cx_Freeze 可执行文件之间的公共 lib 文件夹

cx_Freeze common lib folder between executables

我正在将一套 python 脚本编译成可执行文件。为此,我正在使用 cx_Freeze。

比较常见的问题是 lib 文件夹变得非常大。我尽可能地排除了模块以减少它的大小,但它仍然相当大。

由于我正在编译多个可执行文件,是否可以有一个共享的 lib 文件夹供它们全部引用以减少磁盘大小?

例子setup.py如下:

import sys, os
from cx_Freeze import setup, Executable

base = None
if sys.platform == 'win32':
    base = 'Win32GUI'

executables = [
    Executable('MYSCRIPT.py', base=base)
]

additional_mods = ["numpy.core._methods", "numpy.lib.format"]
exclude_mods = ["babel", "scipy", "PyQt5", "tornado", "zmq", "sphinx", "sphinx_rtd_theme", "psutil", "notebook", "nbconvert", "lxml", "cryptography", "bottleneck", "matplotlib"]

build_exe_options = {"excludes": exclude_mods, "includes": additional_mods, "optimize": 1}

os.environ['TCL_LIBRARY'] = r'C:\ProgramData\Anaconda3\tcl\tcl8.6'
os.environ['TK_LIBRARY'] = r'C:\ProgramData\Anaconda3\tcl\tk8.6'

setup(name='MYSCRIPT',
      version='0.1',
      includes = ['os'],
      options = {"build_exe": build_exe_options},
      description='MYSCRIPT',
      executables=executables
      )

是的,这是可能的。诀窍是使用单个 setup.py,其中多个脚本被添加到 executables 列表。

以下面一对 console-based 脚本为例,它们都使用 numpy:

main1.py:

import numpy

print('Program 1, numpy version %s' % numpy.__version__)
input('Press ENTER to quit')

main2.py:

import numpy

print('Program 2, numpy version %s' % numpy.__version__)
input('Press ENTER to quit')

您可以使用 cx_Freeze 使用以下 setup.py:

立即冻结此脚本
from cx_Freeze import setup, Executable

base = None

executables = [Executable('main1.py', base=base),
               Executable('main2.py', base=base)]

additional_mods = ["numpy.core._methods", "numpy.lib.format"]

build_exe_options = {"includes": additional_mods}

setup(name='MYSCRIPTS',
      version='0.1',
      options={"build_exe": build_exe_options},
      description='MYSCRIPTS',
      executables=executables)

然后你得到两个可执行文件 main1.exemain2.exe 共享包含 numpy 的相同 lib 文件夹。