mirror of https://github.com/python/cpython
668 lines
29 KiB
ReStructuredText
668 lines
29 KiB
ReStructuredText
.. _setup-script:
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************************
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Writing the Setup Script
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************************
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The setup script is the centre of all activity in building, distributing, and
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installing modules using the Distutils. The main purpose of the setup script is
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to describe your module distribution to the Distutils, so that the various
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commands that operate on your modules do the right thing. As we saw in section
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:ref:`distutils-simple-example` above, the setup script consists mainly of a call to
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:func:`setup`, and most information supplied to the Distutils by the module
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developer is supplied as keyword arguments to :func:`setup`.
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Here's a slightly more involved example, which we'll follow for the next couple
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of sections: the Distutils' own setup script. (Keep in mind that although the
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Distutils are included with Python 1.6 and later, they also have an independent
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existence so that Python 1.5.2 users can use them to install other module
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distributions. The Distutils' own setup script, shown here, is used to install
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the package into Python 1.5.2.) ::
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#!/usr/bin/env python
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from distutils.core import setup
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setup(name='Distutils',
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version='1.0',
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description='Python Distribution Utilities',
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author='Greg Ward',
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author_email='gward@python.net',
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url='http://www.python.org/sigs/distutils-sig/',
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packages=['distutils', 'distutils.command'],
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)
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There are only two differences between this and the trivial one-file
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distribution presented in section :ref:`distutils-simple-example`: more metadata, and the
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specification of pure Python modules by package, rather than by module. This is
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important since the Distutils consist of a couple of dozen modules split into
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(so far) two packages; an explicit list of every module would be tedious to
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generate and difficult to maintain. For more information on the additional
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meta-data, see section :ref:`meta-data`.
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Note that any pathnames (files or directories) supplied in the setup script
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should be written using the Unix convention, i.e. slash-separated. The
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Distutils will take care of converting this platform-neutral representation into
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whatever is appropriate on your current platform before actually using the
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pathname. This makes your setup script portable across operating systems, which
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of course is one of the major goals of the Distutils. In this spirit, all
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pathnames in this document are slash-separated. (Mac OS 9 programmers should
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keep in mind that the *absence* of a leading slash indicates a relative path,
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the opposite of the Mac OS convention with colons.)
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This, of course, only applies to pathnames given to Distutils functions. If
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you, for example, use standard Python functions such as :func:`glob.glob` or
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:func:`os.listdir` to specify files, you should be careful to write portable
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code instead of hardcoding path separators::
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glob.glob(os.path.join('mydir', 'subdir', '*.html'))
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os.listdir(os.path.join('mydir', 'subdir'))
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.. _listing-packages:
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Listing whole packages
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======================
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The :option:`packages` option tells the Distutils to process (build, distribute,
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install, etc.) all pure Python modules found in each package mentioned in the
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:option:`packages` list. In order to do this, of course, there has to be a
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correspondence between package names and directories in the filesystem. The
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default correspondence is the most obvious one, i.e. package :mod:`distutils` is
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found in the directory :file:`distutils` relative to the distribution root.
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Thus, when you say ``packages = ['foo']`` in your setup script, you are
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promising that the Distutils will find a file :file:`foo/__init__.py` (which
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might be spelled differently on your system, but you get the idea) relative to
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the directory where your setup script lives. If you break this promise, the
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Distutils will issue a warning but still process the broken package anyways.
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If you use a different convention to lay out your source directory, that's no
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problem: you just have to supply the :option:`package_dir` option to tell the
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Distutils about your convention. For example, say you keep all Python source
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under :file:`lib`, so that modules in the "root package" (i.e., not in any
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package at all) are in :file:`lib`, modules in the :mod:`foo` package are in
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:file:`lib/foo`, and so forth. Then you would put ::
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package_dir = {'': 'lib'}
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in your setup script. The keys to this dictionary are package names, and an
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empty package name stands for the root package. The values are directory names
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relative to your distribution root. In this case, when you say ``packages =
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['foo']``, you are promising that the file :file:`lib/foo/__init__.py` exists.
