setup.py 5.04 KB
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#!/usr/bin/env python

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# Setup script for PyPI; use CMakeFile.txt to build extension modules
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from setuptools import setup
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from distutils.command.install_headers import install_headers
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from distutils.command.build_py import build_py
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from pybind11 import __version__
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import os
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package_data = [
    'include/pybind11/detail/class.h',
    'include/pybind11/detail/common.h',
    'include/pybind11/detail/descr.h',
    'include/pybind11/detail/init.h',
    'include/pybind11/detail/internals.h',
    'include/pybind11/detail/typeid.h',
    'include/pybind11/attr.h',
    'include/pybind11/buffer_info.h',
    'include/pybind11/cast.h',
    'include/pybind11/chrono.h',
    'include/pybind11/common.h',
    'include/pybind11/complex.h',
    'include/pybind11/eigen.h',
    'include/pybind11/embed.h',
    'include/pybind11/eval.h',
    'include/pybind11/functional.h',
    'include/pybind11/iostream.h',
    'include/pybind11/numpy.h',
    'include/pybind11/operators.h',
    'include/pybind11/options.h',
    'include/pybind11/pybind11.h',
    'include/pybind11/pytypes.h',
    'include/pybind11/stl.h',
    'include/pybind11/stl_bind.h',
]

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# Prevent installation of pybind11 headers by setting
# PYBIND11_USE_CMAKE.
if os.environ.get('PYBIND11_USE_CMAKE'):
    headers = []
else:
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    headers = package_data
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class InstallHeaders(install_headers):
    """Use custom header installer because the default one flattens subdirectories"""
    def run(self):
        if not self.distribution.headers:
            return

        for header in self.distribution.headers:
            subdir = os.path.dirname(os.path.relpath(header, 'include/pybind11'))
            install_dir = os.path.join(self.install_dir, subdir)
            self.mkpath(install_dir)

            (out, _) = self.copy_file(header, install_dir)
            self.outfiles.append(out)


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# Install the headers inside the package as well
class BuildPy(build_py):
    def build_package_data(self):
        build_py.build_package_data(self)
        for header in package_data:
            target = os.path.join(self.build_lib, 'pybind11', header)
            self.mkpath(os.path.dirname(target))
            self.copy_file(header, target, preserve_mode=False)

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    def get_outputs(self, include_bytecode=1):
        outputs = build_py.get_outputs(self, include_bytecode=include_bytecode)
        for header in package_data:
            target = os.path.join(self.build_lib, 'pybind11', header)
            outputs.append(target)
        return outputs

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setup(
    name='pybind11',
    version=__version__,
    description='Seamless operability between C++11 and Python',
    author='Wenzel Jakob',
    author_email='wenzel.jakob@epfl.ch',
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    url='https://github.com/pybind/pybind11',
    download_url='https://github.com/pybind/pybind11/tarball/v' + __version__,
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    packages=['pybind11'],
    license='BSD',
    headers=headers,
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    zip_safe=False,
    cmdclass=dict(install_headers=InstallHeaders, build_py=BuildPy),
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    classifiers=[
        'Development Status :: 5 - Production/Stable',
        'Intended Audience :: Developers',
        'Topic :: Software Development :: Libraries :: Python Modules',
        'Topic :: Utilities',
        'Programming Language :: C++',
        'Programming Language :: Python :: 2.7',
        'Programming Language :: Python :: 3',
        'Programming Language :: Python :: 3.2',
        'Programming Language :: Python :: 3.3',
        'Programming Language :: Python :: 3.4',
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        'Programming Language :: Python :: 3.5',
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        'Programming Language :: Python :: 3.6',
        'License :: OSI Approved :: BSD License'
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    ],
    keywords='C++11, Python bindings',
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    long_description="""pybind11 is a lightweight header-only library that
exposes C++ types in Python and vice versa, mainly to create Python bindings of
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existing C++ code. Its goals and syntax are similar to the excellent
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Boost.Python by David Abrahams: to minimize boilerplate code in traditional
extension modules by inferring type information using compile-time
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introspection.

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The main issue with Boost.Python-and the reason for creating such a similar
project-is Boost. Boost is an enormously large and complex suite of utility
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libraries that works with almost every C++ compiler in existence. This
compatibility has its cost: arcane template tricks and workarounds are
necessary to support the oldest and buggiest of compiler specimens. Now that
C++11-compatible compilers are widely available, this heavy machinery has
become an excessively large and unnecessary dependency.

Think of this library as a tiny self-contained version of Boost.Python with
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everything stripped away that isn't relevant for binding generation. Without
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comments, the core header files only require ~4K lines of code and depend on
Python (2.7 or 3.x, or PyPy2.7 >= 5.7) and the C++ standard library. This
compact implementation was possible thanks to some of the new C++11 language
features (specifically: tuples, lambda functions and variadic templates). Since
its creation, this library has grown beyond Boost.Python in many ways, leading
to dramatically simpler binding code in many common situations.""")