pip-build-8c0dk6ai/multiprocessing/setup.py", line 94
    print 'Macros:'
                  ^
SyntaxError: Missing parentheses in call to 'print'

----------------------------------------
Command "python setup.py egg_info" failed with error code 1 in /private/var/folders/7s/sswmssj51p73hky4mkqs4_zc0000gn/T/pip-build-8c0dk6ai/multiprocessing/

有人知道解决这个问题的方法吗?

Anyone knows the way to fix this?

推荐答案

简而言之:python 3中已经预装了Multiprocessing，无需安装.

我找到了我的问题的答案，这是一个愚蠢的答案 - 默认情况下，多处理已预安装在我的 Python 版本 (3.5.2) 中.

I found an answer to my question and it's a silly one - multiprocessing is already pre-installed in my version of Python (3.5.2) by default.

它不会出现在 Anaconda >> Environments >> root 的软件包列表中，因为它不是第三方软件包而是内部软件包.

It won't show up in the list of packages in Anaconda >> Environments >> root, as it's not a third party package but an internal one.

如果有人不确定这是否适用于您，只需在 Python 控制台中检查 from multiprocessing import Pool.

If anyone is not sure whether this applies to you, just check from multiprocessing import Pool in your Python console.

这适用于所有当前支持的 Python 版本(2.7 和 3.x)，并且根据 Python 维护者/贡献者的说法 multiprocessing 自 Python 2.6 以来一直是标准库(包括电池)的一部分.https://bugs.python.org/msg326646

This is true of all currently supported versions of Python (2.7 and 3.x) and according to a Python maintainer/contributor multiprocessing has been part of the standard library (batteries included) since Python 2.6. https://bugs.python.org/msg326646

您不再需要执行 pip install multiprocessing 并且不要将它包含在您的 requirements.txt 中，除非您正在维护一个 Python 2.4/2.5 应用程序(请迁移！).在大多数版本上，您只需 import multiprocessing 就可以了.

You won't need to do a pip install multiprocessing anymore and do NOT include it in your requirements.txt unless you are maintaining a Python 2.4/2.5 application (please migrate!). On most versions you can just import multiprocessing and you should be fine.

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