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Another possible convention is to put the :mod:`foo` package right in
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:file:`lib`, the :mod:`foo.bar` package in :file:`lib/bar`, etc. This would be
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written in the setup script as ::
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package_dir = {'foo': 'lib'}
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A ``package: dir`` entry in the :option:`package_dir` dictionary implicitly
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applies to all packages below *package*, so the :mod:`foo.bar` case is
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automatically handled here. In this example, having ``packages = ['foo',
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'foo.bar']`` tells the Distutils to look for :file:`lib/__init__.py` and
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:file:`lib/bar/__init__.py`. (Keep in mind that although :option:`package_dir`
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applies recursively, you must explicitly list all packages in
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:option:`packages`: the Distutils will *not* recursively scan your source tree
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looking for any directory with an :file:`__init__.py` file.)
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.. _listing-modules:
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Listing individual modules
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==========================
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For a small module distribution, you might prefer to list all modules rather
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than listing packages---especially the case of a single module that goes in the
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"root package" (i.e., no package at all). This simplest case was shown in
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section :ref:`distutils-simple-example`; here is a slightly more involved example::
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py_modules = ['mod1', 'pkg.mod2']
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This describes two modules, one of them in the "root" package, the other in the
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:mod:`pkg` package. Again, the default package/directory layout implies that
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these two modules can be found in :file:`mod1.py` and :file:`pkg/mod2.py`, and
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that :file:`pkg/__init__.py` exists as well. And again, you can override the
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package/directory correspondence using the :option:`package_dir` option.
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.. _describing-extensions:
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Describing extension modules
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============================
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Just as writing Python extension modules is a bit more complicated than writing
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pure Python modules, describing them to the Distutils is a bit more complicated.
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Unlike pure modules, it's not enough just to list modules or packages and expect
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the Distutils to go out and find the right files; you have to specify the
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extension name, source file(s), and any compile/link requirements (include
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directories, libraries to link with, etc.).
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.. XXX read over this section
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All of this is done through another keyword argument to :func:`setup`, the
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:option:`ext_modules` option. :option:`ext_modules` is just a list of
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:class:`Extension` instances, each of which describes a single extension module.
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Suppose your distribution includes a single extension, called :mod:`foo` and
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implemented by :file:`foo.c`. If no additional instructions to the
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compiler/linker are needed, describing this extension is quite simple::
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Extension('foo', ['foo.c'])
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The :class:`Extension` class can be imported from :mod:`distutils.core` along
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with :func:`setup`. Thus, the setup script for a module distribution that
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contains only this one extension and nothing else might be::
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from distutils.core import setup, Extension
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setup(name='foo',
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version='1.0',
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ext_modules=[Extension('foo', ['foo.c'])],
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)
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The :class:`Extension` class (actually, the underlying extension-building
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machinery implemented by the :command:`build_ext` command) supports a great deal
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of flexibility in describing Python extensions, which is explained in the
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following sections.
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Extension names and packages
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----------------------------
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The first argument to the :class:`Extension` constructor is always the name of
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the extension, including any package names. For example, ::
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Extension('foo', ['src/foo1.c', 'src/foo2.c'])
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describes an extension that lives in the root package, while ::
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Extension('pkg.foo', ['src/foo1.c', 'src/foo2.c'])
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describes the same extension in the :mod:`pkg` package. The source files and
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resulting object code are identical in both cases; the only difference is where
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in the filesystem (and therefore where in Python's namespace hierarchy) the
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resulting extension lives.
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If you have a number of extensions all in the same package (or all under the
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same base package), use the :option:`ext_package` keyword argument to
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:func:`setup`. For example, ::
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setup(...
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ext_package='pkg',
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ext_modules=[Extension('foo', ['foo.c']),
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Extension('subpkg.bar', ['bar.c'])],
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)
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will compile :file:`foo.c` to the extension :mod:`pkg.foo`, and :file:`bar.c` to
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:mod:`pkg.subpkg.bar`.
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Extension source files
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----------------------
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The second argument to the :class:`Extension` constructor is a list of source
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files. Since the Distutils currently only support C, C++, and Objective-C
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extensions, these are normally C/C++/Objective-C source files. (Be sure to use
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appropriate extensions to distinguish C++\ source files: :file:`.cc` and
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:file:`.cpp` seem to be recognized by both Unix and Windows compilers.)
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However, you can also include SWIG interface (:file:`.i`) files in the list; the
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:command:`build_ext` command knows how to deal with SWIG extensions: it will run
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SWIG on the interface file and compile the resulting C/C++ file into your
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extension.
