# 1. Distutils 模块介绍

本文档介绍了使用 Distutils 模块分发你的 Python 模块，主要是针对开发者/分发者的使用的——如果你想了解如何安装 Python 模块，你应该参考这个章节： 安裝 Python 模組（舊版）。

## 1.1. 概念和术语

Using the Distutils is quite simple, both for module developers and for users/administrators installing third-party modules. As a developer, your responsibilities (apart from writing solid, well-documented and well-tested code, of course!) are:

- 编写一个设置脚本

- (可选)编写设置脚本的配置文件

- 创建源码的发行版

- （可选）创建一个或多个编译好（二进制）的发行版

每个这些任务均已在此文档覆盖.

Not all module developers have access to a multitude of platforms, so it’s not always feasible to expect them to create a multitude of built distributions. It is hoped that a class of intermediaries, called packagers, will arise to address this need. Packagers will take source distributions released by module developers, build them on one or more platforms, and release the resulting built distributions. Thus, users on the most popular platforms will be able to install most popular Python module distributions in the most natural way for their platform, without having to run a single setup script or compile a line of code.

## 1.2. 一个简单的例子

The setup script is usually quite simple, although since it’s written in Python, there are no arbitrary limits to what you can do with it, though you should be careful about putting arbitrarily expensive operations in your setup script. Unlike, say, Autoconf-style configure scripts, the setup script may be run multiple times in the course of building and installing your module distribution.

If all you want to do is distribute a module called `foo`, contained in a file `foo.py`, then your setup script can be as simple as this:

    from distutils.core import setup
    setup(name='foo',
          version='1.0',
          py_modules=['foo'],
          )

一些观察:

- most information that you supply to the Distutils is supplied as keyword arguments to the `setup()` function

- those keyword arguments fall into two categories: package metadata (name, version number) and information about what’s in the package (a list of pure Python modules, in this case)

- modules are specified by module name, not filename (the same will hold true for packages and extensions)

- it’s recommended that you supply a little more metadata, in particular your name, email address and a URL for the project (see section 编写安装脚本 for an example)

To create a source distribution for this module, you would create a setup script, `setup.py`, containing the above code, and run this command from a terminal:

    python setup.py sdist

Windows用户, 打开命令行窗口 (Start ‣ Accessories) 并且更改命令为:

    setup.py sdist

sdist 将会创建文档文件 (例如Unix中的tarball,Windows的zip文件) 包含你的配置文件 `setup.py`, 你的模块 `foo.py`. 此文档文件将会命名为 `foo-1.0.tar.gz` (or `.zip`), 并且解包到此目录 `foo-1.0`.

If an end-user wishes to install your `foo` module, all they have to do is download `foo-1.0.tar.gz` (or `.zip`), unpack it, and—from the `foo-1.0` directory—run

    python setup.py install

which will ultimately copy `foo.py` to the appropriate directory for third-party modules in their Python installation.

This simple example demonstrates some fundamental concepts of the Distutils. First, both developers and installers have the same basic user interface, i.e. the setup script. The difference is which Distutils commands they use: the sdist command is almost exclusively for module developers, while install is more often for installers (although most developers will want to install their own code occasionally).

If you want to make things really easy for your users, you can create one or more built distributions for them. For instance, if you are running on a Windows machine, and want to make things easy for other Windows users, you can create an executable installer (the most appropriate type of built distribution for this platform) with the bdist_wininst command. For example:

    python setup.py bdist_wininst

will create an executable installer, `foo-1.0.win32.exe`, in the current directory.

Other useful built distribution formats are RPM, implemented by the bdist_rpm command, Solaris pkgtool (bdist_pkgtool), and HP-UX swinstall (bdist_sdux). For example, the following command will create an RPM file called `foo-1.0.noarch.rpm`:

    python setup.py bdist_rpm

(The bdist_rpm command uses the rpm executable, therefore this has to be run on an RPM-based system such as Red Hat Linux, SuSE Linux, or Mandrake Linux.)

You can find out what distribution formats are available at any time by running

    python setup.py bdist --help-formats

## 1.3. 通用的 Python 术语

If you’re reading this document, you probably have a good idea of what modules, extensions, and so forth are. Nevertheless, just to be sure that everyone is operating from a common starting point, we offer the following glossary of common Python terms:

module 模块

  the basic unit of code reusability in Python: a block of code imported by some other code. Three types of modules concern us here: pure Python modules, extension modules, and packages.

纯 Python 模块

  a module written in Python and contained in a single `.py` file (and possibly associated `.pyc` files). Sometimes referred to as a 「pure module.」

extension module – 扩展模块

  a module written in the low-level language of the Python implementation: C/C++ for Python, Java for Jython. Typically contained in a single dynamically loadable pre-compiled file, e.g. a shared object (`.so`) file for Python extensions on Unix, a DLL (given the `.pyd` extension) for Python extensions on Windows, or a Java class file for Jython extensions. (Note that currently, the Distutils only handles C/C++ extensions for Python.)

package – 包

  a module that contains other modules; typically contained in a directory in the filesystem and distinguished from other directories by the presence of a file `__init__.py`.

root package

  the root of the hierarchy of packages. (This isn’t really a package, since it doesn’t have an `__init__.py` file. But we have to call it something.) The vast majority of the standard library is in the root package, as are many small, standalone third-party modules that don’t belong to a larger module collection. Unlike regular packages, modules in the root package can be found in many directories: in fact, every directory listed in `sys.path` contributes modules to the root package.

## 1.4. Distutils 特定的术语

The following terms apply more specifically to the domain of distributing Python modules using the Distutils:

module distribution

  a collection of Python modules distributed together as a single downloadable resource and meant to be installed en masse. Examples of some well-known module distributions are NumPy, SciPy, Pillow, or mxBase. (This would be called a package, except that term is already taken in the Python context: a single module distribution may contain zero, one, or many Python packages.)

pure module distribution

  a module distribution that contains only pure Python modules and packages. Sometimes referred to as a 「pure distribution.」

non-pure module distribution

  a module distribution that contains at least one extension module. Sometimes referred to as a 「non-pure distribution.」

distribution root

  the top-level directory of your source tree (or source distribution); the directory where `setup.py` exists. Generally `setup.py` will be run from this directory.