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**\*\*** SWIG support is rough around the edges and largely untested! **\*\***
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This warning notwithstanding, options to SWIG can be currently passed like
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this::
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setup(...
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ext_modules=[Extension('_foo', ['foo.i'],
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swig_opts=['-modern', '-I../include'])],
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py_modules=['foo'],
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)
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Or on the commandline like this::
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> python setup.py build_ext --swig-opts="-modern -I../include"
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On some platforms, you can include non-source files that are processed by the
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compiler and included in your extension. Currently, this just means Windows
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message text (:file:`.mc`) files and resource definition (:file:`.rc`) files for
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Visual C++. These will be compiled to binary resource (:file:`.res`) files and
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linked into the executable.
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Preprocessor options
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--------------------
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Three optional arguments to :class:`Extension` will help if you need to specify
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include directories to search or preprocessor macros to define/undefine:
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``include_dirs``, ``define_macros``, and ``undef_macros``.
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For example, if your extension requires header files in the :file:`include`
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directory under your distribution root, use the ``include_dirs`` option::
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Extension('foo', ['foo.c'], include_dirs=['include'])
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You can specify absolute directories there; if you know that your extension will
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only be built on Unix systems with X11R6 installed to :file:`/usr`, you can get
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away with ::
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Extension('foo', ['foo.c'], include_dirs=['/usr/include/X11'])
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You should avoid this sort of non-portable usage if you plan to distribute your
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code: it's probably better to write C code like ::
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#include <X11/Xlib.h>
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If you need to include header files from some other Python extension, you can
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take advantage of the fact that header files are installed in a consistent way
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by the Distutils :command:`install_header` command. For example, the Numerical
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Python header files are installed (on a standard Unix installation) to
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:file:`/usr/local/include/python1.5/Numerical`. (The exact location will differ
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according to your platform and Python installation.) Since the Python include
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directory---\ :file:`/usr/local/include/python1.5` in this case---is always
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included in the search path when building Python extensions, the best approach
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is to write C code like ::
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#include <Numerical/arrayobject.h>
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If you must put the :file:`Numerical` include directory right into your header
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search path, though, you can find that directory using the Distutils
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:mod:`distutils.sysconfig` module::
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from distutils.sysconfig import get_python_inc
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incdir = os.path.join(get_python_inc(plat_specific=1), 'Numerical')
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setup(...,
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Extension(..., include_dirs=[incdir]),
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)
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Even though this is quite portable---it will work on any Python installation,
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regardless of platform---it's probably easier to just write your C code in the
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sensible way.
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You can define and undefine pre-processor macros with the ``define_macros`` and
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``undef_macros`` options. ``define_macros`` takes a list of ``(name, value)``
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tuples, where ``name`` is the name of the macro to define (a string) and
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``value`` is its value: either a string or ``None``. (Defining a macro ``FOO``
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to ``None`` is the equivalent of a bare ``#define FOO`` in your C source: with
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most compilers, this sets ``FOO`` to the string ``1``.) ``undef_macros`` is
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just a list of macros to undefine.
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For example::
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Extension(...,
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define_macros=[('NDEBUG', '1'),
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('HAVE_STRFTIME', None)],
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undef_macros=['HAVE_FOO', 'HAVE_BAR'])
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is the equivalent of having this at the top of every C source file::
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#define NDEBUG 1
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#define HAVE_STRFTIME
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#undef HAVE_FOO
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#undef HAVE_BAR
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Library options
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---------------
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You can also specify the libraries to link against when building your extension,
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and the directories to search for those libraries. The ``libraries`` option is
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a list of libraries to link against, ``library_dirs`` is a list of directories
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to search for libraries at link-time, and ``runtime_library_dirs`` is a list of
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directories to search for shared (dynamically loaded) libraries at run-time.
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For example, if you need to link against libraries known to be in the standard
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library search path on target systems ::
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Extension(...,
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libraries=['gdbm', 'readline'])
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If you need to link with libraries in a non-standard location, you'll have to
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include the location in ``library_dirs``::
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Extension(...,
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library_dirs=['/usr/X11R6/lib'],
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libraries=['X11', 'Xt'])
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(Again, this sort of non-portable construct should be avoided if you intend to
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distribute your code.)
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**\*\*** Should mention clib libraries here or somewhere else! **\*\***
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Other options
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-------------
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There are still some other options which can be used to handle special cases.
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The :option:`extra_objects` option is a list of object files to be passed to the
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linker. These files must not have extensions, as the default extension for the
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compiler is used.
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:option:`extra_compile_args` and :option:`extra_link_args` can be used to
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specify additional command line options for the respective compiler and linker
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command lines.
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:option:`export_symbols` is only useful on Windows. It can contain a list of
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symbols (functions or variables) to be exported. This option is not needed when
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building compiled extensions: Distutils will automatically add ``initmodule``
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to the list of exported symbols.
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Relationships between Distributions and Packages
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================================================
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A distribution may relate to packages in three specific ways:
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#. It can require packages or modules.
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#. It can provide packages or modules.
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#. It can obsolete packages or modules.
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These relationships can be specified using keyword arguments to the
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:func:`distutils.core.setup` function.
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Dependencies on other Python modules and packages can be specified by supplying
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the *requires* keyword argument to :func:`setup`. The value must be a list of
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strings. Each string specifies a package that is required, and optionally what
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versions are sufficient.
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To specify that any version of a module or package is required, the string
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should consist entirely of the module or package name. Examples include
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``'mymodule'`` and ``'xml.parsers.expat'``.
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If specific versions are required, a sequence of qualifiers can be supplied in
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parentheses. Each qualifier may consist of a comparison operator and a version
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number. The accepted comparison operators are::
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< > ==
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<= >= !=
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These can be combined by using multiple qualifiers separated by commas (and
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optional whitespace). In this case, all of the qualifiers must be matched; a
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logical AND is used to combine the evaluations.
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Let's look at a bunch of examples:
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+-------------------------+----------------------------------------------+
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| Requires Expression | Explanation |
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+=========================+==============================================+
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| ``==1.0`` | Only version ``1.0`` is compatible |
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+-------------------------+----------------------------------------------+
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| ``>1.0, !=1.5.1, <2.0`` | Any version after ``1.0`` and before ``2.0`` |
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| | is compatible, except ``1.5.1`` |
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+-------------------------+----------------------------------------------+
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Now that we can specify dependencies, we also need to be able to specify what we
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provide that other distributions can require. This is done using the *provides*
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keyword argument to :func:`setup`. The value for this keyword is a list of
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strings, each of which names a Python module or package, and optionally
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identifies the version. If the version is not specified, it is assumed to match
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that of the distribution.
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Some examples:
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+---------------------+----------------------------------------------+
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| Provides Expression | Explanation |
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+=====================+==============================================+
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| ``mypkg`` | Provide ``mypkg``, using the distribution |
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| | version |
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+---------------------+----------------------------------------------+
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| ``mypkg (1.1)`` | Provide ``mypkg`` version 1.1, regardless of |
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| | the distribution version |
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+---------------------+----------------------------------------------+
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A package can declare that it obsoletes other packages using the *obsoletes*
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keyword argument. The value for this is similar to that of the *requires*
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keyword: a list of strings giving module or package specifiers. Each specifier
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consists of a module or package name optionally followed by one or more version
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qualifiers. Version qualifiers are given in parentheses after the module or
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package name.
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The versions identified by the qualifiers are those that are obsoleted by the
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distribution being described. If no qualifiers are given, all versions of the
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named module or package are understood to be obsoleted.
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Installing Scripts
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==================
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So far we have been dealing with pure and non-pure Python modules, which are
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usually not run by themselves but imported by scripts.
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Scripts are files containing Python source code, intended to be started from the
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command line. Scripts don't require Distutils to do anything very complicated.
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The only clever feature is that if the first line of the script starts with
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``#!`` and contains the word "python", the Distutils will adjust the first line
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to refer to the current interpreter location. By default, it is replaced with
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the current interpreter location. The :option:`--executable` (or :option:`-e`)
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option will allow the interpreter path to be explicitly overridden.
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The :option:`scripts` option simply is a list of files to be handled in this
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way. From the PyXML setup script::
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setup(...
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scripts=['scripts/xmlproc_parse', 'scripts/xmlproc_val']
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)
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Installing Package Data
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=======================
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Often, additional files need to be installed into a package. These files are
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often data that's closely related to the package's implementation, or text files
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containing documentation that might be of interest to programmers using the
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package. These files are called :dfn:`package data`.
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Package data can be added to packages using the ``package_data`` keyword
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argument to the :func:`setup` function. The value must be a mapping from
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package name to a list of relative path names that should be copied into the
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package. The paths are interpreted as relative to the directory containing the
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package (information from the ``package_dir`` mapping is used if appropriate);
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that is, the files are expected to be part of the package in the source
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directories. They may contain glob patterns as well.
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The path names may contain directory portions; any necessary directories will be
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created in the installation.
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For example, if a package should contain a subdirectory with several data files,
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the files can be arranged like this in the source tree::
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setup.py
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src/
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mypkg/
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__init__.py
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module.py
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data/
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tables.dat
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spoons.dat
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forks.dat
|
|
|
|
The corresponding call to :func:`setup` might be::
|
|
|
|
setup(...,
|
|
packages=['mypkg'],
|
|
package_dir={'mypkg': 'src/mypkg'},
|
|
package_data={'mypkg': ['data/*.dat']},
|
|
)
|
|
|
|
|
|
Installing Additional Files
|
|
===========================
|
|
|
|
The :option:`data_files` option can be used to specify additional files needed
|
|
by the module distribution: configuration files, message catalogs, data files,
|
|
anything which doesn't fit in the previous categories.
|
|
|
|
:option:`data_files` specifies a sequence of (*directory*, *files*) pairs in the
|
|
following way::
|
|
|
|
setup(...
|
|
data_files=[('bitmaps', ['bm/b1.gif', 'bm/b2.gif']),
|
|
('config', ['cfg/data.cfg']),
|
|
('/etc/init.d', ['init-script'])]
|
|
)
|
|
|
|
Note that you can specify the directory names where the data files will be
|
|
installed, but you cannot rename the data files themselves.
|
|
|
|
Each (*directory*, *files*) pair in the sequence specifies the installation
|
|
directory and the files to install there. If *directory* is a relative path, it
|
|
is interpreted relative to the installation prefix (Python's ``sys.prefix`` for
|
|
pure-Python packages, ``sys.exec_prefix`` for packages that contain extension
|
|
modules). Each file name in *files* is interpreted relative to the
|
|
:file:`setup.py` script at the top of the package source distribution. No
|
|
directory information from *files* is used to determine the final location of
|
|
the installed file; only the name of the file is used.
|
|
|
|
You can specify the :option:`data_files` options as a simple sequence of files
|
|
without specifying a target directory, but this is not recommended, and the
|
|
:command:`install` command will print a warning in this case. To install data
|
|
files directly in the target directory, an empty string should be given as the
|
|
directory.
|
|
|
|
|
|
.. _meta-data:
|
|
|
|
Additional meta-data
|
|
====================
|
|
|
|
The setup script may include additional meta-data beyond the name and version.
|
|
This information includes:
|
|
|
|
+----------------------+---------------------------+-----------------+--------+
|
|
| Meta-Data | Description | Value | Notes |
|
|
+======================+===========================+=================+========+
|
|
| ``name`` | name of the package | short string | \(1) |
|
|
+----------------------+---------------------------+-----------------+--------+
|
|
| ``version`` | version of this release | short string | (1)(2) |
|
|
+----------------------+---------------------------+-----------------+--------+
|
|
| ``author`` | package author's name | short string | \(3) |
|
|
+----------------------+---------------------------+-----------------+--------+
|
|
| ``author_email`` | email address of the | email address | \(3) |
|
|
| | package author | | |
|
|
+----------------------+---------------------------+-----------------+--------+
|
|
| ``maintainer`` | package maintainer's name | short string | \(3) |
|
|
+----------------------+---------------------------+-----------------+--------+
|
|
| ``maintainer_email`` | email address of the | email address | \(3) |
|
|
| | package maintainer | | |
|
|
+----------------------+---------------------------+-----------------+--------+
|
|
| ``url`` | home page for the package | URL | \(1) |
|
|
+----------------------+---------------------------+-----------------+--------+
|
|
| ``description`` | short, summary | short string | |
|
|
| | description of the | | |
|
|
| | package | | |
|
|
+----------------------+---------------------------+-----------------+--------+
|
|
| ``long_description`` | longer description of the | long string | |
|
|
| | package | | |
|
|
+----------------------+---------------------------+-----------------+--------+
|
|
| ``download_url`` | location where the | URL | \(4) |
|
|
| | package may be downloaded | | |
|
|
+----------------------+---------------------------+-----------------+--------+
|
|
| ``classifiers`` | a list of classifiers | list of strings | \(4) |
|
|
+----------------------+---------------------------+-----------------+--------+
|
|
|
|
Notes:
|
|
|
|
(1)
|
|
These fields are required.
|
|
|
|
(2)
|
|
It is recommended that versions take the form *major.minor[.patch[.sub]]*.
|
|
|
|
(3)
|
|
Either the author or the maintainer must be identified.
|
|
|
|
(4)
|
|
These fields should not be used if your package is to be compatible with Python
|
|
versions prior to 2.2.3 or 2.3. The list is available from the `PyPI website
|
|
<http://www.python.org/pypi>`_.
|
|
|
|
'short string'
|
|
A single line of text, not more than 200 characters.
|
|
|
|
'long string'
|
|
Multiple lines of plain text in reStructuredText format (see
|
|
http://docutils.sf.net/).
|
|
|
|
'list of strings'
|
|
See below.
|
|
|
|
None of the string values may be Unicode.
|
|
|
|
Encoding the version information is an art in itself. Python packages generally
|
|
adhere to the version format *major.minor[.patch][sub]*. The major number is 0
|
|
for initial, experimental releases of software. It is incremented for releases
|
|
that represent major milestones in a package. The minor number is incremented
|
|
when important new features are added to the package. The patch number
|
|
increments when bug-fix releases are made. Additional trailing version
|
|
information is sometimes used to indicate sub-releases. These are
|
|
"a1,a2,...,aN" (for alpha releases, where functionality and API may change),
|
|
"b1,b2,...,bN" (for beta releases, which only fix bugs) and "pr1,pr2,...,prN"
|
|
(for final pre-release release testing). Some examples:
|
|
|
|
0.1.0
|
|
the first, experimental release of a package
|
|
|
|
1.0.1a2
|
|
the second alpha release of the first patch version of 1.0
|
|
|
|
:option:`classifiers` are specified in a python list::
|
|
|
|
setup(...
|
|
classifiers=[
|
|
'Development Status :: 4 - Beta',
|
|
'Environment :: Console',
|
|
'Environment :: Web Environment',
|
|
'Intended Audience :: End Users/Desktop',
|
|
'Intended Audience :: Developers',
|
|
'Intended Audience :: System Administrators',
|
|
'License :: OSI Approved :: Python Software Foundation License',
|
|
'Operating System :: MacOS :: MacOS X',
|
|
'Operating System :: Microsoft :: Windows',
|
|
'Operating System :: POSIX',
|
|
'Programming Language :: Python',
|
|
'Topic :: Communications :: Email',
|
|
'Topic :: Office/Business',
|
|
'Topic :: Software Development :: Bug Tracking',
|
|
],
|
|
)
|
|
|
|
If you wish to include classifiers in your :file:`setup.py` file and also wish
|
|
to remain backwards-compatible with Python releases prior to 2.2.3, then you can
|
|
include the following code fragment in your :file:`setup.py` before the
|
|
:func:`setup` call. ::
|
|
|
|
# patch distutils if it can't cope with the "classifiers" or
|
|
# "download_url" keywords
|
|
from sys import version
|
|
if version < '2.2.3':
|
|
from distutils.dist import DistributionMetadata
|
|
DistributionMetadata.classifiers = None
|
|
DistributionMetadata.download_url = None
|
|
|
|
|
|
Debugging the setup script
|
|
==========================
|
|
|
|
Sometimes things go wrong, and the setup script doesn't do what the developer
|
|
wants.
|
|
|
|
Distutils catches any exceptions when running the setup script, and print a
|
|
simple error message before the script is terminated. The motivation for this
|
|
behaviour is to not confuse administrators who don't know much about Python and
|
|
are trying to install a package. If they get a big long traceback from deep
|
|
inside the guts of Distutils, they may think the package or the Python
|
|
installation is broken because they don't read all the way down to the bottom
|
|
and see that it's a permission problem.
|
|
|
|
On the other hand, this doesn't help the developer to find the cause of the
|
|
failure. For this purpose, the DISTUTILS_DEBUG environment variable can be set
|
|
to anything except an empty string, and distutils will now print detailed
|
|
information what it is doing, and prints the full traceback in case an exception
|
|
occurs.
|
|
|
|
|